From 061246fb07c1acdc299c9acb1f0692e27fe0f469 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 7 May 2023 07:22:12 +0200 Subject: [PATCH 001/142] Vulkan loader code --- Makefile | 10 ++ ggml-vulkan-matmul.glsl | 105 +++++++++++++++++++++ ggml-vulkan.cpp | 203 ++++++++++++++++++++++++++++++++++++++++ ggml-vulkan.h | 24 +++++ ggml.c | 4 + 5 files changed, 346 insertions(+) create mode 100644 ggml-vulkan-matmul.glsl create mode 100644 ggml-vulkan.cpp create mode 100644 ggml-vulkan.h diff --git a/Makefile b/Makefile index 03f38bdba04ec..2af16554ef2ca 100644 --- a/Makefile +++ b/Makefile @@ -213,6 +213,16 @@ ggml-metal.o: ggml-metal.m ggml-metal.h $(CC) $(CFLAGS) -c $< -o $@ endif # LLAMA_METAL +ifdef LLAMA_VULKAN + CFLAGS += -DGGML_USE_VULKAN + LDFLAGS += -lvulkan + OBJS += ggml-vulkan.o ggml-vulkan-matmul-shader +ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h + $(CXX) $(CXXFLAGS) -c $< -o $@ +ggml-vulkan-matmul-shader: + glslc -fshader-stage=compute --target-env=vulkan1.2 -O ggml-vulkan-matmul.glsl -o ggml-vulkan-matmul.spv +endif + ifneq ($(filter aarch64%,$(UNAME_M)),) # Apple M1, M2, etc. # Raspberry Pi 3, 4, Zero 2 (64-bit) diff --git a/ggml-vulkan-matmul.glsl b/ggml-vulkan-matmul.glsl new file mode 100644 index 0000000000000..7570e75e12bd3 --- /dev/null +++ b/ggml-vulkan-matmul.glsl @@ -0,0 +1,105 @@ +// Copyright 2023 Google LLC +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// https://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +// Modified by 0cc4m for FP32 + +#version 450 core +#pragma use_vulkan_memory_model + +#extension GL_EXT_scalar_block_layout : enable +#extension GL_EXT_control_flow_attributes : enable + +#extension GL_KHR_shader_subgroup_basic : enable + +layout(binding = 0) buffer InputA { vec4 x[]; } inputA; +layout(binding = 1) buffer InputB { vec4 x[]; } inputB; +layout(binding = 2) buffer Output { float x[]; } outputO; + +layout(local_size_x = WG_X, local_size_y = WG_Y, local_size_z = 1) in; + +layout(constant_id = 0) const uint M = 1; +layout(constant_id = 1) const uint N = 1; +layout(constant_id = 2) const uint K = 1; + +const uint VECTORIZE_K = 4; +const uint K_VEC = K / VECTORIZE_K; +const uint K0_VEC = K0 / VECTORIZE_K; + +const uint VECTORIZE_N = 4; +const uint N_VEC = N / VECTORIZE_N; +const uint N0_VEC = N0 / VECTORIZE_N; + +const uint strideA = K_VEC; // Stride of the `inputA` matrix. +const uint strideB = K_VEC; // Stride of the `inputB` matrix. +const uint strideC = N; // Stride of the `outputO` matrix. + +// Each workgroup processes an output tile of size [M0 x N0], therefore +// each thread processes a [M0/WG_Y x N0/WG_X] subview. +const uint C_ROWS = M0 / WG_Y; +const uint C_COLS = N0 / WG_X; + +/// Returns the index of `X[i, j]`, where `X` is a 2D matrix of stride |stride|. +uint coordToOffset(uint i, uint j, uint stride) { return stride * i + j; } + +float sdot(vec4 lhs, vec4 rhs) { + vec4 mul = vec4(lhs) * vec4(rhs); + return float(mul.x) + float(mul.y) + float(mul.z) + float(mul.w); +} + +void main() { + const uvec2 wgID = gl_WorkGroupID.xy; + const uvec2 localID = gl_LocalInvocationID.xy; + const uint threadID = gl_SubgroupInvocationID; + const uint subgroupID = gl_SubgroupID; + const uint subgroupSz = gl_SubgroupSize; + const uint numSubgroups = gl_NumSubgroups; + + // The start offsets of the tile processed by this thread in this workgroup. + const uint x_offset = wgID.x * N0 + C_COLS * localID.x; + const uint y_offset = wgID.y * M0 + C_ROWS * localID.y; + + float C[C_ROWS][C_COLS]; // Local data for the output. + + // Initialize result to zero. + [[unroll]] for (uint i = 0; i < C_ROWS; ++i) { + [[unroll]] for (uint j = 0; j < C_COLS; ++j) { + C[i][j] = 0; + } + } + + for (uint k = 0; k < K_VEC; k += K0_VEC) { + [[unroll]] for (uint i = 0; i < C_ROWS; ++i) { + [[unroll]] for (uint kk = 0; kk < K0_VEC; ++kk) { + uint y = y_offset + i; + uint gk = k + (kk + threadID) % K0_VEC; + vec4 lhs = inputA.x[coordToOffset(y, gk, strideA)]; + [[unroll]] for (uint j = 0; j < C_COLS; ++j) { + // Calculate the inner product `C[i, j] := sum(A[i, ..] * B[j, ..])`. + uint x = x_offset + j; + vec4 rhs = inputB.x[coordToOffset(x, gk, strideB)]; + C[i][j] += sdot(lhs, rhs); + } + } + } + } + + // Store the accumulated results in `outputO`. + [[unroll]] for (uint i = 0; i < C_ROWS; ++i) { + uint y = y_offset + i; + [[unroll]] for (uint j = 0; j < C_COLS; ++j) { + uint x = x_offset + j; + outputO.x[coordToOffset(y, x, strideC)] = C[i][j]; + } + } +} diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp new file mode 100644 index 0000000000000..7777154f22129 --- /dev/null +++ b/ggml-vulkan.cpp @@ -0,0 +1,203 @@ +#include "ggml-vulkan.h" + +#include +#include "external/vk_mem_alloc.h" + +#include +#include + +#include "ggml.h" + +// static cl_platform_id platform; +// static cl_device_id device; +// static cl_context context; +// static cl_command_queue queue; +// static cl_program program; +// static cl_kernel kernel_q4_0, kernel_q4_1, kernel_q4_2, kernel_q5_0, kernel_q5_1, kernel_q8_0; +// static cl_mem cl_buffer_a, cl_buffer_qb, cl_buffer_b, cl_buffer_c; +// static size_t cl_size_a = 0, cl_size_qb = 0, cl_size_b = 0, cl_size_c = 0; + +vk::Instance instance; +vk::PhysicalDevice physical_device; +vk::Device device; +VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; +vk::Buffer vk_buffer_qa, vk_buffer_a, vk_buffer_b, vk_buffer_c; + +void ggml_vk_init(void) { + char* GGML_VULKAN_DEVICE = getenv("GGML_VULKAN_DEVICE"); + int dev_num = (GGML_VULKAN_DEVICE == NULL ? 0 : atoi(GGML_VULKAN_DEVICE)); + printf("\nInitializing Vulkan..."); + printf("\nAttempting to use: Device=%d\n", dev_num); + + vk::ApplicationInfo app_info{ "ggml-vulkan", 1, nullptr, 0, VK_API_VERSION_1_2 }; + const std::vector layers = { "VK_LAYER_KHRONOS_validation" }; + vk::InstanceCreateInfo instance_create_info(vk::InstanceCreateFlags(), &app_info, layers.size(), layers.data()); + instance = vk::createInstance(instance_create_info); + + physical_device = instance.enumeratePhysicalDevices()[dev_num]; + vk::PhysicalDeviceProperties device_props = physical_device.getProperties(); + std::cout << "Picked: " << device_props.deviceName << std::endl; + + std::vector queue_family_props = physical_device.getQueueFamilyProperties(); + auto prop_it = std::find_if(queue_family_props.begin(), queue_family_props.end(), [](const vk::QueueFamilyProperties& prop) + { + return prop.queueFlags & vk::QueueFlagBits::eCompute; + }); + const uint32_t compute_queue_family_index = std::distance(queue_family_props.begin(), prop_it); + + const float queue_priority = 1.0f; + vk::DeviceQueueCreateInfo device_queue_create_info(vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, &queue_priority); + vk::DeviceCreateInfo device_create_info(vk::DeviceCreateFlags(), device_queue_create_info); + device = physical_device.createDevice(device_create_info); + + +} + +// static void ggml_cl_malloc(size_t req_size, size_t* cur_size, cl_mem_flags flags, cl_mem* buf) { +// if (req_size <= *cur_size) { +// return; +// } +// +// // Reallocate buffer with enough space +// if (*cur_size > 0) { +// clReleaseMemObject(*buf); +// } +// cl_int err; +// *buf = clCreateBuffer(context, flags, req_size, NULL, &err); +// *cur_size = req_size; +// CL_CHECK(err, "clCreateBuffer"); +// } +// +// void ggml_cl_sgemm_wrapper( +// const enum ggml_blas_order order, const enum ggml_blas_op trans_a, const enum ggml_blas_op trans_b, +// const int m, const int n, const int k, +// const float alpha, const void *host_a, const int lda, +// const float *host_b, const int ldb, const float beta, +// float *host_c, const int ldc, const int btype) { +// cl_int err = 0; +// +// cl_kernel kernel; +// size_t global = n * k, local, size_qb; +// bool dequant; +// cl_block_q5_0* cl_host_b; +// +// switch (btype) { +// case GGML_TYPE_F32: +// dequant = false; +// break; +// case GGML_TYPE_Q4_0: +// dequant = true; +// kernel = kernel_q4_0; +// local = 16; +// size_qb = global * (sizeof(float) + local) / 32; +// break; +// case GGML_TYPE_Q4_1: +// dequant = true; +// kernel = kernel_q4_1; +// local = 16; +// size_qb = global * (sizeof(float) * 2 + local) / 32; +// break; +// case GGML_TYPE_Q4_2: +// dequant = true; +// kernel = kernel_q4_2; +// local = 8; +// size_qb = global * (sizeof(ggml_fp16_t) + local) / 16; +// break; +// case GGML_TYPE_Q5_0: +// dequant = true; +// kernel = kernel_q5_0; +// local = 16; +// // For some reason OpenCL seems to be incapable of working with structs of size 22. +// // 20 and 24 bytes are fine. Workaround to do the fp16 to fp32 step on CPU... +// // TODO Find the reason, fix and remove workaround. +// const block_q5_0* b = (const block_q5_0*) host_b; +// cl_host_b = (cl_block_q5_0*) malloc(sizeof(cl_block_q5_0) * global / 32); +// for (size_t i = 0; i < global / 32; i++) { +// cl_host_b[i].d = ggml_fp16_to_fp32(b[i].d); +// memcpy(&cl_host_b[i].qh, b[i].qh, sizeof(uint32_t)); +// memcpy(&cl_host_b[i].qs, b[i].qs, QK5_0 / 2); +// } +// host_b = (const float*) cl_host_b; +// size_qb = global * (sizeof(float) + sizeof(uint32_t) + local) / 32; +// break; +// case GGML_TYPE_Q5_1: +// dequant = true; +// kernel = kernel_q5_1; +// local = 16; +// size_qb = global * (sizeof(ggml_fp16_t) * 2 + sizeof(uint32_t) + local) / 32; +// break; +// case GGML_TYPE_Q8_0: +// dequant = true; +// kernel = kernel_q8_0; +// local = 32; +// size_qb = global * (sizeof(float) + local) / 32; +// break; +// default: +// fprintf(stderr, "Error: Unsupported OpenCL btype %d\n", btype); +// abort(); +// } +// +// const size_t size_a = m * k * sizeof(float); +// const size_t size_b = n * k * sizeof(float); +// const size_t size_c = m * n * sizeof(float); +// +// // Prepare buffers +// ggml_cl_malloc(size_a, &cl_size_a, CL_MEM_READ_ONLY, &cl_buffer_a); +// if (dequant) { +// ggml_cl_malloc(size_qb, &cl_size_qb, CL_MEM_READ_ONLY, &cl_buffer_qb); +// } +// ggml_cl_malloc(size_b, &cl_size_b, CL_MEM_READ_WRITE, &cl_buffer_b); +// ggml_cl_malloc(size_c, &cl_size_c, CL_MEM_WRITE_ONLY, &cl_buffer_c); +// +// cl_event ev_a, ev_qb, ev_b; +// +// if (dequant) { +// err = clSetKernelArg(kernel, 0, sizeof(cl_mem), &cl_buffer_qb); +// err |= clSetKernelArg(kernel, 1, sizeof(cl_mem), &cl_buffer_b); +// CL_CHECK(err, "clSetKernelArg"); +// err = clEnqueueWriteBuffer(queue, cl_buffer_qb, CL_FALSE, 0, size_qb, host_b, 0, NULL, &ev_qb); +// CL_CHECK(err, "clEnqueueWriteBuffer qb"); +// } else { +// err = clEnqueueWriteBuffer(queue, cl_buffer_b, CL_FALSE, 0, size_b, host_b, 0, NULL, &ev_b); +// CL_CHECK(err, "clEnqueueWriteBuffer b"); +// } +// +// err = clEnqueueWriteBuffer(queue, cl_buffer_a, CL_FALSE, 0, size_a, host_a, 0, NULL, &ev_a); +// CL_CHECK(err, "clEnqueueWriteBuffer a"); +// if (dequant) { +// err = clEnqueueNDRangeKernel(queue, kernel, 1, NULL, &global, &local, 1, &ev_qb, &ev_b); +// CL_CHECK(err, "clEnqueueNDRangeKernel"); +// clReleaseEvent(ev_qb); +// } +// clWaitForEvents(1, &ev_a); +// clWaitForEvents(1, &ev_b); +// clReleaseEvent(ev_a); +// clReleaseEvent(ev_b); +// +// cl_event ev_sgemm; +// CLBlastStatusCode status = CLBlastSgemm((CLBlastLayout)order, +// (CLBlastTranspose)trans_a, (CLBlastTranspose)trans_b, +// m, n, k, +// alpha, +// cl_buffer_a, 0, lda, +// cl_buffer_b, 0, ldb, +// beta, +// cl_buffer_c, 0, ldc, +// &queue, &ev_sgemm); +// +// if (status != CLBlastSuccess) { +// fprintf(stderr, "Error: CLBlast SGEMM %d\n", status); +// abort(); +// } +// +// cl_event ev_c; +// clEnqueueReadBuffer(queue, cl_buffer_c, CL_TRUE, 0, size_c, host_c, 1, &ev_sgemm, &ev_c); +// +// // Wait for completion +// clWaitForEvents(1, &ev_c); +// clReleaseEvent(ev_sgemm); +// clReleaseEvent(ev_c); +// if (btype == GGML_TYPE_Q5_0) { +// free((void*) cl_host_b); +// } +// } diff --git a/ggml-vulkan.h b/ggml-vulkan.h new file mode 100644 index 0000000000000..8dfda90a233bb --- /dev/null +++ b/ggml-vulkan.h @@ -0,0 +1,24 @@ +#pragma once + +#ifdef __cplusplus +extern "C" { +#endif + +void ggml_vk_init(void); + +// enum ggml_blas_order { +// GGML_BLAS_ORDER_ROW_MAJOR = 101, +// GGML_BLAS_ORDER_COLUMN_MAJOR = 102, +// }; +// +// enum ggml_blas_op { +// GGML_BLAS_OP_N = 111, +// GGML_BLAS_OP_T = 112, +// GGML_BLAS_OP_C = 113, +// }; +// +// void ggml_cl_sgemm_wrapper(const enum ggml_blas_order order, const enum ggml_blas_op trans_a, const enum ggml_blas_op trans_b, const int m, const int n, const int k, const float alpha, const void *host_a, const int lda, const float *host_b, const int ldb, const float beta, float *host_c, const int ldc, const int btype); + +#ifdef __cplusplus +} +#endif diff --git a/ggml.c b/ggml.c index 684caaa376e56..6071eabd2d251 100644 --- a/ggml.c +++ b/ggml.c @@ -234,6 +234,8 @@ inline static void* ggml_aligned_malloc(size_t size) { #include "ggml-cuda.h" #elif defined(GGML_USE_CLBLAST) #include "ggml-opencl.h" +#elif defined(GGML_USE_VULKAN) +#include "ggml-vulkan.h" #endif #undef MIN @@ -4265,6 +4267,8 @@ struct ggml_context * ggml_init(struct ggml_init_params params) { ggml_init_cublas(); #elif defined(GGML_USE_CLBLAST) ggml_cl_init(); +#elif defined(GGML_USE_VULKAN) + ggml_vk_init(); #endif is_first_call = false; From 4a96d0eb7fda8d681e49baecc50e45aa6678c08f Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 10 Jun 2023 16:24:37 +0200 Subject: [PATCH 002/142] Fix matmul kernel, continue implementation --- Makefile | 2 +- ggml-vulkan-matmul.glsl | 7 +++++++ ggml-vulkan.cpp | 43 +++++++++++++++++++++++++++++++++++++++-- 3 files changed, 49 insertions(+), 3 deletions(-) diff --git a/Makefile b/Makefile index 2af16554ef2ca..5523d9d045a5c 100644 --- a/Makefile +++ b/Makefile @@ -216,7 +216,7 @@ endif # LLAMA_METAL ifdef LLAMA_VULKAN CFLAGS += -DGGML_USE_VULKAN LDFLAGS += -lvulkan - OBJS += ggml-vulkan.o ggml-vulkan-matmul-shader + OBJS += ggml-vulkan.o ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h $(CXX) $(CXXFLAGS) -c $< -o $@ ggml-vulkan-matmul-shader: diff --git a/ggml-vulkan-matmul.glsl b/ggml-vulkan-matmul.glsl index 7570e75e12bd3..e26fbbc09e7a8 100644 --- a/ggml-vulkan-matmul.glsl +++ b/ggml-vulkan-matmul.glsl @@ -12,6 +12,7 @@ // See the License for the specific language governing permissions and // limitations under the License. +// Original at https://github.com/google/uVkCompute/blob/f3180c7e72ae639c0a7bc8cff7ed615b63ced27c/benchmarks/mmt/mmt_i8.glsl // Modified by 0cc4m for FP32 #version 450 core @@ -22,6 +23,12 @@ #extension GL_KHR_shader_subgroup_basic : enable +#define WG_X 32 +#define WG_Y 2 +#define M0 32 +#define N0 256 +#define K0 16 + layout(binding = 0) buffer InputA { vec4 x[]; } inputA; layout(binding = 1) buffer InputB { vec4 x[]; } inputB; layout(binding = 2) buffer Output { float x[]; } outputO; diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 7777154f22129..58dca8ba9ab24 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -19,7 +19,8 @@ vk::Instance instance; vk::PhysicalDevice physical_device; -vk::Device device; +vk::Device vk_device; +vk::Pipeline vk_pipeline_matmul; VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; vk::Buffer vk_buffer_qa, vk_buffer_a, vk_buffer_b, vk_buffer_c; @@ -48,9 +49,47 @@ void ggml_vk_init(void) { const float queue_priority = 1.0f; vk::DeviceQueueCreateInfo device_queue_create_info(vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, &queue_priority); vk::DeviceCreateInfo device_create_info(vk::DeviceCreateFlags(), device_queue_create_info); - device = physical_device.createDevice(device_create_info); + vk_device = physical_device.createDevice(device_create_info); + std::vector matmul_shader_contents; + if (std::ifstream shader_file{ "ggml-vulkan-matmul.spv", std::ios::binary | std::ios::ate }) { + const size_t file_size = shader_file.tellg(); + shader_file.seekg(0); + matmul_shader_contents.resize(file_size, '\0'); + shader_file.read(matmul_shader_contents.data(), file_size); + } + vk::ShaderModuleCreateInfo shader_module_create_info( + vk::ShaderModuleCreateFlags(), + matmul_shader_contents.size(), + reinterpret_cast(matmul_shader_contents.data()) + ); + vk::ShaderModule shader_module = vk_device.createShaderModule(shader_module_create_info); + + const std::vector descriptor_set_layout_binding = { + {0, vk::DescriptorType::eStorageBuffer, 1, vk::ShaderStageFlagBits::eCompute}, + {1, vk::DescriptorType::eStorageBuffer, 1, vk::ShaderStageFlagBits::eCompute}, + {2, vk::DescriptorType::eStorageBuffer, 1, vk::ShaderStageFlagBits::eCompute} + }; + vk::DescriptorSetLayoutCreateInfo descriptor_set_layout_create_info( + vk::DescriptorSetLayoutCreateFlags(), + descriptor_set_layout_binding); + vk::DescriptorSetLayout descriptor_set_layout = vk_device.createDescriptorSetLayout(descriptor_set_layout_create_info); + + vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), descriptor_set_layout); + vk::PipelineLayout pipeline_layout = vk_device.createPipelineLayout(pipeline_layout_create_info); + vk::PipelineCache pipeline_cache = vk_device.createPipelineCache(vk::PipelineCacheCreateInfo()); + + vk::PipelineShaderStageCreateInfo pipeline_shader_create_info( + vk::PipelineShaderStageCreateFlags(), + vk::ShaderStageFlagBits::eCompute, + shader_module, + "main"); + vk::ComputePipelineCreateInfo compute_pipeline_create_info( + vk::PipelineCreateFlags(), // Flags + pipeline_shader_create_info, // Shader Create Info struct + pipeline_layout); // Pipeline Layout + vk_pipeline_matmul = vk_device.createComputePipeline(pipeline_cache, compute_pipeline_create_info).value; } // static void ggml_cl_malloc(size_t req_size, size_t* cur_size, cl_mem_flags flags, cl_mem* buf) { From 88d4ec05a8c5d2481fc17766670279ff74442ae1 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 11 Jun 2023 08:49:43 +0200 Subject: [PATCH 003/142] Continue implementation --- ggml-vulkan.cpp | 302 +++++++++++++++++++++--------------------------- 1 file changed, 129 insertions(+), 173 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 58dca8ba9ab24..6c18061a93fc1 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -3,23 +3,20 @@ #include #include "external/vk_mem_alloc.h" -#include +#include #include +#include +#include #include "ggml.h" -// static cl_platform_id platform; -// static cl_device_id device; -// static cl_context context; -// static cl_command_queue queue; -// static cl_program program; -// static cl_kernel kernel_q4_0, kernel_q4_1, kernel_q4_2, kernel_q5_0, kernel_q5_1, kernel_q8_0; -// static cl_mem cl_buffer_a, cl_buffer_qb, cl_buffer_b, cl_buffer_c; -// static size_t cl_size_a = 0, cl_size_qb = 0, cl_size_b = 0, cl_size_c = 0; - -vk::Instance instance; -vk::PhysicalDevice physical_device; +#define VK_API_VERSION VK_API_VERSION_1_2 + +vk::Instance vk_instance; +uint32_t vk_compute_queue_family_index; +vk::PhysicalDevice vk_physical_device; vk::Device vk_device; +vk::DescriptorSetLayout vk_pipeline_matmul_dsl; vk::Pipeline vk_pipeline_matmul; VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; vk::Buffer vk_buffer_qa, vk_buffer_a, vk_buffer_b, vk_buffer_c; @@ -27,29 +24,27 @@ vk::Buffer vk_buffer_qa, vk_buffer_a, vk_buffer_b, vk_buffer_c; void ggml_vk_init(void) { char* GGML_VULKAN_DEVICE = getenv("GGML_VULKAN_DEVICE"); int dev_num = (GGML_VULKAN_DEVICE == NULL ? 0 : atoi(GGML_VULKAN_DEVICE)); - printf("\nInitializing Vulkan..."); - printf("\nAttempting to use: Device=%d\n", dev_num); - vk::ApplicationInfo app_info{ "ggml-vulkan", 1, nullptr, 0, VK_API_VERSION_1_2 }; + vk::ApplicationInfo app_info{ "ggml-vulkan", 1, nullptr, 0, VK_API_VERSION }; const std::vector layers = { "VK_LAYER_KHRONOS_validation" }; vk::InstanceCreateInfo instance_create_info(vk::InstanceCreateFlags(), &app_info, layers.size(), layers.data()); - instance = vk::createInstance(instance_create_info); + vk_instance = vk::createInstance(instance_create_info); - physical_device = instance.enumeratePhysicalDevices()[dev_num]; - vk::PhysicalDeviceProperties device_props = physical_device.getProperties(); - std::cout << "Picked: " << device_props.deviceName << std::endl; + vk_physical_device = vk_instance.enumeratePhysicalDevices()[dev_num]; + vk::PhysicalDeviceProperties device_props = vk_physical_device.getProperties(); + std::cout << "ggml_vulkan: Using " << device_props.deviceName << std::endl; - std::vector queue_family_props = physical_device.getQueueFamilyProperties(); + std::vector queue_family_props = vk_physical_device.getQueueFamilyProperties(); auto prop_it = std::find_if(queue_family_props.begin(), queue_family_props.end(), [](const vk::QueueFamilyProperties& prop) { return prop.queueFlags & vk::QueueFlagBits::eCompute; }); - const uint32_t compute_queue_family_index = std::distance(queue_family_props.begin(), prop_it); + vk_compute_queue_family_index = std::distance(queue_family_props.begin(), prop_it); const float queue_priority = 1.0f; - vk::DeviceQueueCreateInfo device_queue_create_info(vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, &queue_priority); + vk::DeviceQueueCreateInfo device_queue_create_info(vk::DeviceQueueCreateFlags(), vk_compute_queue_family_index, 1, &queue_priority); vk::DeviceCreateInfo device_create_info(vk::DeviceCreateFlags(), device_queue_create_info); - vk_device = physical_device.createDevice(device_create_info); + vk_device = vk_physical_device.createDevice(device_create_info); std::vector matmul_shader_contents; if (std::ifstream shader_file{ "ggml-vulkan-matmul.spv", std::ios::binary | std::ios::ate }) { @@ -74,9 +69,9 @@ void ggml_vk_init(void) { vk::DescriptorSetLayoutCreateInfo descriptor_set_layout_create_info( vk::DescriptorSetLayoutCreateFlags(), descriptor_set_layout_binding); - vk::DescriptorSetLayout descriptor_set_layout = vk_device.createDescriptorSetLayout(descriptor_set_layout_create_info); + vk_pipeline_matmul_dsl = vk_device.createDescriptorSetLayout(descriptor_set_layout_create_info); - vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), descriptor_set_layout); + vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), vk_pipeline_matmul_dsl); vk::PipelineLayout pipeline_layout = vk_device.createPipelineLayout(pipeline_layout_create_info); vk::PipelineCache pipeline_cache = vk_device.createPipelineCache(vk::PipelineCacheCreateInfo()); @@ -92,151 +87,112 @@ void ggml_vk_init(void) { vk_pipeline_matmul = vk_device.createComputePipeline(pipeline_cache, compute_pipeline_create_info).value; } -// static void ggml_cl_malloc(size_t req_size, size_t* cur_size, cl_mem_flags flags, cl_mem* buf) { -// if (req_size <= *cur_size) { -// return; -// } -// -// // Reallocate buffer with enough space -// if (*cur_size > 0) { -// clReleaseMemObject(*buf); -// } -// cl_int err; -// *buf = clCreateBuffer(context, flags, req_size, NULL, &err); -// *cur_size = req_size; -// CL_CHECK(err, "clCreateBuffer"); -// } -// -// void ggml_cl_sgemm_wrapper( -// const enum ggml_blas_order order, const enum ggml_blas_op trans_a, const enum ggml_blas_op trans_b, -// const int m, const int n, const int k, -// const float alpha, const void *host_a, const int lda, -// const float *host_b, const int ldb, const float beta, -// float *host_c, const int ldc, const int btype) { -// cl_int err = 0; -// -// cl_kernel kernel; -// size_t global = n * k, local, size_qb; -// bool dequant; -// cl_block_q5_0* cl_host_b; -// -// switch (btype) { -// case GGML_TYPE_F32: -// dequant = false; -// break; -// case GGML_TYPE_Q4_0: -// dequant = true; -// kernel = kernel_q4_0; -// local = 16; -// size_qb = global * (sizeof(float) + local) / 32; -// break; -// case GGML_TYPE_Q4_1: -// dequant = true; -// kernel = kernel_q4_1; -// local = 16; -// size_qb = global * (sizeof(float) * 2 + local) / 32; -// break; -// case GGML_TYPE_Q4_2: -// dequant = true; -// kernel = kernel_q4_2; -// local = 8; -// size_qb = global * (sizeof(ggml_fp16_t) + local) / 16; -// break; -// case GGML_TYPE_Q5_0: -// dequant = true; -// kernel = kernel_q5_0; -// local = 16; -// // For some reason OpenCL seems to be incapable of working with structs of size 22. -// // 20 and 24 bytes are fine. Workaround to do the fp16 to fp32 step on CPU... -// // TODO Find the reason, fix and remove workaround. -// const block_q5_0* b = (const block_q5_0*) host_b; -// cl_host_b = (cl_block_q5_0*) malloc(sizeof(cl_block_q5_0) * global / 32); -// for (size_t i = 0; i < global / 32; i++) { -// cl_host_b[i].d = ggml_fp16_to_fp32(b[i].d); -// memcpy(&cl_host_b[i].qh, b[i].qh, sizeof(uint32_t)); -// memcpy(&cl_host_b[i].qs, b[i].qs, QK5_0 / 2); -// } -// host_b = (const float*) cl_host_b; -// size_qb = global * (sizeof(float) + sizeof(uint32_t) + local) / 32; -// break; -// case GGML_TYPE_Q5_1: -// dequant = true; -// kernel = kernel_q5_1; -// local = 16; -// size_qb = global * (sizeof(ggml_fp16_t) * 2 + sizeof(uint32_t) + local) / 32; -// break; -// case GGML_TYPE_Q8_0: -// dequant = true; -// kernel = kernel_q8_0; -// local = 32; -// size_qb = global * (sizeof(float) + local) / 32; -// break; -// default: -// fprintf(stderr, "Error: Unsupported OpenCL btype %d\n", btype); -// abort(); -// } -// -// const size_t size_a = m * k * sizeof(float); -// const size_t size_b = n * k * sizeof(float); -// const size_t size_c = m * n * sizeof(float); -// -// // Prepare buffers -// ggml_cl_malloc(size_a, &cl_size_a, CL_MEM_READ_ONLY, &cl_buffer_a); -// if (dequant) { -// ggml_cl_malloc(size_qb, &cl_size_qb, CL_MEM_READ_ONLY, &cl_buffer_qb); -// } -// ggml_cl_malloc(size_b, &cl_size_b, CL_MEM_READ_WRITE, &cl_buffer_b); -// ggml_cl_malloc(size_c, &cl_size_c, CL_MEM_WRITE_ONLY, &cl_buffer_c); -// -// cl_event ev_a, ev_qb, ev_b; -// -// if (dequant) { -// err = clSetKernelArg(kernel, 0, sizeof(cl_mem), &cl_buffer_qb); -// err |= clSetKernelArg(kernel, 1, sizeof(cl_mem), &cl_buffer_b); -// CL_CHECK(err, "clSetKernelArg"); -// err = clEnqueueWriteBuffer(queue, cl_buffer_qb, CL_FALSE, 0, size_qb, host_b, 0, NULL, &ev_qb); -// CL_CHECK(err, "clEnqueueWriteBuffer qb"); -// } else { -// err = clEnqueueWriteBuffer(queue, cl_buffer_b, CL_FALSE, 0, size_b, host_b, 0, NULL, &ev_b); -// CL_CHECK(err, "clEnqueueWriteBuffer b"); -// } -// -// err = clEnqueueWriteBuffer(queue, cl_buffer_a, CL_FALSE, 0, size_a, host_a, 0, NULL, &ev_a); -// CL_CHECK(err, "clEnqueueWriteBuffer a"); -// if (dequant) { -// err = clEnqueueNDRangeKernel(queue, kernel, 1, NULL, &global, &local, 1, &ev_qb, &ev_b); -// CL_CHECK(err, "clEnqueueNDRangeKernel"); -// clReleaseEvent(ev_qb); -// } -// clWaitForEvents(1, &ev_a); -// clWaitForEvents(1, &ev_b); -// clReleaseEvent(ev_a); -// clReleaseEvent(ev_b); -// -// cl_event ev_sgemm; -// CLBlastStatusCode status = CLBlastSgemm((CLBlastLayout)order, -// (CLBlastTranspose)trans_a, (CLBlastTranspose)trans_b, -// m, n, k, -// alpha, -// cl_buffer_a, 0, lda, -// cl_buffer_b, 0, ldb, -// beta, -// cl_buffer_c, 0, ldc, -// &queue, &ev_sgemm); -// -// if (status != CLBlastSuccess) { -// fprintf(stderr, "Error: CLBlast SGEMM %d\n", status); -// abort(); -// } -// -// cl_event ev_c; -// clEnqueueReadBuffer(queue, cl_buffer_c, CL_TRUE, 0, size_c, host_c, 1, &ev_sgemm, &ev_c); -// -// // Wait for completion -// clWaitForEvents(1, &ev_c); -// clReleaseEvent(ev_sgemm); -// clReleaseEvent(ev_c); -// if (btype == GGML_TYPE_Q5_0) { -// free((void*) cl_host_b); -// } -// } +// buffer pool for vulkan +#define MAX_VK_BUFFERS 256 + +struct scoped_spin_lock { + std::atomic_flag& lock; + scoped_spin_lock(std::atomic_flag& lock) : lock(lock) { + while (lock.test_and_set(std::memory_order_acquire)) { + ; // spin + } + } + ~scoped_spin_lock() { + lock.clear(std::memory_order_release); + } + scoped_spin_lock(const scoped_spin_lock&) = delete; + scoped_spin_lock& operator=(const scoped_spin_lock&) = delete; +}; + +struct vk_buffer { + vk::Buffer buffer; + size_t size = 0; +}; + +static vk_buffer g_vk_buffer_pool[MAX_VK_BUFFERS]; +static std::atomic_flag g_vk_pool_lock = ATOMIC_FLAG_INIT; + +static vk::Buffer ggml_vk_pool_malloc(size_t size, size_t * actual_size) { + scoped_spin_lock lock(g_vk_pool_lock); + + int best_i = -1; + size_t best_size = std::numeric_limits::max(); //smallest unused buffer that fits our needs + int worst_i = -1; + size_t worst_size = 0; //largest unused buffer seen so far + for (int i = 0; i < MAX_VK_BUFFERS; ++i) { + vk_buffer &b = g_vk_buffer_pool[i]; + if (b.size > 0 && b.size >= size && b.size < best_size) + { + best_i = i; + best_size = b.size; + } + if (b.size > 0 && b.size > worst_size) + { + worst_i = i; + worst_size = b.size; + } + } + if(best_i!=-1) //found the smallest buffer that fits our needs + { + vk_buffer& b = g_vk_buffer_pool[best_i]; + vk::Buffer buffer = b.buffer; + *actual_size = b.size; + b.size = 0; + return buffer; + } + if(worst_i!=-1) //no buffer that fits our needs, resize largest one to save memory + { + vk_buffer& b = g_vk_buffer_pool[worst_i]; + vk::Buffer buffer = b.buffer; + b.size = 0; + // vkReleaseMemObject(buffer); + } + vk::Buffer buffer; + + vk::BufferCreateInfo buffer_create_info{ + vk::BufferCreateFlags(), + size, + vk::BufferUsageFlagBits::eStorageBuffer, + vk::SharingMode::eExclusive, + 1, + &vk_compute_queue_family_index + }; + + VmaAllocatorCreateInfo allocator_info = {}; + allocator_info.vulkanApiVersion = VK_API_VERSION; + allocator_info.physicalDevice = vk_physical_device; + allocator_info.device = vk_device; + allocator_info.instance = vk_instance; + + VmaAllocator allocator; + vmaCreateAllocator(&allocator_info, &allocator); + + VmaAllocationCreateInfo allocation_info = {}; + allocation_info.usage = VMA_MEMORY_USAGE_CPU_TO_GPU; + + VmaAllocation buffer_allocation; + vmaCreateBuffer(allocator, + &static_cast(buffer_create_info), + &allocation_info, + &static_cast(buffer), + &buffer_allocation, + nullptr); + + *actual_size = size; + return buffer; +} + +static void ggml_vk_pool_free(vk::Buffer buffer, size_t size) { + scoped_spin_lock lock(g_vk_pool_lock); + + for (int i = 0; i < MAX_VK_BUFFERS; ++i) { + vk_buffer& b = g_vk_buffer_pool[i]; + if (b.size == 0) { + b.buffer = buffer; + b.size = size; + return; + } + } + fprintf(stderr, "WARNING: vk buffer pool full, increase MAX_VK_BUFFERS\n"); + vkReleaseMemObject(mem); +} From a4004d4fa824e8e04db889264d786075cab8a42e Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 11 Jun 2023 19:26:52 +0200 Subject: [PATCH 004/142] Vulkan memory management --- ggml-vulkan.cpp | 71 ++++++++++++++++++++++++++++++++----------------- 1 file changed, 46 insertions(+), 25 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 6c18061a93fc1..5b0affbaec401 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1,6 +1,7 @@ #include "ggml-vulkan.h" #include +#define VMA_IMPLEMENTATION #include "external/vk_mem_alloc.h" #include @@ -106,13 +107,14 @@ struct scoped_spin_lock { struct vk_buffer { vk::Buffer buffer; + vk::DeviceMemory memory; size_t size = 0; }; static vk_buffer g_vk_buffer_pool[MAX_VK_BUFFERS]; static std::atomic_flag g_vk_pool_lock = ATOMIC_FLAG_INIT; -static vk::Buffer ggml_vk_pool_malloc(size_t size, size_t * actual_size) { +static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf) { scoped_spin_lock lock(g_vk_pool_lock); int best_i = -1; @@ -121,33 +123,33 @@ static vk::Buffer ggml_vk_pool_malloc(size_t size, size_t * actual_size) { size_t worst_size = 0; //largest unused buffer seen so far for (int i = 0; i < MAX_VK_BUFFERS; ++i) { vk_buffer &b = g_vk_buffer_pool[i]; - if (b.size > 0 && b.size >= size && b.size < best_size) - { + if (b.size > 0 && b.size >= size && b.size < best_size) { best_i = i; best_size = b.size; } - if (b.size > 0 && b.size > worst_size) - { + if (b.size > 0 && b.size > worst_size) { worst_i = i; worst_size = b.size; } } - if(best_i!=-1) //found the smallest buffer that fits our needs - { + if(best_i != -1) { + //found the smallest buffer that fits our needs vk_buffer& b = g_vk_buffer_pool[best_i]; - vk::Buffer buffer = b.buffer; - *actual_size = b.size; + buf->buffer = b.buffer; + buf->memory = b.memory; + buf->size = b.size; b.size = 0; - return buffer; + return; } - if(worst_i!=-1) //no buffer that fits our needs, resize largest one to save memory - { - vk_buffer& b = g_vk_buffer_pool[worst_i]; - vk::Buffer buffer = b.buffer; - b.size = 0; - // vkReleaseMemObject(buffer); + if(worst_i != -1) { + //no buffer that fits our needs, resize largest one to save memory + vk_buffer& b = g_vk_buffer_pool[worst_i]; + b.size = 0; + vk_device.freeMemory(b.memory); + vk_device.destroyBuffer(b.buffer); } - vk::Buffer buffer; + buf = new vk_buffer; + buf->size = size; vk::BufferCreateInfo buffer_create_info{ vk::BufferCreateFlags(), @@ -172,27 +174,46 @@ static vk::Buffer ggml_vk_pool_malloc(size_t size, size_t * actual_size) { VmaAllocation buffer_allocation; vmaCreateBuffer(allocator, - &static_cast(buffer_create_info), + (VkBufferCreateInfo*)&buffer_create_info, &allocation_info, - &static_cast(buffer), + (VkBuffer*)&buf->buffer, &buffer_allocation, nullptr); - *actual_size = size; - return buffer; + vk::MemoryRequirements buffer_memory_requirements = vk_device.getBufferMemoryRequirements(buf->buffer); + vk::PhysicalDeviceMemoryProperties memory_properties = vk_physical_device.getMemoryProperties(); + + uint32_t memory_type_index = uint32_t(~0); + + for (uint32_t current_memory_type_index = 0; current_memory_type_index < memory_properties.memoryTypeCount; current_memory_type_index++) { + vk::MemoryType memory_type = memory_properties.memoryTypes[current_memory_type_index]; + if ((vk::MemoryPropertyFlagBits::eHostVisible & memory_type.propertyFlags) && + (vk::MemoryPropertyFlagBits::eHostCoherent & memory_type.propertyFlags)) + { + memory_type_index = current_memory_type_index; + break; + } + } + + vk::MemoryAllocateInfo buffer_memory_allocate_info(buffer_memory_requirements.size, memory_type_index); + + buf->memory = vk_device.allocateMemory(buffer_memory_allocate_info); } -static void ggml_vk_pool_free(vk::Buffer buffer, size_t size) { +static void ggml_vk_pool_free(vk_buffer* buffer) { scoped_spin_lock lock(g_vk_pool_lock); for (int i = 0; i < MAX_VK_BUFFERS; ++i) { vk_buffer& b = g_vk_buffer_pool[i]; if (b.size == 0) { - b.buffer = buffer; - b.size = size; + b.buffer = buffer->buffer; + b.memory = buffer->memory; + b.size = buffer->size; return; } } fprintf(stderr, "WARNING: vk buffer pool full, increase MAX_VK_BUFFERS\n"); - vkReleaseMemObject(mem); + buffer->size = 0; + vk_device.freeMemory(buffer->memory); + vk_device.destroyBuffer(buffer->buffer); } From b0e65855d1f8f7a087a093a386927c8b15d2a8e9 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Mon, 12 Jun 2023 08:01:38 +0200 Subject: [PATCH 005/142] Vulkan development --- ggml-opencl.cpp | 4 +- ggml-vulkan.cpp | 358 +++++++++++++++++++++++++++++++++++++++++++----- 2 files changed, 323 insertions(+), 39 deletions(-) diff --git a/ggml-opencl.cpp b/ggml-opencl.cpp index fed4ffb0ccd05..b2fc16bd1d9cd 100644 --- a/ggml-opencl.cpp +++ b/ggml-opencl.cpp @@ -1360,8 +1360,8 @@ static cl_int ggml_cl_h2d_tensor_2d(cl_command_queue queue, cl_mem dst, size_t o } for (uint64_t i1 = 0; i1 < ne1; i1++) { // pretend the row is a matrix with cols=1 - const size_t buffer_origin[3] = { offset, i1, 0 }; - const size_t host_origin[3] = { 0, 0, 0 }; + const size_t buffer_origin[3] = { offset, i1*nb1, 0 }; + const size_t host_origin[3] = { 0, i1*ts*ne0/bs, 0 }; const size_t region[3] = { ts/bs, ne0, 1 }; err = clEnqueueWriteBufferRect(queue, dst, CL_FALSE, buffer_origin, host_origin, region, 0, 0, nb0, 0, ((const char *)x) + i1*nb0, 0, NULL, ev); if (err != CL_SUCCESS) { diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 5b0affbaec401..6552f8e3a541b 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -17,11 +17,14 @@ vk::Instance vk_instance; uint32_t vk_compute_queue_family_index; vk::PhysicalDevice vk_physical_device; vk::Device vk_device; +vmaAllocator vk_allocator; vk::DescriptorSetLayout vk_pipeline_matmul_dsl; vk::Pipeline vk_pipeline_matmul; VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; vk::Buffer vk_buffer_qa, vk_buffer_a, vk_buffer_b, vk_buffer_c; +bool vk_fp16_support = false; + void ggml_vk_init(void) { char* GGML_VULKAN_DEVICE = getenv("GGML_VULKAN_DEVICE"); int dev_num = (GGML_VULKAN_DEVICE == NULL ? 0 : atoi(GGML_VULKAN_DEVICE)); @@ -47,6 +50,16 @@ void ggml_vk_init(void) { vk::DeviceCreateInfo device_create_info(vk::DeviceCreateFlags(), device_queue_create_info); vk_device = vk_physical_device.createDevice(device_create_info); + // Allocator + VmaAllocatorCreateInfo allocator_info = {}; + allocator_info.vulkanApiVersion = VK_API_VERSION; + allocator_info.physicalDevice = vk_physical_device; + allocator_info.device = vk_device; + allocator_info.instance = vk_instance; + + vmaCreateAllocator(&allocator_info, &vk_allocator); + + // Shaders std::vector matmul_shader_contents; if (std::ifstream shader_file{ "ggml-vulkan-matmul.spv", std::ios::binary | std::ios::ate }) { const size_t file_size = shader_file.tellg(); @@ -107,7 +120,7 @@ struct scoped_spin_lock { struct vk_buffer { vk::Buffer buffer; - vk::DeviceMemory memory; + vmaAllocation allocation; size_t size = 0; }; @@ -136,7 +149,7 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf) { //found the smallest buffer that fits our needs vk_buffer& b = g_vk_buffer_pool[best_i]; buf->buffer = b.buffer; - buf->memory = b.memory; + buf->allocation = b.allocation; buf->size = b.size; b.size = 0; return; @@ -145,8 +158,7 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf) { //no buffer that fits our needs, resize largest one to save memory vk_buffer& b = g_vk_buffer_pool[worst_i]; b.size = 0; - vk_device.freeMemory(b.memory); - vk_device.destroyBuffer(b.buffer); + vmaDestroyBuffer(vk_allocator, b.buffer, b.allocation); } buf = new vk_buffer; buf->size = size; @@ -160,44 +172,15 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf) { &vk_compute_queue_family_index }; - VmaAllocatorCreateInfo allocator_info = {}; - allocator_info.vulkanApiVersion = VK_API_VERSION; - allocator_info.physicalDevice = vk_physical_device; - allocator_info.device = vk_device; - allocator_info.instance = vk_instance; - - VmaAllocator allocator; - vmaCreateAllocator(&allocator_info, &allocator); - VmaAllocationCreateInfo allocation_info = {}; allocation_info.usage = VMA_MEMORY_USAGE_CPU_TO_GPU; - VmaAllocation buffer_allocation; - vmaCreateBuffer(allocator, + vmaCreateBuffer(vk_allocator, (VkBufferCreateInfo*)&buffer_create_info, &allocation_info, (VkBuffer*)&buf->buffer, - &buffer_allocation, + &buf->allocation, nullptr); - - vk::MemoryRequirements buffer_memory_requirements = vk_device.getBufferMemoryRequirements(buf->buffer); - vk::PhysicalDeviceMemoryProperties memory_properties = vk_physical_device.getMemoryProperties(); - - uint32_t memory_type_index = uint32_t(~0); - - for (uint32_t current_memory_type_index = 0; current_memory_type_index < memory_properties.memoryTypeCount; current_memory_type_index++) { - vk::MemoryType memory_type = memory_properties.memoryTypes[current_memory_type_index]; - if ((vk::MemoryPropertyFlagBits::eHostVisible & memory_type.propertyFlags) && - (vk::MemoryPropertyFlagBits::eHostCoherent & memory_type.propertyFlags)) - { - memory_type_index = current_memory_type_index; - break; - } - } - - vk::MemoryAllocateInfo buffer_memory_allocate_info(buffer_memory_requirements.size, memory_type_index); - - buf->memory = vk_device.allocateMemory(buffer_memory_allocate_info); } static void ggml_vk_pool_free(vk_buffer* buffer) { @@ -214,6 +197,307 @@ static void ggml_vk_pool_free(vk_buffer* buffer) { } fprintf(stderr, "WARNING: vk buffer pool full, increase MAX_VK_BUFFERS\n"); buffer->size = 0; - vk_device.freeMemory(buffer->memory); - vk_device.destroyBuffer(buffer->buffer); + vmaDestroyBuffer(vk_allocator, buffer->buffer, buffer->allocation); + delete buffer; +} + +static vk_int ggml_vk_h2d_tensor_2d(vk_command_queue queue, vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_event* ev) { + vk_int err; + const uint64_t ne0 = src->ne[0]; + const uint64_t ne1 = src->ne[1]; + const uint64_t nb0 = src->nb[0]; + const uint64_t nb1 = src->nb[1]; + const uint64_t nb2 = src->nb[2]; + const uint64_t nb3 = src->nb[3]; + const enum ggml_type type = src->type; + const size_t ts = ggml_type_size(type); + const size_t bs = ggml_blck_size(type); + + const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); + if (nb0 == ts && nb1 == ts*ne0/bs) { + void* dst_ptr = nullptr; + vmaMapMemory(vk_allocator, dst->allocation, &dst_ptr); + memcpy(dst_ptr + offset, x, ne1*nb1); + vmaUnmapMemory(vk_allocator, dst->allocation); + return err; + } + if (nb0 == ts) { + void* dst_ptr = nullptr; + // Might be better to use vkCmdCopyBuffer here + vmaMapMemory(vk_allocator, dst->allocation, &dst_ptr); + for (uint64_t i1 = 0; i1 < ne1; i1++) { + memcpy(dst_ptr + offset + ne0 * i1, x + ts*ne0/bs, ne0*nb0); + } + vmaUnmapMemory(vk_allocator, dst->allocation); + return err; + } + vmaMapMemory(vk_allocator, dst->allocation, &dst_ptr); + for (uint64_t i1 = 0; i1 < ne1; i1++) { + for (uint64_t i0 = 0; i0 < ne0; i0++) { + dst_ptr[offset + i1 * ts*ne0/bs + i0 * ts] = x[i1 * nb1 + i0 * nb0]; + } + } + vmaUnmapMemory(vk_allocator, dst->allocation); + return err; +} + +static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + const int64_t ne00 = src0->ne[0]; + const int64_t ne01 = src0->ne[1]; + const int64_t ne02 = src0->ne[2]; + const int64_t ne03 = src0->ne[3]; + + const int64_t ne10 = src1->ne[0]; + const int64_t ne11 = src1->ne[1]; + + const int nb2 = dst->nb[2]; + const int nb3 = dst->nb[3]; + + const float alpha = 1.0f; + const float beta = 0.0f; + const int x_ne = ne01 * ne00; + const int y_ne = ne11 * ne10; + const int d_ne = ne11 * ne01; + + vk_buffer d_X; + if (src0->backend == GGML_BACKEND_GPU) { // NOLINT + d_X = (vk_buffer) src0->data; + } else { + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X); + } + vk_buffer d_Y; + vk_buffer d_D; + ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y); + ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D); + + for (int64_t i03 = 0; i03 < ne03; i03++) { + for (int64_t i02 = 0; i02 < ne02; i02++) { + // copy data to device + if (src0->backend != GGML_BACKEND_GPU) { + ggml_vk_h2d_tensor_2d(queue, &d_X, 0, src0, i03, i02, NULL); + } + ggml_vk_h2d_tensor_2d(queue, &d_Y, 0, src1, i03, i02, NULL); + + vkFinish(queue); + + // compute + vk_event ev_sgemm; + vkblast::StatusCode status = vkblast::Gemm(vkblast::Layout::kColMajor, + vkblast::Transpose::kYes, vkblast::Transpose::kNo, + ne01, ne11, ne10, + alpha, + d_X, 0, ne00, + d_Y, 0, ne10, + beta, + d_D, 0, ne01, + &queue, &ev_sgemm); + + if (status != vkblast::StatusCode::kSuccess) { + GGML_ASSERT(false); + } + + // copy dst to host + void* src_ptr = nullptr; + float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + vmaMapMemory(vk_allocator, d_D->allocation, &src_ptr); + memcpy(d, src_ptr, sizeof(float) * d_ne); + vmaUnmapMemory(vk_allocator, d_D->allocation); + } + } + + if (src0->backend != GGML_BACKEND_GPU) { + ggml_vk_pool_free(d_X); + } + ggml_vk_pool_free(d_Y); + ggml_vk_pool_free(d_D); +} + +static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + const int64_t ne00 = src0->ne[0]; + const int64_t ne01 = src0->ne[1]; + const int64_t ne02 = src0->ne[2]; + const int64_t ne03 = src0->ne[3]; + + const int64_t ne10 = src1->ne[0]; + const int64_t ne11 = src1->ne[1]; + + const int nb2 = dst->nb[2]; + const int nb3 = dst->nb[3]; + const ggml_type type = src0->type; + const bool mul_mat_vec = ne11 == 1; + + const float alpha = 1.0f; + const float beta = 0.0f; + const int x_ne = ne01 * ne00; + const int y_ne = ne11 * ne10; + const int d_ne = ne11 * ne01; + const size_t q_sz = ggml_type_size(type) * x_ne / ggml_blck_size(type); + + size_t x_size; + size_t y_size; + size_t d_size; + size_t q_size; + vk_buffer d_X; + if (!mul_mat_vec) { + d_X = ggml_vk_pool_malloc(sizeof(float) * x_ne, &x_size); + } + vk_buffer d_Y = ggml_vk_pool_malloc(sizeof(float) * y_ne, &y_size); + vk_buffer d_D = ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_size); + vk_buffer d_Q; + if (src0->backend == GGML_BACKEND_CPU) { + d_Q = ggml_vk_pool_malloc(q_sz, &q_size); + } + + vk_kernel* to_fp32_vk = ggml_get_to_fp32_vk(type); + vk_kernel* dmmv = ggml_get_dequantize_mul_mat_vec_vk(type); + GGML_ASSERT(to_fp32_vk != nullptr); + + size_t ev_idx = 0; + std::vector events; + + for (int64_t i03 = 0; i03 < ne03; i03++) { + for (int64_t i02 = 0; i02 < ne02; i02++) { + // copy src0 to device if necessary + if (src0->backend == GGML_BACKEND_CPU) { + events.emplace_back(); + VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Q, 0, src0, i03, i02, events.data() + ev_idx++)); + } else if (src0->backend == GGML_BACKEND_GPU) { + d_Q = (vk_buffer) src0->data; + } else { + GGML_ASSERT(false); + } + if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel + // copy src1 to device + events.emplace_back(); + VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Y, 0, src1, i03, i02, events.data() + ev_idx++)); + + // compute + const size_t global = ne01 * VK_DMMV_BLOCK_SIZE; + const size_t local = VK_DMMV_BLOCK_SIZE; + const vk_int ncols = ne00; + events.emplace_back(); + VK_CHECK(vkSetKernelArg(*dmmv, 0, sizeof(vk_buffer), &d_Q)); + VK_CHECK(vkSetKernelArg(*dmmv, 1, sizeof(float) * local, NULL)); + VK_CHECK(vkSetKernelArg(*dmmv, 2, sizeof(vk_buffer), &d_Y)); + VK_CHECK(vkSetKernelArg(*dmmv, 3, sizeof(vk_buffer), &d_D)); + VK_CHECK(vkSetKernelArg(*dmmv, 4, sizeof(vk_int), &ncols)); + VK_CHECK(vkEnqueueNDRangeKernel(queue, *dmmv, 1, NULL, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++)); + } else { // general dequantization kernel + VKBlast matrix matrix multiplication + // convert src0 to fp32 on device + const size_t global = x_ne; + VK_CHECK(vkSetKernelArg(*to_fp32_vk, 0, sizeof(vk_buffer), &d_Q)); + VK_CHECK(vkSetKernelArg(*to_fp32_vk, 1, sizeof(vk_buffer), &d_X)); + VK_CHECK(vkEnqueueNDRangeKernel(queue, *to_fp32_vk, 1, NULL, &global, NULL, events.size(), !events.empty() ? events.data() : NULL, NULL)); + + // copy src1 to device + VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Y, 0, src1, i03, i02, NULL)); + + events.emplace_back(); + + // wait for conversion + VK_CHECK(vkFinish(queue)); + + // compute + vkblast::StatusCode status = vkblast::Gemm(vkblast::Layout::kColMajor, + vkblast::Transpose::kYes, vkblast::Transpose::kNo, + ne01, ne11, ne10, + alpha, + d_X, 0, ne00, + d_Y, 0, ne10, + beta, + d_D, 0, ne01, + &queue, events.data() + ev_idx++); + + if (status != vkblast::StatusCode::kSuccess) { + GGML_ASSERT(false); + } + } + + // copy dst to host + float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + VK_CHECK(vkEnqueueReadBuffer(queue, d_D, true, 0, sizeof(float) * d_ne, d, 1, &events[events.size() - 1], NULL)); + for (auto *event : events) { + vkReleaseEvent(event); + } + + ev_idx = 0; + events.vkear(); + } + } + + if (!mul_mat_vec) { + ggml_vk_pool_free(d_X, x_size); + } + ggml_vk_pool_free(d_Y, y_size); + ggml_vk_pool_free(d_D, d_size); + if (src0->backend == GGML_BACKEND_CPU) { + ggml_vk_pool_free(d_Q, q_size); + } +} + + +bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { + const int64_t ne10 = src1->ne[0]; + + const int64_t ne0 = dst->ne[0]; + const int64_t ne1 = dst->ne[1]; + + // TODO: find the optimal values for these + if ((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && + src1->type == GGML_TYPE_F32 && + dst->type == GGML_TYPE_F32 && + ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_GPU)) { + return true; + } + + return false; +} + +bool ggml_vk_mul_mat_use_f16(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * /* dst */) { + // If device doesn't support FP16 + if (!vk_fp16_support) { + return false; + } + + size_t src0_sz = ggml_nbytes(src0); + size_t src1_sz = ggml_nbytes(src1); + + // mul_mat_q: src0 is converted to fp32 on device + size_t mul_mat_q_transfer = src0_sz + src1_sz; + + // mul_mat_f16: src1 is converted to fp16 on cpu + size_t mul_mat_f16_transfer = src0_sz + sizeof(ggml_fp16_t) * ggml_nelements(src1); + + // choose the smaller one to transfer to the device + // TODO: this is not always the best choice due to the overhead of converting to fp16 + return mul_mat_f16_transfer < mul_mat_q_transfer; +} + +void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize) { + GGML_ASSERT(ggml_vk_can_mul_mat(src0, src1, dst)); + + if (src0->type == GGML_TYPE_F32) { + ggml_vk_mul_mat_f32(src0, src1, dst); + } + else if (src0->type == GGML_TYPE_F16) { + if (ggml_vk_mul_mat_use_f16(src0, src1, dst)) { + // ggml_vk_mul_mat_f16(src0, src1, dst, wdata, wsize); + } + else { + ggml_vk_mul_mat_q_f32(src0, src1, dst); + } + } + else if (ggml_is_quantized(src0->type)) { + ggml_vk_mul_mat_q_f32(src0, src1, dst); + } + else { + GGML_ASSERT(false); + } +} + +size_t ggml_vk_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { + if (ggml_vk_mul_mat_use_f16(src0, src1, dst)) { + return ggml_nelements(src1) * sizeof(ggml_fp16_t); + } + return 0; } From fc4f207cfb02ff9559046b98ec6b705b437a6b4b Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Mon, 12 Jun 2023 09:57:26 +0200 Subject: [PATCH 006/142] Matmul call --- ggml-vulkan.cpp | 361 ++++++++++++++++++++++++++---------------------- 1 file changed, 198 insertions(+), 163 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 6552f8e3a541b..3b0267f64c6b7 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -17,8 +17,9 @@ vk::Instance vk_instance; uint32_t vk_compute_queue_family_index; vk::PhysicalDevice vk_physical_device; vk::Device vk_device; -vmaAllocator vk_allocator; +VmaAllocator vk_allocator; vk::DescriptorSetLayout vk_pipeline_matmul_dsl; +vk::PipelineLayout vk_pipeline_matmul_layout; vk::Pipeline vk_pipeline_matmul; VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; vk::Buffer vk_buffer_qa, vk_buffer_a, vk_buffer_b, vk_buffer_c; @@ -86,7 +87,7 @@ void ggml_vk_init(void) { vk_pipeline_matmul_dsl = vk_device.createDescriptorSetLayout(descriptor_set_layout_create_info); vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), vk_pipeline_matmul_dsl); - vk::PipelineLayout pipeline_layout = vk_device.createPipelineLayout(pipeline_layout_create_info); + vk_pipeline_matmul_layout = vk_device.createPipelineLayout(pipeline_layout_create_info); vk::PipelineCache pipeline_cache = vk_device.createPipelineCache(vk::PipelineCacheCreateInfo()); vk::PipelineShaderStageCreateInfo pipeline_shader_create_info( @@ -95,9 +96,9 @@ void ggml_vk_init(void) { shader_module, "main"); vk::ComputePipelineCreateInfo compute_pipeline_create_info( - vk::PipelineCreateFlags(), // Flags - pipeline_shader_create_info, // Shader Create Info struct - pipeline_layout); // Pipeline Layout + vk::PipelineCreateFlags(), + pipeline_shader_create_info, + vk_pipeline_matmul_layout); vk_pipeline_matmul = vk_device.createComputePipeline(pipeline_cache, compute_pipeline_create_info).value; } @@ -120,7 +121,7 @@ struct scoped_spin_lock { struct vk_buffer { vk::Buffer buffer; - vmaAllocation allocation; + VmaAllocation allocation; size_t size = 0; }; @@ -160,7 +161,6 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf) { b.size = 0; vmaDestroyBuffer(vk_allocator, b.buffer, b.allocation); } - buf = new vk_buffer; buf->size = size; vk::BufferCreateInfo buffer_create_info{ @@ -190,7 +190,7 @@ static void ggml_vk_pool_free(vk_buffer* buffer) { vk_buffer& b = g_vk_buffer_pool[i]; if (b.size == 0) { b.buffer = buffer->buffer; - b.memory = buffer->memory; + b.allocation = buffer->allocation; b.size = buffer->size; return; } @@ -198,11 +198,9 @@ static void ggml_vk_pool_free(vk_buffer* buffer) { fprintf(stderr, "WARNING: vk buffer pool full, increase MAX_VK_BUFFERS\n"); buffer->size = 0; vmaDestroyBuffer(vk_allocator, buffer->buffer, buffer->allocation); - delete buffer; } -static vk_int ggml_vk_h2d_tensor_2d(vk_command_queue queue, vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_event* ev) { - vk_int err; +static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2) { const uint64_t ne0 = src->ne[0]; const uint64_t ne1 = src->ne[1]; const uint64_t nb0 = src->nb[0]; @@ -219,7 +217,7 @@ static vk_int ggml_vk_h2d_tensor_2d(vk_command_queue queue, vk_buffer* dst, size vmaMapMemory(vk_allocator, dst->allocation, &dst_ptr); memcpy(dst_ptr + offset, x, ne1*nb1); vmaUnmapMemory(vk_allocator, dst->allocation); - return err; + return; } if (nb0 == ts) { void* dst_ptr = nullptr; @@ -229,16 +227,18 @@ static vk_int ggml_vk_h2d_tensor_2d(vk_command_queue queue, vk_buffer* dst, size memcpy(dst_ptr + offset + ne0 * i1, x + ts*ne0/bs, ne0*nb0); } vmaUnmapMemory(vk_allocator, dst->allocation); - return err; + return; } - vmaMapMemory(vk_allocator, dst->allocation, &dst_ptr); + uint8_t* dst_ptr = nullptr; + uint8_t* xc = (uint8_t*)x; + vmaMapMemory(vk_allocator, dst->allocation, (void**) &dst_ptr); for (uint64_t i1 = 0; i1 < ne1; i1++) { for (uint64_t i0 = 0; i0 < ne0; i0++) { - dst_ptr[offset + i1 * ts*ne0/bs + i0 * ts] = x[i1 * nb1 + i0 * nb0]; + dst_ptr[offset + i1 * ts*ne0/bs + i0 * ts] = xc[i1 * nb1 + i0 * nb0]; } } vmaUnmapMemory(vk_allocator, dst->allocation); - return err; + return; } static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { @@ -260,13 +260,13 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const int d_ne = ne11 * ne01; vk_buffer d_X; - if (src0->backend == GGML_BACKEND_GPU) { // NOLINT - d_X = (vk_buffer) src0->data; + vk_buffer d_Y; + vk_buffer d_D; + if (src0->backend == GGML_BACKEND_GPU) { + d_X = *(vk_buffer*) src0->data; } else { ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X); } - vk_buffer d_Y; - vk_buffer d_D; ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y); ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D); @@ -274,165 +274,200 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr for (int64_t i02 = 0; i02 < ne02; i02++) { // copy data to device if (src0->backend != GGML_BACKEND_GPU) { - ggml_vk_h2d_tensor_2d(queue, &d_X, 0, src0, i03, i02, NULL); + ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02); } - ggml_vk_h2d_tensor_2d(queue, &d_Y, 0, src1, i03, i02, NULL); - - vkFinish(queue); + ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02); // compute - vk_event ev_sgemm; - vkblast::StatusCode status = vkblast::Gemm(vkblast::Layout::kColMajor, - vkblast::Transpose::kYes, vkblast::Transpose::kNo, - ne01, ne11, ne10, - alpha, - d_X, 0, ne00, - d_Y, 0, ne10, - beta, - d_D, 0, ne01, - &queue, &ev_sgemm); - - if (status != vkblast::StatusCode::kSuccess) { - GGML_ASSERT(false); - } + vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, 3); + vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); + vk::DescriptorPool descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); + + vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &vk_pipeline_matmul_dsl); + const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); + vk::DescriptorSet descriptor_set = descriptor_sets.front(); + vk::DescriptorBufferInfo d_X_buffer_info(d_X.buffer, 0, sizeof(float) * x_ne); + vk::DescriptorBufferInfo d_Y_buffer_info(d_Y.buffer, 0, sizeof(float) * y_ne); + vk::DescriptorBufferInfo d_D_buffer_info(d_D.buffer, 0, sizeof(float) * d_ne); + + const std::vector write_descriptor_sets = { + {descriptor_set, 0, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_X_buffer_info}, + {descriptor_set, 1, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_Y_buffer_info}, + {descriptor_set, 2, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_D_buffer_info}, + }; + vk_device.updateDescriptorSets(write_descriptor_sets, {}); + + vk::CommandPoolCreateInfo command_pool_create_info(vk::CommandPoolCreateFlags(), vk_compute_queue_family_index); + vk::CommandPool command_pool = vk_device.createCommandPool(command_pool_create_info); + + vk::CommandBufferAllocateInfo command_buffer_alloc_info( + command_pool, + vk::CommandBufferLevel::ePrimary, + 1); + const std::vector cmd_buffers = vk_device.allocateCommandBuffers(command_buffer_alloc_info); + vk::CommandBuffer cmd_buffer = cmd_buffers.front(); + + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); + cmd_buffer.begin(cmd_buffer_begin_info); + cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, vk_pipeline_matmul); + cmd_buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, + vk_pipeline_matmul_layout, + 0, + { descriptor_set }, + {}); + cmd_buffer.dispatch(d_ne, 1, 1); + cmd_buffer.end(); + + vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + + vk::SubmitInfo submit_info(0, + nullptr, + nullptr, + 1, + &cmd_buffer); + queue.submit({ submit_info }, fence); + vk_device.waitForFences({ fence }, + true, + uint64_t(-1)); // copy dst to host void* src_ptr = nullptr; float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - vmaMapMemory(vk_allocator, d_D->allocation, &src_ptr); + vmaMapMemory(vk_allocator, d_D.allocation, &src_ptr); memcpy(d, src_ptr, sizeof(float) * d_ne); - vmaUnmapMemory(vk_allocator, d_D->allocation); + vmaUnmapMemory(vk_allocator, d_D.allocation); } } if (src0->backend != GGML_BACKEND_GPU) { - ggml_vk_pool_free(d_X); + ggml_vk_pool_free(&d_X); } - ggml_vk_pool_free(d_Y); - ggml_vk_pool_free(d_D); + ggml_vk_pool_free(&d_Y); + ggml_vk_pool_free(&d_D); } static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - const int64_t ne00 = src0->ne[0]; - const int64_t ne01 = src0->ne[1]; - const int64_t ne02 = src0->ne[2]; - const int64_t ne03 = src0->ne[3]; - - const int64_t ne10 = src1->ne[0]; - const int64_t ne11 = src1->ne[1]; - - const int nb2 = dst->nb[2]; - const int nb3 = dst->nb[3]; - const ggml_type type = src0->type; - const bool mul_mat_vec = ne11 == 1; - - const float alpha = 1.0f; - const float beta = 0.0f; - const int x_ne = ne01 * ne00; - const int y_ne = ne11 * ne10; - const int d_ne = ne11 * ne01; - const size_t q_sz = ggml_type_size(type) * x_ne / ggml_blck_size(type); - - size_t x_size; - size_t y_size; - size_t d_size; - size_t q_size; - vk_buffer d_X; - if (!mul_mat_vec) { - d_X = ggml_vk_pool_malloc(sizeof(float) * x_ne, &x_size); - } - vk_buffer d_Y = ggml_vk_pool_malloc(sizeof(float) * y_ne, &y_size); - vk_buffer d_D = ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_size); - vk_buffer d_Q; - if (src0->backend == GGML_BACKEND_CPU) { - d_Q = ggml_vk_pool_malloc(q_sz, &q_size); - } - - vk_kernel* to_fp32_vk = ggml_get_to_fp32_vk(type); - vk_kernel* dmmv = ggml_get_dequantize_mul_mat_vec_vk(type); - GGML_ASSERT(to_fp32_vk != nullptr); - - size_t ev_idx = 0; - std::vector events; - - for (int64_t i03 = 0; i03 < ne03; i03++) { - for (int64_t i02 = 0; i02 < ne02; i02++) { - // copy src0 to device if necessary - if (src0->backend == GGML_BACKEND_CPU) { - events.emplace_back(); - VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Q, 0, src0, i03, i02, events.data() + ev_idx++)); - } else if (src0->backend == GGML_BACKEND_GPU) { - d_Q = (vk_buffer) src0->data; - } else { - GGML_ASSERT(false); - } - if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel - // copy src1 to device - events.emplace_back(); - VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Y, 0, src1, i03, i02, events.data() + ev_idx++)); - - // compute - const size_t global = ne01 * VK_DMMV_BLOCK_SIZE; - const size_t local = VK_DMMV_BLOCK_SIZE; - const vk_int ncols = ne00; - events.emplace_back(); - VK_CHECK(vkSetKernelArg(*dmmv, 0, sizeof(vk_buffer), &d_Q)); - VK_CHECK(vkSetKernelArg(*dmmv, 1, sizeof(float) * local, NULL)); - VK_CHECK(vkSetKernelArg(*dmmv, 2, sizeof(vk_buffer), &d_Y)); - VK_CHECK(vkSetKernelArg(*dmmv, 3, sizeof(vk_buffer), &d_D)); - VK_CHECK(vkSetKernelArg(*dmmv, 4, sizeof(vk_int), &ncols)); - VK_CHECK(vkEnqueueNDRangeKernel(queue, *dmmv, 1, NULL, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++)); - } else { // general dequantization kernel + VKBlast matrix matrix multiplication - // convert src0 to fp32 on device - const size_t global = x_ne; - VK_CHECK(vkSetKernelArg(*to_fp32_vk, 0, sizeof(vk_buffer), &d_Q)); - VK_CHECK(vkSetKernelArg(*to_fp32_vk, 1, sizeof(vk_buffer), &d_X)); - VK_CHECK(vkEnqueueNDRangeKernel(queue, *to_fp32_vk, 1, NULL, &global, NULL, events.size(), !events.empty() ? events.data() : NULL, NULL)); - - // copy src1 to device - VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Y, 0, src1, i03, i02, NULL)); - - events.emplace_back(); - - // wait for conversion - VK_CHECK(vkFinish(queue)); - - // compute - vkblast::StatusCode status = vkblast::Gemm(vkblast::Layout::kColMajor, - vkblast::Transpose::kYes, vkblast::Transpose::kNo, - ne01, ne11, ne10, - alpha, - d_X, 0, ne00, - d_Y, 0, ne10, - beta, - d_D, 0, ne01, - &queue, events.data() + ev_idx++); - - if (status != vkblast::StatusCode::kSuccess) { - GGML_ASSERT(false); - } - } - - // copy dst to host - float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - VK_CHECK(vkEnqueueReadBuffer(queue, d_D, true, 0, sizeof(float) * d_ne, d, 1, &events[events.size() - 1], NULL)); - for (auto *event : events) { - vkReleaseEvent(event); - } - - ev_idx = 0; - events.vkear(); - } - } - - if (!mul_mat_vec) { - ggml_vk_pool_free(d_X, x_size); - } - ggml_vk_pool_free(d_Y, y_size); - ggml_vk_pool_free(d_D, d_size); - if (src0->backend == GGML_BACKEND_CPU) { - ggml_vk_pool_free(d_Q, q_size); - } +// const int64_t ne00 = src0->ne[0]; +// const int64_t ne01 = src0->ne[1]; +// const int64_t ne02 = src0->ne[2]; +// const int64_t ne03 = src0->ne[3]; +// +// const int64_t ne10 = src1->ne[0]; +// const int64_t ne11 = src1->ne[1]; +// +// const int nb2 = dst->nb[2]; +// const int nb3 = dst->nb[3]; +// const ggml_type type = src0->type; +// const bool mul_mat_vec = ne11 == 1; +// +// const float alpha = 1.0f; +// const float beta = 0.0f; +// const int x_ne = ne01 * ne00; +// const int y_ne = ne11 * ne10; +// const int d_ne = ne11 * ne01; +// const size_t q_sz = ggml_type_size(type) * x_ne / ggml_blck_size(type); +// +// size_t x_size; +// size_t y_size; +// size_t d_size; +// size_t q_size; +// vk_buffer d_X; +// if (!mul_mat_vec) { +// d_X = ggml_vk_pool_malloc(sizeof(float) * x_ne, &x_size); +// } +// vk_buffer d_Y = ggml_vk_pool_malloc(sizeof(float) * y_ne, &y_size); +// vk_buffer d_D = ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_size); +// vk_buffer d_Q; +// if (src0->backend == GGML_BACKEND_CPU) { +// d_Q = ggml_vk_pool_malloc(q_sz, &q_size); +// } +// +// vk_kernel* to_fp32_vk = ggml_get_to_fp32_vk(type); +// vk_kernel* dmmv = ggml_get_dequantize_mul_mat_vec_vk(type); +// GGML_ASSERT(to_fp32_vk != nullptr); +// +// size_t ev_idx = 0; +// std::vector events; +// +// for (int64_t i03 = 0; i03 < ne03; i03++) { +// for (int64_t i02 = 0; i02 < ne02; i02++) { +// // copy src0 to device if necessary +// if (src0->backend == GGML_BACKEND_CPU) { +// events.emplace_back(); +// VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Q, 0, src0, i03, i02, events.data() + ev_idx++)); +// } else if (src0->backend == GGML_BACKEND_GPU) { +// d_Q = (vk_buffer) src0->data; +// } else { +// GGML_ASSERT(false); +// } +// if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel +// // copy src1 to device +// events.emplace_back(); +// VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Y, 0, src1, i03, i02, events.data() + ev_idx++)); +// +// // compute +// const size_t global = ne01 * VK_DMMV_BLOCK_SIZE; +// const size_t local = VK_DMMV_BLOCK_SIZE; +// const vk_int ncols = ne00; +// events.emplace_back(); +// VK_CHECK(vkSetKernelArg(*dmmv, 0, sizeof(vk_buffer), &d_Q)); +// VK_CHECK(vkSetKernelArg(*dmmv, 1, sizeof(float) * local, NULL)); +// VK_CHECK(vkSetKernelArg(*dmmv, 2, sizeof(vk_buffer), &d_Y)); +// VK_CHECK(vkSetKernelArg(*dmmv, 3, sizeof(vk_buffer), &d_D)); +// VK_CHECK(vkSetKernelArg(*dmmv, 4, sizeof(vk_int), &ncols)); +// VK_CHECK(vkEnqueueNDRangeKernel(queue, *dmmv, 1, NULL, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++)); +// } else { // general dequantization kernel + VKBlast matrix matrix multiplication +// // convert src0 to fp32 on device +// const size_t global = x_ne; +// VK_CHECK(vkSetKernelArg(*to_fp32_vk, 0, sizeof(vk_buffer), &d_Q)); +// VK_CHECK(vkSetKernelArg(*to_fp32_vk, 1, sizeof(vk_buffer), &d_X)); +// VK_CHECK(vkEnqueueNDRangeKernel(queue, *to_fp32_vk, 1, NULL, &global, NULL, events.size(), !events.empty() ? events.data() : NULL, NULL)); +// +// // copy src1 to device +// VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Y, 0, src1, i03, i02, NULL)); +// +// events.emplace_back(); +// +// // wait for conversion +// VK_CHECK(vkFinish(queue)); +// +// // compute +// vkblast::StatusCode status = vkblast::Gemm(vkblast::Layout::kColMajor, +// vkblast::Transpose::kYes, vkblast::Transpose::kNo, +// ne01, ne11, ne10, +// alpha, +// d_X, 0, ne00, +// d_Y, 0, ne10, +// beta, +// d_D, 0, ne01, +// &queue, events.data() + ev_idx++); +// +// if (status != vkblast::StatusCode::kSuccess) { +// GGML_ASSERT(false); +// } +// } +// +// // copy dst to host +// float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); +// VK_CHECK(vkEnqueueReadBuffer(queue, d_D, true, 0, sizeof(float) * d_ne, d, 1, &events[events.size() - 1], NULL)); +// for (auto *event : events) { +// vkReleaseEvent(event); +// } +// +// ev_idx = 0; +// events.vkear(); +// } +// } +// +// if (!mul_mat_vec) { +// ggml_vk_pool_free(d_X, x_size); +// } +// ggml_vk_pool_free(d_Y, y_size); +// ggml_vk_pool_free(d_D, d_size); +// if (src0->backend == GGML_BACKEND_CPU) { +// ggml_vk_pool_free(d_Q, q_size); +// } } From 2471728a9dbee3bb9f40e1ef184f22a360249f87 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 13 Jun 2023 12:00:06 +0200 Subject: [PATCH 007/142] Add aligned malloc and free for VMA --- ggml-vulkan.cpp | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 3b0267f64c6b7..c71f1056d2107 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -2,6 +2,27 @@ #include #define VMA_IMPLEMENTATION +#if UINTPTR_MAX == 0xFFFFFFFF + #define VMA_SYSTEM_MEM_ALIGN 4 +#else + #define VMA_SYSTEM_MEM_ALIGN 16 +#endif +#if defined(_MSC_VER) || defined(__MINGW32__) +#define VMA_SYSTEM_ALIGNED_MALLOC(size, alignment) _aligned_malloc(size, alignment) +#define VMA_SYSTEM_ALIGNED_FREE(ptr) _aligned_free(ptr) +#else +inline static void* ggml_aligned_malloc(size_t size, size_t alignment) { + void* aligned_memory = NULL; + int result = posix_memalign(&aligned_memory, alignment, size); + if (result != 0) { + // Handle allocation failure + return NULL; + } + return aligned_memory; +} +#define VMA_SYSTEM_ALIGNED_MALLOC(size, alignment) ggml_aligned_malloc(size, alignment) +#define VMA_SYSTEM_ALIGNED_FREE(ptr) free(ptr) +#endif #include "external/vk_mem_alloc.h" #include From 8ce84c27474f8b3061146c0f1d4cad8b92d03830 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 21 Jun 2023 00:26:48 +0200 Subject: [PATCH 008/142] Continue implementation --- ggml-opencl.cpp | 2 +- ggml-vulkan.cpp | 190 ++++++++++++++++++++++++++++++++++-------------- ggml-vulkan.h | 26 ++++--- ggml.c | 14 ++++ 4 files changed, 163 insertions(+), 69 deletions(-) diff --git a/ggml-opencl.cpp b/ggml-opencl.cpp index b2fc16bd1d9cd..8573ac2d609e8 100644 --- a/ggml-opencl.cpp +++ b/ggml-opencl.cpp @@ -1489,7 +1489,7 @@ static void ggml_cl_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr if (src0->backend == GGML_BACKEND_GPU) { // NOLINT d_X = (cl_mem) src0->data; } else { - d_X = ggml_cl_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &x_size); + d_X = ggml_cl_pool_malloc(ggml_type_size(src0->type) * x_ne, &x_size); } cl_mem d_Y = ggml_cl_pool_malloc(sizeof(float) * y_ne, &y_size); cl_mem d_D = ggml_cl_pool_malloc(sizeof(float) * d_ne, &d_size); diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index c71f1056d2107..34b2617e1ee13 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -13,7 +13,7 @@ #else inline static void* ggml_aligned_malloc(size_t size, size_t alignment) { void* aligned_memory = NULL; - int result = posix_memalign(&aligned_memory, alignment, size); + int result = posix_memalign(&aligned_memory, alignment >= 8 ? alignment : 8, size); if (result != 0) { // Handle allocation failure return NULL; @@ -143,6 +143,7 @@ struct scoped_spin_lock { struct vk_buffer { vk::Buffer buffer; VmaAllocation allocation; + VmaAllocationInfo info; size_t size = 0; }; @@ -170,9 +171,7 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf) { if(best_i != -1) { //found the smallest buffer that fits our needs vk_buffer& b = g_vk_buffer_pool[best_i]; - buf->buffer = b.buffer; - buf->allocation = b.allocation; - buf->size = b.size; + *buf = b; b.size = 0; return; } @@ -194,14 +193,22 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf) { }; VmaAllocationCreateInfo allocation_info = {}; - allocation_info.usage = VMA_MEMORY_USAGE_CPU_TO_GPU; + allocation_info.usage = VMA_MEMORY_USAGE_AUTO; + allocation_info.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT; vmaCreateBuffer(vk_allocator, (VkBufferCreateInfo*)&buffer_create_info, &allocation_info, (VkBuffer*)&buf->buffer, &buf->allocation, - nullptr); + &buf->info); + + VkMemoryPropertyFlags mem_prop_flags; + vmaGetAllocationMemoryProperties(vk_allocator, buf->allocation, &mem_prop_flags); + + if(!(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT)) { + printf("Nope\n"); + } } static void ggml_vk_pool_free(vk_buffer* buffer) { @@ -210,9 +217,7 @@ static void ggml_vk_pool_free(vk_buffer* buffer) { for (int i = 0; i < MAX_VK_BUFFERS; ++i) { vk_buffer& b = g_vk_buffer_pool[i]; if (b.size == 0) { - b.buffer = buffer->buffer; - b.allocation = buffer->allocation; - b.size = buffer->size; + b = *buffer; return; } } @@ -221,7 +226,87 @@ static void ggml_vk_pool_free(vk_buffer* buffer) { vmaDestroyBuffer(vk_allocator, buffer->buffer, buffer->allocation); } -static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2) { +static void ggml_vk_buffer_write(VkCommandBuffer cmd_buf, vk_buffer* dst, size_t offset, const void * src, size_t size) { + VkMemoryPropertyFlags mem_prop_flags; + vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); + + if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { + memcpy(dst->info.pMappedData, src, size); + } else { + // Allocation ended up in a non-mappable memory - need to transfer. + VkBufferCreateInfo staging_buf_create_info = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; + staging_buf_create_info.size = size; + staging_buf_create_info.usage = VK_BUFFER_USAGE_TRANSFER_SRC_BIT; + + VmaAllocationCreateInfo staging_alloc_create_info = {}; + staging_alloc_create_info.usage = VMA_MEMORY_USAGE_AUTO; + staging_alloc_create_info.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | + VMA_ALLOCATION_CREATE_MAPPED_BIT; + + VkBuffer staging_buf; + VmaAllocation staging_alloc; + VmaAllocationInfo staging_alloc_info; + vmaCreateBuffer(vk_allocator, + &staging_buf_create_info, + &staging_alloc_create_info, + &staging_buf, + &staging_alloc, + &staging_alloc_info); + + // [Executed in runtime]: + memcpy(staging_alloc_info.pMappedData + offset, src, size); + vmaFlushAllocation(vk_allocator, staging_alloc, 0, VK_WHOLE_SIZE); + //vkCmdPipelineBarrier: VK_ACCESS_HOST_WRITE_BIT --> VK_ACCESS_TRANSFER_READ_BIT + VkBufferCopy buf_copy = { + 0, // srcOffset + 0, // dstOffset, + size}; // size + vkCmdCopyBuffer(cmd_buf, staging_buf, dst->buffer, 1, &buf_copy); + vmaDestroyBuffer(vk_allocator, staging_buf, staging_alloc); + } +} + +static void ggml_vk_buffer_read(VkCommandBuffer cmd_buf, vk_buffer* src, size_t offset, void * dst, size_t size) { + VkMemoryPropertyFlags mem_prop_flags; + vmaGetAllocationMemoryProperties(vk_allocator, src->allocation, &mem_prop_flags); + + if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { + memcpy(dst, src->info.pMappedData, size); + } else { + // Allocation ended up in a non-mappable memory - need to transfer. + VkBufferCreateInfo staging_buf_create_info = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; + staging_buf_create_info.size = size; + staging_buf_create_info.usage = VK_BUFFER_USAGE_TRANSFER_DST_BIT; + + VmaAllocationCreateInfo staging_alloc_create_info = {}; + staging_alloc_create_info.usage = VMA_MEMORY_USAGE_AUTO; + staging_alloc_create_info.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | + VMA_ALLOCATION_CREATE_MAPPED_BIT; + + VkBuffer staging_buf; + VmaAllocation staging_alloc; + VmaAllocationInfo staging_alloc_info; + vmaCreateBuffer(vk_allocator, + &staging_buf_create_info, + &staging_alloc_create_info, + &staging_buf, + &staging_alloc, + &staging_alloc_info); + + //vkCmdPipelineBarrier: VK_ACCESS_HOST_WRITE_BIT --> VK_ACCESS_TRANSFER_READ_BIT + VkBufferCopy buf_copy = { + offset, // srcOffset + 0, // dstOffset, + size}; // size + vkCmdCopyBuffer(cmd_buf, src->buffer, staging_buf, 1, &buf_copy); + vmaInvalidateAllocation(vk_allocator, staging_alloc, 0, VK_WHOLE_SIZE); + // [Executed in runtime]: + memcpy(dst, staging_alloc_info.pMappedData, size); + vmaDestroyBuffer(vk_allocator, staging_buf, staging_alloc); + } +} + +static void ggml_vk_h2d_tensor_2d(VkCommandBuffer cmd_buf, vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2) { const uint64_t ne0 = src->ne[0]; const uint64_t ne1 = src->ne[1]; const uint64_t nb0 = src->nb[0]; @@ -234,31 +319,23 @@ static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct gg const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); if (nb0 == ts && nb1 == ts*ne0/bs) { - void* dst_ptr = nullptr; - vmaMapMemory(vk_allocator, dst->allocation, &dst_ptr); - memcpy(dst_ptr + offset, x, ne1*nb1); - vmaUnmapMemory(vk_allocator, dst->allocation); + ggml_vk_buffer_write(cmd_buf, dst, offset, x, ne1*nb1); return; } if (nb0 == ts) { - void* dst_ptr = nullptr; // Might be better to use vkCmdCopyBuffer here - vmaMapMemory(vk_allocator, dst->allocation, &dst_ptr); for (uint64_t i1 = 0; i1 < ne1; i1++) { - memcpy(dst_ptr + offset + ne0 * i1, x + ts*ne0/bs, ne0*nb0); + ggml_vk_buffer_write(cmd_buf, dst, offset + ne0 * i1, x + ts*ne0/bs, ne0*nb0); } - vmaUnmapMemory(vk_allocator, dst->allocation); return; } - uint8_t* dst_ptr = nullptr; + uint8_t* dst_ptr = (uint8_t*) dst->info.pMappedData; uint8_t* xc = (uint8_t*)x; - vmaMapMemory(vk_allocator, dst->allocation, (void**) &dst_ptr); for (uint64_t i1 = 0; i1 < ne1; i1++) { for (uint64_t i0 = 0; i0 < ne0; i0++) { dst_ptr[offset + i1 * ts*ne0/bs + i0 * ts] = xc[i1 * nb1 + i0 * nb0]; } } - vmaUnmapMemory(vk_allocator, dst->allocation); return; } @@ -286,48 +363,50 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr if (src0->backend == GGML_BACKEND_GPU) { d_X = *(vk_buffer*) src0->data; } else { - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X); + ggml_vk_pool_malloc(ggml_type_size(src0->type) * x_ne, &d_X); } ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y); ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D); + vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, 3); + vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); + vk::DescriptorPool descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); + + vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &vk_pipeline_matmul_dsl); + const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); + vk::DescriptorSet descriptor_set = descriptor_sets.front(); + vk::DescriptorBufferInfo d_X_buffer_info(d_X.buffer, 0, sizeof(float) * x_ne); + vk::DescriptorBufferInfo d_Y_buffer_info(d_Y.buffer, 0, sizeof(float) * y_ne); + vk::DescriptorBufferInfo d_D_buffer_info(d_D.buffer, 0, sizeof(float) * d_ne); + + const std::vector write_descriptor_sets = { + {descriptor_set, 0, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_X_buffer_info}, + {descriptor_set, 1, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_Y_buffer_info}, + {descriptor_set, 2, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_D_buffer_info}, + }; + vk_device.updateDescriptorSets(write_descriptor_sets, {}); + + vk::CommandPoolCreateInfo command_pool_create_info(vk::CommandPoolCreateFlags(), vk_compute_queue_family_index); + vk::CommandPool command_pool = vk_device.createCommandPool(command_pool_create_info); + + vk::CommandBufferAllocateInfo command_buffer_alloc_info( + command_pool, + vk::CommandBufferLevel::ePrimary, + 1); + const std::vector cmd_buffers = vk_device.allocateCommandBuffers(command_buffer_alloc_info); + vk::CommandBuffer cmd_buffer = cmd_buffers.front(); + for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { // copy data to device if (src0->backend != GGML_BACKEND_GPU) { - ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02); + ggml_vk_h2d_tensor_2d(cmd_buffer, &d_X, 0, src0, i03, i02); } - ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02); + ggml_vk_h2d_tensor_2d(cmd_buffer, &d_Y, 0, src1, i03, i02); - // compute - vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, 3); - vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); - vk::DescriptorPool descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); - - vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &vk_pipeline_matmul_dsl); - const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); - vk::DescriptorSet descriptor_set = descriptor_sets.front(); - vk::DescriptorBufferInfo d_X_buffer_info(d_X.buffer, 0, sizeof(float) * x_ne); - vk::DescriptorBufferInfo d_Y_buffer_info(d_Y.buffer, 0, sizeof(float) * y_ne); - vk::DescriptorBufferInfo d_D_buffer_info(d_D.buffer, 0, sizeof(float) * d_ne); - - const std::vector write_descriptor_sets = { - {descriptor_set, 0, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_X_buffer_info}, - {descriptor_set, 1, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_Y_buffer_info}, - {descriptor_set, 2, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_D_buffer_info}, - }; - vk_device.updateDescriptorSets(write_descriptor_sets, {}); - - vk::CommandPoolCreateInfo command_pool_create_info(vk::CommandPoolCreateFlags(), vk_compute_queue_family_index); - vk::CommandPool command_pool = vk_device.createCommandPool(command_pool_create_info); - - vk::CommandBufferAllocateInfo command_buffer_alloc_info( - command_pool, - vk::CommandBufferLevel::ePrimary, - 1); - const std::vector cmd_buffers = vk_device.allocateCommandBuffers(command_buffer_alloc_info); - vk::CommandBuffer cmd_buffer = cmd_buffers.front(); + printf("Beginning Vulkan kernel call\n"); + // compute vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, vk_pipeline_matmul); @@ -352,12 +431,11 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr true, uint64_t(-1)); + printf("Vulkan kernel call done\n"); + // copy dst to host - void* src_ptr = nullptr; float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - vmaMapMemory(vk_allocator, d_D.allocation, &src_ptr); - memcpy(d, src_ptr, sizeof(float) * d_ne); - vmaUnmapMemory(vk_allocator, d_D.allocation); + ggml_vk_buffer_read(cmd_buffer, &d_D, 0, d, sizeof(float) * d_ne); } } diff --git a/ggml-vulkan.h b/ggml-vulkan.h index 8dfda90a233bb..141b6c2f218d7 100644 --- a/ggml-vulkan.h +++ b/ggml-vulkan.h @@ -1,23 +1,25 @@ #pragma once +#include "ggml.h" + #ifdef __cplusplus extern "C" { #endif void ggml_vk_init(void); -// enum ggml_blas_order { -// GGML_BLAS_ORDER_ROW_MAJOR = 101, -// GGML_BLAS_ORDER_COLUMN_MAJOR = 102, -// }; -// -// enum ggml_blas_op { -// GGML_BLAS_OP_N = 111, -// GGML_BLAS_OP_T = 112, -// GGML_BLAS_OP_C = 113, -// }; -// -// void ggml_cl_sgemm_wrapper(const enum ggml_blas_order order, const enum ggml_blas_op trans_a, const enum ggml_blas_op trans_b, const int m, const int n, const int k, const float alpha, const void *host_a, const int lda, const float *host_b, const int ldb, const float beta, float *host_c, const int ldc, const int btype); +void ggml_vk_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); +bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); +size_t ggml_vk_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); +void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize); + +void * ggml_vk_host_malloc(size_t size); +void ggml_vk_host_free(void * ptr); + +void ggml_vk_free_data(const struct ggml_tensor* tensor); + +void ggml_vk_transform_tensor(struct ggml_tensor * tensor); +void ggml_vk_load_data(const char * fname, struct ggml_tensor * tensor, size_t offset); #ifdef __cplusplus } diff --git a/ggml.c b/ggml.c index 6071eabd2d251..0d7bf38fa16ef 100644 --- a/ggml.c +++ b/ggml.c @@ -10660,6 +10660,13 @@ static void ggml_compute_forward_mul_mat_f32( } return; } +#elif defined(GGML_USE_VULKAN) + if (ggml_vk_can_mul_mat(src0, src1, dst)) { + if (params->ith == 0 && params->type == GGML_TASK_COMPUTE) { + ggml_vk_mul_mat(src0, src1, dst, params->wdata, params->wsize); + } + return; + } #endif #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) @@ -10825,6 +10832,13 @@ static void ggml_compute_forward_mul_mat_f16_f32( } return; } +#elif defined(GGML_USE_VULKAN) + if (ggml_vk_can_mul_mat(src0, src1, dst)) { + if (params->ith == 0 && params->type == GGML_TASK_COMPUTE) { + ggml_vk_mul_mat(src0, src1, dst, params->wdata, params->wsize); + } + return; + } #endif #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) From a42376e7ecd9b2b9b5a787c09e5b048b86371c36 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Thu, 22 Jun 2023 09:46:00 +0200 Subject: [PATCH 009/142] First matmul success --- ggml-vulkan-matmul.comp | 33 ++++++++++++ ggml-vulkan-matmul.glsl | 112 -------------------------------------- ggml-vulkan.cpp | 115 ++++++++++++++++++++++++++++------------ 3 files changed, 115 insertions(+), 145 deletions(-) create mode 100644 ggml-vulkan-matmul.comp delete mode 100644 ggml-vulkan-matmul.glsl diff --git a/ggml-vulkan-matmul.comp b/ggml-vulkan-matmul.comp new file mode 100644 index 0000000000000..4a34e950e9a9d --- /dev/null +++ b/ggml-vulkan-matmul.comp @@ -0,0 +1,33 @@ +#version 450 + +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { float A_data[]; }; +layout (binding = 1) readonly buffer B { float B_data[]; }; +layout (binding = 2) writeonly buffer D { float D_data[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int K; + int stride_a; + int stride_b; + int stride_d; +} p; + +void main() +{ + int i01 = int(gl_GlobalInvocationID.x); + int i11 = int(gl_GlobalInvocationID.y); + + if (i01 < p.M && i11 < p.N) { + float sum = 0.0f; + + for (int i = 0; i < p.K; i++) { + sum += A_data[i01 * p.stride_a + i] * B_data[i11 * p.stride_b + i]; + } + + D_data[i11 * p.stride_d + i01] = sum; + } +} diff --git a/ggml-vulkan-matmul.glsl b/ggml-vulkan-matmul.glsl deleted file mode 100644 index e26fbbc09e7a8..0000000000000 --- a/ggml-vulkan-matmul.glsl +++ /dev/null @@ -1,112 +0,0 @@ -// Copyright 2023 Google LLC -// -// Licensed under the Apache License, Version 2.0 (the "License"); -// you may not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// https://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, software -// distributed under the License is distributed on an "AS IS" BASIS, -// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -// See the License for the specific language governing permissions and -// limitations under the License. - -// Original at https://github.com/google/uVkCompute/blob/f3180c7e72ae639c0a7bc8cff7ed615b63ced27c/benchmarks/mmt/mmt_i8.glsl -// Modified by 0cc4m for FP32 - -#version 450 core -#pragma use_vulkan_memory_model - -#extension GL_EXT_scalar_block_layout : enable -#extension GL_EXT_control_flow_attributes : enable - -#extension GL_KHR_shader_subgroup_basic : enable - -#define WG_X 32 -#define WG_Y 2 -#define M0 32 -#define N0 256 -#define K0 16 - -layout(binding = 0) buffer InputA { vec4 x[]; } inputA; -layout(binding = 1) buffer InputB { vec4 x[]; } inputB; -layout(binding = 2) buffer Output { float x[]; } outputO; - -layout(local_size_x = WG_X, local_size_y = WG_Y, local_size_z = 1) in; - -layout(constant_id = 0) const uint M = 1; -layout(constant_id = 1) const uint N = 1; -layout(constant_id = 2) const uint K = 1; - -const uint VECTORIZE_K = 4; -const uint K_VEC = K / VECTORIZE_K; -const uint K0_VEC = K0 / VECTORIZE_K; - -const uint VECTORIZE_N = 4; -const uint N_VEC = N / VECTORIZE_N; -const uint N0_VEC = N0 / VECTORIZE_N; - -const uint strideA = K_VEC; // Stride of the `inputA` matrix. -const uint strideB = K_VEC; // Stride of the `inputB` matrix. -const uint strideC = N; // Stride of the `outputO` matrix. - -// Each workgroup processes an output tile of size [M0 x N0], therefore -// each thread processes a [M0/WG_Y x N0/WG_X] subview. -const uint C_ROWS = M0 / WG_Y; -const uint C_COLS = N0 / WG_X; - -/// Returns the index of `X[i, j]`, where `X` is a 2D matrix of stride |stride|. -uint coordToOffset(uint i, uint j, uint stride) { return stride * i + j; } - -float sdot(vec4 lhs, vec4 rhs) { - vec4 mul = vec4(lhs) * vec4(rhs); - return float(mul.x) + float(mul.y) + float(mul.z) + float(mul.w); -} - -void main() { - const uvec2 wgID = gl_WorkGroupID.xy; - const uvec2 localID = gl_LocalInvocationID.xy; - const uint threadID = gl_SubgroupInvocationID; - const uint subgroupID = gl_SubgroupID; - const uint subgroupSz = gl_SubgroupSize; - const uint numSubgroups = gl_NumSubgroups; - - // The start offsets of the tile processed by this thread in this workgroup. - const uint x_offset = wgID.x * N0 + C_COLS * localID.x; - const uint y_offset = wgID.y * M0 + C_ROWS * localID.y; - - float C[C_ROWS][C_COLS]; // Local data for the output. - - // Initialize result to zero. - [[unroll]] for (uint i = 0; i < C_ROWS; ++i) { - [[unroll]] for (uint j = 0; j < C_COLS; ++j) { - C[i][j] = 0; - } - } - - for (uint k = 0; k < K_VEC; k += K0_VEC) { - [[unroll]] for (uint i = 0; i < C_ROWS; ++i) { - [[unroll]] for (uint kk = 0; kk < K0_VEC; ++kk) { - uint y = y_offset + i; - uint gk = k + (kk + threadID) % K0_VEC; - vec4 lhs = inputA.x[coordToOffset(y, gk, strideA)]; - [[unroll]] for (uint j = 0; j < C_COLS; ++j) { - // Calculate the inner product `C[i, j] := sum(A[i, ..] * B[j, ..])`. - uint x = x_offset + j; - vec4 rhs = inputB.x[coordToOffset(x, gk, strideB)]; - C[i][j] += sdot(lhs, rhs); - } - } - } - } - - // Store the accumulated results in `outputO`. - [[unroll]] for (uint i = 0; i < C_ROWS; ++i) { - uint y = y_offset + i; - [[unroll]] for (uint j = 0; j < C_COLS; ++j) { - uint x = x_offset + j; - outputO.x[coordToOffset(y, x, strideC)] = C[i][j]; - } - } -} diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 34b2617e1ee13..f42254ecd42bd 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -107,7 +107,13 @@ void ggml_vk_init(void) { descriptor_set_layout_binding); vk_pipeline_matmul_dsl = vk_device.createDescriptorSetLayout(descriptor_set_layout_create_info); - vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), vk_pipeline_matmul_dsl); + vk::PushConstantRange push_constant_range( + vk::ShaderStageFlagBits::eCompute, + 0, + 6 * sizeof(int) + ); + + vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), vk_pipeline_matmul_dsl, push_constant_range); vk_pipeline_matmul_layout = vk_device.createPipelineLayout(pipeline_layout_create_info); vk::PipelineCache pipeline_cache = vk_device.createPipelineCache(vk::PipelineCacheCreateInfo()); @@ -186,7 +192,7 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf) { vk::BufferCreateInfo buffer_create_info{ vk::BufferCreateFlags(), size, - vk::BufferUsageFlagBits::eStorageBuffer, + vk::BufferUsageFlagBits::eStorageBuffer | vk::BufferUsageFlagBits::eTransferSrc | vk::BufferUsageFlagBits::eTransferDst, vk::SharingMode::eExclusive, 1, &vk_compute_queue_family_index @@ -205,10 +211,6 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf) { VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, buf->allocation, &mem_prop_flags); - - if(!(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT)) { - printf("Nope\n"); - } } static void ggml_vk_pool_free(vk_buffer* buffer) { @@ -226,12 +228,27 @@ static void ggml_vk_pool_free(vk_buffer* buffer) { vmaDestroyBuffer(vk_allocator, buffer->buffer, buffer->allocation); } -static void ggml_vk_buffer_write(VkCommandBuffer cmd_buf, vk_buffer* dst, size_t offset, const void * src, size_t size) { +static vk::CommandBuffer ggml_vk_cmd_buffer_create() { + vk::CommandPoolCreateInfo command_pool_create_info(vk::CommandPoolCreateFlags(), vk_compute_queue_family_index); + vk::CommandPool command_pool = vk_device.createCommandPool(command_pool_create_info); + + vk::CommandBufferAllocateInfo command_buffer_alloc_info( + command_pool, + vk::CommandBufferLevel::ePrimary, + 1); + const std::vector cmd_buffers = vk_device.allocateCommandBuffers(command_buffer_alloc_info); + return cmd_buffers.front(); +} + +static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src, size_t size) { VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { memcpy(dst->info.pMappedData, src, size); + if (!(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT)) { + vmaFlushAllocation(vk_allocator, dst->allocation, 0, VK_WHOLE_SIZE); + } } else { // Allocation ended up in a non-mappable memory - need to transfer. VkBufferCreateInfo staging_buf_create_info = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; @@ -261,16 +278,39 @@ static void ggml_vk_buffer_write(VkCommandBuffer cmd_buf, vk_buffer* dst, size_t 0, // srcOffset 0, // dstOffset, size}; // size - vkCmdCopyBuffer(cmd_buf, staging_buf, dst->buffer, 1, &buf_copy); + + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(); + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); + cmd_buffer.begin(cmd_buffer_begin_info); + vkCmdCopyBuffer(cmd_buffer, staging_buf, dst->buffer, 1, &buf_copy); + cmd_buffer.end(); + + vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + + vk::SubmitInfo submit_info(0, + nullptr, + nullptr, + 1, + &cmd_buffer); + queue.submit({ submit_info }, fence); + vk_device.waitForFences({ fence }, + true, + uint64_t(-1)); vmaDestroyBuffer(vk_allocator, staging_buf, staging_alloc); } } -static void ggml_vk_buffer_read(VkCommandBuffer cmd_buf, vk_buffer* src, size_t offset, void * dst, size_t size) { +static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size) { + vk::CommandBuffer cmd_buf = ggml_vk_cmd_buffer_create(); + VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, src->allocation, &mem_prop_flags); if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { + if (!(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT)) { + vmaInvalidateAllocation(vk_allocator, src->allocation, 0, VK_WHOLE_SIZE); + } memcpy(dst, src->info.pMappedData, size); } else { // Allocation ended up in a non-mappable memory - need to transfer. @@ -298,15 +338,32 @@ static void ggml_vk_buffer_read(VkCommandBuffer cmd_buf, vk_buffer* src, size_t offset, // srcOffset 0, // dstOffset, size}; // size - vkCmdCopyBuffer(cmd_buf, src->buffer, staging_buf, 1, &buf_copy); vmaInvalidateAllocation(vk_allocator, staging_alloc, 0, VK_WHOLE_SIZE); - // [Executed in runtime]: + + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(); + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); + cmd_buffer.begin(cmd_buffer_begin_info); + vkCmdCopyBuffer(cmd_buffer, src->buffer, staging_buf, 1, &buf_copy); + cmd_buffer.end(); + + vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + + vk::SubmitInfo submit_info(0, + nullptr, + nullptr, + 1, + &cmd_buffer); + queue.submit({ submit_info }, fence); + vk_device.waitForFences({ fence }, + true, + uint64_t(-1)); memcpy(dst, staging_alloc_info.pMappedData, size); vmaDestroyBuffer(vk_allocator, staging_buf, staging_alloc); } } -static void ggml_vk_h2d_tensor_2d(VkCommandBuffer cmd_buf, vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2) { +static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2) { const uint64_t ne0 = src->ne[0]; const uint64_t ne1 = src->ne[1]; const uint64_t nb0 = src->nb[0]; @@ -319,13 +376,12 @@ static void ggml_vk_h2d_tensor_2d(VkCommandBuffer cmd_buf, vk_buffer* dst, size_ const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); if (nb0 == ts && nb1 == ts*ne0/bs) { - ggml_vk_buffer_write(cmd_buf, dst, offset, x, ne1*nb1); + ggml_vk_buffer_write(dst, offset, x, ne1*nb1); return; } if (nb0 == ts) { - // Might be better to use vkCmdCopyBuffer here for (uint64_t i1 = 0; i1 < ne1; i1++) { - ggml_vk_buffer_write(cmd_buf, dst, offset + ne0 * i1, x + ts*ne0/bs, ne0*nb0); + ggml_vk_buffer_write(dst, offset + ne0 * i1, (uint8_t *)x + ts*ne0/bs, ne0*nb0); } return; } @@ -336,7 +392,6 @@ static void ggml_vk_h2d_tensor_2d(VkCommandBuffer cmd_buf, vk_buffer* dst, size_ dst_ptr[offset + i1 * ts*ne0/bs + i0 * ts] = xc[i1 * nb1 + i0 * nb0]; } } - return; } static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { @@ -386,36 +441,30 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr }; vk_device.updateDescriptorSets(write_descriptor_sets, {}); - vk::CommandPoolCreateInfo command_pool_create_info(vk::CommandPoolCreateFlags(), vk_compute_queue_family_index); - vk::CommandPool command_pool = vk_device.createCommandPool(command_pool_create_info); + std::array push_constants = { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }; + assert( ( sizeof( push_constants ) <= vk_physical_device.getProperties().limits.maxPushConstantsSize ) && "Too many push constants" ); - vk::CommandBufferAllocateInfo command_buffer_alloc_info( - command_pool, - vk::CommandBufferLevel::ePrimary, - 1); - const std::vector cmd_buffers = vk_device.allocateCommandBuffers(command_buffer_alloc_info); - vk::CommandBuffer cmd_buffer = cmd_buffers.front(); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(); for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { // copy data to device if (src0->backend != GGML_BACKEND_GPU) { - ggml_vk_h2d_tensor_2d(cmd_buffer, &d_X, 0, src0, i03, i02); + ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02); } - ggml_vk_h2d_tensor_2d(cmd_buffer, &d_Y, 0, src1, i03, i02); - - printf("Beginning Vulkan kernel call\n"); + ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02); // compute vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); + cmd_buffer.pushConstants(vk_pipeline_matmul_layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, vk_pipeline_matmul); cmd_buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, vk_pipeline_matmul_layout, 0, { descriptor_set }, {}); - cmd_buffer.dispatch(d_ne, 1, 1); + cmd_buffer.dispatch((ne01 + 31) / 32, (ne11 + 31) / 32, 1); cmd_buffer.end(); vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); @@ -431,11 +480,10 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr true, uint64_t(-1)); - printf("Vulkan kernel call done\n"); - // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_buffer_read(cmd_buffer, &d_D, 0, d, sizeof(float) * d_ne); + float * d_blas = (float *) malloc(sizeof(float) * d_ne); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); } } @@ -447,6 +495,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr } static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + assert(false); // const int64_t ne00 = src0->ne[0]; // const int64_t ne01 = src0->ne[1]; // const int64_t ne02 = src0->ne[2]; @@ -577,7 +626,7 @@ bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tens const int64_t ne1 = dst->ne[1]; // TODO: find the optimal values for these - if ((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && + if ((src0->type == GGML_TYPE_F32 /*|| src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)*/) && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32 && ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_GPU)) { From baf9ff536bb7bc826a504b7fff03991a41a738ef Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 23 Jun 2023 14:43:57 +0200 Subject: [PATCH 010/142] GEMM Kernel optimization --- Makefile | 6 ++--- ggml-vulkan-matmul.comp | 50 ++++++++++++++++++++++++++++++++--------- ggml-vulkan.cpp | 34 ++++++++++++++++++++++++++-- 3 files changed, 73 insertions(+), 17 deletions(-) diff --git a/Makefile b/Makefile index 5523d9d045a5c..a967e3c7c3a1c 100644 --- a/Makefile +++ b/Makefile @@ -215,12 +215,11 @@ endif # LLAMA_METAL ifdef LLAMA_VULKAN CFLAGS += -DGGML_USE_VULKAN - LDFLAGS += -lvulkan + LDFLAGS += -lvulkan -lopenblas -lcblas OBJS += ggml-vulkan.o ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h $(CXX) $(CXXFLAGS) -c $< -o $@ -ggml-vulkan-matmul-shader: - glslc -fshader-stage=compute --target-env=vulkan1.2 -O ggml-vulkan-matmul.glsl -o ggml-vulkan-matmul.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 -O ggml-vulkan-matmul.comp -o ggml-vulkan-matmul.spv endif ifneq ($(filter aarch64%,$(UNAME_M)),) @@ -287,7 +286,6 @@ clean: # # Examples # - main: examples/main/main.cpp build-info.h ggml.o llama.o common.o $(OBJS) $(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS) @echo diff --git a/ggml-vulkan-matmul.comp b/ggml-vulkan-matmul.comp index 4a34e950e9a9d..4341a51ac08ea 100644 --- a/ggml-vulkan-matmul.comp +++ b/ggml-vulkan-matmul.comp @@ -1,10 +1,14 @@ #version 450 -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; +#define BLOCKSIZE 32 -layout (binding = 0) readonly buffer A { float A_data[]; }; -layout (binding = 1) readonly buffer B { float B_data[]; }; -layout (binding = 2) writeonly buffer D { float D_data[]; }; +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = BLOCKSIZE * BLOCKSIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { float data_a[]; }; +layout (binding = 1) readonly buffer B { float data_b[]; }; +layout (binding = 2) writeonly buffer D { float data_d[]; }; layout (push_constant) uniform parameter { @@ -16,18 +20,42 @@ layout (push_constant) uniform parameter int stride_d; } p; +shared float buf_a[(BLOCKSIZE+1) * BLOCKSIZE]; +shared float buf_b[(BLOCKSIZE+1) * BLOCKSIZE]; + void main() { - int i01 = int(gl_GlobalInvocationID.x); - int i11 = int(gl_GlobalInvocationID.y); + const int lr = int(gl_LocalInvocationID.x % BLOCKSIZE); + const int lc = int(gl_LocalInvocationID.x / BLOCKSIZE); + + const int ir = int(gl_WorkGroupID.x); + const int ic = int(gl_WorkGroupID.y); + + int pos_a = ir * BLOCKSIZE * p.stride_a; + int pos_b = ic * BLOCKSIZE * p.stride_b; + + float sum = 0.0f; - if (i01 < p.M && i11 < p.N) { - float sum = 0.0f; + [[unroll]] for (int i = 0; i < p.K; i += BLOCKSIZE) { + buf_a[lc * (BLOCKSIZE+1) + lr] = data_a[pos_a + lc * p.stride_a + lr]; + buf_b[lc * (BLOCKSIZE+1) + lr] = data_b[pos_b + lc * p.stride_b + lr]; - for (int i = 0; i < p.K; i++) { - sum += A_data[i01 * p.stride_a + i] * B_data[i11 * p.stride_b + i]; + barrier(); + + pos_a += BLOCKSIZE; + pos_b += BLOCKSIZE; + + [[unroll]] for (int j = 0; j < BLOCKSIZE; j++) { + sum += buf_a[lr * (BLOCKSIZE+1) + j] * buf_b[lc * (BLOCKSIZE+1) + j]; } - D_data[i11 * p.stride_d + i01] = sum; + barrier(); + } + + const int dr = ir * BLOCKSIZE + lr; + const int dc = ic * BLOCKSIZE + lc; + + if (dr < p.M && dc < p.N) { + data_d[dc * p.stride_d + dr] = sum; } } diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index f42254ecd42bd..77de265dcaa4e 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1,5 +1,8 @@ #include "ggml-vulkan.h" +#include +#include + #include #define VMA_IMPLEMENTATION #if UINTPTR_MAX == 0xFFFFFFFF @@ -29,6 +32,7 @@ inline static void* ggml_aligned_malloc(size_t size, size_t alignment) { #include #include #include +#include #include "ggml.h" @@ -199,7 +203,7 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf) { }; VmaAllocationCreateInfo allocation_info = {}; - allocation_info.usage = VMA_MEMORY_USAGE_AUTO; + allocation_info.usage = VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE; allocation_info.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT; vmaCreateBuffer(vk_allocator, @@ -455,6 +459,8 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02); // compute + auto begin = std::chrono::high_resolution_clock::now(); + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); cmd_buffer.pushConstants(vk_pipeline_matmul_layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); @@ -480,10 +486,34 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr true, uint64_t(-1)); + auto end = std::chrono::high_resolution_clock::now(); + + std::cout << "m=" << ne01 << " n=" << ne11 << " k=" << ne10 << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms" << std::endl; + // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - float * d_blas = (float *) malloc(sizeof(float) * d_ne); ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); + +#ifdef false + const float * x = (float *) ((char *) src0->data); + const float * y = (float *) ((char *) src1->data); + float * d_chk = (float *) malloc(sizeof(float) * d_ne); + + cblas_sgemm(CblasColMajor, CblasTrans, CblasNoTrans, + ne01, ne11, ne10, + 1.0f, x, ne00, + y, ne10, + 0.0f, d_chk, ne01); + + for (size_t i = 0; i < d_ne; i++) { + if (std::fabs(d[i] - d_chk[i]) > 0.01f) { + printf("d[%ld] = %f d_chk[%ld] = %f\n", i, d[i], i, d_chk[i]); + abort(); + } + } + + free(d_chk); +#endif } } From 1b4863c2b939a60842fbcf39f53be94a6687c2ce Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 24 Jun 2023 08:01:43 +0200 Subject: [PATCH 011/142] 1D Blocktiling --- ggml-vulkan-matmul.comp | 57 ++++++++++++++++++++++++----------------- ggml-vulkan.cpp | 6 +++-- 2 files changed, 38 insertions(+), 25 deletions(-) diff --git a/ggml-vulkan-matmul.comp b/ggml-vulkan-matmul.comp index 4341a51ac08ea..3166bb659fc01 100644 --- a/ggml-vulkan-matmul.comp +++ b/ggml-vulkan-matmul.comp @@ -1,10 +1,13 @@ #version 450 -#define BLOCKSIZE 32 +#define BM 64 +#define BN 64 +#define BK 8 +#define TM 8 #extension GL_EXT_control_flow_attributes : enable -layout(local_size_x = BLOCKSIZE * BLOCKSIZE, local_size_y = 1, local_size_z = 1) in; +layout(local_size_x = (BM * BN) / TM, local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer A { float data_a[]; }; layout (binding = 1) readonly buffer B { float data_b[]; }; @@ -20,42 +23,50 @@ layout (push_constant) uniform parameter int stride_d; } p; -shared float buf_a[(BLOCKSIZE+1) * BLOCKSIZE]; -shared float buf_b[(BLOCKSIZE+1) * BLOCKSIZE]; - -void main() -{ - const int lr = int(gl_LocalInvocationID.x % BLOCKSIZE); - const int lc = int(gl_LocalInvocationID.x / BLOCKSIZE); +shared float buf_a[BM * (BK+1)]; +shared float buf_b[BN * (BK+1)]; +void main() { const int ir = int(gl_WorkGroupID.x); const int ic = int(gl_WorkGroupID.y); - int pos_a = ir * BLOCKSIZE * p.stride_a; - int pos_b = ic * BLOCKSIZE * p.stride_b; + const int lr = int(gl_LocalInvocationID.x % BK); + const int lc = int(gl_LocalInvocationID.x / BK); + + int pos_a = ir * BM * p.stride_a; + int pos_b = ic * BN * p.stride_b; - float sum = 0.0f; + float sums[TM]; + float btmp; + + [[unroll]] for (int k = 0; k < TM; k++) { + sums[k] = 0.0f; + } - [[unroll]] for (int i = 0; i < p.K; i += BLOCKSIZE) { - buf_a[lc * (BLOCKSIZE+1) + lr] = data_a[pos_a + lc * p.stride_a + lr]; - buf_b[lc * (BLOCKSIZE+1) + lr] = data_b[pos_b + lc * p.stride_b + lr]; + for (int i = 0; i < p.K; i += BK) { + // A is transposed + buf_a[lc * (BK+1) + lr] = data_a[pos_a + lc * p.stride_a + lr]; + buf_b[lc * (BK+1) + lr] = data_b[pos_b + lc * p.stride_b + lr]; barrier(); - pos_a += BLOCKSIZE; - pos_b += BLOCKSIZE; + pos_a += BK; + pos_b += BK; - [[unroll]] for (int j = 0; j < BLOCKSIZE; j++) { - sum += buf_a[lr * (BLOCKSIZE+1) + j] * buf_b[lc * (BLOCKSIZE+1) + j]; + [[unroll]] for (int j = 0; j < BK; j++) { + btmp = buf_b[lc * (BK+1) + j]; + [[unroll]] for (int k = 0; k < TM; k++) { + sums[k] += buf_a[(lr * TM + k) * (BK+1) + j] * btmp; + } } barrier(); } - const int dr = ir * BLOCKSIZE + lr; - const int dc = ic * BLOCKSIZE + lc; + const int dr = ir * BM + lr * TM; + const int dc = ic * BN + lc; - if (dr < p.M && dc < p.N) { - data_d[dc * p.stride_d + dr] = sum; + [[unroll]] for (int k = 0; k < TM; k++) { + data_d[dc * p.stride_d + dr + k] = sums[k]; } } diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 77de265dcaa4e..133f2a39987d8 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -38,6 +38,8 @@ inline static void* ggml_aligned_malloc(size_t size, size_t alignment) { #define VK_API_VERSION VK_API_VERSION_1_2 +#define CEIL_DIV(M, N) (((M) + (N)-1) / (N)) + vk::Instance vk_instance; uint32_t vk_compute_queue_family_index; vk::PhysicalDevice vk_physical_device; @@ -470,7 +472,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr 0, { descriptor_set }, {}); - cmd_buffer.dispatch((ne01 + 31) / 32, (ne11 + 31) / 32, 1); + cmd_buffer.dispatch(CEIL_DIV(ne01, 64), CEIL_DIV(ne11, 64), 1); cmd_buffer.end(); vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); @@ -494,7 +496,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); -#ifdef false +#if 0 const float * x = (float *) ((char *) src0->data); const float * y = (float *) ((char *) src1->data); float * d_chk = (float *) malloc(sizeof(float) * d_ne); From 7c6860b483fb04a4b922d3a54ac21097dcba0db0 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 24 Jun 2023 18:40:11 +0200 Subject: [PATCH 012/142] 2D Blocktiling --- ggml-vulkan-matmul.comp | 65 ++++++++++++++++++++++++++++------------- ggml-vulkan.cpp | 2 +- 2 files changed, 46 insertions(+), 21 deletions(-) diff --git a/ggml-vulkan-matmul.comp b/ggml-vulkan-matmul.comp index 3166bb659fc01..05e24f9aea458 100644 --- a/ggml-vulkan-matmul.comp +++ b/ggml-vulkan-matmul.comp @@ -1,13 +1,14 @@ #version 450 -#define BM 64 -#define BN 64 +#define BM 128 +#define BN 128 #define BK 8 #define TM 8 +#define TN 8 #extension GL_EXT_control_flow_attributes : enable -layout(local_size_x = (BM * BN) / TM, local_size_y = 1, local_size_z = 1) in; +layout(local_size_x = (BM * BN) / (TM * TN), local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer A { float data_a[]; }; layout (binding = 1) readonly buffer B { float data_b[]; }; @@ -30,33 +31,55 @@ void main() { const int ir = int(gl_WorkGroupID.x); const int ic = int(gl_WorkGroupID.y); - const int lr = int(gl_LocalInvocationID.x % BK); - const int lc = int(gl_LocalInvocationID.x / BK); + const int lr = int(gl_LocalInvocationID.x % (BM/TM)); + const int lc = int(gl_LocalInvocationID.x / (BM/TM)); + + const int loadr = int(gl_LocalInvocationID.x % BK); + const int loadc = int(gl_LocalInvocationID.x / BK); + + const int loadstride = int(gl_WorkGroupSize.x); int pos_a = ir * BM * p.stride_a; int pos_b = ic * BN * p.stride_b; - float sums[TM]; - float btmp; + float sums[TM * TN]; + float cache_a[TM]; + float cache_b[TN]; - [[unroll]] for (int k = 0; k < TM; k++) { - sums[k] = 0.0f; + [[unroll]] for (int i = 0; i < TM*TN; i++) { + sums[i] = 0.0f; } - for (int i = 0; i < p.K; i += BK) { - // A is transposed - buf_a[lc * (BK+1) + lr] = data_a[pos_a + lc * p.stride_a + lr]; - buf_b[lc * (BK+1) + lr] = data_b[pos_b + lc * p.stride_b + lr]; + for (int block = 0; block < p.K; block += BK) { + [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; + } + [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; + } barrier(); pos_a += BK; pos_b += BK; - [[unroll]] for (int j = 0; j < BK; j++) { - btmp = buf_b[lc * (BK+1) + j]; - [[unroll]] for (int k = 0; k < TM; k++) { - sums[k] += buf_a[(lr * TM + k) * (BK+1) + j] * btmp; + [[unroll]] for (int i = 0; i < BK; i++) { + // Load from shared into cache + [[unroll]] for (int j = 0; j < TM; j++) { + cache_a[j] = buf_a[(lr * TM + j) * (BK+1) + i]; + } + [[unroll]] for (int j = 0; j < TN; j++) { + cache_b[j] = buf_b[(lc * TN + j) * (BK+1) + i]; + } + + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + sums[cc * TM + cr] += cache_a[cr] * cache_b[cc]; + } } } @@ -64,9 +87,11 @@ void main() { } const int dr = ir * BM + lr * TM; - const int dc = ic * BN + lc; + const int dc = ic * BN + lc * TN; - [[unroll]] for (int k = 0; k < TM; k++) { - data_d[dc * p.stride_d + dr + k] = sums[k]; + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + data_d[(dc + cc) * p.stride_d + dr + cr] = sums[cc * TM + cr]; + } } } diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 133f2a39987d8..99265f9909c3d 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -472,7 +472,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr 0, { descriptor_set }, {}); - cmd_buffer.dispatch(CEIL_DIV(ne01, 64), CEIL_DIV(ne11, 64), 1); + cmd_buffer.dispatch(CEIL_DIV(ne01, 128), CEIL_DIV(ne11, 128), 1); cmd_buffer.end(); vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); From 0c9cca00bd984afb35cc303f7fb5ff49abbd57be Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 25 Jun 2023 09:54:40 +0200 Subject: [PATCH 013/142] Write coalescing --- ggml-vulkan-matmul.comp | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/ggml-vulkan-matmul.comp b/ggml-vulkan-matmul.comp index 05e24f9aea458..8fc894c370f82 100644 --- a/ggml-vulkan-matmul.comp +++ b/ggml-vulkan-matmul.comp @@ -31,8 +31,10 @@ void main() { const int ir = int(gl_WorkGroupID.x); const int ic = int(gl_WorkGroupID.y); - const int lr = int(gl_LocalInvocationID.x % (BM/TM)); - const int lc = int(gl_LocalInvocationID.x / (BM/TM)); + const int rstride = BM / TM; + + const int lr = int(gl_LocalInvocationID.x % rstride); + const int lc = int(gl_LocalInvocationID.x / rstride); const int loadr = int(gl_LocalInvocationID.x % BK); const int loadc = int(gl_LocalInvocationID.x / BK); @@ -50,7 +52,7 @@ void main() { sums[i] = 0.0f; } - for (int block = 0; block < p.K; block += BK) { + [[unroll]] for (int block = 0; block < p.K; block += BK) { [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { const int lr = l % BK; const int lc = l / BK; @@ -69,8 +71,8 @@ void main() { [[unroll]] for (int i = 0; i < BK; i++) { // Load from shared into cache - [[unroll]] for (int j = 0; j < TM; j++) { - cache_a[j] = buf_a[(lr * TM + j) * (BK+1) + i]; + [[unroll]] for (int j = 0; j < BM; j++) { + cache_a[j] = buf_a[(lr + j*rstride) * (BK+1) + i]; } [[unroll]] for (int j = 0; j < TN; j++) { cache_b[j] = buf_b[(lc * TN + j) * (BK+1) + i]; @@ -86,12 +88,12 @@ void main() { barrier(); } - const int dr = ir * BM + lr * TM; + const int dr = ir * BM + lr; const int dc = ic * BN + lc * TN; [[unroll]] for (int cc = 0; cc < TN; cc++) { [[unroll]] for (int cr = 0; cr < TM; cr++) { - data_d[(dc + cc) * p.stride_d + dr + cr] = sums[cc * TM + cr]; + data_d[(dc + cc) * p.stride_d + dr + cr*rstride] = sums[cc * TM + cr]; } } } From 2c70df985ac1db636f4241cdec0869f0dfa9f244 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 25 Jun 2023 15:17:23 +0200 Subject: [PATCH 014/142] Continue vulkan implementation and optimization --- Makefile | 1 + ggml-vulkan.cpp | 379 +++++++++++++++++++++++++++++++++--------------- llama-util.h | 46 ++++++ 3 files changed, 309 insertions(+), 117 deletions(-) diff --git a/Makefile b/Makefile index a967e3c7c3a1c..e6d8f9e00e4d9 100644 --- a/Makefile +++ b/Makefile @@ -215,6 +215,7 @@ endif # LLAMA_METAL ifdef LLAMA_VULKAN CFLAGS += -DGGML_USE_VULKAN + CXXFLAGS += -DGGML_USE_VULKAN LDFLAGS += -lvulkan -lopenblas -lcblas OBJS += ggml-vulkan.o ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 99265f9909c3d..6832653c4f2fd 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1,7 +1,9 @@ #include "ggml-vulkan.h" +#ifdef VK_CHK_KERNEL #include #include +#endif #include #define VMA_IMPLEMENTATION @@ -33,6 +35,8 @@ inline static void* ggml_aligned_malloc(size_t size, size_t alignment) { #include #include #include +#include +#include #include "ggml.h" @@ -42,8 +46,10 @@ inline static void* ggml_aligned_malloc(size_t size, size_t alignment) { vk::Instance vk_instance; uint32_t vk_compute_queue_family_index; +uint32_t vk_transfer_queue_family_index; vk::PhysicalDevice vk_physical_device; vk::Device vk_device; +vk::CommandPool vk_command_pool_compute, vk_command_pool_transfer; VmaAllocator vk_allocator; vk::DescriptorSetLayout vk_pipeline_matmul_dsl; vk::PipelineLayout vk_pipeline_matmul_layout; @@ -53,6 +59,15 @@ vk::Buffer vk_buffer_qa, vk_buffer_a, vk_buffer_b, vk_buffer_c; bool vk_fp16_support = false; +struct vk_buffer { + vk::Buffer buffer; + VmaAllocation allocation; + VmaAllocationInfo info; + size_t size = 0; +}; + +static std::vector> vk_buf_list; + void ggml_vk_init(void) { char* GGML_VULKAN_DEVICE = getenv("GGML_VULKAN_DEVICE"); int dev_num = (GGML_VULKAN_DEVICE == NULL ? 0 : atoi(GGML_VULKAN_DEVICE)); @@ -67,15 +82,47 @@ void ggml_vk_init(void) { std::cout << "ggml_vulkan: Using " << device_props.deviceName << std::endl; std::vector queue_family_props = vk_physical_device.getQueueFamilyProperties(); - auto prop_it = std::find_if(queue_family_props.begin(), queue_family_props.end(), [](const vk::QueueFamilyProperties& prop) - { - return prop.queueFlags & vk::QueueFlagBits::eCompute; - }); - vk_compute_queue_family_index = std::distance(queue_family_props.begin(), prop_it); - - const float queue_priority = 1.0f; - vk::DeviceQueueCreateInfo device_queue_create_info(vk::DeviceQueueCreateFlags(), vk_compute_queue_family_index, 1, &queue_priority); - vk::DeviceCreateInfo device_create_info(vk::DeviceCreateFlags(), device_queue_create_info); + + const size_t qfsize = queue_family_props.size(); + + // Try to find a non-graphics compute queue and a transfer-focused queue + vk_compute_queue_family_index = qfsize; + vk_transfer_queue_family_index = qfsize; + for (size_t i = 0; i < qfsize; i++) { + // std::cout << i << ": " << "compute=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eCompute) << " transfer=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eTransfer) << " graphics=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eGraphics) << " protected=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eProtected) << " optical_flow_nv=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eOpticalFlowNV) << " sparse binding=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eSparseBinding) << " video decode=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eVideoDecodeKHR) << std::endl; + if (vk_compute_queue_family_index >= qfsize && !(queue_family_props[i].queueFlags & vk::QueueFlagBits::eGraphics) && queue_family_props[i].queueFlags & vk::QueueFlagBits::eCompute) { + vk_compute_queue_family_index = i; + } + if (vk_transfer_queue_family_index >= qfsize && !(queue_family_props[i].queueFlags & (vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics | vk::QueueFlagBits::eVideoDecodeKHR | vk::QueueFlagBits::eProtected | vk::QueueFlagBits::eOpticalFlowNV)) && queue_family_props[i].queueFlags & vk::QueueFlagBits::eTransfer) { + vk_transfer_queue_family_index = i; + } + } + + // Fall back to graphics and compute queue if not yet found + if (vk_compute_queue_family_index == qfsize) { + for (size_t i = 0; i < qfsize; i++) { + if (vk_compute_queue_family_index >= qfsize && queue_family_props[i].queueFlags & vk::QueueFlagBits::eCompute) { + vk_compute_queue_family_index = i; + } + } + } + + if (vk_compute_queue_family_index == qfsize) { + std::cerr << "ggml_vulkan: vk_compute_queue_family_index invalid" << std::endl; + abort(); + } + if (vk_transfer_queue_family_index == qfsize) { + std::cerr << "ggml_vulkan: vk_transfer_queue_family_index invalid" << std::endl; + abort(); + } + + const float compute_queue_priority = 1.0f; + const float transfer_queue_priority = 1.0f; + vk::DeviceQueueCreateInfo device_queue_create_infos[] = { + {vk::DeviceQueueCreateFlags(), vk_compute_queue_family_index, 1, &compute_queue_priority}, + {vk::DeviceQueueCreateFlags(), vk_transfer_queue_family_index, 1, &transfer_queue_priority}, + }; + vk::DeviceCreateInfo device_create_info(vk::DeviceCreateFlags(), device_queue_create_infos); vk_device = vk_physical_device.createDevice(device_create_info); // Allocator @@ -133,6 +180,12 @@ void ggml_vk_init(void) { pipeline_shader_create_info, vk_pipeline_matmul_layout); vk_pipeline_matmul = vk_device.createComputePipeline(pipeline_cache, compute_pipeline_create_info).value; + + vk::CommandPoolCreateInfo command_pool_create_info_compute(vk::CommandPoolCreateFlags(), vk_compute_queue_family_index); + vk_command_pool_compute = vk_device.createCommandPool(command_pool_create_info_compute); + + vk::CommandPoolCreateInfo command_pool_create_info_transfer(vk::CommandPoolCreateFlags(), vk_transfer_queue_family_index); + vk_command_pool_transfer = vk_device.createCommandPool(command_pool_create_info_transfer); } // buffer pool for vulkan @@ -152,17 +205,43 @@ struct scoped_spin_lock { scoped_spin_lock& operator=(const scoped_spin_lock&) = delete; }; -struct vk_buffer { - vk::Buffer buffer; - VmaAllocation allocation; - VmaAllocationInfo info; - size_t size = 0; -}; - static vk_buffer g_vk_buffer_pool[MAX_VK_BUFFERS]; static std::atomic_flag g_vk_pool_lock = ATOMIC_FLAG_INIT; -static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf) { +static vk_buffer ggml_vk_create_buffer(size_t size, VmaAllocationCreateFlags alloc_flags, VmaMemoryUsage vma_usage, VkMemoryPropertyFlags req_flags = 0) { + vk_buffer buf; + + buf.size = size; + vk::BufferCreateInfo buffer_create_info{ + vk::BufferCreateFlags(), + size, + vk::BufferUsageFlagBits::eStorageBuffer | vk::BufferUsageFlagBits::eTransferSrc | vk::BufferUsageFlagBits::eTransferDst, + vk::SharingMode::eExclusive, + 1, + &vk_compute_queue_family_index + }; + + VmaAllocationCreateInfo allocation_info = {}; + allocation_info.requiredFlags = req_flags; + allocation_info.flags = alloc_flags; + allocation_info.usage = vma_usage; + + vmaCreateBuffer(vk_allocator, + (VkBufferCreateInfo*)&buffer_create_info, + &allocation_info, + (VkBuffer*)&buf.buffer, + &buf.allocation, + &buf.info); + + return buf; +} + +static void ggml_vk_destroy_buffer(vk_buffer& buf) { + buf.size = 0; + vmaDestroyBuffer(vk_allocator, buf.buffer, buf.allocation); +} + +static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf, VmaAllocationCreateFlags alloc_flags) { scoped_spin_lock lock(g_vk_pool_lock); int best_i = -1; @@ -190,56 +269,72 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf) { if(worst_i != -1) { //no buffer that fits our needs, resize largest one to save memory vk_buffer& b = g_vk_buffer_pool[worst_i]; - b.size = 0; - vmaDestroyBuffer(vk_allocator, b.buffer, b.allocation); + ggml_vk_destroy_buffer(b); } - buf->size = size; - - vk::BufferCreateInfo buffer_create_info{ - vk::BufferCreateFlags(), - size, - vk::BufferUsageFlagBits::eStorageBuffer | vk::BufferUsageFlagBits::eTransferSrc | vk::BufferUsageFlagBits::eTransferDst, - vk::SharingMode::eExclusive, - 1, - &vk_compute_queue_family_index - }; - - VmaAllocationCreateInfo allocation_info = {}; - allocation_info.usage = VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE; - allocation_info.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT; - - vmaCreateBuffer(vk_allocator, - (VkBufferCreateInfo*)&buffer_create_info, - &allocation_info, - (VkBuffer*)&buf->buffer, - &buf->allocation, - &buf->info); - VkMemoryPropertyFlags mem_prop_flags; - vmaGetAllocationMemoryProperties(vk_allocator, buf->allocation, &mem_prop_flags); + *buf = ggml_vk_create_buffer(size, alloc_flags, VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE, 0); } -static void ggml_vk_pool_free(vk_buffer* buffer) { +static void ggml_vk_pool_free(vk_buffer& buffer) { scoped_spin_lock lock(g_vk_pool_lock); for (int i = 0; i < MAX_VK_BUFFERS; ++i) { vk_buffer& b = g_vk_buffer_pool[i]; if (b.size == 0) { - b = *buffer; + b = buffer; return; } } fprintf(stderr, "WARNING: vk buffer pool full, increase MAX_VK_BUFFERS\n"); - buffer->size = 0; - vmaDestroyBuffer(vk_allocator, buffer->buffer, buffer->allocation); + ggml_vk_destroy_buffer(buffer); } -static vk::CommandBuffer ggml_vk_cmd_buffer_create() { - vk::CommandPoolCreateInfo command_pool_create_info(vk::CommandPoolCreateFlags(), vk_compute_queue_family_index); - vk::CommandPool command_pool = vk_device.createCommandPool(command_pool_create_info); +void* ggml_vk_host_malloc(size_t size) { + if (getenv("GGML_VK_NO_PINNED") != nullptr) { + return nullptr; + } + + vk_buffer buf = ggml_vk_create_buffer(size, VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_HOST, VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT | VK_MEMORY_PROPERTY_HOST_COHERENT_BIT | VK_MEMORY_PROPERTY_HOST_CACHED_BIT); + + VkMemoryPropertyFlags mem_prop_flags; + vmaGetAllocationMemoryProperties(vk_allocator, buf.allocation, &mem_prop_flags); + + if(!(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT)) { + fprintf(stderr, "WARNING: failed to allocate %.2f MB of pinned memory\n", + size/1024.0/1024.0); + buf.size = 0; + vmaDestroyBuffer(vk_allocator, buf.buffer, buf.allocation); + return nullptr; + } + + printf("allocate %.2f MB of pinned memory\n", size/1024.0/1024.0); + + vk_buf_list.push_back(std::make_tuple(buf.info.pMappedData, size, buf)); + + return buf.info.pMappedData; +} + +void ggml_vk_host_free(void* ptr) { + vk_buffer* buf = nullptr; + for (size_t i = 0; i < vk_buf_list.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); + const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); + if (ptr >= addr && ptr < endr) { + buf = &std::get<2>(vk_buf_list[i]); + break; + } + } + if (buf == nullptr) { + fprintf(stderr, "WARNING: to free pinned memory: memory not in map\n"); + return; + } + + ggml_vk_destroy_buffer(*buf); +} +static vk::CommandBuffer ggml_vk_cmd_buffer_create(vk::CommandPool& pool) { vk::CommandBufferAllocateInfo command_buffer_alloc_info( - command_pool, + pool, vk::CommandBufferLevel::ePrimary, 1); const std::vector cmd_buffers = vk_device.allocateCommandBuffers(command_buffer_alloc_info); @@ -250,48 +345,72 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); + // Buffer is already mapped if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { memcpy(dst->info.pMappedData, src, size); if (!(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT)) { vmaFlushAllocation(vk_allocator, dst->allocation, 0, VK_WHOLE_SIZE); } } else { - // Allocation ended up in a non-mappable memory - need to transfer. - VkBufferCreateInfo staging_buf_create_info = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; - staging_buf_create_info.size = size; - staging_buf_create_info.usage = VK_BUFFER_USAGE_TRANSFER_SRC_BIT; - - VmaAllocationCreateInfo staging_alloc_create_info = {}; - staging_alloc_create_info.usage = VMA_MEMORY_USAGE_AUTO; - staging_alloc_create_info.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | - VMA_ALLOCATION_CREATE_MAPPED_BIT; - - VkBuffer staging_buf; - VmaAllocation staging_alloc; - VmaAllocationInfo staging_alloc_info; - vmaCreateBuffer(vk_allocator, - &staging_buf_create_info, - &staging_alloc_create_info, - &staging_buf, - &staging_alloc, - &staging_alloc_info); - - // [Executed in runtime]: - memcpy(staging_alloc_info.pMappedData + offset, src, size); - vmaFlushAllocation(vk_allocator, staging_alloc, 0, VK_WHOLE_SIZE); - //vkCmdPipelineBarrier: VK_ACCESS_HOST_WRITE_BIT --> VK_ACCESS_TRANSFER_READ_BIT + // Check if src is pinned memory + vk_buffer* buf = nullptr; + size_t buf_offset = 0; + for (size_t i = 0; i < vk_buf_list.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); + const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); + if (src >= addr && src < endr) { + buf = &std::get<2>(vk_buf_list[i]); + buf_offset = ((const uint8_t *)src) - addr; + break; + } + } + + if (buf != nullptr) { + // Memory is pinned, use as staging buffer + VkBufferCopy buf_copy = { + buf_offset, // srcOffset + offset, // dstOffset, + size}; // size + + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_transfer); + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); + cmd_buffer.begin(cmd_buffer_begin_info); + vkCmdCopyBuffer(cmd_buffer, buf->buffer, dst->buffer, 1, &buf_copy); + cmd_buffer.end(); + + vk::Queue queue = vk_device.getQueue(vk_transfer_queue_family_index, 0); + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + + vk::SubmitInfo submit_info(0, + nullptr, + nullptr, + 1, + &cmd_buffer); + queue.submit({ submit_info }, fence); + vk_device.waitForFences({ fence }, + true, + uint64_t(-1)); + vk_device.destroyFence(fence); + return; + } + + // Staging buffer required + vk_buffer staging_buf = ggml_vk_create_buffer(size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO, 0); + + memcpy(((uint8_t *)staging_buf.info.pMappedData) + offset, src, size); + vmaFlushAllocation(vk_allocator, staging_buf.allocation, 0, VK_WHOLE_SIZE); VkBufferCopy buf_copy = { 0, // srcOffset - 0, // dstOffset, + offset, // dstOffset, size}; // size - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_transfer); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); - vkCmdCopyBuffer(cmd_buffer, staging_buf, dst->buffer, 1, &buf_copy); + vkCmdCopyBuffer(cmd_buffer, staging_buf.buffer, dst->buffer, 1, &buf_copy); cmd_buffer.end(); - vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); + vk::Queue queue = vk_device.getQueue(vk_transfer_queue_family_index, 0); vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); vk::SubmitInfo submit_info(0, @@ -303,13 +422,13 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src vk_device.waitForFences({ fence }, true, uint64_t(-1)); - vmaDestroyBuffer(vk_allocator, staging_buf, staging_alloc); + + vk_device.destroyFence(fence); + ggml_vk_destroy_buffer(staging_buf); } } static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size) { - vk::CommandBuffer cmd_buf = ggml_vk_cmd_buffer_create(); - VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, src->allocation, &mem_prop_flags); @@ -319,40 +438,62 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } memcpy(dst, src->info.pMappedData, size); } else { - // Allocation ended up in a non-mappable memory - need to transfer. - VkBufferCreateInfo staging_buf_create_info = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; - staging_buf_create_info.size = size; - staging_buf_create_info.usage = VK_BUFFER_USAGE_TRANSFER_DST_BIT; - - VmaAllocationCreateInfo staging_alloc_create_info = {}; - staging_alloc_create_info.usage = VMA_MEMORY_USAGE_AUTO; - staging_alloc_create_info.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | - VMA_ALLOCATION_CREATE_MAPPED_BIT; - - VkBuffer staging_buf; - VmaAllocation staging_alloc; - VmaAllocationInfo staging_alloc_info; - vmaCreateBuffer(vk_allocator, - &staging_buf_create_info, - &staging_alloc_create_info, - &staging_buf, - &staging_alloc, - &staging_alloc_info); - - //vkCmdPipelineBarrier: VK_ACCESS_HOST_WRITE_BIT --> VK_ACCESS_TRANSFER_READ_BIT + // Check if dst is pinned memory + vk_buffer* buf = nullptr; + size_t buf_offset = 0; + for (size_t i = 0; i < vk_buf_list.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); + const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); + if (dst >= addr && dst < endr) { + buf = &std::get<2>(vk_buf_list[i]); + buf_offset = ((const uint8_t *)dst) - addr; + break; + } + } + + if (buf != nullptr) { + // Memory is pinned, use as staging buffer + VkBufferCopy buf_copy = { + offset, // srcOffset + buf_offset, // dstOffset, + size}; // size + + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_transfer); + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); + cmd_buffer.begin(cmd_buffer_begin_info); + vkCmdCopyBuffer(cmd_buffer, src->buffer, buf->buffer, 1, &buf_copy); + cmd_buffer.end(); + + vk::Queue queue = vk_device.getQueue(vk_transfer_queue_family_index, 0); + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + + vk::SubmitInfo submit_info(0, + nullptr, + nullptr, + 1, + &cmd_buffer); + queue.submit({ submit_info }, fence); + vk_device.waitForFences({ fence }, + true, + uint64_t(-1)); + vk_device.destroyFence(fence); + return; + } + vk_buffer staging_buf = ggml_vk_create_buffer(size, VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO, 0); + VkBufferCopy buf_copy = { offset, // srcOffset 0, // dstOffset, size}; // size - vmaInvalidateAllocation(vk_allocator, staging_alloc, 0, VK_WHOLE_SIZE); + vmaInvalidateAllocation(vk_allocator, staging_buf.allocation, 0, VK_WHOLE_SIZE); - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_transfer); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); - vkCmdCopyBuffer(cmd_buffer, src->buffer, staging_buf, 1, &buf_copy); + vkCmdCopyBuffer(cmd_buffer, src->buffer, staging_buf.buffer, 1, &buf_copy); cmd_buffer.end(); - vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); + vk::Queue queue = vk_device.getQueue(vk_transfer_queue_family_index, 0); vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); vk::SubmitInfo submit_info(0, @@ -364,8 +505,10 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ vk_device.waitForFences({ fence }, true, uint64_t(-1)); - memcpy(dst, staging_alloc_info.pMappedData, size); - vmaDestroyBuffer(vk_allocator, staging_buf, staging_alloc); + memcpy(dst, staging_buf.info.pMappedData, size); + + vk_device.destroyFence(fence); + ggml_vk_destroy_buffer(staging_buf); } } @@ -424,10 +567,10 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr if (src0->backend == GGML_BACKEND_GPU) { d_X = *(vk_buffer*) src0->data; } else { - ggml_vk_pool_malloc(ggml_type_size(src0->type) * x_ne, &d_X); + ggml_vk_pool_malloc(ggml_type_size(src0->type) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT); } - ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y); - ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D); + ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT); + ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT); vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, 3); vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); @@ -450,7 +593,8 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr std::array push_constants = { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }; assert( ( sizeof( push_constants ) <= vk_physical_device.getProperties().limits.maxPushConstantsSize ) && "Too many push constants" ); - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_compute); + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { @@ -476,7 +620,6 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr cmd_buffer.end(); vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); vk::SubmitInfo submit_info(0, nullptr, @@ -496,7 +639,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); -#if 0 +#ifdef VK_CHK_KERNEL const float * x = (float *) ((char *) src0->data); const float * y = (float *) ((char *) src1->data); float * d_chk = (float *) malloc(sizeof(float) * d_ne); @@ -519,11 +662,13 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr } } + vk_device.destroyFence(fence); + if (src0->backend != GGML_BACKEND_GPU) { - ggml_vk_pool_free(&d_X); + ggml_vk_pool_free(d_X); } - ggml_vk_pool_free(&d_Y); - ggml_vk_pool_free(&d_D); + ggml_vk_pool_free(d_Y); + ggml_vk_pool_free(d_D); } static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { diff --git a/llama-util.h b/llama-util.h index 042ebe43c48e1..8ece6d4379d90 100644 --- a/llama-util.h +++ b/llama-util.h @@ -497,6 +497,52 @@ struct llama_ctx_buffer { llama_ctx_buffer& operator=(const llama_ctx_buffer&) = delete; llama_ctx_buffer& operator=(llama_ctx_buffer&&) = delete; }; +#elif defined(GGML_USE_VULKAN) +#include "ggml-vulkan.h" +struct llama_ctx_buffer { + uint8_t * addr = NULL; + bool is_vk; + size_t size = 0; + + llama_ctx_buffer() = default; + + void resize(size_t size) { + free(); + + addr = (uint8_t *) ggml_vk_host_malloc(size); + if (addr) { + is_vk = true; + } + else { + // fall back to pageable memory + addr = new uint8_t[size]; + is_vk = false; + } + this->size = size; + } + + void free() { + if (addr) { + if (is_vk) { + ggml_vk_host_free(addr); + } + else { + delete[] addr; + } + } + addr = NULL; + } + + ~llama_ctx_buffer() { + free(); + } + + // disable copy and move + llama_ctx_buffer(const llama_ctx_buffer&) = delete; + llama_ctx_buffer(llama_ctx_buffer&&) = delete; + llama_ctx_buffer& operator=(const llama_ctx_buffer&) = delete; + llama_ctx_buffer& operator=(llama_ctx_buffer&&) = delete; +}; #else typedef llama_buffer llama_ctx_buffer; #endif From 3adc7b1d60376295cd591aa16ad4a48c3d021aa6 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 28 Jun 2023 07:36:56 +0200 Subject: [PATCH 015/142] First FP16 attempt, disabled for now --- Makefile | 3 +- ggml-vulkan.cpp | 636 +++++++++++++++--- vk_shaders/matmul_f16.spv | Bin 0 -> 2144 bytes .../matmul_f32.glsl | 0 4 files changed, 547 insertions(+), 92 deletions(-) create mode 100644 vk_shaders/matmul_f16.spv rename ggml-vulkan-matmul.comp => vk_shaders/matmul_f32.glsl (100%) diff --git a/Makefile b/Makefile index e6d8f9e00e4d9..d176453a2bcbc 100644 --- a/Makefile +++ b/Makefile @@ -220,7 +220,8 @@ ifdef LLAMA_VULKAN OBJS += ggml-vulkan.o ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h $(CXX) $(CXXFLAGS) -c $< -o $@ - glslc -fshader-stage=compute --target-env=vulkan1.2 -O ggml-vulkan-matmul.comp -o ggml-vulkan-matmul.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 -O vk_shaders/matmul_f32.glsl -o vk_shaders/matmul_f32.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 -O vk_shaders/matmul_f16.glsl -o vk_shaders/matmul_f16.spv endif ifneq ($(filter aarch64%,$(UNAME_M)),) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 6832653c4f2fd..9a6cf68dcbd23 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -3,6 +3,7 @@ #ifdef VK_CHK_KERNEL #include #include +#include #endif #include @@ -34,7 +35,6 @@ inline static void* ggml_aligned_malloc(size_t size, size_t alignment) { #include #include #include -#include #include #include @@ -44,6 +44,22 @@ inline static void* ggml_aligned_malloc(size_t size, size_t alignment) { #define CEIL_DIV(M, N) (((M) + (N)-1) / (N)) +struct vk_buffer { + vk::Buffer buffer; + VmaAllocation allocation; + VmaAllocationInfo info; + size_t size = 0; + // Staging buffers + vk_buffer * sb_write; + vk_buffer * sb_read; +}; + +struct vk_pipeline { + vk::DescriptorSetLayout dsl; + vk::PipelineLayout layout; + vk::Pipeline pipeline; +}; + vk::Instance vk_instance; uint32_t vk_compute_queue_family_index; uint32_t vk_transfer_queue_family_index; @@ -51,29 +67,71 @@ vk::PhysicalDevice vk_physical_device; vk::Device vk_device; vk::CommandPool vk_command_pool_compute, vk_command_pool_transfer; VmaAllocator vk_allocator; -vk::DescriptorSetLayout vk_pipeline_matmul_dsl; -vk::PipelineLayout vk_pipeline_matmul_layout; -vk::Pipeline vk_pipeline_matmul; +vk_pipeline vk_pipeline_matmul_f32, vk_pipeline_matmul_f16; VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; vk::Buffer vk_buffer_qa, vk_buffer_a, vk_buffer_b, vk_buffer_c; bool vk_fp16_support = false; -struct vk_buffer { - vk::Buffer buffer; - VmaAllocation allocation; - VmaAllocationInfo info; - size_t size = 0; -}; - static std::vector> vk_buf_list; +static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, const std::vector& dsl_binding, const vk::PushConstantRange& pcr) { + vk_pipeline pipeline; + + std::vector matmul_shader_contents; + if (std::ifstream shader_file{ path, std::ios::binary | std::ios::ate }) { + const size_t file_size = shader_file.tellg(); + shader_file.seekg(0); + matmul_shader_contents.resize(file_size, '\0'); + shader_file.read(matmul_shader_contents.data(), file_size); + } else { + std::cerr << "ggml_vulkan: Invalid shader path " << path << std::endl; + abort(); + } + + vk::ShaderModuleCreateInfo shader_module_create_info( + vk::ShaderModuleCreateFlags(), + matmul_shader_contents.size(), + reinterpret_cast(matmul_shader_contents.data()) + ); + vk::ShaderModule shader_module = vk_device.createShaderModule(shader_module_create_info); + + vk::DescriptorSetLayoutCreateInfo descriptor_set_layout_create_info( + vk::DescriptorSetLayoutCreateFlags(), + dsl_binding); + pipeline.dsl = vk_device.createDescriptorSetLayout(descriptor_set_layout_create_info); + + vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), pipeline.dsl, pcr); + pipeline.layout = vk_device.createPipelineLayout(pipeline_layout_create_info); + vk::PipelineCache pipeline_cache = vk_device.createPipelineCache(vk::PipelineCacheCreateInfo()); + + vk::PipelineShaderStageCreateInfo pipeline_shader_create_info( + vk::PipelineShaderStageCreateFlags(), + vk::ShaderStageFlagBits::eCompute, + shader_module, + entrypoint.c_str()); + vk::ComputePipelineCreateInfo compute_pipeline_create_info( + vk::PipelineCreateFlags(), + pipeline_shader_create_info, + pipeline.layout); + pipeline.pipeline = vk_device.createComputePipeline(pipeline_cache, compute_pipeline_create_info).value; + + return pipeline; +} + +void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k); +void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k); + void ggml_vk_init(void) { char* GGML_VULKAN_DEVICE = getenv("GGML_VULKAN_DEVICE"); int dev_num = (GGML_VULKAN_DEVICE == NULL ? 0 : atoi(GGML_VULKAN_DEVICE)); vk::ApplicationInfo app_info{ "ggml-vulkan", 1, nullptr, 0, VK_API_VERSION }; - const std::vector layers = { "VK_LAYER_KHRONOS_validation" }; + const std::vector layers = { +#ifdef GGML_DEBUG + "VK_LAYER_KHRONOS_validation", +#endif + }; vk::InstanceCreateInfo instance_create_info(vk::InstanceCreateFlags(), &app_info, layers.size(), layers.data()); vk_instance = vk::createInstance(instance_create_info); @@ -135,57 +193,35 @@ void ggml_vk_init(void) { vmaCreateAllocator(&allocator_info, &vk_allocator); // Shaders - std::vector matmul_shader_contents; - if (std::ifstream shader_file{ "ggml-vulkan-matmul.spv", std::ios::binary | std::ios::ate }) { - const size_t file_size = shader_file.tellg(); - shader_file.seekg(0); - matmul_shader_contents.resize(file_size, '\0'); - shader_file.read(matmul_shader_contents.data(), file_size); - } - - vk::ShaderModuleCreateInfo shader_module_create_info( - vk::ShaderModuleCreateFlags(), - matmul_shader_contents.size(), - reinterpret_cast(matmul_shader_contents.data()) - ); - vk::ShaderModule shader_module = vk_device.createShaderModule(shader_module_create_info); - - const std::vector descriptor_set_layout_binding = { + std::vector dsl_binding = { {0, vk::DescriptorType::eStorageBuffer, 1, vk::ShaderStageFlagBits::eCompute}, {1, vk::DescriptorType::eStorageBuffer, 1, vk::ShaderStageFlagBits::eCompute}, {2, vk::DescriptorType::eStorageBuffer, 1, vk::ShaderStageFlagBits::eCompute} }; - vk::DescriptorSetLayoutCreateInfo descriptor_set_layout_create_info( - vk::DescriptorSetLayoutCreateFlags(), - descriptor_set_layout_binding); - vk_pipeline_matmul_dsl = vk_device.createDescriptorSetLayout(descriptor_set_layout_create_info); - vk::PushConstantRange push_constant_range( + vk::PushConstantRange pcr( vk::ShaderStageFlagBits::eCompute, 0, 6 * sizeof(int) ); + vk_pipeline_matmul_f32 = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", dsl_binding, pcr); + vk_pipeline_matmul_f16 = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", dsl_binding, pcr); - vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), vk_pipeline_matmul_dsl, push_constant_range); - vk_pipeline_matmul_layout = vk_device.createPipelineLayout(pipeline_layout_create_info); - vk::PipelineCache pipeline_cache = vk_device.createPipelineCache(vk::PipelineCacheCreateInfo()); - - vk::PipelineShaderStageCreateInfo pipeline_shader_create_info( - vk::PipelineShaderStageCreateFlags(), - vk::ShaderStageFlagBits::eCompute, - shader_module, - "main"); - vk::ComputePipelineCreateInfo compute_pipeline_create_info( - vk::PipelineCreateFlags(), - pipeline_shader_create_info, - vk_pipeline_matmul_layout); - vk_pipeline_matmul = vk_device.createComputePipeline(pipeline_cache, compute_pipeline_create_info).value; - + // Command pools vk::CommandPoolCreateInfo command_pool_create_info_compute(vk::CommandPoolCreateFlags(), vk_compute_queue_family_index); vk_command_pool_compute = vk_device.createCommandPool(command_pool_create_info_compute); vk::CommandPoolCreateInfo command_pool_create_info_transfer(vk::CommandPoolCreateFlags(), vk_transfer_queue_family_index); vk_command_pool_transfer = vk_device.createCommandPool(command_pool_create_info_transfer); + + // for (size_t m = 1; m < 10; m++) { + // for (size_t n = 1; n < 10; n++) { + // for (size_t k = 1; k < 10; k++) { + // ggml_vk_test_matmul_f32(m * 128, n * 128, k * 128); + // ggml_vk_test_matmul_f16(m * 128, n * 128, k * 128); + // } + // } + // } } // buffer pool for vulkan @@ -233,12 +269,27 @@ static vk_buffer ggml_vk_create_buffer(size_t size, VmaAllocationCreateFlags all &buf.allocation, &buf.info); + buf.sb_write = nullptr; + buf.sb_read = nullptr; + return buf; } static void ggml_vk_destroy_buffer(vk_buffer& buf) { buf.size = 0; vmaDestroyBuffer(vk_allocator, buf.buffer, buf.allocation); + + // Cleanup staging buffers + if (buf.sb_write != nullptr) { + vmaDestroyBuffer(vk_allocator, buf.sb_write->buffer, buf.sb_write->allocation); + free(buf.sb_write); + buf.sb_write = nullptr; + } + if (buf.sb_read != nullptr) { + vmaDestroyBuffer(vk_allocator, buf.sb_read->buffer, buf.sb_read->allocation); + free(buf.sb_read); + buf.sb_read = nullptr; + } } static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf, VmaAllocationCreateFlags alloc_flags) { @@ -294,7 +345,7 @@ void* ggml_vk_host_malloc(size_t size) { return nullptr; } - vk_buffer buf = ggml_vk_create_buffer(size, VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_HOST, VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT | VK_MEMORY_PROPERTY_HOST_COHERENT_BIT | VK_MEMORY_PROPERTY_HOST_CACHED_BIT); + vk_buffer buf = ggml_vk_create_buffer(size, VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_HOST, VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT | VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, buf.allocation, &mem_prop_flags); @@ -307,8 +358,6 @@ void* ggml_vk_host_malloc(size_t size) { return nullptr; } - printf("allocate %.2f MB of pinned memory\n", size/1024.0/1024.0); - vk_buf_list.push_back(std::make_tuple(buf.info.pMappedData, size, buf)); return buf.info.pMappedData; @@ -347,9 +396,9 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src // Buffer is already mapped if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { - memcpy(dst->info.pMappedData, src, size); + memcpy((uint8_t *)dst->info.pMappedData + offset, src, size); if (!(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT)) { - vmaFlushAllocation(vk_allocator, dst->allocation, 0, VK_WHOLE_SIZE); + vmaFlushAllocation(vk_allocator, dst->allocation, offset, size); } } else { // Check if src is pinned memory @@ -379,26 +428,24 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src cmd_buffer.end(); vk::Queue queue = vk_device.getQueue(vk_transfer_queue_family_index, 0); - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); vk::SubmitInfo submit_info(0, nullptr, nullptr, 1, &cmd_buffer); - queue.submit({ submit_info }, fence); - vk_device.waitForFences({ fence }, - true, - uint64_t(-1)); - vk_device.destroyFence(fence); + queue.submit({ submit_info }, VK_NULL_HANDLE); return; } - // Staging buffer required - vk_buffer staging_buf = ggml_vk_create_buffer(size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO, 0); + // Staging buffer required, malloc because of async transfer + if (dst->sb_write == nullptr) { + dst->sb_write = (vk_buffer *) malloc(sizeof(vk_buffer)); + *dst->sb_write = ggml_vk_create_buffer(size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO, 0); + } - memcpy(((uint8_t *)staging_buf.info.pMappedData) + offset, src, size); - vmaFlushAllocation(vk_allocator, staging_buf.allocation, 0, VK_WHOLE_SIZE); + memcpy(((uint8_t *)dst->sb_write->info.pMappedData) + offset, src, size); + vmaFlushAllocation(vk_allocator, dst->sb_write->allocation, 0, VK_WHOLE_SIZE); VkBufferCopy buf_copy = { 0, // srcOffset offset, // dstOffset, @@ -407,24 +454,17 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_transfer); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); - vkCmdCopyBuffer(cmd_buffer, staging_buf.buffer, dst->buffer, 1, &buf_copy); + vkCmdCopyBuffer(cmd_buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); cmd_buffer.end(); vk::Queue queue = vk_device.getQueue(vk_transfer_queue_family_index, 0); - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); vk::SubmitInfo submit_info(0, nullptr, nullptr, 1, &cmd_buffer); - queue.submit({ submit_info }, fence); - vk_device.waitForFences({ fence }, - true, - uint64_t(-1)); - - vk_device.destroyFence(fence); - ggml_vk_destroy_buffer(staging_buf); + queue.submit({ submit_info }, VK_NULL_HANDLE); } } @@ -434,9 +474,9 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { if (!(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT)) { - vmaInvalidateAllocation(vk_allocator, src->allocation, 0, VK_WHOLE_SIZE); + vmaInvalidateAllocation(vk_allocator, src->allocation, offset, size); } - memcpy(dst, src->info.pMappedData, size); + memcpy(dst, (uint8_t *) src->info.pMappedData + offset, size); } else { // Check if dst is pinned memory vk_buffer* buf = nullptr; @@ -465,7 +505,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ cmd_buffer.end(); vk::Queue queue = vk_device.getQueue(vk_transfer_queue_family_index, 0); - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); vk::SubmitInfo submit_info(0, nullptr, @@ -476,25 +516,30 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ vk_device.waitForFences({ fence }, true, uint64_t(-1)); + vk_device.destroyFence(fence); return; } - vk_buffer staging_buf = ggml_vk_create_buffer(size, VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO, 0); + + if (src->sb_read == nullptr) { + src->sb_read = (vk_buffer *) malloc(sizeof(vk_buffer)); + *src->sb_read = ggml_vk_create_buffer(size, VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO, 0); + } VkBufferCopy buf_copy = { offset, // srcOffset 0, // dstOffset, size}; // size - vmaInvalidateAllocation(vk_allocator, staging_buf.allocation, 0, VK_WHOLE_SIZE); + vmaInvalidateAllocation(vk_allocator, src->sb_read->allocation, 0, VK_WHOLE_SIZE); vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_transfer); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); - vkCmdCopyBuffer(cmd_buffer, src->buffer, staging_buf.buffer, 1, &buf_copy); + vkCmdCopyBuffer(cmd_buffer, src->buffer, src->sb_read->buffer, 1, &buf_copy); cmd_buffer.end(); vk::Queue queue = vk_device.getQueue(vk_transfer_queue_family_index, 0); - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo{}); vk::SubmitInfo submit_info(0, nullptr, @@ -505,10 +550,11 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ vk_device.waitForFences({ fence }, true, uint64_t(-1)); - memcpy(dst, staging_buf.info.pMappedData, size); + memcpy(dst, src->sb_read->info.pMappedData, size); vk_device.destroyFence(fence); - ggml_vk_destroy_buffer(staging_buf); + ggml_vk_destroy_buffer(*src->sb_read); + src->sb_read = nullptr; } } @@ -555,8 +601,6 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; - const float alpha = 1.0f; - const float beta = 0.0f; const int x_ne = ne01 * ne00; const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; @@ -567,16 +611,16 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr if (src0->backend == GGML_BACKEND_GPU) { d_X = *(vk_buffer*) src0->data; } else { - ggml_vk_pool_malloc(ggml_type_size(src0->type) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT); + ggml_vk_pool_malloc(ggml_type_size(src0->type) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); } - ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT); - ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT); + ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, 3); vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); vk::DescriptorPool descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); - vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &vk_pipeline_matmul_dsl); + vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &vk_pipeline_matmul_f32.dsl); const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); vk::DescriptorSet descriptor_set = descriptor_sets.front(); vk::DescriptorBufferInfo d_X_buffer_info(d_X.buffer, 0, sizeof(float) * x_ne); @@ -605,14 +649,16 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02); // compute +#ifdef VK_CHK_KERNEL auto begin = std::chrono::high_resolution_clock::now(); +#endif vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); - cmd_buffer.pushConstants(vk_pipeline_matmul_layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); - cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, vk_pipeline_matmul); + cmd_buffer.pushConstants(vk_pipeline_matmul_f32.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); + cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, vk_pipeline_matmul_f32.pipeline); cmd_buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, - vk_pipeline_matmul_layout, + vk_pipeline_matmul_f32.layout, 0, { descriptor_set }, {}); @@ -626,14 +672,20 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr nullptr, 1, &cmd_buffer); + + // Wait for transfers to finish + vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); + queue.submit({ submit_info }, fence); vk_device.waitForFences({ fence }, true, uint64_t(-1)); +#ifdef VK_CHK_KERNEL auto end = std::chrono::high_resolution_clock::now(); std::cout << "m=" << ne01 << " n=" << ne11 << " k=" << ne10 << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms" << std::endl; +#endif // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); @@ -671,6 +723,165 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pool_free(d_D); } +static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, void * wdata) { + GGML_ASSERT(vk_fp16_support); + + GGML_ASSERT(src0->type == GGML_TYPE_F16); + GGML_ASSERT(src1->type == GGML_TYPE_F32); + + const int64_t ne00 = src0->ne[0]; + const int64_t ne01 = src0->ne[1]; + const int64_t ne02 = src0->ne[2]; + const int64_t ne03 = src0->ne[3]; + + const int64_t ne10 = src1->ne[0]; + const int64_t ne11 = src1->ne[1]; + + const int nb00 = src0->nb[0]; + const int nb01 = src0->nb[1]; + const int nb02 = src0->nb[2]; + const int nb03 = src0->nb[3]; + + const int nb2 = dst->nb[2]; + const int nb3 = dst->nb[3]; + + const int x_ne = ne01 * ne00; + const int y_ne = ne11 * ne10; + const int d_ne = ne11 * ne01; + + vk_buffer d_X; + vk_buffer d_Y; + vk_buffer d_D; + if (src0->backend == GGML_BACKEND_GPU) { + d_X = *(vk_buffer*) src0->data; + } else { + ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + } + ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + + bool src0_cont_rows = nb00 == sizeof(float); + bool src0_cont_cols = (size_t)nb01 == ne01*sizeof(float); + + vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, 3); + vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); + vk::DescriptorPool descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); + + vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &vk_pipeline_matmul_f16.dsl); + const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); + vk::DescriptorSet descriptor_set = descriptor_sets.front(); + vk::DescriptorBufferInfo d_X_buffer_info(d_X.buffer, 0, sizeof(float) * x_ne); + vk::DescriptorBufferInfo d_Y_buffer_info(d_Y.buffer, 0, sizeof(float) * y_ne); + vk::DescriptorBufferInfo d_D_buffer_info(d_D.buffer, 0, sizeof(float) * d_ne); + + const std::vector write_descriptor_sets = { + {descriptor_set, 0, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_X_buffer_info}, + {descriptor_set, 1, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_Y_buffer_info}, + {descriptor_set, 2, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_D_buffer_info}, + }; + vk_device.updateDescriptorSets(write_descriptor_sets, {}); + + std::array push_constants = { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }; + assert( ( sizeof( push_constants ) <= vk_physical_device.getProperties().limits.maxPushConstantsSize ) && "Too many push constants" ); + + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_compute); + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + + for (int64_t i03 = 0; i03 < ne03; i03++) { + for (int64_t i02 = 0; i02 < ne02; i02++) { + // copy data to device + if (src1->backend != GGML_BACKEND_GPU) { + ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02); + } + // convert src1 to fp16 + // TODO: use multiple threads + float * const tmp = (float *) wdata + (ne11 * ne10) * (i03 * ne02 + i02); + char * src0i = (char *) src0->data + i03*nb03 + i02*nb02; + if (src0_cont_rows) { + if (src0_cont_cols) { + ggml_fp16_to_fp32_row((ggml_fp16_t *) src0i, tmp, ne00*ne01); + } + else { + for (int64_t i01 = 0; i01 < ne01; i01++) { + ggml_fp16_to_fp32_row((ggml_fp16_t *) (src0i + i01*nb01), tmp + i01*ne00, ne00); + } + } + } + else { + for (int64_t i01 = 0; i01 < ne01; i01++) { + for (int64_t i00 = 0; i00 < ne00; i00++) { + // very slow due to no inlining + tmp[i01*ne10 + i00] = ggml_fp16_to_fp32(*(ggml_fp16_t *) (src0i + i01*nb01 + i00*nb00)); + } + } + } + ggml_vk_buffer_write(&d_X, 0, tmp, sizeof(float) * x_ne); + + // compute +#ifdef VK_CHK_KERNEL + auto begin = std::chrono::high_resolution_clock::now(); +#endif + + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); + cmd_buffer.begin(cmd_buffer_begin_info); + cmd_buffer.pushConstants(vk_pipeline_matmul_f32.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); + cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, vk_pipeline_matmul_f32.pipeline); + cmd_buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, + vk_pipeline_matmul_f32.layout, + 0, + { descriptor_set }, + {}); + cmd_buffer.dispatch(CEIL_DIV(ne01, 128), CEIL_DIV(ne11, 128), 1); + cmd_buffer.end(); + + vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); + + vk::SubmitInfo submit_info(0, + nullptr, + nullptr, + 1, + &cmd_buffer); + + // Wait for transfers to finish + vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); + + queue.submit({ submit_info }, fence); + vk_device.waitForFences({ fence }, + true, + uint64_t(-1)); + +#ifdef VK_CHK_KERNEL + auto end = std::chrono::high_resolution_clock::now(); + + std::cout << "m=" << ne01 << " n=" << ne11 << " k=" << ne10 << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms" << std::endl; +#endif + + // copy dst to host + float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + ggml_vk_buffer_read(&d_D, 0, tmp, sizeof(float) * d_ne); + +#ifdef VK_CHK_KERNEL + for (size_t i = 0; i < d_ne; i++) { + if (std::fabs(tmp[i] - d[i]) > 0.01f) { + printf("d[%ld] = %f d_chk[%ld] = %f\n", i, tmp[i], i, d[i]); + abort(); + } + } +#else + // ggml_fp16_to_fp32_row(tmp, d, d_ne); +#endif + } + } + + vk_device.destroyFence(fence); + + if (src0->backend != GGML_BACKEND_GPU) { + ggml_vk_pool_free(d_X); + } + ggml_vk_pool_free(d_Y); + ggml_vk_pool_free(d_D); +} + static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { assert(false); // const int64_t ne00 = src0->ne[0]; @@ -841,7 +1052,7 @@ void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * } else if (src0->type == GGML_TYPE_F16) { if (ggml_vk_mul_mat_use_f16(src0, src1, dst)) { - // ggml_vk_mul_mat_f16(src0, src1, dst, wdata, wsize); + ggml_vk_mul_mat_f16(src0, src1, dst, wdata); } else { ggml_vk_mul_mat_q_f32(src0, src1, dst); @@ -861,3 +1072,246 @@ size_t ggml_vk_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct g } return 0; } + +#ifdef VK_CHK_KERNEL +void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { + const size_t x_ne = m * k; + const size_t y_ne = k * n; + const size_t d_ne = m * n; + + vk_buffer d_X; + vk_buffer d_Y; + vk_buffer d_D; + ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + + vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, 3); + vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); + vk::DescriptorPool descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); + + vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &vk_pipeline_matmul_f32.dsl); + const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); + vk::DescriptorSet descriptor_set = descriptor_sets.front(); + vk::DescriptorBufferInfo d_X_buffer_info(d_X.buffer, 0, sizeof(float) * x_ne); + vk::DescriptorBufferInfo d_Y_buffer_info(d_Y.buffer, 0, sizeof(float) * y_ne); + vk::DescriptorBufferInfo d_D_buffer_info(d_D.buffer, 0, sizeof(float) * d_ne); + + const std::vector write_descriptor_sets = { + {descriptor_set, 0, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_X_buffer_info}, + {descriptor_set, 1, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_Y_buffer_info}, + {descriptor_set, 2, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_D_buffer_info}, + }; + vk_device.updateDescriptorSets(write_descriptor_sets, {}); + + std::array push_constants = { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }; + assert( ( sizeof( push_constants ) <= vk_physical_device.getProperties().limits.maxPushConstantsSize ) && "Too many push constants" ); + + float* x = (float *) malloc(sizeof(float) * x_ne); + float* y = (float *) malloc(sizeof(float) * y_ne); + float* d = (float *) malloc(sizeof(float) * d_ne); + + for (size_t i = 0; i < x_ne; i++) { + x[i] = rand() / (float)RAND_MAX; + } + for (size_t i = 0; i < y_ne; i++) { + y[i] = rand() / (float)RAND_MAX; + } + + ggml_vk_buffer_write(&d_X, 0, x, sizeof(float) * x_ne); + ggml_vk_buffer_write(&d_Y, 0, y, sizeof(float) * y_ne); + + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_compute); + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + + // compute + auto begin = std::chrono::high_resolution_clock::now(); + + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); + cmd_buffer.begin(cmd_buffer_begin_info); + cmd_buffer.pushConstants(vk_pipeline_matmul_f32.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); + cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, vk_pipeline_matmul_f32.pipeline); + cmd_buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, + vk_pipeline_matmul_f32.layout, + 0, + { descriptor_set }, + {}); + cmd_buffer.dispatch(CEIL_DIV(m, 128), CEIL_DIV(n, 128), 1); + cmd_buffer.end(); + + vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); + + vk::SubmitInfo submit_info(0, + nullptr, + nullptr, + 1, + &cmd_buffer); + + // Wait for transfers to finish + vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); + + queue.submit({ submit_info }, fence); + vk_device.waitForFences({ fence }, + true, + uint64_t(-1)); + + auto end = std::chrono::high_resolution_clock::now(); + + // copy dst to host + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); + + float * d_chk = (float *) malloc(sizeof(float) * d_ne); + + cblas_sgemm(CblasColMajor, CblasTrans, CblasNoTrans, + m, n, k, + 1.0f, x, k, + y, k, + 0.0f, d_chk, m); + + double avg_err = 0.0; + + for (size_t r = 0; r < m; r++) { + for (size_t c = 0; c < n; c++) { + avg_err += std::fabs(d[c * m + r] - d_chk[c * m + r]); + } + } + + std::cout << "TEST FP32 m=" << m << " n=" << n << " k=" << k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms avg_err=" << avg_err / (m * n) << std::endl; + + free(d_chk); + + vk_device.destroyFence(fence); + + ggml_vk_pool_free(d_X); + ggml_vk_pool_free(d_Y); + ggml_vk_pool_free(d_D); + + free(x); + free(y); + free(d); +} + +void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { + const size_t x_ne = m * k; + const size_t y_ne = k * n; + const size_t d_ne = m * n; + + vk_buffer d_X; + vk_buffer d_Y; + vk_buffer d_D; + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + + vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, 3); + vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); + vk::DescriptorPool descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); + + vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &vk_pipeline_matmul_f32.dsl); + const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); + vk::DescriptorSet descriptor_set = descriptor_sets.front(); + vk::DescriptorBufferInfo d_X_buffer_info(d_X.buffer, 0, sizeof(ggml_fp16_t) * x_ne); + vk::DescriptorBufferInfo d_Y_buffer_info(d_Y.buffer, 0, sizeof(ggml_fp16_t) * y_ne); + vk::DescriptorBufferInfo d_D_buffer_info(d_D.buffer, 0, sizeof(ggml_fp16_t) * d_ne); + + const std::vector write_descriptor_sets = { + {descriptor_set, 0, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_X_buffer_info}, + {descriptor_set, 1, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_Y_buffer_info}, + {descriptor_set, 2, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_D_buffer_info}, + }; + vk_device.updateDescriptorSets(write_descriptor_sets, {}); + + std::array push_constants = { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }; + assert( ( sizeof( push_constants ) <= vk_physical_device.getProperties().limits.maxPushConstantsSize ) && "Too many push constants" ); + + ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * x_ne); + ggml_fp16_t* y = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * y_ne); + ggml_fp16_t* d = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * d_ne); + + for (size_t i = 0; i < x_ne; i++) { + x[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); + } + for (size_t i = 0; i < y_ne; i++) { + y[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); + } + + ggml_vk_buffer_write(&d_X, 0, x, sizeof(ggml_fp16_t) * x_ne); + ggml_vk_buffer_write(&d_Y, 0, y, sizeof(ggml_fp16_t) * y_ne); + + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_compute); + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + + // compute + auto begin = std::chrono::high_resolution_clock::now(); + + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); + cmd_buffer.begin(cmd_buffer_begin_info); + cmd_buffer.pushConstants(vk_pipeline_matmul_f32.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); + cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, vk_pipeline_matmul_f32.pipeline); + cmd_buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, + vk_pipeline_matmul_f32.layout, + 0, + { descriptor_set }, + {}); + cmd_buffer.dispatch(CEIL_DIV(m, 32), CEIL_DIV(n, 32), 1); + cmd_buffer.end(); + + vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); + + vk::SubmitInfo submit_info(0, + nullptr, + nullptr, + 1, + &cmd_buffer); + + // Wait for transfers to finish + vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); + + queue.submit({ submit_info }, fence); + vk_device.waitForFences({ fence }, + true, + uint64_t(-1)); + + auto end = std::chrono::high_resolution_clock::now(); + + // copy dst to host + ggml_vk_buffer_read(&d_D, 0, d, sizeof(ggml_fp16_t) * d_ne); + + float * fx = (float *) malloc(sizeof(float) * x_ne); + float * fy = (float *) malloc(sizeof(float) * y_ne); + float * d_chk = (float *) malloc(sizeof(float) * d_ne); + + ggml_fp16_to_fp32_row(x, fx, x_ne); + ggml_fp16_to_fp32_row(y, fy, y_ne); + + cblas_sgemm(CblasColMajor, CblasTrans, CblasNoTrans, + m, n, k, + 1.0f, fx, k, + fy, k, + 0.0f, d_chk, m); + + double avg_err = 0.0; + + for (size_t r = 0; r < m; r++) { + for (size_t c = 0; c < n; c++) { + avg_err += std::fabs(ggml_fp16_to_fp32(d[c * m + r]) - d_chk[c * m + r]); + } + } + + std::cout << "TEST FP16 m=" << m << " n=" << n << " k=" << k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms avg_err=" << avg_err / (m * n) << std::endl; + + free(fx); + free(fy); + free(d_chk); + + vk_device.destroyFence(fence); + + ggml_vk_pool_free(d_X); + ggml_vk_pool_free(d_Y); + ggml_vk_pool_free(d_D); + + free(x); + free(y); + free(d); +} +#endif diff --git a/vk_shaders/matmul_f16.spv b/vk_shaders/matmul_f16.spv new file mode 100644 index 0000000000000000000000000000000000000000..a52c8f676765148d8f96ce795b26684721d894ac GIT binary patch literal 2144 zcmZvcSx;0!5QQ6%MRvlbvUmq@#Sk=#D57A%0l^g$BWeUgR5bdck3RU|AM(e!CMJI0 zOc%Kic54sGx!w|I-*N+>%AQ~N3vA8}b%-~#W4POYOD2VFaLu&$H=MSUR>9BBy;LI&$sEYehh29eB`I_?PZAF zOk;g#=JaQPBWmaHJ)<#deP`B;<1b*1UE>bkzK&|Swj zR`+(UlT+7tBXgm9huH7M{j3r3A)e!cG=;2OSz#jNXD%YP>JPW+FNi#dMZ&T);HGl(xAbB6Hc zoa6nDgAp(aoTKh>ApeaT-&O%!Oa3R_PGB8>s4uV;Am<+RL;D22+P<04K8Y_M+NbdC zN&YwULr42Pwbs@@jb8xI$9mVWkF!{ZeOPk_$k~U!db2s!s^=ZQ1-?~l9)t71oO|B~ zo`tz5z+CL-GQRuqUB`ar@#SMbSMb%4|3P0DuxdE$)4Z{~eU|l?;MDiMhyF7D68OsQ z?e8Y&1M*)ow~~3+U8ZUkdkgp-xfk>5x%VnC7kj#k@0xxKvF1H|`B?KlzIP-aYd*x6 zFR!^p>^J6`=3~uA_~ttKkFp2Pya9Ly_G8{V32o0^-6>GML+hjO9en%t+l#(;@pnM< o{Sx24^E)S=CAX% Date: Wed, 28 Jun 2023 20:18:55 +0200 Subject: [PATCH 016/142] Code abstraction, FP16 implementation, fix kernel, add FP16 to FP32 kernel --- Makefile | 1 + ggml-vulkan.cpp | 579 +++++++++++++++---------------------- vk_shaders/f16_to_f32.glsl | 21 ++ vk_shaders/matmul_f16.glsl | 100 +++++++ vk_shaders/matmul_f16.spv | Bin 2144 -> 0 bytes 5 files changed, 361 insertions(+), 340 deletions(-) create mode 100644 vk_shaders/f16_to_f32.glsl create mode 100644 vk_shaders/matmul_f16.glsl delete mode 100644 vk_shaders/matmul_f16.spv diff --git a/Makefile b/Makefile index d176453a2bcbc..539504be8b89d 100644 --- a/Makefile +++ b/Makefile @@ -222,6 +222,7 @@ ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h $(CXX) $(CXXFLAGS) -c $< -o $@ glslc -fshader-stage=compute --target-env=vulkan1.2 -O vk_shaders/matmul_f32.glsl -o vk_shaders/matmul_f32.spv glslc -fshader-stage=compute --target-env=vulkan1.2 -O vk_shaders/matmul_f16.glsl -o vk_shaders/matmul_f16.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 -O vk_shaders/f16_to_f32.glsl -o vk_shaders/f16_to_f32.spv endif ifneq ($(filter aarch64%,$(UNAME_M)),) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 9a6cf68dcbd23..3f5d4c85a83e1 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -58,6 +58,9 @@ struct vk_pipeline { vk::DescriptorSetLayout dsl; vk::PipelineLayout layout; vk::Pipeline pipeline; + uint32_t push_constant_size; + uint32_t parameter_count; + std::array wg_denoms; }; vk::Instance vk_instance; @@ -68,6 +71,7 @@ vk::Device vk_device; vk::CommandPool vk_command_pool_compute, vk_command_pool_transfer; VmaAllocator vk_allocator; vk_pipeline vk_pipeline_matmul_f32, vk_pipeline_matmul_f16; +vk_pipeline vk_pipeline_f16_to_f32; VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; vk::Buffer vk_buffer_qa, vk_buffer_a, vk_buffer_b, vk_buffer_c; @@ -75,9 +79,22 @@ bool vk_fp16_support = false; static std::vector> vk_buf_list; -static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, const std::vector& dsl_binding, const vk::PushConstantRange& pcr) { +static vk::CommandBuffer ggml_vk_cmd_buffer_create(vk::CommandPool& pool) { + vk::CommandBufferAllocateInfo command_buffer_alloc_info( + pool, + vk::CommandBufferLevel::ePrimary, + 1); + const std::vector cmd_buffers = vk_device.allocateCommandBuffers(command_buffer_alloc_info); + return cmd_buffers.front(); +} + +static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_count, std::array wg_denoms) { vk_pipeline pipeline; + pipeline.parameter_count = parameter_count; + pipeline.push_constant_size = push_constant_count * sizeof(int); + pipeline.wg_denoms = wg_denoms; + std::vector matmul_shader_contents; if (std::ifstream shader_file{ path, std::ios::binary | std::ios::ate }) { const size_t file_size = shader_file.tellg(); @@ -96,6 +113,17 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s ); vk::ShaderModule shader_module = vk_device.createShaderModule(shader_module_create_info); + std::vector dsl_binding; + for (uint32_t i = 0; i < parameter_count; i++) { + dsl_binding.push_back({i, vk::DescriptorType::eStorageBuffer, 1, vk::ShaderStageFlagBits::eCompute}); + } + + vk::PushConstantRange pcr( + vk::ShaderStageFlagBits::eCompute, + 0, + pipeline.push_constant_size + ); + vk::DescriptorSetLayoutCreateInfo descriptor_set_layout_create_info( vk::DescriptorSetLayoutCreateFlags(), dsl_binding); @@ -119,6 +147,55 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s return pipeline; } +static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector buffers, std::vector push_constants, std::array elements, vk::Fence& fence) { + vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline.parameter_count); + vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); + vk::DescriptorPool descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); + + vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &pipeline.dsl); + const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); + vk::DescriptorSet descriptor_set = descriptor_sets.front(); + + std::vector descriptor_buffer_infos; + std::vector write_descriptor_sets; + for (uint32_t i = 0; i < pipeline.parameter_count; i++) { + descriptor_buffer_infos.push_back({buffers[i]->buffer, 0, buffers[i]->size}); + } + for (uint32_t i = 0; i < pipeline.parameter_count; i++) { + write_descriptor_sets.push_back({descriptor_set, i, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &descriptor_buffer_infos[i]}); + } + + vk_device.updateDescriptorSets(write_descriptor_sets, {}); + + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_compute); + + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); + cmd_buffer.begin(cmd_buffer_begin_info); + cmd_buffer.pushConstants(pipeline.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); + cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, pipeline.pipeline); + cmd_buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, + pipeline.layout, + 0, + { descriptor_set }, + + {}); + cmd_buffer.dispatch(CEIL_DIV(elements[0], pipeline.wg_denoms[0]), CEIL_DIV(elements[1], pipeline.wg_denoms[1]), CEIL_DIV(elements[2], pipeline.wg_denoms[2])); + cmd_buffer.end(); + + vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); + + vk::SubmitInfo submit_info(0, + nullptr, + nullptr, + 1, + &cmd_buffer); + + // Wait for transfers to finish + vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); + + queue.submit({ submit_info }, fence); +} + void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k); void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k); @@ -128,9 +205,7 @@ void ggml_vk_init(void) { vk::ApplicationInfo app_info{ "ggml-vulkan", 1, nullptr, 0, VK_API_VERSION }; const std::vector layers = { -#ifdef GGML_DEBUG "VK_LAYER_KHRONOS_validation", -#endif }; vk::InstanceCreateInfo instance_create_info(vk::InstanceCreateFlags(), &app_info, layers.size(), layers.data()); vk_instance = vk::createInstance(instance_create_info); @@ -193,19 +268,10 @@ void ggml_vk_init(void) { vmaCreateAllocator(&allocator_info, &vk_allocator); // Shaders - std::vector dsl_binding = { - {0, vk::DescriptorType::eStorageBuffer, 1, vk::ShaderStageFlagBits::eCompute}, - {1, vk::DescriptorType::eStorageBuffer, 1, vk::ShaderStageFlagBits::eCompute}, - {2, vk::DescriptorType::eStorageBuffer, 1, vk::ShaderStageFlagBits::eCompute} - }; + vk_pipeline_matmul_f32 = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 6, {128, 128, 1}); + vk_pipeline_matmul_f16 = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 6, {128, 128, 1}); - vk::PushConstantRange pcr( - vk::ShaderStageFlagBits::eCompute, - 0, - 6 * sizeof(int) - ); - vk_pipeline_matmul_f32 = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", dsl_binding, pcr); - vk_pipeline_matmul_f16 = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", dsl_binding, pcr); + vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 1, {32, 1, 1}); // Command pools vk::CommandPoolCreateInfo command_pool_create_info_compute(vk::CommandPoolCreateFlags(), vk_compute_queue_family_index); @@ -214,14 +280,35 @@ void ggml_vk_init(void) { vk::CommandPoolCreateInfo command_pool_create_info_transfer(vk::CommandPoolCreateFlags(), vk_transfer_queue_family_index); vk_command_pool_transfer = vk_device.createCommandPool(command_pool_create_info_transfer); - // for (size_t m = 1; m < 10; m++) { - // for (size_t n = 1; n < 10; n++) { - // for (size_t k = 1; k < 10; k++) { - // ggml_vk_test_matmul_f32(m * 128, n * 128, k * 128); - // ggml_vk_test_matmul_f16(m * 128, n * 128, k * 128); - // } - // } - // } +#ifdef VK_CHK_KERNEL + for (size_t m = 1; m < 10; m++) { + for (size_t n = 1; n < 10; n++) { + for (size_t k = 1; k < 10; k++) { + ggml_vk_test_matmul_f32(m * 128, n * 128, k * 128); + ggml_vk_test_matmul_f16(m * 128, n * 128, k * 128); + } + } + } +#endif +} + +static vk_pipeline* ggml_get_to_fp32_vk(ggml_type type) { + switch (type) { + // case GGML_TYPE_Q4_0: + // return &dequantize_row_q4_0_cl; + // case GGML_TYPE_Q4_1: + // return &dequantize_row_q4_1_cl; + // case GGML_TYPE_Q5_0: + // return &dequantize_row_q5_0_cl; + // case GGML_TYPE_Q5_1: + // return &dequantize_row_q5_1_cl; + // case GGML_TYPE_Q8_0: + // return &dequantize_row_q8_0_cl; + case GGML_TYPE_F16: + return &vk_pipeline_f16_to_f32; + default: + return nullptr; + } } // buffer pool for vulkan @@ -381,15 +468,6 @@ void ggml_vk_host_free(void* ptr) { ggml_vk_destroy_buffer(*buf); } -static vk::CommandBuffer ggml_vk_cmd_buffer_create(vk::CommandPool& pool) { - vk::CommandBufferAllocateInfo command_buffer_alloc_info( - pool, - vk::CommandBufferLevel::ePrimary, - 1); - const std::vector cmd_buffers = vk_device.allocateCommandBuffers(command_buffer_alloc_info); - return cmd_buffers.front(); -} - static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src, size_t size) { VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); @@ -616,30 +694,6 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, 3); - vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); - vk::DescriptorPool descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); - - vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &vk_pipeline_matmul_f32.dsl); - const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); - vk::DescriptorSet descriptor_set = descriptor_sets.front(); - vk::DescriptorBufferInfo d_X_buffer_info(d_X.buffer, 0, sizeof(float) * x_ne); - vk::DescriptorBufferInfo d_Y_buffer_info(d_Y.buffer, 0, sizeof(float) * y_ne); - vk::DescriptorBufferInfo d_D_buffer_info(d_D.buffer, 0, sizeof(float) * d_ne); - - const std::vector write_descriptor_sets = { - {descriptor_set, 0, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_X_buffer_info}, - {descriptor_set, 1, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_Y_buffer_info}, - {descriptor_set, 2, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_D_buffer_info}, - }; - vk_device.updateDescriptorSets(write_descriptor_sets, {}); - - std::array push_constants = { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }; - assert( ( sizeof( push_constants ) <= vk_physical_device.getProperties().limits.maxPushConstantsSize ) && "Too many push constants" ); - - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_compute); - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); - for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { // copy data to device @@ -649,34 +703,16 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02); // compute + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); #ifdef VK_CHK_KERNEL auto begin = std::chrono::high_resolution_clock::now(); #endif - vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); - cmd_buffer.begin(cmd_buffer_begin_info); - cmd_buffer.pushConstants(vk_pipeline_matmul_f32.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); - cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, vk_pipeline_matmul_f32.pipeline); - cmd_buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, - vk_pipeline_matmul_f32.layout, - 0, - { descriptor_set }, - {}); - cmd_buffer.dispatch(CEIL_DIV(ne01, 128), CEIL_DIV(ne11, 128), 1); - cmd_buffer.end(); - - vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); - - vk::SubmitInfo submit_info(0, - nullptr, - nullptr, - 1, - &cmd_buffer); - // Wait for transfers to finish vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); - queue.submit({ submit_info }, fence); + ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, fence); + vk_device.waitForFences({ fence }, true, uint64_t(-1)); @@ -687,6 +723,8 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr std::cout << "m=" << ne01 << " n=" << ne11 << " k=" << ne10 << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms" << std::endl; #endif + vk_device.destroyFence(fence); + // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); @@ -714,8 +752,6 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr } } - vk_device.destroyFence(fence); - if (src0->backend != GGML_BACKEND_GPU) { ggml_vk_pool_free(d_X); } @@ -763,30 +799,6 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr bool src0_cont_rows = nb00 == sizeof(float); bool src0_cont_cols = (size_t)nb01 == ne01*sizeof(float); - vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, 3); - vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); - vk::DescriptorPool descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); - - vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &vk_pipeline_matmul_f16.dsl); - const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); - vk::DescriptorSet descriptor_set = descriptor_sets.front(); - vk::DescriptorBufferInfo d_X_buffer_info(d_X.buffer, 0, sizeof(float) * x_ne); - vk::DescriptorBufferInfo d_Y_buffer_info(d_Y.buffer, 0, sizeof(float) * y_ne); - vk::DescriptorBufferInfo d_D_buffer_info(d_D.buffer, 0, sizeof(float) * d_ne); - - const std::vector write_descriptor_sets = { - {descriptor_set, 0, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_X_buffer_info}, - {descriptor_set, 1, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_Y_buffer_info}, - {descriptor_set, 2, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_D_buffer_info}, - }; - vk_device.updateDescriptorSets(write_descriptor_sets, {}); - - std::array push_constants = { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }; - assert( ( sizeof( push_constants ) <= vk_physical_device.getProperties().limits.maxPushConstantsSize ) && "Too many push constants" ); - - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_compute); - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); - for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { // copy data to device @@ -818,34 +830,12 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_buffer_write(&d_X, 0, tmp, sizeof(float) * x_ne); // compute + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); #ifdef VK_CHK_KERNEL auto begin = std::chrono::high_resolution_clock::now(); #endif - vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); - cmd_buffer.begin(cmd_buffer_begin_info); - cmd_buffer.pushConstants(vk_pipeline_matmul_f32.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); - cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, vk_pipeline_matmul_f32.pipeline); - cmd_buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, - vk_pipeline_matmul_f32.layout, - 0, - { descriptor_set }, - {}); - cmd_buffer.dispatch(CEIL_DIV(ne01, 128), CEIL_DIV(ne11, 128), 1); - cmd_buffer.end(); - - vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); - - vk::SubmitInfo submit_info(0, - nullptr, - nullptr, - 1, - &cmd_buffer); - - // Wait for transfers to finish - vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); - - queue.submit({ submit_info }, fence); + ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, fence); vk_device.waitForFences({ fence }, true, uint64_t(-1)); @@ -856,9 +846,11 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr std::cout << "m=" << ne01 << " n=" << ne11 << " k=" << ne10 << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms" << std::endl; #endif + vk_device.destroyFence(fence); + // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_buffer_read(&d_D, 0, tmp, sizeof(float) * d_ne); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); #ifdef VK_CHK_KERNEL for (size_t i = 0; i < d_ne; i++) { @@ -873,8 +865,6 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } } - vk_device.destroyFence(fence); - if (src0->backend != GGML_BACKEND_GPU) { ggml_vk_pool_free(d_X); } @@ -883,127 +873,117 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - assert(false); -// const int64_t ne00 = src0->ne[0]; -// const int64_t ne01 = src0->ne[1]; -// const int64_t ne02 = src0->ne[2]; -// const int64_t ne03 = src0->ne[3]; -// -// const int64_t ne10 = src1->ne[0]; -// const int64_t ne11 = src1->ne[1]; -// -// const int nb2 = dst->nb[2]; -// const int nb3 = dst->nb[3]; -// const ggml_type type = src0->type; -// const bool mul_mat_vec = ne11 == 1; -// -// const float alpha = 1.0f; -// const float beta = 0.0f; -// const int x_ne = ne01 * ne00; -// const int y_ne = ne11 * ne10; -// const int d_ne = ne11 * ne01; -// const size_t q_sz = ggml_type_size(type) * x_ne / ggml_blck_size(type); -// -// size_t x_size; -// size_t y_size; -// size_t d_size; -// size_t q_size; -// vk_buffer d_X; -// if (!mul_mat_vec) { -// d_X = ggml_vk_pool_malloc(sizeof(float) * x_ne, &x_size); -// } -// vk_buffer d_Y = ggml_vk_pool_malloc(sizeof(float) * y_ne, &y_size); -// vk_buffer d_D = ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_size); -// vk_buffer d_Q; -// if (src0->backend == GGML_BACKEND_CPU) { -// d_Q = ggml_vk_pool_malloc(q_sz, &q_size); -// } -// -// vk_kernel* to_fp32_vk = ggml_get_to_fp32_vk(type); -// vk_kernel* dmmv = ggml_get_dequantize_mul_mat_vec_vk(type); -// GGML_ASSERT(to_fp32_vk != nullptr); -// -// size_t ev_idx = 0; -// std::vector events; -// -// for (int64_t i03 = 0; i03 < ne03; i03++) { -// for (int64_t i02 = 0; i02 < ne02; i02++) { -// // copy src0 to device if necessary -// if (src0->backend == GGML_BACKEND_CPU) { -// events.emplace_back(); -// VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Q, 0, src0, i03, i02, events.data() + ev_idx++)); -// } else if (src0->backend == GGML_BACKEND_GPU) { -// d_Q = (vk_buffer) src0->data; -// } else { -// GGML_ASSERT(false); -// } -// if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel -// // copy src1 to device -// events.emplace_back(); -// VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Y, 0, src1, i03, i02, events.data() + ev_idx++)); -// -// // compute -// const size_t global = ne01 * VK_DMMV_BLOCK_SIZE; -// const size_t local = VK_DMMV_BLOCK_SIZE; -// const vk_int ncols = ne00; -// events.emplace_back(); -// VK_CHECK(vkSetKernelArg(*dmmv, 0, sizeof(vk_buffer), &d_Q)); -// VK_CHECK(vkSetKernelArg(*dmmv, 1, sizeof(float) * local, NULL)); -// VK_CHECK(vkSetKernelArg(*dmmv, 2, sizeof(vk_buffer), &d_Y)); -// VK_CHECK(vkSetKernelArg(*dmmv, 3, sizeof(vk_buffer), &d_D)); -// VK_CHECK(vkSetKernelArg(*dmmv, 4, sizeof(vk_int), &ncols)); -// VK_CHECK(vkEnqueueNDRangeKernel(queue, *dmmv, 1, NULL, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++)); -// } else { // general dequantization kernel + VKBlast matrix matrix multiplication -// // convert src0 to fp32 on device -// const size_t global = x_ne; -// VK_CHECK(vkSetKernelArg(*to_fp32_vk, 0, sizeof(vk_buffer), &d_Q)); -// VK_CHECK(vkSetKernelArg(*to_fp32_vk, 1, sizeof(vk_buffer), &d_X)); -// VK_CHECK(vkEnqueueNDRangeKernel(queue, *to_fp32_vk, 1, NULL, &global, NULL, events.size(), !events.empty() ? events.data() : NULL, NULL)); -// -// // copy src1 to device -// VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Y, 0, src1, i03, i02, NULL)); -// -// events.emplace_back(); -// -// // wait for conversion -// VK_CHECK(vkFinish(queue)); -// -// // compute -// vkblast::StatusCode status = vkblast::Gemm(vkblast::Layout::kColMajor, -// vkblast::Transpose::kYes, vkblast::Transpose::kNo, -// ne01, ne11, ne10, -// alpha, -// d_X, 0, ne00, -// d_Y, 0, ne10, -// beta, -// d_D, 0, ne01, -// &queue, events.data() + ev_idx++); -// -// if (status != vkblast::StatusCode::kSuccess) { -// GGML_ASSERT(false); -// } -// } -// -// // copy dst to host -// float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); -// VK_CHECK(vkEnqueueReadBuffer(queue, d_D, true, 0, sizeof(float) * d_ne, d, 1, &events[events.size() - 1], NULL)); -// for (auto *event : events) { -// vkReleaseEvent(event); -// } -// -// ev_idx = 0; -// events.vkear(); -// } -// } -// -// if (!mul_mat_vec) { -// ggml_vk_pool_free(d_X, x_size); -// } -// ggml_vk_pool_free(d_Y, y_size); -// ggml_vk_pool_free(d_D, d_size); -// if (src0->backend == GGML_BACKEND_CPU) { -// ggml_vk_pool_free(d_Q, q_size); -// } + const int64_t ne00 = src0->ne[0]; + const int64_t ne01 = src0->ne[1]; + const int64_t ne02 = src0->ne[2]; + const int64_t ne03 = src0->ne[3]; + + const int64_t ne10 = src1->ne[0]; + const int64_t ne11 = src1->ne[1]; + + const int nb2 = dst->nb[2]; + const int nb3 = dst->nb[3]; + const ggml_type type = src0->type; + const bool mul_mat_vec = false; // ne11 == 1; + + const float alpha = 1.0f; + const float beta = 0.0f; + const int x_ne = ne01 * ne00; + const int y_ne = ne11 * ne10; + const int d_ne = ne11 * ne01; + const size_t q_sz = ggml_type_size(type) * x_ne / ggml_blck_size(type); + + vk_buffer d_X; + vk_buffer d_Y; + vk_buffer d_D; + if (!mul_mat_vec) { + ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + } + ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + vk_buffer d_Q; + if (src0->backend == GGML_BACKEND_CPU) { + ggml_vk_pool_malloc(q_sz, &d_Q, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + } + + vk_pipeline* to_fp32_vk = ggml_get_to_fp32_vk(type); + // vk_pipeline* dmmv = ggml_get_dequantize_mul_mat_vec_vk(type); + GGML_ASSERT(to_fp32_vk != nullptr); + + size_t ev_idx = 0; + + for (int64_t i03 = 0; i03 < ne03; i03++) { + for (int64_t i02 = 0; i02 < ne02; i02++) { + // copy src0 to device if necessary + if (src0->backend == GGML_BACKEND_CPU) { + ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02); + } else if (src0->backend == GGML_BACKEND_GPU) { + d_Q = *(vk_buffer *) src0->data; + } else { + GGML_ASSERT(false); + } + if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel + GGML_ASSERT(false); + // // copy src1 to device + // events.emplace_back(); + // VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Y, 0, src1, i03, i02, events.data() + ev_idx++)); + + // // compute + // const size_t global = ne01 * VK_DMMV_BLOCK_SIZE; + // const size_t local = VK_DMMV_BLOCK_SIZE; + // const vk_int ncols = ne00; + // events.emplace_back(); + // VK_CHECK(vkSetKernelArg(*dmmv, 0, sizeof(vk_buffer), &d_Q)); + // VK_CHECK(vkSetKernelArg(*dmmv, 1, sizeof(float) * local, NULL)); + // VK_CHECK(vkSetKernelArg(*dmmv, 2, sizeof(vk_buffer), &d_Y)); + // VK_CHECK(vkSetKernelArg(*dmmv, 3, sizeof(vk_buffer), &d_D)); + // VK_CHECK(vkSetKernelArg(*dmmv, 4, sizeof(vk_int), &ncols)); + // VK_CHECK(vkEnqueueNDRangeKernel(queue, *dmmv, 1, NULL, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++)); + } else { // general dequantization kernel + VK matrix matrix multiplication + // convert src0 to fp32 on device + // Wait for transfers to finish + vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); + + vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); + + ggml_vk_dispatch_pipeline(*to_fp32_vk, {&d_Q, &d_X}, { (int)x_ne }, { (uint32_t)x_ne, 1, 1}, fence); + + // copy src1 to device + ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02); + + // wait for conversion + vk_device.waitForFences({ fence }, + true, + uint64_t(-1)); + + vk_device.destroyFence(fence); + + // compute + fence = vk_device.createFence(vk::FenceCreateFlags{}); + + ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, fence); + + vk_device.waitForFences({ fence }, + true, + uint64_t(-1)); + + vk_device.destroyFence(fence); + } + + // copy dst to host + float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); + } + } + + if (!mul_mat_vec) { + ggml_vk_pool_free(d_X); + } + ggml_vk_pool_free(d_Y); + ggml_vk_pool_free(d_D); + if (src0->backend == GGML_BACKEND_CPU) { + ggml_vk_pool_free(d_Q); + } } @@ -1017,7 +997,7 @@ bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tens if ((src0->type == GGML_TYPE_F32 /*|| src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)*/) && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32 && - ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_GPU)) { + ((ne0 >= 128 && ne1 >= 32 && ne10 >= 128) || src0->backend == GGML_BACKEND_GPU)) { return true; } @@ -1086,24 +1066,6 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, 3); - vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); - vk::DescriptorPool descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); - - vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &vk_pipeline_matmul_f32.dsl); - const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); - vk::DescriptorSet descriptor_set = descriptor_sets.front(); - vk::DescriptorBufferInfo d_X_buffer_info(d_X.buffer, 0, sizeof(float) * x_ne); - vk::DescriptorBufferInfo d_Y_buffer_info(d_Y.buffer, 0, sizeof(float) * y_ne); - vk::DescriptorBufferInfo d_D_buffer_info(d_D.buffer, 0, sizeof(float) * d_ne); - - const std::vector write_descriptor_sets = { - {descriptor_set, 0, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_X_buffer_info}, - {descriptor_set, 1, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_Y_buffer_info}, - {descriptor_set, 2, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_D_buffer_info}, - }; - vk_device.updateDescriptorSets(write_descriptor_sets, {}); - std::array push_constants = { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }; assert( ( sizeof( push_constants ) <= vk_physical_device.getProperties().limits.maxPushConstantsSize ) && "Too many push constants" ); @@ -1121,36 +1083,15 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { ggml_vk_buffer_write(&d_X, 0, x, sizeof(float) * x_ne); ggml_vk_buffer_write(&d_Y, 0, y, sizeof(float) * y_ne); - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_compute); - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + // Wait for transfers to finish + vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); - // compute - auto begin = std::chrono::high_resolution_clock::now(); + vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); - vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); - cmd_buffer.begin(cmd_buffer_begin_info); - cmd_buffer.pushConstants(vk_pipeline_matmul_f32.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); - cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, vk_pipeline_matmul_f32.pipeline); - cmd_buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, - vk_pipeline_matmul_f32.layout, - 0, - { descriptor_set }, - {}); - cmd_buffer.dispatch(CEIL_DIV(m, 128), CEIL_DIV(n, 128), 1); - cmd_buffer.end(); + auto begin = std::chrono::high_resolution_clock::now(); - vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); + ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }, { (uint32_t)m, (uint32_t)n, 1}, fence); - vk::SubmitInfo submit_info(0, - nullptr, - nullptr, - 1, - &cmd_buffer); - - // Wait for transfers to finish - vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); - - queue.submit({ submit_info }, fence); vk_device.waitForFences({ fence }, true, uint64_t(-1)); @@ -1203,24 +1144,6 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, 3); - vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); - vk::DescriptorPool descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); - - vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &vk_pipeline_matmul_f32.dsl); - const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); - vk::DescriptorSet descriptor_set = descriptor_sets.front(); - vk::DescriptorBufferInfo d_X_buffer_info(d_X.buffer, 0, sizeof(ggml_fp16_t) * x_ne); - vk::DescriptorBufferInfo d_Y_buffer_info(d_Y.buffer, 0, sizeof(ggml_fp16_t) * y_ne); - vk::DescriptorBufferInfo d_D_buffer_info(d_D.buffer, 0, sizeof(ggml_fp16_t) * d_ne); - - const std::vector write_descriptor_sets = { - {descriptor_set, 0, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_X_buffer_info}, - {descriptor_set, 1, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_Y_buffer_info}, - {descriptor_set, 2, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &d_D_buffer_info}, - }; - vk_device.updateDescriptorSets(write_descriptor_sets, {}); - std::array push_constants = { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }; assert( ( sizeof( push_constants ) <= vk_physical_device.getProperties().limits.maxPushConstantsSize ) && "Too many push constants" ); @@ -1238,36 +1161,12 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { ggml_vk_buffer_write(&d_X, 0, x, sizeof(ggml_fp16_t) * x_ne); ggml_vk_buffer_write(&d_Y, 0, y, sizeof(ggml_fp16_t) * y_ne); - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_compute); - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); - // compute auto begin = std::chrono::high_resolution_clock::now(); - vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); - cmd_buffer.begin(cmd_buffer_begin_info); - cmd_buffer.pushConstants(vk_pipeline_matmul_f32.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); - cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, vk_pipeline_matmul_f32.pipeline); - cmd_buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, - vk_pipeline_matmul_f32.layout, - 0, - { descriptor_set }, - {}); - cmd_buffer.dispatch(CEIL_DIV(m, 32), CEIL_DIV(n, 32), 1); - cmd_buffer.end(); - - vk::Queue queue = vk_device.getQueue(vk_compute_queue_family_index, 0); + ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f16, {&d_X, &d_Y, &d_D}, { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }, { (uint32_t)m, (uint32_t)n, 1}, fence); - vk::SubmitInfo submit_info(0, - nullptr, - nullptr, - 1, - &cmd_buffer); - - // Wait for transfers to finish - vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); - - queue.submit({ submit_info }, fence); vk_device.waitForFences({ fence }, true, uint64_t(-1)); diff --git a/vk_shaders/f16_to_f32.glsl b/vk_shaders/f16_to_f32.glsl new file mode 100644 index 0000000000000..f9ce15c40c11e --- /dev/null +++ b/vk_shaders/f16_to_f32.glsl @@ -0,0 +1,21 @@ +#version 450 + +#extension GL_EXT_shader_16bit_storage : require + +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { float16_t data_a[]; }; +layout (binding = 1) writeonly buffer D { float data_b[]; }; + +layout (push_constant) uniform parameter +{ + int N; +} p; + +void main() { + const int idx = int(gl_LocalInvocationID.x); + + if (idx < p.N) { + data_b[idx] = float(data_a[idx]); + } +} diff --git a/vk_shaders/matmul_f16.glsl b/vk_shaders/matmul_f16.glsl new file mode 100644 index 0000000000000..658ab93ed17a9 --- /dev/null +++ b/vk_shaders/matmul_f16.glsl @@ -0,0 +1,100 @@ +#version 450 + +#define BM 128 +#define BN 128 +#define BK 8 +#define TM 8 +#define TN 8 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require + +layout(local_size_x = (BM * BN) / (TM * TN), local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { float16_t data_a[]; }; +layout (binding = 1) readonly buffer B { float16_t data_b[]; }; +layout (binding = 2) writeonly buffer D { float16_t data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int K; + int stride_a; + int stride_b; + int stride_d; +} p; + +shared float16_t buf_a[BM * (BK+1)]; +shared float16_t buf_b[BN * (BK+1)]; + +void main() { + const int ir = int(gl_WorkGroupID.x); + const int ic = int(gl_WorkGroupID.y); + + const int rstride = BM / TM; + + const int lr = int(gl_LocalInvocationID.x % rstride); + const int lc = int(gl_LocalInvocationID.x / rstride); + + const int loadr = int(gl_LocalInvocationID.x % BK); + const int loadc = int(gl_LocalInvocationID.x / BK); + + const int loadstride = int(gl_WorkGroupSize.x); + + int pos_a = ir * BM * p.stride_a; + int pos_b = ic * BN * p.stride_b; + + float16_t sums[TM * TN]; + float16_t cache_a[TM]; + float16_t cache_b[TN]; + + [[unroll]] for (int i = 0; i < TM*TN; i++) { + sums[i] = 0.0hf; + } + + [[unroll]] for (int block = 0; block < p.K; block += BK) { + [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; + } + [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; + } + + barrier(); + + pos_a += BK; + pos_b += BK; + + [[unroll]] for (int i = 0; i < BK; i++) { + // Load from shared into cache + [[unroll]] for (int j = 0; j < BM; j++) { + cache_a[j] = buf_a[(lr + j*rstride) * (BK+1) + i]; + } + [[unroll]] for (int j = 0; j < TN; j++) { + cache_b[j] = buf_b[(lc * TN + j) * (BK+1) + i]; + } + + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + sums[cc * TM + cr] += cache_a[cr] * cache_b[cc]; + } + } + } + + barrier(); + } + + const int dr = ir * BM + lr; + const int dc = ic * BN + lc * TN; + + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + data_d[(dc + cc) * p.stride_d + dr + cr*rstride] = sums[cc * TM + cr]; + } + } +} diff --git a/vk_shaders/matmul_f16.spv b/vk_shaders/matmul_f16.spv deleted file mode 100644 index a52c8f676765148d8f96ce795b26684721d894ac..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2144 zcmZvcSx;0!5QQ6%MRvlbvUmq@#Sk=#D57A%0l^g$BWeUgR5bdck3RU|AM(e!CMJI0 zOc%Kic54sGx!w|I-*N+>%AQ~N3vA8}b%-~#W4POYOD2VFaLu&$H=MSUR>9BBy;LI&$sEYehh29eB`I_?PZAF zOk;g#=JaQPBWmaHJ)<#deP`B;<1b*1UE>bkzK&|Swj zR`+(UlT+7tBXgm9huH7M{j3r3A)e!cG=;2OSz#jNXD%YP>JPW+FNi#dMZ&T);HGl(xAbB6Hc zoa6nDgAp(aoTKh>ApeaT-&O%!Oa3R_PGB8>s4uV;Am<+RL;D22+P<04K8Y_M+NbdC zN&YwULr42Pwbs@@jb8xI$9mVWkF!{ZeOPk_$k~U!db2s!s^=ZQ1-?~l9)t71oO|B~ zo`tz5z+CL-GQRuqUB`ar@#SMbSMb%4|3P0DuxdE$)4Z{~eU|l?;MDiMhyF7D68OsQ z?e8Y&1M*)ow~~3+U8ZUkdkgp-xfk>5x%VnC7kj#k@0xxKvF1H|`B?KlzIP-aYd*x6 zFR!^p>^J6`=3~uA_~ttKkFp2Pya9Ly_G8{V32o0^-6>GML+hjO9en%t+l#(;@pnM< o{Sx24^E)S=CAX% Date: Thu, 29 Jun 2023 06:46:17 +0200 Subject: [PATCH 017/142] Enable device extensions properly, restore fp16 matmul op --- ggml-vulkan.cpp | 101 +++++++++++++++++++++++++++++++++++------------- 1 file changed, 74 insertions(+), 27 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 3f5d4c85a83e1..85a794b48fd54 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -214,6 +214,21 @@ void ggml_vk_init(void) { vk::PhysicalDeviceProperties device_props = vk_physical_device.getProperties(); std::cout << "ggml_vulkan: Using " << device_props.deviceName << std::endl; + std::vector ext_props = vk_physical_device.enumerateDeviceExtensionProperties(); + + bool fp16_storage = false; + bool fp16_compute = false; + + for (auto properties : ext_props) { + if (strcmp("VK_KHR_16bit_storage", properties.extensionName) == 0) { + fp16_storage = true; + } else if (strcmp("VK_KHR_shader_float16_int8", properties.extensionName) == 0) { + fp16_compute = true; + } + } + + vk_fp16_support = fp16_storage && fp16_compute; + std::vector queue_family_props = vk_physical_device.getQueueFamilyProperties(); const size_t qfsize = queue_family_props.size(); @@ -255,7 +270,39 @@ void ggml_vk_init(void) { {vk::DeviceQueueCreateFlags(), vk_compute_queue_family_index, 1, &compute_queue_priority}, {vk::DeviceQueueCreateFlags(), vk_transfer_queue_family_index, 1, &transfer_queue_priority}, }; - vk::DeviceCreateInfo device_create_info(vk::DeviceCreateFlags(), device_queue_create_infos); + vk::DeviceCreateInfo device_create_info; + std::vector device_extensions; + vk::PhysicalDeviceFeatures device_features = vk_physical_device.getFeatures(); + + VkPhysicalDeviceFeatures2 device_features2; + device_features2.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_FEATURES_2; + device_features2.pNext = nullptr; + device_features2.features = device_features; + + VkPhysicalDeviceVulkan11Features vk11_features; + vk11_features.pNext = nullptr; + vk11_features.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_VULKAN_1_1_FEATURES; + device_features2.pNext = &vk11_features; + + VkPhysicalDeviceVulkan12Features vk12_features; + vk12_features.pNext = nullptr; + vk12_features.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_VULKAN_1_2_FEATURES; + vk11_features.pNext = &vk12_features; + + vkGetPhysicalDeviceFeatures2(vk_physical_device, &device_features2); + + if (vk_fp16_support) { + std::cout << "ggml_vulkan: 16-bit enabled" << std::endl; + device_extensions.push_back("VK_KHR_16bit_storage"); + device_extensions.push_back("VK_KHR_shader_float16_int8"); + } + device_create_info = { + vk::DeviceCreateFlags(), + device_queue_create_infos, + {}, + device_extensions + }; + device_create_info.setPNext(&device_features2); vk_device = vk_physical_device.createDevice(device_create_info); // Allocator @@ -773,10 +820,10 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr const int64_t ne10 = src1->ne[0]; const int64_t ne11 = src1->ne[1]; - const int nb00 = src0->nb[0]; - const int nb01 = src0->nb[1]; - const int nb02 = src0->nb[2]; - const int nb03 = src0->nb[3]; + const int nb10 = src0->nb[0]; + const int nb11 = src0->nb[1]; + const int nb12 = src0->nb[2]; + const int nb13 = src0->nb[3]; const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; @@ -791,43 +838,43 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr if (src0->backend == GGML_BACKEND_GPU) { d_X = *(vk_buffer*) src0->data; } else { - ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); } - ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - bool src0_cont_rows = nb00 == sizeof(float); - bool src0_cont_cols = (size_t)nb01 == ne01*sizeof(float); + bool src1_cont_rows = nb10 == sizeof(float); + bool src1_cont_cols = (size_t)nb11 == ne01*sizeof(float); for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { // copy data to device if (src1->backend != GGML_BACKEND_GPU) { - ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02); + ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02); } // convert src1 to fp16 // TODO: use multiple threads - float * const tmp = (float *) wdata + (ne11 * ne10) * (i03 * ne02 + i02); - char * src0i = (char *) src0->data + i03*nb03 + i02*nb02; - if (src0_cont_rows) { - if (src0_cont_cols) { - ggml_fp16_to_fp32_row((ggml_fp16_t *) src0i, tmp, ne00*ne01); + ggml_fp16_t * const tmp = (ggml_fp16_t *) wdata + (ne11 * ne10) * (i03 * ne02 + i02); + char * src1i = (char *) src1->data + i03*nb13 + i02*nb12; + if (src1_cont_rows) { + if (src1_cont_cols) { + ggml_fp32_to_fp16_row((float *) src1i, tmp, ne10*ne11); } else { - for (int64_t i01 = 0; i01 < ne01; i01++) { - ggml_fp16_to_fp32_row((ggml_fp16_t *) (src0i + i01*nb01), tmp + i01*ne00, ne00); + for (int64_t i01 = 0; i01 < ne11; i01++) { + ggml_fp32_to_fp16_row((float *) (src1i + i01*nb11), tmp + i01*ne10, ne10); } } } else { - for (int64_t i01 = 0; i01 < ne01; i01++) { - for (int64_t i00 = 0; i00 < ne00; i00++) { + for (int64_t i01 = 0; i01 < ne11; i01++) { + for (int64_t i00 = 0; i00 < ne10; i00++) { // very slow due to no inlining - tmp[i01*ne10 + i00] = ggml_fp16_to_fp32(*(ggml_fp16_t *) (src0i + i01*nb01 + i00*nb00)); + tmp[i01*ne10 + i00] = ggml_fp32_to_fp16(*(float *) (src1i + i01*nb11 + i00*nb10)); } } } - ggml_vk_buffer_write(&d_X, 0, tmp, sizeof(float) * x_ne); + ggml_vk_buffer_write(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne); // compute vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); @@ -835,7 +882,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr auto begin = std::chrono::high_resolution_clock::now(); #endif - ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, fence); + ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f16, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, fence); vk_device.waitForFences({ fence }, true, uint64_t(-1)); @@ -849,8 +896,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr vk_device.destroyFence(fence); // copy dst to host - float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); + ggml_vk_buffer_read(&d_D, 0, tmp, sizeof(ggml_fp16_t) * d_ne); #ifdef VK_CHK_KERNEL for (size_t i = 0; i < d_ne; i++) { @@ -860,7 +906,8 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } } #else - // ggml_fp16_to_fp32_row(tmp, d, d_ne); + float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + ggml_fp16_to_fp32_row(tmp, d, d_ne); #endif } } @@ -994,7 +1041,7 @@ bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tens const int64_t ne1 = dst->ne[1]; // TODO: find the optimal values for these - if ((src0->type == GGML_TYPE_F32 /*|| src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)*/) && + if ((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 /*|| ggml_is_quantized(src0->type)*/) && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32 && ((ne0 >= 128 && ne1 >= 32 && ne10 >= 128) || src0->backend == GGML_BACKEND_GPU)) { From 40c8f843f238073ea1a5692779a34c0dc803006e Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Thu, 29 Jun 2023 20:04:36 +0200 Subject: [PATCH 018/142] Fix mulmat_f16 --- ggml-vulkan.cpp | 74 +++++++++++++------------------------------------ 1 file changed, 19 insertions(+), 55 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 85a794b48fd54..108cc4d63e3ed 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -205,7 +205,7 @@ void ggml_vk_init(void) { vk::ApplicationInfo app_info{ "ggml-vulkan", 1, nullptr, 0, VK_API_VERSION }; const std::vector layers = { - "VK_LAYER_KHRONOS_validation", + // "VK_LAYER_KHRONOS_validation", }; vk::InstanceCreateInfo instance_create_info(vk::InstanceCreateFlags(), &app_info, layers.size(), layers.data()); vk_instance = vk::createInstance(instance_create_info); @@ -291,6 +291,8 @@ void ggml_vk_init(void) { vkGetPhysicalDeviceFeatures2(vk_physical_device, &device_features2); + vk_fp16_support = vk_fp16_support && vk12_features.shaderFloat16 && vk11_features.storageBuffer16BitAccess; + if (vk_fp16_support) { std::cout << "ggml_vulkan: 16-bit enabled" << std::endl; device_extensions.push_back("VK_KHR_16bit_storage"); @@ -327,7 +329,7 @@ void ggml_vk_init(void) { vk::CommandPoolCreateInfo command_pool_create_info_transfer(vk::CommandPoolCreateFlags(), vk_transfer_queue_family_index); vk_command_pool_transfer = vk_device.createCommandPool(command_pool_create_info_transfer); -#ifdef VK_CHK_KERNEL +#if 0 && defined(VK_CHK_KERNEL) for (size_t m = 1; m < 10; m++) { for (size_t n = 1; n < 10; n++) { for (size_t k = 1; k < 10; k++) { @@ -638,9 +640,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ 1, &cmd_buffer); queue.submit({ submit_info }, fence); - vk_device.waitForFences({ fence }, - true, - uint64_t(-1)); + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read pinned waitForFences"); vk_device.destroyFence(fence); return; @@ -672,9 +672,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ 1, &cmd_buffer); queue.submit({ submit_info }, fence); - vk_device.waitForFences({ fence }, - true, - uint64_t(-1)); + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read staging waitForFences"); memcpy(dst, src->sb_read->info.pMappedData, size); vk_device.destroyFence(fence); @@ -760,9 +758,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, fence); - vk_device.waitForFences({ fence }, - true, - uint64_t(-1)); + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_f32 waitForFences"); #ifdef VK_CHK_KERNEL auto end = std::chrono::high_resolution_clock::now(); @@ -775,27 +771,6 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); - -#ifdef VK_CHK_KERNEL - const float * x = (float *) ((char *) src0->data); - const float * y = (float *) ((char *) src1->data); - float * d_chk = (float *) malloc(sizeof(float) * d_ne); - - cblas_sgemm(CblasColMajor, CblasTrans, CblasNoTrans, - ne01, ne11, ne10, - 1.0f, x, ne00, - y, ne10, - 0.0f, d_chk, ne01); - - for (size_t i = 0; i < d_ne; i++) { - if (std::fabs(d[i] - d_chk[i]) > 0.01f) { - printf("d[%ld] = %f d_chk[%ld] = %f\n", i, d[i], i, d_chk[i]); - abort(); - } - } - - free(d_chk); -#endif } } @@ -820,10 +795,10 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr const int64_t ne10 = src1->ne[0]; const int64_t ne11 = src1->ne[1]; - const int nb10 = src0->nb[0]; - const int nb11 = src0->nb[1]; - const int nb12 = src0->nb[2]; - const int nb13 = src0->nb[3]; + const int nb10 = src1->nb[0]; + const int nb11 = src1->nb[1]; + const int nb12 = src1->nb[2]; + const int nb13 = src1->nb[3]; const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; @@ -844,7 +819,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); bool src1_cont_rows = nb10 == sizeof(float); - bool src1_cont_cols = (size_t)nb11 == ne01*sizeof(float); + bool src1_cont_cols = (size_t)nb11 == ne11*sizeof(float); for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { @@ -852,6 +827,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr if (src1->backend != GGML_BACKEND_GPU) { ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02); } + // convert src1 to fp16 // TODO: use multiple threads ggml_fp16_t * const tmp = (ggml_fp16_t *) wdata + (ne11 * ne10) * (i03 * ne02 + i02); @@ -876,6 +852,9 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } ggml_vk_buffer_write(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne); + // Wait for transfers to finish + vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); + // compute vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); #ifdef VK_CHK_KERNEL @@ -883,9 +862,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr #endif ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f16, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, fence); - vk_device.waitForFences({ fence }, - true, - uint64_t(-1)); + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_f16 waitForFences"); #ifdef VK_CHK_KERNEL auto end = std::chrono::high_resolution_clock::now(); @@ -898,17 +875,8 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr // copy dst to host ggml_vk_buffer_read(&d_D, 0, tmp, sizeof(ggml_fp16_t) * d_ne); -#ifdef VK_CHK_KERNEL - for (size_t i = 0; i < d_ne; i++) { - if (std::fabs(tmp[i] - d[i]) > 0.01f) { - printf("d[%ld] = %f d_chk[%ld] = %f\n", i, tmp[i], i, d[i]); - abort(); - } - } -#else float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); ggml_fp16_to_fp32_row(tmp, d, d_ne); -#endif } } @@ -999,9 +967,7 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02); // wait for conversion - vk_device.waitForFences({ fence }, - true, - uint64_t(-1)); + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_q_f32 src0 convert waitForFences"); vk_device.destroyFence(fence); @@ -1010,9 +976,7 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, fence); - vk_device.waitForFences({ fence }, - true, - uint64_t(-1)); + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_q_f32 matmul waitForFences"); vk_device.destroyFence(fence); } From df3cdbdac75778e68a24dffafaa914a53b8cca5c Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Thu, 29 Jun 2023 20:15:39 +0200 Subject: [PATCH 019/142] Output FP32 in fp16 matmul shader --- ggml-vulkan.cpp | 10 +++++----- vk_shaders/matmul_f16.glsl | 6 +++--- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 108cc4d63e3ed..4f3b842969aec 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -318,7 +318,9 @@ void ggml_vk_init(void) { // Shaders vk_pipeline_matmul_f32 = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 6, {128, 128, 1}); - vk_pipeline_matmul_f16 = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 6, {128, 128, 1}); + if (vk_fp16_support) { + vk_pipeline_matmul_f16 = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 6, {128, 128, 1}); + } vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 1, {32, 1, 1}); @@ -816,7 +818,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); } ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); bool src1_cont_rows = nb10 == sizeof(float); bool src1_cont_cols = (size_t)nb11 == ne11*sizeof(float); @@ -873,10 +875,8 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr vk_device.destroyFence(fence); // copy dst to host - ggml_vk_buffer_read(&d_D, 0, tmp, sizeof(ggml_fp16_t) * d_ne); - float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_fp16_to_fp32_row(tmp, d, d_ne); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); } } diff --git a/vk_shaders/matmul_f16.glsl b/vk_shaders/matmul_f16.glsl index 658ab93ed17a9..8d6bfac0906ab 100644 --- a/vk_shaders/matmul_f16.glsl +++ b/vk_shaders/matmul_f16.glsl @@ -13,7 +13,7 @@ layout(local_size_x = (BM * BN) / (TM * TN), local_size_y = 1, local_size_z = 1) layout (binding = 0) readonly buffer A { float16_t data_a[]; }; layout (binding = 1) readonly buffer B { float16_t data_b[]; }; -layout (binding = 2) writeonly buffer D { float16_t data_d[]; }; +layout (binding = 2) writeonly buffer D { float data_d[]; }; layout (push_constant) uniform parameter { @@ -45,7 +45,7 @@ void main() { int pos_a = ir * BM * p.stride_a; int pos_b = ic * BN * p.stride_b; - float16_t sums[TM * TN]; + float sums[TM * TN]; float16_t cache_a[TM]; float16_t cache_b[TN]; @@ -81,7 +81,7 @@ void main() { [[unroll]] for (int cc = 0; cc < TN; cc++) { [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[cc * TM + cr] += cache_a[cr] * cache_b[cc]; + sums[cc * TM + cr] += float(cache_a[cr]) * float(cache_b[cc]); } } } From cb5cb4d6e2e753ee94f43c637a2c840122508374 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 30 Jun 2023 20:14:11 +0200 Subject: [PATCH 020/142] Fix f16_to_f32 kernel --- ggml-vulkan.cpp | 139 +++++++++++++++++++++++++++---------- vk_shaders/f16_to_f32.glsl | 2 +- 2 files changed, 102 insertions(+), 39 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 4f3b842969aec..f4eba70ff3804 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -91,6 +91,9 @@ static vk::CommandBuffer ggml_vk_cmd_buffer_create(vk::CommandPool& pool) { static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_count, std::array wg_denoms) { vk_pipeline pipeline; + GGML_ASSERT(parameter_count > 0); + GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); + pipeline.parameter_count = parameter_count; pipeline.push_constant_size = push_constant_count * sizeof(int); pipeline.wg_denoms = wg_denoms; @@ -198,6 +201,7 @@ static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector layers = { - // "VK_LAYER_KHRONOS_validation", + "VK_LAYER_KHRONOS_validation", }; vk::InstanceCreateInfo instance_create_info(vk::InstanceCreateFlags(), &app_info, layers.size(), layers.data()); vk_instance = vk::createInstance(instance_create_info); vk_physical_device = vk_instance.enumeratePhysicalDevices()[dev_num]; vk::PhysicalDeviceProperties device_props = vk_physical_device.getProperties(); - std::cout << "ggml_vulkan: Using " << device_props.deviceName << std::endl; + std::cerr << "ggml_vulkan: Using " << device_props.deviceName << std::endl; std::vector ext_props = vk_physical_device.enumerateDeviceExtensionProperties(); @@ -291,11 +295,16 @@ void ggml_vk_init(void) { vkGetPhysicalDeviceFeatures2(vk_physical_device, &device_features2); - vk_fp16_support = vk_fp16_support && vk12_features.shaderFloat16 && vk11_features.storageBuffer16BitAccess; + vk_fp16_support = vk_fp16_support && vk12_features.shaderFloat16; + + if (!vk11_features.storageBuffer16BitAccess) { + std::cerr << "ggml_vulkan: device does not support 16-bit storage" << std::endl; + } + + device_extensions.push_back("VK_KHR_16bit_storage"); if (vk_fp16_support) { - std::cout << "ggml_vulkan: 16-bit enabled" << std::endl; - device_extensions.push_back("VK_KHR_16bit_storage"); + std::cerr << "ggml_vulkan: 16-bit enabled" << std::endl; device_extensions.push_back("VK_KHR_shader_float16_int8"); } device_create_info = { @@ -331,15 +340,20 @@ void ggml_vk_init(void) { vk::CommandPoolCreateInfo command_pool_create_info_transfer(vk::CommandPoolCreateFlags(), vk_transfer_queue_family_index); vk_command_pool_transfer = vk_device.createCommandPool(command_pool_create_info_transfer); -#if 0 && defined(VK_CHK_KERNEL) - for (size_t m = 1; m < 10; m++) { - for (size_t n = 1; n < 10; n++) { - for (size_t k = 1; k < 10; k++) { +#if defined(VK_CHK_KERNEL) + const int step = 5; + for (size_t m = 1; m < 12; m += step) { + for (size_t n = 1; n < 12; n += step) { + for (size_t k = 1; k < 12; k += step) { ggml_vk_test_matmul_f32(m * 128, n * 128, k * 128); ggml_vk_test_matmul_f16(m * 128, n * 128, k * 128); } } } + + for (size_t m = 1; m < 12; m += step) { + ggml_vk_test_f16_to_f32(m * 128); + } #endif } @@ -570,7 +584,7 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src // Staging buffer required, malloc because of async transfer if (dst->sb_write == nullptr) { dst->sb_write = (vk_buffer *) malloc(sizeof(vk_buffer)); - *dst->sb_write = ggml_vk_create_buffer(size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO, 0); + *dst->sb_write = ggml_vk_create_buffer(dst->size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO, 0); } memcpy(((uint8_t *)dst->sb_write->info.pMappedData) + offset, src, size); @@ -650,7 +664,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ if (src->sb_read == nullptr) { src->sb_read = (vk_buffer *) malloc(sizeof(vk_buffer)); - *src->sb_read = ggml_vk_create_buffer(size, VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO, 0); + *src->sb_read = ggml_vk_create_buffer(src->size, VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO, 0); } VkBufferCopy buf_copy = { @@ -741,6 +755,8 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { // copy data to device @@ -750,7 +766,6 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02); // compute - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); #ifdef VK_CHK_KERNEL auto begin = std::chrono::high_resolution_clock::now(); #endif @@ -768,7 +783,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr std::cout << "m=" << ne01 << " n=" << ne11 << " k=" << ne10 << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms" << std::endl; #endif - vk_device.destroyFence(fence); + vk_device.resetFences({fence}); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); @@ -776,6 +791,8 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr } } + vk_device.destroyFence(fence); + if (src0->backend != GGML_BACKEND_GPU) { ggml_vk_pool_free(d_X); } @@ -823,6 +840,8 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr bool src1_cont_rows = nb10 == sizeof(float); bool src1_cont_cols = (size_t)nb11 == ne11*sizeof(float); + vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { // copy data to device @@ -858,7 +877,6 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); // compute - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); #ifdef VK_CHK_KERNEL auto begin = std::chrono::high_resolution_clock::now(); #endif @@ -872,7 +890,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr std::cout << "m=" << ne01 << " n=" << ne11 << " k=" << ne10 << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms" << std::endl; #endif - vk_device.destroyFence(fence); + vk_device.resetFences({fence}); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); @@ -880,6 +898,8 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } } + vk_device.destroyFence(fence); + if (src0->backend != GGML_BACKEND_GPU) { ggml_vk_pool_free(d_X); } @@ -901,8 +921,6 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * const ggml_type type = src0->type; const bool mul_mat_vec = false; // ne11 == 1; - const float alpha = 1.0f; - const float beta = 0.0f; const int x_ne = ne01 * ne00; const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; @@ -925,8 +943,6 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // vk_pipeline* dmmv = ggml_get_dequantize_mul_mat_vec_vk(type); GGML_ASSERT(to_fp32_vk != nullptr); - size_t ev_idx = 0; - for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { // copy src0 to device if necessary @@ -969,11 +985,12 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // wait for conversion vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_q_f32 src0 convert waitForFences"); - vk_device.destroyFence(fence); + vk_device.resetFences({fence}); - // compute - fence = vk_device.createFence(vk::FenceCreateFlags{}); + // Wait for transfers to finish + vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); + // compute ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, fence); vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_q_f32 matmul waitForFences"); @@ -1077,9 +1094,6 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - std::array push_constants = { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }; - assert( ( sizeof( push_constants ) <= vk_physical_device.getProperties().limits.maxPushConstantsSize ) && "Too many push constants" ); - float* x = (float *) malloc(sizeof(float) * x_ne); float* y = (float *) malloc(sizeof(float) * y_ne); float* d = (float *) malloc(sizeof(float) * d_ne); @@ -1103,9 +1117,7 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }, { (uint32_t)m, (uint32_t)n, 1}, fence); - vk_device.waitForFences({ fence }, - true, - uint64_t(-1)); + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "test_matmul_f32 waitForFences"); auto end = std::chrono::high_resolution_clock::now(); @@ -1144,6 +1156,9 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { } void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { + if (!vk_fp16_support) { + return; + } const size_t x_ne = m * k; const size_t y_ne = k * n; const size_t d_ne = m * n; @@ -1153,14 +1168,11 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { vk_buffer d_D; ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - - std::array push_constants = { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }; - assert( ( sizeof( push_constants ) <= vk_physical_device.getProperties().limits.maxPushConstantsSize ) && "Too many push constants" ); + ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * x_ne); ggml_fp16_t* y = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * y_ne); - ggml_fp16_t* d = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * d_ne); + float* d = (float *) malloc(sizeof(float) * d_ne); for (size_t i = 0; i < x_ne; i++) { x[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); @@ -1178,14 +1190,12 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f16, {&d_X, &d_Y, &d_D}, { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }, { (uint32_t)m, (uint32_t)n, 1}, fence); - vk_device.waitForFences({ fence }, - true, - uint64_t(-1)); + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "test_matmul_f16 waitForFences"); auto end = std::chrono::high_resolution_clock::now(); // copy dst to host - ggml_vk_buffer_read(&d_D, 0, d, sizeof(ggml_fp16_t) * d_ne); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); float * fx = (float *) malloc(sizeof(float) * x_ne); float * fy = (float *) malloc(sizeof(float) * y_ne); @@ -1204,7 +1214,7 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { for (size_t r = 0; r < m; r++) { for (size_t c = 0; c < n; c++) { - avg_err += std::fabs(ggml_fp16_to_fp32(d[c * m + r]) - d_chk[c * m + r]); + avg_err += std::fabs(d[c * m + r] - d_chk[c * m + r]); } } @@ -1218,10 +1228,63 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { ggml_vk_pool_free(d_X); ggml_vk_pool_free(d_Y); + + size_t ev_idx = 0; ggml_vk_pool_free(d_D); free(x); free(y); free(d); } + +void ggml_vk_test_f16_to_f32(size_t m) { + vk_buffer d_X; + vk_buffer d_D; + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * m, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(float) * m, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + + ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * m); + float* d = (float *) malloc(sizeof(float) * m); + + for (size_t i = 0; i < m; i++) { + x[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); + } + + ggml_vk_buffer_write(&d_X, 0, x, sizeof(ggml_fp16_t) * m); + + vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); + + auto begin = std::chrono::high_resolution_clock::now(); + + ggml_vk_dispatch_pipeline(vk_pipeline_f16_to_f32, {&d_X, &d_D}, { (int)m }, { (uint32_t)m, 1, 1}, fence); + + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "test_f16_to_f32 waitForFences"); + + auto end = std::chrono::high_resolution_clock::now(); + + // copy dst to host + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * m); + + float * d_chk = (float *) malloc(sizeof(float) * m); + + ggml_fp16_to_fp32_row(x, d_chk, m); + + double avg_err = 0.0; + + for (size_t r = 0; r < m; r++) { + avg_err += std::fabs(ggml_fp16_to_fp32(d[r]) - d_chk[r]); + } + + std::cout << "TEST convert m=" << m << " f16_to_f32 " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms avg_err=" << avg_err / m << std::endl; + + free(d_chk); + + vk_device.destroyFence(fence); + + ggml_vk_pool_free(d_X); + ggml_vk_pool_free(d_D); + + free(x); + free(d); +} #endif diff --git a/vk_shaders/f16_to_f32.glsl b/vk_shaders/f16_to_f32.glsl index f9ce15c40c11e..85d7152dbfa25 100644 --- a/vk_shaders/f16_to_f32.glsl +++ b/vk_shaders/f16_to_f32.glsl @@ -13,7 +13,7 @@ layout (push_constant) uniform parameter } p; void main() { - const int idx = int(gl_LocalInvocationID.x); + const int idx = int(gl_GlobalInvocationID.x); if (idx < p.N) { data_b[idx] = float(data_a[idx]); From c8ff09bdc772f5c9e6ac845300e757797136ce7e Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 30 Jun 2023 20:48:42 +0200 Subject: [PATCH 021/142] dequant_q4_0 kernel --- ggml-vulkan.cpp | 9 +++--- ggml.c | 7 +++++ vk_shaders/dequant_q4_0.glsl | 57 ++++++++++++++++++++++++++++++++++++ 3 files changed, 69 insertions(+), 4 deletions(-) create mode 100644 vk_shaders/dequant_q4_0.glsl diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index f4eba70ff3804..15c5464982c1f 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -71,7 +71,7 @@ vk::Device vk_device; vk::CommandPool vk_command_pool_compute, vk_command_pool_transfer; VmaAllocator vk_allocator; vk_pipeline vk_pipeline_matmul_f32, vk_pipeline_matmul_f16; -vk_pipeline vk_pipeline_f16_to_f32; +vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; vk::Buffer vk_buffer_qa, vk_buffer_a, vk_buffer_b, vk_buffer_c; @@ -332,6 +332,7 @@ void ggml_vk_init(void) { } vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 1, {32, 1, 1}); + vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 1, {32, 1, 1}); // Command pools vk::CommandPoolCreateInfo command_pool_create_info_compute(vk::CommandPoolCreateFlags(), vk_compute_queue_family_index); @@ -359,8 +360,8 @@ void ggml_vk_init(void) { static vk_pipeline* ggml_get_to_fp32_vk(ggml_type type) { switch (type) { - // case GGML_TYPE_Q4_0: - // return &dequantize_row_q4_0_cl; + case GGML_TYPE_Q4_0: + return &vk_pipeline_dequant_q4_0; // case GGML_TYPE_Q4_1: // return &dequantize_row_q4_1_cl; // case GGML_TYPE_Q5_0: @@ -1022,7 +1023,7 @@ bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tens const int64_t ne1 = dst->ne[1]; // TODO: find the optimal values for these - if ((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 /*|| ggml_is_quantized(src0->type)*/) && + if ((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32 && ((ne0 >= 128 && ne1 >= 32 && ne10 >= 128) || src0->backend == GGML_BACKEND_GPU)) { diff --git a/ggml.c b/ggml.c index 0d7bf38fa16ef..c5271710075b0 100644 --- a/ggml.c +++ b/ggml.c @@ -11044,6 +11044,13 @@ static void ggml_compute_forward_mul_mat_q_f32( } return; } +#elif defined(GGML_USE_VULKAN) + if (ggml_vk_can_mul_mat(src0, src1, dst)) { + if (params->ith == 0 && params->type == GGML_TASK_COMPUTE) { + ggml_vk_mul_mat(src0, src1, dst, params->wdata, params->wsize); + } + return; + } #endif #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) diff --git a/vk_shaders/dequant_q4_0.glsl b/vk_shaders/dequant_q4_0.glsl new file mode 100644 index 0000000000000..29d24b5977d6d --- /dev/null +++ b/vk_shaders/dequant_q4_0.glsl @@ -0,0 +1,57 @@ +#version 450 + +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require +#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require + +#define QUANT_K 32 +#define QUANT_R 2 + +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +struct block_q4_0 +{ + float16_t d; + uint8_t qs[16]; +}; + +layout (binding = 0) readonly buffer A { block_q4_0 x[]; }; +layout (binding = 1) writeonly buffer D { float y[]; }; + +layout (push_constant) uniform parameter +{ + int N; +} p; + +void main() { + const int idx = int(gl_GlobalInvocationID.x); + + const int i = int(gl_WorkGroupID.x * gl_WorkGroupSize.x + gl_LocalInvocationID.x*2); + + if (idx >= p.N) { + return; + } + + const int qk = QUANT_K; + const int qr = QUANT_R; + + const int ib = i/qk; // block index + const int iqs = (i%qk)/qr; // quant index + const int iybs = i - i%qk; // y block start index + const int y_offset = qr == 1 ? 1 : qk/2; + + // dequantize + float v0, v1; + const float d = float(x[ib].d); + + const uint8_t vui = x[ib].qs[iqs]; + + const int8_t vi0 = int8_t(vui & 0xF); + const int8_t vi1 = int8_t(vui >> 4); + + v0 = (vi0 - 8)*d; + v1 = (vi1 - 8)*d; + + y[iybs + iqs + 0] = v0; + y[iybs + iqs + y_offset] = v1; +} From 4ea9b2fd4b87bb96298ec7dc8fab4a7695cf3ebf Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 30 Jun 2023 21:15:06 +0200 Subject: [PATCH 022/142] Add VMA library --- external/vk_mem_alloc.h | 19664 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 19664 insertions(+) create mode 100644 external/vk_mem_alloc.h diff --git a/external/vk_mem_alloc.h b/external/vk_mem_alloc.h new file mode 100644 index 0000000000000..823cef8ade3eb --- /dev/null +++ b/external/vk_mem_alloc.h @@ -0,0 +1,19664 @@ +// +// Copyright (c) 2017-2022 Advanced Micro Devices, Inc. All rights reserved. +// +// Permission is hereby granted, free of charge, to any person obtaining a copy +// of this software and associated documentation files (the "Software"), to deal +// in the Software without restriction, including without limitation the rights +// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +// copies of the Software, and to permit persons to whom the Software is +// furnished to do so, subject to the following conditions: +// +// The above copyright notice and this permission notice shall be included in +// all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +// THE SOFTWARE. +// + +#ifndef AMD_VULKAN_MEMORY_ALLOCATOR_H +#define AMD_VULKAN_MEMORY_ALLOCATOR_H + +/** \mainpage Vulkan Memory Allocator + +Version 3.1.0-development + +Copyright (c) 2017-2022 Advanced Micro Devices, Inc. All rights reserved. \n +License: MIT + +API documentation divided into groups: [Modules](modules.html) + +\section main_table_of_contents Table of contents + +- User guide + - \subpage quick_start + - [Project setup](@ref quick_start_project_setup) + - [Initialization](@ref quick_start_initialization) + - [Resource allocation](@ref quick_start_resource_allocation) + - \subpage choosing_memory_type + - [Usage](@ref choosing_memory_type_usage) + - [Required and preferred flags](@ref choosing_memory_type_required_preferred_flags) + - [Explicit memory types](@ref choosing_memory_type_explicit_memory_types) + - [Custom memory pools](@ref choosing_memory_type_custom_memory_pools) + - [Dedicated allocations](@ref choosing_memory_type_dedicated_allocations) + - \subpage memory_mapping + - [Mapping functions](@ref memory_mapping_mapping_functions) + - [Persistently mapped memory](@ref memory_mapping_persistently_mapped_memory) + - [Cache flush and invalidate](@ref memory_mapping_cache_control) + - \subpage staying_within_budget + - [Querying for budget](@ref staying_within_budget_querying_for_budget) + - [Controlling memory usage](@ref staying_within_budget_controlling_memory_usage) + - \subpage resource_aliasing + - \subpage custom_memory_pools + - [Choosing memory type index](@ref custom_memory_pools_MemTypeIndex) + - [Linear allocation algorithm](@ref linear_algorithm) + - [Free-at-once](@ref linear_algorithm_free_at_once) + - [Stack](@ref linear_algorithm_stack) + - [Double stack](@ref linear_algorithm_double_stack) + - [Ring buffer](@ref linear_algorithm_ring_buffer) + - \subpage defragmentation + - \subpage statistics + - [Numeric statistics](@ref statistics_numeric_statistics) + - [JSON dump](@ref statistics_json_dump) + - \subpage allocation_annotation + - [Allocation user data](@ref allocation_user_data) + - [Allocation names](@ref allocation_names) + - \subpage virtual_allocator + - \subpage debugging_memory_usage + - [Memory initialization](@ref debugging_memory_usage_initialization) + - [Margins](@ref debugging_memory_usage_margins) + - [Corruption detection](@ref debugging_memory_usage_corruption_detection) + - \subpage opengl_interop +- \subpage usage_patterns + - [GPU-only resource](@ref usage_patterns_gpu_only) + - [Staging copy for upload](@ref usage_patterns_staging_copy_upload) + - [Readback](@ref usage_patterns_readback) + - [Advanced data uploading](@ref usage_patterns_advanced_data_uploading) + - [Other use cases](@ref usage_patterns_other_use_cases) +- \subpage configuration + - [Pointers to Vulkan functions](@ref config_Vulkan_functions) + - [Custom host memory allocator](@ref custom_memory_allocator) + - [Device memory allocation callbacks](@ref allocation_callbacks) + - [Device heap memory limit](@ref heap_memory_limit) +- Extension support + - \subpage vk_khr_dedicated_allocation + - \subpage enabling_buffer_device_address + - \subpage vk_ext_memory_priority + - \subpage vk_amd_device_coherent_memory +- \subpage general_considerations + - [Thread safety](@ref general_considerations_thread_safety) + - [Versioning and compatibility](@ref general_considerations_versioning_and_compatibility) + - [Validation layer warnings](@ref general_considerations_validation_layer_warnings) + - [Allocation algorithm](@ref general_considerations_allocation_algorithm) + - [Features not supported](@ref general_considerations_features_not_supported) + +\section main_see_also See also + +- [**Product page on GPUOpen**](https://gpuopen.com/gaming-product/vulkan-memory-allocator/) +- [**Source repository on GitHub**](https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator) + +\defgroup group_init Library initialization + +\brief API elements related to the initialization and management of the entire library, especially #VmaAllocator object. + +\defgroup group_alloc Memory allocation + +\brief API elements related to the allocation, deallocation, and management of Vulkan memory, buffers, images. +Most basic ones being: vmaCreateBuffer(), vmaCreateImage(). + +\defgroup group_virtual Virtual allocator + +\brief API elements related to the mechanism of \ref virtual_allocator - using the core allocation algorithm +for user-defined purpose without allocating any real GPU memory. + +\defgroup group_stats Statistics + +\brief API elements that query current status of the allocator, from memory usage, budget, to full dump of the internal state in JSON format. +See documentation chapter: \ref statistics. +*/ + + +#ifdef __cplusplus +extern "C" { +#endif + +#ifndef VULKAN_H_ + #include +#endif + +#if !defined(VMA_VULKAN_VERSION) + #if defined(VK_VERSION_1_3) + #define VMA_VULKAN_VERSION 1003000 + #elif defined(VK_VERSION_1_2) + #define VMA_VULKAN_VERSION 1002000 + #elif defined(VK_VERSION_1_1) + #define VMA_VULKAN_VERSION 1001000 + #else + #define VMA_VULKAN_VERSION 1000000 + #endif +#endif + +#if defined(__ANDROID__) && defined(VK_NO_PROTOTYPES) && VMA_STATIC_VULKAN_FUNCTIONS + extern PFN_vkGetInstanceProcAddr vkGetInstanceProcAddr; + extern PFN_vkGetDeviceProcAddr vkGetDeviceProcAddr; + extern PFN_vkGetPhysicalDeviceProperties vkGetPhysicalDeviceProperties; + extern PFN_vkGetPhysicalDeviceMemoryProperties vkGetPhysicalDeviceMemoryProperties; + extern PFN_vkAllocateMemory vkAllocateMemory; + extern PFN_vkFreeMemory vkFreeMemory; + extern PFN_vkMapMemory vkMapMemory; + extern PFN_vkUnmapMemory vkUnmapMemory; + extern PFN_vkFlushMappedMemoryRanges vkFlushMappedMemoryRanges; + extern PFN_vkInvalidateMappedMemoryRanges vkInvalidateMappedMemoryRanges; + extern PFN_vkBindBufferMemory vkBindBufferMemory; + extern PFN_vkBindImageMemory vkBindImageMemory; + extern PFN_vkGetBufferMemoryRequirements vkGetBufferMemoryRequirements; + extern PFN_vkGetImageMemoryRequirements vkGetImageMemoryRequirements; + extern PFN_vkCreateBuffer vkCreateBuffer; + extern PFN_vkDestroyBuffer vkDestroyBuffer; + extern PFN_vkCreateImage vkCreateImage; + extern PFN_vkDestroyImage vkDestroyImage; + extern PFN_vkCmdCopyBuffer vkCmdCopyBuffer; + #if VMA_VULKAN_VERSION >= 1001000 + extern PFN_vkGetBufferMemoryRequirements2 vkGetBufferMemoryRequirements2; + extern PFN_vkGetImageMemoryRequirements2 vkGetImageMemoryRequirements2; + extern PFN_vkBindBufferMemory2 vkBindBufferMemory2; + extern PFN_vkBindImageMemory2 vkBindImageMemory2; + extern PFN_vkGetPhysicalDeviceMemoryProperties2 vkGetPhysicalDeviceMemoryProperties2; + #endif // #if VMA_VULKAN_VERSION >= 1001000 +#endif // #if defined(__ANDROID__) && VMA_STATIC_VULKAN_FUNCTIONS && VK_NO_PROTOTYPES + +#if !defined(VMA_DEDICATED_ALLOCATION) + #if VK_KHR_get_memory_requirements2 && VK_KHR_dedicated_allocation + #define VMA_DEDICATED_ALLOCATION 1 + #else + #define VMA_DEDICATED_ALLOCATION 0 + #endif +#endif + +#if !defined(VMA_BIND_MEMORY2) + #if VK_KHR_bind_memory2 + #define VMA_BIND_MEMORY2 1 + #else + #define VMA_BIND_MEMORY2 0 + #endif +#endif + +#if !defined(VMA_MEMORY_BUDGET) + #if VK_EXT_memory_budget && (VK_KHR_get_physical_device_properties2 || VMA_VULKAN_VERSION >= 1001000) + #define VMA_MEMORY_BUDGET 1 + #else + #define VMA_MEMORY_BUDGET 0 + #endif +#endif + +// Defined to 1 when VK_KHR_buffer_device_address device extension or equivalent core Vulkan 1.2 feature is defined in its headers. +#if !defined(VMA_BUFFER_DEVICE_ADDRESS) + #if VK_KHR_buffer_device_address || VMA_VULKAN_VERSION >= 1002000 + #define VMA_BUFFER_DEVICE_ADDRESS 1 + #else + #define VMA_BUFFER_DEVICE_ADDRESS 0 + #endif +#endif + +// Defined to 1 when VK_EXT_memory_priority device extension is defined in Vulkan headers. +#if !defined(VMA_MEMORY_PRIORITY) + #if VK_EXT_memory_priority + #define VMA_MEMORY_PRIORITY 1 + #else + #define VMA_MEMORY_PRIORITY 0 + #endif +#endif + +// Defined to 1 when VK_KHR_external_memory device extension is defined in Vulkan headers. +#if !defined(VMA_EXTERNAL_MEMORY) + #if VK_KHR_external_memory + #define VMA_EXTERNAL_MEMORY 1 + #else + #define VMA_EXTERNAL_MEMORY 0 + #endif +#endif + +// Define these macros to decorate all public functions with additional code, +// before and after returned type, appropriately. This may be useful for +// exporting the functions when compiling VMA as a separate library. Example: +// #define VMA_CALL_PRE __declspec(dllexport) +// #define VMA_CALL_POST __cdecl +#ifndef VMA_CALL_PRE + #define VMA_CALL_PRE +#endif +#ifndef VMA_CALL_POST + #define VMA_CALL_POST +#endif + +// Define this macro to decorate pointers with an attribute specifying the +// length of the array they point to if they are not null. +// +// The length may be one of +// - The name of another parameter in the argument list where the pointer is declared +// - The name of another member in the struct where the pointer is declared +// - The name of a member of a struct type, meaning the value of that member in +// the context of the call. For example +// VMA_LEN_IF_NOT_NULL("VkPhysicalDeviceMemoryProperties::memoryHeapCount"), +// this means the number of memory heaps available in the device associated +// with the VmaAllocator being dealt with. +#ifndef VMA_LEN_IF_NOT_NULL + #define VMA_LEN_IF_NOT_NULL(len) +#endif + +// The VMA_NULLABLE macro is defined to be _Nullable when compiling with Clang. +// see: https://clang.llvm.org/docs/AttributeReference.html#nullable +#ifndef VMA_NULLABLE + #ifdef __clang__ + #define VMA_NULLABLE _Nullable + #else + #define VMA_NULLABLE + #endif +#endif + +// The VMA_NOT_NULL macro is defined to be _Nonnull when compiling with Clang. +// see: https://clang.llvm.org/docs/AttributeReference.html#nonnull +#ifndef VMA_NOT_NULL + #ifdef __clang__ + #define VMA_NOT_NULL _Nonnull + #else + #define VMA_NOT_NULL + #endif +#endif + +// If non-dispatchable handles are represented as pointers then we can give +// then nullability annotations +#ifndef VMA_NOT_NULL_NON_DISPATCHABLE + #if defined(__LP64__) || defined(_WIN64) || (defined(__x86_64__) && !defined(__ILP32__) ) || defined(_M_X64) || defined(__ia64) || defined (_M_IA64) || defined(__aarch64__) || defined(__powerpc64__) + #define VMA_NOT_NULL_NON_DISPATCHABLE VMA_NOT_NULL + #else + #define VMA_NOT_NULL_NON_DISPATCHABLE + #endif +#endif + +#ifndef VMA_NULLABLE_NON_DISPATCHABLE + #if defined(__LP64__) || defined(_WIN64) || (defined(__x86_64__) && !defined(__ILP32__) ) || defined(_M_X64) || defined(__ia64) || defined (_M_IA64) || defined(__aarch64__) || defined(__powerpc64__) + #define VMA_NULLABLE_NON_DISPATCHABLE VMA_NULLABLE + #else + #define VMA_NULLABLE_NON_DISPATCHABLE + #endif +#endif + +#ifndef VMA_STATS_STRING_ENABLED + #define VMA_STATS_STRING_ENABLED 1 +#endif + +//////////////////////////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////////////////////////// +// +// INTERFACE +// +//////////////////////////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////////////////////////// + +// Sections for managing code placement in file, only for development purposes e.g. for convenient folding inside an IDE. +#ifndef _VMA_ENUM_DECLARATIONS + +/** +\addtogroup group_init +@{ +*/ + +/// Flags for created #VmaAllocator. +typedef enum VmaAllocatorCreateFlagBits +{ + /** \brief Allocator and all objects created from it will not be synchronized internally, so you must guarantee they are used from only one thread at a time or synchronized externally by you. + + Using this flag may increase performance because internal mutexes are not used. + */ + VMA_ALLOCATOR_CREATE_EXTERNALLY_SYNCHRONIZED_BIT = 0x00000001, + /** \brief Enables usage of VK_KHR_dedicated_allocation extension. + + The flag works only if VmaAllocatorCreateInfo::vulkanApiVersion `== VK_API_VERSION_1_0`. + When it is `VK_API_VERSION_1_1`, the flag is ignored because the extension has been promoted to Vulkan 1.1. + + Using this extension will automatically allocate dedicated blocks of memory for + some buffers and images instead of suballocating place for them out of bigger + memory blocks (as if you explicitly used #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT + flag) when it is recommended by the driver. It may improve performance on some + GPUs. + + You may set this flag only if you found out that following device extensions are + supported, you enabled them while creating Vulkan device passed as + VmaAllocatorCreateInfo::device, and you want them to be used internally by this + library: + + - VK_KHR_get_memory_requirements2 (device extension) + - VK_KHR_dedicated_allocation (device extension) + + When this flag is set, you can experience following warnings reported by Vulkan + validation layer. You can ignore them. + + > vkBindBufferMemory(): Binding memory to buffer 0x2d but vkGetBufferMemoryRequirements() has not been called on that buffer. + */ + VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT = 0x00000002, + /** + Enables usage of VK_KHR_bind_memory2 extension. + + The flag works only if VmaAllocatorCreateInfo::vulkanApiVersion `== VK_API_VERSION_1_0`. + When it is `VK_API_VERSION_1_1`, the flag is ignored because the extension has been promoted to Vulkan 1.1. + + You may set this flag only if you found out that this device extension is supported, + you enabled it while creating Vulkan device passed as VmaAllocatorCreateInfo::device, + and you want it to be used internally by this library. + + The extension provides functions `vkBindBufferMemory2KHR` and `vkBindImageMemory2KHR`, + which allow to pass a chain of `pNext` structures while binding. + This flag is required if you use `pNext` parameter in vmaBindBufferMemory2() or vmaBindImageMemory2(). + */ + VMA_ALLOCATOR_CREATE_KHR_BIND_MEMORY2_BIT = 0x00000004, + /** + Enables usage of VK_EXT_memory_budget extension. + + You may set this flag only if you found out that this device extension is supported, + you enabled it while creating Vulkan device passed as VmaAllocatorCreateInfo::device, + and you want it to be used internally by this library, along with another instance extension + VK_KHR_get_physical_device_properties2, which is required by it (or Vulkan 1.1, where this extension is promoted). + + The extension provides query for current memory usage and budget, which will probably + be more accurate than an estimation used by the library otherwise. + */ + VMA_ALLOCATOR_CREATE_EXT_MEMORY_BUDGET_BIT = 0x00000008, + /** + Enables usage of VK_AMD_device_coherent_memory extension. + + You may set this flag only if you: + + - found out that this device extension is supported and enabled it while creating Vulkan device passed as VmaAllocatorCreateInfo::device, + - checked that `VkPhysicalDeviceCoherentMemoryFeaturesAMD::deviceCoherentMemory` is true and set it while creating the Vulkan device, + - want it to be used internally by this library. + + The extension and accompanying device feature provide access to memory types with + `VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD` and `VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD` flags. + They are useful mostly for writing breadcrumb markers - a common method for debugging GPU crash/hang/TDR. + + When the extension is not enabled, such memory types are still enumerated, but their usage is illegal. + To protect from this error, if you don't create the allocator with this flag, it will refuse to allocate any memory or create a custom pool in such memory type, + returning `VK_ERROR_FEATURE_NOT_PRESENT`. + */ + VMA_ALLOCATOR_CREATE_AMD_DEVICE_COHERENT_MEMORY_BIT = 0x00000010, + /** + Enables usage of "buffer device address" feature, which allows you to use function + `vkGetBufferDeviceAddress*` to get raw GPU pointer to a buffer and pass it for usage inside a shader. + + You may set this flag only if you: + + 1. (For Vulkan version < 1.2) Found as available and enabled device extension + VK_KHR_buffer_device_address. + This extension is promoted to core Vulkan 1.2. + 2. Found as available and enabled device feature `VkPhysicalDeviceBufferDeviceAddressFeatures::bufferDeviceAddress`. + + When this flag is set, you can create buffers with `VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT` using VMA. + The library automatically adds `VK_MEMORY_ALLOCATE_DEVICE_ADDRESS_BIT` to + allocated memory blocks wherever it might be needed. + + For more information, see documentation chapter \ref enabling_buffer_device_address. + */ + VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT = 0x00000020, + /** + Enables usage of VK_EXT_memory_priority extension in the library. + + You may set this flag only if you found available and enabled this device extension, + along with `VkPhysicalDeviceMemoryPriorityFeaturesEXT::memoryPriority == VK_TRUE`, + while creating Vulkan device passed as VmaAllocatorCreateInfo::device. + + When this flag is used, VmaAllocationCreateInfo::priority and VmaPoolCreateInfo::priority + are used to set priorities of allocated Vulkan memory. Without it, these variables are ignored. + + A priority must be a floating-point value between 0 and 1, indicating the priority of the allocation relative to other memory allocations. + Larger values are higher priority. The granularity of the priorities is implementation-dependent. + It is automatically passed to every call to `vkAllocateMemory` done by the library using structure `VkMemoryPriorityAllocateInfoEXT`. + The value to be used for default priority is 0.5. + For more details, see the documentation of the VK_EXT_memory_priority extension. + */ + VMA_ALLOCATOR_CREATE_EXT_MEMORY_PRIORITY_BIT = 0x00000040, + + VMA_ALLOCATOR_CREATE_FLAG_BITS_MAX_ENUM = 0x7FFFFFFF +} VmaAllocatorCreateFlagBits; +/// See #VmaAllocatorCreateFlagBits. +typedef VkFlags VmaAllocatorCreateFlags; + +/** @} */ + +/** +\addtogroup group_alloc +@{ +*/ + +/// \brief Intended usage of the allocated memory. +typedef enum VmaMemoryUsage +{ + /** No intended memory usage specified. + Use other members of VmaAllocationCreateInfo to specify your requirements. + */ + VMA_MEMORY_USAGE_UNKNOWN = 0, + /** + \deprecated Obsolete, preserved for backward compatibility. + Prefers `VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT`. + */ + VMA_MEMORY_USAGE_GPU_ONLY = 1, + /** + \deprecated Obsolete, preserved for backward compatibility. + Guarantees `VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT` and `VK_MEMORY_PROPERTY_HOST_COHERENT_BIT`. + */ + VMA_MEMORY_USAGE_CPU_ONLY = 2, + /** + \deprecated Obsolete, preserved for backward compatibility. + Guarantees `VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT`, prefers `VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT`. + */ + VMA_MEMORY_USAGE_CPU_TO_GPU = 3, + /** + \deprecated Obsolete, preserved for backward compatibility. + Guarantees `VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT`, prefers `VK_MEMORY_PROPERTY_HOST_CACHED_BIT`. + */ + VMA_MEMORY_USAGE_GPU_TO_CPU = 4, + /** + \deprecated Obsolete, preserved for backward compatibility. + Prefers not `VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT`. + */ + VMA_MEMORY_USAGE_CPU_COPY = 5, + /** + Lazily allocated GPU memory having `VK_MEMORY_PROPERTY_LAZILY_ALLOCATED_BIT`. + Exists mostly on mobile platforms. Using it on desktop PC or other GPUs with no such memory type present will fail the allocation. + + Usage: Memory for transient attachment images (color attachments, depth attachments etc.), created with `VK_IMAGE_USAGE_TRANSIENT_ATTACHMENT_BIT`. + + Allocations with this usage are always created as dedicated - it implies #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. + */ + VMA_MEMORY_USAGE_GPU_LAZILY_ALLOCATED = 6, + /** + Selects best memory type automatically. + This flag is recommended for most common use cases. + + When using this flag, if you want to map the allocation (using vmaMapMemory() or #VMA_ALLOCATION_CREATE_MAPPED_BIT), + you must pass one of the flags: #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT + in VmaAllocationCreateInfo::flags. + + It can be used only with functions that let the library know `VkBufferCreateInfo` or `VkImageCreateInfo`, e.g. + vmaCreateBuffer(), vmaCreateImage(), vmaFindMemoryTypeIndexForBufferInfo(), vmaFindMemoryTypeIndexForImageInfo() + and not with generic memory allocation functions. + */ + VMA_MEMORY_USAGE_AUTO = 7, + /** + Selects best memory type automatically with preference for GPU (device) memory. + + When using this flag, if you want to map the allocation (using vmaMapMemory() or #VMA_ALLOCATION_CREATE_MAPPED_BIT), + you must pass one of the flags: #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT + in VmaAllocationCreateInfo::flags. + + It can be used only with functions that let the library know `VkBufferCreateInfo` or `VkImageCreateInfo`, e.g. + vmaCreateBuffer(), vmaCreateImage(), vmaFindMemoryTypeIndexForBufferInfo(), vmaFindMemoryTypeIndexForImageInfo() + and not with generic memory allocation functions. + */ + VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE = 8, + /** + Selects best memory type automatically with preference for CPU (host) memory. + + When using this flag, if you want to map the allocation (using vmaMapMemory() or #VMA_ALLOCATION_CREATE_MAPPED_BIT), + you must pass one of the flags: #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT + in VmaAllocationCreateInfo::flags. + + It can be used only with functions that let the library know `VkBufferCreateInfo` or `VkImageCreateInfo`, e.g. + vmaCreateBuffer(), vmaCreateImage(), vmaFindMemoryTypeIndexForBufferInfo(), vmaFindMemoryTypeIndexForImageInfo() + and not with generic memory allocation functions. + */ + VMA_MEMORY_USAGE_AUTO_PREFER_HOST = 9, + + VMA_MEMORY_USAGE_MAX_ENUM = 0x7FFFFFFF +} VmaMemoryUsage; + +/// Flags to be passed as VmaAllocationCreateInfo::flags. +typedef enum VmaAllocationCreateFlagBits +{ + /** \brief Set this flag if the allocation should have its own memory block. + + Use it for special, big resources, like fullscreen images used as attachments. + */ + VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT = 0x00000001, + + /** \brief Set this flag to only try to allocate from existing `VkDeviceMemory` blocks and never create new such block. + + If new allocation cannot be placed in any of the existing blocks, allocation + fails with `VK_ERROR_OUT_OF_DEVICE_MEMORY` error. + + You should not use #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT and + #VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT at the same time. It makes no sense. + */ + VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT = 0x00000002, + /** \brief Set this flag to use a memory that will be persistently mapped and retrieve pointer to it. + + Pointer to mapped memory will be returned through VmaAllocationInfo::pMappedData. + + It is valid to use this flag for allocation made from memory type that is not + `HOST_VISIBLE`. This flag is then ignored and memory is not mapped. This is + useful if you need an allocation that is efficient to use on GPU + (`DEVICE_LOCAL`) and still want to map it directly if possible on platforms that + support it (e.g. Intel GPU). + */ + VMA_ALLOCATION_CREATE_MAPPED_BIT = 0x00000004, + /** \deprecated Preserved for backward compatibility. Consider using vmaSetAllocationName() instead. + + Set this flag to treat VmaAllocationCreateInfo::pUserData as pointer to a + null-terminated string. Instead of copying pointer value, a local copy of the + string is made and stored in allocation's `pName`. The string is automatically + freed together with the allocation. It is also used in vmaBuildStatsString(). + */ + VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT = 0x00000020, + /** Allocation will be created from upper stack in a double stack pool. + + This flag is only allowed for custom pools created with #VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT flag. + */ + VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT = 0x00000040, + /** Create both buffer/image and allocation, but don't bind them together. + It is useful when you want to bind yourself to do some more advanced binding, e.g. using some extensions. + The flag is meaningful only with functions that bind by default: vmaCreateBuffer(), vmaCreateImage(). + Otherwise it is ignored. + + If you want to make sure the new buffer/image is not tied to the new memory allocation + through `VkMemoryDedicatedAllocateInfoKHR` structure in case the allocation ends up in its own memory block, + use also flag #VMA_ALLOCATION_CREATE_CAN_ALIAS_BIT. + */ + VMA_ALLOCATION_CREATE_DONT_BIND_BIT = 0x00000080, + /** Create allocation only if additional device memory required for it, if any, won't exceed + memory budget. Otherwise return `VK_ERROR_OUT_OF_DEVICE_MEMORY`. + */ + VMA_ALLOCATION_CREATE_WITHIN_BUDGET_BIT = 0x00000100, + /** \brief Set this flag if the allocated memory will have aliasing resources. + + Usage of this flag prevents supplying `VkMemoryDedicatedAllocateInfoKHR` when #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT is specified. + Otherwise created dedicated memory will not be suitable for aliasing resources, resulting in Vulkan Validation Layer errors. + */ + VMA_ALLOCATION_CREATE_CAN_ALIAS_BIT = 0x00000200, + /** + Requests possibility to map the allocation (using vmaMapMemory() or #VMA_ALLOCATION_CREATE_MAPPED_BIT). + + - If you use #VMA_MEMORY_USAGE_AUTO or other `VMA_MEMORY_USAGE_AUTO*` value, + you must use this flag to be able to map the allocation. Otherwise, mapping is incorrect. + - If you use other value of #VmaMemoryUsage, this flag is ignored and mapping is always possible in memory types that are `HOST_VISIBLE`. + This includes allocations created in \ref custom_memory_pools. + + Declares that mapped memory will only be written sequentially, e.g. using `memcpy()` or a loop writing number-by-number, + never read or accessed randomly, so a memory type can be selected that is uncached and write-combined. + + \warning Violating this declaration may work correctly, but will likely be very slow. + Watch out for implicit reads introduced by doing e.g. `pMappedData[i] += x;` + Better prepare your data in a local variable and `memcpy()` it to the mapped pointer all at once. + */ + VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT = 0x00000400, + /** + Requests possibility to map the allocation (using vmaMapMemory() or #VMA_ALLOCATION_CREATE_MAPPED_BIT). + + - If you use #VMA_MEMORY_USAGE_AUTO or other `VMA_MEMORY_USAGE_AUTO*` value, + you must use this flag to be able to map the allocation. Otherwise, mapping is incorrect. + - If you use other value of #VmaMemoryUsage, this flag is ignored and mapping is always possible in memory types that are `HOST_VISIBLE`. + This includes allocations created in \ref custom_memory_pools. + + Declares that mapped memory can be read, written, and accessed in random order, + so a `HOST_CACHED` memory type is required. + */ + VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT = 0x00000800, + /** + Together with #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT, + it says that despite request for host access, a not-`HOST_VISIBLE` memory type can be selected + if it may improve performance. + + By using this flag, you declare that you will check if the allocation ended up in a `HOST_VISIBLE` memory type + (e.g. using vmaGetAllocationMemoryProperties()) and if not, you will create some "staging" buffer and + issue an explicit transfer to write/read your data. + To prepare for this possibility, don't forget to add appropriate flags like + `VK_BUFFER_USAGE_TRANSFER_DST_BIT`, `VK_BUFFER_USAGE_TRANSFER_SRC_BIT` to the parameters of created buffer or image. + */ + VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT = 0x00001000, + /** Allocation strategy that chooses smallest possible free range for the allocation + to minimize memory usage and fragmentation, possibly at the expense of allocation time. + */ + VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT = 0x00010000, + /** Allocation strategy that chooses first suitable free range for the allocation - + not necessarily in terms of the smallest offset but the one that is easiest and fastest to find + to minimize allocation time, possibly at the expense of allocation quality. + */ + VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT = 0x00020000, + /** Allocation strategy that chooses always the lowest offset in available space. + This is not the most efficient strategy but achieves highly packed data. + Used internally by defragmentation, not recommended in typical usage. + */ + VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT = 0x00040000, + /** Alias to #VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT. + */ + VMA_ALLOCATION_CREATE_STRATEGY_BEST_FIT_BIT = VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT, + /** Alias to #VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT. + */ + VMA_ALLOCATION_CREATE_STRATEGY_FIRST_FIT_BIT = VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT, + /** A bit mask to extract only `STRATEGY` bits from entire set of flags. + */ + VMA_ALLOCATION_CREATE_STRATEGY_MASK = + VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT | + VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT | + VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT, + + VMA_ALLOCATION_CREATE_FLAG_BITS_MAX_ENUM = 0x7FFFFFFF +} VmaAllocationCreateFlagBits; +/// See #VmaAllocationCreateFlagBits. +typedef VkFlags VmaAllocationCreateFlags; + +/// Flags to be passed as VmaPoolCreateInfo::flags. +typedef enum VmaPoolCreateFlagBits +{ + /** \brief Use this flag if you always allocate only buffers and linear images or only optimal images out of this pool and so Buffer-Image Granularity can be ignored. + + This is an optional optimization flag. + + If you always allocate using vmaCreateBuffer(), vmaCreateImage(), + vmaAllocateMemoryForBuffer(), then you don't need to use it because allocator + knows exact type of your allocations so it can handle Buffer-Image Granularity + in the optimal way. + + If you also allocate using vmaAllocateMemoryForImage() or vmaAllocateMemory(), + exact type of such allocations is not known, so allocator must be conservative + in handling Buffer-Image Granularity, which can lead to suboptimal allocation + (wasted memory). In that case, if you can make sure you always allocate only + buffers and linear images or only optimal images out of this pool, use this flag + to make allocator disregard Buffer-Image Granularity and so make allocations + faster and more optimal. + */ + VMA_POOL_CREATE_IGNORE_BUFFER_IMAGE_GRANULARITY_BIT = 0x00000002, + + /** \brief Enables alternative, linear allocation algorithm in this pool. + + Specify this flag to enable linear allocation algorithm, which always creates + new allocations after last one and doesn't reuse space from allocations freed in + between. It trades memory consumption for simplified algorithm and data + structure, which has better performance and uses less memory for metadata. + + By using this flag, you can achieve behavior of free-at-once, stack, + ring buffer, and double stack. + For details, see documentation chapter \ref linear_algorithm. + */ + VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT = 0x00000004, + + /** Bit mask to extract only `ALGORITHM` bits from entire set of flags. + */ + VMA_POOL_CREATE_ALGORITHM_MASK = + VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT, + + VMA_POOL_CREATE_FLAG_BITS_MAX_ENUM = 0x7FFFFFFF +} VmaPoolCreateFlagBits; +/// Flags to be passed as VmaPoolCreateInfo::flags. See #VmaPoolCreateFlagBits. +typedef VkFlags VmaPoolCreateFlags; + +/// Flags to be passed as VmaDefragmentationInfo::flags. +typedef enum VmaDefragmentationFlagBits +{ + /* \brief Use simple but fast algorithm for defragmentation. + May not achieve best results but will require least time to compute and least allocations to copy. + */ + VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FAST_BIT = 0x1, + /* \brief Default defragmentation algorithm, applied also when no `ALGORITHM` flag is specified. + Offers a balance between defragmentation quality and the amount of allocations and bytes that need to be moved. + */ + VMA_DEFRAGMENTATION_FLAG_ALGORITHM_BALANCED_BIT = 0x2, + /* \brief Perform full defragmentation of memory. + Can result in notably more time to compute and allocations to copy, but will achieve best memory packing. + */ + VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FULL_BIT = 0x4, + /** \brief Use the most roboust algorithm at the cost of time to compute and number of copies to make. + Only available when bufferImageGranularity is greater than 1, since it aims to reduce + alignment issues between different types of resources. + Otherwise falls back to same behavior as #VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FULL_BIT. + */ + VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT = 0x8, + + /// A bit mask to extract only `ALGORITHM` bits from entire set of flags. + VMA_DEFRAGMENTATION_FLAG_ALGORITHM_MASK = + VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FAST_BIT | + VMA_DEFRAGMENTATION_FLAG_ALGORITHM_BALANCED_BIT | + VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FULL_BIT | + VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT, + + VMA_DEFRAGMENTATION_FLAG_BITS_MAX_ENUM = 0x7FFFFFFF +} VmaDefragmentationFlagBits; +/// See #VmaDefragmentationFlagBits. +typedef VkFlags VmaDefragmentationFlags; + +/// Operation performed on single defragmentation move. See structure #VmaDefragmentationMove. +typedef enum VmaDefragmentationMoveOperation +{ + /// Buffer/image has been recreated at `dstTmpAllocation`, data has been copied, old buffer/image has been destroyed. `srcAllocation` should be changed to point to the new place. This is the default value set by vmaBeginDefragmentationPass(). + VMA_DEFRAGMENTATION_MOVE_OPERATION_COPY = 0, + /// Set this value if you cannot move the allocation. New place reserved at `dstTmpAllocation` will be freed. `srcAllocation` will remain unchanged. + VMA_DEFRAGMENTATION_MOVE_OPERATION_IGNORE = 1, + /// Set this value if you decide to abandon the allocation and you destroyed the buffer/image. New place reserved at `dstTmpAllocation` will be freed, along with `srcAllocation`, which will be destroyed. + VMA_DEFRAGMENTATION_MOVE_OPERATION_DESTROY = 2, +} VmaDefragmentationMoveOperation; + +/** @} */ + +/** +\addtogroup group_virtual +@{ +*/ + +/// Flags to be passed as VmaVirtualBlockCreateInfo::flags. +typedef enum VmaVirtualBlockCreateFlagBits +{ + /** \brief Enables alternative, linear allocation algorithm in this virtual block. + + Specify this flag to enable linear allocation algorithm, which always creates + new allocations after last one and doesn't reuse space from allocations freed in + between. It trades memory consumption for simplified algorithm and data + structure, which has better performance and uses less memory for metadata. + + By using this flag, you can achieve behavior of free-at-once, stack, + ring buffer, and double stack. + For details, see documentation chapter \ref linear_algorithm. + */ + VMA_VIRTUAL_BLOCK_CREATE_LINEAR_ALGORITHM_BIT = 0x00000001, + + /** \brief Bit mask to extract only `ALGORITHM` bits from entire set of flags. + */ + VMA_VIRTUAL_BLOCK_CREATE_ALGORITHM_MASK = + VMA_VIRTUAL_BLOCK_CREATE_LINEAR_ALGORITHM_BIT, + + VMA_VIRTUAL_BLOCK_CREATE_FLAG_BITS_MAX_ENUM = 0x7FFFFFFF +} VmaVirtualBlockCreateFlagBits; +/// Flags to be passed as VmaVirtualBlockCreateInfo::flags. See #VmaVirtualBlockCreateFlagBits. +typedef VkFlags VmaVirtualBlockCreateFlags; + +/// Flags to be passed as VmaVirtualAllocationCreateInfo::flags. +typedef enum VmaVirtualAllocationCreateFlagBits +{ + /** \brief Allocation will be created from upper stack in a double stack pool. + + This flag is only allowed for virtual blocks created with #VMA_VIRTUAL_BLOCK_CREATE_LINEAR_ALGORITHM_BIT flag. + */ + VMA_VIRTUAL_ALLOCATION_CREATE_UPPER_ADDRESS_BIT = VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT, + /** \brief Allocation strategy that tries to minimize memory usage. + */ + VMA_VIRTUAL_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT = VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT, + /** \brief Allocation strategy that tries to minimize allocation time. + */ + VMA_VIRTUAL_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT = VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT, + /** Allocation strategy that chooses always the lowest offset in available space. + This is not the most efficient strategy but achieves highly packed data. + */ + VMA_VIRTUAL_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT = VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT, + /** \brief A bit mask to extract only `STRATEGY` bits from entire set of flags. + + These strategy flags are binary compatible with equivalent flags in #VmaAllocationCreateFlagBits. + */ + VMA_VIRTUAL_ALLOCATION_CREATE_STRATEGY_MASK = VMA_ALLOCATION_CREATE_STRATEGY_MASK, + + VMA_VIRTUAL_ALLOCATION_CREATE_FLAG_BITS_MAX_ENUM = 0x7FFFFFFF +} VmaVirtualAllocationCreateFlagBits; +/// Flags to be passed as VmaVirtualAllocationCreateInfo::flags. See #VmaVirtualAllocationCreateFlagBits. +typedef VkFlags VmaVirtualAllocationCreateFlags; + +/** @} */ + +#endif // _VMA_ENUM_DECLARATIONS + +#ifndef _VMA_DATA_TYPES_DECLARATIONS + +/** +\addtogroup group_init +@{ */ + +/** \struct VmaAllocator +\brief Represents main object of this library initialized. + +Fill structure #VmaAllocatorCreateInfo and call function vmaCreateAllocator() to create it. +Call function vmaDestroyAllocator() to destroy it. + +It is recommended to create just one object of this type per `VkDevice` object, +right after Vulkan is initialized and keep it alive until before Vulkan device is destroyed. +*/ +VK_DEFINE_HANDLE(VmaAllocator) + +/** @} */ + +/** +\addtogroup group_alloc +@{ +*/ + +/** \struct VmaPool +\brief Represents custom memory pool + +Fill structure VmaPoolCreateInfo and call function vmaCreatePool() to create it. +Call function vmaDestroyPool() to destroy it. + +For more information see [Custom memory pools](@ref choosing_memory_type_custom_memory_pools). +*/ +VK_DEFINE_HANDLE(VmaPool) + +/** \struct VmaAllocation +\brief Represents single memory allocation. + +It may be either dedicated block of `VkDeviceMemory` or a specific region of a bigger block of this type +plus unique offset. + +There are multiple ways to create such object. +You need to fill structure VmaAllocationCreateInfo. +For more information see [Choosing memory type](@ref choosing_memory_type). + +Although the library provides convenience functions that create Vulkan buffer or image, +allocate memory for it and bind them together, +binding of the allocation to a buffer or an image is out of scope of the allocation itself. +Allocation object can exist without buffer/image bound, +binding can be done manually by the user, and destruction of it can be done +independently of destruction of the allocation. + +The object also remembers its size and some other information. +To retrieve this information, use function vmaGetAllocationInfo() and inspect +returned structure VmaAllocationInfo. +*/ +VK_DEFINE_HANDLE(VmaAllocation) + +/** \struct VmaDefragmentationContext +\brief An opaque object that represents started defragmentation process. + +Fill structure #VmaDefragmentationInfo and call function vmaBeginDefragmentation() to create it. +Call function vmaEndDefragmentation() to destroy it. +*/ +VK_DEFINE_HANDLE(VmaDefragmentationContext) + +/** @} */ + +/** +\addtogroup group_virtual +@{ +*/ + +/** \struct VmaVirtualAllocation +\brief Represents single memory allocation done inside VmaVirtualBlock. + +Use it as a unique identifier to virtual allocation within the single block. + +Use value `VK_NULL_HANDLE` to represent a null/invalid allocation. +*/ +VK_DEFINE_NON_DISPATCHABLE_HANDLE(VmaVirtualAllocation) + +/** @} */ + +/** +\addtogroup group_virtual +@{ +*/ + +/** \struct VmaVirtualBlock +\brief Handle to a virtual block object that allows to use core allocation algorithm without allocating any real GPU memory. + +Fill in #VmaVirtualBlockCreateInfo structure and use vmaCreateVirtualBlock() to create it. Use vmaDestroyVirtualBlock() to destroy it. +For more information, see documentation chapter \ref virtual_allocator. + +This object is not thread-safe - should not be used from multiple threads simultaneously, must be synchronized externally. +*/ +VK_DEFINE_HANDLE(VmaVirtualBlock) + +/** @} */ + +/** +\addtogroup group_init +@{ +*/ + +/// Callback function called after successful vkAllocateMemory. +typedef void (VKAPI_PTR* PFN_vmaAllocateDeviceMemoryFunction)( + VmaAllocator VMA_NOT_NULL allocator, + uint32_t memoryType, + VkDeviceMemory VMA_NOT_NULL_NON_DISPATCHABLE memory, + VkDeviceSize size, + void* VMA_NULLABLE pUserData); + +/// Callback function called before vkFreeMemory. +typedef void (VKAPI_PTR* PFN_vmaFreeDeviceMemoryFunction)( + VmaAllocator VMA_NOT_NULL allocator, + uint32_t memoryType, + VkDeviceMemory VMA_NOT_NULL_NON_DISPATCHABLE memory, + VkDeviceSize size, + void* VMA_NULLABLE pUserData); + +/** \brief Set of callbacks that the library will call for `vkAllocateMemory` and `vkFreeMemory`. + +Provided for informative purpose, e.g. to gather statistics about number of +allocations or total amount of memory allocated in Vulkan. + +Used in VmaAllocatorCreateInfo::pDeviceMemoryCallbacks. +*/ +typedef struct VmaDeviceMemoryCallbacks +{ + /// Optional, can be null. + PFN_vmaAllocateDeviceMemoryFunction VMA_NULLABLE pfnAllocate; + /// Optional, can be null. + PFN_vmaFreeDeviceMemoryFunction VMA_NULLABLE pfnFree; + /// Optional, can be null. + void* VMA_NULLABLE pUserData; +} VmaDeviceMemoryCallbacks; + +/** \brief Pointers to some Vulkan functions - a subset used by the library. + +Used in VmaAllocatorCreateInfo::pVulkanFunctions. +*/ +typedef struct VmaVulkanFunctions +{ + /// Required when using VMA_DYNAMIC_VULKAN_FUNCTIONS. + PFN_vkGetInstanceProcAddr VMA_NULLABLE vkGetInstanceProcAddr; + /// Required when using VMA_DYNAMIC_VULKAN_FUNCTIONS. + PFN_vkGetDeviceProcAddr VMA_NULLABLE vkGetDeviceProcAddr; + PFN_vkGetPhysicalDeviceProperties VMA_NULLABLE vkGetPhysicalDeviceProperties; + PFN_vkGetPhysicalDeviceMemoryProperties VMA_NULLABLE vkGetPhysicalDeviceMemoryProperties; + PFN_vkAllocateMemory VMA_NULLABLE vkAllocateMemory; + PFN_vkFreeMemory VMA_NULLABLE vkFreeMemory; + PFN_vkMapMemory VMA_NULLABLE vkMapMemory; + PFN_vkUnmapMemory VMA_NULLABLE vkUnmapMemory; + PFN_vkFlushMappedMemoryRanges VMA_NULLABLE vkFlushMappedMemoryRanges; + PFN_vkInvalidateMappedMemoryRanges VMA_NULLABLE vkInvalidateMappedMemoryRanges; + PFN_vkBindBufferMemory VMA_NULLABLE vkBindBufferMemory; + PFN_vkBindImageMemory VMA_NULLABLE vkBindImageMemory; + PFN_vkGetBufferMemoryRequirements VMA_NULLABLE vkGetBufferMemoryRequirements; + PFN_vkGetImageMemoryRequirements VMA_NULLABLE vkGetImageMemoryRequirements; + PFN_vkCreateBuffer VMA_NULLABLE vkCreateBuffer; + PFN_vkDestroyBuffer VMA_NULLABLE vkDestroyBuffer; + PFN_vkCreateImage VMA_NULLABLE vkCreateImage; + PFN_vkDestroyImage VMA_NULLABLE vkDestroyImage; + PFN_vkCmdCopyBuffer VMA_NULLABLE vkCmdCopyBuffer; +#if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 + /// Fetch "vkGetBufferMemoryRequirements2" on Vulkan >= 1.1, fetch "vkGetBufferMemoryRequirements2KHR" when using VK_KHR_dedicated_allocation extension. + PFN_vkGetBufferMemoryRequirements2KHR VMA_NULLABLE vkGetBufferMemoryRequirements2KHR; + /// Fetch "vkGetImageMemoryRequirements2" on Vulkan >= 1.1, fetch "vkGetImageMemoryRequirements2KHR" when using VK_KHR_dedicated_allocation extension. + PFN_vkGetImageMemoryRequirements2KHR VMA_NULLABLE vkGetImageMemoryRequirements2KHR; +#endif +#if VMA_BIND_MEMORY2 || VMA_VULKAN_VERSION >= 1001000 + /// Fetch "vkBindBufferMemory2" on Vulkan >= 1.1, fetch "vkBindBufferMemory2KHR" when using VK_KHR_bind_memory2 extension. + PFN_vkBindBufferMemory2KHR VMA_NULLABLE vkBindBufferMemory2KHR; + /// Fetch "vkBindImageMemory2" on Vulkan >= 1.1, fetch "vkBindImageMemory2KHR" when using VK_KHR_bind_memory2 extension. + PFN_vkBindImageMemory2KHR VMA_NULLABLE vkBindImageMemory2KHR; +#endif +#if VMA_MEMORY_BUDGET || VMA_VULKAN_VERSION >= 1001000 + PFN_vkGetPhysicalDeviceMemoryProperties2KHR VMA_NULLABLE vkGetPhysicalDeviceMemoryProperties2KHR; +#endif +#if VMA_VULKAN_VERSION >= 1003000 + /// Fetch from "vkGetDeviceBufferMemoryRequirements" on Vulkan >= 1.3, but you can also fetch it from "vkGetDeviceBufferMemoryRequirementsKHR" if you enabled extension VK_KHR_maintenance4. + PFN_vkGetDeviceBufferMemoryRequirements VMA_NULLABLE vkGetDeviceBufferMemoryRequirements; + /// Fetch from "vkGetDeviceImageMemoryRequirements" on Vulkan >= 1.3, but you can also fetch it from "vkGetDeviceImageMemoryRequirementsKHR" if you enabled extension VK_KHR_maintenance4. + PFN_vkGetDeviceImageMemoryRequirements VMA_NULLABLE vkGetDeviceImageMemoryRequirements; +#endif +} VmaVulkanFunctions; + +/// Description of a Allocator to be created. +typedef struct VmaAllocatorCreateInfo +{ + /// Flags for created allocator. Use #VmaAllocatorCreateFlagBits enum. + VmaAllocatorCreateFlags flags; + /// Vulkan physical device. + /** It must be valid throughout whole lifetime of created allocator. */ + VkPhysicalDevice VMA_NOT_NULL physicalDevice; + /// Vulkan device. + /** It must be valid throughout whole lifetime of created allocator. */ + VkDevice VMA_NOT_NULL device; + /// Preferred size of a single `VkDeviceMemory` block to be allocated from large heaps > 1 GiB. Optional. + /** Set to 0 to use default, which is currently 256 MiB. */ + VkDeviceSize preferredLargeHeapBlockSize; + /// Custom CPU memory allocation callbacks. Optional. + /** Optional, can be null. When specified, will also be used for all CPU-side memory allocations. */ + const VkAllocationCallbacks* VMA_NULLABLE pAllocationCallbacks; + /// Informative callbacks for `vkAllocateMemory`, `vkFreeMemory`. Optional. + /** Optional, can be null. */ + const VmaDeviceMemoryCallbacks* VMA_NULLABLE pDeviceMemoryCallbacks; + /** \brief Either null or a pointer to an array of limits on maximum number of bytes that can be allocated out of particular Vulkan memory heap. + + If not NULL, it must be a pointer to an array of + `VkPhysicalDeviceMemoryProperties::memoryHeapCount` elements, defining limit on + maximum number of bytes that can be allocated out of particular Vulkan memory + heap. + + Any of the elements may be equal to `VK_WHOLE_SIZE`, which means no limit on that + heap. This is also the default in case of `pHeapSizeLimit` = NULL. + + If there is a limit defined for a heap: + + - If user tries to allocate more memory from that heap using this allocator, + the allocation fails with `VK_ERROR_OUT_OF_DEVICE_MEMORY`. + - If the limit is smaller than heap size reported in `VkMemoryHeap::size`, the + value of this limit will be reported instead when using vmaGetMemoryProperties(). + + Warning! Using this feature may not be equivalent to installing a GPU with + smaller amount of memory, because graphics driver doesn't necessary fail new + allocations with `VK_ERROR_OUT_OF_DEVICE_MEMORY` result when memory capacity is + exceeded. It may return success and just silently migrate some device memory + blocks to system RAM. This driver behavior can also be controlled using + VK_AMD_memory_overallocation_behavior extension. + */ + const VkDeviceSize* VMA_NULLABLE VMA_LEN_IF_NOT_NULL("VkPhysicalDeviceMemoryProperties::memoryHeapCount") pHeapSizeLimit; + + /** \brief Pointers to Vulkan functions. Can be null. + + For details see [Pointers to Vulkan functions](@ref config_Vulkan_functions). + */ + const VmaVulkanFunctions* VMA_NULLABLE pVulkanFunctions; + /** \brief Handle to Vulkan instance object. + + Starting from version 3.0.0 this member is no longer optional, it must be set! + */ + VkInstance VMA_NOT_NULL instance; + /** \brief Optional. The highest version of Vulkan that the application is designed to use. + + It must be a value in the format as created by macro `VK_MAKE_VERSION` or a constant like: `VK_API_VERSION_1_1`, `VK_API_VERSION_1_0`. + The patch version number specified is ignored. Only the major and minor versions are considered. + It must be less or equal (preferably equal) to value as passed to `vkCreateInstance` as `VkApplicationInfo::apiVersion`. + Only versions 1.0, 1.1, 1.2, 1.3 are supported by the current implementation. + Leaving it initialized to zero is equivalent to `VK_API_VERSION_1_0`. + */ + uint32_t vulkanApiVersion; +#if VMA_EXTERNAL_MEMORY + /** \brief Either null or a pointer to an array of external memory handle types for each Vulkan memory type. + + If not NULL, it must be a pointer to an array of `VkPhysicalDeviceMemoryProperties::memoryTypeCount` + elements, defining external memory handle types of particular Vulkan memory type, + to be passed using `VkExportMemoryAllocateInfoKHR`. + + Any of the elements may be equal to 0, which means not to use `VkExportMemoryAllocateInfoKHR` on this memory type. + This is also the default in case of `pTypeExternalMemoryHandleTypes` = NULL. + */ + const VkExternalMemoryHandleTypeFlagsKHR* VMA_NULLABLE VMA_LEN_IF_NOT_NULL("VkPhysicalDeviceMemoryProperties::memoryTypeCount") pTypeExternalMemoryHandleTypes; +#endif // #if VMA_EXTERNAL_MEMORY +} VmaAllocatorCreateInfo; + +/// Information about existing #VmaAllocator object. +typedef struct VmaAllocatorInfo +{ + /** \brief Handle to Vulkan instance object. + + This is the same value as has been passed through VmaAllocatorCreateInfo::instance. + */ + VkInstance VMA_NOT_NULL instance; + /** \brief Handle to Vulkan physical device object. + + This is the same value as has been passed through VmaAllocatorCreateInfo::physicalDevice. + */ + VkPhysicalDevice VMA_NOT_NULL physicalDevice; + /** \brief Handle to Vulkan device object. + + This is the same value as has been passed through VmaAllocatorCreateInfo::device. + */ + VkDevice VMA_NOT_NULL device; +} VmaAllocatorInfo; + +/** @} */ + +/** +\addtogroup group_stats +@{ +*/ + +/** \brief Calculated statistics of memory usage e.g. in a specific memory type, heap, custom pool, or total. + +These are fast to calculate. +See functions: vmaGetHeapBudgets(), vmaGetPoolStatistics(). +*/ +typedef struct VmaStatistics +{ + /** \brief Number of `VkDeviceMemory` objects - Vulkan memory blocks allocated. + */ + uint32_t blockCount; + /** \brief Number of #VmaAllocation objects allocated. + + Dedicated allocations have their own blocks, so each one adds 1 to `allocationCount` as well as `blockCount`. + */ + uint32_t allocationCount; + /** \brief Number of bytes allocated in `VkDeviceMemory` blocks. + + \note To avoid confusion, please be aware that what Vulkan calls an "allocation" - a whole `VkDeviceMemory` object + (e.g. as in `VkPhysicalDeviceLimits::maxMemoryAllocationCount`) is called a "block" in VMA, while VMA calls + "allocation" a #VmaAllocation object that represents a memory region sub-allocated from such block, usually for a single buffer or image. + */ + VkDeviceSize blockBytes; + /** \brief Total number of bytes occupied by all #VmaAllocation objects. + + Always less or equal than `blockBytes`. + Difference `(blockBytes - allocationBytes)` is the amount of memory allocated from Vulkan + but unused by any #VmaAllocation. + */ + VkDeviceSize allocationBytes; +} VmaStatistics; + +/** \brief More detailed statistics than #VmaStatistics. + +These are slower to calculate. Use for debugging purposes. +See functions: vmaCalculateStatistics(), vmaCalculatePoolStatistics(). + +Previous version of the statistics API provided averages, but they have been removed +because they can be easily calculated as: + +\code +VkDeviceSize allocationSizeAvg = detailedStats.statistics.allocationBytes / detailedStats.statistics.allocationCount; +VkDeviceSize unusedBytes = detailedStats.statistics.blockBytes - detailedStats.statistics.allocationBytes; +VkDeviceSize unusedRangeSizeAvg = unusedBytes / detailedStats.unusedRangeCount; +\endcode +*/ +typedef struct VmaDetailedStatistics +{ + /// Basic statistics. + VmaStatistics statistics; + /// Number of free ranges of memory between allocations. + uint32_t unusedRangeCount; + /// Smallest allocation size. `VK_WHOLE_SIZE` if there are 0 allocations. + VkDeviceSize allocationSizeMin; + /// Largest allocation size. 0 if there are 0 allocations. + VkDeviceSize allocationSizeMax; + /// Smallest empty range size. `VK_WHOLE_SIZE` if there are 0 empty ranges. + VkDeviceSize unusedRangeSizeMin; + /// Largest empty range size. 0 if there are 0 empty ranges. + VkDeviceSize unusedRangeSizeMax; +} VmaDetailedStatistics; + +/** \brief General statistics from current state of the Allocator - +total memory usage across all memory heaps and types. + +These are slower to calculate. Use for debugging purposes. +See function vmaCalculateStatistics(). +*/ +typedef struct VmaTotalStatistics +{ + VmaDetailedStatistics memoryType[VK_MAX_MEMORY_TYPES]; + VmaDetailedStatistics memoryHeap[VK_MAX_MEMORY_HEAPS]; + VmaDetailedStatistics total; +} VmaTotalStatistics; + +/** \brief Statistics of current memory usage and available budget for a specific memory heap. + +These are fast to calculate. +See function vmaGetHeapBudgets(). +*/ +typedef struct VmaBudget +{ + /** \brief Statistics fetched from the library. + */ + VmaStatistics statistics; + /** \brief Estimated current memory usage of the program, in bytes. + + Fetched from system using VK_EXT_memory_budget extension if enabled. + + It might be different than `statistics.blockBytes` (usually higher) due to additional implicit objects + also occupying the memory, like swapchain, pipelines, descriptor heaps, command buffers, or + `VkDeviceMemory` blocks allocated outside of this library, if any. + */ + VkDeviceSize usage; + /** \brief Estimated amount of memory available to the program, in bytes. + + Fetched from system using VK_EXT_memory_budget extension if enabled. + + It might be different (most probably smaller) than `VkMemoryHeap::size[heapIndex]` due to factors + external to the program, decided by the operating system. + Difference `budget - usage` is the amount of additional memory that can probably + be allocated without problems. Exceeding the budget may result in various problems. + */ + VkDeviceSize budget; +} VmaBudget; + +/** @} */ + +/** +\addtogroup group_alloc +@{ +*/ + +/** \brief Parameters of new #VmaAllocation. + +To be used with functions like vmaCreateBuffer(), vmaCreateImage(), and many others. +*/ +typedef struct VmaAllocationCreateInfo +{ + /// Use #VmaAllocationCreateFlagBits enum. + VmaAllocationCreateFlags flags; + /** \brief Intended usage of memory. + + You can leave #VMA_MEMORY_USAGE_UNKNOWN if you specify memory requirements in other way. \n + If `pool` is not null, this member is ignored. + */ + VmaMemoryUsage usage; + /** \brief Flags that must be set in a Memory Type chosen for an allocation. + + Leave 0 if you specify memory requirements in other way. \n + If `pool` is not null, this member is ignored.*/ + VkMemoryPropertyFlags requiredFlags; + /** \brief Flags that preferably should be set in a memory type chosen for an allocation. + + Set to 0 if no additional flags are preferred. \n + If `pool` is not null, this member is ignored. */ + VkMemoryPropertyFlags preferredFlags; + /** \brief Bitmask containing one bit set for every memory type acceptable for this allocation. + + Value 0 is equivalent to `UINT32_MAX` - it means any memory type is accepted if + it meets other requirements specified by this structure, with no further + restrictions on memory type index. \n + If `pool` is not null, this member is ignored. + */ + uint32_t memoryTypeBits; + /** \brief Pool that this allocation should be created in. + + Leave `VK_NULL_HANDLE` to allocate from default pool. If not null, members: + `usage`, `requiredFlags`, `preferredFlags`, `memoryTypeBits` are ignored. + */ + VmaPool VMA_NULLABLE pool; + /** \brief Custom general-purpose pointer that will be stored in #VmaAllocation, can be read as VmaAllocationInfo::pUserData and changed using vmaSetAllocationUserData(). + + If #VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT is used, it must be either + null or pointer to a null-terminated string. The string will be then copied to + internal buffer, so it doesn't need to be valid after allocation call. + */ + void* VMA_NULLABLE pUserData; + /** \brief A floating-point value between 0 and 1, indicating the priority of the allocation relative to other memory allocations. + + It is used only when #VMA_ALLOCATOR_CREATE_EXT_MEMORY_PRIORITY_BIT flag was used during creation of the #VmaAllocator object + and this allocation ends up as dedicated or is explicitly forced as dedicated using #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. + Otherwise, it has the priority of a memory block where it is placed and this variable is ignored. + */ + float priority; +} VmaAllocationCreateInfo; + +/// Describes parameter of created #VmaPool. +typedef struct VmaPoolCreateInfo +{ + /** \brief Vulkan memory type index to allocate this pool from. + */ + uint32_t memoryTypeIndex; + /** \brief Use combination of #VmaPoolCreateFlagBits. + */ + VmaPoolCreateFlags flags; + /** \brief Size of a single `VkDeviceMemory` block to be allocated as part of this pool, in bytes. Optional. + + Specify nonzero to set explicit, constant size of memory blocks used by this + pool. + + Leave 0 to use default and let the library manage block sizes automatically. + Sizes of particular blocks may vary. + In this case, the pool will also support dedicated allocations. + */ + VkDeviceSize blockSize; + /** \brief Minimum number of blocks to be always allocated in this pool, even if they stay empty. + + Set to 0 to have no preallocated blocks and allow the pool be completely empty. + */ + size_t minBlockCount; + /** \brief Maximum number of blocks that can be allocated in this pool. Optional. + + Set to 0 to use default, which is `SIZE_MAX`, which means no limit. + + Set to same value as VmaPoolCreateInfo::minBlockCount to have fixed amount of memory allocated + throughout whole lifetime of this pool. + */ + size_t maxBlockCount; + /** \brief A floating-point value between 0 and 1, indicating the priority of the allocations in this pool relative to other memory allocations. + + It is used only when #VMA_ALLOCATOR_CREATE_EXT_MEMORY_PRIORITY_BIT flag was used during creation of the #VmaAllocator object. + Otherwise, this variable is ignored. + */ + float priority; + /** \brief Additional minimum alignment to be used for all allocations created from this pool. Can be 0. + + Leave 0 (default) not to impose any additional alignment. If not 0, it must be a power of two. + It can be useful in cases where alignment returned by Vulkan by functions like `vkGetBufferMemoryRequirements` is not enough, + e.g. when doing interop with OpenGL. + */ + VkDeviceSize minAllocationAlignment; + /** \brief Additional `pNext` chain to be attached to `VkMemoryAllocateInfo` used for every allocation made by this pool. Optional. + + Optional, can be null. If not null, it must point to a `pNext` chain of structures that can be attached to `VkMemoryAllocateInfo`. + It can be useful for special needs such as adding `VkExportMemoryAllocateInfoKHR`. + Structures pointed by this member must remain alive and unchanged for the whole lifetime of the custom pool. + + Please note that some structures, e.g. `VkMemoryPriorityAllocateInfoEXT`, `VkMemoryDedicatedAllocateInfoKHR`, + can be attached automatically by this library when using other, more convenient of its features. + */ + void* VMA_NULLABLE pMemoryAllocateNext; +} VmaPoolCreateInfo; + +/** @} */ + +/** +\addtogroup group_alloc +@{ +*/ + +/// Parameters of #VmaAllocation objects, that can be retrieved using function vmaGetAllocationInfo(). +typedef struct VmaAllocationInfo +{ + /** \brief Memory type index that this allocation was allocated from. + + It never changes. + */ + uint32_t memoryType; + /** \brief Handle to Vulkan memory object. + + Same memory object can be shared by multiple allocations. + + It can change after the allocation is moved during \ref defragmentation. + */ + VkDeviceMemory VMA_NULLABLE_NON_DISPATCHABLE deviceMemory; + /** \brief Offset in `VkDeviceMemory` object to the beginning of this allocation, in bytes. `(deviceMemory, offset)` pair is unique to this allocation. + + You usually don't need to use this offset. If you create a buffer or an image together with the allocation using e.g. function + vmaCreateBuffer(), vmaCreateImage(), functions that operate on these resources refer to the beginning of the buffer or image, + not entire device memory block. Functions like vmaMapMemory(), vmaBindBufferMemory() also refer to the beginning of the allocation + and apply this offset automatically. + + It can change after the allocation is moved during \ref defragmentation. + */ + VkDeviceSize offset; + /** \brief Size of this allocation, in bytes. + + It never changes. + + \note Allocation size returned in this variable may be greater than the size + requested for the resource e.g. as `VkBufferCreateInfo::size`. Whole size of the + allocation is accessible for operations on memory e.g. using a pointer after + mapping with vmaMapMemory(), but operations on the resource e.g. using + `vkCmdCopyBuffer` must be limited to the size of the resource. + */ + VkDeviceSize size; + /** \brief Pointer to the beginning of this allocation as mapped data. + + If the allocation hasn't been mapped using vmaMapMemory() and hasn't been + created with #VMA_ALLOCATION_CREATE_MAPPED_BIT flag, this value is null. + + It can change after call to vmaMapMemory(), vmaUnmapMemory(). + It can also change after the allocation is moved during \ref defragmentation. + */ + void* VMA_NULLABLE pMappedData; + /** \brief Custom general-purpose pointer that was passed as VmaAllocationCreateInfo::pUserData or set using vmaSetAllocationUserData(). + + It can change after call to vmaSetAllocationUserData() for this allocation. + */ + void* VMA_NULLABLE pUserData; + /** \brief Custom allocation name that was set with vmaSetAllocationName(). + + It can change after call to vmaSetAllocationName() for this allocation. + + Another way to set custom name is to pass it in VmaAllocationCreateInfo::pUserData with + additional flag #VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT set [DEPRECATED]. + */ + const char* VMA_NULLABLE pName; +} VmaAllocationInfo; + +/** \brief Parameters for defragmentation. + +To be used with function vmaBeginDefragmentation(). +*/ +typedef struct VmaDefragmentationInfo +{ + /// \brief Use combination of #VmaDefragmentationFlagBits. + VmaDefragmentationFlags flags; + /** \brief Custom pool to be defragmented. + + If null then default pools will undergo defragmentation process. + */ + VmaPool VMA_NULLABLE pool; + /** \brief Maximum numbers of bytes that can be copied during single pass, while moving allocations to different places. + + `0` means no limit. + */ + VkDeviceSize maxBytesPerPass; + /** \brief Maximum number of allocations that can be moved during single pass to a different place. + + `0` means no limit. + */ + uint32_t maxAllocationsPerPass; +} VmaDefragmentationInfo; + +/// Single move of an allocation to be done for defragmentation. +typedef struct VmaDefragmentationMove +{ + /// Operation to be performed on the allocation by vmaEndDefragmentationPass(). Default value is #VMA_DEFRAGMENTATION_MOVE_OPERATION_COPY. You can modify it. + VmaDefragmentationMoveOperation operation; + /// Allocation that should be moved. + VmaAllocation VMA_NOT_NULL srcAllocation; + /** \brief Temporary allocation pointing to destination memory that will replace `srcAllocation`. + + \warning Do not store this allocation in your data structures! It exists only temporarily, for the duration of the defragmentation pass, + to be used for binding new buffer/image to the destination memory using e.g. vmaBindBufferMemory(). + vmaEndDefragmentationPass() will destroy it and make `srcAllocation` point to this memory. + */ + VmaAllocation VMA_NOT_NULL dstTmpAllocation; +} VmaDefragmentationMove; + +/** \brief Parameters for incremental defragmentation steps. + +To be used with function vmaBeginDefragmentationPass(). +*/ +typedef struct VmaDefragmentationPassMoveInfo +{ + /// Number of elements in the `pMoves` array. + uint32_t moveCount; + /** \brief Array of moves to be performed by the user in the current defragmentation pass. + + Pointer to an array of `moveCount` elements, owned by VMA, created in vmaBeginDefragmentationPass(), destroyed in vmaEndDefragmentationPass(). + + For each element, you should: + + 1. Create a new buffer/image in the place pointed by VmaDefragmentationMove::dstMemory + VmaDefragmentationMove::dstOffset. + 2. Copy data from the VmaDefragmentationMove::srcAllocation e.g. using `vkCmdCopyBuffer`, `vkCmdCopyImage`. + 3. Make sure these commands finished executing on the GPU. + 4. Destroy the old buffer/image. + + Only then you can finish defragmentation pass by calling vmaEndDefragmentationPass(). + After this call, the allocation will point to the new place in memory. + + Alternatively, if you cannot move specific allocation, you can set VmaDefragmentationMove::operation to #VMA_DEFRAGMENTATION_MOVE_OPERATION_IGNORE. + + Alternatively, if you decide you want to completely remove the allocation: + + 1. Destroy its buffer/image. + 2. Set VmaDefragmentationMove::operation to #VMA_DEFRAGMENTATION_MOVE_OPERATION_DESTROY. + + Then, after vmaEndDefragmentationPass() the allocation will be freed. + */ + VmaDefragmentationMove* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(moveCount) pMoves; +} VmaDefragmentationPassMoveInfo; + +/// Statistics returned for defragmentation process in function vmaEndDefragmentation(). +typedef struct VmaDefragmentationStats +{ + /// Total number of bytes that have been copied while moving allocations to different places. + VkDeviceSize bytesMoved; + /// Total number of bytes that have been released to the system by freeing empty `VkDeviceMemory` objects. + VkDeviceSize bytesFreed; + /// Number of allocations that have been moved to different places. + uint32_t allocationsMoved; + /// Number of empty `VkDeviceMemory` objects that have been released to the system. + uint32_t deviceMemoryBlocksFreed; +} VmaDefragmentationStats; + +/** @} */ + +/** +\addtogroup group_virtual +@{ +*/ + +/// Parameters of created #VmaVirtualBlock object to be passed to vmaCreateVirtualBlock(). +typedef struct VmaVirtualBlockCreateInfo +{ + /** \brief Total size of the virtual block. + + Sizes can be expressed in bytes or any units you want as long as you are consistent in using them. + For example, if you allocate from some array of structures, 1 can mean single instance of entire structure. + */ + VkDeviceSize size; + + /** \brief Use combination of #VmaVirtualBlockCreateFlagBits. + */ + VmaVirtualBlockCreateFlags flags; + + /** \brief Custom CPU memory allocation callbacks. Optional. + + Optional, can be null. When specified, they will be used for all CPU-side memory allocations. + */ + const VkAllocationCallbacks* VMA_NULLABLE pAllocationCallbacks; +} VmaVirtualBlockCreateInfo; + +/// Parameters of created virtual allocation to be passed to vmaVirtualAllocate(). +typedef struct VmaVirtualAllocationCreateInfo +{ + /** \brief Size of the allocation. + + Cannot be zero. + */ + VkDeviceSize size; + /** \brief Required alignment of the allocation. Optional. + + Must be power of two. Special value 0 has the same meaning as 1 - means no special alignment is required, so allocation can start at any offset. + */ + VkDeviceSize alignment; + /** \brief Use combination of #VmaVirtualAllocationCreateFlagBits. + */ + VmaVirtualAllocationCreateFlags flags; + /** \brief Custom pointer to be associated with the allocation. Optional. + + It can be any value and can be used for user-defined purposes. It can be fetched or changed later. + */ + void* VMA_NULLABLE pUserData; +} VmaVirtualAllocationCreateInfo; + +/// Parameters of an existing virtual allocation, returned by vmaGetVirtualAllocationInfo(). +typedef struct VmaVirtualAllocationInfo +{ + /** \brief Offset of the allocation. + + Offset at which the allocation was made. + */ + VkDeviceSize offset; + /** \brief Size of the allocation. + + Same value as passed in VmaVirtualAllocationCreateInfo::size. + */ + VkDeviceSize size; + /** \brief Custom pointer associated with the allocation. + + Same value as passed in VmaVirtualAllocationCreateInfo::pUserData or to vmaSetVirtualAllocationUserData(). + */ + void* VMA_NULLABLE pUserData; +} VmaVirtualAllocationInfo; + +/** @} */ + +#endif // _VMA_DATA_TYPES_DECLARATIONS + +#ifndef _VMA_FUNCTION_HEADERS + +/** +\addtogroup group_init +@{ +*/ + +/// Creates #VmaAllocator object. +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAllocator( + const VmaAllocatorCreateInfo* VMA_NOT_NULL pCreateInfo, + VmaAllocator VMA_NULLABLE* VMA_NOT_NULL pAllocator); + +/// Destroys allocator object. +VMA_CALL_PRE void VMA_CALL_POST vmaDestroyAllocator( + VmaAllocator VMA_NULLABLE allocator); + +/** \brief Returns information about existing #VmaAllocator object - handle to Vulkan device etc. + +It might be useful if you want to keep just the #VmaAllocator handle and fetch other required handles to +`VkPhysicalDevice`, `VkDevice` etc. every time using this function. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaGetAllocatorInfo( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocatorInfo* VMA_NOT_NULL pAllocatorInfo); + +/** +PhysicalDeviceProperties are fetched from physicalDevice by the allocator. +You can access it here, without fetching it again on your own. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaGetPhysicalDeviceProperties( + VmaAllocator VMA_NOT_NULL allocator, + const VkPhysicalDeviceProperties* VMA_NULLABLE* VMA_NOT_NULL ppPhysicalDeviceProperties); + +/** +PhysicalDeviceMemoryProperties are fetched from physicalDevice by the allocator. +You can access it here, without fetching it again on your own. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaGetMemoryProperties( + VmaAllocator VMA_NOT_NULL allocator, + const VkPhysicalDeviceMemoryProperties* VMA_NULLABLE* VMA_NOT_NULL ppPhysicalDeviceMemoryProperties); + +/** +\brief Given Memory Type Index, returns Property Flags of this memory type. + +This is just a convenience function. Same information can be obtained using +vmaGetMemoryProperties(). +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaGetMemoryTypeProperties( + VmaAllocator VMA_NOT_NULL allocator, + uint32_t memoryTypeIndex, + VkMemoryPropertyFlags* VMA_NOT_NULL pFlags); + +/** \brief Sets index of the current frame. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaSetCurrentFrameIndex( + VmaAllocator VMA_NOT_NULL allocator, + uint32_t frameIndex); + +/** @} */ + +/** +\addtogroup group_stats +@{ +*/ + +/** \brief Retrieves statistics from current state of the Allocator. + +This function is called "calculate" not "get" because it has to traverse all +internal data structures, so it may be quite slow. Use it for debugging purposes. +For faster but more brief statistics suitable to be called every frame or every allocation, +use vmaGetHeapBudgets(). + +Note that when using allocator from multiple threads, returned information may immediately +become outdated. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaCalculateStatistics( + VmaAllocator VMA_NOT_NULL allocator, + VmaTotalStatistics* VMA_NOT_NULL pStats); + +/** \brief Retrieves information about current memory usage and budget for all memory heaps. + +\param allocator +\param[out] pBudgets Must point to array with number of elements at least equal to number of memory heaps in physical device used. + +This function is called "get" not "calculate" because it is very fast, suitable to be called +every frame or every allocation. For more detailed statistics use vmaCalculateStatistics(). + +Note that when using allocator from multiple threads, returned information may immediately +become outdated. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaGetHeapBudgets( + VmaAllocator VMA_NOT_NULL allocator, + VmaBudget* VMA_NOT_NULL VMA_LEN_IF_NOT_NULL("VkPhysicalDeviceMemoryProperties::memoryHeapCount") pBudgets); + +/** @} */ + +/** +\addtogroup group_alloc +@{ +*/ + +/** +\brief Helps to find memoryTypeIndex, given memoryTypeBits and VmaAllocationCreateInfo. + +This algorithm tries to find a memory type that: + +- Is allowed by memoryTypeBits. +- Contains all the flags from pAllocationCreateInfo->requiredFlags. +- Matches intended usage. +- Has as many flags from pAllocationCreateInfo->preferredFlags as possible. + +\return Returns VK_ERROR_FEATURE_NOT_PRESENT if not found. Receiving such result +from this function or any other allocating function probably means that your +device doesn't support any memory type with requested features for the specific +type of resource you want to use it for. Please check parameters of your +resource, like image layout (OPTIMAL versus LINEAR) or mip level count. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaFindMemoryTypeIndex( + VmaAllocator VMA_NOT_NULL allocator, + uint32_t memoryTypeBits, + const VmaAllocationCreateInfo* VMA_NOT_NULL pAllocationCreateInfo, + uint32_t* VMA_NOT_NULL pMemoryTypeIndex); + +/** +\brief Helps to find memoryTypeIndex, given VkBufferCreateInfo and VmaAllocationCreateInfo. + +It can be useful e.g. to determine value to be used as VmaPoolCreateInfo::memoryTypeIndex. +It internally creates a temporary, dummy buffer that never has memory bound. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaFindMemoryTypeIndexForBufferInfo( + VmaAllocator VMA_NOT_NULL allocator, + const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, + const VmaAllocationCreateInfo* VMA_NOT_NULL pAllocationCreateInfo, + uint32_t* VMA_NOT_NULL pMemoryTypeIndex); + +/** +\brief Helps to find memoryTypeIndex, given VkImageCreateInfo and VmaAllocationCreateInfo. + +It can be useful e.g. to determine value to be used as VmaPoolCreateInfo::memoryTypeIndex. +It internally creates a temporary, dummy image that never has memory bound. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaFindMemoryTypeIndexForImageInfo( + VmaAllocator VMA_NOT_NULL allocator, + const VkImageCreateInfo* VMA_NOT_NULL pImageCreateInfo, + const VmaAllocationCreateInfo* VMA_NOT_NULL pAllocationCreateInfo, + uint32_t* VMA_NOT_NULL pMemoryTypeIndex); + +/** \brief Allocates Vulkan device memory and creates #VmaPool object. + +\param allocator Allocator object. +\param pCreateInfo Parameters of pool to create. +\param[out] pPool Handle to created pool. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreatePool( + VmaAllocator VMA_NOT_NULL allocator, + const VmaPoolCreateInfo* VMA_NOT_NULL pCreateInfo, + VmaPool VMA_NULLABLE* VMA_NOT_NULL pPool); + +/** \brief Destroys #VmaPool object and frees Vulkan device memory. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaDestroyPool( + VmaAllocator VMA_NOT_NULL allocator, + VmaPool VMA_NULLABLE pool); + +/** @} */ + +/** +\addtogroup group_stats +@{ +*/ + +/** \brief Retrieves statistics of existing #VmaPool object. + +\param allocator Allocator object. +\param pool Pool object. +\param[out] pPoolStats Statistics of specified pool. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaGetPoolStatistics( + VmaAllocator VMA_NOT_NULL allocator, + VmaPool VMA_NOT_NULL pool, + VmaStatistics* VMA_NOT_NULL pPoolStats); + +/** \brief Retrieves detailed statistics of existing #VmaPool object. + +\param allocator Allocator object. +\param pool Pool object. +\param[out] pPoolStats Statistics of specified pool. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaCalculatePoolStatistics( + VmaAllocator VMA_NOT_NULL allocator, + VmaPool VMA_NOT_NULL pool, + VmaDetailedStatistics* VMA_NOT_NULL pPoolStats); + +/** @} */ + +/** +\addtogroup group_alloc +@{ +*/ + +/** \brief Checks magic number in margins around all allocations in given memory pool in search for corruptions. + +Corruption detection is enabled only when `VMA_DEBUG_DETECT_CORRUPTION` macro is defined to nonzero, +`VMA_DEBUG_MARGIN` is defined to nonzero and the pool is created in memory type that is +`HOST_VISIBLE` and `HOST_COHERENT`. For more information, see [Corruption detection](@ref debugging_memory_usage_corruption_detection). + +Possible return values: + +- `VK_ERROR_FEATURE_NOT_PRESENT` - corruption detection is not enabled for specified pool. +- `VK_SUCCESS` - corruption detection has been performed and succeeded. +- `VK_ERROR_UNKNOWN` - corruption detection has been performed and found memory corruptions around one of the allocations. + `VMA_ASSERT` is also fired in that case. +- Other value: Error returned by Vulkan, e.g. memory mapping failure. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCheckPoolCorruption( + VmaAllocator VMA_NOT_NULL allocator, + VmaPool VMA_NOT_NULL pool); + +/** \brief Retrieves name of a custom pool. + +After the call `ppName` is either null or points to an internally-owned null-terminated string +containing name of the pool that was previously set. The pointer becomes invalid when the pool is +destroyed or its name is changed using vmaSetPoolName(). +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaGetPoolName( + VmaAllocator VMA_NOT_NULL allocator, + VmaPool VMA_NOT_NULL pool, + const char* VMA_NULLABLE* VMA_NOT_NULL ppName); + +/** \brief Sets name of a custom pool. + +`pName` can be either null or pointer to a null-terminated string with new name for the pool. +Function makes internal copy of the string, so it can be changed or freed immediately after this call. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaSetPoolName( + VmaAllocator VMA_NOT_NULL allocator, + VmaPool VMA_NOT_NULL pool, + const char* VMA_NULLABLE pName); + +/** \brief General purpose memory allocation. + +\param allocator +\param pVkMemoryRequirements +\param pCreateInfo +\param[out] pAllocation Handle to allocated memory. +\param[out] pAllocationInfo Optional. Information about allocated memory. It can be later fetched using function vmaGetAllocationInfo(). + +You should free the memory using vmaFreeMemory() or vmaFreeMemoryPages(). + +It is recommended to use vmaAllocateMemoryForBuffer(), vmaAllocateMemoryForImage(), +vmaCreateBuffer(), vmaCreateImage() instead whenever possible. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemory( + VmaAllocator VMA_NOT_NULL allocator, + const VkMemoryRequirements* VMA_NOT_NULL pVkMemoryRequirements, + const VmaAllocationCreateInfo* VMA_NOT_NULL pCreateInfo, + VmaAllocation VMA_NULLABLE* VMA_NOT_NULL pAllocation, + VmaAllocationInfo* VMA_NULLABLE pAllocationInfo); + +/** \brief General purpose memory allocation for multiple allocation objects at once. + +\param allocator Allocator object. +\param pVkMemoryRequirements Memory requirements for each allocation. +\param pCreateInfo Creation parameters for each allocation. +\param allocationCount Number of allocations to make. +\param[out] pAllocations Pointer to array that will be filled with handles to created allocations. +\param[out] pAllocationInfo Optional. Pointer to array that will be filled with parameters of created allocations. + +You should free the memory using vmaFreeMemory() or vmaFreeMemoryPages(). + +Word "pages" is just a suggestion to use this function to allocate pieces of memory needed for sparse binding. +It is just a general purpose allocation function able to make multiple allocations at once. +It may be internally optimized to be more efficient than calling vmaAllocateMemory() `allocationCount` times. + +All allocations are made using same parameters. All of them are created out of the same memory pool and type. +If any allocation fails, all allocations already made within this function call are also freed, so that when +returned result is not `VK_SUCCESS`, `pAllocation` array is always entirely filled with `VK_NULL_HANDLE`. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemoryPages( + VmaAllocator VMA_NOT_NULL allocator, + const VkMemoryRequirements* VMA_NOT_NULL VMA_LEN_IF_NOT_NULL(allocationCount) pVkMemoryRequirements, + const VmaAllocationCreateInfo* VMA_NOT_NULL VMA_LEN_IF_NOT_NULL(allocationCount) pCreateInfo, + size_t allocationCount, + VmaAllocation VMA_NULLABLE* VMA_NOT_NULL VMA_LEN_IF_NOT_NULL(allocationCount) pAllocations, + VmaAllocationInfo* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) pAllocationInfo); + +/** \brief Allocates memory suitable for given `VkBuffer`. + +\param allocator +\param buffer +\param pCreateInfo +\param[out] pAllocation Handle to allocated memory. +\param[out] pAllocationInfo Optional. Information about allocated memory. It can be later fetched using function vmaGetAllocationInfo(). + +It only creates #VmaAllocation. To bind the memory to the buffer, use vmaBindBufferMemory(). + +This is a special-purpose function. In most cases you should use vmaCreateBuffer(). + +You must free the allocation using vmaFreeMemory() when no longer needed. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemoryForBuffer( + VmaAllocator VMA_NOT_NULL allocator, + VkBuffer VMA_NOT_NULL_NON_DISPATCHABLE buffer, + const VmaAllocationCreateInfo* VMA_NOT_NULL pCreateInfo, + VmaAllocation VMA_NULLABLE* VMA_NOT_NULL pAllocation, + VmaAllocationInfo* VMA_NULLABLE pAllocationInfo); + +/** \brief Allocates memory suitable for given `VkImage`. + +\param allocator +\param image +\param pCreateInfo +\param[out] pAllocation Handle to allocated memory. +\param[out] pAllocationInfo Optional. Information about allocated memory. It can be later fetched using function vmaGetAllocationInfo(). + +It only creates #VmaAllocation. To bind the memory to the buffer, use vmaBindImageMemory(). + +This is a special-purpose function. In most cases you should use vmaCreateImage(). + +You must free the allocation using vmaFreeMemory() when no longer needed. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemoryForImage( + VmaAllocator VMA_NOT_NULL allocator, + VkImage VMA_NOT_NULL_NON_DISPATCHABLE image, + const VmaAllocationCreateInfo* VMA_NOT_NULL pCreateInfo, + VmaAllocation VMA_NULLABLE* VMA_NOT_NULL pAllocation, + VmaAllocationInfo* VMA_NULLABLE pAllocationInfo); + +/** \brief Frees memory previously allocated using vmaAllocateMemory(), vmaAllocateMemoryForBuffer(), or vmaAllocateMemoryForImage(). + +Passing `VK_NULL_HANDLE` as `allocation` is valid. Such function call is just skipped. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaFreeMemory( + VmaAllocator VMA_NOT_NULL allocator, + const VmaAllocation VMA_NULLABLE allocation); + +/** \brief Frees memory and destroys multiple allocations. + +Word "pages" is just a suggestion to use this function to free pieces of memory used for sparse binding. +It is just a general purpose function to free memory and destroy allocations made using e.g. vmaAllocateMemory(), +vmaAllocateMemoryPages() and other functions. +It may be internally optimized to be more efficient than calling vmaFreeMemory() `allocationCount` times. + +Allocations in `pAllocations` array can come from any memory pools and types. +Passing `VK_NULL_HANDLE` as elements of `pAllocations` array is valid. Such entries are just skipped. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaFreeMemoryPages( + VmaAllocator VMA_NOT_NULL allocator, + size_t allocationCount, + const VmaAllocation VMA_NULLABLE* VMA_NOT_NULL VMA_LEN_IF_NOT_NULL(allocationCount) pAllocations); + +/** \brief Returns current information about specified allocation. + +Current parameters of given allocation are returned in `pAllocationInfo`. + +Although this function doesn't lock any mutex, so it should be quite efficient, +you should avoid calling it too often. +You can retrieve same VmaAllocationInfo structure while creating your resource, from function +vmaCreateBuffer(), vmaCreateImage(). You can remember it if you are sure parameters don't change +(e.g. due to defragmentation). +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaGetAllocationInfo( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + VmaAllocationInfo* VMA_NOT_NULL pAllocationInfo); + +/** \brief Sets pUserData in given allocation to new value. + +The value of pointer `pUserData` is copied to allocation's `pUserData`. +It is opaque, so you can use it however you want - e.g. +as a pointer, ordinal number or some handle to you own data. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaSetAllocationUserData( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + void* VMA_NULLABLE pUserData); + +/** \brief Sets pName in given allocation to new value. + +`pName` must be either null, or pointer to a null-terminated string. The function +makes local copy of the string and sets it as allocation's `pName`. String +passed as pName doesn't need to be valid for whole lifetime of the allocation - +you can free it after this call. String previously pointed by allocation's +`pName` is freed from memory. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaSetAllocationName( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + const char* VMA_NULLABLE pName); + +/** +\brief Given an allocation, returns Property Flags of its memory type. + +This is just a convenience function. Same information can be obtained using +vmaGetAllocationInfo() + vmaGetMemoryProperties(). +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaGetAllocationMemoryProperties( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + VkMemoryPropertyFlags* VMA_NOT_NULL pFlags); + +/** \brief Maps memory represented by given allocation and returns pointer to it. + +Maps memory represented by given allocation to make it accessible to CPU code. +When succeeded, `*ppData` contains pointer to first byte of this memory. + +\warning +If the allocation is part of a bigger `VkDeviceMemory` block, returned pointer is +correctly offsetted to the beginning of region assigned to this particular allocation. +Unlike the result of `vkMapMemory`, it points to the allocation, not to the beginning of the whole block. +You should not add VmaAllocationInfo::offset to it! + +Mapping is internally reference-counted and synchronized, so despite raw Vulkan +function `vkMapMemory()` cannot be used to map same block of `VkDeviceMemory` +multiple times simultaneously, it is safe to call this function on allocations +assigned to the same memory block. Actual Vulkan memory will be mapped on first +mapping and unmapped on last unmapping. + +If the function succeeded, you must call vmaUnmapMemory() to unmap the +allocation when mapping is no longer needed or before freeing the allocation, at +the latest. + +It also safe to call this function multiple times on the same allocation. You +must call vmaUnmapMemory() same number of times as you called vmaMapMemory(). + +It is also safe to call this function on allocation created with +#VMA_ALLOCATION_CREATE_MAPPED_BIT flag. Its memory stays mapped all the time. +You must still call vmaUnmapMemory() same number of times as you called +vmaMapMemory(). You must not call vmaUnmapMemory() additional time to free the +"0-th" mapping made automatically due to #VMA_ALLOCATION_CREATE_MAPPED_BIT flag. + +This function fails when used on allocation made in memory type that is not +`HOST_VISIBLE`. + +This function doesn't automatically flush or invalidate caches. +If the allocation is made from a memory types that is not `HOST_COHERENT`, +you also need to use vmaInvalidateAllocation() / vmaFlushAllocation(), as required by Vulkan specification. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaMapMemory( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + void* VMA_NULLABLE* VMA_NOT_NULL ppData); + +/** \brief Unmaps memory represented by given allocation, mapped previously using vmaMapMemory(). + +For details, see description of vmaMapMemory(). + +This function doesn't automatically flush or invalidate caches. +If the allocation is made from a memory types that is not `HOST_COHERENT`, +you also need to use vmaInvalidateAllocation() / vmaFlushAllocation(), as required by Vulkan specification. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaUnmapMemory( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation); + +/** \brief Flushes memory of given allocation. + +Calls `vkFlushMappedMemoryRanges()` for memory associated with given range of given allocation. +It needs to be called after writing to a mapped memory for memory types that are not `HOST_COHERENT`. +Unmap operation doesn't do that automatically. + +- `offset` must be relative to the beginning of allocation. +- `size` can be `VK_WHOLE_SIZE`. It means all memory from `offset` the the end of given allocation. +- `offset` and `size` don't have to be aligned. + They are internally rounded down/up to multiply of `nonCoherentAtomSize`. +- If `size` is 0, this call is ignored. +- If memory type that the `allocation` belongs to is not `HOST_VISIBLE` or it is `HOST_COHERENT`, + this call is ignored. + +Warning! `offset` and `size` are relative to the contents of given `allocation`. +If you mean whole allocation, you can pass 0 and `VK_WHOLE_SIZE`, respectively. +Do not pass allocation's offset as `offset`!!! + +This function returns the `VkResult` from `vkFlushMappedMemoryRanges` if it is +called, otherwise `VK_SUCCESS`. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaFlushAllocation( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + VkDeviceSize offset, + VkDeviceSize size); + +/** \brief Invalidates memory of given allocation. + +Calls `vkInvalidateMappedMemoryRanges()` for memory associated with given range of given allocation. +It needs to be called before reading from a mapped memory for memory types that are not `HOST_COHERENT`. +Map operation doesn't do that automatically. + +- `offset` must be relative to the beginning of allocation. +- `size` can be `VK_WHOLE_SIZE`. It means all memory from `offset` the the end of given allocation. +- `offset` and `size` don't have to be aligned. + They are internally rounded down/up to multiply of `nonCoherentAtomSize`. +- If `size` is 0, this call is ignored. +- If memory type that the `allocation` belongs to is not `HOST_VISIBLE` or it is `HOST_COHERENT`, + this call is ignored. + +Warning! `offset` and `size` are relative to the contents of given `allocation`. +If you mean whole allocation, you can pass 0 and `VK_WHOLE_SIZE`, respectively. +Do not pass allocation's offset as `offset`!!! + +This function returns the `VkResult` from `vkInvalidateMappedMemoryRanges` if +it is called, otherwise `VK_SUCCESS`. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaInvalidateAllocation( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + VkDeviceSize offset, + VkDeviceSize size); + +/** \brief Flushes memory of given set of allocations. + +Calls `vkFlushMappedMemoryRanges()` for memory associated with given ranges of given allocations. +For more information, see documentation of vmaFlushAllocation(). + +\param allocator +\param allocationCount +\param allocations +\param offsets If not null, it must point to an array of offsets of regions to flush, relative to the beginning of respective allocations. Null means all ofsets are zero. +\param sizes If not null, it must point to an array of sizes of regions to flush in respective allocations. Null means `VK_WHOLE_SIZE` for all allocations. + +This function returns the `VkResult` from `vkFlushMappedMemoryRanges` if it is +called, otherwise `VK_SUCCESS`. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaFlushAllocations( + VmaAllocator VMA_NOT_NULL allocator, + uint32_t allocationCount, + const VmaAllocation VMA_NOT_NULL* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) allocations, + const VkDeviceSize* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) offsets, + const VkDeviceSize* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) sizes); + +/** \brief Invalidates memory of given set of allocations. + +Calls `vkInvalidateMappedMemoryRanges()` for memory associated with given ranges of given allocations. +For more information, see documentation of vmaInvalidateAllocation(). + +\param allocator +\param allocationCount +\param allocations +\param offsets If not null, it must point to an array of offsets of regions to flush, relative to the beginning of respective allocations. Null means all ofsets are zero. +\param sizes If not null, it must point to an array of sizes of regions to flush in respective allocations. Null means `VK_WHOLE_SIZE` for all allocations. + +This function returns the `VkResult` from `vkInvalidateMappedMemoryRanges` if it is +called, otherwise `VK_SUCCESS`. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaInvalidateAllocations( + VmaAllocator VMA_NOT_NULL allocator, + uint32_t allocationCount, + const VmaAllocation VMA_NOT_NULL* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) allocations, + const VkDeviceSize* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) offsets, + const VkDeviceSize* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) sizes); + +/** \brief Checks magic number in margins around all allocations in given memory types (in both default and custom pools) in search for corruptions. + +\param allocator +\param memoryTypeBits Bit mask, where each bit set means that a memory type with that index should be checked. + +Corruption detection is enabled only when `VMA_DEBUG_DETECT_CORRUPTION` macro is defined to nonzero, +`VMA_DEBUG_MARGIN` is defined to nonzero and only for memory types that are +`HOST_VISIBLE` and `HOST_COHERENT`. For more information, see [Corruption detection](@ref debugging_memory_usage_corruption_detection). + +Possible return values: + +- `VK_ERROR_FEATURE_NOT_PRESENT` - corruption detection is not enabled for any of specified memory types. +- `VK_SUCCESS` - corruption detection has been performed and succeeded. +- `VK_ERROR_UNKNOWN` - corruption detection has been performed and found memory corruptions around one of the allocations. + `VMA_ASSERT` is also fired in that case. +- Other value: Error returned by Vulkan, e.g. memory mapping failure. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCheckCorruption( + VmaAllocator VMA_NOT_NULL allocator, + uint32_t memoryTypeBits); + +/** \brief Begins defragmentation process. + +\param allocator Allocator object. +\param pInfo Structure filled with parameters of defragmentation. +\param[out] pContext Context object that must be passed to vmaEndDefragmentation() to finish defragmentation. +\returns +- `VK_SUCCESS` if defragmentation can begin. +- `VK_ERROR_FEATURE_NOT_PRESENT` if defragmentation is not supported. + +For more information about defragmentation, see documentation chapter: +[Defragmentation](@ref defragmentation). +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaBeginDefragmentation( + VmaAllocator VMA_NOT_NULL allocator, + const VmaDefragmentationInfo* VMA_NOT_NULL pInfo, + VmaDefragmentationContext VMA_NULLABLE* VMA_NOT_NULL pContext); + +/** \brief Ends defragmentation process. + +\param allocator Allocator object. +\param context Context object that has been created by vmaBeginDefragmentation(). +\param[out] pStats Optional stats for the defragmentation. Can be null. + +Use this function to finish defragmentation started by vmaBeginDefragmentation(). +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaEndDefragmentation( + VmaAllocator VMA_NOT_NULL allocator, + VmaDefragmentationContext VMA_NOT_NULL context, + VmaDefragmentationStats* VMA_NULLABLE pStats); + +/** \brief Starts single defragmentation pass. + +\param allocator Allocator object. +\param context Context object that has been created by vmaBeginDefragmentation(). +\param[out] pPassInfo Computed information for current pass. +\returns +- `VK_SUCCESS` if no more moves are possible. Then you can omit call to vmaEndDefragmentationPass() and simply end whole defragmentation. +- `VK_INCOMPLETE` if there are pending moves returned in `pPassInfo`. You need to perform them, call vmaEndDefragmentationPass(), + and then preferably try another pass with vmaBeginDefragmentationPass(). +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaBeginDefragmentationPass( + VmaAllocator VMA_NOT_NULL allocator, + VmaDefragmentationContext VMA_NOT_NULL context, + VmaDefragmentationPassMoveInfo* VMA_NOT_NULL pPassInfo); + +/** \brief Ends single defragmentation pass. + +\param allocator Allocator object. +\param context Context object that has been created by vmaBeginDefragmentation(). +\param pPassInfo Computed information for current pass filled by vmaBeginDefragmentationPass() and possibly modified by you. + +Returns `VK_SUCCESS` if no more moves are possible or `VK_INCOMPLETE` if more defragmentations are possible. + +Ends incremental defragmentation pass and commits all defragmentation moves from `pPassInfo`. +After this call: + +- Allocations at `pPassInfo[i].srcAllocation` that had `pPassInfo[i].operation ==` #VMA_DEFRAGMENTATION_MOVE_OPERATION_COPY + (which is the default) will be pointing to the new destination place. +- Allocation at `pPassInfo[i].srcAllocation` that had `pPassInfo[i].operation ==` #VMA_DEFRAGMENTATION_MOVE_OPERATION_DESTROY + will be freed. + +If no more moves are possible you can end whole defragmentation. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaEndDefragmentationPass( + VmaAllocator VMA_NOT_NULL allocator, + VmaDefragmentationContext VMA_NOT_NULL context, + VmaDefragmentationPassMoveInfo* VMA_NOT_NULL pPassInfo); + +/** \brief Binds buffer to allocation. + +Binds specified buffer to region of memory represented by specified allocation. +Gets `VkDeviceMemory` handle and offset from the allocation. +If you want to create a buffer, allocate memory for it and bind them together separately, +you should use this function for binding instead of standard `vkBindBufferMemory()`, +because it ensures proper synchronization so that when a `VkDeviceMemory` object is used by multiple +allocations, calls to `vkBind*Memory()` or `vkMapMemory()` won't happen from multiple threads simultaneously +(which is illegal in Vulkan). + +It is recommended to use function vmaCreateBuffer() instead of this one. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindBufferMemory( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + VkBuffer VMA_NOT_NULL_NON_DISPATCHABLE buffer); + +/** \brief Binds buffer to allocation with additional parameters. + +\param allocator +\param allocation +\param allocationLocalOffset Additional offset to be added while binding, relative to the beginning of the `allocation`. Normally it should be 0. +\param buffer +\param pNext A chain of structures to be attached to `VkBindBufferMemoryInfoKHR` structure used internally. Normally it should be null. + +This function is similar to vmaBindBufferMemory(), but it provides additional parameters. + +If `pNext` is not null, #VmaAllocator object must have been created with #VMA_ALLOCATOR_CREATE_KHR_BIND_MEMORY2_BIT flag +or with VmaAllocatorCreateInfo::vulkanApiVersion `>= VK_API_VERSION_1_1`. Otherwise the call fails. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindBufferMemory2( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + VkDeviceSize allocationLocalOffset, + VkBuffer VMA_NOT_NULL_NON_DISPATCHABLE buffer, + const void* VMA_NULLABLE pNext); + +/** \brief Binds image to allocation. + +Binds specified image to region of memory represented by specified allocation. +Gets `VkDeviceMemory` handle and offset from the allocation. +If you want to create an image, allocate memory for it and bind them together separately, +you should use this function for binding instead of standard `vkBindImageMemory()`, +because it ensures proper synchronization so that when a `VkDeviceMemory` object is used by multiple +allocations, calls to `vkBind*Memory()` or `vkMapMemory()` won't happen from multiple threads simultaneously +(which is illegal in Vulkan). + +It is recommended to use function vmaCreateImage() instead of this one. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindImageMemory( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + VkImage VMA_NOT_NULL_NON_DISPATCHABLE image); + +/** \brief Binds image to allocation with additional parameters. + +\param allocator +\param allocation +\param allocationLocalOffset Additional offset to be added while binding, relative to the beginning of the `allocation`. Normally it should be 0. +\param image +\param pNext A chain of structures to be attached to `VkBindImageMemoryInfoKHR` structure used internally. Normally it should be null. + +This function is similar to vmaBindImageMemory(), but it provides additional parameters. + +If `pNext` is not null, #VmaAllocator object must have been created with #VMA_ALLOCATOR_CREATE_KHR_BIND_MEMORY2_BIT flag +or with VmaAllocatorCreateInfo::vulkanApiVersion `>= VK_API_VERSION_1_1`. Otherwise the call fails. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindImageMemory2( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + VkDeviceSize allocationLocalOffset, + VkImage VMA_NOT_NULL_NON_DISPATCHABLE image, + const void* VMA_NULLABLE pNext); + +/** \brief Creates a new `VkBuffer`, allocates and binds memory for it. + +\param allocator +\param pBufferCreateInfo +\param pAllocationCreateInfo +\param[out] pBuffer Buffer that was created. +\param[out] pAllocation Allocation that was created. +\param[out] pAllocationInfo Optional. Information about allocated memory. It can be later fetched using function vmaGetAllocationInfo(). + +This function automatically: + +-# Creates buffer. +-# Allocates appropriate memory for it. +-# Binds the buffer with the memory. + +If any of these operations fail, buffer and allocation are not created, +returned value is negative error code, `*pBuffer` and `*pAllocation` are null. + +If the function succeeded, you must destroy both buffer and allocation when you +no longer need them using either convenience function vmaDestroyBuffer() or +separately, using `vkDestroyBuffer()` and vmaFreeMemory(). + +If #VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT flag was used, +VK_KHR_dedicated_allocation extension is used internally to query driver whether +it requires or prefers the new buffer to have dedicated allocation. If yes, +and if dedicated allocation is possible +(#VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT is not used), it creates dedicated +allocation for this buffer, just like when using +#VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. + +\note This function creates a new `VkBuffer`. Sub-allocation of parts of one large buffer, +although recommended as a good practice, is out of scope of this library and could be implemented +by the user as a higher-level logic on top of VMA. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateBuffer( + VmaAllocator VMA_NOT_NULL allocator, + const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, + const VmaAllocationCreateInfo* VMA_NOT_NULL pAllocationCreateInfo, + VkBuffer VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pBuffer, + VmaAllocation VMA_NULLABLE* VMA_NOT_NULL pAllocation, + VmaAllocationInfo* VMA_NULLABLE pAllocationInfo); + +/** \brief Creates a buffer with additional minimum alignment. + +Similar to vmaCreateBuffer() but provides additional parameter `minAlignment` which allows to specify custom, +minimum alignment to be used when placing the buffer inside a larger memory block, which may be needed e.g. +for interop with OpenGL. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateBufferWithAlignment( + VmaAllocator VMA_NOT_NULL allocator, + const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, + const VmaAllocationCreateInfo* VMA_NOT_NULL pAllocationCreateInfo, + VkDeviceSize minAlignment, + VkBuffer VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pBuffer, + VmaAllocation VMA_NULLABLE* VMA_NOT_NULL pAllocation, + VmaAllocationInfo* VMA_NULLABLE pAllocationInfo); + +/** \brief Creates a new `VkBuffer`, binds already created memory for it. + +\param allocator +\param allocation Allocation that provides memory to be used for binding new buffer to it. +\param pBufferCreateInfo +\param[out] pBuffer Buffer that was created. + +This function automatically: + +-# Creates buffer. +-# Binds the buffer with the supplied memory. + +If any of these operations fail, buffer is not created, +returned value is negative error code and `*pBuffer` is null. + +If the function succeeded, you must destroy the buffer when you +no longer need it using `vkDestroyBuffer()`. If you want to also destroy the corresponding +allocation you can use convenience function vmaDestroyBuffer(). + +\note There is a new version of this function augmented with parameter `allocationLocalOffset` - see vmaCreateAliasingBuffer2(). +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingBuffer( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, + VkBuffer VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pBuffer); + +/** \brief Creates a new `VkBuffer`, binds already created memory for it. + +\param allocator +\param allocation Allocation that provides memory to be used for binding new buffer to it. +\param allocationLocalOffset Additional offset to be added while binding, relative to the beginning of the allocation. Normally it should be 0. +\param pBufferCreateInfo +\param[out] pBuffer Buffer that was created. + +This function automatically: + +-# Creates buffer. +-# Binds the buffer with the supplied memory. + +If any of these operations fail, buffer is not created, +returned value is negative error code and `*pBuffer` is null. + +If the function succeeded, you must destroy the buffer when you +no longer need it using `vkDestroyBuffer()`. If you want to also destroy the corresponding +allocation you can use convenience function vmaDestroyBuffer(). + +\note This is a new version of the function augmented with parameter `allocationLocalOffset`. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingBuffer2( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + VkDeviceSize allocationLocalOffset, + const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, + VkBuffer VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pBuffer); + +/** \brief Destroys Vulkan buffer and frees allocated memory. + +This is just a convenience function equivalent to: + +\code +vkDestroyBuffer(device, buffer, allocationCallbacks); +vmaFreeMemory(allocator, allocation); +\endcode + +It is safe to pass null as buffer and/or allocation. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaDestroyBuffer( + VmaAllocator VMA_NOT_NULL allocator, + VkBuffer VMA_NULLABLE_NON_DISPATCHABLE buffer, + VmaAllocation VMA_NULLABLE allocation); + +/// Function similar to vmaCreateBuffer(). +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateImage( + VmaAllocator VMA_NOT_NULL allocator, + const VkImageCreateInfo* VMA_NOT_NULL pImageCreateInfo, + const VmaAllocationCreateInfo* VMA_NOT_NULL pAllocationCreateInfo, + VkImage VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pImage, + VmaAllocation VMA_NULLABLE* VMA_NOT_NULL pAllocation, + VmaAllocationInfo* VMA_NULLABLE pAllocationInfo); + +/// Function similar to vmaCreateAliasingBuffer() but for images. +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingImage( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + const VkImageCreateInfo* VMA_NOT_NULL pImageCreateInfo, + VkImage VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pImage); + +/// Function similar to vmaCreateAliasingBuffer2() but for images. +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingImage2( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + VkDeviceSize allocationLocalOffset, + const VkImageCreateInfo* VMA_NOT_NULL pImageCreateInfo, + VkImage VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pImage); + +/** \brief Destroys Vulkan image and frees allocated memory. + +This is just a convenience function equivalent to: + +\code +vkDestroyImage(device, image, allocationCallbacks); +vmaFreeMemory(allocator, allocation); +\endcode + +It is safe to pass null as image and/or allocation. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaDestroyImage( + VmaAllocator VMA_NOT_NULL allocator, + VkImage VMA_NULLABLE_NON_DISPATCHABLE image, + VmaAllocation VMA_NULLABLE allocation); + +/** @} */ + +/** +\addtogroup group_virtual +@{ +*/ + +/** \brief Creates new #VmaVirtualBlock object. + +\param pCreateInfo Parameters for creation. +\param[out] pVirtualBlock Returned virtual block object or `VMA_NULL` if creation failed. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateVirtualBlock( + const VmaVirtualBlockCreateInfo* VMA_NOT_NULL pCreateInfo, + VmaVirtualBlock VMA_NULLABLE* VMA_NOT_NULL pVirtualBlock); + +/** \brief Destroys #VmaVirtualBlock object. + +Please note that you should consciously handle virtual allocations that could remain unfreed in the block. +You should either free them individually using vmaVirtualFree() or call vmaClearVirtualBlock() +if you are sure this is what you want. If you do neither, an assert is called. + +If you keep pointers to some additional metadata associated with your virtual allocations in their `pUserData`, +don't forget to free them. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaDestroyVirtualBlock( + VmaVirtualBlock VMA_NULLABLE virtualBlock); + +/** \brief Returns true of the #VmaVirtualBlock is empty - contains 0 virtual allocations and has all its space available for new allocations. +*/ +VMA_CALL_PRE VkBool32 VMA_CALL_POST vmaIsVirtualBlockEmpty( + VmaVirtualBlock VMA_NOT_NULL virtualBlock); + +/** \brief Returns information about a specific virtual allocation within a virtual block, like its size and `pUserData` pointer. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaGetVirtualAllocationInfo( + VmaVirtualBlock VMA_NOT_NULL virtualBlock, + VmaVirtualAllocation VMA_NOT_NULL_NON_DISPATCHABLE allocation, VmaVirtualAllocationInfo* VMA_NOT_NULL pVirtualAllocInfo); + +/** \brief Allocates new virtual allocation inside given #VmaVirtualBlock. + +If the allocation fails due to not enough free space available, `VK_ERROR_OUT_OF_DEVICE_MEMORY` is returned +(despite the function doesn't ever allocate actual GPU memory). +`pAllocation` is then set to `VK_NULL_HANDLE` and `pOffset`, if not null, it set to `UINT64_MAX`. + +\param virtualBlock Virtual block +\param pCreateInfo Parameters for the allocation +\param[out] pAllocation Returned handle of the new allocation +\param[out] pOffset Returned offset of the new allocation. Optional, can be null. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaVirtualAllocate( + VmaVirtualBlock VMA_NOT_NULL virtualBlock, + const VmaVirtualAllocationCreateInfo* VMA_NOT_NULL pCreateInfo, + VmaVirtualAllocation VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pAllocation, + VkDeviceSize* VMA_NULLABLE pOffset); + +/** \brief Frees virtual allocation inside given #VmaVirtualBlock. + +It is correct to call this function with `allocation == VK_NULL_HANDLE` - it does nothing. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaVirtualFree( + VmaVirtualBlock VMA_NOT_NULL virtualBlock, + VmaVirtualAllocation VMA_NULLABLE_NON_DISPATCHABLE allocation); + +/** \brief Frees all virtual allocations inside given #VmaVirtualBlock. + +You must either call this function or free each virtual allocation individually with vmaVirtualFree() +before destroying a virtual block. Otherwise, an assert is called. + +If you keep pointer to some additional metadata associated with your virtual allocation in its `pUserData`, +don't forget to free it as well. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaClearVirtualBlock( + VmaVirtualBlock VMA_NOT_NULL virtualBlock); + +/** \brief Changes custom pointer associated with given virtual allocation. +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaSetVirtualAllocationUserData( + VmaVirtualBlock VMA_NOT_NULL virtualBlock, + VmaVirtualAllocation VMA_NOT_NULL_NON_DISPATCHABLE allocation, + void* VMA_NULLABLE pUserData); + +/** \brief Calculates and returns statistics about virtual allocations and memory usage in given #VmaVirtualBlock. + +This function is fast to call. For more detailed statistics, see vmaCalculateVirtualBlockStatistics(). +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaGetVirtualBlockStatistics( + VmaVirtualBlock VMA_NOT_NULL virtualBlock, + VmaStatistics* VMA_NOT_NULL pStats); + +/** \brief Calculates and returns detailed statistics about virtual allocations and memory usage in given #VmaVirtualBlock. + +This function is slow to call. Use for debugging purposes. +For less detailed statistics, see vmaGetVirtualBlockStatistics(). +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaCalculateVirtualBlockStatistics( + VmaVirtualBlock VMA_NOT_NULL virtualBlock, + VmaDetailedStatistics* VMA_NOT_NULL pStats); + +/** @} */ + +#if VMA_STATS_STRING_ENABLED +/** +\addtogroup group_stats +@{ +*/ + +/** \brief Builds and returns a null-terminated string in JSON format with information about given #VmaVirtualBlock. +\param virtualBlock Virtual block. +\param[out] ppStatsString Returned string. +\param detailedMap Pass `VK_FALSE` to only obtain statistics as returned by vmaCalculateVirtualBlockStatistics(). Pass `VK_TRUE` to also obtain full list of allocations and free spaces. + +Returned string must be freed using vmaFreeVirtualBlockStatsString(). +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaBuildVirtualBlockStatsString( + VmaVirtualBlock VMA_NOT_NULL virtualBlock, + char* VMA_NULLABLE* VMA_NOT_NULL ppStatsString, + VkBool32 detailedMap); + +/// Frees a string returned by vmaBuildVirtualBlockStatsString(). +VMA_CALL_PRE void VMA_CALL_POST vmaFreeVirtualBlockStatsString( + VmaVirtualBlock VMA_NOT_NULL virtualBlock, + char* VMA_NULLABLE pStatsString); + +/** \brief Builds and returns statistics as a null-terminated string in JSON format. +\param allocator +\param[out] ppStatsString Must be freed using vmaFreeStatsString() function. +\param detailedMap +*/ +VMA_CALL_PRE void VMA_CALL_POST vmaBuildStatsString( + VmaAllocator VMA_NOT_NULL allocator, + char* VMA_NULLABLE* VMA_NOT_NULL ppStatsString, + VkBool32 detailedMap); + +VMA_CALL_PRE void VMA_CALL_POST vmaFreeStatsString( + VmaAllocator VMA_NOT_NULL allocator, + char* VMA_NULLABLE pStatsString); + +/** @} */ + +#endif // VMA_STATS_STRING_ENABLED + +#endif // _VMA_FUNCTION_HEADERS + +#ifdef __cplusplus +} +#endif + +#endif // AMD_VULKAN_MEMORY_ALLOCATOR_H + +//////////////////////////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////////////////////////// +// +// IMPLEMENTATION +// +//////////////////////////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////////////////////////// + +// For Visual Studio IntelliSense. +#if defined(__cplusplus) && defined(__INTELLISENSE__) +#define VMA_IMPLEMENTATION +#endif + +#ifdef VMA_IMPLEMENTATION +#undef VMA_IMPLEMENTATION + +#include +#include +#include +#include +#include + +#ifdef _MSC_VER + #include // For functions like __popcnt, _BitScanForward etc. +#endif +#if __cplusplus >= 202002L || _MSVC_LANG >= 202002L // C++20 + #include // For std::popcount +#endif + +#if VMA_STATS_STRING_ENABLED + #include // For snprintf +#endif + +/******************************************************************************* +CONFIGURATION SECTION + +Define some of these macros before each #include of this header or change them +here if you need other then default behavior depending on your environment. +*/ +#ifndef _VMA_CONFIGURATION + +/* +Define this macro to 1 to make the library fetch pointers to Vulkan functions +internally, like: + + vulkanFunctions.vkAllocateMemory = &vkAllocateMemory; +*/ +#if !defined(VMA_STATIC_VULKAN_FUNCTIONS) && !defined(VK_NO_PROTOTYPES) + #define VMA_STATIC_VULKAN_FUNCTIONS 1 +#endif + +/* +Define this macro to 1 to make the library fetch pointers to Vulkan functions +internally, like: + + vulkanFunctions.vkAllocateMemory = (PFN_vkAllocateMemory)vkGetDeviceProcAddr(device, "vkAllocateMemory"); + +To use this feature in new versions of VMA you now have to pass +VmaVulkanFunctions::vkGetInstanceProcAddr and vkGetDeviceProcAddr as +VmaAllocatorCreateInfo::pVulkanFunctions. Other members can be null. +*/ +#if !defined(VMA_DYNAMIC_VULKAN_FUNCTIONS) + #define VMA_DYNAMIC_VULKAN_FUNCTIONS 1 +#endif + +#ifndef VMA_USE_STL_SHARED_MUTEX + #if __cplusplus >= 201703L || _MSVC_LANG >= 201703L // C++17 + #define VMA_USE_STL_SHARED_MUTEX 1 + // Visual studio defines __cplusplus properly only when passed additional parameter: /Zc:__cplusplus + // Otherwise it is always 199711L, despite shared_mutex works since Visual Studio 2015 Update 2. + #elif defined(_MSC_FULL_VER) && _MSC_FULL_VER >= 190023918 && __cplusplus == 199711L && _MSVC_LANG >= 201703L + #define VMA_USE_STL_SHARED_MUTEX 1 + #else + #define VMA_USE_STL_SHARED_MUTEX 0 + #endif +#endif + +/* +Define this macro to include custom header files without having to edit this file directly, e.g.: + + // Inside of "my_vma_configuration_user_includes.h": + + #include "my_custom_assert.h" // for MY_CUSTOM_ASSERT + #include "my_custom_min.h" // for my_custom_min + #include + #include + + // Inside a different file, which includes "vk_mem_alloc.h": + + #define VMA_CONFIGURATION_USER_INCLUDES_H "my_vma_configuration_user_includes.h" + #define VMA_ASSERT(expr) MY_CUSTOM_ASSERT(expr) + #define VMA_MIN(v1, v2) (my_custom_min(v1, v2)) + #include "vk_mem_alloc.h" + ... + +The following headers are used in this CONFIGURATION section only, so feel free to +remove them if not needed. +*/ +#if !defined(VMA_CONFIGURATION_USER_INCLUDES_H) + #include // for assert + #include // for min, max + #include +#else + #include VMA_CONFIGURATION_USER_INCLUDES_H +#endif + +#ifndef VMA_NULL + // Value used as null pointer. Define it to e.g.: nullptr, NULL, 0, (void*)0. + #define VMA_NULL nullptr +#endif + +#ifndef VMA_FALLTHROUGH + #if __cplusplus >= 201703L || _MSVC_LANG >= 201703L // C++17 + #define VMA_FALLTHROUGH [[fallthrough]] + #else + #define VMA_FALLTHROUGH + #endif +#endif + +// Normal assert to check for programmer's errors, especially in Debug configuration. +#ifndef VMA_ASSERT + #ifdef NDEBUG + #define VMA_ASSERT(expr) + #else + #define VMA_ASSERT(expr) assert(expr) + #endif +#endif + +// Assert that will be called very often, like inside data structures e.g. operator[]. +// Making it non-empty can make program slow. +#ifndef VMA_HEAVY_ASSERT + #ifdef NDEBUG + #define VMA_HEAVY_ASSERT(expr) + #else + #define VMA_HEAVY_ASSERT(expr) //VMA_ASSERT(expr) + #endif +#endif + +// If your compiler is not compatible with C++17 and definition of +// aligned_alloc() function is missing, uncommenting following line may help: + +//#include + +#if defined(__ANDROID_API__) && (__ANDROID_API__ < 16) +#include +static void* vma_aligned_alloc(size_t alignment, size_t size) +{ + // alignment must be >= sizeof(void*) + if(alignment < sizeof(void*)) + { + alignment = sizeof(void*); + } + + return memalign(alignment, size); +} +#elif defined(__APPLE__) || defined(__ANDROID__) || (defined(__linux__) && defined(__GLIBCXX__) && !defined(_GLIBCXX_HAVE_ALIGNED_ALLOC)) +#include + +#if defined(__APPLE__) +#include +#endif + +static void* vma_aligned_alloc(size_t alignment, size_t size) +{ + // Unfortunately, aligned_alloc causes VMA to crash due to it returning null pointers. (At least under 11.4) + // Therefore, for now disable this specific exception until a proper solution is found. + //#if defined(__APPLE__) && (defined(MAC_OS_X_VERSION_10_16) || defined(__IPHONE_14_0)) + //#if MAC_OS_X_VERSION_MAX_ALLOWED >= MAC_OS_X_VERSION_10_16 || __IPHONE_OS_VERSION_MAX_ALLOWED >= __IPHONE_14_0 + // // For C++14, usr/include/malloc/_malloc.h declares aligned_alloc()) only + // // with the MacOSX11.0 SDK in Xcode 12 (which is what adds + // // MAC_OS_X_VERSION_10_16), even though the function is marked + // // available for 10.15. That is why the preprocessor checks for 10.16 but + // // the __builtin_available checks for 10.15. + // // People who use C++17 could call aligned_alloc with the 10.15 SDK already. + // if (__builtin_available(macOS 10.15, iOS 13, *)) + // return aligned_alloc(alignment, size); + //#endif + //#endif + + // alignment must be >= sizeof(void*) + if(alignment < sizeof(void*)) + { + alignment = sizeof(void*); + } + + void *pointer; + if(posix_memalign(&pointer, alignment, size) == 0) + return pointer; + return VMA_NULL; +} +#elif defined(_WIN32) +static void* vma_aligned_alloc(size_t alignment, size_t size) +{ + return _aligned_malloc(size, alignment); +} +#elif __cplusplus >= 201703L || _MSVC_LANG >= 201703L // C++17 +static void* vma_aligned_alloc(size_t alignment, size_t size) +{ + return aligned_alloc(alignment, size); +} +#else +static void* vma_aligned_alloc(size_t alignment, size_t size) +{ + VMA_ASSERT(0 && "Could not implement aligned_alloc automatically. Please enable C++17 or later in your compiler or provide custom implementation of macro VMA_SYSTEM_ALIGNED_MALLOC (and VMA_SYSTEM_ALIGNED_FREE if needed) using the API of your system."); + return VMA_NULL; +} +#endif + +#if defined(_WIN32) +static void vma_aligned_free(void* ptr) +{ + _aligned_free(ptr); +} +#else +static void vma_aligned_free(void* VMA_NULLABLE ptr) +{ + free(ptr); +} +#endif + +#ifndef VMA_ALIGN_OF + #define VMA_ALIGN_OF(type) (alignof(type)) +#endif + +#ifndef VMA_SYSTEM_ALIGNED_MALLOC + #define VMA_SYSTEM_ALIGNED_MALLOC(size, alignment) vma_aligned_alloc((alignment), (size)) +#endif + +#ifndef VMA_SYSTEM_ALIGNED_FREE + // VMA_SYSTEM_FREE is the old name, but might have been defined by the user + #if defined(VMA_SYSTEM_FREE) + #define VMA_SYSTEM_ALIGNED_FREE(ptr) VMA_SYSTEM_FREE(ptr) + #else + #define VMA_SYSTEM_ALIGNED_FREE(ptr) vma_aligned_free(ptr) + #endif +#endif + +#ifndef VMA_COUNT_BITS_SET + // Returns number of bits set to 1 in (v) + #define VMA_COUNT_BITS_SET(v) VmaCountBitsSet(v) +#endif + +#ifndef VMA_BITSCAN_LSB + // Scans integer for index of first nonzero value from the Least Significant Bit (LSB). If mask is 0 then returns UINT8_MAX + #define VMA_BITSCAN_LSB(mask) VmaBitScanLSB(mask) +#endif + +#ifndef VMA_BITSCAN_MSB + // Scans integer for index of first nonzero value from the Most Significant Bit (MSB). If mask is 0 then returns UINT8_MAX + #define VMA_BITSCAN_MSB(mask) VmaBitScanMSB(mask) +#endif + +#ifndef VMA_MIN + #define VMA_MIN(v1, v2) ((std::min)((v1), (v2))) +#endif + +#ifndef VMA_MAX + #define VMA_MAX(v1, v2) ((std::max)((v1), (v2))) +#endif + +#ifndef VMA_SWAP + #define VMA_SWAP(v1, v2) std::swap((v1), (v2)) +#endif + +#ifndef VMA_SORT + #define VMA_SORT(beg, end, cmp) std::sort(beg, end, cmp) +#endif + +#ifndef VMA_DEBUG_LOG_FORMAT + #define VMA_DEBUG_LOG_FORMAT(format, ...) + /* + #define VMA_DEBUG_LOG_FORMAT(format, ...) do { \ + printf((format), __VA_ARGS__); \ + printf("\n"); \ + } while(false) + */ +#endif + +#ifndef VMA_DEBUG_LOG + #define VMA_DEBUG_LOG(str) VMA_DEBUG_LOG_FORMAT("%s", (str)) +#endif + +#ifndef VMA_CLASS_NO_COPY + #define VMA_CLASS_NO_COPY(className) \ + private: \ + className(const className&) = delete; \ + className& operator=(const className&) = delete; +#endif +#ifndef VMA_CLASS_NO_COPY_NO_MOVE + #define VMA_CLASS_NO_COPY_NO_MOVE(className) \ + private: \ + className(const className&) = delete; \ + className(className&&) = delete; \ + className& operator=(const className&) = delete; \ + className& operator=(className&&) = delete; +#endif + +// Define this macro to 1 to enable functions: vmaBuildStatsString, vmaFreeStatsString. +#if VMA_STATS_STRING_ENABLED + static inline void VmaUint32ToStr(char* VMA_NOT_NULL outStr, size_t strLen, uint32_t num) + { + snprintf(outStr, strLen, "%u", static_cast(num)); + } + static inline void VmaUint64ToStr(char* VMA_NOT_NULL outStr, size_t strLen, uint64_t num) + { + snprintf(outStr, strLen, "%llu", static_cast(num)); + } + static inline void VmaPtrToStr(char* VMA_NOT_NULL outStr, size_t strLen, const void* ptr) + { + snprintf(outStr, strLen, "%p", ptr); + } +#endif + +#ifndef VMA_MUTEX + class VmaMutex + { + VMA_CLASS_NO_COPY_NO_MOVE(VmaMutex) + public: + VmaMutex() { } + void Lock() { m_Mutex.lock(); } + void Unlock() { m_Mutex.unlock(); } + bool TryLock() { return m_Mutex.try_lock(); } + private: + std::mutex m_Mutex; + }; + #define VMA_MUTEX VmaMutex +#endif + +// Read-write mutex, where "read" is shared access, "write" is exclusive access. +#ifndef VMA_RW_MUTEX + #if VMA_USE_STL_SHARED_MUTEX + // Use std::shared_mutex from C++17. + #include + class VmaRWMutex + { + public: + void LockRead() { m_Mutex.lock_shared(); } + void UnlockRead() { m_Mutex.unlock_shared(); } + bool TryLockRead() { return m_Mutex.try_lock_shared(); } + void LockWrite() { m_Mutex.lock(); } + void UnlockWrite() { m_Mutex.unlock(); } + bool TryLockWrite() { return m_Mutex.try_lock(); } + private: + std::shared_mutex m_Mutex; + }; + #define VMA_RW_MUTEX VmaRWMutex + #elif defined(_WIN32) && defined(WINVER) && WINVER >= 0x0600 + // Use SRWLOCK from WinAPI. + // Minimum supported client = Windows Vista, server = Windows Server 2008. + class VmaRWMutex + { + public: + VmaRWMutex() { InitializeSRWLock(&m_Lock); } + void LockRead() { AcquireSRWLockShared(&m_Lock); } + void UnlockRead() { ReleaseSRWLockShared(&m_Lock); } + bool TryLockRead() { return TryAcquireSRWLockShared(&m_Lock) != FALSE; } + void LockWrite() { AcquireSRWLockExclusive(&m_Lock); } + void UnlockWrite() { ReleaseSRWLockExclusive(&m_Lock); } + bool TryLockWrite() { return TryAcquireSRWLockExclusive(&m_Lock) != FALSE; } + private: + SRWLOCK m_Lock; + }; + #define VMA_RW_MUTEX VmaRWMutex + #else + // Less efficient fallback: Use normal mutex. + class VmaRWMutex + { + public: + void LockRead() { m_Mutex.Lock(); } + void UnlockRead() { m_Mutex.Unlock(); } + bool TryLockRead() { return m_Mutex.TryLock(); } + void LockWrite() { m_Mutex.Lock(); } + void UnlockWrite() { m_Mutex.Unlock(); } + bool TryLockWrite() { return m_Mutex.TryLock(); } + private: + VMA_MUTEX m_Mutex; + }; + #define VMA_RW_MUTEX VmaRWMutex + #endif // #if VMA_USE_STL_SHARED_MUTEX +#endif // #ifndef VMA_RW_MUTEX + +/* +If providing your own implementation, you need to implement a subset of std::atomic. +*/ +#ifndef VMA_ATOMIC_UINT32 + #include + #define VMA_ATOMIC_UINT32 std::atomic +#endif + +#ifndef VMA_ATOMIC_UINT64 + #include + #define VMA_ATOMIC_UINT64 std::atomic +#endif + +#ifndef VMA_DEBUG_ALWAYS_DEDICATED_MEMORY + /** + Every allocation will have its own memory block. + Define to 1 for debugging purposes only. + */ + #define VMA_DEBUG_ALWAYS_DEDICATED_MEMORY (0) +#endif + +#ifndef VMA_MIN_ALIGNMENT + /** + Minimum alignment of all allocations, in bytes. + Set to more than 1 for debugging purposes. Must be power of two. + */ + #ifdef VMA_DEBUG_ALIGNMENT // Old name + #define VMA_MIN_ALIGNMENT VMA_DEBUG_ALIGNMENT + #else + #define VMA_MIN_ALIGNMENT (1) + #endif +#endif + +#ifndef VMA_DEBUG_MARGIN + /** + Minimum margin after every allocation, in bytes. + Set nonzero for debugging purposes only. + */ + #define VMA_DEBUG_MARGIN (0) +#endif + +#ifndef VMA_DEBUG_INITIALIZE_ALLOCATIONS + /** + Define this macro to 1 to automatically fill new allocations and destroyed + allocations with some bit pattern. + */ + #define VMA_DEBUG_INITIALIZE_ALLOCATIONS (0) +#endif + +#ifndef VMA_DEBUG_DETECT_CORRUPTION + /** + Define this macro to 1 together with non-zero value of VMA_DEBUG_MARGIN to + enable writing magic value to the margin after every allocation and + validating it, so that memory corruptions (out-of-bounds writes) are detected. + */ + #define VMA_DEBUG_DETECT_CORRUPTION (0) +#endif + +#ifndef VMA_DEBUG_GLOBAL_MUTEX + /** + Set this to 1 for debugging purposes only, to enable single mutex protecting all + entry calls to the library. Can be useful for debugging multithreading issues. + */ + #define VMA_DEBUG_GLOBAL_MUTEX (0) +#endif + +#ifndef VMA_DEBUG_MIN_BUFFER_IMAGE_GRANULARITY + /** + Minimum value for VkPhysicalDeviceLimits::bufferImageGranularity. + Set to more than 1 for debugging purposes only. Must be power of two. + */ + #define VMA_DEBUG_MIN_BUFFER_IMAGE_GRANULARITY (1) +#endif + +#ifndef VMA_DEBUG_DONT_EXCEED_MAX_MEMORY_ALLOCATION_COUNT + /* + Set this to 1 to make VMA never exceed VkPhysicalDeviceLimits::maxMemoryAllocationCount + and return error instead of leaving up to Vulkan implementation what to do in such cases. + */ + #define VMA_DEBUG_DONT_EXCEED_MAX_MEMORY_ALLOCATION_COUNT (0) +#endif + +#ifndef VMA_SMALL_HEAP_MAX_SIZE + /// Maximum size of a memory heap in Vulkan to consider it "small". + #define VMA_SMALL_HEAP_MAX_SIZE (1024ull * 1024 * 1024) +#endif + +#ifndef VMA_DEFAULT_LARGE_HEAP_BLOCK_SIZE + /// Default size of a block allocated as single VkDeviceMemory from a "large" heap. + #define VMA_DEFAULT_LARGE_HEAP_BLOCK_SIZE (256ull * 1024 * 1024) +#endif + +/* +Mapping hysteresis is a logic that launches when vmaMapMemory/vmaUnmapMemory is called +or a persistently mapped allocation is created and destroyed several times in a row. +It keeps additional +1 mapping of a device memory block to prevent calling actual +vkMapMemory/vkUnmapMemory too many times, which may improve performance and help +tools like RenderDoc. +*/ +#ifndef VMA_MAPPING_HYSTERESIS_ENABLED + #define VMA_MAPPING_HYSTERESIS_ENABLED 1 +#endif + +#define VMA_VALIDATE(cond) do { if(!(cond)) { \ + VMA_ASSERT(0 && "Validation failed: " #cond); \ + return false; \ + } } while(false) + +/******************************************************************************* +END OF CONFIGURATION +*/ +#endif // _VMA_CONFIGURATION + + +static const uint8_t VMA_ALLOCATION_FILL_PATTERN_CREATED = 0xDC; +static const uint8_t VMA_ALLOCATION_FILL_PATTERN_DESTROYED = 0xEF; +// Decimal 2139416166, float NaN, little-endian binary 66 E6 84 7F. +static const uint32_t VMA_CORRUPTION_DETECTION_MAGIC_VALUE = 0x7F84E666; + +// Copy of some Vulkan definitions so we don't need to check their existence just to handle few constants. +static const uint32_t VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD_COPY = 0x00000040; +static const uint32_t VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD_COPY = 0x00000080; +static const uint32_t VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT_COPY = 0x00020000; +static const uint32_t VK_IMAGE_CREATE_DISJOINT_BIT_COPY = 0x00000200; +static const int32_t VK_IMAGE_TILING_DRM_FORMAT_MODIFIER_EXT_COPY = 1000158000; +static const uint32_t VMA_ALLOCATION_INTERNAL_STRATEGY_MIN_OFFSET = 0x10000000u; +static const uint32_t VMA_ALLOCATION_TRY_COUNT = 32; +static const uint32_t VMA_VENDOR_ID_AMD = 4098; + +// This one is tricky. Vulkan specification defines this code as available since +// Vulkan 1.0, but doesn't actually define it in Vulkan SDK earlier than 1.2.131. +// See pull request #207. +#define VK_ERROR_UNKNOWN_COPY ((VkResult)-13) + + +#if VMA_STATS_STRING_ENABLED +// Correspond to values of enum VmaSuballocationType. +static const char* VMA_SUBALLOCATION_TYPE_NAMES[] = +{ + "FREE", + "UNKNOWN", + "BUFFER", + "IMAGE_UNKNOWN", + "IMAGE_LINEAR", + "IMAGE_OPTIMAL", +}; +#endif + +static VkAllocationCallbacks VmaEmptyAllocationCallbacks = + { VMA_NULL, VMA_NULL, VMA_NULL, VMA_NULL, VMA_NULL, VMA_NULL }; + + +#ifndef _VMA_ENUM_DECLARATIONS + +enum VmaSuballocationType +{ + VMA_SUBALLOCATION_TYPE_FREE = 0, + VMA_SUBALLOCATION_TYPE_UNKNOWN = 1, + VMA_SUBALLOCATION_TYPE_BUFFER = 2, + VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN = 3, + VMA_SUBALLOCATION_TYPE_IMAGE_LINEAR = 4, + VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL = 5, + VMA_SUBALLOCATION_TYPE_MAX_ENUM = 0x7FFFFFFF +}; + +enum VMA_CACHE_OPERATION +{ + VMA_CACHE_FLUSH, + VMA_CACHE_INVALIDATE +}; + +enum class VmaAllocationRequestType +{ + Normal, + TLSF, + // Used by "Linear" algorithm. + UpperAddress, + EndOf1st, + EndOf2nd, +}; + +#endif // _VMA_ENUM_DECLARATIONS + +#ifndef _VMA_FORWARD_DECLARATIONS +// Opaque handle used by allocation algorithms to identify single allocation in any conforming way. +VK_DEFINE_NON_DISPATCHABLE_HANDLE(VmaAllocHandle) + +struct VmaMutexLock; +struct VmaMutexLockRead; +struct VmaMutexLockWrite; + +template +struct AtomicTransactionalIncrement; + +template +struct VmaStlAllocator; + +template +class VmaVector; + +template +class VmaSmallVector; + +template +class VmaPoolAllocator; + +template +struct VmaListItem; + +template +class VmaRawList; + +template +class VmaList; + +template +class VmaIntrusiveLinkedList; + +// Unused in this version +#if 0 +template +struct VmaPair; +template +struct VmaPairFirstLess; + +template +class VmaMap; +#endif + +#if VMA_STATS_STRING_ENABLED +class VmaStringBuilder; +class VmaJsonWriter; +#endif + +class VmaDeviceMemoryBlock; + +struct VmaDedicatedAllocationListItemTraits; +class VmaDedicatedAllocationList; + +struct VmaSuballocation; +struct VmaSuballocationOffsetLess; +struct VmaSuballocationOffsetGreater; +struct VmaSuballocationItemSizeLess; + +typedef VmaList> VmaSuballocationList; + +struct VmaAllocationRequest; + +class VmaBlockMetadata; +class VmaBlockMetadata_Linear; +class VmaBlockMetadata_TLSF; + +class VmaBlockVector; + +struct VmaPoolListItemTraits; + +struct VmaCurrentBudgetData; + +class VmaAllocationObjectAllocator; + +#endif // _VMA_FORWARD_DECLARATIONS + + +#ifndef _VMA_FUNCTIONS + +/* +Returns number of bits set to 1 in (v). + +On specific platforms and compilers you can use instrinsics like: + +Visual Studio: + return __popcnt(v); +GCC, Clang: + return static_cast(__builtin_popcount(v)); + +Define macro VMA_COUNT_BITS_SET to provide your optimized implementation. +But you need to check in runtime whether user's CPU supports these, as some old processors don't. +*/ +static inline uint32_t VmaCountBitsSet(uint32_t v) +{ +#if __cplusplus >= 202002L || _MSVC_LANG >= 202002L // C++20 + return std::popcount(v); +#else + uint32_t c = v - ((v >> 1) & 0x55555555); + c = ((c >> 2) & 0x33333333) + (c & 0x33333333); + c = ((c >> 4) + c) & 0x0F0F0F0F; + c = ((c >> 8) + c) & 0x00FF00FF; + c = ((c >> 16) + c) & 0x0000FFFF; + return c; +#endif +} + +static inline uint8_t VmaBitScanLSB(uint64_t mask) +{ +#if defined(_MSC_VER) && defined(_WIN64) + unsigned long pos; + if (_BitScanForward64(&pos, mask)) + return static_cast(pos); + return UINT8_MAX; +#elif defined __GNUC__ || defined __clang__ + return static_cast(__builtin_ffsll(mask)) - 1U; +#else + uint8_t pos = 0; + uint64_t bit = 1; + do + { + if (mask & bit) + return pos; + bit <<= 1; + } while (pos++ < 63); + return UINT8_MAX; +#endif +} + +static inline uint8_t VmaBitScanLSB(uint32_t mask) +{ +#ifdef _MSC_VER + unsigned long pos; + if (_BitScanForward(&pos, mask)) + return static_cast(pos); + return UINT8_MAX; +#elif defined __GNUC__ || defined __clang__ + return static_cast(__builtin_ffs(mask)) - 1U; +#else + uint8_t pos = 0; + uint32_t bit = 1; + do + { + if (mask & bit) + return pos; + bit <<= 1; + } while (pos++ < 31); + return UINT8_MAX; +#endif +} + +static inline uint8_t VmaBitScanMSB(uint64_t mask) +{ +#if defined(_MSC_VER) && defined(_WIN64) + unsigned long pos; + if (_BitScanReverse64(&pos, mask)) + return static_cast(pos); +#elif defined __GNUC__ || defined __clang__ + if (mask) + return 63 - static_cast(__builtin_clzll(mask)); +#else + uint8_t pos = 63; + uint64_t bit = 1ULL << 63; + do + { + if (mask & bit) + return pos; + bit >>= 1; + } while (pos-- > 0); +#endif + return UINT8_MAX; +} + +static inline uint8_t VmaBitScanMSB(uint32_t mask) +{ +#ifdef _MSC_VER + unsigned long pos; + if (_BitScanReverse(&pos, mask)) + return static_cast(pos); +#elif defined __GNUC__ || defined __clang__ + if (mask) + return 31 - static_cast(__builtin_clz(mask)); +#else + uint8_t pos = 31; + uint32_t bit = 1UL << 31; + do + { + if (mask & bit) + return pos; + bit >>= 1; + } while (pos-- > 0); +#endif + return UINT8_MAX; +} + +/* +Returns true if given number is a power of two. +T must be unsigned integer number or signed integer but always nonnegative. +For 0 returns true. +*/ +template +inline bool VmaIsPow2(T x) +{ + return (x & (x - 1)) == 0; +} + +// Aligns given value up to nearest multiply of align value. For example: VmaAlignUp(11, 8) = 16. +// Use types like uint32_t, uint64_t as T. +template +static inline T VmaAlignUp(T val, T alignment) +{ + VMA_HEAVY_ASSERT(VmaIsPow2(alignment)); + return (val + alignment - 1) & ~(alignment - 1); +} + +// Aligns given value down to nearest multiply of align value. For example: VmaAlignDown(11, 8) = 8. +// Use types like uint32_t, uint64_t as T. +template +static inline T VmaAlignDown(T val, T alignment) +{ + VMA_HEAVY_ASSERT(VmaIsPow2(alignment)); + return val & ~(alignment - 1); +} + +// Division with mathematical rounding to nearest number. +template +static inline T VmaRoundDiv(T x, T y) +{ + return (x + (y / (T)2)) / y; +} + +// Divide by 'y' and round up to nearest integer. +template +static inline T VmaDivideRoundingUp(T x, T y) +{ + return (x + y - (T)1) / y; +} + +// Returns smallest power of 2 greater or equal to v. +static inline uint32_t VmaNextPow2(uint32_t v) +{ + v--; + v |= v >> 1; + v |= v >> 2; + v |= v >> 4; + v |= v >> 8; + v |= v >> 16; + v++; + return v; +} + +static inline uint64_t VmaNextPow2(uint64_t v) +{ + v--; + v |= v >> 1; + v |= v >> 2; + v |= v >> 4; + v |= v >> 8; + v |= v >> 16; + v |= v >> 32; + v++; + return v; +} + +// Returns largest power of 2 less or equal to v. +static inline uint32_t VmaPrevPow2(uint32_t v) +{ + v |= v >> 1; + v |= v >> 2; + v |= v >> 4; + v |= v >> 8; + v |= v >> 16; + v = v ^ (v >> 1); + return v; +} + +static inline uint64_t VmaPrevPow2(uint64_t v) +{ + v |= v >> 1; + v |= v >> 2; + v |= v >> 4; + v |= v >> 8; + v |= v >> 16; + v |= v >> 32; + v = v ^ (v >> 1); + return v; +} + +static inline bool VmaStrIsEmpty(const char* pStr) +{ + return pStr == VMA_NULL || *pStr == '\0'; +} + +/* +Returns true if two memory blocks occupy overlapping pages. +ResourceA must be in less memory offset than ResourceB. + +Algorithm is based on "Vulkan 1.0.39 - A Specification (with all registered Vulkan extensions)" +chapter 11.6 "Resource Memory Association", paragraph "Buffer-Image Granularity". +*/ +static inline bool VmaBlocksOnSamePage( + VkDeviceSize resourceAOffset, + VkDeviceSize resourceASize, + VkDeviceSize resourceBOffset, + VkDeviceSize pageSize) +{ + VMA_ASSERT(resourceAOffset + resourceASize <= resourceBOffset && resourceASize > 0 && pageSize > 0); + VkDeviceSize resourceAEnd = resourceAOffset + resourceASize - 1; + VkDeviceSize resourceAEndPage = resourceAEnd & ~(pageSize - 1); + VkDeviceSize resourceBStart = resourceBOffset; + VkDeviceSize resourceBStartPage = resourceBStart & ~(pageSize - 1); + return resourceAEndPage == resourceBStartPage; +} + +/* +Returns true if given suballocation types could conflict and must respect +VkPhysicalDeviceLimits::bufferImageGranularity. They conflict if one is buffer +or linear image and another one is optimal image. If type is unknown, behave +conservatively. +*/ +static inline bool VmaIsBufferImageGranularityConflict( + VmaSuballocationType suballocType1, + VmaSuballocationType suballocType2) +{ + if (suballocType1 > suballocType2) + { + VMA_SWAP(suballocType1, suballocType2); + } + + switch (suballocType1) + { + case VMA_SUBALLOCATION_TYPE_FREE: + return false; + case VMA_SUBALLOCATION_TYPE_UNKNOWN: + return true; + case VMA_SUBALLOCATION_TYPE_BUFFER: + return + suballocType2 == VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN || + suballocType2 == VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL; + case VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN: + return + suballocType2 == VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN || + suballocType2 == VMA_SUBALLOCATION_TYPE_IMAGE_LINEAR || + suballocType2 == VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL; + case VMA_SUBALLOCATION_TYPE_IMAGE_LINEAR: + return + suballocType2 == VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL; + case VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL: + return false; + default: + VMA_ASSERT(0); + return true; + } +} + +static void VmaWriteMagicValue(void* pData, VkDeviceSize offset) +{ +#if VMA_DEBUG_MARGIN > 0 && VMA_DEBUG_DETECT_CORRUPTION + uint32_t* pDst = (uint32_t*)((char*)pData + offset); + const size_t numberCount = VMA_DEBUG_MARGIN / sizeof(uint32_t); + for (size_t i = 0; i < numberCount; ++i, ++pDst) + { + *pDst = VMA_CORRUPTION_DETECTION_MAGIC_VALUE; + } +#else + // no-op +#endif +} + +static bool VmaValidateMagicValue(const void* pData, VkDeviceSize offset) +{ +#if VMA_DEBUG_MARGIN > 0 && VMA_DEBUG_DETECT_CORRUPTION + const uint32_t* pSrc = (const uint32_t*)((const char*)pData + offset); + const size_t numberCount = VMA_DEBUG_MARGIN / sizeof(uint32_t); + for (size_t i = 0; i < numberCount; ++i, ++pSrc) + { + if (*pSrc != VMA_CORRUPTION_DETECTION_MAGIC_VALUE) + { + return false; + } + } +#endif + return true; +} + +/* +Fills structure with parameters of an example buffer to be used for transfers +during GPU memory defragmentation. +*/ +static void VmaFillGpuDefragmentationBufferCreateInfo(VkBufferCreateInfo& outBufCreateInfo) +{ + memset(&outBufCreateInfo, 0, sizeof(outBufCreateInfo)); + outBufCreateInfo.sType = VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO; + outBufCreateInfo.usage = VK_BUFFER_USAGE_TRANSFER_SRC_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; + outBufCreateInfo.size = (VkDeviceSize)VMA_DEFAULT_LARGE_HEAP_BLOCK_SIZE; // Example size. +} + + +/* +Performs binary search and returns iterator to first element that is greater or +equal to (key), according to comparison (cmp). + +Cmp should return true if first argument is less than second argument. + +Returned value is the found element, if present in the collection or place where +new element with value (key) should be inserted. +*/ +template +static IterT VmaBinaryFindFirstNotLess(IterT beg, IterT end, const KeyT& key, const CmpLess& cmp) +{ + size_t down = 0, up = size_t(end - beg); + while (down < up) + { + const size_t mid = down + (up - down) / 2; // Overflow-safe midpoint calculation + if (cmp(*(beg + mid), key)) + { + down = mid + 1; + } + else + { + up = mid; + } + } + return beg + down; +} + +template +IterT VmaBinaryFindSorted(const IterT& beg, const IterT& end, const KeyT& value, const CmpLess& cmp) +{ + IterT it = VmaBinaryFindFirstNotLess( + beg, end, value, cmp); + if (it == end || + (!cmp(*it, value) && !cmp(value, *it))) + { + return it; + } + return end; +} + +/* +Returns true if all pointers in the array are not-null and unique. +Warning! O(n^2) complexity. Use only inside VMA_HEAVY_ASSERT. +T must be pointer type, e.g. VmaAllocation, VmaPool. +*/ +template +static bool VmaValidatePointerArray(uint32_t count, const T* arr) +{ + for (uint32_t i = 0; i < count; ++i) + { + const T iPtr = arr[i]; + if (iPtr == VMA_NULL) + { + return false; + } + for (uint32_t j = i + 1; j < count; ++j) + { + if (iPtr == arr[j]) + { + return false; + } + } + } + return true; +} + +template +static inline void VmaPnextChainPushFront(MainT* mainStruct, NewT* newStruct) +{ + newStruct->pNext = mainStruct->pNext; + mainStruct->pNext = newStruct; +} + +// This is the main algorithm that guides the selection of a memory type best for an allocation - +// converts usage to required/preferred/not preferred flags. +static bool FindMemoryPreferences( + bool isIntegratedGPU, + const VmaAllocationCreateInfo& allocCreateInfo, + VkFlags bufImgUsage, // VkBufferCreateInfo::usage or VkImageCreateInfo::usage. UINT32_MAX if unknown. + VkMemoryPropertyFlags& outRequiredFlags, + VkMemoryPropertyFlags& outPreferredFlags, + VkMemoryPropertyFlags& outNotPreferredFlags) +{ + outRequiredFlags = allocCreateInfo.requiredFlags; + outPreferredFlags = allocCreateInfo.preferredFlags; + outNotPreferredFlags = 0; + + switch(allocCreateInfo.usage) + { + case VMA_MEMORY_USAGE_UNKNOWN: + break; + case VMA_MEMORY_USAGE_GPU_ONLY: + if(!isIntegratedGPU || (outPreferredFlags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) == 0) + { + outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; + } + break; + case VMA_MEMORY_USAGE_CPU_ONLY: + outRequiredFlags |= VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT | VK_MEMORY_PROPERTY_HOST_COHERENT_BIT; + break; + case VMA_MEMORY_USAGE_CPU_TO_GPU: + outRequiredFlags |= VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT; + if(!isIntegratedGPU || (outPreferredFlags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) == 0) + { + outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; + } + break; + case VMA_MEMORY_USAGE_GPU_TO_CPU: + outRequiredFlags |= VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT; + outPreferredFlags |= VK_MEMORY_PROPERTY_HOST_CACHED_BIT; + break; + case VMA_MEMORY_USAGE_CPU_COPY: + outNotPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; + break; + case VMA_MEMORY_USAGE_GPU_LAZILY_ALLOCATED: + outRequiredFlags |= VK_MEMORY_PROPERTY_LAZILY_ALLOCATED_BIT; + break; + case VMA_MEMORY_USAGE_AUTO: + case VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE: + case VMA_MEMORY_USAGE_AUTO_PREFER_HOST: + { + if(bufImgUsage == UINT32_MAX) + { + VMA_ASSERT(0 && "VMA_MEMORY_USAGE_AUTO* values can only be used with functions like vmaCreateBuffer, vmaCreateImage so that the details of the created resource are known."); + return false; + } + // This relies on values of VK_IMAGE_USAGE_TRANSFER* being the same VK_BUFFER_IMAGE_TRANSFER*. + const bool deviceAccess = (bufImgUsage & ~(VK_BUFFER_USAGE_TRANSFER_DST_BIT | VK_BUFFER_USAGE_TRANSFER_SRC_BIT)) != 0; + const bool hostAccessSequentialWrite = (allocCreateInfo.flags & VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT) != 0; + const bool hostAccessRandom = (allocCreateInfo.flags & VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT) != 0; + const bool hostAccessAllowTransferInstead = (allocCreateInfo.flags & VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT) != 0; + const bool preferDevice = allocCreateInfo.usage == VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE; + const bool preferHost = allocCreateInfo.usage == VMA_MEMORY_USAGE_AUTO_PREFER_HOST; + + // CPU random access - e.g. a buffer written to or transferred from GPU to read back on CPU. + if(hostAccessRandom) + { + if(!isIntegratedGPU && deviceAccess && hostAccessAllowTransferInstead && !preferHost) + { + // Nice if it will end up in HOST_VISIBLE, but more importantly prefer DEVICE_LOCAL. + // Omitting HOST_VISIBLE here is intentional. + // In case there is DEVICE_LOCAL | HOST_VISIBLE | HOST_CACHED, it will pick that one. + // Otherwise, this will give same weight to DEVICE_LOCAL as HOST_VISIBLE | HOST_CACHED and select the former if occurs first on the list. + outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT | VK_MEMORY_PROPERTY_HOST_CACHED_BIT; + } + else + { + // Always CPU memory, cached. + outRequiredFlags |= VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT | VK_MEMORY_PROPERTY_HOST_CACHED_BIT; + } + } + // CPU sequential write - may be CPU or host-visible GPU memory, uncached and write-combined. + else if(hostAccessSequentialWrite) + { + // Want uncached and write-combined. + outNotPreferredFlags |= VK_MEMORY_PROPERTY_HOST_CACHED_BIT; + + if(!isIntegratedGPU && deviceAccess && hostAccessAllowTransferInstead && !preferHost) + { + outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT | VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT; + } + else + { + outRequiredFlags |= VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT; + // Direct GPU access, CPU sequential write (e.g. a dynamic uniform buffer updated every frame) + if(deviceAccess) + { + // Could go to CPU memory or GPU BAR/unified. Up to the user to decide. If no preference, choose GPU memory. + if(preferHost) + outNotPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; + else + outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; + } + // GPU no direct access, CPU sequential write (e.g. an upload buffer to be transferred to the GPU) + else + { + // Could go to CPU memory or GPU BAR/unified. Up to the user to decide. If no preference, choose CPU memory. + if(preferDevice) + outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; + else + outNotPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; + } + } + } + // No CPU access + else + { + // GPU access, no CPU access (e.g. a color attachment image) - prefer GPU memory + if(deviceAccess) + { + // ...unless there is a clear preference from the user not to do so. + if(preferHost) + outNotPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; + else + outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; + } + // No direct GPU access, no CPU access, just transfers. + // It may be staging copy intended for e.g. preserving image for next frame (then better GPU memory) or + // a "swap file" copy to free some GPU memory (then better CPU memory). + // Up to the user to decide. If no preferece, assume the former and choose GPU memory. + if(preferHost) + outNotPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; + else + outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; + } + break; + } + default: + VMA_ASSERT(0); + } + + // Avoid DEVICE_COHERENT unless explicitly requested. + if(((allocCreateInfo.requiredFlags | allocCreateInfo.preferredFlags) & + (VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD_COPY | VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD_COPY)) == 0) + { + outNotPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD_COPY; + } + + return true; +} + +//////////////////////////////////////////////////////////////////////////////// +// Memory allocation + +static void* VmaMalloc(const VkAllocationCallbacks* pAllocationCallbacks, size_t size, size_t alignment) +{ + void* result = VMA_NULL; + if ((pAllocationCallbacks != VMA_NULL) && + (pAllocationCallbacks->pfnAllocation != VMA_NULL)) + { + result = (*pAllocationCallbacks->pfnAllocation)( + pAllocationCallbacks->pUserData, + size, + alignment, + VK_SYSTEM_ALLOCATION_SCOPE_OBJECT); + } + else + { + result = VMA_SYSTEM_ALIGNED_MALLOC(size, alignment); + } + VMA_ASSERT(result != VMA_NULL && "CPU memory allocation failed."); + return result; +} + +static void VmaFree(const VkAllocationCallbacks* pAllocationCallbacks, void* ptr) +{ + if ((pAllocationCallbacks != VMA_NULL) && + (pAllocationCallbacks->pfnFree != VMA_NULL)) + { + (*pAllocationCallbacks->pfnFree)(pAllocationCallbacks->pUserData, ptr); + } + else + { + VMA_SYSTEM_ALIGNED_FREE(ptr); + } +} + +template +static T* VmaAllocate(const VkAllocationCallbacks* pAllocationCallbacks) +{ + return (T*)VmaMalloc(pAllocationCallbacks, sizeof(T), VMA_ALIGN_OF(T)); +} + +template +static T* VmaAllocateArray(const VkAllocationCallbacks* pAllocationCallbacks, size_t count) +{ + return (T*)VmaMalloc(pAllocationCallbacks, sizeof(T) * count, VMA_ALIGN_OF(T)); +} + +#define vma_new(allocator, type) new(VmaAllocate(allocator))(type) + +#define vma_new_array(allocator, type, count) new(VmaAllocateArray((allocator), (count)))(type) + +template +static void vma_delete(const VkAllocationCallbacks* pAllocationCallbacks, T* ptr) +{ + ptr->~T(); + VmaFree(pAllocationCallbacks, ptr); +} + +template +static void vma_delete_array(const VkAllocationCallbacks* pAllocationCallbacks, T* ptr, size_t count) +{ + if (ptr != VMA_NULL) + { + for (size_t i = count; i--; ) + { + ptr[i].~T(); + } + VmaFree(pAllocationCallbacks, ptr); + } +} + +static char* VmaCreateStringCopy(const VkAllocationCallbacks* allocs, const char* srcStr) +{ + if (srcStr != VMA_NULL) + { + const size_t len = strlen(srcStr); + char* const result = vma_new_array(allocs, char, len + 1); + memcpy(result, srcStr, len + 1); + return result; + } + return VMA_NULL; +} + +#if VMA_STATS_STRING_ENABLED +static char* VmaCreateStringCopy(const VkAllocationCallbacks* allocs, const char* srcStr, size_t strLen) +{ + if (srcStr != VMA_NULL) + { + char* const result = vma_new_array(allocs, char, strLen + 1); + memcpy(result, srcStr, strLen); + result[strLen] = '\0'; + return result; + } + return VMA_NULL; +} +#endif // VMA_STATS_STRING_ENABLED + +static void VmaFreeString(const VkAllocationCallbacks* allocs, char* str) +{ + if (str != VMA_NULL) + { + const size_t len = strlen(str); + vma_delete_array(allocs, str, len + 1); + } +} + +template +size_t VmaVectorInsertSorted(VectorT& vector, const typename VectorT::value_type& value) +{ + const size_t indexToInsert = VmaBinaryFindFirstNotLess( + vector.data(), + vector.data() + vector.size(), + value, + CmpLess()) - vector.data(); + VmaVectorInsert(vector, indexToInsert, value); + return indexToInsert; +} + +template +bool VmaVectorRemoveSorted(VectorT& vector, const typename VectorT::value_type& value) +{ + CmpLess comparator; + typename VectorT::iterator it = VmaBinaryFindFirstNotLess( + vector.begin(), + vector.end(), + value, + comparator); + if ((it != vector.end()) && !comparator(*it, value) && !comparator(value, *it)) + { + size_t indexToRemove = it - vector.begin(); + VmaVectorRemove(vector, indexToRemove); + return true; + } + return false; +} +#endif // _VMA_FUNCTIONS + +#ifndef _VMA_STATISTICS_FUNCTIONS + +static void VmaClearStatistics(VmaStatistics& outStats) +{ + outStats.blockCount = 0; + outStats.allocationCount = 0; + outStats.blockBytes = 0; + outStats.allocationBytes = 0; +} + +static void VmaAddStatistics(VmaStatistics& inoutStats, const VmaStatistics& src) +{ + inoutStats.blockCount += src.blockCount; + inoutStats.allocationCount += src.allocationCount; + inoutStats.blockBytes += src.blockBytes; + inoutStats.allocationBytes += src.allocationBytes; +} + +static void VmaClearDetailedStatistics(VmaDetailedStatistics& outStats) +{ + VmaClearStatistics(outStats.statistics); + outStats.unusedRangeCount = 0; + outStats.allocationSizeMin = VK_WHOLE_SIZE; + outStats.allocationSizeMax = 0; + outStats.unusedRangeSizeMin = VK_WHOLE_SIZE; + outStats.unusedRangeSizeMax = 0; +} + +static void VmaAddDetailedStatisticsAllocation(VmaDetailedStatistics& inoutStats, VkDeviceSize size) +{ + inoutStats.statistics.allocationCount++; + inoutStats.statistics.allocationBytes += size; + inoutStats.allocationSizeMin = VMA_MIN(inoutStats.allocationSizeMin, size); + inoutStats.allocationSizeMax = VMA_MAX(inoutStats.allocationSizeMax, size); +} + +static void VmaAddDetailedStatisticsUnusedRange(VmaDetailedStatistics& inoutStats, VkDeviceSize size) +{ + inoutStats.unusedRangeCount++; + inoutStats.unusedRangeSizeMin = VMA_MIN(inoutStats.unusedRangeSizeMin, size); + inoutStats.unusedRangeSizeMax = VMA_MAX(inoutStats.unusedRangeSizeMax, size); +} + +static void VmaAddDetailedStatistics(VmaDetailedStatistics& inoutStats, const VmaDetailedStatistics& src) +{ + VmaAddStatistics(inoutStats.statistics, src.statistics); + inoutStats.unusedRangeCount += src.unusedRangeCount; + inoutStats.allocationSizeMin = VMA_MIN(inoutStats.allocationSizeMin, src.allocationSizeMin); + inoutStats.allocationSizeMax = VMA_MAX(inoutStats.allocationSizeMax, src.allocationSizeMax); + inoutStats.unusedRangeSizeMin = VMA_MIN(inoutStats.unusedRangeSizeMin, src.unusedRangeSizeMin); + inoutStats.unusedRangeSizeMax = VMA_MAX(inoutStats.unusedRangeSizeMax, src.unusedRangeSizeMax); +} + +#endif // _VMA_STATISTICS_FUNCTIONS + +#ifndef _VMA_MUTEX_LOCK +// Helper RAII class to lock a mutex in constructor and unlock it in destructor (at the end of scope). +struct VmaMutexLock +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaMutexLock) +public: + VmaMutexLock(VMA_MUTEX& mutex, bool useMutex = true) : + m_pMutex(useMutex ? &mutex : VMA_NULL) + { + if (m_pMutex) { m_pMutex->Lock(); } + } + ~VmaMutexLock() { if (m_pMutex) { m_pMutex->Unlock(); } } + +private: + VMA_MUTEX* m_pMutex; +}; + +// Helper RAII class to lock a RW mutex in constructor and unlock it in destructor (at the end of scope), for reading. +struct VmaMutexLockRead +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaMutexLockRead) +public: + VmaMutexLockRead(VMA_RW_MUTEX& mutex, bool useMutex) : + m_pMutex(useMutex ? &mutex : VMA_NULL) + { + if (m_pMutex) { m_pMutex->LockRead(); } + } + ~VmaMutexLockRead() { if (m_pMutex) { m_pMutex->UnlockRead(); } } + +private: + VMA_RW_MUTEX* m_pMutex; +}; + +// Helper RAII class to lock a RW mutex in constructor and unlock it in destructor (at the end of scope), for writing. +struct VmaMutexLockWrite +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaMutexLockWrite) +public: + VmaMutexLockWrite(VMA_RW_MUTEX& mutex, bool useMutex) + : m_pMutex(useMutex ? &mutex : VMA_NULL) + { + if (m_pMutex) { m_pMutex->LockWrite(); } + } + ~VmaMutexLockWrite() { if (m_pMutex) { m_pMutex->UnlockWrite(); } } + +private: + VMA_RW_MUTEX* m_pMutex; +}; + +#if VMA_DEBUG_GLOBAL_MUTEX + static VMA_MUTEX gDebugGlobalMutex; + #define VMA_DEBUG_GLOBAL_MUTEX_LOCK VmaMutexLock debugGlobalMutexLock(gDebugGlobalMutex, true); +#else + #define VMA_DEBUG_GLOBAL_MUTEX_LOCK +#endif +#endif // _VMA_MUTEX_LOCK + +#ifndef _VMA_ATOMIC_TRANSACTIONAL_INCREMENT +// An object that increments given atomic but decrements it back in the destructor unless Commit() is called. +template +struct AtomicTransactionalIncrement +{ +public: + using T = decltype(AtomicT().load()); + + ~AtomicTransactionalIncrement() + { + if(m_Atomic) + --(*m_Atomic); + } + + void Commit() { m_Atomic = nullptr; } + T Increment(AtomicT* atomic) + { + m_Atomic = atomic; + return m_Atomic->fetch_add(1); + } + +private: + AtomicT* m_Atomic = nullptr; +}; +#endif // _VMA_ATOMIC_TRANSACTIONAL_INCREMENT + +#ifndef _VMA_STL_ALLOCATOR +// STL-compatible allocator. +template +struct VmaStlAllocator +{ + const VkAllocationCallbacks* const m_pCallbacks; + typedef T value_type; + + VmaStlAllocator(const VkAllocationCallbacks* pCallbacks) : m_pCallbacks(pCallbacks) {} + template + VmaStlAllocator(const VmaStlAllocator& src) : m_pCallbacks(src.m_pCallbacks) {} + VmaStlAllocator(const VmaStlAllocator&) = default; + VmaStlAllocator& operator=(const VmaStlAllocator&) = delete; + + T* allocate(size_t n) { return VmaAllocateArray(m_pCallbacks, n); } + void deallocate(T* p, size_t n) { VmaFree(m_pCallbacks, p); } + + template + bool operator==(const VmaStlAllocator& rhs) const + { + return m_pCallbacks == rhs.m_pCallbacks; + } + template + bool operator!=(const VmaStlAllocator& rhs) const + { + return m_pCallbacks != rhs.m_pCallbacks; + } +}; +#endif // _VMA_STL_ALLOCATOR + +#ifndef _VMA_VECTOR +/* Class with interface compatible with subset of std::vector. +T must be POD because constructors and destructors are not called and memcpy is +used for these objects. */ +template +class VmaVector +{ +public: + typedef T value_type; + typedef T* iterator; + typedef const T* const_iterator; + + VmaVector(const AllocatorT& allocator); + VmaVector(size_t count, const AllocatorT& allocator); + // This version of the constructor is here for compatibility with pre-C++14 std::vector. + // value is unused. + VmaVector(size_t count, const T& value, const AllocatorT& allocator) : VmaVector(count, allocator) {} + VmaVector(const VmaVector& src); + VmaVector& operator=(const VmaVector& rhs); + ~VmaVector() { VmaFree(m_Allocator.m_pCallbacks, m_pArray); } + + bool empty() const { return m_Count == 0; } + size_t size() const { return m_Count; } + T* data() { return m_pArray; } + T& front() { VMA_HEAVY_ASSERT(m_Count > 0); return m_pArray[0]; } + T& back() { VMA_HEAVY_ASSERT(m_Count > 0); return m_pArray[m_Count - 1]; } + const T* data() const { return m_pArray; } + const T& front() const { VMA_HEAVY_ASSERT(m_Count > 0); return m_pArray[0]; } + const T& back() const { VMA_HEAVY_ASSERT(m_Count > 0); return m_pArray[m_Count - 1]; } + + iterator begin() { return m_pArray; } + iterator end() { return m_pArray + m_Count; } + const_iterator cbegin() const { return m_pArray; } + const_iterator cend() const { return m_pArray + m_Count; } + const_iterator begin() const { return cbegin(); } + const_iterator end() const { return cend(); } + + void pop_front() { VMA_HEAVY_ASSERT(m_Count > 0); remove(0); } + void pop_back() { VMA_HEAVY_ASSERT(m_Count > 0); resize(size() - 1); } + void push_front(const T& src) { insert(0, src); } + + void push_back(const T& src); + void reserve(size_t newCapacity, bool freeMemory = false); + void resize(size_t newCount); + void clear() { resize(0); } + void shrink_to_fit(); + void insert(size_t index, const T& src); + void remove(size_t index); + + T& operator[](size_t index) { VMA_HEAVY_ASSERT(index < m_Count); return m_pArray[index]; } + const T& operator[](size_t index) const { VMA_HEAVY_ASSERT(index < m_Count); return m_pArray[index]; } + +private: + AllocatorT m_Allocator; + T* m_pArray; + size_t m_Count; + size_t m_Capacity; +}; + +#ifndef _VMA_VECTOR_FUNCTIONS +template +VmaVector::VmaVector(const AllocatorT& allocator) + : m_Allocator(allocator), + m_pArray(VMA_NULL), + m_Count(0), + m_Capacity(0) {} + +template +VmaVector::VmaVector(size_t count, const AllocatorT& allocator) + : m_Allocator(allocator), + m_pArray(count ? (T*)VmaAllocateArray(allocator.m_pCallbacks, count) : VMA_NULL), + m_Count(count), + m_Capacity(count) {} + +template +VmaVector::VmaVector(const VmaVector& src) + : m_Allocator(src.m_Allocator), + m_pArray(src.m_Count ? (T*)VmaAllocateArray(src.m_Allocator.m_pCallbacks, src.m_Count) : VMA_NULL), + m_Count(src.m_Count), + m_Capacity(src.m_Count) +{ + if (m_Count != 0) + { + memcpy(m_pArray, src.m_pArray, m_Count * sizeof(T)); + } +} + +template +VmaVector& VmaVector::operator=(const VmaVector& rhs) +{ + if (&rhs != this) + { + resize(rhs.m_Count); + if (m_Count != 0) + { + memcpy(m_pArray, rhs.m_pArray, m_Count * sizeof(T)); + } + } + return *this; +} + +template +void VmaVector::push_back(const T& src) +{ + const size_t newIndex = size(); + resize(newIndex + 1); + m_pArray[newIndex] = src; +} + +template +void VmaVector::reserve(size_t newCapacity, bool freeMemory) +{ + newCapacity = VMA_MAX(newCapacity, m_Count); + + if ((newCapacity < m_Capacity) && !freeMemory) + { + newCapacity = m_Capacity; + } + + if (newCapacity != m_Capacity) + { + T* const newArray = newCapacity ? VmaAllocateArray(m_Allocator, newCapacity) : VMA_NULL; + if (m_Count != 0) + { + memcpy(newArray, m_pArray, m_Count * sizeof(T)); + } + VmaFree(m_Allocator.m_pCallbacks, m_pArray); + m_Capacity = newCapacity; + m_pArray = newArray; + } +} + +template +void VmaVector::resize(size_t newCount) +{ + size_t newCapacity = m_Capacity; + if (newCount > m_Capacity) + { + newCapacity = VMA_MAX(newCount, VMA_MAX(m_Capacity * 3 / 2, (size_t)8)); + } + + if (newCapacity != m_Capacity) + { + T* const newArray = newCapacity ? VmaAllocateArray(m_Allocator.m_pCallbacks, newCapacity) : VMA_NULL; + const size_t elementsToCopy = VMA_MIN(m_Count, newCount); + if (elementsToCopy != 0) + { + memcpy(newArray, m_pArray, elementsToCopy * sizeof(T)); + } + VmaFree(m_Allocator.m_pCallbacks, m_pArray); + m_Capacity = newCapacity; + m_pArray = newArray; + } + + m_Count = newCount; +} + +template +void VmaVector::shrink_to_fit() +{ + if (m_Capacity > m_Count) + { + T* newArray = VMA_NULL; + if (m_Count > 0) + { + newArray = VmaAllocateArray(m_Allocator.m_pCallbacks, m_Count); + memcpy(newArray, m_pArray, m_Count * sizeof(T)); + } + VmaFree(m_Allocator.m_pCallbacks, m_pArray); + m_Capacity = m_Count; + m_pArray = newArray; + } +} + +template +void VmaVector::insert(size_t index, const T& src) +{ + VMA_HEAVY_ASSERT(index <= m_Count); + const size_t oldCount = size(); + resize(oldCount + 1); + if (index < oldCount) + { + memmove(m_pArray + (index + 1), m_pArray + index, (oldCount - index) * sizeof(T)); + } + m_pArray[index] = src; +} + +template +void VmaVector::remove(size_t index) +{ + VMA_HEAVY_ASSERT(index < m_Count); + const size_t oldCount = size(); + if (index < oldCount - 1) + { + memmove(m_pArray + index, m_pArray + (index + 1), (oldCount - index - 1) * sizeof(T)); + } + resize(oldCount - 1); +} +#endif // _VMA_VECTOR_FUNCTIONS + +template +static void VmaVectorInsert(VmaVector& vec, size_t index, const T& item) +{ + vec.insert(index, item); +} + +template +static void VmaVectorRemove(VmaVector& vec, size_t index) +{ + vec.remove(index); +} +#endif // _VMA_VECTOR + +#ifndef _VMA_SMALL_VECTOR +/* +This is a vector (a variable-sized array), optimized for the case when the array is small. + +It contains some number of elements in-place, which allows it to avoid heap allocation +when the actual number of elements is below that threshold. This allows normal "small" +cases to be fast without losing generality for large inputs. +*/ +template +class VmaSmallVector +{ +public: + typedef T value_type; + typedef T* iterator; + + VmaSmallVector(const AllocatorT& allocator); + VmaSmallVector(size_t count, const AllocatorT& allocator); + template + VmaSmallVector(const VmaSmallVector&) = delete; + template + VmaSmallVector& operator=(const VmaSmallVector&) = delete; + ~VmaSmallVector() = default; + + bool empty() const { return m_Count == 0; } + size_t size() const { return m_Count; } + T* data() { return m_Count > N ? m_DynamicArray.data() : m_StaticArray; } + T& front() { VMA_HEAVY_ASSERT(m_Count > 0); return data()[0]; } + T& back() { VMA_HEAVY_ASSERT(m_Count > 0); return data()[m_Count - 1]; } + const T* data() const { return m_Count > N ? m_DynamicArray.data() : m_StaticArray; } + const T& front() const { VMA_HEAVY_ASSERT(m_Count > 0); return data()[0]; } + const T& back() const { VMA_HEAVY_ASSERT(m_Count > 0); return data()[m_Count - 1]; } + + iterator begin() { return data(); } + iterator end() { return data() + m_Count; } + + void pop_front() { VMA_HEAVY_ASSERT(m_Count > 0); remove(0); } + void pop_back() { VMA_HEAVY_ASSERT(m_Count > 0); resize(size() - 1); } + void push_front(const T& src) { insert(0, src); } + + void push_back(const T& src); + void resize(size_t newCount, bool freeMemory = false); + void clear(bool freeMemory = false); + void insert(size_t index, const T& src); + void remove(size_t index); + + T& operator[](size_t index) { VMA_HEAVY_ASSERT(index < m_Count); return data()[index]; } + const T& operator[](size_t index) const { VMA_HEAVY_ASSERT(index < m_Count); return data()[index]; } + +private: + size_t m_Count; + T m_StaticArray[N]; // Used when m_Size <= N + VmaVector m_DynamicArray; // Used when m_Size > N +}; + +#ifndef _VMA_SMALL_VECTOR_FUNCTIONS +template +VmaSmallVector::VmaSmallVector(const AllocatorT& allocator) + : m_Count(0), + m_DynamicArray(allocator) {} + +template +VmaSmallVector::VmaSmallVector(size_t count, const AllocatorT& allocator) + : m_Count(count), + m_DynamicArray(count > N ? count : 0, allocator) {} + +template +void VmaSmallVector::push_back(const T& src) +{ + const size_t newIndex = size(); + resize(newIndex + 1); + data()[newIndex] = src; +} + +template +void VmaSmallVector::resize(size_t newCount, bool freeMemory) +{ + if (newCount > N && m_Count > N) + { + // Any direction, staying in m_DynamicArray + m_DynamicArray.resize(newCount); + if (freeMemory) + { + m_DynamicArray.shrink_to_fit(); + } + } + else if (newCount > N && m_Count <= N) + { + // Growing, moving from m_StaticArray to m_DynamicArray + m_DynamicArray.resize(newCount); + if (m_Count > 0) + { + memcpy(m_DynamicArray.data(), m_StaticArray, m_Count * sizeof(T)); + } + } + else if (newCount <= N && m_Count > N) + { + // Shrinking, moving from m_DynamicArray to m_StaticArray + if (newCount > 0) + { + memcpy(m_StaticArray, m_DynamicArray.data(), newCount * sizeof(T)); + } + m_DynamicArray.resize(0); + if (freeMemory) + { + m_DynamicArray.shrink_to_fit(); + } + } + else + { + // Any direction, staying in m_StaticArray - nothing to do here + } + m_Count = newCount; +} + +template +void VmaSmallVector::clear(bool freeMemory) +{ + m_DynamicArray.clear(); + if (freeMemory) + { + m_DynamicArray.shrink_to_fit(); + } + m_Count = 0; +} + +template +void VmaSmallVector::insert(size_t index, const T& src) +{ + VMA_HEAVY_ASSERT(index <= m_Count); + const size_t oldCount = size(); + resize(oldCount + 1); + T* const dataPtr = data(); + if (index < oldCount) + { + // I know, this could be more optimal for case where memmove can be memcpy directly from m_StaticArray to m_DynamicArray. + memmove(dataPtr + (index + 1), dataPtr + index, (oldCount - index) * sizeof(T)); + } + dataPtr[index] = src; +} + +template +void VmaSmallVector::remove(size_t index) +{ + VMA_HEAVY_ASSERT(index < m_Count); + const size_t oldCount = size(); + if (index < oldCount - 1) + { + // I know, this could be more optimal for case where memmove can be memcpy directly from m_DynamicArray to m_StaticArray. + T* const dataPtr = data(); + memmove(dataPtr + index, dataPtr + (index + 1), (oldCount - index - 1) * sizeof(T)); + } + resize(oldCount - 1); +} +#endif // _VMA_SMALL_VECTOR_FUNCTIONS +#endif // _VMA_SMALL_VECTOR + +#ifndef _VMA_POOL_ALLOCATOR +/* +Allocator for objects of type T using a list of arrays (pools) to speed up +allocation. Number of elements that can be allocated is not bounded because +allocator can create multiple blocks. +*/ +template +class VmaPoolAllocator +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaPoolAllocator) +public: + VmaPoolAllocator(const VkAllocationCallbacks* pAllocationCallbacks, uint32_t firstBlockCapacity); + ~VmaPoolAllocator(); + template T* Alloc(Types&&... args); + void Free(T* ptr); + +private: + union Item + { + uint32_t NextFreeIndex; + alignas(T) char Value[sizeof(T)]; + }; + struct ItemBlock + { + Item* pItems; + uint32_t Capacity; + uint32_t FirstFreeIndex; + }; + + const VkAllocationCallbacks* m_pAllocationCallbacks; + const uint32_t m_FirstBlockCapacity; + VmaVector> m_ItemBlocks; + + ItemBlock& CreateNewBlock(); +}; + +#ifndef _VMA_POOL_ALLOCATOR_FUNCTIONS +template +VmaPoolAllocator::VmaPoolAllocator(const VkAllocationCallbacks* pAllocationCallbacks, uint32_t firstBlockCapacity) + : m_pAllocationCallbacks(pAllocationCallbacks), + m_FirstBlockCapacity(firstBlockCapacity), + m_ItemBlocks(VmaStlAllocator(pAllocationCallbacks)) +{ + VMA_ASSERT(m_FirstBlockCapacity > 1); +} + +template +VmaPoolAllocator::~VmaPoolAllocator() +{ + for (size_t i = m_ItemBlocks.size(); i--;) + vma_delete_array(m_pAllocationCallbacks, m_ItemBlocks[i].pItems, m_ItemBlocks[i].Capacity); + m_ItemBlocks.clear(); +} + +template +template T* VmaPoolAllocator::Alloc(Types&&... args) +{ + for (size_t i = m_ItemBlocks.size(); i--; ) + { + ItemBlock& block = m_ItemBlocks[i]; + // This block has some free items: Use first one. + if (block.FirstFreeIndex != UINT32_MAX) + { + Item* const pItem = &block.pItems[block.FirstFreeIndex]; + block.FirstFreeIndex = pItem->NextFreeIndex; + T* result = (T*)&pItem->Value; + new(result)T(std::forward(args)...); // Explicit constructor call. + return result; + } + } + + // No block has free item: Create new one and use it. + ItemBlock& newBlock = CreateNewBlock(); + Item* const pItem = &newBlock.pItems[0]; + newBlock.FirstFreeIndex = pItem->NextFreeIndex; + T* result = (T*)&pItem->Value; + new(result) T(std::forward(args)...); // Explicit constructor call. + return result; +} + +template +void VmaPoolAllocator::Free(T* ptr) +{ + // Search all memory blocks to find ptr. + for (size_t i = m_ItemBlocks.size(); i--; ) + { + ItemBlock& block = m_ItemBlocks[i]; + + // Casting to union. + Item* pItemPtr; + memcpy(&pItemPtr, &ptr, sizeof(pItemPtr)); + + // Check if pItemPtr is in address range of this block. + if ((pItemPtr >= block.pItems) && (pItemPtr < block.pItems + block.Capacity)) + { + ptr->~T(); // Explicit destructor call. + const uint32_t index = static_cast(pItemPtr - block.pItems); + pItemPtr->NextFreeIndex = block.FirstFreeIndex; + block.FirstFreeIndex = index; + return; + } + } + VMA_ASSERT(0 && "Pointer doesn't belong to this memory pool."); +} + +template +typename VmaPoolAllocator::ItemBlock& VmaPoolAllocator::CreateNewBlock() +{ + const uint32_t newBlockCapacity = m_ItemBlocks.empty() ? + m_FirstBlockCapacity : m_ItemBlocks.back().Capacity * 3 / 2; + + const ItemBlock newBlock = + { + vma_new_array(m_pAllocationCallbacks, Item, newBlockCapacity), + newBlockCapacity, + 0 + }; + + m_ItemBlocks.push_back(newBlock); + + // Setup singly-linked list of all free items in this block. + for (uint32_t i = 0; i < newBlockCapacity - 1; ++i) + newBlock.pItems[i].NextFreeIndex = i + 1; + newBlock.pItems[newBlockCapacity - 1].NextFreeIndex = UINT32_MAX; + return m_ItemBlocks.back(); +} +#endif // _VMA_POOL_ALLOCATOR_FUNCTIONS +#endif // _VMA_POOL_ALLOCATOR + +#ifndef _VMA_RAW_LIST +template +struct VmaListItem +{ + VmaListItem* pPrev; + VmaListItem* pNext; + T Value; +}; + +// Doubly linked list. +template +class VmaRawList +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaRawList) +public: + typedef VmaListItem ItemType; + + VmaRawList(const VkAllocationCallbacks* pAllocationCallbacks); + // Intentionally not calling Clear, because that would be unnecessary + // computations to return all items to m_ItemAllocator as free. + ~VmaRawList() = default; + + size_t GetCount() const { return m_Count; } + bool IsEmpty() const { return m_Count == 0; } + + ItemType* Front() { return m_pFront; } + ItemType* Back() { return m_pBack; } + const ItemType* Front() const { return m_pFront; } + const ItemType* Back() const { return m_pBack; } + + ItemType* PushFront(); + ItemType* PushBack(); + ItemType* PushFront(const T& value); + ItemType* PushBack(const T& value); + void PopFront(); + void PopBack(); + + // Item can be null - it means PushBack. + ItemType* InsertBefore(ItemType* pItem); + // Item can be null - it means PushFront. + ItemType* InsertAfter(ItemType* pItem); + ItemType* InsertBefore(ItemType* pItem, const T& value); + ItemType* InsertAfter(ItemType* pItem, const T& value); + + void Clear(); + void Remove(ItemType* pItem); + +private: + const VkAllocationCallbacks* const m_pAllocationCallbacks; + VmaPoolAllocator m_ItemAllocator; + ItemType* m_pFront; + ItemType* m_pBack; + size_t m_Count; +}; + +#ifndef _VMA_RAW_LIST_FUNCTIONS +template +VmaRawList::VmaRawList(const VkAllocationCallbacks* pAllocationCallbacks) + : m_pAllocationCallbacks(pAllocationCallbacks), + m_ItemAllocator(pAllocationCallbacks, 128), + m_pFront(VMA_NULL), + m_pBack(VMA_NULL), + m_Count(0) {} + +template +VmaListItem* VmaRawList::PushFront() +{ + ItemType* const pNewItem = m_ItemAllocator.Alloc(); + pNewItem->pPrev = VMA_NULL; + if (IsEmpty()) + { + pNewItem->pNext = VMA_NULL; + m_pFront = pNewItem; + m_pBack = pNewItem; + m_Count = 1; + } + else + { + pNewItem->pNext = m_pFront; + m_pFront->pPrev = pNewItem; + m_pFront = pNewItem; + ++m_Count; + } + return pNewItem; +} + +template +VmaListItem* VmaRawList::PushBack() +{ + ItemType* const pNewItem = m_ItemAllocator.Alloc(); + pNewItem->pNext = VMA_NULL; + if(IsEmpty()) + { + pNewItem->pPrev = VMA_NULL; + m_pFront = pNewItem; + m_pBack = pNewItem; + m_Count = 1; + } + else + { + pNewItem->pPrev = m_pBack; + m_pBack->pNext = pNewItem; + m_pBack = pNewItem; + ++m_Count; + } + return pNewItem; +} + +template +VmaListItem* VmaRawList::PushFront(const T& value) +{ + ItemType* const pNewItem = PushFront(); + pNewItem->Value = value; + return pNewItem; +} + +template +VmaListItem* VmaRawList::PushBack(const T& value) +{ + ItemType* const pNewItem = PushBack(); + pNewItem->Value = value; + return pNewItem; +} + +template +void VmaRawList::PopFront() +{ + VMA_HEAVY_ASSERT(m_Count > 0); + ItemType* const pFrontItem = m_pFront; + ItemType* const pNextItem = pFrontItem->pNext; + if (pNextItem != VMA_NULL) + { + pNextItem->pPrev = VMA_NULL; + } + m_pFront = pNextItem; + m_ItemAllocator.Free(pFrontItem); + --m_Count; +} + +template +void VmaRawList::PopBack() +{ + VMA_HEAVY_ASSERT(m_Count > 0); + ItemType* const pBackItem = m_pBack; + ItemType* const pPrevItem = pBackItem->pPrev; + if(pPrevItem != VMA_NULL) + { + pPrevItem->pNext = VMA_NULL; + } + m_pBack = pPrevItem; + m_ItemAllocator.Free(pBackItem); + --m_Count; +} + +template +void VmaRawList::Clear() +{ + if (IsEmpty() == false) + { + ItemType* pItem = m_pBack; + while (pItem != VMA_NULL) + { + ItemType* const pPrevItem = pItem->pPrev; + m_ItemAllocator.Free(pItem); + pItem = pPrevItem; + } + m_pFront = VMA_NULL; + m_pBack = VMA_NULL; + m_Count = 0; + } +} + +template +void VmaRawList::Remove(ItemType* pItem) +{ + VMA_HEAVY_ASSERT(pItem != VMA_NULL); + VMA_HEAVY_ASSERT(m_Count > 0); + + if(pItem->pPrev != VMA_NULL) + { + pItem->pPrev->pNext = pItem->pNext; + } + else + { + VMA_HEAVY_ASSERT(m_pFront == pItem); + m_pFront = pItem->pNext; + } + + if(pItem->pNext != VMA_NULL) + { + pItem->pNext->pPrev = pItem->pPrev; + } + else + { + VMA_HEAVY_ASSERT(m_pBack == pItem); + m_pBack = pItem->pPrev; + } + + m_ItemAllocator.Free(pItem); + --m_Count; +} + +template +VmaListItem* VmaRawList::InsertBefore(ItemType* pItem) +{ + if(pItem != VMA_NULL) + { + ItemType* const prevItem = pItem->pPrev; + ItemType* const newItem = m_ItemAllocator.Alloc(); + newItem->pPrev = prevItem; + newItem->pNext = pItem; + pItem->pPrev = newItem; + if(prevItem != VMA_NULL) + { + prevItem->pNext = newItem; + } + else + { + VMA_HEAVY_ASSERT(m_pFront == pItem); + m_pFront = newItem; + } + ++m_Count; + return newItem; + } + else + return PushBack(); +} + +template +VmaListItem* VmaRawList::InsertAfter(ItemType* pItem) +{ + if(pItem != VMA_NULL) + { + ItemType* const nextItem = pItem->pNext; + ItemType* const newItem = m_ItemAllocator.Alloc(); + newItem->pNext = nextItem; + newItem->pPrev = pItem; + pItem->pNext = newItem; + if(nextItem != VMA_NULL) + { + nextItem->pPrev = newItem; + } + else + { + VMA_HEAVY_ASSERT(m_pBack == pItem); + m_pBack = newItem; + } + ++m_Count; + return newItem; + } + else + return PushFront(); +} + +template +VmaListItem* VmaRawList::InsertBefore(ItemType* pItem, const T& value) +{ + ItemType* const newItem = InsertBefore(pItem); + newItem->Value = value; + return newItem; +} + +template +VmaListItem* VmaRawList::InsertAfter(ItemType* pItem, const T& value) +{ + ItemType* const newItem = InsertAfter(pItem); + newItem->Value = value; + return newItem; +} +#endif // _VMA_RAW_LIST_FUNCTIONS +#endif // _VMA_RAW_LIST + +#ifndef _VMA_LIST +template +class VmaList +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaList) +public: + class reverse_iterator; + class const_iterator; + class const_reverse_iterator; + + class iterator + { + friend class const_iterator; + friend class VmaList; + public: + iterator() : m_pList(VMA_NULL), m_pItem(VMA_NULL) {} + iterator(const reverse_iterator& src) : m_pList(src.m_pList), m_pItem(src.m_pItem) {} + + T& operator*() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return m_pItem->Value; } + T* operator->() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return &m_pItem->Value; } + + bool operator==(const iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem == rhs.m_pItem; } + bool operator!=(const iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem != rhs.m_pItem; } + + iterator operator++(int) { iterator result = *this; ++*this; return result; } + iterator operator--(int) { iterator result = *this; --*this; return result; } + + iterator& operator++() { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); m_pItem = m_pItem->pNext; return *this; } + iterator& operator--(); + + private: + VmaRawList* m_pList; + VmaListItem* m_pItem; + + iterator(VmaRawList* pList, VmaListItem* pItem) : m_pList(pList), m_pItem(pItem) {} + }; + class reverse_iterator + { + friend class const_reverse_iterator; + friend class VmaList; + public: + reverse_iterator() : m_pList(VMA_NULL), m_pItem(VMA_NULL) {} + reverse_iterator(const iterator& src) : m_pList(src.m_pList), m_pItem(src.m_pItem) {} + + T& operator*() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return m_pItem->Value; } + T* operator->() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return &m_pItem->Value; } + + bool operator==(const reverse_iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem == rhs.m_pItem; } + bool operator!=(const reverse_iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem != rhs.m_pItem; } + + reverse_iterator operator++(int) { reverse_iterator result = *this; ++* this; return result; } + reverse_iterator operator--(int) { reverse_iterator result = *this; --* this; return result; } + + reverse_iterator& operator++() { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); m_pItem = m_pItem->pPrev; return *this; } + reverse_iterator& operator--(); + + private: + VmaRawList* m_pList; + VmaListItem* m_pItem; + + reverse_iterator(VmaRawList* pList, VmaListItem* pItem) : m_pList(pList), m_pItem(pItem) {} + }; + class const_iterator + { + friend class VmaList; + public: + const_iterator() : m_pList(VMA_NULL), m_pItem(VMA_NULL) {} + const_iterator(const iterator& src) : m_pList(src.m_pList), m_pItem(src.m_pItem) {} + const_iterator(const reverse_iterator& src) : m_pList(src.m_pList), m_pItem(src.m_pItem) {} + + iterator drop_const() { return { const_cast*>(m_pList), const_cast*>(m_pItem) }; } + + const T& operator*() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return m_pItem->Value; } + const T* operator->() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return &m_pItem->Value; } + + bool operator==(const const_iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem == rhs.m_pItem; } + bool operator!=(const const_iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem != rhs.m_pItem; } + + const_iterator operator++(int) { const_iterator result = *this; ++* this; return result; } + const_iterator operator--(int) { const_iterator result = *this; --* this; return result; } + + const_iterator& operator++() { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); m_pItem = m_pItem->pNext; return *this; } + const_iterator& operator--(); + + private: + const VmaRawList* m_pList; + const VmaListItem* m_pItem; + + const_iterator(const VmaRawList* pList, const VmaListItem* pItem) : m_pList(pList), m_pItem(pItem) {} + }; + class const_reverse_iterator + { + friend class VmaList; + public: + const_reverse_iterator() : m_pList(VMA_NULL), m_pItem(VMA_NULL) {} + const_reverse_iterator(const reverse_iterator& src) : m_pList(src.m_pList), m_pItem(src.m_pItem) {} + const_reverse_iterator(const iterator& src) : m_pList(src.m_pList), m_pItem(src.m_pItem) {} + + reverse_iterator drop_const() { return { const_cast*>(m_pList), const_cast*>(m_pItem) }; } + + const T& operator*() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return m_pItem->Value; } + const T* operator->() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return &m_pItem->Value; } + + bool operator==(const const_reverse_iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem == rhs.m_pItem; } + bool operator!=(const const_reverse_iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem != rhs.m_pItem; } + + const_reverse_iterator operator++(int) { const_reverse_iterator result = *this; ++* this; return result; } + const_reverse_iterator operator--(int) { const_reverse_iterator result = *this; --* this; return result; } + + const_reverse_iterator& operator++() { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); m_pItem = m_pItem->pPrev; return *this; } + const_reverse_iterator& operator--(); + + private: + const VmaRawList* m_pList; + const VmaListItem* m_pItem; + + const_reverse_iterator(const VmaRawList* pList, const VmaListItem* pItem) : m_pList(pList), m_pItem(pItem) {} + }; + + VmaList(const AllocatorT& allocator) : m_RawList(allocator.m_pCallbacks) {} + + bool empty() const { return m_RawList.IsEmpty(); } + size_t size() const { return m_RawList.GetCount(); } + + iterator begin() { return iterator(&m_RawList, m_RawList.Front()); } + iterator end() { return iterator(&m_RawList, VMA_NULL); } + + const_iterator cbegin() const { return const_iterator(&m_RawList, m_RawList.Front()); } + const_iterator cend() const { return const_iterator(&m_RawList, VMA_NULL); } + + const_iterator begin() const { return cbegin(); } + const_iterator end() const { return cend(); } + + reverse_iterator rbegin() { return reverse_iterator(&m_RawList, m_RawList.Back()); } + reverse_iterator rend() { return reverse_iterator(&m_RawList, VMA_NULL); } + + const_reverse_iterator crbegin() const { return const_reverse_iterator(&m_RawList, m_RawList.Back()); } + const_reverse_iterator crend() const { return const_reverse_iterator(&m_RawList, VMA_NULL); } + + const_reverse_iterator rbegin() const { return crbegin(); } + const_reverse_iterator rend() const { return crend(); } + + void push_back(const T& value) { m_RawList.PushBack(value); } + iterator insert(iterator it, const T& value) { return iterator(&m_RawList, m_RawList.InsertBefore(it.m_pItem, value)); } + + void clear() { m_RawList.Clear(); } + void erase(iterator it) { m_RawList.Remove(it.m_pItem); } + +private: + VmaRawList m_RawList; +}; + +#ifndef _VMA_LIST_FUNCTIONS +template +typename VmaList::iterator& VmaList::iterator::operator--() +{ + if (m_pItem != VMA_NULL) + { + m_pItem = m_pItem->pPrev; + } + else + { + VMA_HEAVY_ASSERT(!m_pList->IsEmpty()); + m_pItem = m_pList->Back(); + } + return *this; +} + +template +typename VmaList::reverse_iterator& VmaList::reverse_iterator::operator--() +{ + if (m_pItem != VMA_NULL) + { + m_pItem = m_pItem->pNext; + } + else + { + VMA_HEAVY_ASSERT(!m_pList->IsEmpty()); + m_pItem = m_pList->Front(); + } + return *this; +} + +template +typename VmaList::const_iterator& VmaList::const_iterator::operator--() +{ + if (m_pItem != VMA_NULL) + { + m_pItem = m_pItem->pPrev; + } + else + { + VMA_HEAVY_ASSERT(!m_pList->IsEmpty()); + m_pItem = m_pList->Back(); + } + return *this; +} + +template +typename VmaList::const_reverse_iterator& VmaList::const_reverse_iterator::operator--() +{ + if (m_pItem != VMA_NULL) + { + m_pItem = m_pItem->pNext; + } + else + { + VMA_HEAVY_ASSERT(!m_pList->IsEmpty()); + m_pItem = m_pList->Back(); + } + return *this; +} +#endif // _VMA_LIST_FUNCTIONS +#endif // _VMA_LIST + +#ifndef _VMA_INTRUSIVE_LINKED_LIST +/* +Expected interface of ItemTypeTraits: +struct MyItemTypeTraits +{ + typedef MyItem ItemType; + static ItemType* GetPrev(const ItemType* item) { return item->myPrevPtr; } + static ItemType* GetNext(const ItemType* item) { return item->myNextPtr; } + static ItemType*& AccessPrev(ItemType* item) { return item->myPrevPtr; } + static ItemType*& AccessNext(ItemType* item) { return item->myNextPtr; } +}; +*/ +template +class VmaIntrusiveLinkedList +{ +public: + typedef typename ItemTypeTraits::ItemType ItemType; + static ItemType* GetPrev(const ItemType* item) { return ItemTypeTraits::GetPrev(item); } + static ItemType* GetNext(const ItemType* item) { return ItemTypeTraits::GetNext(item); } + + // Movable, not copyable. + VmaIntrusiveLinkedList() = default; + VmaIntrusiveLinkedList(VmaIntrusiveLinkedList && src); + VmaIntrusiveLinkedList(const VmaIntrusiveLinkedList&) = delete; + VmaIntrusiveLinkedList& operator=(VmaIntrusiveLinkedList&& src); + VmaIntrusiveLinkedList& operator=(const VmaIntrusiveLinkedList&) = delete; + ~VmaIntrusiveLinkedList() { VMA_HEAVY_ASSERT(IsEmpty()); } + + size_t GetCount() const { return m_Count; } + bool IsEmpty() const { return m_Count == 0; } + ItemType* Front() { return m_Front; } + ItemType* Back() { return m_Back; } + const ItemType* Front() const { return m_Front; } + const ItemType* Back() const { return m_Back; } + + void PushBack(ItemType* item); + void PushFront(ItemType* item); + ItemType* PopBack(); + ItemType* PopFront(); + + // MyItem can be null - it means PushBack. + void InsertBefore(ItemType* existingItem, ItemType* newItem); + // MyItem can be null - it means PushFront. + void InsertAfter(ItemType* existingItem, ItemType* newItem); + void Remove(ItemType* item); + void RemoveAll(); + +private: + ItemType* m_Front = VMA_NULL; + ItemType* m_Back = VMA_NULL; + size_t m_Count = 0; +}; + +#ifndef _VMA_INTRUSIVE_LINKED_LIST_FUNCTIONS +template +VmaIntrusiveLinkedList::VmaIntrusiveLinkedList(VmaIntrusiveLinkedList&& src) + : m_Front(src.m_Front), m_Back(src.m_Back), m_Count(src.m_Count) +{ + src.m_Front = src.m_Back = VMA_NULL; + src.m_Count = 0; +} + +template +VmaIntrusiveLinkedList& VmaIntrusiveLinkedList::operator=(VmaIntrusiveLinkedList&& src) +{ + if (&src != this) + { + VMA_HEAVY_ASSERT(IsEmpty()); + m_Front = src.m_Front; + m_Back = src.m_Back; + m_Count = src.m_Count; + src.m_Front = src.m_Back = VMA_NULL; + src.m_Count = 0; + } + return *this; +} + +template +void VmaIntrusiveLinkedList::PushBack(ItemType* item) +{ + VMA_HEAVY_ASSERT(ItemTypeTraits::GetPrev(item) == VMA_NULL && ItemTypeTraits::GetNext(item) == VMA_NULL); + if (IsEmpty()) + { + m_Front = item; + m_Back = item; + m_Count = 1; + } + else + { + ItemTypeTraits::AccessPrev(item) = m_Back; + ItemTypeTraits::AccessNext(m_Back) = item; + m_Back = item; + ++m_Count; + } +} + +template +void VmaIntrusiveLinkedList::PushFront(ItemType* item) +{ + VMA_HEAVY_ASSERT(ItemTypeTraits::GetPrev(item) == VMA_NULL && ItemTypeTraits::GetNext(item) == VMA_NULL); + if (IsEmpty()) + { + m_Front = item; + m_Back = item; + m_Count = 1; + } + else + { + ItemTypeTraits::AccessNext(item) = m_Front; + ItemTypeTraits::AccessPrev(m_Front) = item; + m_Front = item; + ++m_Count; + } +} + +template +typename VmaIntrusiveLinkedList::ItemType* VmaIntrusiveLinkedList::PopBack() +{ + VMA_HEAVY_ASSERT(m_Count > 0); + ItemType* const backItem = m_Back; + ItemType* const prevItem = ItemTypeTraits::GetPrev(backItem); + if (prevItem != VMA_NULL) + { + ItemTypeTraits::AccessNext(prevItem) = VMA_NULL; + } + m_Back = prevItem; + --m_Count; + ItemTypeTraits::AccessPrev(backItem) = VMA_NULL; + ItemTypeTraits::AccessNext(backItem) = VMA_NULL; + return backItem; +} + +template +typename VmaIntrusiveLinkedList::ItemType* VmaIntrusiveLinkedList::PopFront() +{ + VMA_HEAVY_ASSERT(m_Count > 0); + ItemType* const frontItem = m_Front; + ItemType* const nextItem = ItemTypeTraits::GetNext(frontItem); + if (nextItem != VMA_NULL) + { + ItemTypeTraits::AccessPrev(nextItem) = VMA_NULL; + } + m_Front = nextItem; + --m_Count; + ItemTypeTraits::AccessPrev(frontItem) = VMA_NULL; + ItemTypeTraits::AccessNext(frontItem) = VMA_NULL; + return frontItem; +} + +template +void VmaIntrusiveLinkedList::InsertBefore(ItemType* existingItem, ItemType* newItem) +{ + VMA_HEAVY_ASSERT(newItem != VMA_NULL && ItemTypeTraits::GetPrev(newItem) == VMA_NULL && ItemTypeTraits::GetNext(newItem) == VMA_NULL); + if (existingItem != VMA_NULL) + { + ItemType* const prevItem = ItemTypeTraits::GetPrev(existingItem); + ItemTypeTraits::AccessPrev(newItem) = prevItem; + ItemTypeTraits::AccessNext(newItem) = existingItem; + ItemTypeTraits::AccessPrev(existingItem) = newItem; + if (prevItem != VMA_NULL) + { + ItemTypeTraits::AccessNext(prevItem) = newItem; + } + else + { + VMA_HEAVY_ASSERT(m_Front == existingItem); + m_Front = newItem; + } + ++m_Count; + } + else + PushBack(newItem); +} + +template +void VmaIntrusiveLinkedList::InsertAfter(ItemType* existingItem, ItemType* newItem) +{ + VMA_HEAVY_ASSERT(newItem != VMA_NULL && ItemTypeTraits::GetPrev(newItem) == VMA_NULL && ItemTypeTraits::GetNext(newItem) == VMA_NULL); + if (existingItem != VMA_NULL) + { + ItemType* const nextItem = ItemTypeTraits::GetNext(existingItem); + ItemTypeTraits::AccessNext(newItem) = nextItem; + ItemTypeTraits::AccessPrev(newItem) = existingItem; + ItemTypeTraits::AccessNext(existingItem) = newItem; + if (nextItem != VMA_NULL) + { + ItemTypeTraits::AccessPrev(nextItem) = newItem; + } + else + { + VMA_HEAVY_ASSERT(m_Back == existingItem); + m_Back = newItem; + } + ++m_Count; + } + else + return PushFront(newItem); +} + +template +void VmaIntrusiveLinkedList::Remove(ItemType* item) +{ + VMA_HEAVY_ASSERT(item != VMA_NULL && m_Count > 0); + if (ItemTypeTraits::GetPrev(item) != VMA_NULL) + { + ItemTypeTraits::AccessNext(ItemTypeTraits::AccessPrev(item)) = ItemTypeTraits::GetNext(item); + } + else + { + VMA_HEAVY_ASSERT(m_Front == item); + m_Front = ItemTypeTraits::GetNext(item); + } + + if (ItemTypeTraits::GetNext(item) != VMA_NULL) + { + ItemTypeTraits::AccessPrev(ItemTypeTraits::AccessNext(item)) = ItemTypeTraits::GetPrev(item); + } + else + { + VMA_HEAVY_ASSERT(m_Back == item); + m_Back = ItemTypeTraits::GetPrev(item); + } + ItemTypeTraits::AccessPrev(item) = VMA_NULL; + ItemTypeTraits::AccessNext(item) = VMA_NULL; + --m_Count; +} + +template +void VmaIntrusiveLinkedList::RemoveAll() +{ + if (!IsEmpty()) + { + ItemType* item = m_Back; + while (item != VMA_NULL) + { + ItemType* const prevItem = ItemTypeTraits::AccessPrev(item); + ItemTypeTraits::AccessPrev(item) = VMA_NULL; + ItemTypeTraits::AccessNext(item) = VMA_NULL; + item = prevItem; + } + m_Front = VMA_NULL; + m_Back = VMA_NULL; + m_Count = 0; + } +} +#endif // _VMA_INTRUSIVE_LINKED_LIST_FUNCTIONS +#endif // _VMA_INTRUSIVE_LINKED_LIST + +// Unused in this version. +#if 0 + +#ifndef _VMA_PAIR +template +struct VmaPair +{ + T1 first; + T2 second; + + VmaPair() : first(), second() {} + VmaPair(const T1& firstSrc, const T2& secondSrc) : first(firstSrc), second(secondSrc) {} +}; + +template +struct VmaPairFirstLess +{ + bool operator()(const VmaPair& lhs, const VmaPair& rhs) const + { + return lhs.first < rhs.first; + } + bool operator()(const VmaPair& lhs, const FirstT& rhsFirst) const + { + return lhs.first < rhsFirst; + } +}; +#endif // _VMA_PAIR + +#ifndef _VMA_MAP +/* Class compatible with subset of interface of std::unordered_map. +KeyT, ValueT must be POD because they will be stored in VmaVector. +*/ +template +class VmaMap +{ +public: + typedef VmaPair PairType; + typedef PairType* iterator; + + VmaMap(const VmaStlAllocator& allocator) : m_Vector(allocator) {} + + iterator begin() { return m_Vector.begin(); } + iterator end() { return m_Vector.end(); } + size_t size() { return m_Vector.size(); } + + void insert(const PairType& pair); + iterator find(const KeyT& key); + void erase(iterator it); + +private: + VmaVector< PairType, VmaStlAllocator> m_Vector; +}; + +#ifndef _VMA_MAP_FUNCTIONS +template +void VmaMap::insert(const PairType& pair) +{ + const size_t indexToInsert = VmaBinaryFindFirstNotLess( + m_Vector.data(), + m_Vector.data() + m_Vector.size(), + pair, + VmaPairFirstLess()) - m_Vector.data(); + VmaVectorInsert(m_Vector, indexToInsert, pair); +} + +template +VmaPair* VmaMap::find(const KeyT& key) +{ + PairType* it = VmaBinaryFindFirstNotLess( + m_Vector.data(), + m_Vector.data() + m_Vector.size(), + key, + VmaPairFirstLess()); + if ((it != m_Vector.end()) && (it->first == key)) + { + return it; + } + else + { + return m_Vector.end(); + } +} + +template +void VmaMap::erase(iterator it) +{ + VmaVectorRemove(m_Vector, it - m_Vector.begin()); +} +#endif // _VMA_MAP_FUNCTIONS +#endif // _VMA_MAP + +#endif // #if 0 + +#if !defined(_VMA_STRING_BUILDER) && VMA_STATS_STRING_ENABLED +class VmaStringBuilder +{ +public: + VmaStringBuilder(const VkAllocationCallbacks* allocationCallbacks) : m_Data(VmaStlAllocator(allocationCallbacks)) {} + ~VmaStringBuilder() = default; + + size_t GetLength() const { return m_Data.size(); } + const char* GetData() const { return m_Data.data(); } + void AddNewLine() { Add('\n'); } + void Add(char ch) { m_Data.push_back(ch); } + + void Add(const char* pStr); + void AddNumber(uint32_t num); + void AddNumber(uint64_t num); + void AddPointer(const void* ptr); + +private: + VmaVector> m_Data; +}; + +#ifndef _VMA_STRING_BUILDER_FUNCTIONS +void VmaStringBuilder::Add(const char* pStr) +{ + const size_t strLen = strlen(pStr); + if (strLen > 0) + { + const size_t oldCount = m_Data.size(); + m_Data.resize(oldCount + strLen); + memcpy(m_Data.data() + oldCount, pStr, strLen); + } +} + +void VmaStringBuilder::AddNumber(uint32_t num) +{ + char buf[11]; + buf[10] = '\0'; + char* p = &buf[10]; + do + { + *--p = '0' + (char)(num % 10); + num /= 10; + } while (num); + Add(p); +} + +void VmaStringBuilder::AddNumber(uint64_t num) +{ + char buf[21]; + buf[20] = '\0'; + char* p = &buf[20]; + do + { + *--p = '0' + (char)(num % 10); + num /= 10; + } while (num); + Add(p); +} + +void VmaStringBuilder::AddPointer(const void* ptr) +{ + char buf[21]; + VmaPtrToStr(buf, sizeof(buf), ptr); + Add(buf); +} +#endif //_VMA_STRING_BUILDER_FUNCTIONS +#endif // _VMA_STRING_BUILDER + +#if !defined(_VMA_JSON_WRITER) && VMA_STATS_STRING_ENABLED +/* +Allows to conveniently build a correct JSON document to be written to the +VmaStringBuilder passed to the constructor. +*/ +class VmaJsonWriter +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaJsonWriter) +public: + // sb - string builder to write the document to. Must remain alive for the whole lifetime of this object. + VmaJsonWriter(const VkAllocationCallbacks* pAllocationCallbacks, VmaStringBuilder& sb); + ~VmaJsonWriter(); + + // Begins object by writing "{". + // Inside an object, you must call pairs of WriteString and a value, e.g.: + // j.BeginObject(true); j.WriteString("A"); j.WriteNumber(1); j.WriteString("B"); j.WriteNumber(2); j.EndObject(); + // Will write: { "A": 1, "B": 2 } + void BeginObject(bool singleLine = false); + // Ends object by writing "}". + void EndObject(); + + // Begins array by writing "[". + // Inside an array, you can write a sequence of any values. + void BeginArray(bool singleLine = false); + // Ends array by writing "[". + void EndArray(); + + // Writes a string value inside "". + // pStr can contain any ANSI characters, including '"', new line etc. - they will be properly escaped. + void WriteString(const char* pStr); + + // Begins writing a string value. + // Call BeginString, ContinueString, ContinueString, ..., EndString instead of + // WriteString to conveniently build the string content incrementally, made of + // parts including numbers. + void BeginString(const char* pStr = VMA_NULL); + // Posts next part of an open string. + void ContinueString(const char* pStr); + // Posts next part of an open string. The number is converted to decimal characters. + void ContinueString(uint32_t n); + void ContinueString(uint64_t n); + // Posts next part of an open string. Pointer value is converted to characters + // using "%p" formatting - shown as hexadecimal number, e.g.: 000000081276Ad00 + void ContinueString_Pointer(const void* ptr); + // Ends writing a string value by writing '"'. + void EndString(const char* pStr = VMA_NULL); + + // Writes a number value. + void WriteNumber(uint32_t n); + void WriteNumber(uint64_t n); + // Writes a boolean value - false or true. + void WriteBool(bool b); + // Writes a null value. + void WriteNull(); + +private: + enum COLLECTION_TYPE + { + COLLECTION_TYPE_OBJECT, + COLLECTION_TYPE_ARRAY, + }; + struct StackItem + { + COLLECTION_TYPE type; + uint32_t valueCount; + bool singleLineMode; + }; + + static const char* const INDENT; + + VmaStringBuilder& m_SB; + VmaVector< StackItem, VmaStlAllocator > m_Stack; + bool m_InsideString; + + void BeginValue(bool isString); + void WriteIndent(bool oneLess = false); +}; +const char* const VmaJsonWriter::INDENT = " "; + +#ifndef _VMA_JSON_WRITER_FUNCTIONS +VmaJsonWriter::VmaJsonWriter(const VkAllocationCallbacks* pAllocationCallbacks, VmaStringBuilder& sb) + : m_SB(sb), + m_Stack(VmaStlAllocator(pAllocationCallbacks)), + m_InsideString(false) {} + +VmaJsonWriter::~VmaJsonWriter() +{ + VMA_ASSERT(!m_InsideString); + VMA_ASSERT(m_Stack.empty()); +} + +void VmaJsonWriter::BeginObject(bool singleLine) +{ + VMA_ASSERT(!m_InsideString); + + BeginValue(false); + m_SB.Add('{'); + + StackItem item; + item.type = COLLECTION_TYPE_OBJECT; + item.valueCount = 0; + item.singleLineMode = singleLine; + m_Stack.push_back(item); +} + +void VmaJsonWriter::EndObject() +{ + VMA_ASSERT(!m_InsideString); + + WriteIndent(true); + m_SB.Add('}'); + + VMA_ASSERT(!m_Stack.empty() && m_Stack.back().type == COLLECTION_TYPE_OBJECT); + m_Stack.pop_back(); +} + +void VmaJsonWriter::BeginArray(bool singleLine) +{ + VMA_ASSERT(!m_InsideString); + + BeginValue(false); + m_SB.Add('['); + + StackItem item; + item.type = COLLECTION_TYPE_ARRAY; + item.valueCount = 0; + item.singleLineMode = singleLine; + m_Stack.push_back(item); +} + +void VmaJsonWriter::EndArray() +{ + VMA_ASSERT(!m_InsideString); + + WriteIndent(true); + m_SB.Add(']'); + + VMA_ASSERT(!m_Stack.empty() && m_Stack.back().type == COLLECTION_TYPE_ARRAY); + m_Stack.pop_back(); +} + +void VmaJsonWriter::WriteString(const char* pStr) +{ + BeginString(pStr); + EndString(); +} + +void VmaJsonWriter::BeginString(const char* pStr) +{ + VMA_ASSERT(!m_InsideString); + + BeginValue(true); + m_SB.Add('"'); + m_InsideString = true; + if (pStr != VMA_NULL && pStr[0] != '\0') + { + ContinueString(pStr); + } +} + +void VmaJsonWriter::ContinueString(const char* pStr) +{ + VMA_ASSERT(m_InsideString); + + const size_t strLen = strlen(pStr); + for (size_t i = 0; i < strLen; ++i) + { + char ch = pStr[i]; + if (ch == '\\') + { + m_SB.Add("\\\\"); + } + else if (ch == '"') + { + m_SB.Add("\\\""); + } + else if (ch >= 32) + { + m_SB.Add(ch); + } + else switch (ch) + { + case '\b': + m_SB.Add("\\b"); + break; + case '\f': + m_SB.Add("\\f"); + break; + case '\n': + m_SB.Add("\\n"); + break; + case '\r': + m_SB.Add("\\r"); + break; + case '\t': + m_SB.Add("\\t"); + break; + default: + VMA_ASSERT(0 && "Character not currently supported."); + } + } +} + +void VmaJsonWriter::ContinueString(uint32_t n) +{ + VMA_ASSERT(m_InsideString); + m_SB.AddNumber(n); +} + +void VmaJsonWriter::ContinueString(uint64_t n) +{ + VMA_ASSERT(m_InsideString); + m_SB.AddNumber(n); +} + +void VmaJsonWriter::ContinueString_Pointer(const void* ptr) +{ + VMA_ASSERT(m_InsideString); + m_SB.AddPointer(ptr); +} + +void VmaJsonWriter::EndString(const char* pStr) +{ + VMA_ASSERT(m_InsideString); + if (pStr != VMA_NULL && pStr[0] != '\0') + { + ContinueString(pStr); + } + m_SB.Add('"'); + m_InsideString = false; +} + +void VmaJsonWriter::WriteNumber(uint32_t n) +{ + VMA_ASSERT(!m_InsideString); + BeginValue(false); + m_SB.AddNumber(n); +} + +void VmaJsonWriter::WriteNumber(uint64_t n) +{ + VMA_ASSERT(!m_InsideString); + BeginValue(false); + m_SB.AddNumber(n); +} + +void VmaJsonWriter::WriteBool(bool b) +{ + VMA_ASSERT(!m_InsideString); + BeginValue(false); + m_SB.Add(b ? "true" : "false"); +} + +void VmaJsonWriter::WriteNull() +{ + VMA_ASSERT(!m_InsideString); + BeginValue(false); + m_SB.Add("null"); +} + +void VmaJsonWriter::BeginValue(bool isString) +{ + if (!m_Stack.empty()) + { + StackItem& currItem = m_Stack.back(); + if (currItem.type == COLLECTION_TYPE_OBJECT && + currItem.valueCount % 2 == 0) + { + VMA_ASSERT(isString); + } + + if (currItem.type == COLLECTION_TYPE_OBJECT && + currItem.valueCount % 2 != 0) + { + m_SB.Add(": "); + } + else if (currItem.valueCount > 0) + { + m_SB.Add(", "); + WriteIndent(); + } + else + { + WriteIndent(); + } + ++currItem.valueCount; + } +} + +void VmaJsonWriter::WriteIndent(bool oneLess) +{ + if (!m_Stack.empty() && !m_Stack.back().singleLineMode) + { + m_SB.AddNewLine(); + + size_t count = m_Stack.size(); + if (count > 0 && oneLess) + { + --count; + } + for (size_t i = 0; i < count; ++i) + { + m_SB.Add(INDENT); + } + } +} +#endif // _VMA_JSON_WRITER_FUNCTIONS + +static void VmaPrintDetailedStatistics(VmaJsonWriter& json, const VmaDetailedStatistics& stat) +{ + json.BeginObject(); + + json.WriteString("BlockCount"); + json.WriteNumber(stat.statistics.blockCount); + json.WriteString("BlockBytes"); + json.WriteNumber(stat.statistics.blockBytes); + json.WriteString("AllocationCount"); + json.WriteNumber(stat.statistics.allocationCount); + json.WriteString("AllocationBytes"); + json.WriteNumber(stat.statistics.allocationBytes); + json.WriteString("UnusedRangeCount"); + json.WriteNumber(stat.unusedRangeCount); + + if (stat.statistics.allocationCount > 1) + { + json.WriteString("AllocationSizeMin"); + json.WriteNumber(stat.allocationSizeMin); + json.WriteString("AllocationSizeMax"); + json.WriteNumber(stat.allocationSizeMax); + } + if (stat.unusedRangeCount > 1) + { + json.WriteString("UnusedRangeSizeMin"); + json.WriteNumber(stat.unusedRangeSizeMin); + json.WriteString("UnusedRangeSizeMax"); + json.WriteNumber(stat.unusedRangeSizeMax); + } + json.EndObject(); +} +#endif // _VMA_JSON_WRITER + +#ifndef _VMA_MAPPING_HYSTERESIS + +class VmaMappingHysteresis +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaMappingHysteresis) +public: + VmaMappingHysteresis() = default; + + uint32_t GetExtraMapping() const { return m_ExtraMapping; } + + // Call when Map was called. + // Returns true if switched to extra +1 mapping reference count. + bool PostMap() + { +#if VMA_MAPPING_HYSTERESIS_ENABLED + if(m_ExtraMapping == 0) + { + ++m_MajorCounter; + if(m_MajorCounter >= COUNTER_MIN_EXTRA_MAPPING) + { + m_ExtraMapping = 1; + m_MajorCounter = 0; + m_MinorCounter = 0; + return true; + } + } + else // m_ExtraMapping == 1 + PostMinorCounter(); +#endif // #if VMA_MAPPING_HYSTERESIS_ENABLED + return false; + } + + // Call when Unmap was called. + void PostUnmap() + { +#if VMA_MAPPING_HYSTERESIS_ENABLED + if(m_ExtraMapping == 0) + ++m_MajorCounter; + else // m_ExtraMapping == 1 + PostMinorCounter(); +#endif // #if VMA_MAPPING_HYSTERESIS_ENABLED + } + + // Call when allocation was made from the memory block. + void PostAlloc() + { +#if VMA_MAPPING_HYSTERESIS_ENABLED + if(m_ExtraMapping == 1) + ++m_MajorCounter; + else // m_ExtraMapping == 0 + PostMinorCounter(); +#endif // #if VMA_MAPPING_HYSTERESIS_ENABLED + } + + // Call when allocation was freed from the memory block. + // Returns true if switched to extra -1 mapping reference count. + bool PostFree() + { +#if VMA_MAPPING_HYSTERESIS_ENABLED + if(m_ExtraMapping == 1) + { + ++m_MajorCounter; + if(m_MajorCounter >= COUNTER_MIN_EXTRA_MAPPING && + m_MajorCounter > m_MinorCounter + 1) + { + m_ExtraMapping = 0; + m_MajorCounter = 0; + m_MinorCounter = 0; + return true; + } + } + else // m_ExtraMapping == 0 + PostMinorCounter(); +#endif // #if VMA_MAPPING_HYSTERESIS_ENABLED + return false; + } + +private: + static const int32_t COUNTER_MIN_EXTRA_MAPPING = 7; + + uint32_t m_MinorCounter = 0; + uint32_t m_MajorCounter = 0; + uint32_t m_ExtraMapping = 0; // 0 or 1. + + void PostMinorCounter() + { + if(m_MinorCounter < m_MajorCounter) + { + ++m_MinorCounter; + } + else if(m_MajorCounter > 0) + { + --m_MajorCounter; + --m_MinorCounter; + } + } +}; + +#endif // _VMA_MAPPING_HYSTERESIS + +#ifndef _VMA_DEVICE_MEMORY_BLOCK +/* +Represents a single block of device memory (`VkDeviceMemory`) with all the +data about its regions (aka suballocations, #VmaAllocation), assigned and free. + +Thread-safety: +- Access to m_pMetadata must be externally synchronized. +- Map, Unmap, Bind* are synchronized internally. +*/ +class VmaDeviceMemoryBlock +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaDeviceMemoryBlock) +public: + VmaBlockMetadata* m_pMetadata; + + VmaDeviceMemoryBlock(VmaAllocator hAllocator); + ~VmaDeviceMemoryBlock(); + + // Always call after construction. + void Init( + VmaAllocator hAllocator, + VmaPool hParentPool, + uint32_t newMemoryTypeIndex, + VkDeviceMemory newMemory, + VkDeviceSize newSize, + uint32_t id, + uint32_t algorithm, + VkDeviceSize bufferImageGranularity); + // Always call before destruction. + void Destroy(VmaAllocator allocator); + + VmaPool GetParentPool() const { return m_hParentPool; } + VkDeviceMemory GetDeviceMemory() const { return m_hMemory; } + uint32_t GetMemoryTypeIndex() const { return m_MemoryTypeIndex; } + uint32_t GetId() const { return m_Id; } + void* GetMappedData() const { return m_pMappedData; } + uint32_t GetMapRefCount() const { return m_MapCount; } + + // Call when allocation/free was made from m_pMetadata. + // Used for m_MappingHysteresis. + void PostAlloc(VmaAllocator hAllocator); + void PostFree(VmaAllocator hAllocator); + + // Validates all data structures inside this object. If not valid, returns false. + bool Validate() const; + VkResult CheckCorruption(VmaAllocator hAllocator); + + // ppData can be null. + VkResult Map(VmaAllocator hAllocator, uint32_t count, void** ppData); + void Unmap(VmaAllocator hAllocator, uint32_t count); + + VkResult WriteMagicValueAfterAllocation(VmaAllocator hAllocator, VkDeviceSize allocOffset, VkDeviceSize allocSize); + VkResult ValidateMagicValueAfterAllocation(VmaAllocator hAllocator, VkDeviceSize allocOffset, VkDeviceSize allocSize); + + VkResult BindBufferMemory( + const VmaAllocator hAllocator, + const VmaAllocation hAllocation, + VkDeviceSize allocationLocalOffset, + VkBuffer hBuffer, + const void* pNext); + VkResult BindImageMemory( + const VmaAllocator hAllocator, + const VmaAllocation hAllocation, + VkDeviceSize allocationLocalOffset, + VkImage hImage, + const void* pNext); + +private: + VmaPool m_hParentPool; // VK_NULL_HANDLE if not belongs to custom pool. + uint32_t m_MemoryTypeIndex; + uint32_t m_Id; + VkDeviceMemory m_hMemory; + + /* + Protects access to m_hMemory so it is not used by multiple threads simultaneously, e.g. vkMapMemory, vkBindBufferMemory. + Also protects m_MapCount, m_pMappedData. + Allocations, deallocations, any change in m_pMetadata is protected by parent's VmaBlockVector::m_Mutex. + */ + VMA_MUTEX m_MapAndBindMutex; + VmaMappingHysteresis m_MappingHysteresis; + uint32_t m_MapCount; + void* m_pMappedData; +}; +#endif // _VMA_DEVICE_MEMORY_BLOCK + +#ifndef _VMA_ALLOCATION_T +struct VmaAllocation_T +{ + friend struct VmaDedicatedAllocationListItemTraits; + + enum FLAGS + { + FLAG_PERSISTENT_MAP = 0x01, + FLAG_MAPPING_ALLOWED = 0x02, + }; + +public: + enum ALLOCATION_TYPE + { + ALLOCATION_TYPE_NONE, + ALLOCATION_TYPE_BLOCK, + ALLOCATION_TYPE_DEDICATED, + }; + + // This struct is allocated using VmaPoolAllocator. + VmaAllocation_T(bool mappingAllowed); + ~VmaAllocation_T(); + + void InitBlockAllocation( + VmaDeviceMemoryBlock* block, + VmaAllocHandle allocHandle, + VkDeviceSize alignment, + VkDeviceSize size, + uint32_t memoryTypeIndex, + VmaSuballocationType suballocationType, + bool mapped); + // pMappedData not null means allocation is created with MAPPED flag. + void InitDedicatedAllocation( + VmaPool hParentPool, + uint32_t memoryTypeIndex, + VkDeviceMemory hMemory, + VmaSuballocationType suballocationType, + void* pMappedData, + VkDeviceSize size); + + ALLOCATION_TYPE GetType() const { return (ALLOCATION_TYPE)m_Type; } + VkDeviceSize GetAlignment() const { return m_Alignment; } + VkDeviceSize GetSize() const { return m_Size; } + void* GetUserData() const { return m_pUserData; } + const char* GetName() const { return m_pName; } + VmaSuballocationType GetSuballocationType() const { return (VmaSuballocationType)m_SuballocationType; } + + VmaDeviceMemoryBlock* GetBlock() const { VMA_ASSERT(m_Type == ALLOCATION_TYPE_BLOCK); return m_BlockAllocation.m_Block; } + uint32_t GetMemoryTypeIndex() const { return m_MemoryTypeIndex; } + bool IsPersistentMap() const { return (m_Flags & FLAG_PERSISTENT_MAP) != 0; } + bool IsMappingAllowed() const { return (m_Flags & FLAG_MAPPING_ALLOWED) != 0; } + + void SetUserData(VmaAllocator hAllocator, void* pUserData) { m_pUserData = pUserData; } + void SetName(VmaAllocator hAllocator, const char* pName); + void FreeName(VmaAllocator hAllocator); + uint8_t SwapBlockAllocation(VmaAllocator hAllocator, VmaAllocation allocation); + VmaAllocHandle GetAllocHandle() const; + VkDeviceSize GetOffset() const; + VmaPool GetParentPool() const; + VkDeviceMemory GetMemory() const; + void* GetMappedData() const; + + void BlockAllocMap(); + void BlockAllocUnmap(); + VkResult DedicatedAllocMap(VmaAllocator hAllocator, void** ppData); + void DedicatedAllocUnmap(VmaAllocator hAllocator); + +#if VMA_STATS_STRING_ENABLED + uint32_t GetBufferImageUsage() const { return m_BufferImageUsage; } + + void InitBufferImageUsage(uint32_t bufferImageUsage); + void PrintParameters(class VmaJsonWriter& json) const; +#endif + +private: + // Allocation out of VmaDeviceMemoryBlock. + struct BlockAllocation + { + VmaDeviceMemoryBlock* m_Block; + VmaAllocHandle m_AllocHandle; + }; + // Allocation for an object that has its own private VkDeviceMemory. + struct DedicatedAllocation + { + VmaPool m_hParentPool; // VK_NULL_HANDLE if not belongs to custom pool. + VkDeviceMemory m_hMemory; + void* m_pMappedData; // Not null means memory is mapped. + VmaAllocation_T* m_Prev; + VmaAllocation_T* m_Next; + }; + union + { + // Allocation out of VmaDeviceMemoryBlock. + BlockAllocation m_BlockAllocation; + // Allocation for an object that has its own private VkDeviceMemory. + DedicatedAllocation m_DedicatedAllocation; + }; + + VkDeviceSize m_Alignment; + VkDeviceSize m_Size; + void* m_pUserData; + char* m_pName; + uint32_t m_MemoryTypeIndex; + uint8_t m_Type; // ALLOCATION_TYPE + uint8_t m_SuballocationType; // VmaSuballocationType + // Reference counter for vmaMapMemory()/vmaUnmapMemory(). + uint8_t m_MapCount; + uint8_t m_Flags; // enum FLAGS +#if VMA_STATS_STRING_ENABLED + uint32_t m_BufferImageUsage; // 0 if unknown. +#endif +}; +#endif // _VMA_ALLOCATION_T + +#ifndef _VMA_DEDICATED_ALLOCATION_LIST_ITEM_TRAITS +struct VmaDedicatedAllocationListItemTraits +{ + typedef VmaAllocation_T ItemType; + + static ItemType* GetPrev(const ItemType* item) + { + VMA_HEAVY_ASSERT(item->GetType() == VmaAllocation_T::ALLOCATION_TYPE_DEDICATED); + return item->m_DedicatedAllocation.m_Prev; + } + static ItemType* GetNext(const ItemType* item) + { + VMA_HEAVY_ASSERT(item->GetType() == VmaAllocation_T::ALLOCATION_TYPE_DEDICATED); + return item->m_DedicatedAllocation.m_Next; + } + static ItemType*& AccessPrev(ItemType* item) + { + VMA_HEAVY_ASSERT(item->GetType() == VmaAllocation_T::ALLOCATION_TYPE_DEDICATED); + return item->m_DedicatedAllocation.m_Prev; + } + static ItemType*& AccessNext(ItemType* item) + { + VMA_HEAVY_ASSERT(item->GetType() == VmaAllocation_T::ALLOCATION_TYPE_DEDICATED); + return item->m_DedicatedAllocation.m_Next; + } +}; +#endif // _VMA_DEDICATED_ALLOCATION_LIST_ITEM_TRAITS + +#ifndef _VMA_DEDICATED_ALLOCATION_LIST +/* +Stores linked list of VmaAllocation_T objects. +Thread-safe, synchronized internally. +*/ +class VmaDedicatedAllocationList +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaDedicatedAllocationList) +public: + VmaDedicatedAllocationList() {} + ~VmaDedicatedAllocationList(); + + void Init(bool useMutex) { m_UseMutex = useMutex; } + bool Validate(); + + void AddDetailedStatistics(VmaDetailedStatistics& inoutStats); + void AddStatistics(VmaStatistics& inoutStats); +#if VMA_STATS_STRING_ENABLED + // Writes JSON array with the list of allocations. + void BuildStatsString(VmaJsonWriter& json); +#endif + + bool IsEmpty(); + void Register(VmaAllocation alloc); + void Unregister(VmaAllocation alloc); + +private: + typedef VmaIntrusiveLinkedList DedicatedAllocationLinkedList; + + bool m_UseMutex = true; + VMA_RW_MUTEX m_Mutex; + DedicatedAllocationLinkedList m_AllocationList; +}; + +#ifndef _VMA_DEDICATED_ALLOCATION_LIST_FUNCTIONS + +VmaDedicatedAllocationList::~VmaDedicatedAllocationList() +{ + VMA_HEAVY_ASSERT(Validate()); + + if (!m_AllocationList.IsEmpty()) + { + VMA_ASSERT(false && "Unfreed dedicated allocations found!"); + } +} + +bool VmaDedicatedAllocationList::Validate() +{ + const size_t declaredCount = m_AllocationList.GetCount(); + size_t actualCount = 0; + VmaMutexLockRead lock(m_Mutex, m_UseMutex); + for (VmaAllocation alloc = m_AllocationList.Front(); + alloc != VMA_NULL; alloc = m_AllocationList.GetNext(alloc)) + { + ++actualCount; + } + VMA_VALIDATE(actualCount == declaredCount); + + return true; +} + +void VmaDedicatedAllocationList::AddDetailedStatistics(VmaDetailedStatistics& inoutStats) +{ + for(auto* item = m_AllocationList.Front(); item != nullptr; item = DedicatedAllocationLinkedList::GetNext(item)) + { + const VkDeviceSize size = item->GetSize(); + inoutStats.statistics.blockCount++; + inoutStats.statistics.blockBytes += size; + VmaAddDetailedStatisticsAllocation(inoutStats, item->GetSize()); + } +} + +void VmaDedicatedAllocationList::AddStatistics(VmaStatistics& inoutStats) +{ + VmaMutexLockRead lock(m_Mutex, m_UseMutex); + + const uint32_t allocCount = (uint32_t)m_AllocationList.GetCount(); + inoutStats.blockCount += allocCount; + inoutStats.allocationCount += allocCount; + + for(auto* item = m_AllocationList.Front(); item != nullptr; item = DedicatedAllocationLinkedList::GetNext(item)) + { + const VkDeviceSize size = item->GetSize(); + inoutStats.blockBytes += size; + inoutStats.allocationBytes += size; + } +} + +#if VMA_STATS_STRING_ENABLED +void VmaDedicatedAllocationList::BuildStatsString(VmaJsonWriter& json) +{ + VmaMutexLockRead lock(m_Mutex, m_UseMutex); + json.BeginArray(); + for (VmaAllocation alloc = m_AllocationList.Front(); + alloc != VMA_NULL; alloc = m_AllocationList.GetNext(alloc)) + { + json.BeginObject(true); + alloc->PrintParameters(json); + json.EndObject(); + } + json.EndArray(); +} +#endif // VMA_STATS_STRING_ENABLED + +bool VmaDedicatedAllocationList::IsEmpty() +{ + VmaMutexLockRead lock(m_Mutex, m_UseMutex); + return m_AllocationList.IsEmpty(); +} + +void VmaDedicatedAllocationList::Register(VmaAllocation alloc) +{ + VmaMutexLockWrite lock(m_Mutex, m_UseMutex); + m_AllocationList.PushBack(alloc); +} + +void VmaDedicatedAllocationList::Unregister(VmaAllocation alloc) +{ + VmaMutexLockWrite lock(m_Mutex, m_UseMutex); + m_AllocationList.Remove(alloc); +} +#endif // _VMA_DEDICATED_ALLOCATION_LIST_FUNCTIONS +#endif // _VMA_DEDICATED_ALLOCATION_LIST + +#ifndef _VMA_SUBALLOCATION +/* +Represents a region of VmaDeviceMemoryBlock that is either assigned and returned as +allocated memory block or free. +*/ +struct VmaSuballocation +{ + VkDeviceSize offset; + VkDeviceSize size; + void* userData; + VmaSuballocationType type; +}; + +// Comparator for offsets. +struct VmaSuballocationOffsetLess +{ + bool operator()(const VmaSuballocation& lhs, const VmaSuballocation& rhs) const + { + return lhs.offset < rhs.offset; + } +}; + +struct VmaSuballocationOffsetGreater +{ + bool operator()(const VmaSuballocation& lhs, const VmaSuballocation& rhs) const + { + return lhs.offset > rhs.offset; + } +}; + +struct VmaSuballocationItemSizeLess +{ + bool operator()(const VmaSuballocationList::iterator lhs, + const VmaSuballocationList::iterator rhs) const + { + return lhs->size < rhs->size; + } + + bool operator()(const VmaSuballocationList::iterator lhs, + VkDeviceSize rhsSize) const + { + return lhs->size < rhsSize; + } +}; +#endif // _VMA_SUBALLOCATION + +#ifndef _VMA_ALLOCATION_REQUEST +/* +Parameters of planned allocation inside a VmaDeviceMemoryBlock. +item points to a FREE suballocation. +*/ +struct VmaAllocationRequest +{ + VmaAllocHandle allocHandle; + VkDeviceSize size; + VmaSuballocationList::iterator item; + void* customData; + uint64_t algorithmData; + VmaAllocationRequestType type; +}; +#endif // _VMA_ALLOCATION_REQUEST + +#ifndef _VMA_BLOCK_METADATA +/* +Data structure used for bookkeeping of allocations and unused ranges of memory +in a single VkDeviceMemory block. +*/ +class VmaBlockMetadata +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaBlockMetadata) +public: + // pAllocationCallbacks, if not null, must be owned externally - alive and unchanged for the whole lifetime of this object. + VmaBlockMetadata(const VkAllocationCallbacks* pAllocationCallbacks, + VkDeviceSize bufferImageGranularity, bool isVirtual); + virtual ~VmaBlockMetadata() = default; + + virtual void Init(VkDeviceSize size) { m_Size = size; } + bool IsVirtual() const { return m_IsVirtual; } + VkDeviceSize GetSize() const { return m_Size; } + + // Validates all data structures inside this object. If not valid, returns false. + virtual bool Validate() const = 0; + virtual size_t GetAllocationCount() const = 0; + virtual size_t GetFreeRegionsCount() const = 0; + virtual VkDeviceSize GetSumFreeSize() const = 0; + // Returns true if this block is empty - contains only single free suballocation. + virtual bool IsEmpty() const = 0; + virtual void GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) = 0; + virtual VkDeviceSize GetAllocationOffset(VmaAllocHandle allocHandle) const = 0; + virtual void* GetAllocationUserData(VmaAllocHandle allocHandle) const = 0; + + virtual VmaAllocHandle GetAllocationListBegin() const = 0; + virtual VmaAllocHandle GetNextAllocation(VmaAllocHandle prevAlloc) const = 0; + virtual VkDeviceSize GetNextFreeRegionSize(VmaAllocHandle alloc) const = 0; + + // Shouldn't modify blockCount. + virtual void AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const = 0; + virtual void AddStatistics(VmaStatistics& inoutStats) const = 0; + +#if VMA_STATS_STRING_ENABLED + virtual void PrintDetailedMap(class VmaJsonWriter& json) const = 0; +#endif + + // Tries to find a place for suballocation with given parameters inside this block. + // If succeeded, fills pAllocationRequest and returns true. + // If failed, returns false. + virtual bool CreateAllocationRequest( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + bool upperAddress, + VmaSuballocationType allocType, + // Always one of VMA_ALLOCATION_CREATE_STRATEGY_* or VMA_ALLOCATION_INTERNAL_STRATEGY_* flags. + uint32_t strategy, + VmaAllocationRequest* pAllocationRequest) = 0; + + virtual VkResult CheckCorruption(const void* pBlockData) = 0; + + // Makes actual allocation based on request. Request must already be checked and valid. + virtual void Alloc( + const VmaAllocationRequest& request, + VmaSuballocationType type, + void* userData) = 0; + + // Frees suballocation assigned to given memory region. + virtual void Free(VmaAllocHandle allocHandle) = 0; + + // Frees all allocations. + // Careful! Don't call it if there are VmaAllocation objects owned by userData of cleared allocations! + virtual void Clear() = 0; + + virtual void SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) = 0; + virtual void DebugLogAllAllocations() const = 0; + +protected: + const VkAllocationCallbacks* GetAllocationCallbacks() const { return m_pAllocationCallbacks; } + VkDeviceSize GetBufferImageGranularity() const { return m_BufferImageGranularity; } + VkDeviceSize GetDebugMargin() const { return VkDeviceSize(IsVirtual() ? 0 : VMA_DEBUG_MARGIN); } + + void DebugLogAllocation(VkDeviceSize offset, VkDeviceSize size, void* userData) const; +#if VMA_STATS_STRING_ENABLED + // mapRefCount == UINT32_MAX means unspecified. + void PrintDetailedMap_Begin(class VmaJsonWriter& json, + VkDeviceSize unusedBytes, + size_t allocationCount, + size_t unusedRangeCount) const; + void PrintDetailedMap_Allocation(class VmaJsonWriter& json, + VkDeviceSize offset, VkDeviceSize size, void* userData) const; + void PrintDetailedMap_UnusedRange(class VmaJsonWriter& json, + VkDeviceSize offset, + VkDeviceSize size) const; + void PrintDetailedMap_End(class VmaJsonWriter& json) const; +#endif + +private: + VkDeviceSize m_Size; + const VkAllocationCallbacks* m_pAllocationCallbacks; + const VkDeviceSize m_BufferImageGranularity; + const bool m_IsVirtual; +}; + +#ifndef _VMA_BLOCK_METADATA_FUNCTIONS +VmaBlockMetadata::VmaBlockMetadata(const VkAllocationCallbacks* pAllocationCallbacks, + VkDeviceSize bufferImageGranularity, bool isVirtual) + : m_Size(0), + m_pAllocationCallbacks(pAllocationCallbacks), + m_BufferImageGranularity(bufferImageGranularity), + m_IsVirtual(isVirtual) {} + +void VmaBlockMetadata::DebugLogAllocation(VkDeviceSize offset, VkDeviceSize size, void* userData) const +{ + if (IsVirtual()) + { + VMA_DEBUG_LOG_FORMAT("UNFREED VIRTUAL ALLOCATION; Offset: %llu; Size: %llu; UserData: %p", offset, size, userData); + } + else + { + VMA_ASSERT(userData != VMA_NULL); + VmaAllocation allocation = reinterpret_cast(userData); + + userData = allocation->GetUserData(); + const char* name = allocation->GetName(); + +#if VMA_STATS_STRING_ENABLED + VMA_DEBUG_LOG_FORMAT("UNFREED ALLOCATION; Offset: %llu; Size: %llu; UserData: %p; Name: %s; Type: %s; Usage: %u", + offset, size, userData, name ? name : "vma_empty", + VMA_SUBALLOCATION_TYPE_NAMES[allocation->GetSuballocationType()], + allocation->GetBufferImageUsage()); +#else + VMA_DEBUG_LOG_FORMAT("UNFREED ALLOCATION; Offset: %llu; Size: %llu; UserData: %p; Name: %s; Type: %u", + offset, size, userData, name ? name : "vma_empty", + (uint32_t)allocation->GetSuballocationType()); +#endif // VMA_STATS_STRING_ENABLED + } + +} + +#if VMA_STATS_STRING_ENABLED +void VmaBlockMetadata::PrintDetailedMap_Begin(class VmaJsonWriter& json, + VkDeviceSize unusedBytes, size_t allocationCount, size_t unusedRangeCount) const +{ + json.WriteString("TotalBytes"); + json.WriteNumber(GetSize()); + + json.WriteString("UnusedBytes"); + json.WriteNumber(unusedBytes); + + json.WriteString("Allocations"); + json.WriteNumber((uint64_t)allocationCount); + + json.WriteString("UnusedRanges"); + json.WriteNumber((uint64_t)unusedRangeCount); + + json.WriteString("Suballocations"); + json.BeginArray(); +} + +void VmaBlockMetadata::PrintDetailedMap_Allocation(class VmaJsonWriter& json, + VkDeviceSize offset, VkDeviceSize size, void* userData) const +{ + json.BeginObject(true); + + json.WriteString("Offset"); + json.WriteNumber(offset); + + if (IsVirtual()) + { + json.WriteString("Size"); + json.WriteNumber(size); + if (userData) + { + json.WriteString("CustomData"); + json.BeginString(); + json.ContinueString_Pointer(userData); + json.EndString(); + } + } + else + { + ((VmaAllocation)userData)->PrintParameters(json); + } + + json.EndObject(); +} + +void VmaBlockMetadata::PrintDetailedMap_UnusedRange(class VmaJsonWriter& json, + VkDeviceSize offset, VkDeviceSize size) const +{ + json.BeginObject(true); + + json.WriteString("Offset"); + json.WriteNumber(offset); + + json.WriteString("Type"); + json.WriteString(VMA_SUBALLOCATION_TYPE_NAMES[VMA_SUBALLOCATION_TYPE_FREE]); + + json.WriteString("Size"); + json.WriteNumber(size); + + json.EndObject(); +} + +void VmaBlockMetadata::PrintDetailedMap_End(class VmaJsonWriter& json) const +{ + json.EndArray(); +} +#endif // VMA_STATS_STRING_ENABLED +#endif // _VMA_BLOCK_METADATA_FUNCTIONS +#endif // _VMA_BLOCK_METADATA + +#ifndef _VMA_BLOCK_BUFFER_IMAGE_GRANULARITY +// Before deleting object of this class remember to call 'Destroy()' +class VmaBlockBufferImageGranularity final +{ +public: + struct ValidationContext + { + const VkAllocationCallbacks* allocCallbacks; + uint16_t* pageAllocs; + }; + + VmaBlockBufferImageGranularity(VkDeviceSize bufferImageGranularity); + ~VmaBlockBufferImageGranularity(); + + bool IsEnabled() const { return m_BufferImageGranularity > MAX_LOW_BUFFER_IMAGE_GRANULARITY; } + + void Init(const VkAllocationCallbacks* pAllocationCallbacks, VkDeviceSize size); + // Before destroying object you must call free it's memory + void Destroy(const VkAllocationCallbacks* pAllocationCallbacks); + + void RoundupAllocRequest(VmaSuballocationType allocType, + VkDeviceSize& inOutAllocSize, + VkDeviceSize& inOutAllocAlignment) const; + + bool CheckConflictAndAlignUp(VkDeviceSize& inOutAllocOffset, + VkDeviceSize allocSize, + VkDeviceSize blockOffset, + VkDeviceSize blockSize, + VmaSuballocationType allocType) const; + + void AllocPages(uint8_t allocType, VkDeviceSize offset, VkDeviceSize size); + void FreePages(VkDeviceSize offset, VkDeviceSize size); + void Clear(); + + ValidationContext StartValidation(const VkAllocationCallbacks* pAllocationCallbacks, + bool isVirutal) const; + bool Validate(ValidationContext& ctx, VkDeviceSize offset, VkDeviceSize size) const; + bool FinishValidation(ValidationContext& ctx) const; + +private: + static const uint16_t MAX_LOW_BUFFER_IMAGE_GRANULARITY = 256; + + struct RegionInfo + { + uint8_t allocType; + uint16_t allocCount; + }; + + VkDeviceSize m_BufferImageGranularity; + uint32_t m_RegionCount; + RegionInfo* m_RegionInfo; + + uint32_t GetStartPage(VkDeviceSize offset) const { return OffsetToPageIndex(offset & ~(m_BufferImageGranularity - 1)); } + uint32_t GetEndPage(VkDeviceSize offset, VkDeviceSize size) const { return OffsetToPageIndex((offset + size - 1) & ~(m_BufferImageGranularity - 1)); } + + uint32_t OffsetToPageIndex(VkDeviceSize offset) const; + void AllocPage(RegionInfo& page, uint8_t allocType); +}; + +#ifndef _VMA_BLOCK_BUFFER_IMAGE_GRANULARITY_FUNCTIONS +VmaBlockBufferImageGranularity::VmaBlockBufferImageGranularity(VkDeviceSize bufferImageGranularity) + : m_BufferImageGranularity(bufferImageGranularity), + m_RegionCount(0), + m_RegionInfo(VMA_NULL) {} + +VmaBlockBufferImageGranularity::~VmaBlockBufferImageGranularity() +{ + VMA_ASSERT(m_RegionInfo == VMA_NULL && "Free not called before destroying object!"); +} + +void VmaBlockBufferImageGranularity::Init(const VkAllocationCallbacks* pAllocationCallbacks, VkDeviceSize size) +{ + if (IsEnabled()) + { + m_RegionCount = static_cast(VmaDivideRoundingUp(size, m_BufferImageGranularity)); + m_RegionInfo = vma_new_array(pAllocationCallbacks, RegionInfo, m_RegionCount); + memset(m_RegionInfo, 0, m_RegionCount * sizeof(RegionInfo)); + } +} + +void VmaBlockBufferImageGranularity::Destroy(const VkAllocationCallbacks* pAllocationCallbacks) +{ + if (m_RegionInfo) + { + vma_delete_array(pAllocationCallbacks, m_RegionInfo, m_RegionCount); + m_RegionInfo = VMA_NULL; + } +} + +void VmaBlockBufferImageGranularity::RoundupAllocRequest(VmaSuballocationType allocType, + VkDeviceSize& inOutAllocSize, + VkDeviceSize& inOutAllocAlignment) const +{ + if (m_BufferImageGranularity > 1 && + m_BufferImageGranularity <= MAX_LOW_BUFFER_IMAGE_GRANULARITY) + { + if (allocType == VMA_SUBALLOCATION_TYPE_UNKNOWN || + allocType == VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN || + allocType == VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL) + { + inOutAllocAlignment = VMA_MAX(inOutAllocAlignment, m_BufferImageGranularity); + inOutAllocSize = VmaAlignUp(inOutAllocSize, m_BufferImageGranularity); + } + } +} + +bool VmaBlockBufferImageGranularity::CheckConflictAndAlignUp(VkDeviceSize& inOutAllocOffset, + VkDeviceSize allocSize, + VkDeviceSize blockOffset, + VkDeviceSize blockSize, + VmaSuballocationType allocType) const +{ + if (IsEnabled()) + { + uint32_t startPage = GetStartPage(inOutAllocOffset); + if (m_RegionInfo[startPage].allocCount > 0 && + VmaIsBufferImageGranularityConflict(static_cast(m_RegionInfo[startPage].allocType), allocType)) + { + inOutAllocOffset = VmaAlignUp(inOutAllocOffset, m_BufferImageGranularity); + if (blockSize < allocSize + inOutAllocOffset - blockOffset) + return true; + ++startPage; + } + uint32_t endPage = GetEndPage(inOutAllocOffset, allocSize); + if (endPage != startPage && + m_RegionInfo[endPage].allocCount > 0 && + VmaIsBufferImageGranularityConflict(static_cast(m_RegionInfo[endPage].allocType), allocType)) + { + return true; + } + } + return false; +} + +void VmaBlockBufferImageGranularity::AllocPages(uint8_t allocType, VkDeviceSize offset, VkDeviceSize size) +{ + if (IsEnabled()) + { + uint32_t startPage = GetStartPage(offset); + AllocPage(m_RegionInfo[startPage], allocType); + + uint32_t endPage = GetEndPage(offset, size); + if (startPage != endPage) + AllocPage(m_RegionInfo[endPage], allocType); + } +} + +void VmaBlockBufferImageGranularity::FreePages(VkDeviceSize offset, VkDeviceSize size) +{ + if (IsEnabled()) + { + uint32_t startPage = GetStartPage(offset); + --m_RegionInfo[startPage].allocCount; + if (m_RegionInfo[startPage].allocCount == 0) + m_RegionInfo[startPage].allocType = VMA_SUBALLOCATION_TYPE_FREE; + uint32_t endPage = GetEndPage(offset, size); + if (startPage != endPage) + { + --m_RegionInfo[endPage].allocCount; + if (m_RegionInfo[endPage].allocCount == 0) + m_RegionInfo[endPage].allocType = VMA_SUBALLOCATION_TYPE_FREE; + } + } +} + +void VmaBlockBufferImageGranularity::Clear() +{ + if (m_RegionInfo) + memset(m_RegionInfo, 0, m_RegionCount * sizeof(RegionInfo)); +} + +VmaBlockBufferImageGranularity::ValidationContext VmaBlockBufferImageGranularity::StartValidation( + const VkAllocationCallbacks* pAllocationCallbacks, bool isVirutal) const +{ + ValidationContext ctx{ pAllocationCallbacks, VMA_NULL }; + if (!isVirutal && IsEnabled()) + { + ctx.pageAllocs = vma_new_array(pAllocationCallbacks, uint16_t, m_RegionCount); + memset(ctx.pageAllocs, 0, m_RegionCount * sizeof(uint16_t)); + } + return ctx; +} + +bool VmaBlockBufferImageGranularity::Validate(ValidationContext& ctx, + VkDeviceSize offset, VkDeviceSize size) const +{ + if (IsEnabled()) + { + uint32_t start = GetStartPage(offset); + ++ctx.pageAllocs[start]; + VMA_VALIDATE(m_RegionInfo[start].allocCount > 0); + + uint32_t end = GetEndPage(offset, size); + if (start != end) + { + ++ctx.pageAllocs[end]; + VMA_VALIDATE(m_RegionInfo[end].allocCount > 0); + } + } + return true; +} + +bool VmaBlockBufferImageGranularity::FinishValidation(ValidationContext& ctx) const +{ + // Check proper page structure + if (IsEnabled()) + { + VMA_ASSERT(ctx.pageAllocs != VMA_NULL && "Validation context not initialized!"); + + for (uint32_t page = 0; page < m_RegionCount; ++page) + { + VMA_VALIDATE(ctx.pageAllocs[page] == m_RegionInfo[page].allocCount); + } + vma_delete_array(ctx.allocCallbacks, ctx.pageAllocs, m_RegionCount); + ctx.pageAllocs = VMA_NULL; + } + return true; +} + +uint32_t VmaBlockBufferImageGranularity::OffsetToPageIndex(VkDeviceSize offset) const +{ + return static_cast(offset >> VMA_BITSCAN_MSB(m_BufferImageGranularity)); +} + +void VmaBlockBufferImageGranularity::AllocPage(RegionInfo& page, uint8_t allocType) +{ + // When current alloc type is free then it can be overridden by new type + if (page.allocCount == 0 || (page.allocCount > 0 && page.allocType == VMA_SUBALLOCATION_TYPE_FREE)) + page.allocType = allocType; + + ++page.allocCount; +} +#endif // _VMA_BLOCK_BUFFER_IMAGE_GRANULARITY_FUNCTIONS +#endif // _VMA_BLOCK_BUFFER_IMAGE_GRANULARITY + +#if 0 +#ifndef _VMA_BLOCK_METADATA_GENERIC +class VmaBlockMetadata_Generic : public VmaBlockMetadata +{ + friend class VmaDefragmentationAlgorithm_Generic; + friend class VmaDefragmentationAlgorithm_Fast; + VMA_CLASS_NO_COPY_NO_MOVE(VmaBlockMetadata_Generic) +public: + VmaBlockMetadata_Generic(const VkAllocationCallbacks* pAllocationCallbacks, + VkDeviceSize bufferImageGranularity, bool isVirtual); + virtual ~VmaBlockMetadata_Generic() = default; + + size_t GetAllocationCount() const override { return m_Suballocations.size() - m_FreeCount; } + VkDeviceSize GetSumFreeSize() const override { return m_SumFreeSize; } + bool IsEmpty() const override { return (m_Suballocations.size() == 1) && (m_FreeCount == 1); } + void Free(VmaAllocHandle allocHandle) override { FreeSuballocation(FindAtOffset((VkDeviceSize)allocHandle - 1)); } + VkDeviceSize GetAllocationOffset(VmaAllocHandle allocHandle) const override { return (VkDeviceSize)allocHandle - 1; } + + void Init(VkDeviceSize size) override; + bool Validate() const override; + + void AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const override; + void AddStatistics(VmaStatistics& inoutStats) const override; + +#if VMA_STATS_STRING_ENABLED + void PrintDetailedMap(class VmaJsonWriter& json, uint32_t mapRefCount) const override; +#endif + + bool CreateAllocationRequest( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + bool upperAddress, + VmaSuballocationType allocType, + uint32_t strategy, + VmaAllocationRequest* pAllocationRequest) override; + + VkResult CheckCorruption(const void* pBlockData) override; + + void Alloc( + const VmaAllocationRequest& request, + VmaSuballocationType type, + void* userData) override; + + void GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) override; + void* GetAllocationUserData(VmaAllocHandle allocHandle) const override; + VmaAllocHandle GetAllocationListBegin() const override; + VmaAllocHandle GetNextAllocation(VmaAllocHandle prevAlloc) const override; + void Clear() override; + void SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) override; + void DebugLogAllAllocations() const override; + +private: + uint32_t m_FreeCount; + VkDeviceSize m_SumFreeSize; + VmaSuballocationList m_Suballocations; + // Suballocations that are free. Sorted by size, ascending. + VmaVector> m_FreeSuballocationsBySize; + + VkDeviceSize AlignAllocationSize(VkDeviceSize size) const { return IsVirtual() ? size : VmaAlignUp(size, (VkDeviceSize)16); } + + VmaSuballocationList::iterator FindAtOffset(VkDeviceSize offset) const; + bool ValidateFreeSuballocationList() const; + + // Checks if requested suballocation with given parameters can be placed in given pFreeSuballocItem. + // If yes, fills pOffset and returns true. If no, returns false. + bool CheckAllocation( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + VmaSuballocationType allocType, + VmaSuballocationList::const_iterator suballocItem, + VmaAllocHandle* pAllocHandle) const; + + // Given free suballocation, it merges it with following one, which must also be free. + void MergeFreeWithNext(VmaSuballocationList::iterator item); + // Releases given suballocation, making it free. + // Merges it with adjacent free suballocations if applicable. + // Returns iterator to new free suballocation at this place. + VmaSuballocationList::iterator FreeSuballocation(VmaSuballocationList::iterator suballocItem); + // Given free suballocation, it inserts it into sorted list of + // m_FreeSuballocationsBySize if it is suitable. + void RegisterFreeSuballocation(VmaSuballocationList::iterator item); + // Given free suballocation, it removes it from sorted list of + // m_FreeSuballocationsBySize if it is suitable. + void UnregisterFreeSuballocation(VmaSuballocationList::iterator item); +}; + +#ifndef _VMA_BLOCK_METADATA_GENERIC_FUNCTIONS +VmaBlockMetadata_Generic::VmaBlockMetadata_Generic(const VkAllocationCallbacks* pAllocationCallbacks, + VkDeviceSize bufferImageGranularity, bool isVirtual) + : VmaBlockMetadata(pAllocationCallbacks, bufferImageGranularity, isVirtual), + m_FreeCount(0), + m_SumFreeSize(0), + m_Suballocations(VmaStlAllocator(pAllocationCallbacks)), + m_FreeSuballocationsBySize(VmaStlAllocator(pAllocationCallbacks)) {} + +void VmaBlockMetadata_Generic::Init(VkDeviceSize size) +{ + VmaBlockMetadata::Init(size); + + m_FreeCount = 1; + m_SumFreeSize = size; + + VmaSuballocation suballoc = {}; + suballoc.offset = 0; + suballoc.size = size; + suballoc.type = VMA_SUBALLOCATION_TYPE_FREE; + + m_Suballocations.push_back(suballoc); + m_FreeSuballocationsBySize.push_back(m_Suballocations.begin()); +} + +bool VmaBlockMetadata_Generic::Validate() const +{ + VMA_VALIDATE(!m_Suballocations.empty()); + + // Expected offset of new suballocation as calculated from previous ones. + VkDeviceSize calculatedOffset = 0; + // Expected number of free suballocations as calculated from traversing their list. + uint32_t calculatedFreeCount = 0; + // Expected sum size of free suballocations as calculated from traversing their list. + VkDeviceSize calculatedSumFreeSize = 0; + // Expected number of free suballocations that should be registered in + // m_FreeSuballocationsBySize calculated from traversing their list. + size_t freeSuballocationsToRegister = 0; + // True if previous visited suballocation was free. + bool prevFree = false; + + const VkDeviceSize debugMargin = GetDebugMargin(); + + for (const auto& subAlloc : m_Suballocations) + { + // Actual offset of this suballocation doesn't match expected one. + VMA_VALIDATE(subAlloc.offset == calculatedOffset); + + const bool currFree = (subAlloc.type == VMA_SUBALLOCATION_TYPE_FREE); + // Two adjacent free suballocations are invalid. They should be merged. + VMA_VALIDATE(!prevFree || !currFree); + + VmaAllocation alloc = (VmaAllocation)subAlloc.userData; + if (!IsVirtual()) + { + VMA_VALIDATE(currFree == (alloc == VK_NULL_HANDLE)); + } + + if (currFree) + { + calculatedSumFreeSize += subAlloc.size; + ++calculatedFreeCount; + ++freeSuballocationsToRegister; + + // Margin required between allocations - every free space must be at least that large. + VMA_VALIDATE(subAlloc.size >= debugMargin); + } + else + { + if (!IsVirtual()) + { + VMA_VALIDATE((VkDeviceSize)alloc->GetAllocHandle() == subAlloc.offset + 1); + VMA_VALIDATE(alloc->GetSize() == subAlloc.size); + } + + // Margin required between allocations - previous allocation must be free. + VMA_VALIDATE(debugMargin == 0 || prevFree); + } + + calculatedOffset += subAlloc.size; + prevFree = currFree; + } + + // Number of free suballocations registered in m_FreeSuballocationsBySize doesn't + // match expected one. + VMA_VALIDATE(m_FreeSuballocationsBySize.size() == freeSuballocationsToRegister); + + VkDeviceSize lastSize = 0; + for (size_t i = 0; i < m_FreeSuballocationsBySize.size(); ++i) + { + VmaSuballocationList::iterator suballocItem = m_FreeSuballocationsBySize[i]; + + // Only free suballocations can be registered in m_FreeSuballocationsBySize. + VMA_VALIDATE(suballocItem->type == VMA_SUBALLOCATION_TYPE_FREE); + // They must be sorted by size ascending. + VMA_VALIDATE(suballocItem->size >= lastSize); + + lastSize = suballocItem->size; + } + + // Check if totals match calculated values. + VMA_VALIDATE(ValidateFreeSuballocationList()); + VMA_VALIDATE(calculatedOffset == GetSize()); + VMA_VALIDATE(calculatedSumFreeSize == m_SumFreeSize); + VMA_VALIDATE(calculatedFreeCount == m_FreeCount); + + return true; +} + +void VmaBlockMetadata_Generic::AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const +{ + const uint32_t rangeCount = (uint32_t)m_Suballocations.size(); + inoutStats.statistics.blockCount++; + inoutStats.statistics.blockBytes += GetSize(); + + for (const auto& suballoc : m_Suballocations) + { + if (suballoc.type != VMA_SUBALLOCATION_TYPE_FREE) + VmaAddDetailedStatisticsAllocation(inoutStats, suballoc.size); + else + VmaAddDetailedStatisticsUnusedRange(inoutStats, suballoc.size); + } +} + +void VmaBlockMetadata_Generic::AddStatistics(VmaStatistics& inoutStats) const +{ + inoutStats.blockCount++; + inoutStats.allocationCount += (uint32_t)m_Suballocations.size() - m_FreeCount; + inoutStats.blockBytes += GetSize(); + inoutStats.allocationBytes += GetSize() - m_SumFreeSize; +} + +#if VMA_STATS_STRING_ENABLED +void VmaBlockMetadata_Generic::PrintDetailedMap(class VmaJsonWriter& json, uint32_t mapRefCount) const +{ + PrintDetailedMap_Begin(json, + m_SumFreeSize, // unusedBytes + m_Suballocations.size() - (size_t)m_FreeCount, // allocationCount + m_FreeCount, // unusedRangeCount + mapRefCount); + + for (const auto& suballoc : m_Suballocations) + { + if (suballoc.type == VMA_SUBALLOCATION_TYPE_FREE) + { + PrintDetailedMap_UnusedRange(json, suballoc.offset, suballoc.size); + } + else + { + PrintDetailedMap_Allocation(json, suballoc.offset, suballoc.size, suballoc.userData); + } + } + + PrintDetailedMap_End(json); +} +#endif // VMA_STATS_STRING_ENABLED + +bool VmaBlockMetadata_Generic::CreateAllocationRequest( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + bool upperAddress, + VmaSuballocationType allocType, + uint32_t strategy, + VmaAllocationRequest* pAllocationRequest) +{ + VMA_ASSERT(allocSize > 0); + VMA_ASSERT(!upperAddress); + VMA_ASSERT(allocType != VMA_SUBALLOCATION_TYPE_FREE); + VMA_ASSERT(pAllocationRequest != VMA_NULL); + VMA_HEAVY_ASSERT(Validate()); + + allocSize = AlignAllocationSize(allocSize); + + pAllocationRequest->type = VmaAllocationRequestType::Normal; + pAllocationRequest->size = allocSize; + + const VkDeviceSize debugMargin = GetDebugMargin(); + + // There is not enough total free space in this block to fulfill the request: Early return. + if (m_SumFreeSize < allocSize + debugMargin) + { + return false; + } + + // New algorithm, efficiently searching freeSuballocationsBySize. + const size_t freeSuballocCount = m_FreeSuballocationsBySize.size(); + if (freeSuballocCount > 0) + { + if (strategy == 0 || + strategy == VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT) + { + // Find first free suballocation with size not less than allocSize + debugMargin. + VmaSuballocationList::iterator* const it = VmaBinaryFindFirstNotLess( + m_FreeSuballocationsBySize.data(), + m_FreeSuballocationsBySize.data() + freeSuballocCount, + allocSize + debugMargin, + VmaSuballocationItemSizeLess()); + size_t index = it - m_FreeSuballocationsBySize.data(); + for (; index < freeSuballocCount; ++index) + { + if (CheckAllocation( + allocSize, + allocAlignment, + allocType, + m_FreeSuballocationsBySize[index], + &pAllocationRequest->allocHandle)) + { + pAllocationRequest->item = m_FreeSuballocationsBySize[index]; + return true; + } + } + } + else if (strategy == VMA_ALLOCATION_INTERNAL_STRATEGY_MIN_OFFSET) + { + for (VmaSuballocationList::iterator it = m_Suballocations.begin(); + it != m_Suballocations.end(); + ++it) + { + if (it->type == VMA_SUBALLOCATION_TYPE_FREE && CheckAllocation( + allocSize, + allocAlignment, + allocType, + it, + &pAllocationRequest->allocHandle)) + { + pAllocationRequest->item = it; + return true; + } + } + } + else + { + VMA_ASSERT(strategy & (VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT | VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT )); + // Search staring from biggest suballocations. + for (size_t index = freeSuballocCount; index--; ) + { + if (CheckAllocation( + allocSize, + allocAlignment, + allocType, + m_FreeSuballocationsBySize[index], + &pAllocationRequest->allocHandle)) + { + pAllocationRequest->item = m_FreeSuballocationsBySize[index]; + return true; + } + } + } + } + + return false; +} + +VkResult VmaBlockMetadata_Generic::CheckCorruption(const void* pBlockData) +{ + for (auto& suballoc : m_Suballocations) + { + if (suballoc.type != VMA_SUBALLOCATION_TYPE_FREE) + { + if (!VmaValidateMagicValue(pBlockData, suballoc.offset + suballoc.size)) + { + VMA_ASSERT(0 && "MEMORY CORRUPTION DETECTED AFTER VALIDATED ALLOCATION!"); + return VK_ERROR_UNKNOWN_COPY; + } + } + } + + return VK_SUCCESS; +} + +void VmaBlockMetadata_Generic::Alloc( + const VmaAllocationRequest& request, + VmaSuballocationType type, + void* userData) +{ + VMA_ASSERT(request.type == VmaAllocationRequestType::Normal); + VMA_ASSERT(request.item != m_Suballocations.end()); + VmaSuballocation& suballoc = *request.item; + // Given suballocation is a free block. + VMA_ASSERT(suballoc.type == VMA_SUBALLOCATION_TYPE_FREE); + + // Given offset is inside this suballocation. + VMA_ASSERT((VkDeviceSize)request.allocHandle - 1 >= suballoc.offset); + const VkDeviceSize paddingBegin = (VkDeviceSize)request.allocHandle - suballoc.offset - 1; + VMA_ASSERT(suballoc.size >= paddingBegin + request.size); + const VkDeviceSize paddingEnd = suballoc.size - paddingBegin - request.size; + + // Unregister this free suballocation from m_FreeSuballocationsBySize and update + // it to become used. + UnregisterFreeSuballocation(request.item); + + suballoc.offset = (VkDeviceSize)request.allocHandle - 1; + suballoc.size = request.size; + suballoc.type = type; + suballoc.userData = userData; + + // If there are any free bytes remaining at the end, insert new free suballocation after current one. + if (paddingEnd) + { + VmaSuballocation paddingSuballoc = {}; + paddingSuballoc.offset = suballoc.offset + suballoc.size; + paddingSuballoc.size = paddingEnd; + paddingSuballoc.type = VMA_SUBALLOCATION_TYPE_FREE; + VmaSuballocationList::iterator next = request.item; + ++next; + const VmaSuballocationList::iterator paddingEndItem = + m_Suballocations.insert(next, paddingSuballoc); + RegisterFreeSuballocation(paddingEndItem); + } + + // If there are any free bytes remaining at the beginning, insert new free suballocation before current one. + if (paddingBegin) + { + VmaSuballocation paddingSuballoc = {}; + paddingSuballoc.offset = suballoc.offset - paddingBegin; + paddingSuballoc.size = paddingBegin; + paddingSuballoc.type = VMA_SUBALLOCATION_TYPE_FREE; + const VmaSuballocationList::iterator paddingBeginItem = + m_Suballocations.insert(request.item, paddingSuballoc); + RegisterFreeSuballocation(paddingBeginItem); + } + + // Update totals. + m_FreeCount = m_FreeCount - 1; + if (paddingBegin > 0) + { + ++m_FreeCount; + } + if (paddingEnd > 0) + { + ++m_FreeCount; + } + m_SumFreeSize -= request.size; +} + +void VmaBlockMetadata_Generic::GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) +{ + outInfo.offset = (VkDeviceSize)allocHandle - 1; + const VmaSuballocation& suballoc = *FindAtOffset(outInfo.offset); + outInfo.size = suballoc.size; + outInfo.pUserData = suballoc.userData; +} + +void* VmaBlockMetadata_Generic::GetAllocationUserData(VmaAllocHandle allocHandle) const +{ + return FindAtOffset((VkDeviceSize)allocHandle - 1)->userData; +} + +VmaAllocHandle VmaBlockMetadata_Generic::GetAllocationListBegin() const +{ + if (IsEmpty()) + return VK_NULL_HANDLE; + + for (const auto& suballoc : m_Suballocations) + { + if (suballoc.type != VMA_SUBALLOCATION_TYPE_FREE) + return (VmaAllocHandle)(suballoc.offset + 1); + } + VMA_ASSERT(false && "Should contain at least 1 allocation!"); + return VK_NULL_HANDLE; +} + +VmaAllocHandle VmaBlockMetadata_Generic::GetNextAllocation(VmaAllocHandle prevAlloc) const +{ + VmaSuballocationList::const_iterator prev = FindAtOffset((VkDeviceSize)prevAlloc - 1); + + for (VmaSuballocationList::const_iterator it = ++prev; it != m_Suballocations.end(); ++it) + { + if (it->type != VMA_SUBALLOCATION_TYPE_FREE) + return (VmaAllocHandle)(it->offset + 1); + } + return VK_NULL_HANDLE; +} + +void VmaBlockMetadata_Generic::Clear() +{ + const VkDeviceSize size = GetSize(); + + VMA_ASSERT(IsVirtual()); + m_FreeCount = 1; + m_SumFreeSize = size; + m_Suballocations.clear(); + m_FreeSuballocationsBySize.clear(); + + VmaSuballocation suballoc = {}; + suballoc.offset = 0; + suballoc.size = size; + suballoc.type = VMA_SUBALLOCATION_TYPE_FREE; + m_Suballocations.push_back(suballoc); + + m_FreeSuballocationsBySize.push_back(m_Suballocations.begin()); +} + +void VmaBlockMetadata_Generic::SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) +{ + VmaSuballocation& suballoc = *FindAtOffset((VkDeviceSize)allocHandle - 1); + suballoc.userData = userData; +} + +void VmaBlockMetadata_Generic::DebugLogAllAllocations() const +{ + for (const auto& suballoc : m_Suballocations) + { + if (suballoc.type != VMA_SUBALLOCATION_TYPE_FREE) + DebugLogAllocation(suballoc.offset, suballoc.size, suballoc.userData); + } +} + +VmaSuballocationList::iterator VmaBlockMetadata_Generic::FindAtOffset(VkDeviceSize offset) const +{ + VMA_HEAVY_ASSERT(!m_Suballocations.empty()); + const VkDeviceSize last = m_Suballocations.rbegin()->offset; + if (last == offset) + return m_Suballocations.rbegin().drop_const(); + const VkDeviceSize first = m_Suballocations.begin()->offset; + if (first == offset) + return m_Suballocations.begin().drop_const(); + + const size_t suballocCount = m_Suballocations.size(); + const VkDeviceSize step = (last - first + m_Suballocations.begin()->size) / suballocCount; + auto findSuballocation = [&](auto begin, auto end) -> VmaSuballocationList::iterator + { + for (auto suballocItem = begin; + suballocItem != end; + ++suballocItem) + { + if (suballocItem->offset == offset) + return suballocItem.drop_const(); + } + VMA_ASSERT(false && "Not found!"); + return m_Suballocations.end().drop_const(); + }; + // If requested offset is closer to the end of range, search from the end + if (offset - first > suballocCount * step / 2) + { + return findSuballocation(m_Suballocations.rbegin(), m_Suballocations.rend()); + } + return findSuballocation(m_Suballocations.begin(), m_Suballocations.end()); +} + +bool VmaBlockMetadata_Generic::ValidateFreeSuballocationList() const +{ + VkDeviceSize lastSize = 0; + for (size_t i = 0, count = m_FreeSuballocationsBySize.size(); i < count; ++i) + { + const VmaSuballocationList::iterator it = m_FreeSuballocationsBySize[i]; + + VMA_VALIDATE(it->type == VMA_SUBALLOCATION_TYPE_FREE); + VMA_VALIDATE(it->size >= lastSize); + lastSize = it->size; + } + return true; +} + +bool VmaBlockMetadata_Generic::CheckAllocation( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + VmaSuballocationType allocType, + VmaSuballocationList::const_iterator suballocItem, + VmaAllocHandle* pAllocHandle) const +{ + VMA_ASSERT(allocSize > 0); + VMA_ASSERT(allocType != VMA_SUBALLOCATION_TYPE_FREE); + VMA_ASSERT(suballocItem != m_Suballocations.cend()); + VMA_ASSERT(pAllocHandle != VMA_NULL); + + const VkDeviceSize debugMargin = GetDebugMargin(); + const VkDeviceSize bufferImageGranularity = GetBufferImageGranularity(); + + const VmaSuballocation& suballoc = *suballocItem; + VMA_ASSERT(suballoc.type == VMA_SUBALLOCATION_TYPE_FREE); + + // Size of this suballocation is too small for this request: Early return. + if (suballoc.size < allocSize) + { + return false; + } + + // Start from offset equal to beginning of this suballocation. + VkDeviceSize offset = suballoc.offset + (suballocItem == m_Suballocations.cbegin() ? 0 : GetDebugMargin()); + + // Apply debugMargin from the end of previous alloc. + if (debugMargin > 0) + { + offset += debugMargin; + } + + // Apply alignment. + offset = VmaAlignUp(offset, allocAlignment); + + // Check previous suballocations for BufferImageGranularity conflicts. + // Make bigger alignment if necessary. + if (bufferImageGranularity > 1 && bufferImageGranularity != allocAlignment) + { + bool bufferImageGranularityConflict = false; + VmaSuballocationList::const_iterator prevSuballocItem = suballocItem; + while (prevSuballocItem != m_Suballocations.cbegin()) + { + --prevSuballocItem; + const VmaSuballocation& prevSuballoc = *prevSuballocItem; + if (VmaBlocksOnSamePage(prevSuballoc.offset, prevSuballoc.size, offset, bufferImageGranularity)) + { + if (VmaIsBufferImageGranularityConflict(prevSuballoc.type, allocType)) + { + bufferImageGranularityConflict = true; + break; + } + } + else + // Already on previous page. + break; + } + if (bufferImageGranularityConflict) + { + offset = VmaAlignUp(offset, bufferImageGranularity); + } + } + + // Calculate padding at the beginning based on current offset. + const VkDeviceSize paddingBegin = offset - suballoc.offset; + + // Fail if requested size plus margin after is bigger than size of this suballocation. + if (paddingBegin + allocSize + debugMargin > suballoc.size) + { + return false; + } + + // Check next suballocations for BufferImageGranularity conflicts. + // If conflict exists, allocation cannot be made here. + if (allocSize % bufferImageGranularity || offset % bufferImageGranularity) + { + VmaSuballocationList::const_iterator nextSuballocItem = suballocItem; + ++nextSuballocItem; + while (nextSuballocItem != m_Suballocations.cend()) + { + const VmaSuballocation& nextSuballoc = *nextSuballocItem; + if (VmaBlocksOnSamePage(offset, allocSize, nextSuballoc.offset, bufferImageGranularity)) + { + if (VmaIsBufferImageGranularityConflict(allocType, nextSuballoc.type)) + { + return false; + } + } + else + { + // Already on next page. + break; + } + ++nextSuballocItem; + } + } + + *pAllocHandle = (VmaAllocHandle)(offset + 1); + // All tests passed: Success. pAllocHandle is already filled. + return true; +} + +void VmaBlockMetadata_Generic::MergeFreeWithNext(VmaSuballocationList::iterator item) +{ + VMA_ASSERT(item != m_Suballocations.end()); + VMA_ASSERT(item->type == VMA_SUBALLOCATION_TYPE_FREE); + + VmaSuballocationList::iterator nextItem = item; + ++nextItem; + VMA_ASSERT(nextItem != m_Suballocations.end()); + VMA_ASSERT(nextItem->type == VMA_SUBALLOCATION_TYPE_FREE); + + item->size += nextItem->size; + --m_FreeCount; + m_Suballocations.erase(nextItem); +} + +VmaSuballocationList::iterator VmaBlockMetadata_Generic::FreeSuballocation(VmaSuballocationList::iterator suballocItem) +{ + // Change this suballocation to be marked as free. + VmaSuballocation& suballoc = *suballocItem; + suballoc.type = VMA_SUBALLOCATION_TYPE_FREE; + suballoc.userData = VMA_NULL; + + // Update totals. + ++m_FreeCount; + m_SumFreeSize += suballoc.size; + + // Merge with previous and/or next suballocation if it's also free. + bool mergeWithNext = false; + bool mergeWithPrev = false; + + VmaSuballocationList::iterator nextItem = suballocItem; + ++nextItem; + if ((nextItem != m_Suballocations.end()) && (nextItem->type == VMA_SUBALLOCATION_TYPE_FREE)) + { + mergeWithNext = true; + } + + VmaSuballocationList::iterator prevItem = suballocItem; + if (suballocItem != m_Suballocations.begin()) + { + --prevItem; + if (prevItem->type == VMA_SUBALLOCATION_TYPE_FREE) + { + mergeWithPrev = true; + } + } + + if (mergeWithNext) + { + UnregisterFreeSuballocation(nextItem); + MergeFreeWithNext(suballocItem); + } + + if (mergeWithPrev) + { + UnregisterFreeSuballocation(prevItem); + MergeFreeWithNext(prevItem); + RegisterFreeSuballocation(prevItem); + return prevItem; + } + else + { + RegisterFreeSuballocation(suballocItem); + return suballocItem; + } +} + +void VmaBlockMetadata_Generic::RegisterFreeSuballocation(VmaSuballocationList::iterator item) +{ + VMA_ASSERT(item->type == VMA_SUBALLOCATION_TYPE_FREE); + VMA_ASSERT(item->size > 0); + + // You may want to enable this validation at the beginning or at the end of + // this function, depending on what do you want to check. + VMA_HEAVY_ASSERT(ValidateFreeSuballocationList()); + + if (m_FreeSuballocationsBySize.empty()) + { + m_FreeSuballocationsBySize.push_back(item); + } + else + { + VmaVectorInsertSorted(m_FreeSuballocationsBySize, item); + } + + //VMA_HEAVY_ASSERT(ValidateFreeSuballocationList()); +} + +void VmaBlockMetadata_Generic::UnregisterFreeSuballocation(VmaSuballocationList::iterator item) +{ + VMA_ASSERT(item->type == VMA_SUBALLOCATION_TYPE_FREE); + VMA_ASSERT(item->size > 0); + + // You may want to enable this validation at the beginning or at the end of + // this function, depending on what do you want to check. + VMA_HEAVY_ASSERT(ValidateFreeSuballocationList()); + + VmaSuballocationList::iterator* const it = VmaBinaryFindFirstNotLess( + m_FreeSuballocationsBySize.data(), + m_FreeSuballocationsBySize.data() + m_FreeSuballocationsBySize.size(), + item, + VmaSuballocationItemSizeLess()); + for (size_t index = it - m_FreeSuballocationsBySize.data(); + index < m_FreeSuballocationsBySize.size(); + ++index) + { + if (m_FreeSuballocationsBySize[index] == item) + { + VmaVectorRemove(m_FreeSuballocationsBySize, index); + return; + } + VMA_ASSERT((m_FreeSuballocationsBySize[index]->size == item->size) && "Not found."); + } + VMA_ASSERT(0 && "Not found."); + + //VMA_HEAVY_ASSERT(ValidateFreeSuballocationList()); +} +#endif // _VMA_BLOCK_METADATA_GENERIC_FUNCTIONS +#endif // _VMA_BLOCK_METADATA_GENERIC +#endif // #if 0 + +#ifndef _VMA_BLOCK_METADATA_LINEAR +/* +Allocations and their references in internal data structure look like this: + +if(m_2ndVectorMode == SECOND_VECTOR_EMPTY): + + 0 +-------+ + | | + | | + | | + +-------+ + | Alloc | 1st[m_1stNullItemsBeginCount] + +-------+ + | Alloc | 1st[m_1stNullItemsBeginCount + 1] + +-------+ + | ... | + +-------+ + | Alloc | 1st[1st.size() - 1] + +-------+ + | | + | | + | | +GetSize() +-------+ + +if(m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER): + + 0 +-------+ + | Alloc | 2nd[0] + +-------+ + | Alloc | 2nd[1] + +-------+ + | ... | + +-------+ + | Alloc | 2nd[2nd.size() - 1] + +-------+ + | | + | | + | | + +-------+ + | Alloc | 1st[m_1stNullItemsBeginCount] + +-------+ + | Alloc | 1st[m_1stNullItemsBeginCount + 1] + +-------+ + | ... | + +-------+ + | Alloc | 1st[1st.size() - 1] + +-------+ + | | +GetSize() +-------+ + +if(m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK): + + 0 +-------+ + | | + | | + | | + +-------+ + | Alloc | 1st[m_1stNullItemsBeginCount] + +-------+ + | Alloc | 1st[m_1stNullItemsBeginCount + 1] + +-------+ + | ... | + +-------+ + | Alloc | 1st[1st.size() - 1] + +-------+ + | | + | | + | | + +-------+ + | Alloc | 2nd[2nd.size() - 1] + +-------+ + | ... | + +-------+ + | Alloc | 2nd[1] + +-------+ + | Alloc | 2nd[0] +GetSize() +-------+ + +*/ +class VmaBlockMetadata_Linear : public VmaBlockMetadata +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaBlockMetadata_Linear) +public: + VmaBlockMetadata_Linear(const VkAllocationCallbacks* pAllocationCallbacks, + VkDeviceSize bufferImageGranularity, bool isVirtual); + virtual ~VmaBlockMetadata_Linear() = default; + + VkDeviceSize GetSumFreeSize() const override { return m_SumFreeSize; } + bool IsEmpty() const override { return GetAllocationCount() == 0; } + VkDeviceSize GetAllocationOffset(VmaAllocHandle allocHandle) const override { return (VkDeviceSize)allocHandle - 1; } + + void Init(VkDeviceSize size) override; + bool Validate() const override; + size_t GetAllocationCount() const override; + size_t GetFreeRegionsCount() const override; + + void AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const override; + void AddStatistics(VmaStatistics& inoutStats) const override; + +#if VMA_STATS_STRING_ENABLED + void PrintDetailedMap(class VmaJsonWriter& json) const override; +#endif + + bool CreateAllocationRequest( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + bool upperAddress, + VmaSuballocationType allocType, + uint32_t strategy, + VmaAllocationRequest* pAllocationRequest) override; + + VkResult CheckCorruption(const void* pBlockData) override; + + void Alloc( + const VmaAllocationRequest& request, + VmaSuballocationType type, + void* userData) override; + + void Free(VmaAllocHandle allocHandle) override; + void GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) override; + void* GetAllocationUserData(VmaAllocHandle allocHandle) const override; + VmaAllocHandle GetAllocationListBegin() const override; + VmaAllocHandle GetNextAllocation(VmaAllocHandle prevAlloc) const override; + VkDeviceSize GetNextFreeRegionSize(VmaAllocHandle alloc) const override; + void Clear() override; + void SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) override; + void DebugLogAllAllocations() const override; + +private: + /* + There are two suballocation vectors, used in ping-pong way. + The one with index m_1stVectorIndex is called 1st. + The one with index (m_1stVectorIndex ^ 1) is called 2nd. + 2nd can be non-empty only when 1st is not empty. + When 2nd is not empty, m_2ndVectorMode indicates its mode of operation. + */ + typedef VmaVector> SuballocationVectorType; + + enum SECOND_VECTOR_MODE + { + SECOND_VECTOR_EMPTY, + /* + Suballocations in 2nd vector are created later than the ones in 1st, but they + all have smaller offset. + */ + SECOND_VECTOR_RING_BUFFER, + /* + Suballocations in 2nd vector are upper side of double stack. + They all have offsets higher than those in 1st vector. + Top of this stack means smaller offsets, but higher indices in this vector. + */ + SECOND_VECTOR_DOUBLE_STACK, + }; + + VkDeviceSize m_SumFreeSize; + SuballocationVectorType m_Suballocations0, m_Suballocations1; + uint32_t m_1stVectorIndex; + SECOND_VECTOR_MODE m_2ndVectorMode; + // Number of items in 1st vector with hAllocation = null at the beginning. + size_t m_1stNullItemsBeginCount; + // Number of other items in 1st vector with hAllocation = null somewhere in the middle. + size_t m_1stNullItemsMiddleCount; + // Number of items in 2nd vector with hAllocation = null. + size_t m_2ndNullItemsCount; + + SuballocationVectorType& AccessSuballocations1st() { return m_1stVectorIndex ? m_Suballocations1 : m_Suballocations0; } + SuballocationVectorType& AccessSuballocations2nd() { return m_1stVectorIndex ? m_Suballocations0 : m_Suballocations1; } + const SuballocationVectorType& AccessSuballocations1st() const { return m_1stVectorIndex ? m_Suballocations1 : m_Suballocations0; } + const SuballocationVectorType& AccessSuballocations2nd() const { return m_1stVectorIndex ? m_Suballocations0 : m_Suballocations1; } + + VmaSuballocation& FindSuballocation(VkDeviceSize offset) const; + bool ShouldCompact1st() const; + void CleanupAfterFree(); + + bool CreateAllocationRequest_LowerAddress( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + VmaSuballocationType allocType, + uint32_t strategy, + VmaAllocationRequest* pAllocationRequest); + bool CreateAllocationRequest_UpperAddress( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + VmaSuballocationType allocType, + uint32_t strategy, + VmaAllocationRequest* pAllocationRequest); +}; + +#ifndef _VMA_BLOCK_METADATA_LINEAR_FUNCTIONS +VmaBlockMetadata_Linear::VmaBlockMetadata_Linear(const VkAllocationCallbacks* pAllocationCallbacks, + VkDeviceSize bufferImageGranularity, bool isVirtual) + : VmaBlockMetadata(pAllocationCallbacks, bufferImageGranularity, isVirtual), + m_SumFreeSize(0), + m_Suballocations0(VmaStlAllocator(pAllocationCallbacks)), + m_Suballocations1(VmaStlAllocator(pAllocationCallbacks)), + m_1stVectorIndex(0), + m_2ndVectorMode(SECOND_VECTOR_EMPTY), + m_1stNullItemsBeginCount(0), + m_1stNullItemsMiddleCount(0), + m_2ndNullItemsCount(0) {} + +void VmaBlockMetadata_Linear::Init(VkDeviceSize size) +{ + VmaBlockMetadata::Init(size); + m_SumFreeSize = size; +} + +bool VmaBlockMetadata_Linear::Validate() const +{ + const SuballocationVectorType& suballocations1st = AccessSuballocations1st(); + const SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); + + VMA_VALIDATE(suballocations2nd.empty() == (m_2ndVectorMode == SECOND_VECTOR_EMPTY)); + VMA_VALIDATE(!suballocations1st.empty() || + suballocations2nd.empty() || + m_2ndVectorMode != SECOND_VECTOR_RING_BUFFER); + + if (!suballocations1st.empty()) + { + // Null item at the beginning should be accounted into m_1stNullItemsBeginCount. + VMA_VALIDATE(suballocations1st[m_1stNullItemsBeginCount].type != VMA_SUBALLOCATION_TYPE_FREE); + // Null item at the end should be just pop_back(). + VMA_VALIDATE(suballocations1st.back().type != VMA_SUBALLOCATION_TYPE_FREE); + } + if (!suballocations2nd.empty()) + { + // Null item at the end should be just pop_back(). + VMA_VALIDATE(suballocations2nd.back().type != VMA_SUBALLOCATION_TYPE_FREE); + } + + VMA_VALIDATE(m_1stNullItemsBeginCount + m_1stNullItemsMiddleCount <= suballocations1st.size()); + VMA_VALIDATE(m_2ndNullItemsCount <= suballocations2nd.size()); + + VkDeviceSize sumUsedSize = 0; + const size_t suballoc1stCount = suballocations1st.size(); + const VkDeviceSize debugMargin = GetDebugMargin(); + VkDeviceSize offset = 0; + + if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) + { + const size_t suballoc2ndCount = suballocations2nd.size(); + size_t nullItem2ndCount = 0; + for (size_t i = 0; i < suballoc2ndCount; ++i) + { + const VmaSuballocation& suballoc = suballocations2nd[i]; + const bool currFree = (suballoc.type == VMA_SUBALLOCATION_TYPE_FREE); + + VmaAllocation const alloc = (VmaAllocation)suballoc.userData; + if (!IsVirtual()) + { + VMA_VALIDATE(currFree == (alloc == VK_NULL_HANDLE)); + } + VMA_VALIDATE(suballoc.offset >= offset); + + if (!currFree) + { + if (!IsVirtual()) + { + VMA_VALIDATE((VkDeviceSize)alloc->GetAllocHandle() == suballoc.offset + 1); + VMA_VALIDATE(alloc->GetSize() == suballoc.size); + } + sumUsedSize += suballoc.size; + } + else + { + ++nullItem2ndCount; + } + + offset = suballoc.offset + suballoc.size + debugMargin; + } + + VMA_VALIDATE(nullItem2ndCount == m_2ndNullItemsCount); + } + + for (size_t i = 0; i < m_1stNullItemsBeginCount; ++i) + { + const VmaSuballocation& suballoc = suballocations1st[i]; + VMA_VALIDATE(suballoc.type == VMA_SUBALLOCATION_TYPE_FREE && + suballoc.userData == VMA_NULL); + } + + size_t nullItem1stCount = m_1stNullItemsBeginCount; + + for (size_t i = m_1stNullItemsBeginCount; i < suballoc1stCount; ++i) + { + const VmaSuballocation& suballoc = suballocations1st[i]; + const bool currFree = (suballoc.type == VMA_SUBALLOCATION_TYPE_FREE); + + VmaAllocation const alloc = (VmaAllocation)suballoc.userData; + if (!IsVirtual()) + { + VMA_VALIDATE(currFree == (alloc == VK_NULL_HANDLE)); + } + VMA_VALIDATE(suballoc.offset >= offset); + VMA_VALIDATE(i >= m_1stNullItemsBeginCount || currFree); + + if (!currFree) + { + if (!IsVirtual()) + { + VMA_VALIDATE((VkDeviceSize)alloc->GetAllocHandle() == suballoc.offset + 1); + VMA_VALIDATE(alloc->GetSize() == suballoc.size); + } + sumUsedSize += suballoc.size; + } + else + { + ++nullItem1stCount; + } + + offset = suballoc.offset + suballoc.size + debugMargin; + } + VMA_VALIDATE(nullItem1stCount == m_1stNullItemsBeginCount + m_1stNullItemsMiddleCount); + + if (m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) + { + const size_t suballoc2ndCount = suballocations2nd.size(); + size_t nullItem2ndCount = 0; + for (size_t i = suballoc2ndCount; i--; ) + { + const VmaSuballocation& suballoc = suballocations2nd[i]; + const bool currFree = (suballoc.type == VMA_SUBALLOCATION_TYPE_FREE); + + VmaAllocation const alloc = (VmaAllocation)suballoc.userData; + if (!IsVirtual()) + { + VMA_VALIDATE(currFree == (alloc == VK_NULL_HANDLE)); + } + VMA_VALIDATE(suballoc.offset >= offset); + + if (!currFree) + { + if (!IsVirtual()) + { + VMA_VALIDATE((VkDeviceSize)alloc->GetAllocHandle() == suballoc.offset + 1); + VMA_VALIDATE(alloc->GetSize() == suballoc.size); + } + sumUsedSize += suballoc.size; + } + else + { + ++nullItem2ndCount; + } + + offset = suballoc.offset + suballoc.size + debugMargin; + } + + VMA_VALIDATE(nullItem2ndCount == m_2ndNullItemsCount); + } + + VMA_VALIDATE(offset <= GetSize()); + VMA_VALIDATE(m_SumFreeSize == GetSize() - sumUsedSize); + + return true; +} + +size_t VmaBlockMetadata_Linear::GetAllocationCount() const +{ + return AccessSuballocations1st().size() - m_1stNullItemsBeginCount - m_1stNullItemsMiddleCount + + AccessSuballocations2nd().size() - m_2ndNullItemsCount; +} + +size_t VmaBlockMetadata_Linear::GetFreeRegionsCount() const +{ + // Function only used for defragmentation, which is disabled for this algorithm + VMA_ASSERT(0); + return SIZE_MAX; +} + +void VmaBlockMetadata_Linear::AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const +{ + const VkDeviceSize size = GetSize(); + const SuballocationVectorType& suballocations1st = AccessSuballocations1st(); + const SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); + const size_t suballoc1stCount = suballocations1st.size(); + const size_t suballoc2ndCount = suballocations2nd.size(); + + inoutStats.statistics.blockCount++; + inoutStats.statistics.blockBytes += size; + + VkDeviceSize lastOffset = 0; + + if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) + { + const VkDeviceSize freeSpace2ndTo1stEnd = suballocations1st[m_1stNullItemsBeginCount].offset; + size_t nextAlloc2ndIndex = 0; + while (lastOffset < freeSpace2ndTo1stEnd) + { + // Find next non-null allocation or move nextAllocIndex to the end. + while (nextAlloc2ndIndex < suballoc2ndCount && + suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) + { + ++nextAlloc2ndIndex; + } + + // Found non-null allocation. + if (nextAlloc2ndIndex < suballoc2ndCount) + { + const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; + + // 1. Process free space before this allocation. + if (lastOffset < suballoc.offset) + { + // There is free space from lastOffset to suballoc.offset. + const VkDeviceSize unusedRangeSize = suballoc.offset - lastOffset; + VmaAddDetailedStatisticsUnusedRange(inoutStats, unusedRangeSize); + } + + // 2. Process this allocation. + // There is allocation with suballoc.offset, suballoc.size. + VmaAddDetailedStatisticsAllocation(inoutStats, suballoc.size); + + // 3. Prepare for next iteration. + lastOffset = suballoc.offset + suballoc.size; + ++nextAlloc2ndIndex; + } + // We are at the end. + else + { + // There is free space from lastOffset to freeSpace2ndTo1stEnd. + if (lastOffset < freeSpace2ndTo1stEnd) + { + const VkDeviceSize unusedRangeSize = freeSpace2ndTo1stEnd - lastOffset; + VmaAddDetailedStatisticsUnusedRange(inoutStats, unusedRangeSize); + } + + // End of loop. + lastOffset = freeSpace2ndTo1stEnd; + } + } + } + + size_t nextAlloc1stIndex = m_1stNullItemsBeginCount; + const VkDeviceSize freeSpace1stTo2ndEnd = + m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK ? suballocations2nd.back().offset : size; + while (lastOffset < freeSpace1stTo2ndEnd) + { + // Find next non-null allocation or move nextAllocIndex to the end. + while (nextAlloc1stIndex < suballoc1stCount && + suballocations1st[nextAlloc1stIndex].userData == VMA_NULL) + { + ++nextAlloc1stIndex; + } + + // Found non-null allocation. + if (nextAlloc1stIndex < suballoc1stCount) + { + const VmaSuballocation& suballoc = suballocations1st[nextAlloc1stIndex]; + + // 1. Process free space before this allocation. + if (lastOffset < suballoc.offset) + { + // There is free space from lastOffset to suballoc.offset. + const VkDeviceSize unusedRangeSize = suballoc.offset - lastOffset; + VmaAddDetailedStatisticsUnusedRange(inoutStats, unusedRangeSize); + } + + // 2. Process this allocation. + // There is allocation with suballoc.offset, suballoc.size. + VmaAddDetailedStatisticsAllocation(inoutStats, suballoc.size); + + // 3. Prepare for next iteration. + lastOffset = suballoc.offset + suballoc.size; + ++nextAlloc1stIndex; + } + // We are at the end. + else + { + // There is free space from lastOffset to freeSpace1stTo2ndEnd. + if (lastOffset < freeSpace1stTo2ndEnd) + { + const VkDeviceSize unusedRangeSize = freeSpace1stTo2ndEnd - lastOffset; + VmaAddDetailedStatisticsUnusedRange(inoutStats, unusedRangeSize); + } + + // End of loop. + lastOffset = freeSpace1stTo2ndEnd; + } + } + + if (m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) + { + size_t nextAlloc2ndIndex = suballocations2nd.size() - 1; + while (lastOffset < size) + { + // Find next non-null allocation or move nextAllocIndex to the end. + while (nextAlloc2ndIndex != SIZE_MAX && + suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) + { + --nextAlloc2ndIndex; + } + + // Found non-null allocation. + if (nextAlloc2ndIndex != SIZE_MAX) + { + const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; + + // 1. Process free space before this allocation. + if (lastOffset < suballoc.offset) + { + // There is free space from lastOffset to suballoc.offset. + const VkDeviceSize unusedRangeSize = suballoc.offset - lastOffset; + VmaAddDetailedStatisticsUnusedRange(inoutStats, unusedRangeSize); + } + + // 2. Process this allocation. + // There is allocation with suballoc.offset, suballoc.size. + VmaAddDetailedStatisticsAllocation(inoutStats, suballoc.size); + + // 3. Prepare for next iteration. + lastOffset = suballoc.offset + suballoc.size; + --nextAlloc2ndIndex; + } + // We are at the end. + else + { + // There is free space from lastOffset to size. + if (lastOffset < size) + { + const VkDeviceSize unusedRangeSize = size - lastOffset; + VmaAddDetailedStatisticsUnusedRange(inoutStats, unusedRangeSize); + } + + // End of loop. + lastOffset = size; + } + } + } +} + +void VmaBlockMetadata_Linear::AddStatistics(VmaStatistics& inoutStats) const +{ + const SuballocationVectorType& suballocations1st = AccessSuballocations1st(); + const SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); + const VkDeviceSize size = GetSize(); + const size_t suballoc1stCount = suballocations1st.size(); + const size_t suballoc2ndCount = suballocations2nd.size(); + + inoutStats.blockCount++; + inoutStats.blockBytes += size; + inoutStats.allocationBytes += size - m_SumFreeSize; + + VkDeviceSize lastOffset = 0; + + if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) + { + const VkDeviceSize freeSpace2ndTo1stEnd = suballocations1st[m_1stNullItemsBeginCount].offset; + size_t nextAlloc2ndIndex = m_1stNullItemsBeginCount; + while (lastOffset < freeSpace2ndTo1stEnd) + { + // Find next non-null allocation or move nextAlloc2ndIndex to the end. + while (nextAlloc2ndIndex < suballoc2ndCount && + suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) + { + ++nextAlloc2ndIndex; + } + + // Found non-null allocation. + if (nextAlloc2ndIndex < suballoc2ndCount) + { + const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; + + // Process this allocation. + // There is allocation with suballoc.offset, suballoc.size. + ++inoutStats.allocationCount; + + // Prepare for next iteration. + lastOffset = suballoc.offset + suballoc.size; + ++nextAlloc2ndIndex; + } + // We are at the end. + else + { + // End of loop. + lastOffset = freeSpace2ndTo1stEnd; + } + } + } + + size_t nextAlloc1stIndex = m_1stNullItemsBeginCount; + const VkDeviceSize freeSpace1stTo2ndEnd = + m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK ? suballocations2nd.back().offset : size; + while (lastOffset < freeSpace1stTo2ndEnd) + { + // Find next non-null allocation or move nextAllocIndex to the end. + while (nextAlloc1stIndex < suballoc1stCount && + suballocations1st[nextAlloc1stIndex].userData == VMA_NULL) + { + ++nextAlloc1stIndex; + } + + // Found non-null allocation. + if (nextAlloc1stIndex < suballoc1stCount) + { + const VmaSuballocation& suballoc = suballocations1st[nextAlloc1stIndex]; + + // Process this allocation. + // There is allocation with suballoc.offset, suballoc.size. + ++inoutStats.allocationCount; + + // Prepare for next iteration. + lastOffset = suballoc.offset + suballoc.size; + ++nextAlloc1stIndex; + } + // We are at the end. + else + { + // End of loop. + lastOffset = freeSpace1stTo2ndEnd; + } + } + + if (m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) + { + size_t nextAlloc2ndIndex = suballocations2nd.size() - 1; + while (lastOffset < size) + { + // Find next non-null allocation or move nextAlloc2ndIndex to the end. + while (nextAlloc2ndIndex != SIZE_MAX && + suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) + { + --nextAlloc2ndIndex; + } + + // Found non-null allocation. + if (nextAlloc2ndIndex != SIZE_MAX) + { + const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; + + // Process this allocation. + // There is allocation with suballoc.offset, suballoc.size. + ++inoutStats.allocationCount; + + // Prepare for next iteration. + lastOffset = suballoc.offset + suballoc.size; + --nextAlloc2ndIndex; + } + // We are at the end. + else + { + // End of loop. + lastOffset = size; + } + } + } +} + +#if VMA_STATS_STRING_ENABLED +void VmaBlockMetadata_Linear::PrintDetailedMap(class VmaJsonWriter& json) const +{ + const VkDeviceSize size = GetSize(); + const SuballocationVectorType& suballocations1st = AccessSuballocations1st(); + const SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); + const size_t suballoc1stCount = suballocations1st.size(); + const size_t suballoc2ndCount = suballocations2nd.size(); + + // FIRST PASS + + size_t unusedRangeCount = 0; + VkDeviceSize usedBytes = 0; + + VkDeviceSize lastOffset = 0; + + size_t alloc2ndCount = 0; + if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) + { + const VkDeviceSize freeSpace2ndTo1stEnd = suballocations1st[m_1stNullItemsBeginCount].offset; + size_t nextAlloc2ndIndex = 0; + while (lastOffset < freeSpace2ndTo1stEnd) + { + // Find next non-null allocation or move nextAlloc2ndIndex to the end. + while (nextAlloc2ndIndex < suballoc2ndCount && + suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) + { + ++nextAlloc2ndIndex; + } + + // Found non-null allocation. + if (nextAlloc2ndIndex < suballoc2ndCount) + { + const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; + + // 1. Process free space before this allocation. + if (lastOffset < suballoc.offset) + { + // There is free space from lastOffset to suballoc.offset. + ++unusedRangeCount; + } + + // 2. Process this allocation. + // There is allocation with suballoc.offset, suballoc.size. + ++alloc2ndCount; + usedBytes += suballoc.size; + + // 3. Prepare for next iteration. + lastOffset = suballoc.offset + suballoc.size; + ++nextAlloc2ndIndex; + } + // We are at the end. + else + { + if (lastOffset < freeSpace2ndTo1stEnd) + { + // There is free space from lastOffset to freeSpace2ndTo1stEnd. + ++unusedRangeCount; + } + + // End of loop. + lastOffset = freeSpace2ndTo1stEnd; + } + } + } + + size_t nextAlloc1stIndex = m_1stNullItemsBeginCount; + size_t alloc1stCount = 0; + const VkDeviceSize freeSpace1stTo2ndEnd = + m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK ? suballocations2nd.back().offset : size; + while (lastOffset < freeSpace1stTo2ndEnd) + { + // Find next non-null allocation or move nextAllocIndex to the end. + while (nextAlloc1stIndex < suballoc1stCount && + suballocations1st[nextAlloc1stIndex].userData == VMA_NULL) + { + ++nextAlloc1stIndex; + } + + // Found non-null allocation. + if (nextAlloc1stIndex < suballoc1stCount) + { + const VmaSuballocation& suballoc = suballocations1st[nextAlloc1stIndex]; + + // 1. Process free space before this allocation. + if (lastOffset < suballoc.offset) + { + // There is free space from lastOffset to suballoc.offset. + ++unusedRangeCount; + } + + // 2. Process this allocation. + // There is allocation with suballoc.offset, suballoc.size. + ++alloc1stCount; + usedBytes += suballoc.size; + + // 3. Prepare for next iteration. + lastOffset = suballoc.offset + suballoc.size; + ++nextAlloc1stIndex; + } + // We are at the end. + else + { + if (lastOffset < size) + { + // There is free space from lastOffset to freeSpace1stTo2ndEnd. + ++unusedRangeCount; + } + + // End of loop. + lastOffset = freeSpace1stTo2ndEnd; + } + } + + if (m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) + { + size_t nextAlloc2ndIndex = suballocations2nd.size() - 1; + while (lastOffset < size) + { + // Find next non-null allocation or move nextAlloc2ndIndex to the end. + while (nextAlloc2ndIndex != SIZE_MAX && + suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) + { + --nextAlloc2ndIndex; + } + + // Found non-null allocation. + if (nextAlloc2ndIndex != SIZE_MAX) + { + const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; + + // 1. Process free space before this allocation. + if (lastOffset < suballoc.offset) + { + // There is free space from lastOffset to suballoc.offset. + ++unusedRangeCount; + } + + // 2. Process this allocation. + // There is allocation with suballoc.offset, suballoc.size. + ++alloc2ndCount; + usedBytes += suballoc.size; + + // 3. Prepare for next iteration. + lastOffset = suballoc.offset + suballoc.size; + --nextAlloc2ndIndex; + } + // We are at the end. + else + { + if (lastOffset < size) + { + // There is free space from lastOffset to size. + ++unusedRangeCount; + } + + // End of loop. + lastOffset = size; + } + } + } + + const VkDeviceSize unusedBytes = size - usedBytes; + PrintDetailedMap_Begin(json, unusedBytes, alloc1stCount + alloc2ndCount, unusedRangeCount); + + // SECOND PASS + lastOffset = 0; + + if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) + { + const VkDeviceSize freeSpace2ndTo1stEnd = suballocations1st[m_1stNullItemsBeginCount].offset; + size_t nextAlloc2ndIndex = 0; + while (lastOffset < freeSpace2ndTo1stEnd) + { + // Find next non-null allocation or move nextAlloc2ndIndex to the end. + while (nextAlloc2ndIndex < suballoc2ndCount && + suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) + { + ++nextAlloc2ndIndex; + } + + // Found non-null allocation. + if (nextAlloc2ndIndex < suballoc2ndCount) + { + const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; + + // 1. Process free space before this allocation. + if (lastOffset < suballoc.offset) + { + // There is free space from lastOffset to suballoc.offset. + const VkDeviceSize unusedRangeSize = suballoc.offset - lastOffset; + PrintDetailedMap_UnusedRange(json, lastOffset, unusedRangeSize); + } + + // 2. Process this allocation. + // There is allocation with suballoc.offset, suballoc.size. + PrintDetailedMap_Allocation(json, suballoc.offset, suballoc.size, suballoc.userData); + + // 3. Prepare for next iteration. + lastOffset = suballoc.offset + suballoc.size; + ++nextAlloc2ndIndex; + } + // We are at the end. + else + { + if (lastOffset < freeSpace2ndTo1stEnd) + { + // There is free space from lastOffset to freeSpace2ndTo1stEnd. + const VkDeviceSize unusedRangeSize = freeSpace2ndTo1stEnd - lastOffset; + PrintDetailedMap_UnusedRange(json, lastOffset, unusedRangeSize); + } + + // End of loop. + lastOffset = freeSpace2ndTo1stEnd; + } + } + } + + nextAlloc1stIndex = m_1stNullItemsBeginCount; + while (lastOffset < freeSpace1stTo2ndEnd) + { + // Find next non-null allocation or move nextAllocIndex to the end. + while (nextAlloc1stIndex < suballoc1stCount && + suballocations1st[nextAlloc1stIndex].userData == VMA_NULL) + { + ++nextAlloc1stIndex; + } + + // Found non-null allocation. + if (nextAlloc1stIndex < suballoc1stCount) + { + const VmaSuballocation& suballoc = suballocations1st[nextAlloc1stIndex]; + + // 1. Process free space before this allocation. + if (lastOffset < suballoc.offset) + { + // There is free space from lastOffset to suballoc.offset. + const VkDeviceSize unusedRangeSize = suballoc.offset - lastOffset; + PrintDetailedMap_UnusedRange(json, lastOffset, unusedRangeSize); + } + + // 2. Process this allocation. + // There is allocation with suballoc.offset, suballoc.size. + PrintDetailedMap_Allocation(json, suballoc.offset, suballoc.size, suballoc.userData); + + // 3. Prepare for next iteration. + lastOffset = suballoc.offset + suballoc.size; + ++nextAlloc1stIndex; + } + // We are at the end. + else + { + if (lastOffset < freeSpace1stTo2ndEnd) + { + // There is free space from lastOffset to freeSpace1stTo2ndEnd. + const VkDeviceSize unusedRangeSize = freeSpace1stTo2ndEnd - lastOffset; + PrintDetailedMap_UnusedRange(json, lastOffset, unusedRangeSize); + } + + // End of loop. + lastOffset = freeSpace1stTo2ndEnd; + } + } + + if (m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) + { + size_t nextAlloc2ndIndex = suballocations2nd.size() - 1; + while (lastOffset < size) + { + // Find next non-null allocation or move nextAlloc2ndIndex to the end. + while (nextAlloc2ndIndex != SIZE_MAX && + suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) + { + --nextAlloc2ndIndex; + } + + // Found non-null allocation. + if (nextAlloc2ndIndex != SIZE_MAX) + { + const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; + + // 1. Process free space before this allocation. + if (lastOffset < suballoc.offset) + { + // There is free space from lastOffset to suballoc.offset. + const VkDeviceSize unusedRangeSize = suballoc.offset - lastOffset; + PrintDetailedMap_UnusedRange(json, lastOffset, unusedRangeSize); + } + + // 2. Process this allocation. + // There is allocation with suballoc.offset, suballoc.size. + PrintDetailedMap_Allocation(json, suballoc.offset, suballoc.size, suballoc.userData); + + // 3. Prepare for next iteration. + lastOffset = suballoc.offset + suballoc.size; + --nextAlloc2ndIndex; + } + // We are at the end. + else + { + if (lastOffset < size) + { + // There is free space from lastOffset to size. + const VkDeviceSize unusedRangeSize = size - lastOffset; + PrintDetailedMap_UnusedRange(json, lastOffset, unusedRangeSize); + } + + // End of loop. + lastOffset = size; + } + } + } + + PrintDetailedMap_End(json); +} +#endif // VMA_STATS_STRING_ENABLED + +bool VmaBlockMetadata_Linear::CreateAllocationRequest( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + bool upperAddress, + VmaSuballocationType allocType, + uint32_t strategy, + VmaAllocationRequest* pAllocationRequest) +{ + VMA_ASSERT(allocSize > 0); + VMA_ASSERT(allocType != VMA_SUBALLOCATION_TYPE_FREE); + VMA_ASSERT(pAllocationRequest != VMA_NULL); + VMA_HEAVY_ASSERT(Validate()); + pAllocationRequest->size = allocSize; + return upperAddress ? + CreateAllocationRequest_UpperAddress( + allocSize, allocAlignment, allocType, strategy, pAllocationRequest) : + CreateAllocationRequest_LowerAddress( + allocSize, allocAlignment, allocType, strategy, pAllocationRequest); +} + +VkResult VmaBlockMetadata_Linear::CheckCorruption(const void* pBlockData) +{ + VMA_ASSERT(!IsVirtual()); + SuballocationVectorType& suballocations1st = AccessSuballocations1st(); + for (size_t i = m_1stNullItemsBeginCount, count = suballocations1st.size(); i < count; ++i) + { + const VmaSuballocation& suballoc = suballocations1st[i]; + if (suballoc.type != VMA_SUBALLOCATION_TYPE_FREE) + { + if (!VmaValidateMagicValue(pBlockData, suballoc.offset + suballoc.size)) + { + VMA_ASSERT(0 && "MEMORY CORRUPTION DETECTED AFTER VALIDATED ALLOCATION!"); + return VK_ERROR_UNKNOWN_COPY; + } + } + } + + SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); + for (size_t i = 0, count = suballocations2nd.size(); i < count; ++i) + { + const VmaSuballocation& suballoc = suballocations2nd[i]; + if (suballoc.type != VMA_SUBALLOCATION_TYPE_FREE) + { + if (!VmaValidateMagicValue(pBlockData, suballoc.offset + suballoc.size)) + { + VMA_ASSERT(0 && "MEMORY CORRUPTION DETECTED AFTER VALIDATED ALLOCATION!"); + return VK_ERROR_UNKNOWN_COPY; + } + } + } + + return VK_SUCCESS; +} + +void VmaBlockMetadata_Linear::Alloc( + const VmaAllocationRequest& request, + VmaSuballocationType type, + void* userData) +{ + const VkDeviceSize offset = (VkDeviceSize)request.allocHandle - 1; + const VmaSuballocation newSuballoc = { offset, request.size, userData, type }; + + switch (request.type) + { + case VmaAllocationRequestType::UpperAddress: + { + VMA_ASSERT(m_2ndVectorMode != SECOND_VECTOR_RING_BUFFER && + "CRITICAL ERROR: Trying to use linear allocator as double stack while it was already used as ring buffer."); + SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); + suballocations2nd.push_back(newSuballoc); + m_2ndVectorMode = SECOND_VECTOR_DOUBLE_STACK; + } + break; + case VmaAllocationRequestType::EndOf1st: + { + SuballocationVectorType& suballocations1st = AccessSuballocations1st(); + + VMA_ASSERT(suballocations1st.empty() || + offset >= suballocations1st.back().offset + suballocations1st.back().size); + // Check if it fits before the end of the block. + VMA_ASSERT(offset + request.size <= GetSize()); + + suballocations1st.push_back(newSuballoc); + } + break; + case VmaAllocationRequestType::EndOf2nd: + { + SuballocationVectorType& suballocations1st = AccessSuballocations1st(); + // New allocation at the end of 2-part ring buffer, so before first allocation from 1st vector. + VMA_ASSERT(!suballocations1st.empty() && + offset + request.size <= suballocations1st[m_1stNullItemsBeginCount].offset); + SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); + + switch (m_2ndVectorMode) + { + case SECOND_VECTOR_EMPTY: + // First allocation from second part ring buffer. + VMA_ASSERT(suballocations2nd.empty()); + m_2ndVectorMode = SECOND_VECTOR_RING_BUFFER; + break; + case SECOND_VECTOR_RING_BUFFER: + // 2-part ring buffer is already started. + VMA_ASSERT(!suballocations2nd.empty()); + break; + case SECOND_VECTOR_DOUBLE_STACK: + VMA_ASSERT(0 && "CRITICAL ERROR: Trying to use linear allocator as ring buffer while it was already used as double stack."); + break; + default: + VMA_ASSERT(0); + } + + suballocations2nd.push_back(newSuballoc); + } + break; + default: + VMA_ASSERT(0 && "CRITICAL INTERNAL ERROR."); + } + + m_SumFreeSize -= newSuballoc.size; +} + +void VmaBlockMetadata_Linear::Free(VmaAllocHandle allocHandle) +{ + SuballocationVectorType& suballocations1st = AccessSuballocations1st(); + SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); + VkDeviceSize offset = (VkDeviceSize)allocHandle - 1; + + if (!suballocations1st.empty()) + { + // First allocation: Mark it as next empty at the beginning. + VmaSuballocation& firstSuballoc = suballocations1st[m_1stNullItemsBeginCount]; + if (firstSuballoc.offset == offset) + { + firstSuballoc.type = VMA_SUBALLOCATION_TYPE_FREE; + firstSuballoc.userData = VMA_NULL; + m_SumFreeSize += firstSuballoc.size; + ++m_1stNullItemsBeginCount; + CleanupAfterFree(); + return; + } + } + + // Last allocation in 2-part ring buffer or top of upper stack (same logic). + if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER || + m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) + { + VmaSuballocation& lastSuballoc = suballocations2nd.back(); + if (lastSuballoc.offset == offset) + { + m_SumFreeSize += lastSuballoc.size; + suballocations2nd.pop_back(); + CleanupAfterFree(); + return; + } + } + // Last allocation in 1st vector. + else if (m_2ndVectorMode == SECOND_VECTOR_EMPTY) + { + VmaSuballocation& lastSuballoc = suballocations1st.back(); + if (lastSuballoc.offset == offset) + { + m_SumFreeSize += lastSuballoc.size; + suballocations1st.pop_back(); + CleanupAfterFree(); + return; + } + } + + VmaSuballocation refSuballoc; + refSuballoc.offset = offset; + // Rest of members stays uninitialized intentionally for better performance. + + // Item from the middle of 1st vector. + { + const SuballocationVectorType::iterator it = VmaBinaryFindSorted( + suballocations1st.begin() + m_1stNullItemsBeginCount, + suballocations1st.end(), + refSuballoc, + VmaSuballocationOffsetLess()); + if (it != suballocations1st.end()) + { + it->type = VMA_SUBALLOCATION_TYPE_FREE; + it->userData = VMA_NULL; + ++m_1stNullItemsMiddleCount; + m_SumFreeSize += it->size; + CleanupAfterFree(); + return; + } + } + + if (m_2ndVectorMode != SECOND_VECTOR_EMPTY) + { + // Item from the middle of 2nd vector. + const SuballocationVectorType::iterator it = m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER ? + VmaBinaryFindSorted(suballocations2nd.begin(), suballocations2nd.end(), refSuballoc, VmaSuballocationOffsetLess()) : + VmaBinaryFindSorted(suballocations2nd.begin(), suballocations2nd.end(), refSuballoc, VmaSuballocationOffsetGreater()); + if (it != suballocations2nd.end()) + { + it->type = VMA_SUBALLOCATION_TYPE_FREE; + it->userData = VMA_NULL; + ++m_2ndNullItemsCount; + m_SumFreeSize += it->size; + CleanupAfterFree(); + return; + } + } + + VMA_ASSERT(0 && "Allocation to free not found in linear allocator!"); +} + +void VmaBlockMetadata_Linear::GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) +{ + outInfo.offset = (VkDeviceSize)allocHandle - 1; + VmaSuballocation& suballoc = FindSuballocation(outInfo.offset); + outInfo.size = suballoc.size; + outInfo.pUserData = suballoc.userData; +} + +void* VmaBlockMetadata_Linear::GetAllocationUserData(VmaAllocHandle allocHandle) const +{ + return FindSuballocation((VkDeviceSize)allocHandle - 1).userData; +} + +VmaAllocHandle VmaBlockMetadata_Linear::GetAllocationListBegin() const +{ + // Function only used for defragmentation, which is disabled for this algorithm + VMA_ASSERT(0); + return VK_NULL_HANDLE; +} + +VmaAllocHandle VmaBlockMetadata_Linear::GetNextAllocation(VmaAllocHandle prevAlloc) const +{ + // Function only used for defragmentation, which is disabled for this algorithm + VMA_ASSERT(0); + return VK_NULL_HANDLE; +} + +VkDeviceSize VmaBlockMetadata_Linear::GetNextFreeRegionSize(VmaAllocHandle alloc) const +{ + // Function only used for defragmentation, which is disabled for this algorithm + VMA_ASSERT(0); + return 0; +} + +void VmaBlockMetadata_Linear::Clear() +{ + m_SumFreeSize = GetSize(); + m_Suballocations0.clear(); + m_Suballocations1.clear(); + // Leaving m_1stVectorIndex unchanged - it doesn't matter. + m_2ndVectorMode = SECOND_VECTOR_EMPTY; + m_1stNullItemsBeginCount = 0; + m_1stNullItemsMiddleCount = 0; + m_2ndNullItemsCount = 0; +} + +void VmaBlockMetadata_Linear::SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) +{ + VmaSuballocation& suballoc = FindSuballocation((VkDeviceSize)allocHandle - 1); + suballoc.userData = userData; +} + +void VmaBlockMetadata_Linear::DebugLogAllAllocations() const +{ + const SuballocationVectorType& suballocations1st = AccessSuballocations1st(); + for (auto it = suballocations1st.begin() + m_1stNullItemsBeginCount; it != suballocations1st.end(); ++it) + if (it->type != VMA_SUBALLOCATION_TYPE_FREE) + DebugLogAllocation(it->offset, it->size, it->userData); + + const SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); + for (auto it = suballocations2nd.begin(); it != suballocations2nd.end(); ++it) + if (it->type != VMA_SUBALLOCATION_TYPE_FREE) + DebugLogAllocation(it->offset, it->size, it->userData); +} + +VmaSuballocation& VmaBlockMetadata_Linear::FindSuballocation(VkDeviceSize offset) const +{ + const SuballocationVectorType& suballocations1st = AccessSuballocations1st(); + const SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); + + VmaSuballocation refSuballoc; + refSuballoc.offset = offset; + // Rest of members stays uninitialized intentionally for better performance. + + // Item from the 1st vector. + { + SuballocationVectorType::const_iterator it = VmaBinaryFindSorted( + suballocations1st.begin() + m_1stNullItemsBeginCount, + suballocations1st.end(), + refSuballoc, + VmaSuballocationOffsetLess()); + if (it != suballocations1st.end()) + { + return const_cast(*it); + } + } + + if (m_2ndVectorMode != SECOND_VECTOR_EMPTY) + { + // Rest of members stays uninitialized intentionally for better performance. + SuballocationVectorType::const_iterator it = m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER ? + VmaBinaryFindSorted(suballocations2nd.begin(), suballocations2nd.end(), refSuballoc, VmaSuballocationOffsetLess()) : + VmaBinaryFindSorted(suballocations2nd.begin(), suballocations2nd.end(), refSuballoc, VmaSuballocationOffsetGreater()); + if (it != suballocations2nd.end()) + { + return const_cast(*it); + } + } + + VMA_ASSERT(0 && "Allocation not found in linear allocator!"); + return const_cast(suballocations1st.back()); // Should never occur. +} + +bool VmaBlockMetadata_Linear::ShouldCompact1st() const +{ + const size_t nullItemCount = m_1stNullItemsBeginCount + m_1stNullItemsMiddleCount; + const size_t suballocCount = AccessSuballocations1st().size(); + return suballocCount > 32 && nullItemCount * 2 >= (suballocCount - nullItemCount) * 3; +} + +void VmaBlockMetadata_Linear::CleanupAfterFree() +{ + SuballocationVectorType& suballocations1st = AccessSuballocations1st(); + SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); + + if (IsEmpty()) + { + suballocations1st.clear(); + suballocations2nd.clear(); + m_1stNullItemsBeginCount = 0; + m_1stNullItemsMiddleCount = 0; + m_2ndNullItemsCount = 0; + m_2ndVectorMode = SECOND_VECTOR_EMPTY; + } + else + { + const size_t suballoc1stCount = suballocations1st.size(); + const size_t nullItem1stCount = m_1stNullItemsBeginCount + m_1stNullItemsMiddleCount; + VMA_ASSERT(nullItem1stCount <= suballoc1stCount); + + // Find more null items at the beginning of 1st vector. + while (m_1stNullItemsBeginCount < suballoc1stCount && + suballocations1st[m_1stNullItemsBeginCount].type == VMA_SUBALLOCATION_TYPE_FREE) + { + ++m_1stNullItemsBeginCount; + --m_1stNullItemsMiddleCount; + } + + // Find more null items at the end of 1st vector. + while (m_1stNullItemsMiddleCount > 0 && + suballocations1st.back().type == VMA_SUBALLOCATION_TYPE_FREE) + { + --m_1stNullItemsMiddleCount; + suballocations1st.pop_back(); + } + + // Find more null items at the end of 2nd vector. + while (m_2ndNullItemsCount > 0 && + suballocations2nd.back().type == VMA_SUBALLOCATION_TYPE_FREE) + { + --m_2ndNullItemsCount; + suballocations2nd.pop_back(); + } + + // Find more null items at the beginning of 2nd vector. + while (m_2ndNullItemsCount > 0 && + suballocations2nd[0].type == VMA_SUBALLOCATION_TYPE_FREE) + { + --m_2ndNullItemsCount; + VmaVectorRemove(suballocations2nd, 0); + } + + if (ShouldCompact1st()) + { + const size_t nonNullItemCount = suballoc1stCount - nullItem1stCount; + size_t srcIndex = m_1stNullItemsBeginCount; + for (size_t dstIndex = 0; dstIndex < nonNullItemCount; ++dstIndex) + { + while (suballocations1st[srcIndex].type == VMA_SUBALLOCATION_TYPE_FREE) + { + ++srcIndex; + } + if (dstIndex != srcIndex) + { + suballocations1st[dstIndex] = suballocations1st[srcIndex]; + } + ++srcIndex; + } + suballocations1st.resize(nonNullItemCount); + m_1stNullItemsBeginCount = 0; + m_1stNullItemsMiddleCount = 0; + } + + // 2nd vector became empty. + if (suballocations2nd.empty()) + { + m_2ndVectorMode = SECOND_VECTOR_EMPTY; + } + + // 1st vector became empty. + if (suballocations1st.size() - m_1stNullItemsBeginCount == 0) + { + suballocations1st.clear(); + m_1stNullItemsBeginCount = 0; + + if (!suballocations2nd.empty() && m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) + { + // Swap 1st with 2nd. Now 2nd is empty. + m_2ndVectorMode = SECOND_VECTOR_EMPTY; + m_1stNullItemsMiddleCount = m_2ndNullItemsCount; + while (m_1stNullItemsBeginCount < suballocations2nd.size() && + suballocations2nd[m_1stNullItemsBeginCount].type == VMA_SUBALLOCATION_TYPE_FREE) + { + ++m_1stNullItemsBeginCount; + --m_1stNullItemsMiddleCount; + } + m_2ndNullItemsCount = 0; + m_1stVectorIndex ^= 1; + } + } + } + + VMA_HEAVY_ASSERT(Validate()); +} + +bool VmaBlockMetadata_Linear::CreateAllocationRequest_LowerAddress( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + VmaSuballocationType allocType, + uint32_t strategy, + VmaAllocationRequest* pAllocationRequest) +{ + const VkDeviceSize blockSize = GetSize(); + const VkDeviceSize debugMargin = GetDebugMargin(); + const VkDeviceSize bufferImageGranularity = GetBufferImageGranularity(); + SuballocationVectorType& suballocations1st = AccessSuballocations1st(); + SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); + + if (m_2ndVectorMode == SECOND_VECTOR_EMPTY || m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) + { + // Try to allocate at the end of 1st vector. + + VkDeviceSize resultBaseOffset = 0; + if (!suballocations1st.empty()) + { + const VmaSuballocation& lastSuballoc = suballocations1st.back(); + resultBaseOffset = lastSuballoc.offset + lastSuballoc.size + debugMargin; + } + + // Start from offset equal to beginning of free space. + VkDeviceSize resultOffset = resultBaseOffset; + + // Apply alignment. + resultOffset = VmaAlignUp(resultOffset, allocAlignment); + + // Check previous suballocations for BufferImageGranularity conflicts. + // Make bigger alignment if necessary. + if (bufferImageGranularity > 1 && bufferImageGranularity != allocAlignment && !suballocations1st.empty()) + { + bool bufferImageGranularityConflict = false; + for (size_t prevSuballocIndex = suballocations1st.size(); prevSuballocIndex--; ) + { + const VmaSuballocation& prevSuballoc = suballocations1st[prevSuballocIndex]; + if (VmaBlocksOnSamePage(prevSuballoc.offset, prevSuballoc.size, resultOffset, bufferImageGranularity)) + { + if (VmaIsBufferImageGranularityConflict(prevSuballoc.type, allocType)) + { + bufferImageGranularityConflict = true; + break; + } + } + else + // Already on previous page. + break; + } + if (bufferImageGranularityConflict) + { + resultOffset = VmaAlignUp(resultOffset, bufferImageGranularity); + } + } + + const VkDeviceSize freeSpaceEnd = m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK ? + suballocations2nd.back().offset : blockSize; + + // There is enough free space at the end after alignment. + if (resultOffset + allocSize + debugMargin <= freeSpaceEnd) + { + // Check next suballocations for BufferImageGranularity conflicts. + // If conflict exists, allocation cannot be made here. + if ((allocSize % bufferImageGranularity || resultOffset % bufferImageGranularity) && m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) + { + for (size_t nextSuballocIndex = suballocations2nd.size(); nextSuballocIndex--; ) + { + const VmaSuballocation& nextSuballoc = suballocations2nd[nextSuballocIndex]; + if (VmaBlocksOnSamePage(resultOffset, allocSize, nextSuballoc.offset, bufferImageGranularity)) + { + if (VmaIsBufferImageGranularityConflict(allocType, nextSuballoc.type)) + { + return false; + } + } + else + { + // Already on previous page. + break; + } + } + } + + // All tests passed: Success. + pAllocationRequest->allocHandle = (VmaAllocHandle)(resultOffset + 1); + // pAllocationRequest->item, customData unused. + pAllocationRequest->type = VmaAllocationRequestType::EndOf1st; + return true; + } + } + + // Wrap-around to end of 2nd vector. Try to allocate there, watching for the + // beginning of 1st vector as the end of free space. + if (m_2ndVectorMode == SECOND_VECTOR_EMPTY || m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) + { + VMA_ASSERT(!suballocations1st.empty()); + + VkDeviceSize resultBaseOffset = 0; + if (!suballocations2nd.empty()) + { + const VmaSuballocation& lastSuballoc = suballocations2nd.back(); + resultBaseOffset = lastSuballoc.offset + lastSuballoc.size + debugMargin; + } + + // Start from offset equal to beginning of free space. + VkDeviceSize resultOffset = resultBaseOffset; + + // Apply alignment. + resultOffset = VmaAlignUp(resultOffset, allocAlignment); + + // Check previous suballocations for BufferImageGranularity conflicts. + // Make bigger alignment if necessary. + if (bufferImageGranularity > 1 && bufferImageGranularity != allocAlignment && !suballocations2nd.empty()) + { + bool bufferImageGranularityConflict = false; + for (size_t prevSuballocIndex = suballocations2nd.size(); prevSuballocIndex--; ) + { + const VmaSuballocation& prevSuballoc = suballocations2nd[prevSuballocIndex]; + if (VmaBlocksOnSamePage(prevSuballoc.offset, prevSuballoc.size, resultOffset, bufferImageGranularity)) + { + if (VmaIsBufferImageGranularityConflict(prevSuballoc.type, allocType)) + { + bufferImageGranularityConflict = true; + break; + } + } + else + // Already on previous page. + break; + } + if (bufferImageGranularityConflict) + { + resultOffset = VmaAlignUp(resultOffset, bufferImageGranularity); + } + } + + size_t index1st = m_1stNullItemsBeginCount; + + // There is enough free space at the end after alignment. + if ((index1st == suballocations1st.size() && resultOffset + allocSize + debugMargin <= blockSize) || + (index1st < suballocations1st.size() && resultOffset + allocSize + debugMargin <= suballocations1st[index1st].offset)) + { + // Check next suballocations for BufferImageGranularity conflicts. + // If conflict exists, allocation cannot be made here. + if (allocSize % bufferImageGranularity || resultOffset % bufferImageGranularity) + { + for (size_t nextSuballocIndex = index1st; + nextSuballocIndex < suballocations1st.size(); + nextSuballocIndex++) + { + const VmaSuballocation& nextSuballoc = suballocations1st[nextSuballocIndex]; + if (VmaBlocksOnSamePage(resultOffset, allocSize, nextSuballoc.offset, bufferImageGranularity)) + { + if (VmaIsBufferImageGranularityConflict(allocType, nextSuballoc.type)) + { + return false; + } + } + else + { + // Already on next page. + break; + } + } + } + + // All tests passed: Success. + pAllocationRequest->allocHandle = (VmaAllocHandle)(resultOffset + 1); + pAllocationRequest->type = VmaAllocationRequestType::EndOf2nd; + // pAllocationRequest->item, customData unused. + return true; + } + } + + return false; +} + +bool VmaBlockMetadata_Linear::CreateAllocationRequest_UpperAddress( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + VmaSuballocationType allocType, + uint32_t strategy, + VmaAllocationRequest* pAllocationRequest) +{ + const VkDeviceSize blockSize = GetSize(); + const VkDeviceSize bufferImageGranularity = GetBufferImageGranularity(); + SuballocationVectorType& suballocations1st = AccessSuballocations1st(); + SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); + + if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) + { + VMA_ASSERT(0 && "Trying to use pool with linear algorithm as double stack, while it is already being used as ring buffer."); + return false; + } + + // Try to allocate before 2nd.back(), or end of block if 2nd.empty(). + if (allocSize > blockSize) + { + return false; + } + VkDeviceSize resultBaseOffset = blockSize - allocSize; + if (!suballocations2nd.empty()) + { + const VmaSuballocation& lastSuballoc = suballocations2nd.back(); + resultBaseOffset = lastSuballoc.offset - allocSize; + if (allocSize > lastSuballoc.offset) + { + return false; + } + } + + // Start from offset equal to end of free space. + VkDeviceSize resultOffset = resultBaseOffset; + + const VkDeviceSize debugMargin = GetDebugMargin(); + + // Apply debugMargin at the end. + if (debugMargin > 0) + { + if (resultOffset < debugMargin) + { + return false; + } + resultOffset -= debugMargin; + } + + // Apply alignment. + resultOffset = VmaAlignDown(resultOffset, allocAlignment); + + // Check next suballocations from 2nd for BufferImageGranularity conflicts. + // Make bigger alignment if necessary. + if (bufferImageGranularity > 1 && bufferImageGranularity != allocAlignment && !suballocations2nd.empty()) + { + bool bufferImageGranularityConflict = false; + for (size_t nextSuballocIndex = suballocations2nd.size(); nextSuballocIndex--; ) + { + const VmaSuballocation& nextSuballoc = suballocations2nd[nextSuballocIndex]; + if (VmaBlocksOnSamePage(resultOffset, allocSize, nextSuballoc.offset, bufferImageGranularity)) + { + if (VmaIsBufferImageGranularityConflict(nextSuballoc.type, allocType)) + { + bufferImageGranularityConflict = true; + break; + } + } + else + // Already on previous page. + break; + } + if (bufferImageGranularityConflict) + { + resultOffset = VmaAlignDown(resultOffset, bufferImageGranularity); + } + } + + // There is enough free space. + const VkDeviceSize endOf1st = !suballocations1st.empty() ? + suballocations1st.back().offset + suballocations1st.back().size : + 0; + if (endOf1st + debugMargin <= resultOffset) + { + // Check previous suballocations for BufferImageGranularity conflicts. + // If conflict exists, allocation cannot be made here. + if (bufferImageGranularity > 1) + { + for (size_t prevSuballocIndex = suballocations1st.size(); prevSuballocIndex--; ) + { + const VmaSuballocation& prevSuballoc = suballocations1st[prevSuballocIndex]; + if (VmaBlocksOnSamePage(prevSuballoc.offset, prevSuballoc.size, resultOffset, bufferImageGranularity)) + { + if (VmaIsBufferImageGranularityConflict(allocType, prevSuballoc.type)) + { + return false; + } + } + else + { + // Already on next page. + break; + } + } + } + + // All tests passed: Success. + pAllocationRequest->allocHandle = (VmaAllocHandle)(resultOffset + 1); + // pAllocationRequest->item unused. + pAllocationRequest->type = VmaAllocationRequestType::UpperAddress; + return true; + } + + return false; +} +#endif // _VMA_BLOCK_METADATA_LINEAR_FUNCTIONS +#endif // _VMA_BLOCK_METADATA_LINEAR + +#if 0 +#ifndef _VMA_BLOCK_METADATA_BUDDY +/* +- GetSize() is the original size of allocated memory block. +- m_UsableSize is this size aligned down to a power of two. + All allocations and calculations happen relative to m_UsableSize. +- GetUnusableSize() is the difference between them. + It is reported as separate, unused range, not available for allocations. + +Node at level 0 has size = m_UsableSize. +Each next level contains nodes with size 2 times smaller than current level. +m_LevelCount is the maximum number of levels to use in the current object. +*/ +class VmaBlockMetadata_Buddy : public VmaBlockMetadata +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaBlockMetadata_Buddy) +public: + VmaBlockMetadata_Buddy(const VkAllocationCallbacks* pAllocationCallbacks, + VkDeviceSize bufferImageGranularity, bool isVirtual); + virtual ~VmaBlockMetadata_Buddy(); + + size_t GetAllocationCount() const override { return m_AllocationCount; } + VkDeviceSize GetSumFreeSize() const override { return m_SumFreeSize + GetUnusableSize(); } + bool IsEmpty() const override { return m_Root->type == Node::TYPE_FREE; } + VkResult CheckCorruption(const void* pBlockData) override { return VK_ERROR_FEATURE_NOT_PRESENT; } + VkDeviceSize GetAllocationOffset(VmaAllocHandle allocHandle) const override { return (VkDeviceSize)allocHandle - 1; } + void DebugLogAllAllocations() const override { DebugLogAllAllocationNode(m_Root, 0); } + + void Init(VkDeviceSize size) override; + bool Validate() const override; + + void AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const override; + void AddStatistics(VmaStatistics& inoutStats) const override; + +#if VMA_STATS_STRING_ENABLED + void PrintDetailedMap(class VmaJsonWriter& json, uint32_t mapRefCount) const override; +#endif + + bool CreateAllocationRequest( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + bool upperAddress, + VmaSuballocationType allocType, + uint32_t strategy, + VmaAllocationRequest* pAllocationRequest) override; + + void Alloc( + const VmaAllocationRequest& request, + VmaSuballocationType type, + void* userData) override; + + void Free(VmaAllocHandle allocHandle) override; + void GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) override; + void* GetAllocationUserData(VmaAllocHandle allocHandle) const override; + VmaAllocHandle GetAllocationListBegin() const override; + VmaAllocHandle GetNextAllocation(VmaAllocHandle prevAlloc) const override; + void Clear() override; + void SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) override; + +private: + static const size_t MAX_LEVELS = 48; + + struct ValidationContext + { + size_t calculatedAllocationCount = 0; + size_t calculatedFreeCount = 0; + VkDeviceSize calculatedSumFreeSize = 0; + }; + struct Node + { + VkDeviceSize offset; + enum TYPE + { + TYPE_FREE, + TYPE_ALLOCATION, + TYPE_SPLIT, + TYPE_COUNT + } type; + Node* parent; + Node* buddy; + + union + { + struct + { + Node* prev; + Node* next; + } free; + struct + { + void* userData; + } allocation; + struct + { + Node* leftChild; + } split; + }; + }; + + // Size of the memory block aligned down to a power of two. + VkDeviceSize m_UsableSize; + uint32_t m_LevelCount; + VmaPoolAllocator m_NodeAllocator; + Node* m_Root; + struct + { + Node* front; + Node* back; + } m_FreeList[MAX_LEVELS]; + + // Number of nodes in the tree with type == TYPE_ALLOCATION. + size_t m_AllocationCount; + // Number of nodes in the tree with type == TYPE_FREE. + size_t m_FreeCount; + // Doesn't include space wasted due to internal fragmentation - allocation sizes are just aligned up to node sizes. + // Doesn't include unusable size. + VkDeviceSize m_SumFreeSize; + + VkDeviceSize GetUnusableSize() const { return GetSize() - m_UsableSize; } + VkDeviceSize LevelToNodeSize(uint32_t level) const { return m_UsableSize >> level; } + + VkDeviceSize AlignAllocationSize(VkDeviceSize size) const + { + if (!IsVirtual()) + { + size = VmaAlignUp(size, (VkDeviceSize)16); + } + return VmaNextPow2(size); + } + Node* FindAllocationNode(VkDeviceSize offset, uint32_t& outLevel) const; + void DeleteNodeChildren(Node* node); + bool ValidateNode(ValidationContext& ctx, const Node* parent, const Node* curr, uint32_t level, VkDeviceSize levelNodeSize) const; + uint32_t AllocSizeToLevel(VkDeviceSize allocSize) const; + void AddNodeToDetailedStatistics(VmaDetailedStatistics& inoutStats, const Node* node, VkDeviceSize levelNodeSize) const; + // Adds node to the front of FreeList at given level. + // node->type must be FREE. + // node->free.prev, next can be undefined. + void AddToFreeListFront(uint32_t level, Node* node); + // Removes node from FreeList at given level. + // node->type must be FREE. + // node->free.prev, next stay untouched. + void RemoveFromFreeList(uint32_t level, Node* node); + void DebugLogAllAllocationNode(Node* node, uint32_t level) const; + +#if VMA_STATS_STRING_ENABLED + void PrintDetailedMapNode(class VmaJsonWriter& json, const Node* node, VkDeviceSize levelNodeSize) const; +#endif +}; + +#ifndef _VMA_BLOCK_METADATA_BUDDY_FUNCTIONS +VmaBlockMetadata_Buddy::VmaBlockMetadata_Buddy(const VkAllocationCallbacks* pAllocationCallbacks, + VkDeviceSize bufferImageGranularity, bool isVirtual) + : VmaBlockMetadata(pAllocationCallbacks, bufferImageGranularity, isVirtual), + m_NodeAllocator(pAllocationCallbacks, 32), // firstBlockCapacity + m_Root(VMA_NULL), + m_AllocationCount(0), + m_FreeCount(1), + m_SumFreeSize(0) +{ + memset(m_FreeList, 0, sizeof(m_FreeList)); +} + +VmaBlockMetadata_Buddy::~VmaBlockMetadata_Buddy() +{ + DeleteNodeChildren(m_Root); + m_NodeAllocator.Free(m_Root); +} + +void VmaBlockMetadata_Buddy::Init(VkDeviceSize size) +{ + VmaBlockMetadata::Init(size); + + m_UsableSize = VmaPrevPow2(size); + m_SumFreeSize = m_UsableSize; + + // Calculate m_LevelCount. + const VkDeviceSize minNodeSize = IsVirtual() ? 1 : 16; + m_LevelCount = 1; + while (m_LevelCount < MAX_LEVELS && + LevelToNodeSize(m_LevelCount) >= minNodeSize) + { + ++m_LevelCount; + } + + Node* rootNode = m_NodeAllocator.Alloc(); + rootNode->offset = 0; + rootNode->type = Node::TYPE_FREE; + rootNode->parent = VMA_NULL; + rootNode->buddy = VMA_NULL; + + m_Root = rootNode; + AddToFreeListFront(0, rootNode); +} + +bool VmaBlockMetadata_Buddy::Validate() const +{ + // Validate tree. + ValidationContext ctx; + if (!ValidateNode(ctx, VMA_NULL, m_Root, 0, LevelToNodeSize(0))) + { + VMA_VALIDATE(false && "ValidateNode failed."); + } + VMA_VALIDATE(m_AllocationCount == ctx.calculatedAllocationCount); + VMA_VALIDATE(m_SumFreeSize == ctx.calculatedSumFreeSize); + + // Validate free node lists. + for (uint32_t level = 0; level < m_LevelCount; ++level) + { + VMA_VALIDATE(m_FreeList[level].front == VMA_NULL || + m_FreeList[level].front->free.prev == VMA_NULL); + + for (Node* node = m_FreeList[level].front; + node != VMA_NULL; + node = node->free.next) + { + VMA_VALIDATE(node->type == Node::TYPE_FREE); + + if (node->free.next == VMA_NULL) + { + VMA_VALIDATE(m_FreeList[level].back == node); + } + else + { + VMA_VALIDATE(node->free.next->free.prev == node); + } + } + } + + // Validate that free lists ar higher levels are empty. + for (uint32_t level = m_LevelCount; level < MAX_LEVELS; ++level) + { + VMA_VALIDATE(m_FreeList[level].front == VMA_NULL && m_FreeList[level].back == VMA_NULL); + } + + return true; +} + +void VmaBlockMetadata_Buddy::AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const +{ + inoutStats.statistics.blockCount++; + inoutStats.statistics.blockBytes += GetSize(); + + AddNodeToDetailedStatistics(inoutStats, m_Root, LevelToNodeSize(0)); + + const VkDeviceSize unusableSize = GetUnusableSize(); + if (unusableSize > 0) + VmaAddDetailedStatisticsUnusedRange(inoutStats, unusableSize); +} + +void VmaBlockMetadata_Buddy::AddStatistics(VmaStatistics& inoutStats) const +{ + inoutStats.blockCount++; + inoutStats.allocationCount += (uint32_t)m_AllocationCount; + inoutStats.blockBytes += GetSize(); + inoutStats.allocationBytes += GetSize() - m_SumFreeSize; +} + +#if VMA_STATS_STRING_ENABLED +void VmaBlockMetadata_Buddy::PrintDetailedMap(class VmaJsonWriter& json, uint32_t mapRefCount) const +{ + VmaDetailedStatistics stats; + VmaClearDetailedStatistics(stats); + AddDetailedStatistics(stats); + + PrintDetailedMap_Begin( + json, + stats.statistics.blockBytes - stats.statistics.allocationBytes, + stats.statistics.allocationCount, + stats.unusedRangeCount, + mapRefCount); + + PrintDetailedMapNode(json, m_Root, LevelToNodeSize(0)); + + const VkDeviceSize unusableSize = GetUnusableSize(); + if (unusableSize > 0) + { + PrintDetailedMap_UnusedRange(json, + m_UsableSize, // offset + unusableSize); // size + } + + PrintDetailedMap_End(json); +} +#endif // VMA_STATS_STRING_ENABLED + +bool VmaBlockMetadata_Buddy::CreateAllocationRequest( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + bool upperAddress, + VmaSuballocationType allocType, + uint32_t strategy, + VmaAllocationRequest* pAllocationRequest) +{ + VMA_ASSERT(!upperAddress && "VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT can be used only with linear algorithm."); + + allocSize = AlignAllocationSize(allocSize); + + // Simple way to respect bufferImageGranularity. May be optimized some day. + // Whenever it might be an OPTIMAL image... + if (allocType == VMA_SUBALLOCATION_TYPE_UNKNOWN || + allocType == VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN || + allocType == VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL) + { + allocAlignment = VMA_MAX(allocAlignment, GetBufferImageGranularity()); + allocSize = VmaAlignUp(allocSize, GetBufferImageGranularity()); + } + + if (allocSize > m_UsableSize) + { + return false; + } + + const uint32_t targetLevel = AllocSizeToLevel(allocSize); + for (uint32_t level = targetLevel; level--; ) + { + for (Node* freeNode = m_FreeList[level].front; + freeNode != VMA_NULL; + freeNode = freeNode->free.next) + { + if (freeNode->offset % allocAlignment == 0) + { + pAllocationRequest->type = VmaAllocationRequestType::Normal; + pAllocationRequest->allocHandle = (VmaAllocHandle)(freeNode->offset + 1); + pAllocationRequest->size = allocSize; + pAllocationRequest->customData = (void*)(uintptr_t)level; + return true; + } + } + } + + return false; +} + +void VmaBlockMetadata_Buddy::Alloc( + const VmaAllocationRequest& request, + VmaSuballocationType type, + void* userData) +{ + VMA_ASSERT(request.type == VmaAllocationRequestType::Normal); + + const uint32_t targetLevel = AllocSizeToLevel(request.size); + uint32_t currLevel = (uint32_t)(uintptr_t)request.customData; + + Node* currNode = m_FreeList[currLevel].front; + VMA_ASSERT(currNode != VMA_NULL && currNode->type == Node::TYPE_FREE); + const VkDeviceSize offset = (VkDeviceSize)request.allocHandle - 1; + while (currNode->offset != offset) + { + currNode = currNode->free.next; + VMA_ASSERT(currNode != VMA_NULL && currNode->type == Node::TYPE_FREE); + } + + // Go down, splitting free nodes. + while (currLevel < targetLevel) + { + // currNode is already first free node at currLevel. + // Remove it from list of free nodes at this currLevel. + RemoveFromFreeList(currLevel, currNode); + + const uint32_t childrenLevel = currLevel + 1; + + // Create two free sub-nodes. + Node* leftChild = m_NodeAllocator.Alloc(); + Node* rightChild = m_NodeAllocator.Alloc(); + + leftChild->offset = currNode->offset; + leftChild->type = Node::TYPE_FREE; + leftChild->parent = currNode; + leftChild->buddy = rightChild; + + rightChild->offset = currNode->offset + LevelToNodeSize(childrenLevel); + rightChild->type = Node::TYPE_FREE; + rightChild->parent = currNode; + rightChild->buddy = leftChild; + + // Convert current currNode to split type. + currNode->type = Node::TYPE_SPLIT; + currNode->split.leftChild = leftChild; + + // Add child nodes to free list. Order is important! + AddToFreeListFront(childrenLevel, rightChild); + AddToFreeListFront(childrenLevel, leftChild); + + ++m_FreeCount; + ++currLevel; + currNode = m_FreeList[currLevel].front; + + /* + We can be sure that currNode, as left child of node previously split, + also fulfills the alignment requirement. + */ + } + + // Remove from free list. + VMA_ASSERT(currLevel == targetLevel && + currNode != VMA_NULL && + currNode->type == Node::TYPE_FREE); + RemoveFromFreeList(currLevel, currNode); + + // Convert to allocation node. + currNode->type = Node::TYPE_ALLOCATION; + currNode->allocation.userData = userData; + + ++m_AllocationCount; + --m_FreeCount; + m_SumFreeSize -= request.size; +} + +void VmaBlockMetadata_Buddy::GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) +{ + uint32_t level = 0; + outInfo.offset = (VkDeviceSize)allocHandle - 1; + const Node* const node = FindAllocationNode(outInfo.offset, level); + outInfo.size = LevelToNodeSize(level); + outInfo.pUserData = node->allocation.userData; +} + +void* VmaBlockMetadata_Buddy::GetAllocationUserData(VmaAllocHandle allocHandle) const +{ + uint32_t level = 0; + const Node* const node = FindAllocationNode((VkDeviceSize)allocHandle - 1, level); + return node->allocation.userData; +} + +VmaAllocHandle VmaBlockMetadata_Buddy::GetAllocationListBegin() const +{ + // Function only used for defragmentation, which is disabled for this algorithm + return VK_NULL_HANDLE; +} + +VmaAllocHandle VmaBlockMetadata_Buddy::GetNextAllocation(VmaAllocHandle prevAlloc) const +{ + // Function only used for defragmentation, which is disabled for this algorithm + return VK_NULL_HANDLE; +} + +void VmaBlockMetadata_Buddy::DeleteNodeChildren(Node* node) +{ + if (node->type == Node::TYPE_SPLIT) + { + DeleteNodeChildren(node->split.leftChild->buddy); + DeleteNodeChildren(node->split.leftChild); + const VkAllocationCallbacks* allocationCallbacks = GetAllocationCallbacks(); + m_NodeAllocator.Free(node->split.leftChild->buddy); + m_NodeAllocator.Free(node->split.leftChild); + } +} + +void VmaBlockMetadata_Buddy::Clear() +{ + DeleteNodeChildren(m_Root); + m_Root->type = Node::TYPE_FREE; + m_AllocationCount = 0; + m_FreeCount = 1; + m_SumFreeSize = m_UsableSize; +} + +void VmaBlockMetadata_Buddy::SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) +{ + uint32_t level = 0; + Node* const node = FindAllocationNode((VkDeviceSize)allocHandle - 1, level); + node->allocation.userData = userData; +} + +VmaBlockMetadata_Buddy::Node* VmaBlockMetadata_Buddy::FindAllocationNode(VkDeviceSize offset, uint32_t& outLevel) const +{ + Node* node = m_Root; + VkDeviceSize nodeOffset = 0; + outLevel = 0; + VkDeviceSize levelNodeSize = LevelToNodeSize(0); + while (node->type == Node::TYPE_SPLIT) + { + const VkDeviceSize nextLevelNodeSize = levelNodeSize >> 1; + if (offset < nodeOffset + nextLevelNodeSize) + { + node = node->split.leftChild; + } + else + { + node = node->split.leftChild->buddy; + nodeOffset += nextLevelNodeSize; + } + ++outLevel; + levelNodeSize = nextLevelNodeSize; + } + + VMA_ASSERT(node != VMA_NULL && node->type == Node::TYPE_ALLOCATION); + return node; +} + +bool VmaBlockMetadata_Buddy::ValidateNode(ValidationContext& ctx, const Node* parent, const Node* curr, uint32_t level, VkDeviceSize levelNodeSize) const +{ + VMA_VALIDATE(level < m_LevelCount); + VMA_VALIDATE(curr->parent == parent); + VMA_VALIDATE((curr->buddy == VMA_NULL) == (parent == VMA_NULL)); + VMA_VALIDATE(curr->buddy == VMA_NULL || curr->buddy->buddy == curr); + switch (curr->type) + { + case Node::TYPE_FREE: + // curr->free.prev, next are validated separately. + ctx.calculatedSumFreeSize += levelNodeSize; + ++ctx.calculatedFreeCount; + break; + case Node::TYPE_ALLOCATION: + ++ctx.calculatedAllocationCount; + if (!IsVirtual()) + { + VMA_VALIDATE(curr->allocation.userData != VMA_NULL); + } + break; + case Node::TYPE_SPLIT: + { + const uint32_t childrenLevel = level + 1; + const VkDeviceSize childrenLevelNodeSize = levelNodeSize >> 1; + const Node* const leftChild = curr->split.leftChild; + VMA_VALIDATE(leftChild != VMA_NULL); + VMA_VALIDATE(leftChild->offset == curr->offset); + if (!ValidateNode(ctx, curr, leftChild, childrenLevel, childrenLevelNodeSize)) + { + VMA_VALIDATE(false && "ValidateNode for left child failed."); + } + const Node* const rightChild = leftChild->buddy; + VMA_VALIDATE(rightChild->offset == curr->offset + childrenLevelNodeSize); + if (!ValidateNode(ctx, curr, rightChild, childrenLevel, childrenLevelNodeSize)) + { + VMA_VALIDATE(false && "ValidateNode for right child failed."); + } + } + break; + default: + return false; + } + + return true; +} + +uint32_t VmaBlockMetadata_Buddy::AllocSizeToLevel(VkDeviceSize allocSize) const +{ + // I know this could be optimized somehow e.g. by using std::log2p1 from C++20. + uint32_t level = 0; + VkDeviceSize currLevelNodeSize = m_UsableSize; + VkDeviceSize nextLevelNodeSize = currLevelNodeSize >> 1; + while (allocSize <= nextLevelNodeSize && level + 1 < m_LevelCount) + { + ++level; + currLevelNodeSize >>= 1; + nextLevelNodeSize >>= 1; + } + return level; +} + +void VmaBlockMetadata_Buddy::Free(VmaAllocHandle allocHandle) +{ + uint32_t level = 0; + Node* node = FindAllocationNode((VkDeviceSize)allocHandle - 1, level); + + ++m_FreeCount; + --m_AllocationCount; + m_SumFreeSize += LevelToNodeSize(level); + + node->type = Node::TYPE_FREE; + + // Join free nodes if possible. + while (level > 0 && node->buddy->type == Node::TYPE_FREE) + { + RemoveFromFreeList(level, node->buddy); + Node* const parent = node->parent; + + m_NodeAllocator.Free(node->buddy); + m_NodeAllocator.Free(node); + parent->type = Node::TYPE_FREE; + + node = parent; + --level; + --m_FreeCount; + } + + AddToFreeListFront(level, node); +} + +void VmaBlockMetadata_Buddy::AddNodeToDetailedStatistics(VmaDetailedStatistics& inoutStats, const Node* node, VkDeviceSize levelNodeSize) const +{ + switch (node->type) + { + case Node::TYPE_FREE: + VmaAddDetailedStatisticsUnusedRange(inoutStats, levelNodeSize); + break; + case Node::TYPE_ALLOCATION: + VmaAddDetailedStatisticsAllocation(inoutStats, levelNodeSize); + break; + case Node::TYPE_SPLIT: + { + const VkDeviceSize childrenNodeSize = levelNodeSize / 2; + const Node* const leftChild = node->split.leftChild; + AddNodeToDetailedStatistics(inoutStats, leftChild, childrenNodeSize); + const Node* const rightChild = leftChild->buddy; + AddNodeToDetailedStatistics(inoutStats, rightChild, childrenNodeSize); + } + break; + default: + VMA_ASSERT(0); + } +} + +void VmaBlockMetadata_Buddy::AddToFreeListFront(uint32_t level, Node* node) +{ + VMA_ASSERT(node->type == Node::TYPE_FREE); + + // List is empty. + Node* const frontNode = m_FreeList[level].front; + if (frontNode == VMA_NULL) + { + VMA_ASSERT(m_FreeList[level].back == VMA_NULL); + node->free.prev = node->free.next = VMA_NULL; + m_FreeList[level].front = m_FreeList[level].back = node; + } + else + { + VMA_ASSERT(frontNode->free.prev == VMA_NULL); + node->free.prev = VMA_NULL; + node->free.next = frontNode; + frontNode->free.prev = node; + m_FreeList[level].front = node; + } +} + +void VmaBlockMetadata_Buddy::RemoveFromFreeList(uint32_t level, Node* node) +{ + VMA_ASSERT(m_FreeList[level].front != VMA_NULL); + + // It is at the front. + if (node->free.prev == VMA_NULL) + { + VMA_ASSERT(m_FreeList[level].front == node); + m_FreeList[level].front = node->free.next; + } + else + { + Node* const prevFreeNode = node->free.prev; + VMA_ASSERT(prevFreeNode->free.next == node); + prevFreeNode->free.next = node->free.next; + } + + // It is at the back. + if (node->free.next == VMA_NULL) + { + VMA_ASSERT(m_FreeList[level].back == node); + m_FreeList[level].back = node->free.prev; + } + else + { + Node* const nextFreeNode = node->free.next; + VMA_ASSERT(nextFreeNode->free.prev == node); + nextFreeNode->free.prev = node->free.prev; + } +} + +void VmaBlockMetadata_Buddy::DebugLogAllAllocationNode(Node* node, uint32_t level) const +{ + switch (node->type) + { + case Node::TYPE_FREE: + break; + case Node::TYPE_ALLOCATION: + DebugLogAllocation(node->offset, LevelToNodeSize(level), node->allocation.userData); + break; + case Node::TYPE_SPLIT: + { + ++level; + DebugLogAllAllocationNode(node->split.leftChild, level); + DebugLogAllAllocationNode(node->split.leftChild->buddy, level); + } + break; + default: + VMA_ASSERT(0); + } +} + +#if VMA_STATS_STRING_ENABLED +void VmaBlockMetadata_Buddy::PrintDetailedMapNode(class VmaJsonWriter& json, const Node* node, VkDeviceSize levelNodeSize) const +{ + switch (node->type) + { + case Node::TYPE_FREE: + PrintDetailedMap_UnusedRange(json, node->offset, levelNodeSize); + break; + case Node::TYPE_ALLOCATION: + PrintDetailedMap_Allocation(json, node->offset, levelNodeSize, node->allocation.userData); + break; + case Node::TYPE_SPLIT: + { + const VkDeviceSize childrenNodeSize = levelNodeSize / 2; + const Node* const leftChild = node->split.leftChild; + PrintDetailedMapNode(json, leftChild, childrenNodeSize); + const Node* const rightChild = leftChild->buddy; + PrintDetailedMapNode(json, rightChild, childrenNodeSize); + } + break; + default: + VMA_ASSERT(0); + } +} +#endif // VMA_STATS_STRING_ENABLED +#endif // _VMA_BLOCK_METADATA_BUDDY_FUNCTIONS +#endif // _VMA_BLOCK_METADATA_BUDDY +#endif // #if 0 + +#ifndef _VMA_BLOCK_METADATA_TLSF +// To not search current larger region if first allocation won't succeed and skip to smaller range +// use with VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT as strategy in CreateAllocationRequest(). +// When fragmentation and reusal of previous blocks doesn't matter then use with +// VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT for fastest alloc time possible. +class VmaBlockMetadata_TLSF : public VmaBlockMetadata +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaBlockMetadata_TLSF) +public: + VmaBlockMetadata_TLSF(const VkAllocationCallbacks* pAllocationCallbacks, + VkDeviceSize bufferImageGranularity, bool isVirtual); + virtual ~VmaBlockMetadata_TLSF(); + + size_t GetAllocationCount() const override { return m_AllocCount; } + size_t GetFreeRegionsCount() const override { return m_BlocksFreeCount + 1; } + VkDeviceSize GetSumFreeSize() const override { return m_BlocksFreeSize + m_NullBlock->size; } + bool IsEmpty() const override { return m_NullBlock->offset == 0; } + VkDeviceSize GetAllocationOffset(VmaAllocHandle allocHandle) const override { return ((Block*)allocHandle)->offset; } + + void Init(VkDeviceSize size) override; + bool Validate() const override; + + void AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const override; + void AddStatistics(VmaStatistics& inoutStats) const override; + +#if VMA_STATS_STRING_ENABLED + void PrintDetailedMap(class VmaJsonWriter& json) const override; +#endif + + bool CreateAllocationRequest( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + bool upperAddress, + VmaSuballocationType allocType, + uint32_t strategy, + VmaAllocationRequest* pAllocationRequest) override; + + VkResult CheckCorruption(const void* pBlockData) override; + void Alloc( + const VmaAllocationRequest& request, + VmaSuballocationType type, + void* userData) override; + + void Free(VmaAllocHandle allocHandle) override; + void GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) override; + void* GetAllocationUserData(VmaAllocHandle allocHandle) const override; + VmaAllocHandle GetAllocationListBegin() const override; + VmaAllocHandle GetNextAllocation(VmaAllocHandle prevAlloc) const override; + VkDeviceSize GetNextFreeRegionSize(VmaAllocHandle alloc) const override; + void Clear() override; + void SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) override; + void DebugLogAllAllocations() const override; + +private: + // According to original paper it should be preferable 4 or 5: + // M. Masmano, I. Ripoll, A. Crespo, and J. Real "TLSF: a New Dynamic Memory Allocator for Real-Time Systems" + // http://www.gii.upv.es/tlsf/files/ecrts04_tlsf.pdf + static const uint8_t SECOND_LEVEL_INDEX = 5; + static const uint16_t SMALL_BUFFER_SIZE = 256; + static const uint32_t INITIAL_BLOCK_ALLOC_COUNT = 16; + static const uint8_t MEMORY_CLASS_SHIFT = 7; + static const uint8_t MAX_MEMORY_CLASSES = 65 - MEMORY_CLASS_SHIFT; + + class Block + { + public: + VkDeviceSize offset; + VkDeviceSize size; + Block* prevPhysical; + Block* nextPhysical; + + void MarkFree() { prevFree = VMA_NULL; } + void MarkTaken() { prevFree = this; } + bool IsFree() const { return prevFree != this; } + void*& UserData() { VMA_HEAVY_ASSERT(!IsFree()); return userData; } + Block*& PrevFree() { return prevFree; } + Block*& NextFree() { VMA_HEAVY_ASSERT(IsFree()); return nextFree; } + + private: + Block* prevFree; // Address of the same block here indicates that block is taken + union + { + Block* nextFree; + void* userData; + }; + }; + + size_t m_AllocCount; + // Total number of free blocks besides null block + size_t m_BlocksFreeCount; + // Total size of free blocks excluding null block + VkDeviceSize m_BlocksFreeSize; + uint32_t m_IsFreeBitmap; + uint8_t m_MemoryClasses; + uint32_t m_InnerIsFreeBitmap[MAX_MEMORY_CLASSES]; + uint32_t m_ListsCount; + /* + * 0: 0-3 lists for small buffers + * 1+: 0-(2^SLI-1) lists for normal buffers + */ + Block** m_FreeList; + VmaPoolAllocator m_BlockAllocator; + Block* m_NullBlock; + VmaBlockBufferImageGranularity m_GranularityHandler; + + uint8_t SizeToMemoryClass(VkDeviceSize size) const; + uint16_t SizeToSecondIndex(VkDeviceSize size, uint8_t memoryClass) const; + uint32_t GetListIndex(uint8_t memoryClass, uint16_t secondIndex) const; + uint32_t GetListIndex(VkDeviceSize size) const; + + void RemoveFreeBlock(Block* block); + void InsertFreeBlock(Block* block); + void MergeBlock(Block* block, Block* prev); + + Block* FindFreeBlock(VkDeviceSize size, uint32_t& listIndex) const; + bool CheckBlock( + Block& block, + uint32_t listIndex, + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + VmaSuballocationType allocType, + VmaAllocationRequest* pAllocationRequest); +}; + +#ifndef _VMA_BLOCK_METADATA_TLSF_FUNCTIONS +VmaBlockMetadata_TLSF::VmaBlockMetadata_TLSF(const VkAllocationCallbacks* pAllocationCallbacks, + VkDeviceSize bufferImageGranularity, bool isVirtual) + : VmaBlockMetadata(pAllocationCallbacks, bufferImageGranularity, isVirtual), + m_AllocCount(0), + m_BlocksFreeCount(0), + m_BlocksFreeSize(0), + m_IsFreeBitmap(0), + m_MemoryClasses(0), + m_ListsCount(0), + m_FreeList(VMA_NULL), + m_BlockAllocator(pAllocationCallbacks, INITIAL_BLOCK_ALLOC_COUNT), + m_NullBlock(VMA_NULL), + m_GranularityHandler(bufferImageGranularity) {} + +VmaBlockMetadata_TLSF::~VmaBlockMetadata_TLSF() +{ + if (m_FreeList) + vma_delete_array(GetAllocationCallbacks(), m_FreeList, m_ListsCount); + m_GranularityHandler.Destroy(GetAllocationCallbacks()); +} + +void VmaBlockMetadata_TLSF::Init(VkDeviceSize size) +{ + VmaBlockMetadata::Init(size); + + if (!IsVirtual()) + m_GranularityHandler.Init(GetAllocationCallbacks(), size); + + m_NullBlock = m_BlockAllocator.Alloc(); + m_NullBlock->size = size; + m_NullBlock->offset = 0; + m_NullBlock->prevPhysical = VMA_NULL; + m_NullBlock->nextPhysical = VMA_NULL; + m_NullBlock->MarkFree(); + m_NullBlock->NextFree() = VMA_NULL; + m_NullBlock->PrevFree() = VMA_NULL; + uint8_t memoryClass = SizeToMemoryClass(size); + uint16_t sli = SizeToSecondIndex(size, memoryClass); + m_ListsCount = (memoryClass == 0 ? 0 : (memoryClass - 1) * (1UL << SECOND_LEVEL_INDEX) + sli) + 1; + if (IsVirtual()) + m_ListsCount += 1UL << SECOND_LEVEL_INDEX; + else + m_ListsCount += 4; + + m_MemoryClasses = memoryClass + uint8_t(2); + memset(m_InnerIsFreeBitmap, 0, MAX_MEMORY_CLASSES * sizeof(uint32_t)); + + m_FreeList = vma_new_array(GetAllocationCallbacks(), Block*, m_ListsCount); + memset(m_FreeList, 0, m_ListsCount * sizeof(Block*)); +} + +bool VmaBlockMetadata_TLSF::Validate() const +{ + VMA_VALIDATE(GetSumFreeSize() <= GetSize()); + + VkDeviceSize calculatedSize = m_NullBlock->size; + VkDeviceSize calculatedFreeSize = m_NullBlock->size; + size_t allocCount = 0; + size_t freeCount = 0; + + // Check integrity of free lists + for (uint32_t list = 0; list < m_ListsCount; ++list) + { + Block* block = m_FreeList[list]; + if (block != VMA_NULL) + { + VMA_VALIDATE(block->IsFree()); + VMA_VALIDATE(block->PrevFree() == VMA_NULL); + while (block->NextFree()) + { + VMA_VALIDATE(block->NextFree()->IsFree()); + VMA_VALIDATE(block->NextFree()->PrevFree() == block); + block = block->NextFree(); + } + } + } + + VkDeviceSize nextOffset = m_NullBlock->offset; + auto validateCtx = m_GranularityHandler.StartValidation(GetAllocationCallbacks(), IsVirtual()); + + VMA_VALIDATE(m_NullBlock->nextPhysical == VMA_NULL); + if (m_NullBlock->prevPhysical) + { + VMA_VALIDATE(m_NullBlock->prevPhysical->nextPhysical == m_NullBlock); + } + // Check all blocks + for (Block* prev = m_NullBlock->prevPhysical; prev != VMA_NULL; prev = prev->prevPhysical) + { + VMA_VALIDATE(prev->offset + prev->size == nextOffset); + nextOffset = prev->offset; + calculatedSize += prev->size; + + uint32_t listIndex = GetListIndex(prev->size); + if (prev->IsFree()) + { + ++freeCount; + // Check if free block belongs to free list + Block* freeBlock = m_FreeList[listIndex]; + VMA_VALIDATE(freeBlock != VMA_NULL); + + bool found = false; + do + { + if (freeBlock == prev) + found = true; + + freeBlock = freeBlock->NextFree(); + } while (!found && freeBlock != VMA_NULL); + + VMA_VALIDATE(found); + calculatedFreeSize += prev->size; + } + else + { + ++allocCount; + // Check if taken block is not on a free list + Block* freeBlock = m_FreeList[listIndex]; + while (freeBlock) + { + VMA_VALIDATE(freeBlock != prev); + freeBlock = freeBlock->NextFree(); + } + + if (!IsVirtual()) + { + VMA_VALIDATE(m_GranularityHandler.Validate(validateCtx, prev->offset, prev->size)); + } + } + + if (prev->prevPhysical) + { + VMA_VALIDATE(prev->prevPhysical->nextPhysical == prev); + } + } + + if (!IsVirtual()) + { + VMA_VALIDATE(m_GranularityHandler.FinishValidation(validateCtx)); + } + + VMA_VALIDATE(nextOffset == 0); + VMA_VALIDATE(calculatedSize == GetSize()); + VMA_VALIDATE(calculatedFreeSize == GetSumFreeSize()); + VMA_VALIDATE(allocCount == m_AllocCount); + VMA_VALIDATE(freeCount == m_BlocksFreeCount); + + return true; +} + +void VmaBlockMetadata_TLSF::AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const +{ + inoutStats.statistics.blockCount++; + inoutStats.statistics.blockBytes += GetSize(); + if (m_NullBlock->size > 0) + VmaAddDetailedStatisticsUnusedRange(inoutStats, m_NullBlock->size); + + for (Block* block = m_NullBlock->prevPhysical; block != VMA_NULL; block = block->prevPhysical) + { + if (block->IsFree()) + VmaAddDetailedStatisticsUnusedRange(inoutStats, block->size); + else + VmaAddDetailedStatisticsAllocation(inoutStats, block->size); + } +} + +void VmaBlockMetadata_TLSF::AddStatistics(VmaStatistics& inoutStats) const +{ + inoutStats.blockCount++; + inoutStats.allocationCount += (uint32_t)m_AllocCount; + inoutStats.blockBytes += GetSize(); + inoutStats.allocationBytes += GetSize() - GetSumFreeSize(); +} + +#if VMA_STATS_STRING_ENABLED +void VmaBlockMetadata_TLSF::PrintDetailedMap(class VmaJsonWriter& json) const +{ + size_t blockCount = m_AllocCount + m_BlocksFreeCount; + VmaStlAllocator allocator(GetAllocationCallbacks()); + VmaVector> blockList(blockCount, allocator); + + size_t i = blockCount; + for (Block* block = m_NullBlock->prevPhysical; block != VMA_NULL; block = block->prevPhysical) + { + blockList[--i] = block; + } + VMA_ASSERT(i == 0); + + VmaDetailedStatistics stats; + VmaClearDetailedStatistics(stats); + AddDetailedStatistics(stats); + + PrintDetailedMap_Begin(json, + stats.statistics.blockBytes - stats.statistics.allocationBytes, + stats.statistics.allocationCount, + stats.unusedRangeCount); + + for (; i < blockCount; ++i) + { + Block* block = blockList[i]; + if (block->IsFree()) + PrintDetailedMap_UnusedRange(json, block->offset, block->size); + else + PrintDetailedMap_Allocation(json, block->offset, block->size, block->UserData()); + } + if (m_NullBlock->size > 0) + PrintDetailedMap_UnusedRange(json, m_NullBlock->offset, m_NullBlock->size); + + PrintDetailedMap_End(json); +} +#endif + +bool VmaBlockMetadata_TLSF::CreateAllocationRequest( + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + bool upperAddress, + VmaSuballocationType allocType, + uint32_t strategy, + VmaAllocationRequest* pAllocationRequest) +{ + VMA_ASSERT(allocSize > 0 && "Cannot allocate empty block!"); + VMA_ASSERT(!upperAddress && "VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT can be used only with linear algorithm."); + + // For small granularity round up + if (!IsVirtual()) + m_GranularityHandler.RoundupAllocRequest(allocType, allocSize, allocAlignment); + + allocSize += GetDebugMargin(); + // Quick check for too small pool + if (allocSize > GetSumFreeSize()) + return false; + + // If no free blocks in pool then check only null block + if (m_BlocksFreeCount == 0) + return CheckBlock(*m_NullBlock, m_ListsCount, allocSize, allocAlignment, allocType, pAllocationRequest); + + // Round up to the next block + VkDeviceSize sizeForNextList = allocSize; + VkDeviceSize smallSizeStep = VkDeviceSize(SMALL_BUFFER_SIZE / (IsVirtual() ? 1 << SECOND_LEVEL_INDEX : 4)); + if (allocSize > SMALL_BUFFER_SIZE) + { + sizeForNextList += (1ULL << (VMA_BITSCAN_MSB(allocSize) - SECOND_LEVEL_INDEX)); + } + else if (allocSize > SMALL_BUFFER_SIZE - smallSizeStep) + sizeForNextList = SMALL_BUFFER_SIZE + 1; + else + sizeForNextList += smallSizeStep; + + uint32_t nextListIndex = 0; + uint32_t prevListIndex = 0; + Block* nextListBlock = VMA_NULL; + Block* prevListBlock = VMA_NULL; + + // Check blocks according to strategies + if (strategy & VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT) + { + // Quick check for larger block first + nextListBlock = FindFreeBlock(sizeForNextList, nextListIndex); + if (nextListBlock != VMA_NULL && CheckBlock(*nextListBlock, nextListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) + return true; + + // If not fitted then null block + if (CheckBlock(*m_NullBlock, m_ListsCount, allocSize, allocAlignment, allocType, pAllocationRequest)) + return true; + + // Null block failed, search larger bucket + while (nextListBlock) + { + if (CheckBlock(*nextListBlock, nextListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) + return true; + nextListBlock = nextListBlock->NextFree(); + } + + // Failed again, check best fit bucket + prevListBlock = FindFreeBlock(allocSize, prevListIndex); + while (prevListBlock) + { + if (CheckBlock(*prevListBlock, prevListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) + return true; + prevListBlock = prevListBlock->NextFree(); + } + } + else if (strategy & VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT) + { + // Check best fit bucket + prevListBlock = FindFreeBlock(allocSize, prevListIndex); + while (prevListBlock) + { + if (CheckBlock(*prevListBlock, prevListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) + return true; + prevListBlock = prevListBlock->NextFree(); + } + + // If failed check null block + if (CheckBlock(*m_NullBlock, m_ListsCount, allocSize, allocAlignment, allocType, pAllocationRequest)) + return true; + + // Check larger bucket + nextListBlock = FindFreeBlock(sizeForNextList, nextListIndex); + while (nextListBlock) + { + if (CheckBlock(*nextListBlock, nextListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) + return true; + nextListBlock = nextListBlock->NextFree(); + } + } + else if (strategy & VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT ) + { + // Perform search from the start + VmaStlAllocator allocator(GetAllocationCallbacks()); + VmaVector> blockList(m_BlocksFreeCount, allocator); + + size_t i = m_BlocksFreeCount; + for (Block* block = m_NullBlock->prevPhysical; block != VMA_NULL; block = block->prevPhysical) + { + if (block->IsFree() && block->size >= allocSize) + blockList[--i] = block; + } + + for (; i < m_BlocksFreeCount; ++i) + { + Block& block = *blockList[i]; + if (CheckBlock(block, GetListIndex(block.size), allocSize, allocAlignment, allocType, pAllocationRequest)) + return true; + } + + // If failed check null block + if (CheckBlock(*m_NullBlock, m_ListsCount, allocSize, allocAlignment, allocType, pAllocationRequest)) + return true; + + // Whole range searched, no more memory + return false; + } + else + { + // Check larger bucket + nextListBlock = FindFreeBlock(sizeForNextList, nextListIndex); + while (nextListBlock) + { + if (CheckBlock(*nextListBlock, nextListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) + return true; + nextListBlock = nextListBlock->NextFree(); + } + + // If failed check null block + if (CheckBlock(*m_NullBlock, m_ListsCount, allocSize, allocAlignment, allocType, pAllocationRequest)) + return true; + + // Check best fit bucket + prevListBlock = FindFreeBlock(allocSize, prevListIndex); + while (prevListBlock) + { + if (CheckBlock(*prevListBlock, prevListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) + return true; + prevListBlock = prevListBlock->NextFree(); + } + } + + // Worst case, full search has to be done + while (++nextListIndex < m_ListsCount) + { + nextListBlock = m_FreeList[nextListIndex]; + while (nextListBlock) + { + if (CheckBlock(*nextListBlock, nextListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) + return true; + nextListBlock = nextListBlock->NextFree(); + } + } + + // No more memory sadly + return false; +} + +VkResult VmaBlockMetadata_TLSF::CheckCorruption(const void* pBlockData) +{ + for (Block* block = m_NullBlock->prevPhysical; block != VMA_NULL; block = block->prevPhysical) + { + if (!block->IsFree()) + { + if (!VmaValidateMagicValue(pBlockData, block->offset + block->size)) + { + VMA_ASSERT(0 && "MEMORY CORRUPTION DETECTED AFTER VALIDATED ALLOCATION!"); + return VK_ERROR_UNKNOWN_COPY; + } + } + } + + return VK_SUCCESS; +} + +void VmaBlockMetadata_TLSF::Alloc( + const VmaAllocationRequest& request, + VmaSuballocationType type, + void* userData) +{ + VMA_ASSERT(request.type == VmaAllocationRequestType::TLSF); + + // Get block and pop it from the free list + Block* currentBlock = (Block*)request.allocHandle; + VkDeviceSize offset = request.algorithmData; + VMA_ASSERT(currentBlock != VMA_NULL); + VMA_ASSERT(currentBlock->offset <= offset); + + if (currentBlock != m_NullBlock) + RemoveFreeBlock(currentBlock); + + VkDeviceSize debugMargin = GetDebugMargin(); + VkDeviceSize misssingAlignment = offset - currentBlock->offset; + + // Append missing alignment to prev block or create new one + if (misssingAlignment) + { + Block* prevBlock = currentBlock->prevPhysical; + VMA_ASSERT(prevBlock != VMA_NULL && "There should be no missing alignment at offset 0!"); + + if (prevBlock->IsFree() && prevBlock->size != debugMargin) + { + uint32_t oldList = GetListIndex(prevBlock->size); + prevBlock->size += misssingAlignment; + // Check if new size crosses list bucket + if (oldList != GetListIndex(prevBlock->size)) + { + prevBlock->size -= misssingAlignment; + RemoveFreeBlock(prevBlock); + prevBlock->size += misssingAlignment; + InsertFreeBlock(prevBlock); + } + else + m_BlocksFreeSize += misssingAlignment; + } + else + { + Block* newBlock = m_BlockAllocator.Alloc(); + currentBlock->prevPhysical = newBlock; + prevBlock->nextPhysical = newBlock; + newBlock->prevPhysical = prevBlock; + newBlock->nextPhysical = currentBlock; + newBlock->size = misssingAlignment; + newBlock->offset = currentBlock->offset; + newBlock->MarkTaken(); + + InsertFreeBlock(newBlock); + } + + currentBlock->size -= misssingAlignment; + currentBlock->offset += misssingAlignment; + } + + VkDeviceSize size = request.size + debugMargin; + if (currentBlock->size == size) + { + if (currentBlock == m_NullBlock) + { + // Setup new null block + m_NullBlock = m_BlockAllocator.Alloc(); + m_NullBlock->size = 0; + m_NullBlock->offset = currentBlock->offset + size; + m_NullBlock->prevPhysical = currentBlock; + m_NullBlock->nextPhysical = VMA_NULL; + m_NullBlock->MarkFree(); + m_NullBlock->PrevFree() = VMA_NULL; + m_NullBlock->NextFree() = VMA_NULL; + currentBlock->nextPhysical = m_NullBlock; + currentBlock->MarkTaken(); + } + } + else + { + VMA_ASSERT(currentBlock->size > size && "Proper block already found, shouldn't find smaller one!"); + + // Create new free block + Block* newBlock = m_BlockAllocator.Alloc(); + newBlock->size = currentBlock->size - size; + newBlock->offset = currentBlock->offset + size; + newBlock->prevPhysical = currentBlock; + newBlock->nextPhysical = currentBlock->nextPhysical; + currentBlock->nextPhysical = newBlock; + currentBlock->size = size; + + if (currentBlock == m_NullBlock) + { + m_NullBlock = newBlock; + m_NullBlock->MarkFree(); + m_NullBlock->NextFree() = VMA_NULL; + m_NullBlock->PrevFree() = VMA_NULL; + currentBlock->MarkTaken(); + } + else + { + newBlock->nextPhysical->prevPhysical = newBlock; + newBlock->MarkTaken(); + InsertFreeBlock(newBlock); + } + } + currentBlock->UserData() = userData; + + if (debugMargin > 0) + { + currentBlock->size -= debugMargin; + Block* newBlock = m_BlockAllocator.Alloc(); + newBlock->size = debugMargin; + newBlock->offset = currentBlock->offset + currentBlock->size; + newBlock->prevPhysical = currentBlock; + newBlock->nextPhysical = currentBlock->nextPhysical; + newBlock->MarkTaken(); + currentBlock->nextPhysical->prevPhysical = newBlock; + currentBlock->nextPhysical = newBlock; + InsertFreeBlock(newBlock); + } + + if (!IsVirtual()) + m_GranularityHandler.AllocPages((uint8_t)(uintptr_t)request.customData, + currentBlock->offset, currentBlock->size); + ++m_AllocCount; +} + +void VmaBlockMetadata_TLSF::Free(VmaAllocHandle allocHandle) +{ + Block* block = (Block*)allocHandle; + Block* next = block->nextPhysical; + VMA_ASSERT(!block->IsFree() && "Block is already free!"); + + if (!IsVirtual()) + m_GranularityHandler.FreePages(block->offset, block->size); + --m_AllocCount; + + VkDeviceSize debugMargin = GetDebugMargin(); + if (debugMargin > 0) + { + RemoveFreeBlock(next); + MergeBlock(next, block); + block = next; + next = next->nextPhysical; + } + + // Try merging + Block* prev = block->prevPhysical; + if (prev != VMA_NULL && prev->IsFree() && prev->size != debugMargin) + { + RemoveFreeBlock(prev); + MergeBlock(block, prev); + } + + if (!next->IsFree()) + InsertFreeBlock(block); + else if (next == m_NullBlock) + MergeBlock(m_NullBlock, block); + else + { + RemoveFreeBlock(next); + MergeBlock(next, block); + InsertFreeBlock(next); + } +} + +void VmaBlockMetadata_TLSF::GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) +{ + Block* block = (Block*)allocHandle; + VMA_ASSERT(!block->IsFree() && "Cannot get allocation info for free block!"); + outInfo.offset = block->offset; + outInfo.size = block->size; + outInfo.pUserData = block->UserData(); +} + +void* VmaBlockMetadata_TLSF::GetAllocationUserData(VmaAllocHandle allocHandle) const +{ + Block* block = (Block*)allocHandle; + VMA_ASSERT(!block->IsFree() && "Cannot get user data for free block!"); + return block->UserData(); +} + +VmaAllocHandle VmaBlockMetadata_TLSF::GetAllocationListBegin() const +{ + if (m_AllocCount == 0) + return VK_NULL_HANDLE; + + for (Block* block = m_NullBlock->prevPhysical; block; block = block->prevPhysical) + { + if (!block->IsFree()) + return (VmaAllocHandle)block; + } + VMA_ASSERT(false && "If m_AllocCount > 0 then should find any allocation!"); + return VK_NULL_HANDLE; +} + +VmaAllocHandle VmaBlockMetadata_TLSF::GetNextAllocation(VmaAllocHandle prevAlloc) const +{ + Block* startBlock = (Block*)prevAlloc; + VMA_ASSERT(!startBlock->IsFree() && "Incorrect block!"); + + for (Block* block = startBlock->prevPhysical; block; block = block->prevPhysical) + { + if (!block->IsFree()) + return (VmaAllocHandle)block; + } + return VK_NULL_HANDLE; +} + +VkDeviceSize VmaBlockMetadata_TLSF::GetNextFreeRegionSize(VmaAllocHandle alloc) const +{ + Block* block = (Block*)alloc; + VMA_ASSERT(!block->IsFree() && "Incorrect block!"); + + if (block->prevPhysical) + return block->prevPhysical->IsFree() ? block->prevPhysical->size : 0; + return 0; +} + +void VmaBlockMetadata_TLSF::Clear() +{ + m_AllocCount = 0; + m_BlocksFreeCount = 0; + m_BlocksFreeSize = 0; + m_IsFreeBitmap = 0; + m_NullBlock->offset = 0; + m_NullBlock->size = GetSize(); + Block* block = m_NullBlock->prevPhysical; + m_NullBlock->prevPhysical = VMA_NULL; + while (block) + { + Block* prev = block->prevPhysical; + m_BlockAllocator.Free(block); + block = prev; + } + memset(m_FreeList, 0, m_ListsCount * sizeof(Block*)); + memset(m_InnerIsFreeBitmap, 0, m_MemoryClasses * sizeof(uint32_t)); + m_GranularityHandler.Clear(); +} + +void VmaBlockMetadata_TLSF::SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) +{ + Block* block = (Block*)allocHandle; + VMA_ASSERT(!block->IsFree() && "Trying to set user data for not allocated block!"); + block->UserData() = userData; +} + +void VmaBlockMetadata_TLSF::DebugLogAllAllocations() const +{ + for (Block* block = m_NullBlock->prevPhysical; block != VMA_NULL; block = block->prevPhysical) + if (!block->IsFree()) + DebugLogAllocation(block->offset, block->size, block->UserData()); +} + +uint8_t VmaBlockMetadata_TLSF::SizeToMemoryClass(VkDeviceSize size) const +{ + if (size > SMALL_BUFFER_SIZE) + return uint8_t(VMA_BITSCAN_MSB(size) - MEMORY_CLASS_SHIFT); + return 0; +} + +uint16_t VmaBlockMetadata_TLSF::SizeToSecondIndex(VkDeviceSize size, uint8_t memoryClass) const +{ + if (memoryClass == 0) + { + if (IsVirtual()) + return static_cast((size - 1) / 8); + else + return static_cast((size - 1) / 64); + } + return static_cast((size >> (memoryClass + MEMORY_CLASS_SHIFT - SECOND_LEVEL_INDEX)) ^ (1U << SECOND_LEVEL_INDEX)); +} + +uint32_t VmaBlockMetadata_TLSF::GetListIndex(uint8_t memoryClass, uint16_t secondIndex) const +{ + if (memoryClass == 0) + return secondIndex; + + const uint32_t index = static_cast(memoryClass - 1) * (1 << SECOND_LEVEL_INDEX) + secondIndex; + if (IsVirtual()) + return index + (1 << SECOND_LEVEL_INDEX); + else + return index + 4; +} + +uint32_t VmaBlockMetadata_TLSF::GetListIndex(VkDeviceSize size) const +{ + uint8_t memoryClass = SizeToMemoryClass(size); + return GetListIndex(memoryClass, SizeToSecondIndex(size, memoryClass)); +} + +void VmaBlockMetadata_TLSF::RemoveFreeBlock(Block* block) +{ + VMA_ASSERT(block != m_NullBlock); + VMA_ASSERT(block->IsFree()); + + if (block->NextFree() != VMA_NULL) + block->NextFree()->PrevFree() = block->PrevFree(); + if (block->PrevFree() != VMA_NULL) + block->PrevFree()->NextFree() = block->NextFree(); + else + { + uint8_t memClass = SizeToMemoryClass(block->size); + uint16_t secondIndex = SizeToSecondIndex(block->size, memClass); + uint32_t index = GetListIndex(memClass, secondIndex); + VMA_ASSERT(m_FreeList[index] == block); + m_FreeList[index] = block->NextFree(); + if (block->NextFree() == VMA_NULL) + { + m_InnerIsFreeBitmap[memClass] &= ~(1U << secondIndex); + if (m_InnerIsFreeBitmap[memClass] == 0) + m_IsFreeBitmap &= ~(1UL << memClass); + } + } + block->MarkTaken(); + block->UserData() = VMA_NULL; + --m_BlocksFreeCount; + m_BlocksFreeSize -= block->size; +} + +void VmaBlockMetadata_TLSF::InsertFreeBlock(Block* block) +{ + VMA_ASSERT(block != m_NullBlock); + VMA_ASSERT(!block->IsFree() && "Cannot insert block twice!"); + + uint8_t memClass = SizeToMemoryClass(block->size); + uint16_t secondIndex = SizeToSecondIndex(block->size, memClass); + uint32_t index = GetListIndex(memClass, secondIndex); + VMA_ASSERT(index < m_ListsCount); + block->PrevFree() = VMA_NULL; + block->NextFree() = m_FreeList[index]; + m_FreeList[index] = block; + if (block->NextFree() != VMA_NULL) + block->NextFree()->PrevFree() = block; + else + { + m_InnerIsFreeBitmap[memClass] |= 1U << secondIndex; + m_IsFreeBitmap |= 1UL << memClass; + } + ++m_BlocksFreeCount; + m_BlocksFreeSize += block->size; +} + +void VmaBlockMetadata_TLSF::MergeBlock(Block* block, Block* prev) +{ + VMA_ASSERT(block->prevPhysical == prev && "Cannot merge separate physical regions!"); + VMA_ASSERT(!prev->IsFree() && "Cannot merge block that belongs to free list!"); + + block->offset = prev->offset; + block->size += prev->size; + block->prevPhysical = prev->prevPhysical; + if (block->prevPhysical) + block->prevPhysical->nextPhysical = block; + m_BlockAllocator.Free(prev); +} + +VmaBlockMetadata_TLSF::Block* VmaBlockMetadata_TLSF::FindFreeBlock(VkDeviceSize size, uint32_t& listIndex) const +{ + uint8_t memoryClass = SizeToMemoryClass(size); + uint32_t innerFreeMap = m_InnerIsFreeBitmap[memoryClass] & (~0U << SizeToSecondIndex(size, memoryClass)); + if (!innerFreeMap) + { + // Check higher levels for available blocks + uint32_t freeMap = m_IsFreeBitmap & (~0UL << (memoryClass + 1)); + if (!freeMap) + return VMA_NULL; // No more memory available + + // Find lowest free region + memoryClass = VMA_BITSCAN_LSB(freeMap); + innerFreeMap = m_InnerIsFreeBitmap[memoryClass]; + VMA_ASSERT(innerFreeMap != 0); + } + // Find lowest free subregion + listIndex = GetListIndex(memoryClass, VMA_BITSCAN_LSB(innerFreeMap)); + VMA_ASSERT(m_FreeList[listIndex]); + return m_FreeList[listIndex]; +} + +bool VmaBlockMetadata_TLSF::CheckBlock( + Block& block, + uint32_t listIndex, + VkDeviceSize allocSize, + VkDeviceSize allocAlignment, + VmaSuballocationType allocType, + VmaAllocationRequest* pAllocationRequest) +{ + VMA_ASSERT(block.IsFree() && "Block is already taken!"); + + VkDeviceSize alignedOffset = VmaAlignUp(block.offset, allocAlignment); + if (block.size < allocSize + alignedOffset - block.offset) + return false; + + // Check for granularity conflicts + if (!IsVirtual() && + m_GranularityHandler.CheckConflictAndAlignUp(alignedOffset, allocSize, block.offset, block.size, allocType)) + return false; + + // Alloc successful + pAllocationRequest->type = VmaAllocationRequestType::TLSF; + pAllocationRequest->allocHandle = (VmaAllocHandle)█ + pAllocationRequest->size = allocSize - GetDebugMargin(); + pAllocationRequest->customData = (void*)allocType; + pAllocationRequest->algorithmData = alignedOffset; + + // Place block at the start of list if it's normal block + if (listIndex != m_ListsCount && block.PrevFree()) + { + block.PrevFree()->NextFree() = block.NextFree(); + if (block.NextFree()) + block.NextFree()->PrevFree() = block.PrevFree(); + block.PrevFree() = VMA_NULL; + block.NextFree() = m_FreeList[listIndex]; + m_FreeList[listIndex] = █ + if (block.NextFree()) + block.NextFree()->PrevFree() = █ + } + + return true; +} +#endif // _VMA_BLOCK_METADATA_TLSF_FUNCTIONS +#endif // _VMA_BLOCK_METADATA_TLSF + +#ifndef _VMA_BLOCK_VECTOR +/* +Sequence of VmaDeviceMemoryBlock. Represents memory blocks allocated for a specific +Vulkan memory type. + +Synchronized internally with a mutex. +*/ +class VmaBlockVector +{ + friend struct VmaDefragmentationContext_T; + VMA_CLASS_NO_COPY_NO_MOVE(VmaBlockVector) +public: + VmaBlockVector( + VmaAllocator hAllocator, + VmaPool hParentPool, + uint32_t memoryTypeIndex, + VkDeviceSize preferredBlockSize, + size_t minBlockCount, + size_t maxBlockCount, + VkDeviceSize bufferImageGranularity, + bool explicitBlockSize, + uint32_t algorithm, + float priority, + VkDeviceSize minAllocationAlignment, + void* pMemoryAllocateNext); + ~VmaBlockVector(); + + VmaAllocator GetAllocator() const { return m_hAllocator; } + VmaPool GetParentPool() const { return m_hParentPool; } + bool IsCustomPool() const { return m_hParentPool != VMA_NULL; } + uint32_t GetMemoryTypeIndex() const { return m_MemoryTypeIndex; } + VkDeviceSize GetPreferredBlockSize() const { return m_PreferredBlockSize; } + VkDeviceSize GetBufferImageGranularity() const { return m_BufferImageGranularity; } + uint32_t GetAlgorithm() const { return m_Algorithm; } + bool HasExplicitBlockSize() const { return m_ExplicitBlockSize; } + float GetPriority() const { return m_Priority; } + const void* GetAllocationNextPtr() const { return m_pMemoryAllocateNext; } + // To be used only while the m_Mutex is locked. Used during defragmentation. + size_t GetBlockCount() const { return m_Blocks.size(); } + // To be used only while the m_Mutex is locked. Used during defragmentation. + VmaDeviceMemoryBlock* GetBlock(size_t index) const { return m_Blocks[index]; } + VMA_RW_MUTEX &GetMutex() { return m_Mutex; } + + VkResult CreateMinBlocks(); + void AddStatistics(VmaStatistics& inoutStats); + void AddDetailedStatistics(VmaDetailedStatistics& inoutStats); + bool IsEmpty(); + bool IsCorruptionDetectionEnabled() const; + + VkResult Allocate( + VkDeviceSize size, + VkDeviceSize alignment, + const VmaAllocationCreateInfo& createInfo, + VmaSuballocationType suballocType, + size_t allocationCount, + VmaAllocation* pAllocations); + + void Free(const VmaAllocation hAllocation); + +#if VMA_STATS_STRING_ENABLED + void PrintDetailedMap(class VmaJsonWriter& json); +#endif + + VkResult CheckCorruption(); + +private: + const VmaAllocator m_hAllocator; + const VmaPool m_hParentPool; + const uint32_t m_MemoryTypeIndex; + const VkDeviceSize m_PreferredBlockSize; + const size_t m_MinBlockCount; + const size_t m_MaxBlockCount; + const VkDeviceSize m_BufferImageGranularity; + const bool m_ExplicitBlockSize; + const uint32_t m_Algorithm; + const float m_Priority; + const VkDeviceSize m_MinAllocationAlignment; + + void* const m_pMemoryAllocateNext; + VMA_RW_MUTEX m_Mutex; + // Incrementally sorted by sumFreeSize, ascending. + VmaVector> m_Blocks; + uint32_t m_NextBlockId; + bool m_IncrementalSort = true; + + void SetIncrementalSort(bool val) { m_IncrementalSort = val; } + + VkDeviceSize CalcMaxBlockSize() const; + // Finds and removes given block from vector. + void Remove(VmaDeviceMemoryBlock* pBlock); + // Performs single step in sorting m_Blocks. They may not be fully sorted + // after this call. + void IncrementallySortBlocks(); + void SortByFreeSize(); + + VkResult AllocatePage( + VkDeviceSize size, + VkDeviceSize alignment, + const VmaAllocationCreateInfo& createInfo, + VmaSuballocationType suballocType, + VmaAllocation* pAllocation); + + VkResult AllocateFromBlock( + VmaDeviceMemoryBlock* pBlock, + VkDeviceSize size, + VkDeviceSize alignment, + VmaAllocationCreateFlags allocFlags, + void* pUserData, + VmaSuballocationType suballocType, + uint32_t strategy, + VmaAllocation* pAllocation); + + VkResult CommitAllocationRequest( + VmaAllocationRequest& allocRequest, + VmaDeviceMemoryBlock* pBlock, + VkDeviceSize alignment, + VmaAllocationCreateFlags allocFlags, + void* pUserData, + VmaSuballocationType suballocType, + VmaAllocation* pAllocation); + + VkResult CreateBlock(VkDeviceSize blockSize, size_t* pNewBlockIndex); + bool HasEmptyBlock(); +}; +#endif // _VMA_BLOCK_VECTOR + +#ifndef _VMA_DEFRAGMENTATION_CONTEXT +struct VmaDefragmentationContext_T +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaDefragmentationContext_T) +public: + VmaDefragmentationContext_T( + VmaAllocator hAllocator, + const VmaDefragmentationInfo& info); + ~VmaDefragmentationContext_T(); + + void GetStats(VmaDefragmentationStats& outStats) { outStats = m_GlobalStats; } + + VkResult DefragmentPassBegin(VmaDefragmentationPassMoveInfo& moveInfo); + VkResult DefragmentPassEnd(VmaDefragmentationPassMoveInfo& moveInfo); + +private: + // Max number of allocations to ignore due to size constraints before ending single pass + static const uint8_t MAX_ALLOCS_TO_IGNORE = 16; + enum class CounterStatus { Pass, Ignore, End }; + + struct FragmentedBlock + { + uint32_t data; + VmaDeviceMemoryBlock* block; + }; + struct StateBalanced + { + VkDeviceSize avgFreeSize = 0; + VkDeviceSize avgAllocSize = UINT64_MAX; + }; + struct StateExtensive + { + enum class Operation : uint8_t + { + FindFreeBlockBuffer, FindFreeBlockTexture, FindFreeBlockAll, + MoveBuffers, MoveTextures, MoveAll, + Cleanup, Done + }; + + Operation operation = Operation::FindFreeBlockTexture; + size_t firstFreeBlock = SIZE_MAX; + }; + struct MoveAllocationData + { + VkDeviceSize size; + VkDeviceSize alignment; + VmaSuballocationType type; + VmaAllocationCreateFlags flags; + VmaDefragmentationMove move = {}; + }; + + const VkDeviceSize m_MaxPassBytes; + const uint32_t m_MaxPassAllocations; + + VmaStlAllocator m_MoveAllocator; + VmaVector> m_Moves; + + uint8_t m_IgnoredAllocs = 0; + uint32_t m_Algorithm; + uint32_t m_BlockVectorCount; + VmaBlockVector* m_PoolBlockVector; + VmaBlockVector** m_pBlockVectors; + size_t m_ImmovableBlockCount = 0; + VmaDefragmentationStats m_GlobalStats = { 0 }; + VmaDefragmentationStats m_PassStats = { 0 }; + void* m_AlgorithmState = VMA_NULL; + + static MoveAllocationData GetMoveData(VmaAllocHandle handle, VmaBlockMetadata* metadata); + CounterStatus CheckCounters(VkDeviceSize bytes); + bool IncrementCounters(VkDeviceSize bytes); + bool ReallocWithinBlock(VmaBlockVector& vector, VmaDeviceMemoryBlock* block); + bool AllocInOtherBlock(size_t start, size_t end, MoveAllocationData& data, VmaBlockVector& vector); + + bool ComputeDefragmentation(VmaBlockVector& vector, size_t index); + bool ComputeDefragmentation_Fast(VmaBlockVector& vector); + bool ComputeDefragmentation_Balanced(VmaBlockVector& vector, size_t index, bool update); + bool ComputeDefragmentation_Full(VmaBlockVector& vector); + bool ComputeDefragmentation_Extensive(VmaBlockVector& vector, size_t index); + + void UpdateVectorStatistics(VmaBlockVector& vector, StateBalanced& state); + bool MoveDataToFreeBlocks(VmaSuballocationType currentType, + VmaBlockVector& vector, size_t firstFreeBlock, + bool& texturePresent, bool& bufferPresent, bool& otherPresent); +}; +#endif // _VMA_DEFRAGMENTATION_CONTEXT + +#ifndef _VMA_POOL_T +struct VmaPool_T +{ + friend struct VmaPoolListItemTraits; + VMA_CLASS_NO_COPY_NO_MOVE(VmaPool_T) +public: + VmaBlockVector m_BlockVector; + VmaDedicatedAllocationList m_DedicatedAllocations; + + VmaPool_T( + VmaAllocator hAllocator, + const VmaPoolCreateInfo& createInfo, + VkDeviceSize preferredBlockSize); + ~VmaPool_T(); + + uint32_t GetId() const { return m_Id; } + void SetId(uint32_t id) { VMA_ASSERT(m_Id == 0); m_Id = id; } + + const char* GetName() const { return m_Name; } + void SetName(const char* pName); + +#if VMA_STATS_STRING_ENABLED + //void PrintDetailedMap(class VmaStringBuilder& sb); +#endif + +private: + uint32_t m_Id; + char* m_Name; + VmaPool_T* m_PrevPool = VMA_NULL; + VmaPool_T* m_NextPool = VMA_NULL; +}; + +struct VmaPoolListItemTraits +{ + typedef VmaPool_T ItemType; + + static ItemType* GetPrev(const ItemType* item) { return item->m_PrevPool; } + static ItemType* GetNext(const ItemType* item) { return item->m_NextPool; } + static ItemType*& AccessPrev(ItemType* item) { return item->m_PrevPool; } + static ItemType*& AccessNext(ItemType* item) { return item->m_NextPool; } +}; +#endif // _VMA_POOL_T + +#ifndef _VMA_CURRENT_BUDGET_DATA +struct VmaCurrentBudgetData +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaCurrentBudgetData) +public: + + VMA_ATOMIC_UINT32 m_BlockCount[VK_MAX_MEMORY_HEAPS]; + VMA_ATOMIC_UINT32 m_AllocationCount[VK_MAX_MEMORY_HEAPS]; + VMA_ATOMIC_UINT64 m_BlockBytes[VK_MAX_MEMORY_HEAPS]; + VMA_ATOMIC_UINT64 m_AllocationBytes[VK_MAX_MEMORY_HEAPS]; + +#if VMA_MEMORY_BUDGET + VMA_ATOMIC_UINT32 m_OperationsSinceBudgetFetch; + VMA_RW_MUTEX m_BudgetMutex; + uint64_t m_VulkanUsage[VK_MAX_MEMORY_HEAPS]; + uint64_t m_VulkanBudget[VK_MAX_MEMORY_HEAPS]; + uint64_t m_BlockBytesAtBudgetFetch[VK_MAX_MEMORY_HEAPS]; +#endif // VMA_MEMORY_BUDGET + + VmaCurrentBudgetData(); + + void AddAllocation(uint32_t heapIndex, VkDeviceSize allocationSize); + void RemoveAllocation(uint32_t heapIndex, VkDeviceSize allocationSize); +}; + +#ifndef _VMA_CURRENT_BUDGET_DATA_FUNCTIONS +VmaCurrentBudgetData::VmaCurrentBudgetData() +{ + for (uint32_t heapIndex = 0; heapIndex < VK_MAX_MEMORY_HEAPS; ++heapIndex) + { + m_BlockCount[heapIndex] = 0; + m_AllocationCount[heapIndex] = 0; + m_BlockBytes[heapIndex] = 0; + m_AllocationBytes[heapIndex] = 0; +#if VMA_MEMORY_BUDGET + m_VulkanUsage[heapIndex] = 0; + m_VulkanBudget[heapIndex] = 0; + m_BlockBytesAtBudgetFetch[heapIndex] = 0; +#endif + } + +#if VMA_MEMORY_BUDGET + m_OperationsSinceBudgetFetch = 0; +#endif +} + +void VmaCurrentBudgetData::AddAllocation(uint32_t heapIndex, VkDeviceSize allocationSize) +{ + m_AllocationBytes[heapIndex] += allocationSize; + ++m_AllocationCount[heapIndex]; +#if VMA_MEMORY_BUDGET + ++m_OperationsSinceBudgetFetch; +#endif +} + +void VmaCurrentBudgetData::RemoveAllocation(uint32_t heapIndex, VkDeviceSize allocationSize) +{ + VMA_ASSERT(m_AllocationBytes[heapIndex] >= allocationSize); + m_AllocationBytes[heapIndex] -= allocationSize; + VMA_ASSERT(m_AllocationCount[heapIndex] > 0); + --m_AllocationCount[heapIndex]; +#if VMA_MEMORY_BUDGET + ++m_OperationsSinceBudgetFetch; +#endif +} +#endif // _VMA_CURRENT_BUDGET_DATA_FUNCTIONS +#endif // _VMA_CURRENT_BUDGET_DATA + +#ifndef _VMA_ALLOCATION_OBJECT_ALLOCATOR +/* +Thread-safe wrapper over VmaPoolAllocator free list, for allocation of VmaAllocation_T objects. +*/ +class VmaAllocationObjectAllocator +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaAllocationObjectAllocator) +public: + VmaAllocationObjectAllocator(const VkAllocationCallbacks* pAllocationCallbacks) + : m_Allocator(pAllocationCallbacks, 1024) {} + + template VmaAllocation Allocate(Types&&... args); + void Free(VmaAllocation hAlloc); + +private: + VMA_MUTEX m_Mutex; + VmaPoolAllocator m_Allocator; +}; + +template +VmaAllocation VmaAllocationObjectAllocator::Allocate(Types&&... args) +{ + VmaMutexLock mutexLock(m_Mutex); + return m_Allocator.Alloc(std::forward(args)...); +} + +void VmaAllocationObjectAllocator::Free(VmaAllocation hAlloc) +{ + VmaMutexLock mutexLock(m_Mutex); + m_Allocator.Free(hAlloc); +} +#endif // _VMA_ALLOCATION_OBJECT_ALLOCATOR + +#ifndef _VMA_VIRTUAL_BLOCK_T +struct VmaVirtualBlock_T +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaVirtualBlock_T) +public: + const bool m_AllocationCallbacksSpecified; + const VkAllocationCallbacks m_AllocationCallbacks; + + VmaVirtualBlock_T(const VmaVirtualBlockCreateInfo& createInfo); + ~VmaVirtualBlock_T(); + + VkResult Init() { return VK_SUCCESS; } + bool IsEmpty() const { return m_Metadata->IsEmpty(); } + void Free(VmaVirtualAllocation allocation) { m_Metadata->Free((VmaAllocHandle)allocation); } + void SetAllocationUserData(VmaVirtualAllocation allocation, void* userData) { m_Metadata->SetAllocationUserData((VmaAllocHandle)allocation, userData); } + void Clear() { m_Metadata->Clear(); } + + const VkAllocationCallbacks* GetAllocationCallbacks() const; + void GetAllocationInfo(VmaVirtualAllocation allocation, VmaVirtualAllocationInfo& outInfo); + VkResult Allocate(const VmaVirtualAllocationCreateInfo& createInfo, VmaVirtualAllocation& outAllocation, + VkDeviceSize* outOffset); + void GetStatistics(VmaStatistics& outStats) const; + void CalculateDetailedStatistics(VmaDetailedStatistics& outStats) const; +#if VMA_STATS_STRING_ENABLED + void BuildStatsString(bool detailedMap, VmaStringBuilder& sb) const; +#endif + +private: + VmaBlockMetadata* m_Metadata; +}; + +#ifndef _VMA_VIRTUAL_BLOCK_T_FUNCTIONS +VmaVirtualBlock_T::VmaVirtualBlock_T(const VmaVirtualBlockCreateInfo& createInfo) + : m_AllocationCallbacksSpecified(createInfo.pAllocationCallbacks != VMA_NULL), + m_AllocationCallbacks(createInfo.pAllocationCallbacks != VMA_NULL ? *createInfo.pAllocationCallbacks : VmaEmptyAllocationCallbacks) +{ + const uint32_t algorithm = createInfo.flags & VMA_VIRTUAL_BLOCK_CREATE_ALGORITHM_MASK; + switch (algorithm) + { + case 0: + m_Metadata = vma_new(GetAllocationCallbacks(), VmaBlockMetadata_TLSF)(VK_NULL_HANDLE, 1, true); + break; + case VMA_VIRTUAL_BLOCK_CREATE_LINEAR_ALGORITHM_BIT: + m_Metadata = vma_new(GetAllocationCallbacks(), VmaBlockMetadata_Linear)(VK_NULL_HANDLE, 1, true); + break; + default: + VMA_ASSERT(0); + m_Metadata = vma_new(GetAllocationCallbacks(), VmaBlockMetadata_TLSF)(VK_NULL_HANDLE, 1, true); + } + + m_Metadata->Init(createInfo.size); +} + +VmaVirtualBlock_T::~VmaVirtualBlock_T() +{ + // Define macro VMA_DEBUG_LOG_FORMAT to receive the list of the unfreed allocations + if (!m_Metadata->IsEmpty()) + m_Metadata->DebugLogAllAllocations(); + // This is the most important assert in the entire library. + // Hitting it means you have some memory leak - unreleased virtual allocations. + VMA_ASSERT(m_Metadata->IsEmpty() && "Some virtual allocations were not freed before destruction of this virtual block!"); + + vma_delete(GetAllocationCallbacks(), m_Metadata); +} + +const VkAllocationCallbacks* VmaVirtualBlock_T::GetAllocationCallbacks() const +{ + return m_AllocationCallbacksSpecified ? &m_AllocationCallbacks : VMA_NULL; +} + +void VmaVirtualBlock_T::GetAllocationInfo(VmaVirtualAllocation allocation, VmaVirtualAllocationInfo& outInfo) +{ + m_Metadata->GetAllocationInfo((VmaAllocHandle)allocation, outInfo); +} + +VkResult VmaVirtualBlock_T::Allocate(const VmaVirtualAllocationCreateInfo& createInfo, VmaVirtualAllocation& outAllocation, + VkDeviceSize* outOffset) +{ + VmaAllocationRequest request = {}; + if (m_Metadata->CreateAllocationRequest( + createInfo.size, // allocSize + VMA_MAX(createInfo.alignment, (VkDeviceSize)1), // allocAlignment + (createInfo.flags & VMA_VIRTUAL_ALLOCATION_CREATE_UPPER_ADDRESS_BIT) != 0, // upperAddress + VMA_SUBALLOCATION_TYPE_UNKNOWN, // allocType - unimportant + createInfo.flags & VMA_VIRTUAL_ALLOCATION_CREATE_STRATEGY_MASK, // strategy + &request)) + { + m_Metadata->Alloc(request, + VMA_SUBALLOCATION_TYPE_UNKNOWN, // type - unimportant + createInfo.pUserData); + outAllocation = (VmaVirtualAllocation)request.allocHandle; + if(outOffset) + *outOffset = m_Metadata->GetAllocationOffset(request.allocHandle); + return VK_SUCCESS; + } + outAllocation = (VmaVirtualAllocation)VK_NULL_HANDLE; + if (outOffset) + *outOffset = UINT64_MAX; + return VK_ERROR_OUT_OF_DEVICE_MEMORY; +} + +void VmaVirtualBlock_T::GetStatistics(VmaStatistics& outStats) const +{ + VmaClearStatistics(outStats); + m_Metadata->AddStatistics(outStats); +} + +void VmaVirtualBlock_T::CalculateDetailedStatistics(VmaDetailedStatistics& outStats) const +{ + VmaClearDetailedStatistics(outStats); + m_Metadata->AddDetailedStatistics(outStats); +} + +#if VMA_STATS_STRING_ENABLED +void VmaVirtualBlock_T::BuildStatsString(bool detailedMap, VmaStringBuilder& sb) const +{ + VmaJsonWriter json(GetAllocationCallbacks(), sb); + json.BeginObject(); + + VmaDetailedStatistics stats; + CalculateDetailedStatistics(stats); + + json.WriteString("Stats"); + VmaPrintDetailedStatistics(json, stats); + + if (detailedMap) + { + json.WriteString("Details"); + json.BeginObject(); + m_Metadata->PrintDetailedMap(json); + json.EndObject(); + } + + json.EndObject(); +} +#endif // VMA_STATS_STRING_ENABLED +#endif // _VMA_VIRTUAL_BLOCK_T_FUNCTIONS +#endif // _VMA_VIRTUAL_BLOCK_T + + +// Main allocator object. +struct VmaAllocator_T +{ + VMA_CLASS_NO_COPY_NO_MOVE(VmaAllocator_T) +public: + bool m_UseMutex; + uint32_t m_VulkanApiVersion; + bool m_UseKhrDedicatedAllocation; // Can be set only if m_VulkanApiVersion < VK_MAKE_VERSION(1, 1, 0). + bool m_UseKhrBindMemory2; // Can be set only if m_VulkanApiVersion < VK_MAKE_VERSION(1, 1, 0). + bool m_UseExtMemoryBudget; + bool m_UseAmdDeviceCoherentMemory; + bool m_UseKhrBufferDeviceAddress; + bool m_UseExtMemoryPriority; + VkDevice m_hDevice; + VkInstance m_hInstance; + bool m_AllocationCallbacksSpecified; + VkAllocationCallbacks m_AllocationCallbacks; + VmaDeviceMemoryCallbacks m_DeviceMemoryCallbacks; + VmaAllocationObjectAllocator m_AllocationObjectAllocator; + + // Each bit (1 << i) is set if HeapSizeLimit is enabled for that heap, so cannot allocate more than the heap size. + uint32_t m_HeapSizeLimitMask; + + VkPhysicalDeviceProperties m_PhysicalDeviceProperties; + VkPhysicalDeviceMemoryProperties m_MemProps; + + // Default pools. + VmaBlockVector* m_pBlockVectors[VK_MAX_MEMORY_TYPES]; + VmaDedicatedAllocationList m_DedicatedAllocations[VK_MAX_MEMORY_TYPES]; + + VmaCurrentBudgetData m_Budget; + VMA_ATOMIC_UINT32 m_DeviceMemoryCount; // Total number of VkDeviceMemory objects. + + VmaAllocator_T(const VmaAllocatorCreateInfo* pCreateInfo); + VkResult Init(const VmaAllocatorCreateInfo* pCreateInfo); + ~VmaAllocator_T(); + + const VkAllocationCallbacks* GetAllocationCallbacks() const + { + return m_AllocationCallbacksSpecified ? &m_AllocationCallbacks : VMA_NULL; + } + const VmaVulkanFunctions& GetVulkanFunctions() const + { + return m_VulkanFunctions; + } + + VkPhysicalDevice GetPhysicalDevice() const { return m_PhysicalDevice; } + + VkDeviceSize GetBufferImageGranularity() const + { + return VMA_MAX( + static_cast(VMA_DEBUG_MIN_BUFFER_IMAGE_GRANULARITY), + m_PhysicalDeviceProperties.limits.bufferImageGranularity); + } + + uint32_t GetMemoryHeapCount() const { return m_MemProps.memoryHeapCount; } + uint32_t GetMemoryTypeCount() const { return m_MemProps.memoryTypeCount; } + + uint32_t MemoryTypeIndexToHeapIndex(uint32_t memTypeIndex) const + { + VMA_ASSERT(memTypeIndex < m_MemProps.memoryTypeCount); + return m_MemProps.memoryTypes[memTypeIndex].heapIndex; + } + // True when specific memory type is HOST_VISIBLE but not HOST_COHERENT. + bool IsMemoryTypeNonCoherent(uint32_t memTypeIndex) const + { + return (m_MemProps.memoryTypes[memTypeIndex].propertyFlags & (VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT | VK_MEMORY_PROPERTY_HOST_COHERENT_BIT)) == + VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT; + } + // Minimum alignment for all allocations in specific memory type. + VkDeviceSize GetMemoryTypeMinAlignment(uint32_t memTypeIndex) const + { + return IsMemoryTypeNonCoherent(memTypeIndex) ? + VMA_MAX((VkDeviceSize)VMA_MIN_ALIGNMENT, m_PhysicalDeviceProperties.limits.nonCoherentAtomSize) : + (VkDeviceSize)VMA_MIN_ALIGNMENT; + } + + bool IsIntegratedGpu() const + { + return m_PhysicalDeviceProperties.deviceType == VK_PHYSICAL_DEVICE_TYPE_INTEGRATED_GPU; + } + + uint32_t GetGlobalMemoryTypeBits() const { return m_GlobalMemoryTypeBits; } + + void GetBufferMemoryRequirements( + VkBuffer hBuffer, + VkMemoryRequirements& memReq, + bool& requiresDedicatedAllocation, + bool& prefersDedicatedAllocation) const; + void GetImageMemoryRequirements( + VkImage hImage, + VkMemoryRequirements& memReq, + bool& requiresDedicatedAllocation, + bool& prefersDedicatedAllocation) const; + VkResult FindMemoryTypeIndex( + uint32_t memoryTypeBits, + const VmaAllocationCreateInfo* pAllocationCreateInfo, + VkFlags bufImgUsage, // VkBufferCreateInfo::usage or VkImageCreateInfo::usage. UINT32_MAX if unknown. + uint32_t* pMemoryTypeIndex) const; + + // Main allocation function. + VkResult AllocateMemory( + const VkMemoryRequirements& vkMemReq, + bool requiresDedicatedAllocation, + bool prefersDedicatedAllocation, + VkBuffer dedicatedBuffer, + VkImage dedicatedImage, + VkFlags dedicatedBufferImageUsage, // UINT32_MAX if unknown. + const VmaAllocationCreateInfo& createInfo, + VmaSuballocationType suballocType, + size_t allocationCount, + VmaAllocation* pAllocations); + + // Main deallocation function. + void FreeMemory( + size_t allocationCount, + const VmaAllocation* pAllocations); + + void CalculateStatistics(VmaTotalStatistics* pStats); + + void GetHeapBudgets( + VmaBudget* outBudgets, uint32_t firstHeap, uint32_t heapCount); + +#if VMA_STATS_STRING_ENABLED + void PrintDetailedMap(class VmaJsonWriter& json); +#endif + + void GetAllocationInfo(VmaAllocation hAllocation, VmaAllocationInfo* pAllocationInfo); + + VkResult CreatePool(const VmaPoolCreateInfo* pCreateInfo, VmaPool* pPool); + void DestroyPool(VmaPool pool); + void GetPoolStatistics(VmaPool pool, VmaStatistics* pPoolStats); + void CalculatePoolStatistics(VmaPool pool, VmaDetailedStatistics* pPoolStats); + + void SetCurrentFrameIndex(uint32_t frameIndex); + uint32_t GetCurrentFrameIndex() const { return m_CurrentFrameIndex.load(); } + + VkResult CheckPoolCorruption(VmaPool hPool); + VkResult CheckCorruption(uint32_t memoryTypeBits); + + // Call to Vulkan function vkAllocateMemory with accompanying bookkeeping. + VkResult AllocateVulkanMemory(const VkMemoryAllocateInfo* pAllocateInfo, VkDeviceMemory* pMemory); + // Call to Vulkan function vkFreeMemory with accompanying bookkeeping. + void FreeVulkanMemory(uint32_t memoryType, VkDeviceSize size, VkDeviceMemory hMemory); + // Call to Vulkan function vkBindBufferMemory or vkBindBufferMemory2KHR. + VkResult BindVulkanBuffer( + VkDeviceMemory memory, + VkDeviceSize memoryOffset, + VkBuffer buffer, + const void* pNext); + // Call to Vulkan function vkBindImageMemory or vkBindImageMemory2KHR. + VkResult BindVulkanImage( + VkDeviceMemory memory, + VkDeviceSize memoryOffset, + VkImage image, + const void* pNext); + + VkResult Map(VmaAllocation hAllocation, void** ppData); + void Unmap(VmaAllocation hAllocation); + + VkResult BindBufferMemory( + VmaAllocation hAllocation, + VkDeviceSize allocationLocalOffset, + VkBuffer hBuffer, + const void* pNext); + VkResult BindImageMemory( + VmaAllocation hAllocation, + VkDeviceSize allocationLocalOffset, + VkImage hImage, + const void* pNext); + + VkResult FlushOrInvalidateAllocation( + VmaAllocation hAllocation, + VkDeviceSize offset, VkDeviceSize size, + VMA_CACHE_OPERATION op); + VkResult FlushOrInvalidateAllocations( + uint32_t allocationCount, + const VmaAllocation* allocations, + const VkDeviceSize* offsets, const VkDeviceSize* sizes, + VMA_CACHE_OPERATION op); + + void FillAllocation(const VmaAllocation hAllocation, uint8_t pattern); + + /* + Returns bit mask of memory types that can support defragmentation on GPU as + they support creation of required buffer for copy operations. + */ + uint32_t GetGpuDefragmentationMemoryTypeBits(); + +#if VMA_EXTERNAL_MEMORY + VkExternalMemoryHandleTypeFlagsKHR GetExternalMemoryHandleTypeFlags(uint32_t memTypeIndex) const + { + return m_TypeExternalMemoryHandleTypes[memTypeIndex]; + } +#endif // #if VMA_EXTERNAL_MEMORY + +private: + VkDeviceSize m_PreferredLargeHeapBlockSize; + + VkPhysicalDevice m_PhysicalDevice; + VMA_ATOMIC_UINT32 m_CurrentFrameIndex; + VMA_ATOMIC_UINT32 m_GpuDefragmentationMemoryTypeBits; // UINT32_MAX means uninitialized. +#if VMA_EXTERNAL_MEMORY + VkExternalMemoryHandleTypeFlagsKHR m_TypeExternalMemoryHandleTypes[VK_MAX_MEMORY_TYPES]; +#endif // #if VMA_EXTERNAL_MEMORY + + VMA_RW_MUTEX m_PoolsMutex; + typedef VmaIntrusiveLinkedList PoolList; + // Protected by m_PoolsMutex. + PoolList m_Pools; + uint32_t m_NextPoolId; + + VmaVulkanFunctions m_VulkanFunctions; + + // Global bit mask AND-ed with any memoryTypeBits to disallow certain memory types. + uint32_t m_GlobalMemoryTypeBits; + + void ImportVulkanFunctions(const VmaVulkanFunctions* pVulkanFunctions); + +#if VMA_STATIC_VULKAN_FUNCTIONS == 1 + void ImportVulkanFunctions_Static(); +#endif + + void ImportVulkanFunctions_Custom(const VmaVulkanFunctions* pVulkanFunctions); + +#if VMA_DYNAMIC_VULKAN_FUNCTIONS == 1 + void ImportVulkanFunctions_Dynamic(); +#endif + + void ValidateVulkanFunctions(); + + VkDeviceSize CalcPreferredBlockSize(uint32_t memTypeIndex); + + VkResult AllocateMemoryOfType( + VmaPool pool, + VkDeviceSize size, + VkDeviceSize alignment, + bool dedicatedPreferred, + VkBuffer dedicatedBuffer, + VkImage dedicatedImage, + VkFlags dedicatedBufferImageUsage, + const VmaAllocationCreateInfo& createInfo, + uint32_t memTypeIndex, + VmaSuballocationType suballocType, + VmaDedicatedAllocationList& dedicatedAllocations, + VmaBlockVector& blockVector, + size_t allocationCount, + VmaAllocation* pAllocations); + + // Helper function only to be used inside AllocateDedicatedMemory. + VkResult AllocateDedicatedMemoryPage( + VmaPool pool, + VkDeviceSize size, + VmaSuballocationType suballocType, + uint32_t memTypeIndex, + const VkMemoryAllocateInfo& allocInfo, + bool map, + bool isUserDataString, + bool isMappingAllowed, + void* pUserData, + VmaAllocation* pAllocation); + + // Allocates and registers new VkDeviceMemory specifically for dedicated allocations. + VkResult AllocateDedicatedMemory( + VmaPool pool, + VkDeviceSize size, + VmaSuballocationType suballocType, + VmaDedicatedAllocationList& dedicatedAllocations, + uint32_t memTypeIndex, + bool map, + bool isUserDataString, + bool isMappingAllowed, + bool canAliasMemory, + void* pUserData, + float priority, + VkBuffer dedicatedBuffer, + VkImage dedicatedImage, + VkFlags dedicatedBufferImageUsage, + size_t allocationCount, + VmaAllocation* pAllocations, + const void* pNextChain = nullptr); + + void FreeDedicatedMemory(const VmaAllocation allocation); + + VkResult CalcMemTypeParams( + VmaAllocationCreateInfo& outCreateInfo, + uint32_t memTypeIndex, + VkDeviceSize size, + size_t allocationCount); + VkResult CalcAllocationParams( + VmaAllocationCreateInfo& outCreateInfo, + bool dedicatedRequired, + bool dedicatedPreferred); + + /* + Calculates and returns bit mask of memory types that can support defragmentation + on GPU as they support creation of required buffer for copy operations. + */ + uint32_t CalculateGpuDefragmentationMemoryTypeBits() const; + uint32_t CalculateGlobalMemoryTypeBits() const; + + bool GetFlushOrInvalidateRange( + VmaAllocation allocation, + VkDeviceSize offset, VkDeviceSize size, + VkMappedMemoryRange& outRange) const; + +#if VMA_MEMORY_BUDGET + void UpdateVulkanBudget(); +#endif // #if VMA_MEMORY_BUDGET +}; + + +#ifndef _VMA_MEMORY_FUNCTIONS +static void* VmaMalloc(VmaAllocator hAllocator, size_t size, size_t alignment) +{ + return VmaMalloc(&hAllocator->m_AllocationCallbacks, size, alignment); +} + +static void VmaFree(VmaAllocator hAllocator, void* ptr) +{ + VmaFree(&hAllocator->m_AllocationCallbacks, ptr); +} + +template +static T* VmaAllocate(VmaAllocator hAllocator) +{ + return (T*)VmaMalloc(hAllocator, sizeof(T), VMA_ALIGN_OF(T)); +} + +template +static T* VmaAllocateArray(VmaAllocator hAllocator, size_t count) +{ + return (T*)VmaMalloc(hAllocator, sizeof(T) * count, VMA_ALIGN_OF(T)); +} + +template +static void vma_delete(VmaAllocator hAllocator, T* ptr) +{ + if(ptr != VMA_NULL) + { + ptr->~T(); + VmaFree(hAllocator, ptr); + } +} + +template +static void vma_delete_array(VmaAllocator hAllocator, T* ptr, size_t count) +{ + if(ptr != VMA_NULL) + { + for(size_t i = count; i--; ) + ptr[i].~T(); + VmaFree(hAllocator, ptr); + } +} +#endif // _VMA_MEMORY_FUNCTIONS + +#ifndef _VMA_DEVICE_MEMORY_BLOCK_FUNCTIONS +VmaDeviceMemoryBlock::VmaDeviceMemoryBlock(VmaAllocator hAllocator) + : m_pMetadata(VMA_NULL), + m_MemoryTypeIndex(UINT32_MAX), + m_Id(0), + m_hMemory(VK_NULL_HANDLE), + m_MapCount(0), + m_pMappedData(VMA_NULL) {} + +VmaDeviceMemoryBlock::~VmaDeviceMemoryBlock() +{ + VMA_ASSERT(m_MapCount == 0 && "VkDeviceMemory block is being destroyed while it is still mapped."); + VMA_ASSERT(m_hMemory == VK_NULL_HANDLE); +} + +void VmaDeviceMemoryBlock::Init( + VmaAllocator hAllocator, + VmaPool hParentPool, + uint32_t newMemoryTypeIndex, + VkDeviceMemory newMemory, + VkDeviceSize newSize, + uint32_t id, + uint32_t algorithm, + VkDeviceSize bufferImageGranularity) +{ + VMA_ASSERT(m_hMemory == VK_NULL_HANDLE); + + m_hParentPool = hParentPool; + m_MemoryTypeIndex = newMemoryTypeIndex; + m_Id = id; + m_hMemory = newMemory; + + switch (algorithm) + { + case 0: + m_pMetadata = vma_new(hAllocator, VmaBlockMetadata_TLSF)(hAllocator->GetAllocationCallbacks(), + bufferImageGranularity, false); // isVirtual + break; + case VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT: + m_pMetadata = vma_new(hAllocator, VmaBlockMetadata_Linear)(hAllocator->GetAllocationCallbacks(), + bufferImageGranularity, false); // isVirtual + break; + default: + VMA_ASSERT(0); + m_pMetadata = vma_new(hAllocator, VmaBlockMetadata_TLSF)(hAllocator->GetAllocationCallbacks(), + bufferImageGranularity, false); // isVirtual + } + m_pMetadata->Init(newSize); +} + +void VmaDeviceMemoryBlock::Destroy(VmaAllocator allocator) +{ + // Define macro VMA_DEBUG_LOG_FORMAT to receive the list of the unfreed allocations + if (!m_pMetadata->IsEmpty()) + m_pMetadata->DebugLogAllAllocations(); + // This is the most important assert in the entire library. + // Hitting it means you have some memory leak - unreleased VmaAllocation objects. + VMA_ASSERT(m_pMetadata->IsEmpty() && "Some allocations were not freed before destruction of this memory block!"); + + VMA_ASSERT(m_hMemory != VK_NULL_HANDLE); + allocator->FreeVulkanMemory(m_MemoryTypeIndex, m_pMetadata->GetSize(), m_hMemory); + m_hMemory = VK_NULL_HANDLE; + + vma_delete(allocator, m_pMetadata); + m_pMetadata = VMA_NULL; +} + +void VmaDeviceMemoryBlock::PostAlloc(VmaAllocator hAllocator) +{ + VmaMutexLock lock(m_MapAndBindMutex, hAllocator->m_UseMutex); + m_MappingHysteresis.PostAlloc(); +} + +void VmaDeviceMemoryBlock::PostFree(VmaAllocator hAllocator) +{ + VmaMutexLock lock(m_MapAndBindMutex, hAllocator->m_UseMutex); + if(m_MappingHysteresis.PostFree()) + { + VMA_ASSERT(m_MappingHysteresis.GetExtraMapping() == 0); + if (m_MapCount == 0) + { + m_pMappedData = VMA_NULL; + (*hAllocator->GetVulkanFunctions().vkUnmapMemory)(hAllocator->m_hDevice, m_hMemory); + } + } +} + +bool VmaDeviceMemoryBlock::Validate() const +{ + VMA_VALIDATE((m_hMemory != VK_NULL_HANDLE) && + (m_pMetadata->GetSize() != 0)); + + return m_pMetadata->Validate(); +} + +VkResult VmaDeviceMemoryBlock::CheckCorruption(VmaAllocator hAllocator) +{ + void* pData = nullptr; + VkResult res = Map(hAllocator, 1, &pData); + if (res != VK_SUCCESS) + { + return res; + } + + res = m_pMetadata->CheckCorruption(pData); + + Unmap(hAllocator, 1); + + return res; +} + +VkResult VmaDeviceMemoryBlock::Map(VmaAllocator hAllocator, uint32_t count, void** ppData) +{ + if (count == 0) + { + return VK_SUCCESS; + } + + VmaMutexLock lock(m_MapAndBindMutex, hAllocator->m_UseMutex); + const uint32_t oldTotalMapCount = m_MapCount + m_MappingHysteresis.GetExtraMapping(); + m_MappingHysteresis.PostMap(); + if (oldTotalMapCount != 0) + { + m_MapCount += count; + VMA_ASSERT(m_pMappedData != VMA_NULL); + if (ppData != VMA_NULL) + { + *ppData = m_pMappedData; + } + return VK_SUCCESS; + } + else + { + VkResult result = (*hAllocator->GetVulkanFunctions().vkMapMemory)( + hAllocator->m_hDevice, + m_hMemory, + 0, // offset + VK_WHOLE_SIZE, + 0, // flags + &m_pMappedData); + if (result == VK_SUCCESS) + { + if (ppData != VMA_NULL) + { + *ppData = m_pMappedData; + } + m_MapCount = count; + } + return result; + } +} + +void VmaDeviceMemoryBlock::Unmap(VmaAllocator hAllocator, uint32_t count) +{ + if (count == 0) + { + return; + } + + VmaMutexLock lock(m_MapAndBindMutex, hAllocator->m_UseMutex); + if (m_MapCount >= count) + { + m_MapCount -= count; + const uint32_t totalMapCount = m_MapCount + m_MappingHysteresis.GetExtraMapping(); + if (totalMapCount == 0) + { + m_pMappedData = VMA_NULL; + (*hAllocator->GetVulkanFunctions().vkUnmapMemory)(hAllocator->m_hDevice, m_hMemory); + } + m_MappingHysteresis.PostUnmap(); + } + else + { + VMA_ASSERT(0 && "VkDeviceMemory block is being unmapped while it was not previously mapped."); + } +} + +VkResult VmaDeviceMemoryBlock::WriteMagicValueAfterAllocation(VmaAllocator hAllocator, VkDeviceSize allocOffset, VkDeviceSize allocSize) +{ + VMA_ASSERT(VMA_DEBUG_MARGIN > 0 && VMA_DEBUG_MARGIN % 4 == 0 && VMA_DEBUG_DETECT_CORRUPTION); + + void* pData; + VkResult res = Map(hAllocator, 1, &pData); + if (res != VK_SUCCESS) + { + return res; + } + + VmaWriteMagicValue(pData, allocOffset + allocSize); + + Unmap(hAllocator, 1); + return VK_SUCCESS; +} + +VkResult VmaDeviceMemoryBlock::ValidateMagicValueAfterAllocation(VmaAllocator hAllocator, VkDeviceSize allocOffset, VkDeviceSize allocSize) +{ + VMA_ASSERT(VMA_DEBUG_MARGIN > 0 && VMA_DEBUG_MARGIN % 4 == 0 && VMA_DEBUG_DETECT_CORRUPTION); + + void* pData; + VkResult res = Map(hAllocator, 1, &pData); + if (res != VK_SUCCESS) + { + return res; + } + + if (!VmaValidateMagicValue(pData, allocOffset + allocSize)) + { + VMA_ASSERT(0 && "MEMORY CORRUPTION DETECTED AFTER FREED ALLOCATION!"); + } + + Unmap(hAllocator, 1); + return VK_SUCCESS; +} + +VkResult VmaDeviceMemoryBlock::BindBufferMemory( + const VmaAllocator hAllocator, + const VmaAllocation hAllocation, + VkDeviceSize allocationLocalOffset, + VkBuffer hBuffer, + const void* pNext) +{ + VMA_ASSERT(hAllocation->GetType() == VmaAllocation_T::ALLOCATION_TYPE_BLOCK && + hAllocation->GetBlock() == this); + VMA_ASSERT(allocationLocalOffset < hAllocation->GetSize() && + "Invalid allocationLocalOffset. Did you forget that this offset is relative to the beginning of the allocation, not the whole memory block?"); + const VkDeviceSize memoryOffset = hAllocation->GetOffset() + allocationLocalOffset; + // This lock is important so that we don't call vkBind... and/or vkMap... simultaneously on the same VkDeviceMemory from multiple threads. + VmaMutexLock lock(m_MapAndBindMutex, hAllocator->m_UseMutex); + return hAllocator->BindVulkanBuffer(m_hMemory, memoryOffset, hBuffer, pNext); +} + +VkResult VmaDeviceMemoryBlock::BindImageMemory( + const VmaAllocator hAllocator, + const VmaAllocation hAllocation, + VkDeviceSize allocationLocalOffset, + VkImage hImage, + const void* pNext) +{ + VMA_ASSERT(hAllocation->GetType() == VmaAllocation_T::ALLOCATION_TYPE_BLOCK && + hAllocation->GetBlock() == this); + VMA_ASSERT(allocationLocalOffset < hAllocation->GetSize() && + "Invalid allocationLocalOffset. Did you forget that this offset is relative to the beginning of the allocation, not the whole memory block?"); + const VkDeviceSize memoryOffset = hAllocation->GetOffset() + allocationLocalOffset; + // This lock is important so that we don't call vkBind... and/or vkMap... simultaneously on the same VkDeviceMemory from multiple threads. + VmaMutexLock lock(m_MapAndBindMutex, hAllocator->m_UseMutex); + return hAllocator->BindVulkanImage(m_hMemory, memoryOffset, hImage, pNext); +} +#endif // _VMA_DEVICE_MEMORY_BLOCK_FUNCTIONS + +#ifndef _VMA_ALLOCATION_T_FUNCTIONS +VmaAllocation_T::VmaAllocation_T(bool mappingAllowed) + : m_Alignment{ 1 }, + m_Size{ 0 }, + m_pUserData{ VMA_NULL }, + m_pName{ VMA_NULL }, + m_MemoryTypeIndex{ 0 }, + m_Type{ (uint8_t)ALLOCATION_TYPE_NONE }, + m_SuballocationType{ (uint8_t)VMA_SUBALLOCATION_TYPE_UNKNOWN }, + m_MapCount{ 0 }, + m_Flags{ 0 } +{ + if(mappingAllowed) + m_Flags |= (uint8_t)FLAG_MAPPING_ALLOWED; + +#if VMA_STATS_STRING_ENABLED + m_BufferImageUsage = 0; +#endif +} + +VmaAllocation_T::~VmaAllocation_T() +{ + VMA_ASSERT(m_MapCount == 0 && "Allocation was not unmapped before destruction."); + + // Check if owned string was freed. + VMA_ASSERT(m_pName == VMA_NULL); +} + +void VmaAllocation_T::InitBlockAllocation( + VmaDeviceMemoryBlock* block, + VmaAllocHandle allocHandle, + VkDeviceSize alignment, + VkDeviceSize size, + uint32_t memoryTypeIndex, + VmaSuballocationType suballocationType, + bool mapped) +{ + VMA_ASSERT(m_Type == ALLOCATION_TYPE_NONE); + VMA_ASSERT(block != VMA_NULL); + m_Type = (uint8_t)ALLOCATION_TYPE_BLOCK; + m_Alignment = alignment; + m_Size = size; + m_MemoryTypeIndex = memoryTypeIndex; + if(mapped) + { + VMA_ASSERT(IsMappingAllowed() && "Mapping is not allowed on this allocation! Please use one of the new VMA_ALLOCATION_CREATE_HOST_ACCESS_* flags when creating it."); + m_Flags |= (uint8_t)FLAG_PERSISTENT_MAP; + } + m_SuballocationType = (uint8_t)suballocationType; + m_BlockAllocation.m_Block = block; + m_BlockAllocation.m_AllocHandle = allocHandle; +} + +void VmaAllocation_T::InitDedicatedAllocation( + VmaPool hParentPool, + uint32_t memoryTypeIndex, + VkDeviceMemory hMemory, + VmaSuballocationType suballocationType, + void* pMappedData, + VkDeviceSize size) +{ + VMA_ASSERT(m_Type == ALLOCATION_TYPE_NONE); + VMA_ASSERT(hMemory != VK_NULL_HANDLE); + m_Type = (uint8_t)ALLOCATION_TYPE_DEDICATED; + m_Alignment = 0; + m_Size = size; + m_MemoryTypeIndex = memoryTypeIndex; + m_SuballocationType = (uint8_t)suballocationType; + if(pMappedData != VMA_NULL) + { + VMA_ASSERT(IsMappingAllowed() && "Mapping is not allowed on this allocation! Please use one of the new VMA_ALLOCATION_CREATE_HOST_ACCESS_* flags when creating it."); + m_Flags |= (uint8_t)FLAG_PERSISTENT_MAP; + } + m_DedicatedAllocation.m_hParentPool = hParentPool; + m_DedicatedAllocation.m_hMemory = hMemory; + m_DedicatedAllocation.m_pMappedData = pMappedData; + m_DedicatedAllocation.m_Prev = VMA_NULL; + m_DedicatedAllocation.m_Next = VMA_NULL; +} + +void VmaAllocation_T::SetName(VmaAllocator hAllocator, const char* pName) +{ + VMA_ASSERT(pName == VMA_NULL || pName != m_pName); + + FreeName(hAllocator); + + if (pName != VMA_NULL) + m_pName = VmaCreateStringCopy(hAllocator->GetAllocationCallbacks(), pName); +} + +uint8_t VmaAllocation_T::SwapBlockAllocation(VmaAllocator hAllocator, VmaAllocation allocation) +{ + VMA_ASSERT(allocation != VMA_NULL); + VMA_ASSERT(m_Type == ALLOCATION_TYPE_BLOCK); + VMA_ASSERT(allocation->m_Type == ALLOCATION_TYPE_BLOCK); + + if (m_MapCount != 0) + m_BlockAllocation.m_Block->Unmap(hAllocator, m_MapCount); + + m_BlockAllocation.m_Block->m_pMetadata->SetAllocationUserData(m_BlockAllocation.m_AllocHandle, allocation); + VMA_SWAP(m_BlockAllocation, allocation->m_BlockAllocation); + m_BlockAllocation.m_Block->m_pMetadata->SetAllocationUserData(m_BlockAllocation.m_AllocHandle, this); + +#if VMA_STATS_STRING_ENABLED + VMA_SWAP(m_BufferImageUsage, allocation->m_BufferImageUsage); +#endif + return m_MapCount; +} + +VmaAllocHandle VmaAllocation_T::GetAllocHandle() const +{ + switch (m_Type) + { + case ALLOCATION_TYPE_BLOCK: + return m_BlockAllocation.m_AllocHandle; + case ALLOCATION_TYPE_DEDICATED: + return VK_NULL_HANDLE; + default: + VMA_ASSERT(0); + return VK_NULL_HANDLE; + } +} + +VkDeviceSize VmaAllocation_T::GetOffset() const +{ + switch (m_Type) + { + case ALLOCATION_TYPE_BLOCK: + return m_BlockAllocation.m_Block->m_pMetadata->GetAllocationOffset(m_BlockAllocation.m_AllocHandle); + case ALLOCATION_TYPE_DEDICATED: + return 0; + default: + VMA_ASSERT(0); + return 0; + } +} + +VmaPool VmaAllocation_T::GetParentPool() const +{ + switch (m_Type) + { + case ALLOCATION_TYPE_BLOCK: + return m_BlockAllocation.m_Block->GetParentPool(); + case ALLOCATION_TYPE_DEDICATED: + return m_DedicatedAllocation.m_hParentPool; + default: + VMA_ASSERT(0); + return VK_NULL_HANDLE; + } +} + +VkDeviceMemory VmaAllocation_T::GetMemory() const +{ + switch (m_Type) + { + case ALLOCATION_TYPE_BLOCK: + return m_BlockAllocation.m_Block->GetDeviceMemory(); + case ALLOCATION_TYPE_DEDICATED: + return m_DedicatedAllocation.m_hMemory; + default: + VMA_ASSERT(0); + return VK_NULL_HANDLE; + } +} + +void* VmaAllocation_T::GetMappedData() const +{ + switch (m_Type) + { + case ALLOCATION_TYPE_BLOCK: + if (m_MapCount != 0 || IsPersistentMap()) + { + void* pBlockData = m_BlockAllocation.m_Block->GetMappedData(); + VMA_ASSERT(pBlockData != VMA_NULL); + return (char*)pBlockData + GetOffset(); + } + else + { + return VMA_NULL; + } + break; + case ALLOCATION_TYPE_DEDICATED: + VMA_ASSERT((m_DedicatedAllocation.m_pMappedData != VMA_NULL) == (m_MapCount != 0 || IsPersistentMap())); + return m_DedicatedAllocation.m_pMappedData; + default: + VMA_ASSERT(0); + return VMA_NULL; + } +} + +void VmaAllocation_T::BlockAllocMap() +{ + VMA_ASSERT(GetType() == ALLOCATION_TYPE_BLOCK); + VMA_ASSERT(IsMappingAllowed() && "Mapping is not allowed on this allocation! Please use one of the new VMA_ALLOCATION_CREATE_HOST_ACCESS_* flags when creating it."); + + if (m_MapCount < 0xFF) + { + ++m_MapCount; + } + else + { + VMA_ASSERT(0 && "Allocation mapped too many times simultaneously."); + } +} + +void VmaAllocation_T::BlockAllocUnmap() +{ + VMA_ASSERT(GetType() == ALLOCATION_TYPE_BLOCK); + + if (m_MapCount > 0) + { + --m_MapCount; + } + else + { + VMA_ASSERT(0 && "Unmapping allocation not previously mapped."); + } +} + +VkResult VmaAllocation_T::DedicatedAllocMap(VmaAllocator hAllocator, void** ppData) +{ + VMA_ASSERT(GetType() == ALLOCATION_TYPE_DEDICATED); + VMA_ASSERT(IsMappingAllowed() && "Mapping is not allowed on this allocation! Please use one of the new VMA_ALLOCATION_CREATE_HOST_ACCESS_* flags when creating it."); + + if (m_MapCount != 0 || IsPersistentMap()) + { + if (m_MapCount < 0xFF) + { + VMA_ASSERT(m_DedicatedAllocation.m_pMappedData != VMA_NULL); + *ppData = m_DedicatedAllocation.m_pMappedData; + ++m_MapCount; + return VK_SUCCESS; + } + else + { + VMA_ASSERT(0 && "Dedicated allocation mapped too many times simultaneously."); + return VK_ERROR_MEMORY_MAP_FAILED; + } + } + else + { + VkResult result = (*hAllocator->GetVulkanFunctions().vkMapMemory)( + hAllocator->m_hDevice, + m_DedicatedAllocation.m_hMemory, + 0, // offset + VK_WHOLE_SIZE, + 0, // flags + ppData); + if (result == VK_SUCCESS) + { + m_DedicatedAllocation.m_pMappedData = *ppData; + m_MapCount = 1; + } + return result; + } +} + +void VmaAllocation_T::DedicatedAllocUnmap(VmaAllocator hAllocator) +{ + VMA_ASSERT(GetType() == ALLOCATION_TYPE_DEDICATED); + + if (m_MapCount > 0) + { + --m_MapCount; + if (m_MapCount == 0 && !IsPersistentMap()) + { + m_DedicatedAllocation.m_pMappedData = VMA_NULL; + (*hAllocator->GetVulkanFunctions().vkUnmapMemory)( + hAllocator->m_hDevice, + m_DedicatedAllocation.m_hMemory); + } + } + else + { + VMA_ASSERT(0 && "Unmapping dedicated allocation not previously mapped."); + } +} + +#if VMA_STATS_STRING_ENABLED +void VmaAllocation_T::InitBufferImageUsage(uint32_t bufferImageUsage) +{ + VMA_ASSERT(m_BufferImageUsage == 0); + m_BufferImageUsage = bufferImageUsage; +} + +void VmaAllocation_T::PrintParameters(class VmaJsonWriter& json) const +{ + json.WriteString("Type"); + json.WriteString(VMA_SUBALLOCATION_TYPE_NAMES[m_SuballocationType]); + + json.WriteString("Size"); + json.WriteNumber(m_Size); + json.WriteString("Usage"); + json.WriteNumber(m_BufferImageUsage); + + if (m_pUserData != VMA_NULL) + { + json.WriteString("CustomData"); + json.BeginString(); + json.ContinueString_Pointer(m_pUserData); + json.EndString(); + } + if (m_pName != VMA_NULL) + { + json.WriteString("Name"); + json.WriteString(m_pName); + } +} +#endif // VMA_STATS_STRING_ENABLED + +void VmaAllocation_T::FreeName(VmaAllocator hAllocator) +{ + if(m_pName) + { + VmaFreeString(hAllocator->GetAllocationCallbacks(), m_pName); + m_pName = VMA_NULL; + } +} +#endif // _VMA_ALLOCATION_T_FUNCTIONS + +#ifndef _VMA_BLOCK_VECTOR_FUNCTIONS +VmaBlockVector::VmaBlockVector( + VmaAllocator hAllocator, + VmaPool hParentPool, + uint32_t memoryTypeIndex, + VkDeviceSize preferredBlockSize, + size_t minBlockCount, + size_t maxBlockCount, + VkDeviceSize bufferImageGranularity, + bool explicitBlockSize, + uint32_t algorithm, + float priority, + VkDeviceSize minAllocationAlignment, + void* pMemoryAllocateNext) + : m_hAllocator(hAllocator), + m_hParentPool(hParentPool), + m_MemoryTypeIndex(memoryTypeIndex), + m_PreferredBlockSize(preferredBlockSize), + m_MinBlockCount(minBlockCount), + m_MaxBlockCount(maxBlockCount), + m_BufferImageGranularity(bufferImageGranularity), + m_ExplicitBlockSize(explicitBlockSize), + m_Algorithm(algorithm), + m_Priority(priority), + m_MinAllocationAlignment(minAllocationAlignment), + m_pMemoryAllocateNext(pMemoryAllocateNext), + m_Blocks(VmaStlAllocator(hAllocator->GetAllocationCallbacks())), + m_NextBlockId(0) {} + +VmaBlockVector::~VmaBlockVector() +{ + for (size_t i = m_Blocks.size(); i--; ) + { + m_Blocks[i]->Destroy(m_hAllocator); + vma_delete(m_hAllocator, m_Blocks[i]); + } +} + +VkResult VmaBlockVector::CreateMinBlocks() +{ + for (size_t i = 0; i < m_MinBlockCount; ++i) + { + VkResult res = CreateBlock(m_PreferredBlockSize, VMA_NULL); + if (res != VK_SUCCESS) + { + return res; + } + } + return VK_SUCCESS; +} + +void VmaBlockVector::AddStatistics(VmaStatistics& inoutStats) +{ + VmaMutexLockRead lock(m_Mutex, m_hAllocator->m_UseMutex); + + const size_t blockCount = m_Blocks.size(); + for (uint32_t blockIndex = 0; blockIndex < blockCount; ++blockIndex) + { + const VmaDeviceMemoryBlock* const pBlock = m_Blocks[blockIndex]; + VMA_ASSERT(pBlock); + VMA_HEAVY_ASSERT(pBlock->Validate()); + pBlock->m_pMetadata->AddStatistics(inoutStats); + } +} + +void VmaBlockVector::AddDetailedStatistics(VmaDetailedStatistics& inoutStats) +{ + VmaMutexLockRead lock(m_Mutex, m_hAllocator->m_UseMutex); + + const size_t blockCount = m_Blocks.size(); + for (uint32_t blockIndex = 0; blockIndex < blockCount; ++blockIndex) + { + const VmaDeviceMemoryBlock* const pBlock = m_Blocks[blockIndex]; + VMA_ASSERT(pBlock); + VMA_HEAVY_ASSERT(pBlock->Validate()); + pBlock->m_pMetadata->AddDetailedStatistics(inoutStats); + } +} + +bool VmaBlockVector::IsEmpty() +{ + VmaMutexLockRead lock(m_Mutex, m_hAllocator->m_UseMutex); + return m_Blocks.empty(); +} + +bool VmaBlockVector::IsCorruptionDetectionEnabled() const +{ + const uint32_t requiredMemFlags = VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT | VK_MEMORY_PROPERTY_HOST_COHERENT_BIT; + return (VMA_DEBUG_DETECT_CORRUPTION != 0) && + (VMA_DEBUG_MARGIN > 0) && + (m_Algorithm == 0 || m_Algorithm == VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT) && + (m_hAllocator->m_MemProps.memoryTypes[m_MemoryTypeIndex].propertyFlags & requiredMemFlags) == requiredMemFlags; +} + +VkResult VmaBlockVector::Allocate( + VkDeviceSize size, + VkDeviceSize alignment, + const VmaAllocationCreateInfo& createInfo, + VmaSuballocationType suballocType, + size_t allocationCount, + VmaAllocation* pAllocations) +{ + size_t allocIndex; + VkResult res = VK_SUCCESS; + + alignment = VMA_MAX(alignment, m_MinAllocationAlignment); + + if (IsCorruptionDetectionEnabled()) + { + size = VmaAlignUp(size, sizeof(VMA_CORRUPTION_DETECTION_MAGIC_VALUE)); + alignment = VmaAlignUp(alignment, sizeof(VMA_CORRUPTION_DETECTION_MAGIC_VALUE)); + } + + { + VmaMutexLockWrite lock(m_Mutex, m_hAllocator->m_UseMutex); + for (allocIndex = 0; allocIndex < allocationCount; ++allocIndex) + { + res = AllocatePage( + size, + alignment, + createInfo, + suballocType, + pAllocations + allocIndex); + if (res != VK_SUCCESS) + { + break; + } + } + } + + if (res != VK_SUCCESS) + { + // Free all already created allocations. + while (allocIndex--) + Free(pAllocations[allocIndex]); + memset(pAllocations, 0, sizeof(VmaAllocation) * allocationCount); + } + + return res; +} + +VkResult VmaBlockVector::AllocatePage( + VkDeviceSize size, + VkDeviceSize alignment, + const VmaAllocationCreateInfo& createInfo, + VmaSuballocationType suballocType, + VmaAllocation* pAllocation) +{ + const bool isUpperAddress = (createInfo.flags & VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT) != 0; + + VkDeviceSize freeMemory; + { + const uint32_t heapIndex = m_hAllocator->MemoryTypeIndexToHeapIndex(m_MemoryTypeIndex); + VmaBudget heapBudget = {}; + m_hAllocator->GetHeapBudgets(&heapBudget, heapIndex, 1); + freeMemory = (heapBudget.usage < heapBudget.budget) ? (heapBudget.budget - heapBudget.usage) : 0; + } + + const bool canFallbackToDedicated = !HasExplicitBlockSize() && + (createInfo.flags & VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT) == 0; + const bool canCreateNewBlock = + ((createInfo.flags & VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT) == 0) && + (m_Blocks.size() < m_MaxBlockCount) && + (freeMemory >= size || !canFallbackToDedicated); + uint32_t strategy = createInfo.flags & VMA_ALLOCATION_CREATE_STRATEGY_MASK; + + // Upper address can only be used with linear allocator and within single memory block. + if (isUpperAddress && + (m_Algorithm != VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT || m_MaxBlockCount > 1)) + { + return VK_ERROR_FEATURE_NOT_PRESENT; + } + + // Early reject: requested allocation size is larger that maximum block size for this block vector. + if (size + VMA_DEBUG_MARGIN > m_PreferredBlockSize) + { + return VK_ERROR_OUT_OF_DEVICE_MEMORY; + } + + // 1. Search existing allocations. Try to allocate. + if (m_Algorithm == VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT) + { + // Use only last block. + if (!m_Blocks.empty()) + { + VmaDeviceMemoryBlock* const pCurrBlock = m_Blocks.back(); + VMA_ASSERT(pCurrBlock); + VkResult res = AllocateFromBlock( + pCurrBlock, size, alignment, createInfo.flags, createInfo.pUserData, suballocType, strategy, pAllocation); + if (res == VK_SUCCESS) + { + VMA_DEBUG_LOG_FORMAT(" Returned from last block #%u", pCurrBlock->GetId()); + IncrementallySortBlocks(); + return VK_SUCCESS; + } + } + } + else + { + if (strategy != VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT) // MIN_MEMORY or default + { + const bool isHostVisible = + (m_hAllocator->m_MemProps.memoryTypes[m_MemoryTypeIndex].propertyFlags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) != 0; + if(isHostVisible) + { + const bool isMappingAllowed = (createInfo.flags & + (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0; + /* + For non-mappable allocations, check blocks that are not mapped first. + For mappable allocations, check blocks that are already mapped first. + This way, having many blocks, we will separate mappable and non-mappable allocations, + hopefully limiting the number of blocks that are mapped, which will help tools like RenderDoc. + */ + for(size_t mappingI = 0; mappingI < 2; ++mappingI) + { + // Forward order in m_Blocks - prefer blocks with smallest amount of free space. + for (size_t blockIndex = 0; blockIndex < m_Blocks.size(); ++blockIndex) + { + VmaDeviceMemoryBlock* const pCurrBlock = m_Blocks[blockIndex]; + VMA_ASSERT(pCurrBlock); + const bool isBlockMapped = pCurrBlock->GetMappedData() != VMA_NULL; + if((mappingI == 0) == (isMappingAllowed == isBlockMapped)) + { + VkResult res = AllocateFromBlock( + pCurrBlock, size, alignment, createInfo.flags, createInfo.pUserData, suballocType, strategy, pAllocation); + if (res == VK_SUCCESS) + { + VMA_DEBUG_LOG_FORMAT(" Returned from existing block #%u", pCurrBlock->GetId()); + IncrementallySortBlocks(); + return VK_SUCCESS; + } + } + } + } + } + else + { + // Forward order in m_Blocks - prefer blocks with smallest amount of free space. + for (size_t blockIndex = 0; blockIndex < m_Blocks.size(); ++blockIndex) + { + VmaDeviceMemoryBlock* const pCurrBlock = m_Blocks[blockIndex]; + VMA_ASSERT(pCurrBlock); + VkResult res = AllocateFromBlock( + pCurrBlock, size, alignment, createInfo.flags, createInfo.pUserData, suballocType, strategy, pAllocation); + if (res == VK_SUCCESS) + { + VMA_DEBUG_LOG_FORMAT(" Returned from existing block #%u", pCurrBlock->GetId()); + IncrementallySortBlocks(); + return VK_SUCCESS; + } + } + } + } + else // VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT + { + // Backward order in m_Blocks - prefer blocks with largest amount of free space. + for (size_t blockIndex = m_Blocks.size(); blockIndex--; ) + { + VmaDeviceMemoryBlock* const pCurrBlock = m_Blocks[blockIndex]; + VMA_ASSERT(pCurrBlock); + VkResult res = AllocateFromBlock(pCurrBlock, size, alignment, createInfo.flags, createInfo.pUserData, suballocType, strategy, pAllocation); + if (res == VK_SUCCESS) + { + VMA_DEBUG_LOG_FORMAT(" Returned from existing block #%u", pCurrBlock->GetId()); + IncrementallySortBlocks(); + return VK_SUCCESS; + } + } + } + } + + // 2. Try to create new block. + if (canCreateNewBlock) + { + // Calculate optimal size for new block. + VkDeviceSize newBlockSize = m_PreferredBlockSize; + uint32_t newBlockSizeShift = 0; + const uint32_t NEW_BLOCK_SIZE_SHIFT_MAX = 3; + + if (!m_ExplicitBlockSize) + { + // Allocate 1/8, 1/4, 1/2 as first blocks. + const VkDeviceSize maxExistingBlockSize = CalcMaxBlockSize(); + for (uint32_t i = 0; i < NEW_BLOCK_SIZE_SHIFT_MAX; ++i) + { + const VkDeviceSize smallerNewBlockSize = newBlockSize / 2; + if (smallerNewBlockSize > maxExistingBlockSize && smallerNewBlockSize >= size * 2) + { + newBlockSize = smallerNewBlockSize; + ++newBlockSizeShift; + } + else + { + break; + } + } + } + + size_t newBlockIndex = 0; + VkResult res = (newBlockSize <= freeMemory || !canFallbackToDedicated) ? + CreateBlock(newBlockSize, &newBlockIndex) : VK_ERROR_OUT_OF_DEVICE_MEMORY; + // Allocation of this size failed? Try 1/2, 1/4, 1/8 of m_PreferredBlockSize. + if (!m_ExplicitBlockSize) + { + while (res < 0 && newBlockSizeShift < NEW_BLOCK_SIZE_SHIFT_MAX) + { + const VkDeviceSize smallerNewBlockSize = newBlockSize / 2; + if (smallerNewBlockSize >= size) + { + newBlockSize = smallerNewBlockSize; + ++newBlockSizeShift; + res = (newBlockSize <= freeMemory || !canFallbackToDedicated) ? + CreateBlock(newBlockSize, &newBlockIndex) : VK_ERROR_OUT_OF_DEVICE_MEMORY; + } + else + { + break; + } + } + } + + if (res == VK_SUCCESS) + { + VmaDeviceMemoryBlock* const pBlock = m_Blocks[newBlockIndex]; + VMA_ASSERT(pBlock->m_pMetadata->GetSize() >= size); + + res = AllocateFromBlock( + pBlock, size, alignment, createInfo.flags, createInfo.pUserData, suballocType, strategy, pAllocation); + if (res == VK_SUCCESS) + { + VMA_DEBUG_LOG_FORMAT(" Created new block #%u Size=%llu", pBlock->GetId(), newBlockSize); + IncrementallySortBlocks(); + return VK_SUCCESS; + } + else + { + // Allocation from new block failed, possibly due to VMA_DEBUG_MARGIN or alignment. + return VK_ERROR_OUT_OF_DEVICE_MEMORY; + } + } + } + + return VK_ERROR_OUT_OF_DEVICE_MEMORY; +} + +void VmaBlockVector::Free(const VmaAllocation hAllocation) +{ + VmaDeviceMemoryBlock* pBlockToDelete = VMA_NULL; + + bool budgetExceeded = false; + { + const uint32_t heapIndex = m_hAllocator->MemoryTypeIndexToHeapIndex(m_MemoryTypeIndex); + VmaBudget heapBudget = {}; + m_hAllocator->GetHeapBudgets(&heapBudget, heapIndex, 1); + budgetExceeded = heapBudget.usage >= heapBudget.budget; + } + + // Scope for lock. + { + VmaMutexLockWrite lock(m_Mutex, m_hAllocator->m_UseMutex); + + VmaDeviceMemoryBlock* pBlock = hAllocation->GetBlock(); + + if (IsCorruptionDetectionEnabled()) + { + VkResult res = pBlock->ValidateMagicValueAfterAllocation(m_hAllocator, hAllocation->GetOffset(), hAllocation->GetSize()); + VMA_ASSERT(res == VK_SUCCESS && "Couldn't map block memory to validate magic value."); + } + + if (hAllocation->IsPersistentMap()) + { + pBlock->Unmap(m_hAllocator, 1); + } + + const bool hadEmptyBlockBeforeFree = HasEmptyBlock(); + pBlock->m_pMetadata->Free(hAllocation->GetAllocHandle()); + pBlock->PostFree(m_hAllocator); + VMA_HEAVY_ASSERT(pBlock->Validate()); + + VMA_DEBUG_LOG_FORMAT(" Freed from MemoryTypeIndex=%u", m_MemoryTypeIndex); + + const bool canDeleteBlock = m_Blocks.size() > m_MinBlockCount; + // pBlock became empty after this deallocation. + if (pBlock->m_pMetadata->IsEmpty()) + { + // Already had empty block. We don't want to have two, so delete this one. + if ((hadEmptyBlockBeforeFree || budgetExceeded) && canDeleteBlock) + { + pBlockToDelete = pBlock; + Remove(pBlock); + } + // else: We now have one empty block - leave it. A hysteresis to avoid allocating whole block back and forth. + } + // pBlock didn't become empty, but we have another empty block - find and free that one. + // (This is optional, heuristics.) + else if (hadEmptyBlockBeforeFree && canDeleteBlock) + { + VmaDeviceMemoryBlock* pLastBlock = m_Blocks.back(); + if (pLastBlock->m_pMetadata->IsEmpty()) + { + pBlockToDelete = pLastBlock; + m_Blocks.pop_back(); + } + } + + IncrementallySortBlocks(); + } + + // Destruction of a free block. Deferred until this point, outside of mutex + // lock, for performance reason. + if (pBlockToDelete != VMA_NULL) + { + VMA_DEBUG_LOG_FORMAT(" Deleted empty block #%u", pBlockToDelete->GetId()); + pBlockToDelete->Destroy(m_hAllocator); + vma_delete(m_hAllocator, pBlockToDelete); + } + + m_hAllocator->m_Budget.RemoveAllocation(m_hAllocator->MemoryTypeIndexToHeapIndex(m_MemoryTypeIndex), hAllocation->GetSize()); + m_hAllocator->m_AllocationObjectAllocator.Free(hAllocation); +} + +VkDeviceSize VmaBlockVector::CalcMaxBlockSize() const +{ + VkDeviceSize result = 0; + for (size_t i = m_Blocks.size(); i--; ) + { + result = VMA_MAX(result, m_Blocks[i]->m_pMetadata->GetSize()); + if (result >= m_PreferredBlockSize) + { + break; + } + } + return result; +} + +void VmaBlockVector::Remove(VmaDeviceMemoryBlock* pBlock) +{ + for (uint32_t blockIndex = 0; blockIndex < m_Blocks.size(); ++blockIndex) + { + if (m_Blocks[blockIndex] == pBlock) + { + VmaVectorRemove(m_Blocks, blockIndex); + return; + } + } + VMA_ASSERT(0); +} + +void VmaBlockVector::IncrementallySortBlocks() +{ + if (!m_IncrementalSort) + return; + if (m_Algorithm != VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT) + { + // Bubble sort only until first swap. + for (size_t i = 1; i < m_Blocks.size(); ++i) + { + if (m_Blocks[i - 1]->m_pMetadata->GetSumFreeSize() > m_Blocks[i]->m_pMetadata->GetSumFreeSize()) + { + VMA_SWAP(m_Blocks[i - 1], m_Blocks[i]); + return; + } + } + } +} + +void VmaBlockVector::SortByFreeSize() +{ + VMA_SORT(m_Blocks.begin(), m_Blocks.end(), + [](VmaDeviceMemoryBlock* b1, VmaDeviceMemoryBlock* b2) -> bool + { + return b1->m_pMetadata->GetSumFreeSize() < b2->m_pMetadata->GetSumFreeSize(); + }); +} + +VkResult VmaBlockVector::AllocateFromBlock( + VmaDeviceMemoryBlock* pBlock, + VkDeviceSize size, + VkDeviceSize alignment, + VmaAllocationCreateFlags allocFlags, + void* pUserData, + VmaSuballocationType suballocType, + uint32_t strategy, + VmaAllocation* pAllocation) +{ + const bool isUpperAddress = (allocFlags & VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT) != 0; + + VmaAllocationRequest currRequest = {}; + if (pBlock->m_pMetadata->CreateAllocationRequest( + size, + alignment, + isUpperAddress, + suballocType, + strategy, + &currRequest)) + { + return CommitAllocationRequest(currRequest, pBlock, alignment, allocFlags, pUserData, suballocType, pAllocation); + } + return VK_ERROR_OUT_OF_DEVICE_MEMORY; +} + +VkResult VmaBlockVector::CommitAllocationRequest( + VmaAllocationRequest& allocRequest, + VmaDeviceMemoryBlock* pBlock, + VkDeviceSize alignment, + VmaAllocationCreateFlags allocFlags, + void* pUserData, + VmaSuballocationType suballocType, + VmaAllocation* pAllocation) +{ + const bool mapped = (allocFlags & VMA_ALLOCATION_CREATE_MAPPED_BIT) != 0; + const bool isUserDataString = (allocFlags & VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT) != 0; + const bool isMappingAllowed = (allocFlags & + (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0; + + pBlock->PostAlloc(m_hAllocator); + // Allocate from pCurrBlock. + if (mapped) + { + VkResult res = pBlock->Map(m_hAllocator, 1, VMA_NULL); + if (res != VK_SUCCESS) + { + return res; + } + } + + *pAllocation = m_hAllocator->m_AllocationObjectAllocator.Allocate(isMappingAllowed); + pBlock->m_pMetadata->Alloc(allocRequest, suballocType, *pAllocation); + (*pAllocation)->InitBlockAllocation( + pBlock, + allocRequest.allocHandle, + alignment, + allocRequest.size, // Not size, as actual allocation size may be larger than requested! + m_MemoryTypeIndex, + suballocType, + mapped); + VMA_HEAVY_ASSERT(pBlock->Validate()); + if (isUserDataString) + (*pAllocation)->SetName(m_hAllocator, (const char*)pUserData); + else + (*pAllocation)->SetUserData(m_hAllocator, pUserData); + m_hAllocator->m_Budget.AddAllocation(m_hAllocator->MemoryTypeIndexToHeapIndex(m_MemoryTypeIndex), allocRequest.size); + if (VMA_DEBUG_INITIALIZE_ALLOCATIONS) + { + m_hAllocator->FillAllocation(*pAllocation, VMA_ALLOCATION_FILL_PATTERN_CREATED); + } + if (IsCorruptionDetectionEnabled()) + { + VkResult res = pBlock->WriteMagicValueAfterAllocation(m_hAllocator, (*pAllocation)->GetOffset(), allocRequest.size); + VMA_ASSERT(res == VK_SUCCESS && "Couldn't map block memory to write magic value."); + } + return VK_SUCCESS; +} + +VkResult VmaBlockVector::CreateBlock(VkDeviceSize blockSize, size_t* pNewBlockIndex) +{ + VkMemoryAllocateInfo allocInfo = { VK_STRUCTURE_TYPE_MEMORY_ALLOCATE_INFO }; + allocInfo.pNext = m_pMemoryAllocateNext; + allocInfo.memoryTypeIndex = m_MemoryTypeIndex; + allocInfo.allocationSize = blockSize; + +#if VMA_BUFFER_DEVICE_ADDRESS + // Every standalone block can potentially contain a buffer with VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT - always enable the feature. + VkMemoryAllocateFlagsInfoKHR allocFlagsInfo = { VK_STRUCTURE_TYPE_MEMORY_ALLOCATE_FLAGS_INFO_KHR }; + if (m_hAllocator->m_UseKhrBufferDeviceAddress) + { + allocFlagsInfo.flags = VK_MEMORY_ALLOCATE_DEVICE_ADDRESS_BIT_KHR; + VmaPnextChainPushFront(&allocInfo, &allocFlagsInfo); + } +#endif // VMA_BUFFER_DEVICE_ADDRESS + +#if VMA_MEMORY_PRIORITY + VkMemoryPriorityAllocateInfoEXT priorityInfo = { VK_STRUCTURE_TYPE_MEMORY_PRIORITY_ALLOCATE_INFO_EXT }; + if (m_hAllocator->m_UseExtMemoryPriority) + { + VMA_ASSERT(m_Priority >= 0.f && m_Priority <= 1.f); + priorityInfo.priority = m_Priority; + VmaPnextChainPushFront(&allocInfo, &priorityInfo); + } +#endif // VMA_MEMORY_PRIORITY + +#if VMA_EXTERNAL_MEMORY + // Attach VkExportMemoryAllocateInfoKHR if necessary. + VkExportMemoryAllocateInfoKHR exportMemoryAllocInfo = { VK_STRUCTURE_TYPE_EXPORT_MEMORY_ALLOCATE_INFO_KHR }; + exportMemoryAllocInfo.handleTypes = m_hAllocator->GetExternalMemoryHandleTypeFlags(m_MemoryTypeIndex); + if (exportMemoryAllocInfo.handleTypes != 0) + { + VmaPnextChainPushFront(&allocInfo, &exportMemoryAllocInfo); + } +#endif // VMA_EXTERNAL_MEMORY + + VkDeviceMemory mem = VK_NULL_HANDLE; + VkResult res = m_hAllocator->AllocateVulkanMemory(&allocInfo, &mem); + if (res < 0) + { + return res; + } + + // New VkDeviceMemory successfully created. + + // Create new Allocation for it. + VmaDeviceMemoryBlock* const pBlock = vma_new(m_hAllocator, VmaDeviceMemoryBlock)(m_hAllocator); + pBlock->Init( + m_hAllocator, + m_hParentPool, + m_MemoryTypeIndex, + mem, + allocInfo.allocationSize, + m_NextBlockId++, + m_Algorithm, + m_BufferImageGranularity); + + m_Blocks.push_back(pBlock); + if (pNewBlockIndex != VMA_NULL) + { + *pNewBlockIndex = m_Blocks.size() - 1; + } + + return VK_SUCCESS; +} + +bool VmaBlockVector::HasEmptyBlock() +{ + for (size_t index = 0, count = m_Blocks.size(); index < count; ++index) + { + VmaDeviceMemoryBlock* const pBlock = m_Blocks[index]; + if (pBlock->m_pMetadata->IsEmpty()) + { + return true; + } + } + return false; +} + +#if VMA_STATS_STRING_ENABLED +void VmaBlockVector::PrintDetailedMap(class VmaJsonWriter& json) +{ + VmaMutexLockRead lock(m_Mutex, m_hAllocator->m_UseMutex); + + + json.BeginObject(); + for (size_t i = 0; i < m_Blocks.size(); ++i) + { + json.BeginString(); + json.ContinueString(m_Blocks[i]->GetId()); + json.EndString(); + + json.BeginObject(); + json.WriteString("MapRefCount"); + json.WriteNumber(m_Blocks[i]->GetMapRefCount()); + + m_Blocks[i]->m_pMetadata->PrintDetailedMap(json); + json.EndObject(); + } + json.EndObject(); +} +#endif // VMA_STATS_STRING_ENABLED + +VkResult VmaBlockVector::CheckCorruption() +{ + if (!IsCorruptionDetectionEnabled()) + { + return VK_ERROR_FEATURE_NOT_PRESENT; + } + + VmaMutexLockRead lock(m_Mutex, m_hAllocator->m_UseMutex); + for (uint32_t blockIndex = 0; blockIndex < m_Blocks.size(); ++blockIndex) + { + VmaDeviceMemoryBlock* const pBlock = m_Blocks[blockIndex]; + VMA_ASSERT(pBlock); + VkResult res = pBlock->CheckCorruption(m_hAllocator); + if (res != VK_SUCCESS) + { + return res; + } + } + return VK_SUCCESS; +} + +#endif // _VMA_BLOCK_VECTOR_FUNCTIONS + +#ifndef _VMA_DEFRAGMENTATION_CONTEXT_FUNCTIONS +VmaDefragmentationContext_T::VmaDefragmentationContext_T( + VmaAllocator hAllocator, + const VmaDefragmentationInfo& info) + : m_MaxPassBytes(info.maxBytesPerPass == 0 ? VK_WHOLE_SIZE : info.maxBytesPerPass), + m_MaxPassAllocations(info.maxAllocationsPerPass == 0 ? UINT32_MAX : info.maxAllocationsPerPass), + m_MoveAllocator(hAllocator->GetAllocationCallbacks()), + m_Moves(m_MoveAllocator) +{ + m_Algorithm = info.flags & VMA_DEFRAGMENTATION_FLAG_ALGORITHM_MASK; + + if (info.pool != VMA_NULL) + { + m_BlockVectorCount = 1; + m_PoolBlockVector = &info.pool->m_BlockVector; + m_pBlockVectors = &m_PoolBlockVector; + m_PoolBlockVector->SetIncrementalSort(false); + m_PoolBlockVector->SortByFreeSize(); + } + else + { + m_BlockVectorCount = hAllocator->GetMemoryTypeCount(); + m_PoolBlockVector = VMA_NULL; + m_pBlockVectors = hAllocator->m_pBlockVectors; + for (uint32_t i = 0; i < m_BlockVectorCount; ++i) + { + VmaBlockVector* vector = m_pBlockVectors[i]; + if (vector != VMA_NULL) + { + vector->SetIncrementalSort(false); + vector->SortByFreeSize(); + } + } + } + + switch (m_Algorithm) + { + case 0: // Default algorithm + m_Algorithm = VMA_DEFRAGMENTATION_FLAG_ALGORITHM_BALANCED_BIT; + m_AlgorithmState = vma_new_array(hAllocator, StateBalanced, m_BlockVectorCount); + break; + case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_BALANCED_BIT: + m_AlgorithmState = vma_new_array(hAllocator, StateBalanced, m_BlockVectorCount); + break; + case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT: + if (hAllocator->GetBufferImageGranularity() > 1) + { + m_AlgorithmState = vma_new_array(hAllocator, StateExtensive, m_BlockVectorCount); + } + break; + } +} + +VmaDefragmentationContext_T::~VmaDefragmentationContext_T() +{ + if (m_PoolBlockVector != VMA_NULL) + { + m_PoolBlockVector->SetIncrementalSort(true); + } + else + { + for (uint32_t i = 0; i < m_BlockVectorCount; ++i) + { + VmaBlockVector* vector = m_pBlockVectors[i]; + if (vector != VMA_NULL) + vector->SetIncrementalSort(true); + } + } + + if (m_AlgorithmState) + { + switch (m_Algorithm) + { + case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_BALANCED_BIT: + vma_delete_array(m_MoveAllocator.m_pCallbacks, reinterpret_cast(m_AlgorithmState), m_BlockVectorCount); + break; + case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT: + vma_delete_array(m_MoveAllocator.m_pCallbacks, reinterpret_cast(m_AlgorithmState), m_BlockVectorCount); + break; + default: + VMA_ASSERT(0); + } + } +} + +VkResult VmaDefragmentationContext_T::DefragmentPassBegin(VmaDefragmentationPassMoveInfo& moveInfo) +{ + if (m_PoolBlockVector != VMA_NULL) + { + VmaMutexLockWrite lock(m_PoolBlockVector->GetMutex(), m_PoolBlockVector->GetAllocator()->m_UseMutex); + + if (m_PoolBlockVector->GetBlockCount() > 1) + ComputeDefragmentation(*m_PoolBlockVector, 0); + else if (m_PoolBlockVector->GetBlockCount() == 1) + ReallocWithinBlock(*m_PoolBlockVector, m_PoolBlockVector->GetBlock(0)); + } + else + { + for (uint32_t i = 0; i < m_BlockVectorCount; ++i) + { + if (m_pBlockVectors[i] != VMA_NULL) + { + VmaMutexLockWrite lock(m_pBlockVectors[i]->GetMutex(), m_pBlockVectors[i]->GetAllocator()->m_UseMutex); + + if (m_pBlockVectors[i]->GetBlockCount() > 1) + { + if (ComputeDefragmentation(*m_pBlockVectors[i], i)) + break; + } + else if (m_pBlockVectors[i]->GetBlockCount() == 1) + { + if (ReallocWithinBlock(*m_pBlockVectors[i], m_pBlockVectors[i]->GetBlock(0))) + break; + } + } + } + } + + moveInfo.moveCount = static_cast(m_Moves.size()); + if (moveInfo.moveCount > 0) + { + moveInfo.pMoves = m_Moves.data(); + return VK_INCOMPLETE; + } + + moveInfo.pMoves = VMA_NULL; + return VK_SUCCESS; +} + +VkResult VmaDefragmentationContext_T::DefragmentPassEnd(VmaDefragmentationPassMoveInfo& moveInfo) +{ + VMA_ASSERT(moveInfo.moveCount > 0 ? moveInfo.pMoves != VMA_NULL : true); + + VkResult result = VK_SUCCESS; + VmaStlAllocator blockAllocator(m_MoveAllocator.m_pCallbacks); + VmaVector> immovableBlocks(blockAllocator); + VmaVector> mappedBlocks(blockAllocator); + + VmaAllocator allocator = VMA_NULL; + for (uint32_t i = 0; i < moveInfo.moveCount; ++i) + { + VmaDefragmentationMove& move = moveInfo.pMoves[i]; + size_t prevCount = 0, currentCount = 0; + VkDeviceSize freedBlockSize = 0; + + uint32_t vectorIndex; + VmaBlockVector* vector; + if (m_PoolBlockVector != VMA_NULL) + { + vectorIndex = 0; + vector = m_PoolBlockVector; + } + else + { + vectorIndex = move.srcAllocation->GetMemoryTypeIndex(); + vector = m_pBlockVectors[vectorIndex]; + VMA_ASSERT(vector != VMA_NULL); + } + + switch (move.operation) + { + case VMA_DEFRAGMENTATION_MOVE_OPERATION_COPY: + { + uint8_t mapCount = move.srcAllocation->SwapBlockAllocation(vector->m_hAllocator, move.dstTmpAllocation); + if (mapCount > 0) + { + allocator = vector->m_hAllocator; + VmaDeviceMemoryBlock* newMapBlock = move.srcAllocation->GetBlock(); + bool notPresent = true; + for (FragmentedBlock& block : mappedBlocks) + { + if (block.block == newMapBlock) + { + notPresent = false; + block.data += mapCount; + break; + } + } + if (notPresent) + mappedBlocks.push_back({ mapCount, newMapBlock }); + } + + // Scope for locks, Free have it's own lock + { + VmaMutexLockRead lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); + prevCount = vector->GetBlockCount(); + freedBlockSize = move.dstTmpAllocation->GetBlock()->m_pMetadata->GetSize(); + } + vector->Free(move.dstTmpAllocation); + { + VmaMutexLockRead lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); + currentCount = vector->GetBlockCount(); + } + + result = VK_INCOMPLETE; + break; + } + case VMA_DEFRAGMENTATION_MOVE_OPERATION_IGNORE: + { + m_PassStats.bytesMoved -= move.srcAllocation->GetSize(); + --m_PassStats.allocationsMoved; + vector->Free(move.dstTmpAllocation); + + VmaDeviceMemoryBlock* newBlock = move.srcAllocation->GetBlock(); + bool notPresent = true; + for (const FragmentedBlock& block : immovableBlocks) + { + if (block.block == newBlock) + { + notPresent = false; + break; + } + } + if (notPresent) + immovableBlocks.push_back({ vectorIndex, newBlock }); + break; + } + case VMA_DEFRAGMENTATION_MOVE_OPERATION_DESTROY: + { + m_PassStats.bytesMoved -= move.srcAllocation->GetSize(); + --m_PassStats.allocationsMoved; + // Scope for locks, Free have it's own lock + { + VmaMutexLockRead lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); + prevCount = vector->GetBlockCount(); + freedBlockSize = move.srcAllocation->GetBlock()->m_pMetadata->GetSize(); + } + vector->Free(move.srcAllocation); + { + VmaMutexLockRead lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); + currentCount = vector->GetBlockCount(); + } + freedBlockSize *= prevCount - currentCount; + + VkDeviceSize dstBlockSize; + { + VmaMutexLockRead lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); + dstBlockSize = move.dstTmpAllocation->GetBlock()->m_pMetadata->GetSize(); + } + vector->Free(move.dstTmpAllocation); + { + VmaMutexLockRead lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); + freedBlockSize += dstBlockSize * (currentCount - vector->GetBlockCount()); + currentCount = vector->GetBlockCount(); + } + + result = VK_INCOMPLETE; + break; + } + default: + VMA_ASSERT(0); + } + + if (prevCount > currentCount) + { + size_t freedBlocks = prevCount - currentCount; + m_PassStats.deviceMemoryBlocksFreed += static_cast(freedBlocks); + m_PassStats.bytesFreed += freedBlockSize; + } + + if(m_Algorithm == VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT && + m_AlgorithmState != VMA_NULL) + { + // Avoid unnecessary tries to allocate when new free block is available + StateExtensive& state = reinterpret_cast(m_AlgorithmState)[vectorIndex]; + if (state.firstFreeBlock != SIZE_MAX) + { + const size_t diff = prevCount - currentCount; + if (state.firstFreeBlock >= diff) + { + state.firstFreeBlock -= diff; + if (state.firstFreeBlock != 0) + state.firstFreeBlock -= vector->GetBlock(state.firstFreeBlock - 1)->m_pMetadata->IsEmpty(); + } + else + state.firstFreeBlock = 0; + } + } + } + moveInfo.moveCount = 0; + moveInfo.pMoves = VMA_NULL; + m_Moves.clear(); + + // Update stats + m_GlobalStats.allocationsMoved += m_PassStats.allocationsMoved; + m_GlobalStats.bytesFreed += m_PassStats.bytesFreed; + m_GlobalStats.bytesMoved += m_PassStats.bytesMoved; + m_GlobalStats.deviceMemoryBlocksFreed += m_PassStats.deviceMemoryBlocksFreed; + m_PassStats = { 0 }; + + // Move blocks with immovable allocations according to algorithm + if (immovableBlocks.size() > 0) + { + do + { + if(m_Algorithm == VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT) + { + if (m_AlgorithmState != VMA_NULL) + { + bool swapped = false; + // Move to the start of free blocks range + for (const FragmentedBlock& block : immovableBlocks) + { + StateExtensive& state = reinterpret_cast(m_AlgorithmState)[block.data]; + if (state.operation != StateExtensive::Operation::Cleanup) + { + VmaBlockVector* vector = m_pBlockVectors[block.data]; + VmaMutexLockWrite lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); + + for (size_t i = 0, count = vector->GetBlockCount() - m_ImmovableBlockCount; i < count; ++i) + { + if (vector->GetBlock(i) == block.block) + { + VMA_SWAP(vector->m_Blocks[i], vector->m_Blocks[vector->GetBlockCount() - ++m_ImmovableBlockCount]); + if (state.firstFreeBlock != SIZE_MAX) + { + if (i + 1 < state.firstFreeBlock) + { + if (state.firstFreeBlock > 1) + VMA_SWAP(vector->m_Blocks[i], vector->m_Blocks[--state.firstFreeBlock]); + else + --state.firstFreeBlock; + } + } + swapped = true; + break; + } + } + } + } + if (swapped) + result = VK_INCOMPLETE; + break; + } + } + + // Move to the beginning + for (const FragmentedBlock& block : immovableBlocks) + { + VmaBlockVector* vector = m_pBlockVectors[block.data]; + VmaMutexLockWrite lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); + + for (size_t i = m_ImmovableBlockCount; i < vector->GetBlockCount(); ++i) + { + if (vector->GetBlock(i) == block.block) + { + VMA_SWAP(vector->m_Blocks[i], vector->m_Blocks[m_ImmovableBlockCount++]); + break; + } + } + } + } while (false); + } + + // Bulk-map destination blocks + for (const FragmentedBlock& block : mappedBlocks) + { + VkResult res = block.block->Map(allocator, block.data, VMA_NULL); + VMA_ASSERT(res == VK_SUCCESS); + } + return result; +} + +bool VmaDefragmentationContext_T::ComputeDefragmentation(VmaBlockVector& vector, size_t index) +{ + switch (m_Algorithm) + { + case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FAST_BIT: + return ComputeDefragmentation_Fast(vector); + case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_BALANCED_BIT: + return ComputeDefragmentation_Balanced(vector, index, true); + case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FULL_BIT: + return ComputeDefragmentation_Full(vector); + case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT: + return ComputeDefragmentation_Extensive(vector, index); + default: + VMA_ASSERT(0); + return ComputeDefragmentation_Balanced(vector, index, true); + } +} + +VmaDefragmentationContext_T::MoveAllocationData VmaDefragmentationContext_T::GetMoveData( + VmaAllocHandle handle, VmaBlockMetadata* metadata) +{ + MoveAllocationData moveData; + moveData.move.srcAllocation = (VmaAllocation)metadata->GetAllocationUserData(handle); + moveData.size = moveData.move.srcAllocation->GetSize(); + moveData.alignment = moveData.move.srcAllocation->GetAlignment(); + moveData.type = moveData.move.srcAllocation->GetSuballocationType(); + moveData.flags = 0; + + if (moveData.move.srcAllocation->IsPersistentMap()) + moveData.flags |= VMA_ALLOCATION_CREATE_MAPPED_BIT; + if (moveData.move.srcAllocation->IsMappingAllowed()) + moveData.flags |= VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT; + + return moveData; +} + +VmaDefragmentationContext_T::CounterStatus VmaDefragmentationContext_T::CheckCounters(VkDeviceSize bytes) +{ + // Ignore allocation if will exceed max size for copy + if (m_PassStats.bytesMoved + bytes > m_MaxPassBytes) + { + if (++m_IgnoredAllocs < MAX_ALLOCS_TO_IGNORE) + return CounterStatus::Ignore; + else + return CounterStatus::End; + } + else + m_IgnoredAllocs = 0; + return CounterStatus::Pass; +} + +bool VmaDefragmentationContext_T::IncrementCounters(VkDeviceSize bytes) +{ + m_PassStats.bytesMoved += bytes; + // Early return when max found + if (++m_PassStats.allocationsMoved >= m_MaxPassAllocations || m_PassStats.bytesMoved >= m_MaxPassBytes) + { + VMA_ASSERT((m_PassStats.allocationsMoved == m_MaxPassAllocations || + m_PassStats.bytesMoved == m_MaxPassBytes) && "Exceeded maximal pass threshold!"); + return true; + } + return false; +} + +bool VmaDefragmentationContext_T::ReallocWithinBlock(VmaBlockVector& vector, VmaDeviceMemoryBlock* block) +{ + VmaBlockMetadata* metadata = block->m_pMetadata; + + for (VmaAllocHandle handle = metadata->GetAllocationListBegin(); + handle != VK_NULL_HANDLE; + handle = metadata->GetNextAllocation(handle)) + { + MoveAllocationData moveData = GetMoveData(handle, metadata); + // Ignore newly created allocations by defragmentation algorithm + if (moveData.move.srcAllocation->GetUserData() == this) + continue; + switch (CheckCounters(moveData.move.srcAllocation->GetSize())) + { + case CounterStatus::Ignore: + continue; + case CounterStatus::End: + return true; + case CounterStatus::Pass: + break; + default: + VMA_ASSERT(0); + } + + VkDeviceSize offset = moveData.move.srcAllocation->GetOffset(); + if (offset != 0 && metadata->GetSumFreeSize() >= moveData.size) + { + VmaAllocationRequest request = {}; + if (metadata->CreateAllocationRequest( + moveData.size, + moveData.alignment, + false, + moveData.type, + VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT, + &request)) + { + if (metadata->GetAllocationOffset(request.allocHandle) < offset) + { + if (vector.CommitAllocationRequest( + request, + block, + moveData.alignment, + moveData.flags, + this, + moveData.type, + &moveData.move.dstTmpAllocation) == VK_SUCCESS) + { + m_Moves.push_back(moveData.move); + if (IncrementCounters(moveData.size)) + return true; + } + } + } + } + } + return false; +} + +bool VmaDefragmentationContext_T::AllocInOtherBlock(size_t start, size_t end, MoveAllocationData& data, VmaBlockVector& vector) +{ + for (; start < end; ++start) + { + VmaDeviceMemoryBlock* dstBlock = vector.GetBlock(start); + if (dstBlock->m_pMetadata->GetSumFreeSize() >= data.size) + { + if (vector.AllocateFromBlock(dstBlock, + data.size, + data.alignment, + data.flags, + this, + data.type, + 0, + &data.move.dstTmpAllocation) == VK_SUCCESS) + { + m_Moves.push_back(data.move); + if (IncrementCounters(data.size)) + return true; + break; + } + } + } + return false; +} + +bool VmaDefragmentationContext_T::ComputeDefragmentation_Fast(VmaBlockVector& vector) +{ + // Move only between blocks + + // Go through allocations in last blocks and try to fit them inside first ones + for (size_t i = vector.GetBlockCount() - 1; i > m_ImmovableBlockCount; --i) + { + VmaBlockMetadata* metadata = vector.GetBlock(i)->m_pMetadata; + + for (VmaAllocHandle handle = metadata->GetAllocationListBegin(); + handle != VK_NULL_HANDLE; + handle = metadata->GetNextAllocation(handle)) + { + MoveAllocationData moveData = GetMoveData(handle, metadata); + // Ignore newly created allocations by defragmentation algorithm + if (moveData.move.srcAllocation->GetUserData() == this) + continue; + switch (CheckCounters(moveData.move.srcAllocation->GetSize())) + { + case CounterStatus::Ignore: + continue; + case CounterStatus::End: + return true; + case CounterStatus::Pass: + break; + default: + VMA_ASSERT(0); + } + + // Check all previous blocks for free space + if (AllocInOtherBlock(0, i, moveData, vector)) + return true; + } + } + return false; +} + +bool VmaDefragmentationContext_T::ComputeDefragmentation_Balanced(VmaBlockVector& vector, size_t index, bool update) +{ + // Go over every allocation and try to fit it in previous blocks at lowest offsets, + // if not possible: realloc within single block to minimize offset (exclude offset == 0), + // but only if there are noticeable gaps between them (some heuristic, ex. average size of allocation in block) + VMA_ASSERT(m_AlgorithmState != VMA_NULL); + + StateBalanced& vectorState = reinterpret_cast(m_AlgorithmState)[index]; + if (update && vectorState.avgAllocSize == UINT64_MAX) + UpdateVectorStatistics(vector, vectorState); + + const size_t startMoveCount = m_Moves.size(); + VkDeviceSize minimalFreeRegion = vectorState.avgFreeSize / 2; + for (size_t i = vector.GetBlockCount() - 1; i > m_ImmovableBlockCount; --i) + { + VmaDeviceMemoryBlock* block = vector.GetBlock(i); + VmaBlockMetadata* metadata = block->m_pMetadata; + VkDeviceSize prevFreeRegionSize = 0; + + for (VmaAllocHandle handle = metadata->GetAllocationListBegin(); + handle != VK_NULL_HANDLE; + handle = metadata->GetNextAllocation(handle)) + { + MoveAllocationData moveData = GetMoveData(handle, metadata); + // Ignore newly created allocations by defragmentation algorithm + if (moveData.move.srcAllocation->GetUserData() == this) + continue; + switch (CheckCounters(moveData.move.srcAllocation->GetSize())) + { + case CounterStatus::Ignore: + continue; + case CounterStatus::End: + return true; + case CounterStatus::Pass: + break; + default: + VMA_ASSERT(0); + } + + // Check all previous blocks for free space + const size_t prevMoveCount = m_Moves.size(); + if (AllocInOtherBlock(0, i, moveData, vector)) + return true; + + VkDeviceSize nextFreeRegionSize = metadata->GetNextFreeRegionSize(handle); + // If no room found then realloc within block for lower offset + VkDeviceSize offset = moveData.move.srcAllocation->GetOffset(); + if (prevMoveCount == m_Moves.size() && offset != 0 && metadata->GetSumFreeSize() >= moveData.size) + { + // Check if realloc will make sense + if (prevFreeRegionSize >= minimalFreeRegion || + nextFreeRegionSize >= minimalFreeRegion || + moveData.size <= vectorState.avgFreeSize || + moveData.size <= vectorState.avgAllocSize) + { + VmaAllocationRequest request = {}; + if (metadata->CreateAllocationRequest( + moveData.size, + moveData.alignment, + false, + moveData.type, + VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT, + &request)) + { + if (metadata->GetAllocationOffset(request.allocHandle) < offset) + { + if (vector.CommitAllocationRequest( + request, + block, + moveData.alignment, + moveData.flags, + this, + moveData.type, + &moveData.move.dstTmpAllocation) == VK_SUCCESS) + { + m_Moves.push_back(moveData.move); + if (IncrementCounters(moveData.size)) + return true; + } + } + } + } + } + prevFreeRegionSize = nextFreeRegionSize; + } + } + + // No moves performed, update statistics to current vector state + if (startMoveCount == m_Moves.size() && !update) + { + vectorState.avgAllocSize = UINT64_MAX; + return ComputeDefragmentation_Balanced(vector, index, false); + } + return false; +} + +bool VmaDefragmentationContext_T::ComputeDefragmentation_Full(VmaBlockVector& vector) +{ + // Go over every allocation and try to fit it in previous blocks at lowest offsets, + // if not possible: realloc within single block to minimize offset (exclude offset == 0) + + for (size_t i = vector.GetBlockCount() - 1; i > m_ImmovableBlockCount; --i) + { + VmaDeviceMemoryBlock* block = vector.GetBlock(i); + VmaBlockMetadata* metadata = block->m_pMetadata; + + for (VmaAllocHandle handle = metadata->GetAllocationListBegin(); + handle != VK_NULL_HANDLE; + handle = metadata->GetNextAllocation(handle)) + { + MoveAllocationData moveData = GetMoveData(handle, metadata); + // Ignore newly created allocations by defragmentation algorithm + if (moveData.move.srcAllocation->GetUserData() == this) + continue; + switch (CheckCounters(moveData.move.srcAllocation->GetSize())) + { + case CounterStatus::Ignore: + continue; + case CounterStatus::End: + return true; + case CounterStatus::Pass: + break; + default: + VMA_ASSERT(0); + } + + // Check all previous blocks for free space + const size_t prevMoveCount = m_Moves.size(); + if (AllocInOtherBlock(0, i, moveData, vector)) + return true; + + // If no room found then realloc within block for lower offset + VkDeviceSize offset = moveData.move.srcAllocation->GetOffset(); + if (prevMoveCount == m_Moves.size() && offset != 0 && metadata->GetSumFreeSize() >= moveData.size) + { + VmaAllocationRequest request = {}; + if (metadata->CreateAllocationRequest( + moveData.size, + moveData.alignment, + false, + moveData.type, + VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT, + &request)) + { + if (metadata->GetAllocationOffset(request.allocHandle) < offset) + { + if (vector.CommitAllocationRequest( + request, + block, + moveData.alignment, + moveData.flags, + this, + moveData.type, + &moveData.move.dstTmpAllocation) == VK_SUCCESS) + { + m_Moves.push_back(moveData.move); + if (IncrementCounters(moveData.size)) + return true; + } + } + } + } + } + } + return false; +} + +bool VmaDefragmentationContext_T::ComputeDefragmentation_Extensive(VmaBlockVector& vector, size_t index) +{ + // First free single block, then populate it to the brim, then free another block, and so on + + // Fallback to previous algorithm since without granularity conflicts it can achieve max packing + if (vector.m_BufferImageGranularity == 1) + return ComputeDefragmentation_Full(vector); + + VMA_ASSERT(m_AlgorithmState != VMA_NULL); + + StateExtensive& vectorState = reinterpret_cast(m_AlgorithmState)[index]; + + bool texturePresent = false, bufferPresent = false, otherPresent = false; + switch (vectorState.operation) + { + case StateExtensive::Operation::Done: // Vector defragmented + return false; + case StateExtensive::Operation::FindFreeBlockBuffer: + case StateExtensive::Operation::FindFreeBlockTexture: + case StateExtensive::Operation::FindFreeBlockAll: + { + // No more blocks to free, just perform fast realloc and move to cleanup + if (vectorState.firstFreeBlock == 0) + { + vectorState.operation = StateExtensive::Operation::Cleanup; + return ComputeDefragmentation_Fast(vector); + } + + // No free blocks, have to clear last one + size_t last = (vectorState.firstFreeBlock == SIZE_MAX ? vector.GetBlockCount() : vectorState.firstFreeBlock) - 1; + VmaBlockMetadata* freeMetadata = vector.GetBlock(last)->m_pMetadata; + + const size_t prevMoveCount = m_Moves.size(); + for (VmaAllocHandle handle = freeMetadata->GetAllocationListBegin(); + handle != VK_NULL_HANDLE; + handle = freeMetadata->GetNextAllocation(handle)) + { + MoveAllocationData moveData = GetMoveData(handle, freeMetadata); + switch (CheckCounters(moveData.move.srcAllocation->GetSize())) + { + case CounterStatus::Ignore: + continue; + case CounterStatus::End: + return true; + case CounterStatus::Pass: + break; + default: + VMA_ASSERT(0); + } + + // Check all previous blocks for free space + if (AllocInOtherBlock(0, last, moveData, vector)) + { + // Full clear performed already + if (prevMoveCount != m_Moves.size() && freeMetadata->GetNextAllocation(handle) == VK_NULL_HANDLE) + vectorState.firstFreeBlock = last; + return true; + } + } + + if (prevMoveCount == m_Moves.size()) + { + // Cannot perform full clear, have to move data in other blocks around + if (last != 0) + { + for (size_t i = last - 1; i; --i) + { + if (ReallocWithinBlock(vector, vector.GetBlock(i))) + return true; + } + } + + if (prevMoveCount == m_Moves.size()) + { + // No possible reallocs within blocks, try to move them around fast + return ComputeDefragmentation_Fast(vector); + } + } + else + { + switch (vectorState.operation) + { + case StateExtensive::Operation::FindFreeBlockBuffer: + vectorState.operation = StateExtensive::Operation::MoveBuffers; + break; + case StateExtensive::Operation::FindFreeBlockTexture: + vectorState.operation = StateExtensive::Operation::MoveTextures; + break; + case StateExtensive::Operation::FindFreeBlockAll: + vectorState.operation = StateExtensive::Operation::MoveAll; + break; + default: + VMA_ASSERT(0); + vectorState.operation = StateExtensive::Operation::MoveTextures; + } + vectorState.firstFreeBlock = last; + // Nothing done, block found without reallocations, can perform another reallocs in same pass + return ComputeDefragmentation_Extensive(vector, index); + } + break; + } + case StateExtensive::Operation::MoveTextures: + { + if (MoveDataToFreeBlocks(VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL, vector, + vectorState.firstFreeBlock, texturePresent, bufferPresent, otherPresent)) + { + if (texturePresent) + { + vectorState.operation = StateExtensive::Operation::FindFreeBlockTexture; + return ComputeDefragmentation_Extensive(vector, index); + } + + if (!bufferPresent && !otherPresent) + { + vectorState.operation = StateExtensive::Operation::Cleanup; + break; + } + + // No more textures to move, check buffers + vectorState.operation = StateExtensive::Operation::MoveBuffers; + bufferPresent = false; + otherPresent = false; + } + else + break; + VMA_FALLTHROUGH; // Fallthrough + } + case StateExtensive::Operation::MoveBuffers: + { + if (MoveDataToFreeBlocks(VMA_SUBALLOCATION_TYPE_BUFFER, vector, + vectorState.firstFreeBlock, texturePresent, bufferPresent, otherPresent)) + { + if (bufferPresent) + { + vectorState.operation = StateExtensive::Operation::FindFreeBlockBuffer; + return ComputeDefragmentation_Extensive(vector, index); + } + + if (!otherPresent) + { + vectorState.operation = StateExtensive::Operation::Cleanup; + break; + } + + // No more buffers to move, check all others + vectorState.operation = StateExtensive::Operation::MoveAll; + otherPresent = false; + } + else + break; + VMA_FALLTHROUGH; // Fallthrough + } + case StateExtensive::Operation::MoveAll: + { + if (MoveDataToFreeBlocks(VMA_SUBALLOCATION_TYPE_FREE, vector, + vectorState.firstFreeBlock, texturePresent, bufferPresent, otherPresent)) + { + if (otherPresent) + { + vectorState.operation = StateExtensive::Operation::FindFreeBlockBuffer; + return ComputeDefragmentation_Extensive(vector, index); + } + // Everything moved + vectorState.operation = StateExtensive::Operation::Cleanup; + } + break; + } + case StateExtensive::Operation::Cleanup: + // Cleanup is handled below so that other operations may reuse the cleanup code. This case is here to prevent the unhandled enum value warning (C4062). + break; + } + + if (vectorState.operation == StateExtensive::Operation::Cleanup) + { + // All other work done, pack data in blocks even tighter if possible + const size_t prevMoveCount = m_Moves.size(); + for (size_t i = 0; i < vector.GetBlockCount(); ++i) + { + if (ReallocWithinBlock(vector, vector.GetBlock(i))) + return true; + } + + if (prevMoveCount == m_Moves.size()) + vectorState.operation = StateExtensive::Operation::Done; + } + return false; +} + +void VmaDefragmentationContext_T::UpdateVectorStatistics(VmaBlockVector& vector, StateBalanced& state) +{ + size_t allocCount = 0; + size_t freeCount = 0; + state.avgFreeSize = 0; + state.avgAllocSize = 0; + + for (size_t i = 0; i < vector.GetBlockCount(); ++i) + { + VmaBlockMetadata* metadata = vector.GetBlock(i)->m_pMetadata; + + allocCount += metadata->GetAllocationCount(); + freeCount += metadata->GetFreeRegionsCount(); + state.avgFreeSize += metadata->GetSumFreeSize(); + state.avgAllocSize += metadata->GetSize(); + } + + state.avgAllocSize = (state.avgAllocSize - state.avgFreeSize) / allocCount; + state.avgFreeSize /= freeCount; +} + +bool VmaDefragmentationContext_T::MoveDataToFreeBlocks(VmaSuballocationType currentType, + VmaBlockVector& vector, size_t firstFreeBlock, + bool& texturePresent, bool& bufferPresent, bool& otherPresent) +{ + const size_t prevMoveCount = m_Moves.size(); + for (size_t i = firstFreeBlock ; i;) + { + VmaDeviceMemoryBlock* block = vector.GetBlock(--i); + VmaBlockMetadata* metadata = block->m_pMetadata; + + for (VmaAllocHandle handle = metadata->GetAllocationListBegin(); + handle != VK_NULL_HANDLE; + handle = metadata->GetNextAllocation(handle)) + { + MoveAllocationData moveData = GetMoveData(handle, metadata); + // Ignore newly created allocations by defragmentation algorithm + if (moveData.move.srcAllocation->GetUserData() == this) + continue; + switch (CheckCounters(moveData.move.srcAllocation->GetSize())) + { + case CounterStatus::Ignore: + continue; + case CounterStatus::End: + return true; + case CounterStatus::Pass: + break; + default: + VMA_ASSERT(0); + } + + // Move only single type of resources at once + if (!VmaIsBufferImageGranularityConflict(moveData.type, currentType)) + { + // Try to fit allocation into free blocks + if (AllocInOtherBlock(firstFreeBlock, vector.GetBlockCount(), moveData, vector)) + return false; + } + + if (!VmaIsBufferImageGranularityConflict(moveData.type, VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL)) + texturePresent = true; + else if (!VmaIsBufferImageGranularityConflict(moveData.type, VMA_SUBALLOCATION_TYPE_BUFFER)) + bufferPresent = true; + else + otherPresent = true; + } + } + return prevMoveCount == m_Moves.size(); +} +#endif // _VMA_DEFRAGMENTATION_CONTEXT_FUNCTIONS + +#ifndef _VMA_POOL_T_FUNCTIONS +VmaPool_T::VmaPool_T( + VmaAllocator hAllocator, + const VmaPoolCreateInfo& createInfo, + VkDeviceSize preferredBlockSize) + : m_BlockVector( + hAllocator, + this, // hParentPool + createInfo.memoryTypeIndex, + createInfo.blockSize != 0 ? createInfo.blockSize : preferredBlockSize, + createInfo.minBlockCount, + createInfo.maxBlockCount, + (createInfo.flags& VMA_POOL_CREATE_IGNORE_BUFFER_IMAGE_GRANULARITY_BIT) != 0 ? 1 : hAllocator->GetBufferImageGranularity(), + createInfo.blockSize != 0, // explicitBlockSize + createInfo.flags & VMA_POOL_CREATE_ALGORITHM_MASK, // algorithm + createInfo.priority, + VMA_MAX(hAllocator->GetMemoryTypeMinAlignment(createInfo.memoryTypeIndex), createInfo.minAllocationAlignment), + createInfo.pMemoryAllocateNext), + m_Id(0), + m_Name(VMA_NULL) {} + +VmaPool_T::~VmaPool_T() +{ + VMA_ASSERT(m_PrevPool == VMA_NULL && m_NextPool == VMA_NULL); +} + +void VmaPool_T::SetName(const char* pName) +{ + const VkAllocationCallbacks* allocs = m_BlockVector.GetAllocator()->GetAllocationCallbacks(); + VmaFreeString(allocs, m_Name); + + if (pName != VMA_NULL) + { + m_Name = VmaCreateStringCopy(allocs, pName); + } + else + { + m_Name = VMA_NULL; + } +} +#endif // _VMA_POOL_T_FUNCTIONS + +#ifndef _VMA_ALLOCATOR_T_FUNCTIONS +VmaAllocator_T::VmaAllocator_T(const VmaAllocatorCreateInfo* pCreateInfo) : + m_UseMutex((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_EXTERNALLY_SYNCHRONIZED_BIT) == 0), + m_VulkanApiVersion(pCreateInfo->vulkanApiVersion != 0 ? pCreateInfo->vulkanApiVersion : VK_API_VERSION_1_0), + m_UseKhrDedicatedAllocation((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT) != 0), + m_UseKhrBindMemory2((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_KHR_BIND_MEMORY2_BIT) != 0), + m_UseExtMemoryBudget((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_EXT_MEMORY_BUDGET_BIT) != 0), + m_UseAmdDeviceCoherentMemory((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_AMD_DEVICE_COHERENT_MEMORY_BIT) != 0), + m_UseKhrBufferDeviceAddress((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT) != 0), + m_UseExtMemoryPriority((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_EXT_MEMORY_PRIORITY_BIT) != 0), + m_hDevice(pCreateInfo->device), + m_hInstance(pCreateInfo->instance), + m_AllocationCallbacksSpecified(pCreateInfo->pAllocationCallbacks != VMA_NULL), + m_AllocationCallbacks(pCreateInfo->pAllocationCallbacks ? + *pCreateInfo->pAllocationCallbacks : VmaEmptyAllocationCallbacks), + m_AllocationObjectAllocator(&m_AllocationCallbacks), + m_HeapSizeLimitMask(0), + m_DeviceMemoryCount(0), + m_PreferredLargeHeapBlockSize(0), + m_PhysicalDevice(pCreateInfo->physicalDevice), + m_GpuDefragmentationMemoryTypeBits(UINT32_MAX), + m_NextPoolId(0), + m_GlobalMemoryTypeBits(UINT32_MAX) +{ + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) + { + m_UseKhrDedicatedAllocation = false; + m_UseKhrBindMemory2 = false; + } + + if(VMA_DEBUG_DETECT_CORRUPTION) + { + // Needs to be multiply of uint32_t size because we are going to write VMA_CORRUPTION_DETECTION_MAGIC_VALUE to it. + VMA_ASSERT(VMA_DEBUG_MARGIN % sizeof(uint32_t) == 0); + } + + VMA_ASSERT(pCreateInfo->physicalDevice && pCreateInfo->device && pCreateInfo->instance); + + if(m_VulkanApiVersion < VK_MAKE_VERSION(1, 1, 0)) + { +#if !(VMA_DEDICATED_ALLOCATION) + if((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT) != 0) + { + VMA_ASSERT(0 && "VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT set but required extensions are disabled by preprocessor macros."); + } +#endif +#if !(VMA_BIND_MEMORY2) + if((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_KHR_BIND_MEMORY2_BIT) != 0) + { + VMA_ASSERT(0 && "VMA_ALLOCATOR_CREATE_KHR_BIND_MEMORY2_BIT set but required extension is disabled by preprocessor macros."); + } +#endif + } +#if !(VMA_MEMORY_BUDGET) + if((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_EXT_MEMORY_BUDGET_BIT) != 0) + { + VMA_ASSERT(0 && "VMA_ALLOCATOR_CREATE_EXT_MEMORY_BUDGET_BIT set but required extension is disabled by preprocessor macros."); + } +#endif +#if !(VMA_BUFFER_DEVICE_ADDRESS) + if(m_UseKhrBufferDeviceAddress) + { + VMA_ASSERT(0 && "VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT is set but required extension or Vulkan 1.2 is not available in your Vulkan header or its support in VMA has been disabled by a preprocessor macro."); + } +#endif +#if VMA_VULKAN_VERSION < 1003000 + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 3, 0)) + { + VMA_ASSERT(0 && "vulkanApiVersion >= VK_API_VERSION_1_3 but required Vulkan version is disabled by preprocessor macros."); + } +#endif +#if VMA_VULKAN_VERSION < 1002000 + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 2, 0)) + { + VMA_ASSERT(0 && "vulkanApiVersion >= VK_API_VERSION_1_2 but required Vulkan version is disabled by preprocessor macros."); + } +#endif +#if VMA_VULKAN_VERSION < 1001000 + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) + { + VMA_ASSERT(0 && "vulkanApiVersion >= VK_API_VERSION_1_1 but required Vulkan version is disabled by preprocessor macros."); + } +#endif +#if !(VMA_MEMORY_PRIORITY) + if(m_UseExtMemoryPriority) + { + VMA_ASSERT(0 && "VMA_ALLOCATOR_CREATE_EXT_MEMORY_PRIORITY_BIT is set but required extension is not available in your Vulkan header or its support in VMA has been disabled by a preprocessor macro."); + } +#endif + + memset(&m_DeviceMemoryCallbacks, 0 ,sizeof(m_DeviceMemoryCallbacks)); + memset(&m_PhysicalDeviceProperties, 0, sizeof(m_PhysicalDeviceProperties)); + memset(&m_MemProps, 0, sizeof(m_MemProps)); + + memset(&m_pBlockVectors, 0, sizeof(m_pBlockVectors)); + memset(&m_VulkanFunctions, 0, sizeof(m_VulkanFunctions)); + +#if VMA_EXTERNAL_MEMORY + memset(&m_TypeExternalMemoryHandleTypes, 0, sizeof(m_TypeExternalMemoryHandleTypes)); +#endif // #if VMA_EXTERNAL_MEMORY + + if(pCreateInfo->pDeviceMemoryCallbacks != VMA_NULL) + { + m_DeviceMemoryCallbacks.pUserData = pCreateInfo->pDeviceMemoryCallbacks->pUserData; + m_DeviceMemoryCallbacks.pfnAllocate = pCreateInfo->pDeviceMemoryCallbacks->pfnAllocate; + m_DeviceMemoryCallbacks.pfnFree = pCreateInfo->pDeviceMemoryCallbacks->pfnFree; + } + + ImportVulkanFunctions(pCreateInfo->pVulkanFunctions); + + (*m_VulkanFunctions.vkGetPhysicalDeviceProperties)(m_PhysicalDevice, &m_PhysicalDeviceProperties); + (*m_VulkanFunctions.vkGetPhysicalDeviceMemoryProperties)(m_PhysicalDevice, &m_MemProps); + + VMA_ASSERT(VmaIsPow2(VMA_MIN_ALIGNMENT)); + VMA_ASSERT(VmaIsPow2(VMA_DEBUG_MIN_BUFFER_IMAGE_GRANULARITY)); + VMA_ASSERT(VmaIsPow2(m_PhysicalDeviceProperties.limits.bufferImageGranularity)); + VMA_ASSERT(VmaIsPow2(m_PhysicalDeviceProperties.limits.nonCoherentAtomSize)); + + m_PreferredLargeHeapBlockSize = (pCreateInfo->preferredLargeHeapBlockSize != 0) ? + pCreateInfo->preferredLargeHeapBlockSize : static_cast(VMA_DEFAULT_LARGE_HEAP_BLOCK_SIZE); + + m_GlobalMemoryTypeBits = CalculateGlobalMemoryTypeBits(); + +#if VMA_EXTERNAL_MEMORY + if(pCreateInfo->pTypeExternalMemoryHandleTypes != VMA_NULL) + { + memcpy(m_TypeExternalMemoryHandleTypes, pCreateInfo->pTypeExternalMemoryHandleTypes, + sizeof(VkExternalMemoryHandleTypeFlagsKHR) * GetMemoryTypeCount()); + } +#endif // #if VMA_EXTERNAL_MEMORY + + if(pCreateInfo->pHeapSizeLimit != VMA_NULL) + { + for(uint32_t heapIndex = 0; heapIndex < GetMemoryHeapCount(); ++heapIndex) + { + const VkDeviceSize limit = pCreateInfo->pHeapSizeLimit[heapIndex]; + if(limit != VK_WHOLE_SIZE) + { + m_HeapSizeLimitMask |= 1u << heapIndex; + if(limit < m_MemProps.memoryHeaps[heapIndex].size) + { + m_MemProps.memoryHeaps[heapIndex].size = limit; + } + } + } + } + + for(uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) + { + // Create only supported types + if((m_GlobalMemoryTypeBits & (1u << memTypeIndex)) != 0) + { + const VkDeviceSize preferredBlockSize = CalcPreferredBlockSize(memTypeIndex); + m_pBlockVectors[memTypeIndex] = vma_new(this, VmaBlockVector)( + this, + VK_NULL_HANDLE, // hParentPool + memTypeIndex, + preferredBlockSize, + 0, + SIZE_MAX, + GetBufferImageGranularity(), + false, // explicitBlockSize + 0, // algorithm + 0.5f, // priority (0.5 is the default per Vulkan spec) + GetMemoryTypeMinAlignment(memTypeIndex), // minAllocationAlignment + VMA_NULL); // // pMemoryAllocateNext + // No need to call m_pBlockVectors[memTypeIndex][blockVectorTypeIndex]->CreateMinBlocks here, + // becase minBlockCount is 0. + } + } +} + +VkResult VmaAllocator_T::Init(const VmaAllocatorCreateInfo* pCreateInfo) +{ + VkResult res = VK_SUCCESS; + +#if VMA_MEMORY_BUDGET + if(m_UseExtMemoryBudget) + { + UpdateVulkanBudget(); + } +#endif // #if VMA_MEMORY_BUDGET + + return res; +} + +VmaAllocator_T::~VmaAllocator_T() +{ + VMA_ASSERT(m_Pools.IsEmpty()); + + for(size_t memTypeIndex = GetMemoryTypeCount(); memTypeIndex--; ) + { + vma_delete(this, m_pBlockVectors[memTypeIndex]); + } +} + +void VmaAllocator_T::ImportVulkanFunctions(const VmaVulkanFunctions* pVulkanFunctions) +{ +#if VMA_STATIC_VULKAN_FUNCTIONS == 1 + ImportVulkanFunctions_Static(); +#endif + + if(pVulkanFunctions != VMA_NULL) + { + ImportVulkanFunctions_Custom(pVulkanFunctions); + } + +#if VMA_DYNAMIC_VULKAN_FUNCTIONS == 1 + ImportVulkanFunctions_Dynamic(); +#endif + + ValidateVulkanFunctions(); +} + +#if VMA_STATIC_VULKAN_FUNCTIONS == 1 + +void VmaAllocator_T::ImportVulkanFunctions_Static() +{ + // Vulkan 1.0 + m_VulkanFunctions.vkGetInstanceProcAddr = (PFN_vkGetInstanceProcAddr)vkGetInstanceProcAddr; + m_VulkanFunctions.vkGetDeviceProcAddr = (PFN_vkGetDeviceProcAddr)vkGetDeviceProcAddr; + m_VulkanFunctions.vkGetPhysicalDeviceProperties = (PFN_vkGetPhysicalDeviceProperties)vkGetPhysicalDeviceProperties; + m_VulkanFunctions.vkGetPhysicalDeviceMemoryProperties = (PFN_vkGetPhysicalDeviceMemoryProperties)vkGetPhysicalDeviceMemoryProperties; + m_VulkanFunctions.vkAllocateMemory = (PFN_vkAllocateMemory)vkAllocateMemory; + m_VulkanFunctions.vkFreeMemory = (PFN_vkFreeMemory)vkFreeMemory; + m_VulkanFunctions.vkMapMemory = (PFN_vkMapMemory)vkMapMemory; + m_VulkanFunctions.vkUnmapMemory = (PFN_vkUnmapMemory)vkUnmapMemory; + m_VulkanFunctions.vkFlushMappedMemoryRanges = (PFN_vkFlushMappedMemoryRanges)vkFlushMappedMemoryRanges; + m_VulkanFunctions.vkInvalidateMappedMemoryRanges = (PFN_vkInvalidateMappedMemoryRanges)vkInvalidateMappedMemoryRanges; + m_VulkanFunctions.vkBindBufferMemory = (PFN_vkBindBufferMemory)vkBindBufferMemory; + m_VulkanFunctions.vkBindImageMemory = (PFN_vkBindImageMemory)vkBindImageMemory; + m_VulkanFunctions.vkGetBufferMemoryRequirements = (PFN_vkGetBufferMemoryRequirements)vkGetBufferMemoryRequirements; + m_VulkanFunctions.vkGetImageMemoryRequirements = (PFN_vkGetImageMemoryRequirements)vkGetImageMemoryRequirements; + m_VulkanFunctions.vkCreateBuffer = (PFN_vkCreateBuffer)vkCreateBuffer; + m_VulkanFunctions.vkDestroyBuffer = (PFN_vkDestroyBuffer)vkDestroyBuffer; + m_VulkanFunctions.vkCreateImage = (PFN_vkCreateImage)vkCreateImage; + m_VulkanFunctions.vkDestroyImage = (PFN_vkDestroyImage)vkDestroyImage; + m_VulkanFunctions.vkCmdCopyBuffer = (PFN_vkCmdCopyBuffer)vkCmdCopyBuffer; + + // Vulkan 1.1 +#if VMA_VULKAN_VERSION >= 1001000 + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) + { + m_VulkanFunctions.vkGetBufferMemoryRequirements2KHR = (PFN_vkGetBufferMemoryRequirements2)vkGetBufferMemoryRequirements2; + m_VulkanFunctions.vkGetImageMemoryRequirements2KHR = (PFN_vkGetImageMemoryRequirements2)vkGetImageMemoryRequirements2; + m_VulkanFunctions.vkBindBufferMemory2KHR = (PFN_vkBindBufferMemory2)vkBindBufferMemory2; + m_VulkanFunctions.vkBindImageMemory2KHR = (PFN_vkBindImageMemory2)vkBindImageMemory2; + } +#endif + +#if VMA_MEMORY_BUDGET || VMA_VULKAN_VERSION >= 1001000 + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) + { + m_VulkanFunctions.vkGetPhysicalDeviceMemoryProperties2KHR = (PFN_vkGetPhysicalDeviceMemoryProperties2)vkGetPhysicalDeviceMemoryProperties2; + } +#endif + +#if VMA_VULKAN_VERSION >= 1003000 + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 3, 0)) + { + m_VulkanFunctions.vkGetDeviceBufferMemoryRequirements = (PFN_vkGetDeviceBufferMemoryRequirements)vkGetDeviceBufferMemoryRequirements; + m_VulkanFunctions.vkGetDeviceImageMemoryRequirements = (PFN_vkGetDeviceImageMemoryRequirements)vkGetDeviceImageMemoryRequirements; + } +#endif +} + +#endif // VMA_STATIC_VULKAN_FUNCTIONS == 1 + +void VmaAllocator_T::ImportVulkanFunctions_Custom(const VmaVulkanFunctions* pVulkanFunctions) +{ + VMA_ASSERT(pVulkanFunctions != VMA_NULL); + +#define VMA_COPY_IF_NOT_NULL(funcName) \ + if(pVulkanFunctions->funcName != VMA_NULL) m_VulkanFunctions.funcName = pVulkanFunctions->funcName; + + VMA_COPY_IF_NOT_NULL(vkGetInstanceProcAddr); + VMA_COPY_IF_NOT_NULL(vkGetDeviceProcAddr); + VMA_COPY_IF_NOT_NULL(vkGetPhysicalDeviceProperties); + VMA_COPY_IF_NOT_NULL(vkGetPhysicalDeviceMemoryProperties); + VMA_COPY_IF_NOT_NULL(vkAllocateMemory); + VMA_COPY_IF_NOT_NULL(vkFreeMemory); + VMA_COPY_IF_NOT_NULL(vkMapMemory); + VMA_COPY_IF_NOT_NULL(vkUnmapMemory); + VMA_COPY_IF_NOT_NULL(vkFlushMappedMemoryRanges); + VMA_COPY_IF_NOT_NULL(vkInvalidateMappedMemoryRanges); + VMA_COPY_IF_NOT_NULL(vkBindBufferMemory); + VMA_COPY_IF_NOT_NULL(vkBindImageMemory); + VMA_COPY_IF_NOT_NULL(vkGetBufferMemoryRequirements); + VMA_COPY_IF_NOT_NULL(vkGetImageMemoryRequirements); + VMA_COPY_IF_NOT_NULL(vkCreateBuffer); + VMA_COPY_IF_NOT_NULL(vkDestroyBuffer); + VMA_COPY_IF_NOT_NULL(vkCreateImage); + VMA_COPY_IF_NOT_NULL(vkDestroyImage); + VMA_COPY_IF_NOT_NULL(vkCmdCopyBuffer); + +#if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 + VMA_COPY_IF_NOT_NULL(vkGetBufferMemoryRequirements2KHR); + VMA_COPY_IF_NOT_NULL(vkGetImageMemoryRequirements2KHR); +#endif + +#if VMA_BIND_MEMORY2 || VMA_VULKAN_VERSION >= 1001000 + VMA_COPY_IF_NOT_NULL(vkBindBufferMemory2KHR); + VMA_COPY_IF_NOT_NULL(vkBindImageMemory2KHR); +#endif + +#if VMA_MEMORY_BUDGET || VMA_VULKAN_VERSION >= 1001000 + VMA_COPY_IF_NOT_NULL(vkGetPhysicalDeviceMemoryProperties2KHR); +#endif + +#if VMA_VULKAN_VERSION >= 1003000 + VMA_COPY_IF_NOT_NULL(vkGetDeviceBufferMemoryRequirements); + VMA_COPY_IF_NOT_NULL(vkGetDeviceImageMemoryRequirements); +#endif + +#undef VMA_COPY_IF_NOT_NULL +} + +#if VMA_DYNAMIC_VULKAN_FUNCTIONS == 1 + +void VmaAllocator_T::ImportVulkanFunctions_Dynamic() +{ + VMA_ASSERT(m_VulkanFunctions.vkGetInstanceProcAddr && m_VulkanFunctions.vkGetDeviceProcAddr && + "To use VMA_DYNAMIC_VULKAN_FUNCTIONS in new versions of VMA you now have to pass " + "VmaVulkanFunctions::vkGetInstanceProcAddr and vkGetDeviceProcAddr as VmaAllocatorCreateInfo::pVulkanFunctions. " + "Other members can be null."); + +#define VMA_FETCH_INSTANCE_FUNC(memberName, functionPointerType, functionNameString) \ + if(m_VulkanFunctions.memberName == VMA_NULL) \ + m_VulkanFunctions.memberName = \ + (functionPointerType)m_VulkanFunctions.vkGetInstanceProcAddr(m_hInstance, functionNameString); +#define VMA_FETCH_DEVICE_FUNC(memberName, functionPointerType, functionNameString) \ + if(m_VulkanFunctions.memberName == VMA_NULL) \ + m_VulkanFunctions.memberName = \ + (functionPointerType)m_VulkanFunctions.vkGetDeviceProcAddr(m_hDevice, functionNameString); + + VMA_FETCH_INSTANCE_FUNC(vkGetPhysicalDeviceProperties, PFN_vkGetPhysicalDeviceProperties, "vkGetPhysicalDeviceProperties"); + VMA_FETCH_INSTANCE_FUNC(vkGetPhysicalDeviceMemoryProperties, PFN_vkGetPhysicalDeviceMemoryProperties, "vkGetPhysicalDeviceMemoryProperties"); + VMA_FETCH_DEVICE_FUNC(vkAllocateMemory, PFN_vkAllocateMemory, "vkAllocateMemory"); + VMA_FETCH_DEVICE_FUNC(vkFreeMemory, PFN_vkFreeMemory, "vkFreeMemory"); + VMA_FETCH_DEVICE_FUNC(vkMapMemory, PFN_vkMapMemory, "vkMapMemory"); + VMA_FETCH_DEVICE_FUNC(vkUnmapMemory, PFN_vkUnmapMemory, "vkUnmapMemory"); + VMA_FETCH_DEVICE_FUNC(vkFlushMappedMemoryRanges, PFN_vkFlushMappedMemoryRanges, "vkFlushMappedMemoryRanges"); + VMA_FETCH_DEVICE_FUNC(vkInvalidateMappedMemoryRanges, PFN_vkInvalidateMappedMemoryRanges, "vkInvalidateMappedMemoryRanges"); + VMA_FETCH_DEVICE_FUNC(vkBindBufferMemory, PFN_vkBindBufferMemory, "vkBindBufferMemory"); + VMA_FETCH_DEVICE_FUNC(vkBindImageMemory, PFN_vkBindImageMemory, "vkBindImageMemory"); + VMA_FETCH_DEVICE_FUNC(vkGetBufferMemoryRequirements, PFN_vkGetBufferMemoryRequirements, "vkGetBufferMemoryRequirements"); + VMA_FETCH_DEVICE_FUNC(vkGetImageMemoryRequirements, PFN_vkGetImageMemoryRequirements, "vkGetImageMemoryRequirements"); + VMA_FETCH_DEVICE_FUNC(vkCreateBuffer, PFN_vkCreateBuffer, "vkCreateBuffer"); + VMA_FETCH_DEVICE_FUNC(vkDestroyBuffer, PFN_vkDestroyBuffer, "vkDestroyBuffer"); + VMA_FETCH_DEVICE_FUNC(vkCreateImage, PFN_vkCreateImage, "vkCreateImage"); + VMA_FETCH_DEVICE_FUNC(vkDestroyImage, PFN_vkDestroyImage, "vkDestroyImage"); + VMA_FETCH_DEVICE_FUNC(vkCmdCopyBuffer, PFN_vkCmdCopyBuffer, "vkCmdCopyBuffer"); + +#if VMA_VULKAN_VERSION >= 1001000 + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) + { + VMA_FETCH_DEVICE_FUNC(vkGetBufferMemoryRequirements2KHR, PFN_vkGetBufferMemoryRequirements2, "vkGetBufferMemoryRequirements2"); + VMA_FETCH_DEVICE_FUNC(vkGetImageMemoryRequirements2KHR, PFN_vkGetImageMemoryRequirements2, "vkGetImageMemoryRequirements2"); + VMA_FETCH_DEVICE_FUNC(vkBindBufferMemory2KHR, PFN_vkBindBufferMemory2, "vkBindBufferMemory2"); + VMA_FETCH_DEVICE_FUNC(vkBindImageMemory2KHR, PFN_vkBindImageMemory2, "vkBindImageMemory2"); + } +#endif + +#if VMA_MEMORY_BUDGET || VMA_VULKAN_VERSION >= 1001000 + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) + { + VMA_FETCH_INSTANCE_FUNC(vkGetPhysicalDeviceMemoryProperties2KHR, PFN_vkGetPhysicalDeviceMemoryProperties2, "vkGetPhysicalDeviceMemoryProperties2"); + } + else if(m_UseExtMemoryBudget) + { + VMA_FETCH_INSTANCE_FUNC(vkGetPhysicalDeviceMemoryProperties2KHR, PFN_vkGetPhysicalDeviceMemoryProperties2, "vkGetPhysicalDeviceMemoryProperties2KHR"); + } +#endif + +#if VMA_DEDICATED_ALLOCATION + if(m_UseKhrDedicatedAllocation) + { + VMA_FETCH_DEVICE_FUNC(vkGetBufferMemoryRequirements2KHR, PFN_vkGetBufferMemoryRequirements2KHR, "vkGetBufferMemoryRequirements2KHR"); + VMA_FETCH_DEVICE_FUNC(vkGetImageMemoryRequirements2KHR, PFN_vkGetImageMemoryRequirements2KHR, "vkGetImageMemoryRequirements2KHR"); + } +#endif + +#if VMA_BIND_MEMORY2 + if(m_UseKhrBindMemory2) + { + VMA_FETCH_DEVICE_FUNC(vkBindBufferMemory2KHR, PFN_vkBindBufferMemory2KHR, "vkBindBufferMemory2KHR"); + VMA_FETCH_DEVICE_FUNC(vkBindImageMemory2KHR, PFN_vkBindImageMemory2KHR, "vkBindImageMemory2KHR"); + } +#endif // #if VMA_BIND_MEMORY2 + +#if VMA_MEMORY_BUDGET || VMA_VULKAN_VERSION >= 1001000 + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) + { + VMA_FETCH_INSTANCE_FUNC(vkGetPhysicalDeviceMemoryProperties2KHR, PFN_vkGetPhysicalDeviceMemoryProperties2KHR, "vkGetPhysicalDeviceMemoryProperties2"); + } + else if(m_UseExtMemoryBudget) + { + VMA_FETCH_INSTANCE_FUNC(vkGetPhysicalDeviceMemoryProperties2KHR, PFN_vkGetPhysicalDeviceMemoryProperties2KHR, "vkGetPhysicalDeviceMemoryProperties2KHR"); + } +#endif // #if VMA_MEMORY_BUDGET + +#if VMA_VULKAN_VERSION >= 1003000 + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 3, 0)) + { + VMA_FETCH_DEVICE_FUNC(vkGetDeviceBufferMemoryRequirements, PFN_vkGetDeviceBufferMemoryRequirements, "vkGetDeviceBufferMemoryRequirements"); + VMA_FETCH_DEVICE_FUNC(vkGetDeviceImageMemoryRequirements, PFN_vkGetDeviceImageMemoryRequirements, "vkGetDeviceImageMemoryRequirements"); + } +#endif + +#undef VMA_FETCH_DEVICE_FUNC +#undef VMA_FETCH_INSTANCE_FUNC +} + +#endif // VMA_DYNAMIC_VULKAN_FUNCTIONS == 1 + +void VmaAllocator_T::ValidateVulkanFunctions() +{ + VMA_ASSERT(m_VulkanFunctions.vkGetPhysicalDeviceProperties != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkGetPhysicalDeviceMemoryProperties != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkAllocateMemory != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkFreeMemory != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkMapMemory != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkUnmapMemory != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkFlushMappedMemoryRanges != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkInvalidateMappedMemoryRanges != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkBindBufferMemory != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkBindImageMemory != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkGetBufferMemoryRequirements != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkGetImageMemoryRequirements != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkCreateBuffer != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkDestroyBuffer != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkCreateImage != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkDestroyImage != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkCmdCopyBuffer != VMA_NULL); + +#if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0) || m_UseKhrDedicatedAllocation) + { + VMA_ASSERT(m_VulkanFunctions.vkGetBufferMemoryRequirements2KHR != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkGetImageMemoryRequirements2KHR != VMA_NULL); + } +#endif + +#if VMA_BIND_MEMORY2 || VMA_VULKAN_VERSION >= 1001000 + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0) || m_UseKhrBindMemory2) + { + VMA_ASSERT(m_VulkanFunctions.vkBindBufferMemory2KHR != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkBindImageMemory2KHR != VMA_NULL); + } +#endif + +#if VMA_MEMORY_BUDGET || VMA_VULKAN_VERSION >= 1001000 + if(m_UseExtMemoryBudget || m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) + { + VMA_ASSERT(m_VulkanFunctions.vkGetPhysicalDeviceMemoryProperties2KHR != VMA_NULL); + } +#endif + +#if VMA_VULKAN_VERSION >= 1003000 + if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 3, 0)) + { + VMA_ASSERT(m_VulkanFunctions.vkGetDeviceBufferMemoryRequirements != VMA_NULL); + VMA_ASSERT(m_VulkanFunctions.vkGetDeviceImageMemoryRequirements != VMA_NULL); + } +#endif +} + +VkDeviceSize VmaAllocator_T::CalcPreferredBlockSize(uint32_t memTypeIndex) +{ + const uint32_t heapIndex = MemoryTypeIndexToHeapIndex(memTypeIndex); + const VkDeviceSize heapSize = m_MemProps.memoryHeaps[heapIndex].size; + const bool isSmallHeap = heapSize <= VMA_SMALL_HEAP_MAX_SIZE; + return VmaAlignUp(isSmallHeap ? (heapSize / 8) : m_PreferredLargeHeapBlockSize, (VkDeviceSize)32); +} + +VkResult VmaAllocator_T::AllocateMemoryOfType( + VmaPool pool, + VkDeviceSize size, + VkDeviceSize alignment, + bool dedicatedPreferred, + VkBuffer dedicatedBuffer, + VkImage dedicatedImage, + VkFlags dedicatedBufferImageUsage, + const VmaAllocationCreateInfo& createInfo, + uint32_t memTypeIndex, + VmaSuballocationType suballocType, + VmaDedicatedAllocationList& dedicatedAllocations, + VmaBlockVector& blockVector, + size_t allocationCount, + VmaAllocation* pAllocations) +{ + VMA_ASSERT(pAllocations != VMA_NULL); + VMA_DEBUG_LOG_FORMAT(" AllocateMemory: MemoryTypeIndex=%u, AllocationCount=%zu, Size=%llu", memTypeIndex, allocationCount, size); + + VmaAllocationCreateInfo finalCreateInfo = createInfo; + VkResult res = CalcMemTypeParams( + finalCreateInfo, + memTypeIndex, + size, + allocationCount); + if(res != VK_SUCCESS) + return res; + + if((finalCreateInfo.flags & VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT) != 0) + { + return AllocateDedicatedMemory( + pool, + size, + suballocType, + dedicatedAllocations, + memTypeIndex, + (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_MAPPED_BIT) != 0, + (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT) != 0, + (finalCreateInfo.flags & + (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0, + (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_CAN_ALIAS_BIT) != 0, + finalCreateInfo.pUserData, + finalCreateInfo.priority, + dedicatedBuffer, + dedicatedImage, + dedicatedBufferImageUsage, + allocationCount, + pAllocations, + blockVector.GetAllocationNextPtr()); + } + else + { + const bool canAllocateDedicated = + (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT) == 0 && + (pool == VK_NULL_HANDLE || !blockVector.HasExplicitBlockSize()); + + if(canAllocateDedicated) + { + // Heuristics: Allocate dedicated memory if requested size if greater than half of preferred block size. + if(size > blockVector.GetPreferredBlockSize() / 2) + { + dedicatedPreferred = true; + } + // Protection against creating each allocation as dedicated when we reach or exceed heap size/budget, + // which can quickly deplete maxMemoryAllocationCount: Don't prefer dedicated allocations when above + // 3/4 of the maximum allocation count. + if(m_PhysicalDeviceProperties.limits.maxMemoryAllocationCount < UINT32_MAX / 4 && + m_DeviceMemoryCount.load() > m_PhysicalDeviceProperties.limits.maxMemoryAllocationCount * 3 / 4) + { + dedicatedPreferred = false; + } + + if(dedicatedPreferred) + { + res = AllocateDedicatedMemory( + pool, + size, + suballocType, + dedicatedAllocations, + memTypeIndex, + (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_MAPPED_BIT) != 0, + (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT) != 0, + (finalCreateInfo.flags & + (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0, + (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_CAN_ALIAS_BIT) != 0, + finalCreateInfo.pUserData, + finalCreateInfo.priority, + dedicatedBuffer, + dedicatedImage, + dedicatedBufferImageUsage, + allocationCount, + pAllocations, + blockVector.GetAllocationNextPtr()); + if(res == VK_SUCCESS) + { + // Succeeded: AllocateDedicatedMemory function already filled pMemory, nothing more to do here. + VMA_DEBUG_LOG(" Allocated as DedicatedMemory"); + return VK_SUCCESS; + } + } + } + + res = blockVector.Allocate( + size, + alignment, + finalCreateInfo, + suballocType, + allocationCount, + pAllocations); + if(res == VK_SUCCESS) + return VK_SUCCESS; + + // Try dedicated memory. + if(canAllocateDedicated && !dedicatedPreferred) + { + res = AllocateDedicatedMemory( + pool, + size, + suballocType, + dedicatedAllocations, + memTypeIndex, + (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_MAPPED_BIT) != 0, + (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT) != 0, + (finalCreateInfo.flags & + (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0, + (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_CAN_ALIAS_BIT) != 0, + finalCreateInfo.pUserData, + finalCreateInfo.priority, + dedicatedBuffer, + dedicatedImage, + dedicatedBufferImageUsage, + allocationCount, + pAllocations, + blockVector.GetAllocationNextPtr()); + if(res == VK_SUCCESS) + { + // Succeeded: AllocateDedicatedMemory function already filled pMemory, nothing more to do here. + VMA_DEBUG_LOG(" Allocated as DedicatedMemory"); + return VK_SUCCESS; + } + } + // Everything failed: Return error code. + VMA_DEBUG_LOG(" vkAllocateMemory FAILED"); + return res; + } +} + +VkResult VmaAllocator_T::AllocateDedicatedMemory( + VmaPool pool, + VkDeviceSize size, + VmaSuballocationType suballocType, + VmaDedicatedAllocationList& dedicatedAllocations, + uint32_t memTypeIndex, + bool map, + bool isUserDataString, + bool isMappingAllowed, + bool canAliasMemory, + void* pUserData, + float priority, + VkBuffer dedicatedBuffer, + VkImage dedicatedImage, + VkFlags dedicatedBufferImageUsage, + size_t allocationCount, + VmaAllocation* pAllocations, + const void* pNextChain) +{ + VMA_ASSERT(allocationCount > 0 && pAllocations); + + VkMemoryAllocateInfo allocInfo = { VK_STRUCTURE_TYPE_MEMORY_ALLOCATE_INFO }; + allocInfo.memoryTypeIndex = memTypeIndex; + allocInfo.allocationSize = size; + allocInfo.pNext = pNextChain; + +#if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 + VkMemoryDedicatedAllocateInfoKHR dedicatedAllocInfo = { VK_STRUCTURE_TYPE_MEMORY_DEDICATED_ALLOCATE_INFO_KHR }; + if(!canAliasMemory) + { + if(m_UseKhrDedicatedAllocation || m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) + { + if(dedicatedBuffer != VK_NULL_HANDLE) + { + VMA_ASSERT(dedicatedImage == VK_NULL_HANDLE); + dedicatedAllocInfo.buffer = dedicatedBuffer; + VmaPnextChainPushFront(&allocInfo, &dedicatedAllocInfo); + } + else if(dedicatedImage != VK_NULL_HANDLE) + { + dedicatedAllocInfo.image = dedicatedImage; + VmaPnextChainPushFront(&allocInfo, &dedicatedAllocInfo); + } + } + } +#endif // #if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 + +#if VMA_BUFFER_DEVICE_ADDRESS + VkMemoryAllocateFlagsInfoKHR allocFlagsInfo = { VK_STRUCTURE_TYPE_MEMORY_ALLOCATE_FLAGS_INFO_KHR }; + if(m_UseKhrBufferDeviceAddress) + { + bool canContainBufferWithDeviceAddress = true; + if(dedicatedBuffer != VK_NULL_HANDLE) + { + canContainBufferWithDeviceAddress = dedicatedBufferImageUsage == UINT32_MAX || // Usage flags unknown + (dedicatedBufferImageUsage & VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT_EXT) != 0; + } + else if(dedicatedImage != VK_NULL_HANDLE) + { + canContainBufferWithDeviceAddress = false; + } + if(canContainBufferWithDeviceAddress) + { + allocFlagsInfo.flags = VK_MEMORY_ALLOCATE_DEVICE_ADDRESS_BIT_KHR; + VmaPnextChainPushFront(&allocInfo, &allocFlagsInfo); + } + } +#endif // #if VMA_BUFFER_DEVICE_ADDRESS + +#if VMA_MEMORY_PRIORITY + VkMemoryPriorityAllocateInfoEXT priorityInfo = { VK_STRUCTURE_TYPE_MEMORY_PRIORITY_ALLOCATE_INFO_EXT }; + if(m_UseExtMemoryPriority) + { + VMA_ASSERT(priority >= 0.f && priority <= 1.f); + priorityInfo.priority = priority; + VmaPnextChainPushFront(&allocInfo, &priorityInfo); + } +#endif // #if VMA_MEMORY_PRIORITY + +#if VMA_EXTERNAL_MEMORY + // Attach VkExportMemoryAllocateInfoKHR if necessary. + VkExportMemoryAllocateInfoKHR exportMemoryAllocInfo = { VK_STRUCTURE_TYPE_EXPORT_MEMORY_ALLOCATE_INFO_KHR }; + exportMemoryAllocInfo.handleTypes = GetExternalMemoryHandleTypeFlags(memTypeIndex); + if(exportMemoryAllocInfo.handleTypes != 0) + { + VmaPnextChainPushFront(&allocInfo, &exportMemoryAllocInfo); + } +#endif // #if VMA_EXTERNAL_MEMORY + + size_t allocIndex; + VkResult res = VK_SUCCESS; + for(allocIndex = 0; allocIndex < allocationCount; ++allocIndex) + { + res = AllocateDedicatedMemoryPage( + pool, + size, + suballocType, + memTypeIndex, + allocInfo, + map, + isUserDataString, + isMappingAllowed, + pUserData, + pAllocations + allocIndex); + if(res != VK_SUCCESS) + { + break; + } + } + + if(res == VK_SUCCESS) + { + for (allocIndex = 0; allocIndex < allocationCount; ++allocIndex) + { + dedicatedAllocations.Register(pAllocations[allocIndex]); + } + VMA_DEBUG_LOG_FORMAT(" Allocated DedicatedMemory Count=%zu, MemoryTypeIndex=#%u", allocationCount, memTypeIndex); + } + else + { + // Free all already created allocations. + while(allocIndex--) + { + VmaAllocation currAlloc = pAllocations[allocIndex]; + VkDeviceMemory hMemory = currAlloc->GetMemory(); + + /* + There is no need to call this, because Vulkan spec allows to skip vkUnmapMemory + before vkFreeMemory. + + if(currAlloc->GetMappedData() != VMA_NULL) + { + (*m_VulkanFunctions.vkUnmapMemory)(m_hDevice, hMemory); + } + */ + + FreeVulkanMemory(memTypeIndex, currAlloc->GetSize(), hMemory); + m_Budget.RemoveAllocation(MemoryTypeIndexToHeapIndex(memTypeIndex), currAlloc->GetSize()); + m_AllocationObjectAllocator.Free(currAlloc); + } + + memset(pAllocations, 0, sizeof(VmaAllocation) * allocationCount); + } + + return res; +} + +VkResult VmaAllocator_T::AllocateDedicatedMemoryPage( + VmaPool pool, + VkDeviceSize size, + VmaSuballocationType suballocType, + uint32_t memTypeIndex, + const VkMemoryAllocateInfo& allocInfo, + bool map, + bool isUserDataString, + bool isMappingAllowed, + void* pUserData, + VmaAllocation* pAllocation) +{ + VkDeviceMemory hMemory = VK_NULL_HANDLE; + VkResult res = AllocateVulkanMemory(&allocInfo, &hMemory); + if(res < 0) + { + VMA_DEBUG_LOG(" vkAllocateMemory FAILED"); + return res; + } + + void* pMappedData = VMA_NULL; + if(map) + { + res = (*m_VulkanFunctions.vkMapMemory)( + m_hDevice, + hMemory, + 0, + VK_WHOLE_SIZE, + 0, + &pMappedData); + if(res < 0) + { + VMA_DEBUG_LOG(" vkMapMemory FAILED"); + FreeVulkanMemory(memTypeIndex, size, hMemory); + return res; + } + } + + *pAllocation = m_AllocationObjectAllocator.Allocate(isMappingAllowed); + (*pAllocation)->InitDedicatedAllocation(pool, memTypeIndex, hMemory, suballocType, pMappedData, size); + if (isUserDataString) + (*pAllocation)->SetName(this, (const char*)pUserData); + else + (*pAllocation)->SetUserData(this, pUserData); + m_Budget.AddAllocation(MemoryTypeIndexToHeapIndex(memTypeIndex), size); + if(VMA_DEBUG_INITIALIZE_ALLOCATIONS) + { + FillAllocation(*pAllocation, VMA_ALLOCATION_FILL_PATTERN_CREATED); + } + + return VK_SUCCESS; +} + +void VmaAllocator_T::GetBufferMemoryRequirements( + VkBuffer hBuffer, + VkMemoryRequirements& memReq, + bool& requiresDedicatedAllocation, + bool& prefersDedicatedAllocation) const +{ +#if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 + if(m_UseKhrDedicatedAllocation || m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) + { + VkBufferMemoryRequirementsInfo2KHR memReqInfo = { VK_STRUCTURE_TYPE_BUFFER_MEMORY_REQUIREMENTS_INFO_2_KHR }; + memReqInfo.buffer = hBuffer; + + VkMemoryDedicatedRequirementsKHR memDedicatedReq = { VK_STRUCTURE_TYPE_MEMORY_DEDICATED_REQUIREMENTS_KHR }; + + VkMemoryRequirements2KHR memReq2 = { VK_STRUCTURE_TYPE_MEMORY_REQUIREMENTS_2_KHR }; + VmaPnextChainPushFront(&memReq2, &memDedicatedReq); + + (*m_VulkanFunctions.vkGetBufferMemoryRequirements2KHR)(m_hDevice, &memReqInfo, &memReq2); + + memReq = memReq2.memoryRequirements; + requiresDedicatedAllocation = (memDedicatedReq.requiresDedicatedAllocation != VK_FALSE); + prefersDedicatedAllocation = (memDedicatedReq.prefersDedicatedAllocation != VK_FALSE); + } + else +#endif // #if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 + { + (*m_VulkanFunctions.vkGetBufferMemoryRequirements)(m_hDevice, hBuffer, &memReq); + requiresDedicatedAllocation = false; + prefersDedicatedAllocation = false; + } +} + +void VmaAllocator_T::GetImageMemoryRequirements( + VkImage hImage, + VkMemoryRequirements& memReq, + bool& requiresDedicatedAllocation, + bool& prefersDedicatedAllocation) const +{ +#if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 + if(m_UseKhrDedicatedAllocation || m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) + { + VkImageMemoryRequirementsInfo2KHR memReqInfo = { VK_STRUCTURE_TYPE_IMAGE_MEMORY_REQUIREMENTS_INFO_2_KHR }; + memReqInfo.image = hImage; + + VkMemoryDedicatedRequirementsKHR memDedicatedReq = { VK_STRUCTURE_TYPE_MEMORY_DEDICATED_REQUIREMENTS_KHR }; + + VkMemoryRequirements2KHR memReq2 = { VK_STRUCTURE_TYPE_MEMORY_REQUIREMENTS_2_KHR }; + VmaPnextChainPushFront(&memReq2, &memDedicatedReq); + + (*m_VulkanFunctions.vkGetImageMemoryRequirements2KHR)(m_hDevice, &memReqInfo, &memReq2); + + memReq = memReq2.memoryRequirements; + requiresDedicatedAllocation = (memDedicatedReq.requiresDedicatedAllocation != VK_FALSE); + prefersDedicatedAllocation = (memDedicatedReq.prefersDedicatedAllocation != VK_FALSE); + } + else +#endif // #if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 + { + (*m_VulkanFunctions.vkGetImageMemoryRequirements)(m_hDevice, hImage, &memReq); + requiresDedicatedAllocation = false; + prefersDedicatedAllocation = false; + } +} + +VkResult VmaAllocator_T::FindMemoryTypeIndex( + uint32_t memoryTypeBits, + const VmaAllocationCreateInfo* pAllocationCreateInfo, + VkFlags bufImgUsage, + uint32_t* pMemoryTypeIndex) const +{ + memoryTypeBits &= GetGlobalMemoryTypeBits(); + + if(pAllocationCreateInfo->memoryTypeBits != 0) + { + memoryTypeBits &= pAllocationCreateInfo->memoryTypeBits; + } + + VkMemoryPropertyFlags requiredFlags = 0, preferredFlags = 0, notPreferredFlags = 0; + if(!FindMemoryPreferences( + IsIntegratedGpu(), + *pAllocationCreateInfo, + bufImgUsage, + requiredFlags, preferredFlags, notPreferredFlags)) + { + return VK_ERROR_FEATURE_NOT_PRESENT; + } + + *pMemoryTypeIndex = UINT32_MAX; + uint32_t minCost = UINT32_MAX; + for(uint32_t memTypeIndex = 0, memTypeBit = 1; + memTypeIndex < GetMemoryTypeCount(); + ++memTypeIndex, memTypeBit <<= 1) + { + // This memory type is acceptable according to memoryTypeBits bitmask. + if((memTypeBit & memoryTypeBits) != 0) + { + const VkMemoryPropertyFlags currFlags = + m_MemProps.memoryTypes[memTypeIndex].propertyFlags; + // This memory type contains requiredFlags. + if((requiredFlags & ~currFlags) == 0) + { + // Calculate cost as number of bits from preferredFlags not present in this memory type. + uint32_t currCost = VMA_COUNT_BITS_SET(preferredFlags & ~currFlags) + + VMA_COUNT_BITS_SET(currFlags & notPreferredFlags); + // Remember memory type with lowest cost. + if(currCost < minCost) + { + *pMemoryTypeIndex = memTypeIndex; + if(currCost == 0) + { + return VK_SUCCESS; + } + minCost = currCost; + } + } + } + } + return (*pMemoryTypeIndex != UINT32_MAX) ? VK_SUCCESS : VK_ERROR_FEATURE_NOT_PRESENT; +} + +VkResult VmaAllocator_T::CalcMemTypeParams( + VmaAllocationCreateInfo& inoutCreateInfo, + uint32_t memTypeIndex, + VkDeviceSize size, + size_t allocationCount) +{ + // If memory type is not HOST_VISIBLE, disable MAPPED. + if((inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_MAPPED_BIT) != 0 && + (m_MemProps.memoryTypes[memTypeIndex].propertyFlags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) == 0) + { + inoutCreateInfo.flags &= ~VMA_ALLOCATION_CREATE_MAPPED_BIT; + } + + if((inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT) != 0 && + (inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_WITHIN_BUDGET_BIT) != 0) + { + const uint32_t heapIndex = MemoryTypeIndexToHeapIndex(memTypeIndex); + VmaBudget heapBudget = {}; + GetHeapBudgets(&heapBudget, heapIndex, 1); + if(heapBudget.usage + size * allocationCount > heapBudget.budget) + { + return VK_ERROR_OUT_OF_DEVICE_MEMORY; + } + } + return VK_SUCCESS; +} + +VkResult VmaAllocator_T::CalcAllocationParams( + VmaAllocationCreateInfo& inoutCreateInfo, + bool dedicatedRequired, + bool dedicatedPreferred) +{ + VMA_ASSERT((inoutCreateInfo.flags & + (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != + (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT) && + "Specifying both flags VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT and VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT is incorrect."); + VMA_ASSERT((((inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT) == 0 || + (inoutCreateInfo.flags & (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0)) && + "Specifying VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT requires also VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT."); + if(inoutCreateInfo.usage == VMA_MEMORY_USAGE_AUTO || inoutCreateInfo.usage == VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE || inoutCreateInfo.usage == VMA_MEMORY_USAGE_AUTO_PREFER_HOST) + { + if((inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_MAPPED_BIT) != 0) + { + VMA_ASSERT((inoutCreateInfo.flags & (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0 && + "When using VMA_ALLOCATION_CREATE_MAPPED_BIT and usage = VMA_MEMORY_USAGE_AUTO*, you must also specify VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT."); + } + } + + // If memory is lazily allocated, it should be always dedicated. + if(dedicatedRequired || + inoutCreateInfo.usage == VMA_MEMORY_USAGE_GPU_LAZILY_ALLOCATED) + { + inoutCreateInfo.flags |= VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT; + } + + if(inoutCreateInfo.pool != VK_NULL_HANDLE) + { + if(inoutCreateInfo.pool->m_BlockVector.HasExplicitBlockSize() && + (inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT) != 0) + { + VMA_ASSERT(0 && "Specifying VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT while current custom pool doesn't support dedicated allocations."); + return VK_ERROR_FEATURE_NOT_PRESENT; + } + inoutCreateInfo.priority = inoutCreateInfo.pool->m_BlockVector.GetPriority(); + } + + if((inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT) != 0 && + (inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT) != 0) + { + VMA_ASSERT(0 && "Specifying VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT together with VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT makes no sense."); + return VK_ERROR_FEATURE_NOT_PRESENT; + } + + if(VMA_DEBUG_ALWAYS_DEDICATED_MEMORY && + (inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT) != 0) + { + inoutCreateInfo.flags |= VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT; + } + + // Non-auto USAGE values imply HOST_ACCESS flags. + // And so does VMA_MEMORY_USAGE_UNKNOWN because it is used with custom pools. + // Which specific flag is used doesn't matter. They change things only when used with VMA_MEMORY_USAGE_AUTO*. + // Otherwise they just protect from assert on mapping. + if(inoutCreateInfo.usage != VMA_MEMORY_USAGE_AUTO && + inoutCreateInfo.usage != VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE && + inoutCreateInfo.usage != VMA_MEMORY_USAGE_AUTO_PREFER_HOST) + { + if((inoutCreateInfo.flags & (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) == 0) + { + inoutCreateInfo.flags |= VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT; + } + } + + return VK_SUCCESS; +} + +VkResult VmaAllocator_T::AllocateMemory( + const VkMemoryRequirements& vkMemReq, + bool requiresDedicatedAllocation, + bool prefersDedicatedAllocation, + VkBuffer dedicatedBuffer, + VkImage dedicatedImage, + VkFlags dedicatedBufferImageUsage, + const VmaAllocationCreateInfo& createInfo, + VmaSuballocationType suballocType, + size_t allocationCount, + VmaAllocation* pAllocations) +{ + memset(pAllocations, 0, sizeof(VmaAllocation) * allocationCount); + + VMA_ASSERT(VmaIsPow2(vkMemReq.alignment)); + + if(vkMemReq.size == 0) + { + return VK_ERROR_INITIALIZATION_FAILED; + } + + VmaAllocationCreateInfo createInfoFinal = createInfo; + VkResult res = CalcAllocationParams(createInfoFinal, requiresDedicatedAllocation, prefersDedicatedAllocation); + if(res != VK_SUCCESS) + return res; + + if(createInfoFinal.pool != VK_NULL_HANDLE) + { + VmaBlockVector& blockVector = createInfoFinal.pool->m_BlockVector; + return AllocateMemoryOfType( + createInfoFinal.pool, + vkMemReq.size, + vkMemReq.alignment, + prefersDedicatedAllocation, + dedicatedBuffer, + dedicatedImage, + dedicatedBufferImageUsage, + createInfoFinal, + blockVector.GetMemoryTypeIndex(), + suballocType, + createInfoFinal.pool->m_DedicatedAllocations, + blockVector, + allocationCount, + pAllocations); + } + else + { + // Bit mask of memory Vulkan types acceptable for this allocation. + uint32_t memoryTypeBits = vkMemReq.memoryTypeBits; + uint32_t memTypeIndex = UINT32_MAX; + res = FindMemoryTypeIndex(memoryTypeBits, &createInfoFinal, dedicatedBufferImageUsage, &memTypeIndex); + // Can't find any single memory type matching requirements. res is VK_ERROR_FEATURE_NOT_PRESENT. + if(res != VK_SUCCESS) + return res; + do + { + VmaBlockVector* blockVector = m_pBlockVectors[memTypeIndex]; + VMA_ASSERT(blockVector && "Trying to use unsupported memory type!"); + res = AllocateMemoryOfType( + VK_NULL_HANDLE, + vkMemReq.size, + vkMemReq.alignment, + requiresDedicatedAllocation || prefersDedicatedAllocation, + dedicatedBuffer, + dedicatedImage, + dedicatedBufferImageUsage, + createInfoFinal, + memTypeIndex, + suballocType, + m_DedicatedAllocations[memTypeIndex], + *blockVector, + allocationCount, + pAllocations); + // Allocation succeeded + if(res == VK_SUCCESS) + return VK_SUCCESS; + + // Remove old memTypeIndex from list of possibilities. + memoryTypeBits &= ~(1u << memTypeIndex); + // Find alternative memTypeIndex. + res = FindMemoryTypeIndex(memoryTypeBits, &createInfoFinal, dedicatedBufferImageUsage, &memTypeIndex); + } while(res == VK_SUCCESS); + + // No other matching memory type index could be found. + // Not returning res, which is VK_ERROR_FEATURE_NOT_PRESENT, because we already failed to allocate once. + return VK_ERROR_OUT_OF_DEVICE_MEMORY; + } +} + +void VmaAllocator_T::FreeMemory( + size_t allocationCount, + const VmaAllocation* pAllocations) +{ + VMA_ASSERT(pAllocations); + + for(size_t allocIndex = allocationCount; allocIndex--; ) + { + VmaAllocation allocation = pAllocations[allocIndex]; + + if(allocation != VK_NULL_HANDLE) + { + if(VMA_DEBUG_INITIALIZE_ALLOCATIONS) + { + FillAllocation(allocation, VMA_ALLOCATION_FILL_PATTERN_DESTROYED); + } + + allocation->FreeName(this); + + switch(allocation->GetType()) + { + case VmaAllocation_T::ALLOCATION_TYPE_BLOCK: + { + VmaBlockVector* pBlockVector = VMA_NULL; + VmaPool hPool = allocation->GetParentPool(); + if(hPool != VK_NULL_HANDLE) + { + pBlockVector = &hPool->m_BlockVector; + } + else + { + const uint32_t memTypeIndex = allocation->GetMemoryTypeIndex(); + pBlockVector = m_pBlockVectors[memTypeIndex]; + VMA_ASSERT(pBlockVector && "Trying to free memory of unsupported type!"); + } + pBlockVector->Free(allocation); + } + break; + case VmaAllocation_T::ALLOCATION_TYPE_DEDICATED: + FreeDedicatedMemory(allocation); + break; + default: + VMA_ASSERT(0); + } + } + } +} + +void VmaAllocator_T::CalculateStatistics(VmaTotalStatistics* pStats) +{ + // Initialize. + VmaClearDetailedStatistics(pStats->total); + for(uint32_t i = 0; i < VK_MAX_MEMORY_TYPES; ++i) + VmaClearDetailedStatistics(pStats->memoryType[i]); + for(uint32_t i = 0; i < VK_MAX_MEMORY_HEAPS; ++i) + VmaClearDetailedStatistics(pStats->memoryHeap[i]); + + // Process default pools. + for(uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) + { + VmaBlockVector* const pBlockVector = m_pBlockVectors[memTypeIndex]; + if (pBlockVector != VMA_NULL) + pBlockVector->AddDetailedStatistics(pStats->memoryType[memTypeIndex]); + } + + // Process custom pools. + { + VmaMutexLockRead lock(m_PoolsMutex, m_UseMutex); + for(VmaPool pool = m_Pools.Front(); pool != VMA_NULL; pool = m_Pools.GetNext(pool)) + { + VmaBlockVector& blockVector = pool->m_BlockVector; + const uint32_t memTypeIndex = blockVector.GetMemoryTypeIndex(); + blockVector.AddDetailedStatistics(pStats->memoryType[memTypeIndex]); + pool->m_DedicatedAllocations.AddDetailedStatistics(pStats->memoryType[memTypeIndex]); + } + } + + // Process dedicated allocations. + for(uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) + { + m_DedicatedAllocations[memTypeIndex].AddDetailedStatistics(pStats->memoryType[memTypeIndex]); + } + + // Sum from memory types to memory heaps. + for(uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) + { + const uint32_t memHeapIndex = m_MemProps.memoryTypes[memTypeIndex].heapIndex; + VmaAddDetailedStatistics(pStats->memoryHeap[memHeapIndex], pStats->memoryType[memTypeIndex]); + } + + // Sum from memory heaps to total. + for(uint32_t memHeapIndex = 0; memHeapIndex < GetMemoryHeapCount(); ++memHeapIndex) + VmaAddDetailedStatistics(pStats->total, pStats->memoryHeap[memHeapIndex]); + + VMA_ASSERT(pStats->total.statistics.allocationCount == 0 || + pStats->total.allocationSizeMax >= pStats->total.allocationSizeMin); + VMA_ASSERT(pStats->total.unusedRangeCount == 0 || + pStats->total.unusedRangeSizeMax >= pStats->total.unusedRangeSizeMin); +} + +void VmaAllocator_T::GetHeapBudgets(VmaBudget* outBudgets, uint32_t firstHeap, uint32_t heapCount) +{ +#if VMA_MEMORY_BUDGET + if(m_UseExtMemoryBudget) + { + if(m_Budget.m_OperationsSinceBudgetFetch < 30) + { + VmaMutexLockRead lockRead(m_Budget.m_BudgetMutex, m_UseMutex); + for(uint32_t i = 0; i < heapCount; ++i, ++outBudgets) + { + const uint32_t heapIndex = firstHeap + i; + + outBudgets->statistics.blockCount = m_Budget.m_BlockCount[heapIndex]; + outBudgets->statistics.allocationCount = m_Budget.m_AllocationCount[heapIndex]; + outBudgets->statistics.blockBytes = m_Budget.m_BlockBytes[heapIndex]; + outBudgets->statistics.allocationBytes = m_Budget.m_AllocationBytes[heapIndex]; + + if(m_Budget.m_VulkanUsage[heapIndex] + outBudgets->statistics.blockBytes > m_Budget.m_BlockBytesAtBudgetFetch[heapIndex]) + { + outBudgets->usage = m_Budget.m_VulkanUsage[heapIndex] + + outBudgets->statistics.blockBytes - m_Budget.m_BlockBytesAtBudgetFetch[heapIndex]; + } + else + { + outBudgets->usage = 0; + } + + // Have to take MIN with heap size because explicit HeapSizeLimit is included in it. + outBudgets->budget = VMA_MIN( + m_Budget.m_VulkanBudget[heapIndex], m_MemProps.memoryHeaps[heapIndex].size); + } + } + else + { + UpdateVulkanBudget(); // Outside of mutex lock + GetHeapBudgets(outBudgets, firstHeap, heapCount); // Recursion + } + } + else +#endif + { + for(uint32_t i = 0; i < heapCount; ++i, ++outBudgets) + { + const uint32_t heapIndex = firstHeap + i; + + outBudgets->statistics.blockCount = m_Budget.m_BlockCount[heapIndex]; + outBudgets->statistics.allocationCount = m_Budget.m_AllocationCount[heapIndex]; + outBudgets->statistics.blockBytes = m_Budget.m_BlockBytes[heapIndex]; + outBudgets->statistics.allocationBytes = m_Budget.m_AllocationBytes[heapIndex]; + + outBudgets->usage = outBudgets->statistics.blockBytes; + outBudgets->budget = m_MemProps.memoryHeaps[heapIndex].size * 8 / 10; // 80% heuristics. + } + } +} + +void VmaAllocator_T::GetAllocationInfo(VmaAllocation hAllocation, VmaAllocationInfo* pAllocationInfo) +{ + pAllocationInfo->memoryType = hAllocation->GetMemoryTypeIndex(); + pAllocationInfo->deviceMemory = hAllocation->GetMemory(); + pAllocationInfo->offset = hAllocation->GetOffset(); + pAllocationInfo->size = hAllocation->GetSize(); + pAllocationInfo->pMappedData = hAllocation->GetMappedData(); + pAllocationInfo->pUserData = hAllocation->GetUserData(); + pAllocationInfo->pName = hAllocation->GetName(); +} + +VkResult VmaAllocator_T::CreatePool(const VmaPoolCreateInfo* pCreateInfo, VmaPool* pPool) +{ + VMA_DEBUG_LOG_FORMAT(" CreatePool: MemoryTypeIndex=%u, flags=%u", pCreateInfo->memoryTypeIndex, pCreateInfo->flags); + + VmaPoolCreateInfo newCreateInfo = *pCreateInfo; + + // Protection against uninitialized new structure member. If garbage data are left there, this pointer dereference would crash. + if(pCreateInfo->pMemoryAllocateNext) + { + VMA_ASSERT(((const VkBaseInStructure*)pCreateInfo->pMemoryAllocateNext)->sType != 0); + } + + if(newCreateInfo.maxBlockCount == 0) + { + newCreateInfo.maxBlockCount = SIZE_MAX; + } + if(newCreateInfo.minBlockCount > newCreateInfo.maxBlockCount) + { + return VK_ERROR_INITIALIZATION_FAILED; + } + // Memory type index out of range or forbidden. + if(pCreateInfo->memoryTypeIndex >= GetMemoryTypeCount() || + ((1u << pCreateInfo->memoryTypeIndex) & m_GlobalMemoryTypeBits) == 0) + { + return VK_ERROR_FEATURE_NOT_PRESENT; + } + if(newCreateInfo.minAllocationAlignment > 0) + { + VMA_ASSERT(VmaIsPow2(newCreateInfo.minAllocationAlignment)); + } + + const VkDeviceSize preferredBlockSize = CalcPreferredBlockSize(newCreateInfo.memoryTypeIndex); + + *pPool = vma_new(this, VmaPool_T)(this, newCreateInfo, preferredBlockSize); + + VkResult res = (*pPool)->m_BlockVector.CreateMinBlocks(); + if(res != VK_SUCCESS) + { + vma_delete(this, *pPool); + *pPool = VMA_NULL; + return res; + } + + // Add to m_Pools. + { + VmaMutexLockWrite lock(m_PoolsMutex, m_UseMutex); + (*pPool)->SetId(m_NextPoolId++); + m_Pools.PushBack(*pPool); + } + + return VK_SUCCESS; +} + +void VmaAllocator_T::DestroyPool(VmaPool pool) +{ + // Remove from m_Pools. + { + VmaMutexLockWrite lock(m_PoolsMutex, m_UseMutex); + m_Pools.Remove(pool); + } + + vma_delete(this, pool); +} + +void VmaAllocator_T::GetPoolStatistics(VmaPool pool, VmaStatistics* pPoolStats) +{ + VmaClearStatistics(*pPoolStats); + pool->m_BlockVector.AddStatistics(*pPoolStats); + pool->m_DedicatedAllocations.AddStatistics(*pPoolStats); +} + +void VmaAllocator_T::CalculatePoolStatistics(VmaPool pool, VmaDetailedStatistics* pPoolStats) +{ + VmaClearDetailedStatistics(*pPoolStats); + pool->m_BlockVector.AddDetailedStatistics(*pPoolStats); + pool->m_DedicatedAllocations.AddDetailedStatistics(*pPoolStats); +} + +void VmaAllocator_T::SetCurrentFrameIndex(uint32_t frameIndex) +{ + m_CurrentFrameIndex.store(frameIndex); + +#if VMA_MEMORY_BUDGET + if(m_UseExtMemoryBudget) + { + UpdateVulkanBudget(); + } +#endif // #if VMA_MEMORY_BUDGET +} + +VkResult VmaAllocator_T::CheckPoolCorruption(VmaPool hPool) +{ + return hPool->m_BlockVector.CheckCorruption(); +} + +VkResult VmaAllocator_T::CheckCorruption(uint32_t memoryTypeBits) +{ + VkResult finalRes = VK_ERROR_FEATURE_NOT_PRESENT; + + // Process default pools. + for(uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) + { + VmaBlockVector* const pBlockVector = m_pBlockVectors[memTypeIndex]; + if(pBlockVector != VMA_NULL) + { + VkResult localRes = pBlockVector->CheckCorruption(); + switch(localRes) + { + case VK_ERROR_FEATURE_NOT_PRESENT: + break; + case VK_SUCCESS: + finalRes = VK_SUCCESS; + break; + default: + return localRes; + } + } + } + + // Process custom pools. + { + VmaMutexLockRead lock(m_PoolsMutex, m_UseMutex); + for(VmaPool pool = m_Pools.Front(); pool != VMA_NULL; pool = m_Pools.GetNext(pool)) + { + if(((1u << pool->m_BlockVector.GetMemoryTypeIndex()) & memoryTypeBits) != 0) + { + VkResult localRes = pool->m_BlockVector.CheckCorruption(); + switch(localRes) + { + case VK_ERROR_FEATURE_NOT_PRESENT: + break; + case VK_SUCCESS: + finalRes = VK_SUCCESS; + break; + default: + return localRes; + } + } + } + } + + return finalRes; +} + +VkResult VmaAllocator_T::AllocateVulkanMemory(const VkMemoryAllocateInfo* pAllocateInfo, VkDeviceMemory* pMemory) +{ + AtomicTransactionalIncrement deviceMemoryCountIncrement; + const uint64_t prevDeviceMemoryCount = deviceMemoryCountIncrement.Increment(&m_DeviceMemoryCount); +#if VMA_DEBUG_DONT_EXCEED_MAX_MEMORY_ALLOCATION_COUNT + if(prevDeviceMemoryCount >= m_PhysicalDeviceProperties.limits.maxMemoryAllocationCount) + { + return VK_ERROR_TOO_MANY_OBJECTS; + } +#endif + + const uint32_t heapIndex = MemoryTypeIndexToHeapIndex(pAllocateInfo->memoryTypeIndex); + + // HeapSizeLimit is in effect for this heap. + if((m_HeapSizeLimitMask & (1u << heapIndex)) != 0) + { + const VkDeviceSize heapSize = m_MemProps.memoryHeaps[heapIndex].size; + VkDeviceSize blockBytes = m_Budget.m_BlockBytes[heapIndex]; + for(;;) + { + const VkDeviceSize blockBytesAfterAllocation = blockBytes + pAllocateInfo->allocationSize; + if(blockBytesAfterAllocation > heapSize) + { + return VK_ERROR_OUT_OF_DEVICE_MEMORY; + } + if(m_Budget.m_BlockBytes[heapIndex].compare_exchange_strong(blockBytes, blockBytesAfterAllocation)) + { + break; + } + } + } + else + { + m_Budget.m_BlockBytes[heapIndex] += pAllocateInfo->allocationSize; + } + ++m_Budget.m_BlockCount[heapIndex]; + + // VULKAN CALL vkAllocateMemory. + VkResult res = (*m_VulkanFunctions.vkAllocateMemory)(m_hDevice, pAllocateInfo, GetAllocationCallbacks(), pMemory); + + if(res == VK_SUCCESS) + { +#if VMA_MEMORY_BUDGET + ++m_Budget.m_OperationsSinceBudgetFetch; +#endif + + // Informative callback. + if(m_DeviceMemoryCallbacks.pfnAllocate != VMA_NULL) + { + (*m_DeviceMemoryCallbacks.pfnAllocate)(this, pAllocateInfo->memoryTypeIndex, *pMemory, pAllocateInfo->allocationSize, m_DeviceMemoryCallbacks.pUserData); + } + + deviceMemoryCountIncrement.Commit(); + } + else + { + --m_Budget.m_BlockCount[heapIndex]; + m_Budget.m_BlockBytes[heapIndex] -= pAllocateInfo->allocationSize; + } + + return res; +} + +void VmaAllocator_T::FreeVulkanMemory(uint32_t memoryType, VkDeviceSize size, VkDeviceMemory hMemory) +{ + // Informative callback. + if(m_DeviceMemoryCallbacks.pfnFree != VMA_NULL) + { + (*m_DeviceMemoryCallbacks.pfnFree)(this, memoryType, hMemory, size, m_DeviceMemoryCallbacks.pUserData); + } + + // VULKAN CALL vkFreeMemory. + (*m_VulkanFunctions.vkFreeMemory)(m_hDevice, hMemory, GetAllocationCallbacks()); + + const uint32_t heapIndex = MemoryTypeIndexToHeapIndex(memoryType); + --m_Budget.m_BlockCount[heapIndex]; + m_Budget.m_BlockBytes[heapIndex] -= size; + + --m_DeviceMemoryCount; +} + +VkResult VmaAllocator_T::BindVulkanBuffer( + VkDeviceMemory memory, + VkDeviceSize memoryOffset, + VkBuffer buffer, + const void* pNext) +{ + if(pNext != VMA_NULL) + { +#if VMA_VULKAN_VERSION >= 1001000 || VMA_BIND_MEMORY2 + if((m_UseKhrBindMemory2 || m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) && + m_VulkanFunctions.vkBindBufferMemory2KHR != VMA_NULL) + { + VkBindBufferMemoryInfoKHR bindBufferMemoryInfo = { VK_STRUCTURE_TYPE_BIND_BUFFER_MEMORY_INFO_KHR }; + bindBufferMemoryInfo.pNext = pNext; + bindBufferMemoryInfo.buffer = buffer; + bindBufferMemoryInfo.memory = memory; + bindBufferMemoryInfo.memoryOffset = memoryOffset; + return (*m_VulkanFunctions.vkBindBufferMemory2KHR)(m_hDevice, 1, &bindBufferMemoryInfo); + } + else +#endif // #if VMA_VULKAN_VERSION >= 1001000 || VMA_BIND_MEMORY2 + { + return VK_ERROR_EXTENSION_NOT_PRESENT; + } + } + else + { + return (*m_VulkanFunctions.vkBindBufferMemory)(m_hDevice, buffer, memory, memoryOffset); + } +} + +VkResult VmaAllocator_T::BindVulkanImage( + VkDeviceMemory memory, + VkDeviceSize memoryOffset, + VkImage image, + const void* pNext) +{ + if(pNext != VMA_NULL) + { +#if VMA_VULKAN_VERSION >= 1001000 || VMA_BIND_MEMORY2 + if((m_UseKhrBindMemory2 || m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) && + m_VulkanFunctions.vkBindImageMemory2KHR != VMA_NULL) + { + VkBindImageMemoryInfoKHR bindBufferMemoryInfo = { VK_STRUCTURE_TYPE_BIND_IMAGE_MEMORY_INFO_KHR }; + bindBufferMemoryInfo.pNext = pNext; + bindBufferMemoryInfo.image = image; + bindBufferMemoryInfo.memory = memory; + bindBufferMemoryInfo.memoryOffset = memoryOffset; + return (*m_VulkanFunctions.vkBindImageMemory2KHR)(m_hDevice, 1, &bindBufferMemoryInfo); + } + else +#endif // #if VMA_BIND_MEMORY2 + { + return VK_ERROR_EXTENSION_NOT_PRESENT; + } + } + else + { + return (*m_VulkanFunctions.vkBindImageMemory)(m_hDevice, image, memory, memoryOffset); + } +} + +VkResult VmaAllocator_T::Map(VmaAllocation hAllocation, void** ppData) +{ + switch(hAllocation->GetType()) + { + case VmaAllocation_T::ALLOCATION_TYPE_BLOCK: + { + VmaDeviceMemoryBlock* const pBlock = hAllocation->GetBlock(); + char *pBytes = VMA_NULL; + VkResult res = pBlock->Map(this, 1, (void**)&pBytes); + if(res == VK_SUCCESS) + { + *ppData = pBytes + (ptrdiff_t)hAllocation->GetOffset(); + hAllocation->BlockAllocMap(); + } + return res; + } + VMA_FALLTHROUGH; // Fallthrough + case VmaAllocation_T::ALLOCATION_TYPE_DEDICATED: + return hAllocation->DedicatedAllocMap(this, ppData); + default: + VMA_ASSERT(0); + return VK_ERROR_MEMORY_MAP_FAILED; + } +} + +void VmaAllocator_T::Unmap(VmaAllocation hAllocation) +{ + switch(hAllocation->GetType()) + { + case VmaAllocation_T::ALLOCATION_TYPE_BLOCK: + { + VmaDeviceMemoryBlock* const pBlock = hAllocation->GetBlock(); + hAllocation->BlockAllocUnmap(); + pBlock->Unmap(this, 1); + } + break; + case VmaAllocation_T::ALLOCATION_TYPE_DEDICATED: + hAllocation->DedicatedAllocUnmap(this); + break; + default: + VMA_ASSERT(0); + } +} + +VkResult VmaAllocator_T::BindBufferMemory( + VmaAllocation hAllocation, + VkDeviceSize allocationLocalOffset, + VkBuffer hBuffer, + const void* pNext) +{ + VkResult res = VK_ERROR_UNKNOWN; + switch(hAllocation->GetType()) + { + case VmaAllocation_T::ALLOCATION_TYPE_DEDICATED: + res = BindVulkanBuffer(hAllocation->GetMemory(), allocationLocalOffset, hBuffer, pNext); + break; + case VmaAllocation_T::ALLOCATION_TYPE_BLOCK: + { + VmaDeviceMemoryBlock* const pBlock = hAllocation->GetBlock(); + VMA_ASSERT(pBlock && "Binding buffer to allocation that doesn't belong to any block."); + res = pBlock->BindBufferMemory(this, hAllocation, allocationLocalOffset, hBuffer, pNext); + break; + } + default: + VMA_ASSERT(0); + } + return res; +} + +VkResult VmaAllocator_T::BindImageMemory( + VmaAllocation hAllocation, + VkDeviceSize allocationLocalOffset, + VkImage hImage, + const void* pNext) +{ + VkResult res = VK_ERROR_UNKNOWN; + switch(hAllocation->GetType()) + { + case VmaAllocation_T::ALLOCATION_TYPE_DEDICATED: + res = BindVulkanImage(hAllocation->GetMemory(), allocationLocalOffset, hImage, pNext); + break; + case VmaAllocation_T::ALLOCATION_TYPE_BLOCK: + { + VmaDeviceMemoryBlock* pBlock = hAllocation->GetBlock(); + VMA_ASSERT(pBlock && "Binding image to allocation that doesn't belong to any block."); + res = pBlock->BindImageMemory(this, hAllocation, allocationLocalOffset, hImage, pNext); + break; + } + default: + VMA_ASSERT(0); + } + return res; +} + +VkResult VmaAllocator_T::FlushOrInvalidateAllocation( + VmaAllocation hAllocation, + VkDeviceSize offset, VkDeviceSize size, + VMA_CACHE_OPERATION op) +{ + VkResult res = VK_SUCCESS; + + VkMappedMemoryRange memRange = {}; + if(GetFlushOrInvalidateRange(hAllocation, offset, size, memRange)) + { + switch(op) + { + case VMA_CACHE_FLUSH: + res = (*GetVulkanFunctions().vkFlushMappedMemoryRanges)(m_hDevice, 1, &memRange); + break; + case VMA_CACHE_INVALIDATE: + res = (*GetVulkanFunctions().vkInvalidateMappedMemoryRanges)(m_hDevice, 1, &memRange); + break; + default: + VMA_ASSERT(0); + } + } + // else: Just ignore this call. + return res; +} + +VkResult VmaAllocator_T::FlushOrInvalidateAllocations( + uint32_t allocationCount, + const VmaAllocation* allocations, + const VkDeviceSize* offsets, const VkDeviceSize* sizes, + VMA_CACHE_OPERATION op) +{ + typedef VmaStlAllocator RangeAllocator; + typedef VmaSmallVector RangeVector; + RangeVector ranges = RangeVector(RangeAllocator(GetAllocationCallbacks())); + + for(uint32_t allocIndex = 0; allocIndex < allocationCount; ++allocIndex) + { + const VmaAllocation alloc = allocations[allocIndex]; + const VkDeviceSize offset = offsets != VMA_NULL ? offsets[allocIndex] : 0; + const VkDeviceSize size = sizes != VMA_NULL ? sizes[allocIndex] : VK_WHOLE_SIZE; + VkMappedMemoryRange newRange; + if(GetFlushOrInvalidateRange(alloc, offset, size, newRange)) + { + ranges.push_back(newRange); + } + } + + VkResult res = VK_SUCCESS; + if(!ranges.empty()) + { + switch(op) + { + case VMA_CACHE_FLUSH: + res = (*GetVulkanFunctions().vkFlushMappedMemoryRanges)(m_hDevice, (uint32_t)ranges.size(), ranges.data()); + break; + case VMA_CACHE_INVALIDATE: + res = (*GetVulkanFunctions().vkInvalidateMappedMemoryRanges)(m_hDevice, (uint32_t)ranges.size(), ranges.data()); + break; + default: + VMA_ASSERT(0); + } + } + // else: Just ignore this call. + return res; +} + +void VmaAllocator_T::FreeDedicatedMemory(const VmaAllocation allocation) +{ + VMA_ASSERT(allocation && allocation->GetType() == VmaAllocation_T::ALLOCATION_TYPE_DEDICATED); + + const uint32_t memTypeIndex = allocation->GetMemoryTypeIndex(); + VmaPool parentPool = allocation->GetParentPool(); + if(parentPool == VK_NULL_HANDLE) + { + // Default pool + m_DedicatedAllocations[memTypeIndex].Unregister(allocation); + } + else + { + // Custom pool + parentPool->m_DedicatedAllocations.Unregister(allocation); + } + + VkDeviceMemory hMemory = allocation->GetMemory(); + + /* + There is no need to call this, because Vulkan spec allows to skip vkUnmapMemory + before vkFreeMemory. + + if(allocation->GetMappedData() != VMA_NULL) + { + (*m_VulkanFunctions.vkUnmapMemory)(m_hDevice, hMemory); + } + */ + + FreeVulkanMemory(memTypeIndex, allocation->GetSize(), hMemory); + + m_Budget.RemoveAllocation(MemoryTypeIndexToHeapIndex(allocation->GetMemoryTypeIndex()), allocation->GetSize()); + m_AllocationObjectAllocator.Free(allocation); + + VMA_DEBUG_LOG_FORMAT(" Freed DedicatedMemory MemoryTypeIndex=%u", memTypeIndex); +} + +uint32_t VmaAllocator_T::CalculateGpuDefragmentationMemoryTypeBits() const +{ + VkBufferCreateInfo dummyBufCreateInfo; + VmaFillGpuDefragmentationBufferCreateInfo(dummyBufCreateInfo); + + uint32_t memoryTypeBits = 0; + + // Create buffer. + VkBuffer buf = VK_NULL_HANDLE; + VkResult res = (*GetVulkanFunctions().vkCreateBuffer)( + m_hDevice, &dummyBufCreateInfo, GetAllocationCallbacks(), &buf); + if(res == VK_SUCCESS) + { + // Query for supported memory types. + VkMemoryRequirements memReq; + (*GetVulkanFunctions().vkGetBufferMemoryRequirements)(m_hDevice, buf, &memReq); + memoryTypeBits = memReq.memoryTypeBits; + + // Destroy buffer. + (*GetVulkanFunctions().vkDestroyBuffer)(m_hDevice, buf, GetAllocationCallbacks()); + } + + return memoryTypeBits; +} + +uint32_t VmaAllocator_T::CalculateGlobalMemoryTypeBits() const +{ + // Make sure memory information is already fetched. + VMA_ASSERT(GetMemoryTypeCount() > 0); + + uint32_t memoryTypeBits = UINT32_MAX; + + if(!m_UseAmdDeviceCoherentMemory) + { + // Exclude memory types that have VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD. + for(uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) + { + if((m_MemProps.memoryTypes[memTypeIndex].propertyFlags & VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD_COPY) != 0) + { + memoryTypeBits &= ~(1u << memTypeIndex); + } + } + } + + return memoryTypeBits; +} + +bool VmaAllocator_T::GetFlushOrInvalidateRange( + VmaAllocation allocation, + VkDeviceSize offset, VkDeviceSize size, + VkMappedMemoryRange& outRange) const +{ + const uint32_t memTypeIndex = allocation->GetMemoryTypeIndex(); + if(size > 0 && IsMemoryTypeNonCoherent(memTypeIndex)) + { + const VkDeviceSize nonCoherentAtomSize = m_PhysicalDeviceProperties.limits.nonCoherentAtomSize; + const VkDeviceSize allocationSize = allocation->GetSize(); + VMA_ASSERT(offset <= allocationSize); + + outRange.sType = VK_STRUCTURE_TYPE_MAPPED_MEMORY_RANGE; + outRange.pNext = VMA_NULL; + outRange.memory = allocation->GetMemory(); + + switch(allocation->GetType()) + { + case VmaAllocation_T::ALLOCATION_TYPE_DEDICATED: + outRange.offset = VmaAlignDown(offset, nonCoherentAtomSize); + if(size == VK_WHOLE_SIZE) + { + outRange.size = allocationSize - outRange.offset; + } + else + { + VMA_ASSERT(offset + size <= allocationSize); + outRange.size = VMA_MIN( + VmaAlignUp(size + (offset - outRange.offset), nonCoherentAtomSize), + allocationSize - outRange.offset); + } + break; + case VmaAllocation_T::ALLOCATION_TYPE_BLOCK: + { + // 1. Still within this allocation. + outRange.offset = VmaAlignDown(offset, nonCoherentAtomSize); + if(size == VK_WHOLE_SIZE) + { + size = allocationSize - offset; + } + else + { + VMA_ASSERT(offset + size <= allocationSize); + } + outRange.size = VmaAlignUp(size + (offset - outRange.offset), nonCoherentAtomSize); + + // 2. Adjust to whole block. + const VkDeviceSize allocationOffset = allocation->GetOffset(); + VMA_ASSERT(allocationOffset % nonCoherentAtomSize == 0); + const VkDeviceSize blockSize = allocation->GetBlock()->m_pMetadata->GetSize(); + outRange.offset += allocationOffset; + outRange.size = VMA_MIN(outRange.size, blockSize - outRange.offset); + + break; + } + default: + VMA_ASSERT(0); + } + return true; + } + return false; +} + +#if VMA_MEMORY_BUDGET +void VmaAllocator_T::UpdateVulkanBudget() +{ + VMA_ASSERT(m_UseExtMemoryBudget); + + VkPhysicalDeviceMemoryProperties2KHR memProps = { VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_MEMORY_PROPERTIES_2_KHR }; + + VkPhysicalDeviceMemoryBudgetPropertiesEXT budgetProps = { VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_MEMORY_BUDGET_PROPERTIES_EXT }; + VmaPnextChainPushFront(&memProps, &budgetProps); + + GetVulkanFunctions().vkGetPhysicalDeviceMemoryProperties2KHR(m_PhysicalDevice, &memProps); + + { + VmaMutexLockWrite lockWrite(m_Budget.m_BudgetMutex, m_UseMutex); + + for(uint32_t heapIndex = 0; heapIndex < GetMemoryHeapCount(); ++heapIndex) + { + m_Budget.m_VulkanUsage[heapIndex] = budgetProps.heapUsage[heapIndex]; + m_Budget.m_VulkanBudget[heapIndex] = budgetProps.heapBudget[heapIndex]; + m_Budget.m_BlockBytesAtBudgetFetch[heapIndex] = m_Budget.m_BlockBytes[heapIndex].load(); + + // Some bugged drivers return the budget incorrectly, e.g. 0 or much bigger than heap size. + if(m_Budget.m_VulkanBudget[heapIndex] == 0) + { + m_Budget.m_VulkanBudget[heapIndex] = m_MemProps.memoryHeaps[heapIndex].size * 8 / 10; // 80% heuristics. + } + else if(m_Budget.m_VulkanBudget[heapIndex] > m_MemProps.memoryHeaps[heapIndex].size) + { + m_Budget.m_VulkanBudget[heapIndex] = m_MemProps.memoryHeaps[heapIndex].size; + } + if(m_Budget.m_VulkanUsage[heapIndex] == 0 && m_Budget.m_BlockBytesAtBudgetFetch[heapIndex] > 0) + { + m_Budget.m_VulkanUsage[heapIndex] = m_Budget.m_BlockBytesAtBudgetFetch[heapIndex]; + } + } + m_Budget.m_OperationsSinceBudgetFetch = 0; + } +} +#endif // VMA_MEMORY_BUDGET + +void VmaAllocator_T::FillAllocation(const VmaAllocation hAllocation, uint8_t pattern) +{ + if(VMA_DEBUG_INITIALIZE_ALLOCATIONS && + hAllocation->IsMappingAllowed() && + (m_MemProps.memoryTypes[hAllocation->GetMemoryTypeIndex()].propertyFlags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) != 0) + { + void* pData = VMA_NULL; + VkResult res = Map(hAllocation, &pData); + if(res == VK_SUCCESS) + { + memset(pData, (int)pattern, (size_t)hAllocation->GetSize()); + FlushOrInvalidateAllocation(hAllocation, 0, VK_WHOLE_SIZE, VMA_CACHE_FLUSH); + Unmap(hAllocation); + } + else + { + VMA_ASSERT(0 && "VMA_DEBUG_INITIALIZE_ALLOCATIONS is enabled, but couldn't map memory to fill allocation."); + } + } +} + +uint32_t VmaAllocator_T::GetGpuDefragmentationMemoryTypeBits() +{ + uint32_t memoryTypeBits = m_GpuDefragmentationMemoryTypeBits.load(); + if(memoryTypeBits == UINT32_MAX) + { + memoryTypeBits = CalculateGpuDefragmentationMemoryTypeBits(); + m_GpuDefragmentationMemoryTypeBits.store(memoryTypeBits); + } + return memoryTypeBits; +} + +#if VMA_STATS_STRING_ENABLED +void VmaAllocator_T::PrintDetailedMap(VmaJsonWriter& json) +{ + json.WriteString("DefaultPools"); + json.BeginObject(); + { + for (uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) + { + VmaBlockVector* pBlockVector = m_pBlockVectors[memTypeIndex]; + VmaDedicatedAllocationList& dedicatedAllocList = m_DedicatedAllocations[memTypeIndex]; + if (pBlockVector != VMA_NULL) + { + json.BeginString("Type "); + json.ContinueString(memTypeIndex); + json.EndString(); + json.BeginObject(); + { + json.WriteString("PreferredBlockSize"); + json.WriteNumber(pBlockVector->GetPreferredBlockSize()); + + json.WriteString("Blocks"); + pBlockVector->PrintDetailedMap(json); + + json.WriteString("DedicatedAllocations"); + dedicatedAllocList.BuildStatsString(json); + } + json.EndObject(); + } + } + } + json.EndObject(); + + json.WriteString("CustomPools"); + json.BeginObject(); + { + VmaMutexLockRead lock(m_PoolsMutex, m_UseMutex); + if (!m_Pools.IsEmpty()) + { + for (uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) + { + bool displayType = true; + size_t index = 0; + for (VmaPool pool = m_Pools.Front(); pool != VMA_NULL; pool = m_Pools.GetNext(pool)) + { + VmaBlockVector& blockVector = pool->m_BlockVector; + if (blockVector.GetMemoryTypeIndex() == memTypeIndex) + { + if (displayType) + { + json.BeginString("Type "); + json.ContinueString(memTypeIndex); + json.EndString(); + json.BeginArray(); + displayType = false; + } + + json.BeginObject(); + { + json.WriteString("Name"); + json.BeginString(); + json.ContinueString((uint64_t)index++); + if (pool->GetName()) + { + json.ContinueString(" - "); + json.ContinueString(pool->GetName()); + } + json.EndString(); + + json.WriteString("PreferredBlockSize"); + json.WriteNumber(blockVector.GetPreferredBlockSize()); + + json.WriteString("Blocks"); + blockVector.PrintDetailedMap(json); + + json.WriteString("DedicatedAllocations"); + pool->m_DedicatedAllocations.BuildStatsString(json); + } + json.EndObject(); + } + } + + if (!displayType) + json.EndArray(); + } + } + } + json.EndObject(); +} +#endif // VMA_STATS_STRING_ENABLED +#endif // _VMA_ALLOCATOR_T_FUNCTIONS + + +#ifndef _VMA_PUBLIC_INTERFACE +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAllocator( + const VmaAllocatorCreateInfo* pCreateInfo, + VmaAllocator* pAllocator) +{ + VMA_ASSERT(pCreateInfo && pAllocator); + VMA_ASSERT(pCreateInfo->vulkanApiVersion == 0 || + (VK_VERSION_MAJOR(pCreateInfo->vulkanApiVersion) == 1 && VK_VERSION_MINOR(pCreateInfo->vulkanApiVersion) <= 3)); + VMA_DEBUG_LOG("vmaCreateAllocator"); + *pAllocator = vma_new(pCreateInfo->pAllocationCallbacks, VmaAllocator_T)(pCreateInfo); + VkResult result = (*pAllocator)->Init(pCreateInfo); + if(result < 0) + { + vma_delete(pCreateInfo->pAllocationCallbacks, *pAllocator); + *pAllocator = VK_NULL_HANDLE; + } + return result; +} + +VMA_CALL_PRE void VMA_CALL_POST vmaDestroyAllocator( + VmaAllocator allocator) +{ + if(allocator != VK_NULL_HANDLE) + { + VMA_DEBUG_LOG("vmaDestroyAllocator"); + VkAllocationCallbacks allocationCallbacks = allocator->m_AllocationCallbacks; // Have to copy the callbacks when destroying. + vma_delete(&allocationCallbacks, allocator); + } +} + +VMA_CALL_PRE void VMA_CALL_POST vmaGetAllocatorInfo(VmaAllocator allocator, VmaAllocatorInfo* pAllocatorInfo) +{ + VMA_ASSERT(allocator && pAllocatorInfo); + pAllocatorInfo->instance = allocator->m_hInstance; + pAllocatorInfo->physicalDevice = allocator->GetPhysicalDevice(); + pAllocatorInfo->device = allocator->m_hDevice; +} + +VMA_CALL_PRE void VMA_CALL_POST vmaGetPhysicalDeviceProperties( + VmaAllocator allocator, + const VkPhysicalDeviceProperties **ppPhysicalDeviceProperties) +{ + VMA_ASSERT(allocator && ppPhysicalDeviceProperties); + *ppPhysicalDeviceProperties = &allocator->m_PhysicalDeviceProperties; +} + +VMA_CALL_PRE void VMA_CALL_POST vmaGetMemoryProperties( + VmaAllocator allocator, + const VkPhysicalDeviceMemoryProperties** ppPhysicalDeviceMemoryProperties) +{ + VMA_ASSERT(allocator && ppPhysicalDeviceMemoryProperties); + *ppPhysicalDeviceMemoryProperties = &allocator->m_MemProps; +} + +VMA_CALL_PRE void VMA_CALL_POST vmaGetMemoryTypeProperties( + VmaAllocator allocator, + uint32_t memoryTypeIndex, + VkMemoryPropertyFlags* pFlags) +{ + VMA_ASSERT(allocator && pFlags); + VMA_ASSERT(memoryTypeIndex < allocator->GetMemoryTypeCount()); + *pFlags = allocator->m_MemProps.memoryTypes[memoryTypeIndex].propertyFlags; +} + +VMA_CALL_PRE void VMA_CALL_POST vmaSetCurrentFrameIndex( + VmaAllocator allocator, + uint32_t frameIndex) +{ + VMA_ASSERT(allocator); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + allocator->SetCurrentFrameIndex(frameIndex); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaCalculateStatistics( + VmaAllocator allocator, + VmaTotalStatistics* pStats) +{ + VMA_ASSERT(allocator && pStats); + VMA_DEBUG_GLOBAL_MUTEX_LOCK + allocator->CalculateStatistics(pStats); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaGetHeapBudgets( + VmaAllocator allocator, + VmaBudget* pBudgets) +{ + VMA_ASSERT(allocator && pBudgets); + VMA_DEBUG_GLOBAL_MUTEX_LOCK + allocator->GetHeapBudgets(pBudgets, 0, allocator->GetMemoryHeapCount()); +} + +#if VMA_STATS_STRING_ENABLED + +VMA_CALL_PRE void VMA_CALL_POST vmaBuildStatsString( + VmaAllocator allocator, + char** ppStatsString, + VkBool32 detailedMap) +{ + VMA_ASSERT(allocator && ppStatsString); + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + VmaStringBuilder sb(allocator->GetAllocationCallbacks()); + { + VmaBudget budgets[VK_MAX_MEMORY_HEAPS]; + allocator->GetHeapBudgets(budgets, 0, allocator->GetMemoryHeapCount()); + + VmaTotalStatistics stats; + allocator->CalculateStatistics(&stats); + + VmaJsonWriter json(allocator->GetAllocationCallbacks(), sb); + json.BeginObject(); + { + json.WriteString("General"); + json.BeginObject(); + { + const VkPhysicalDeviceProperties& deviceProperties = allocator->m_PhysicalDeviceProperties; + const VkPhysicalDeviceMemoryProperties& memoryProperties = allocator->m_MemProps; + + json.WriteString("API"); + json.WriteString("Vulkan"); + + json.WriteString("apiVersion"); + json.BeginString(); + json.ContinueString(VK_VERSION_MAJOR(deviceProperties.apiVersion)); + json.ContinueString("."); + json.ContinueString(VK_VERSION_MINOR(deviceProperties.apiVersion)); + json.ContinueString("."); + json.ContinueString(VK_VERSION_PATCH(deviceProperties.apiVersion)); + json.EndString(); + + json.WriteString("GPU"); + json.WriteString(deviceProperties.deviceName); + json.WriteString("deviceType"); + json.WriteNumber(static_cast(deviceProperties.deviceType)); + + json.WriteString("maxMemoryAllocationCount"); + json.WriteNumber(deviceProperties.limits.maxMemoryAllocationCount); + json.WriteString("bufferImageGranularity"); + json.WriteNumber(deviceProperties.limits.bufferImageGranularity); + json.WriteString("nonCoherentAtomSize"); + json.WriteNumber(deviceProperties.limits.nonCoherentAtomSize); + + json.WriteString("memoryHeapCount"); + json.WriteNumber(memoryProperties.memoryHeapCount); + json.WriteString("memoryTypeCount"); + json.WriteNumber(memoryProperties.memoryTypeCount); + } + json.EndObject(); + } + { + json.WriteString("Total"); + VmaPrintDetailedStatistics(json, stats.total); + } + { + json.WriteString("MemoryInfo"); + json.BeginObject(); + { + for (uint32_t heapIndex = 0; heapIndex < allocator->GetMemoryHeapCount(); ++heapIndex) + { + json.BeginString("Heap "); + json.ContinueString(heapIndex); + json.EndString(); + json.BeginObject(); + { + const VkMemoryHeap& heapInfo = allocator->m_MemProps.memoryHeaps[heapIndex]; + json.WriteString("Flags"); + json.BeginArray(true); + { + if (heapInfo.flags & VK_MEMORY_HEAP_DEVICE_LOCAL_BIT) + json.WriteString("DEVICE_LOCAL"); + #if VMA_VULKAN_VERSION >= 1001000 + if (heapInfo.flags & VK_MEMORY_HEAP_MULTI_INSTANCE_BIT) + json.WriteString("MULTI_INSTANCE"); + #endif + + VkMemoryHeapFlags flags = heapInfo.flags & + ~(VK_MEMORY_HEAP_DEVICE_LOCAL_BIT + #if VMA_VULKAN_VERSION >= 1001000 + | VK_MEMORY_HEAP_MULTI_INSTANCE_BIT + #endif + ); + if (flags != 0) + json.WriteNumber(flags); + } + json.EndArray(); + + json.WriteString("Size"); + json.WriteNumber(heapInfo.size); + + json.WriteString("Budget"); + json.BeginObject(); + { + json.WriteString("BudgetBytes"); + json.WriteNumber(budgets[heapIndex].budget); + json.WriteString("UsageBytes"); + json.WriteNumber(budgets[heapIndex].usage); + } + json.EndObject(); + + json.WriteString("Stats"); + VmaPrintDetailedStatistics(json, stats.memoryHeap[heapIndex]); + + json.WriteString("MemoryPools"); + json.BeginObject(); + { + for (uint32_t typeIndex = 0; typeIndex < allocator->GetMemoryTypeCount(); ++typeIndex) + { + if (allocator->MemoryTypeIndexToHeapIndex(typeIndex) == heapIndex) + { + json.BeginString("Type "); + json.ContinueString(typeIndex); + json.EndString(); + json.BeginObject(); + { + json.WriteString("Flags"); + json.BeginArray(true); + { + VkMemoryPropertyFlags flags = allocator->m_MemProps.memoryTypes[typeIndex].propertyFlags; + if (flags & VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT) + json.WriteString("DEVICE_LOCAL"); + if (flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) + json.WriteString("HOST_VISIBLE"); + if (flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT) + json.WriteString("HOST_COHERENT"); + if (flags & VK_MEMORY_PROPERTY_HOST_CACHED_BIT) + json.WriteString("HOST_CACHED"); + if (flags & VK_MEMORY_PROPERTY_LAZILY_ALLOCATED_BIT) + json.WriteString("LAZILY_ALLOCATED"); + #if VMA_VULKAN_VERSION >= 1001000 + if (flags & VK_MEMORY_PROPERTY_PROTECTED_BIT) + json.WriteString("PROTECTED"); + #endif + #if VK_AMD_device_coherent_memory + if (flags & VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD_COPY) + json.WriteString("DEVICE_COHERENT_AMD"); + if (flags & VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD_COPY) + json.WriteString("DEVICE_UNCACHED_AMD"); + #endif + + flags &= ~(VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT + #if VMA_VULKAN_VERSION >= 1001000 + | VK_MEMORY_PROPERTY_LAZILY_ALLOCATED_BIT + #endif + #if VK_AMD_device_coherent_memory + | VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD_COPY + | VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD_COPY + #endif + | VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT + | VK_MEMORY_PROPERTY_HOST_COHERENT_BIT + | VK_MEMORY_PROPERTY_HOST_CACHED_BIT); + if (flags != 0) + json.WriteNumber(flags); + } + json.EndArray(); + + json.WriteString("Stats"); + VmaPrintDetailedStatistics(json, stats.memoryType[typeIndex]); + } + json.EndObject(); + } + } + + } + json.EndObject(); + } + json.EndObject(); + } + } + json.EndObject(); + } + + if (detailedMap == VK_TRUE) + allocator->PrintDetailedMap(json); + + json.EndObject(); + } + + *ppStatsString = VmaCreateStringCopy(allocator->GetAllocationCallbacks(), sb.GetData(), sb.GetLength()); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaFreeStatsString( + VmaAllocator allocator, + char* pStatsString) +{ + if(pStatsString != VMA_NULL) + { + VMA_ASSERT(allocator); + VmaFreeString(allocator->GetAllocationCallbacks(), pStatsString); + } +} + +#endif // VMA_STATS_STRING_ENABLED + +/* +This function is not protected by any mutex because it just reads immutable data. +*/ +VMA_CALL_PRE VkResult VMA_CALL_POST vmaFindMemoryTypeIndex( + VmaAllocator allocator, + uint32_t memoryTypeBits, + const VmaAllocationCreateInfo* pAllocationCreateInfo, + uint32_t* pMemoryTypeIndex) +{ + VMA_ASSERT(allocator != VK_NULL_HANDLE); + VMA_ASSERT(pAllocationCreateInfo != VMA_NULL); + VMA_ASSERT(pMemoryTypeIndex != VMA_NULL); + + return allocator->FindMemoryTypeIndex(memoryTypeBits, pAllocationCreateInfo, UINT32_MAX, pMemoryTypeIndex); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaFindMemoryTypeIndexForBufferInfo( + VmaAllocator allocator, + const VkBufferCreateInfo* pBufferCreateInfo, + const VmaAllocationCreateInfo* pAllocationCreateInfo, + uint32_t* pMemoryTypeIndex) +{ + VMA_ASSERT(allocator != VK_NULL_HANDLE); + VMA_ASSERT(pBufferCreateInfo != VMA_NULL); + VMA_ASSERT(pAllocationCreateInfo != VMA_NULL); + VMA_ASSERT(pMemoryTypeIndex != VMA_NULL); + + const VkDevice hDev = allocator->m_hDevice; + const VmaVulkanFunctions* funcs = &allocator->GetVulkanFunctions(); + VkResult res; + +#if VMA_VULKAN_VERSION >= 1003000 + if(funcs->vkGetDeviceBufferMemoryRequirements) + { + // Can query straight from VkBufferCreateInfo :) + VkDeviceBufferMemoryRequirements devBufMemReq = {VK_STRUCTURE_TYPE_DEVICE_BUFFER_MEMORY_REQUIREMENTS}; + devBufMemReq.pCreateInfo = pBufferCreateInfo; + + VkMemoryRequirements2 memReq = {VK_STRUCTURE_TYPE_MEMORY_REQUIREMENTS_2}; + (*funcs->vkGetDeviceBufferMemoryRequirements)(hDev, &devBufMemReq, &memReq); + + res = allocator->FindMemoryTypeIndex( + memReq.memoryRequirements.memoryTypeBits, pAllocationCreateInfo, pBufferCreateInfo->usage, pMemoryTypeIndex); + } + else +#endif // #if VMA_VULKAN_VERSION >= 1003000 + { + // Must create a dummy buffer to query :( + VkBuffer hBuffer = VK_NULL_HANDLE; + res = funcs->vkCreateBuffer( + hDev, pBufferCreateInfo, allocator->GetAllocationCallbacks(), &hBuffer); + if(res == VK_SUCCESS) + { + VkMemoryRequirements memReq = {}; + funcs->vkGetBufferMemoryRequirements(hDev, hBuffer, &memReq); + + res = allocator->FindMemoryTypeIndex( + memReq.memoryTypeBits, pAllocationCreateInfo, pBufferCreateInfo->usage, pMemoryTypeIndex); + + funcs->vkDestroyBuffer( + hDev, hBuffer, allocator->GetAllocationCallbacks()); + } + } + return res; +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaFindMemoryTypeIndexForImageInfo( + VmaAllocator allocator, + const VkImageCreateInfo* pImageCreateInfo, + const VmaAllocationCreateInfo* pAllocationCreateInfo, + uint32_t* pMemoryTypeIndex) +{ + VMA_ASSERT(allocator != VK_NULL_HANDLE); + VMA_ASSERT(pImageCreateInfo != VMA_NULL); + VMA_ASSERT(pAllocationCreateInfo != VMA_NULL); + VMA_ASSERT(pMemoryTypeIndex != VMA_NULL); + + const VkDevice hDev = allocator->m_hDevice; + const VmaVulkanFunctions* funcs = &allocator->GetVulkanFunctions(); + VkResult res; + +#if VMA_VULKAN_VERSION >= 1003000 + if(funcs->vkGetDeviceImageMemoryRequirements) + { + // Can query straight from VkImageCreateInfo :) + VkDeviceImageMemoryRequirements devImgMemReq = {VK_STRUCTURE_TYPE_DEVICE_IMAGE_MEMORY_REQUIREMENTS}; + devImgMemReq.pCreateInfo = pImageCreateInfo; + VMA_ASSERT(pImageCreateInfo->tiling != VK_IMAGE_TILING_DRM_FORMAT_MODIFIER_EXT_COPY && (pImageCreateInfo->flags & VK_IMAGE_CREATE_DISJOINT_BIT_COPY) == 0 && + "Cannot use this VkImageCreateInfo with vmaFindMemoryTypeIndexForImageInfo as I don't know what to pass as VkDeviceImageMemoryRequirements::planeAspect."); + + VkMemoryRequirements2 memReq = {VK_STRUCTURE_TYPE_MEMORY_REQUIREMENTS_2}; + (*funcs->vkGetDeviceImageMemoryRequirements)(hDev, &devImgMemReq, &memReq); + + res = allocator->FindMemoryTypeIndex( + memReq.memoryRequirements.memoryTypeBits, pAllocationCreateInfo, pImageCreateInfo->usage, pMemoryTypeIndex); + } + else +#endif // #if VMA_VULKAN_VERSION >= 1003000 + { + // Must create a dummy image to query :( + VkImage hImage = VK_NULL_HANDLE; + res = funcs->vkCreateImage( + hDev, pImageCreateInfo, allocator->GetAllocationCallbacks(), &hImage); + if(res == VK_SUCCESS) + { + VkMemoryRequirements memReq = {}; + funcs->vkGetImageMemoryRequirements(hDev, hImage, &memReq); + + res = allocator->FindMemoryTypeIndex( + memReq.memoryTypeBits, pAllocationCreateInfo, pImageCreateInfo->usage, pMemoryTypeIndex); + + funcs->vkDestroyImage( + hDev, hImage, allocator->GetAllocationCallbacks()); + } + } + return res; +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreatePool( + VmaAllocator allocator, + const VmaPoolCreateInfo* pCreateInfo, + VmaPool* pPool) +{ + VMA_ASSERT(allocator && pCreateInfo && pPool); + + VMA_DEBUG_LOG("vmaCreatePool"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + return allocator->CreatePool(pCreateInfo, pPool); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaDestroyPool( + VmaAllocator allocator, + VmaPool pool) +{ + VMA_ASSERT(allocator); + + if(pool == VK_NULL_HANDLE) + { + return; + } + + VMA_DEBUG_LOG("vmaDestroyPool"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + allocator->DestroyPool(pool); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaGetPoolStatistics( + VmaAllocator allocator, + VmaPool pool, + VmaStatistics* pPoolStats) +{ + VMA_ASSERT(allocator && pool && pPoolStats); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + allocator->GetPoolStatistics(pool, pPoolStats); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaCalculatePoolStatistics( + VmaAllocator allocator, + VmaPool pool, + VmaDetailedStatistics* pPoolStats) +{ + VMA_ASSERT(allocator && pool && pPoolStats); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + allocator->CalculatePoolStatistics(pool, pPoolStats); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCheckPoolCorruption(VmaAllocator allocator, VmaPool pool) +{ + VMA_ASSERT(allocator && pool); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + VMA_DEBUG_LOG("vmaCheckPoolCorruption"); + + return allocator->CheckPoolCorruption(pool); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaGetPoolName( + VmaAllocator allocator, + VmaPool pool, + const char** ppName) +{ + VMA_ASSERT(allocator && pool && ppName); + + VMA_DEBUG_LOG("vmaGetPoolName"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + *ppName = pool->GetName(); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaSetPoolName( + VmaAllocator allocator, + VmaPool pool, + const char* pName) +{ + VMA_ASSERT(allocator && pool); + + VMA_DEBUG_LOG("vmaSetPoolName"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + pool->SetName(pName); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemory( + VmaAllocator allocator, + const VkMemoryRequirements* pVkMemoryRequirements, + const VmaAllocationCreateInfo* pCreateInfo, + VmaAllocation* pAllocation, + VmaAllocationInfo* pAllocationInfo) +{ + VMA_ASSERT(allocator && pVkMemoryRequirements && pCreateInfo && pAllocation); + + VMA_DEBUG_LOG("vmaAllocateMemory"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + VkResult result = allocator->AllocateMemory( + *pVkMemoryRequirements, + false, // requiresDedicatedAllocation + false, // prefersDedicatedAllocation + VK_NULL_HANDLE, // dedicatedBuffer + VK_NULL_HANDLE, // dedicatedImage + UINT32_MAX, // dedicatedBufferImageUsage + *pCreateInfo, + VMA_SUBALLOCATION_TYPE_UNKNOWN, + 1, // allocationCount + pAllocation); + + if(pAllocationInfo != VMA_NULL && result == VK_SUCCESS) + { + allocator->GetAllocationInfo(*pAllocation, pAllocationInfo); + } + + return result; +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemoryPages( + VmaAllocator allocator, + const VkMemoryRequirements* pVkMemoryRequirements, + const VmaAllocationCreateInfo* pCreateInfo, + size_t allocationCount, + VmaAllocation* pAllocations, + VmaAllocationInfo* pAllocationInfo) +{ + if(allocationCount == 0) + { + return VK_SUCCESS; + } + + VMA_ASSERT(allocator && pVkMemoryRequirements && pCreateInfo && pAllocations); + + VMA_DEBUG_LOG("vmaAllocateMemoryPages"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + VkResult result = allocator->AllocateMemory( + *pVkMemoryRequirements, + false, // requiresDedicatedAllocation + false, // prefersDedicatedAllocation + VK_NULL_HANDLE, // dedicatedBuffer + VK_NULL_HANDLE, // dedicatedImage + UINT32_MAX, // dedicatedBufferImageUsage + *pCreateInfo, + VMA_SUBALLOCATION_TYPE_UNKNOWN, + allocationCount, + pAllocations); + + if(pAllocationInfo != VMA_NULL && result == VK_SUCCESS) + { + for(size_t i = 0; i < allocationCount; ++i) + { + allocator->GetAllocationInfo(pAllocations[i], pAllocationInfo + i); + } + } + + return result; +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemoryForBuffer( + VmaAllocator allocator, + VkBuffer buffer, + const VmaAllocationCreateInfo* pCreateInfo, + VmaAllocation* pAllocation, + VmaAllocationInfo* pAllocationInfo) +{ + VMA_ASSERT(allocator && buffer != VK_NULL_HANDLE && pCreateInfo && pAllocation); + + VMA_DEBUG_LOG("vmaAllocateMemoryForBuffer"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + VkMemoryRequirements vkMemReq = {}; + bool requiresDedicatedAllocation = false; + bool prefersDedicatedAllocation = false; + allocator->GetBufferMemoryRequirements(buffer, vkMemReq, + requiresDedicatedAllocation, + prefersDedicatedAllocation); + + VkResult result = allocator->AllocateMemory( + vkMemReq, + requiresDedicatedAllocation, + prefersDedicatedAllocation, + buffer, // dedicatedBuffer + VK_NULL_HANDLE, // dedicatedImage + UINT32_MAX, // dedicatedBufferImageUsage + *pCreateInfo, + VMA_SUBALLOCATION_TYPE_BUFFER, + 1, // allocationCount + pAllocation); + + if(pAllocationInfo && result == VK_SUCCESS) + { + allocator->GetAllocationInfo(*pAllocation, pAllocationInfo); + } + + return result; +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemoryForImage( + VmaAllocator allocator, + VkImage image, + const VmaAllocationCreateInfo* pCreateInfo, + VmaAllocation* pAllocation, + VmaAllocationInfo* pAllocationInfo) +{ + VMA_ASSERT(allocator && image != VK_NULL_HANDLE && pCreateInfo && pAllocation); + + VMA_DEBUG_LOG("vmaAllocateMemoryForImage"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + VkMemoryRequirements vkMemReq = {}; + bool requiresDedicatedAllocation = false; + bool prefersDedicatedAllocation = false; + allocator->GetImageMemoryRequirements(image, vkMemReq, + requiresDedicatedAllocation, prefersDedicatedAllocation); + + VkResult result = allocator->AllocateMemory( + vkMemReq, + requiresDedicatedAllocation, + prefersDedicatedAllocation, + VK_NULL_HANDLE, // dedicatedBuffer + image, // dedicatedImage + UINT32_MAX, // dedicatedBufferImageUsage + *pCreateInfo, + VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN, + 1, // allocationCount + pAllocation); + + if(pAllocationInfo && result == VK_SUCCESS) + { + allocator->GetAllocationInfo(*pAllocation, pAllocationInfo); + } + + return result; +} + +VMA_CALL_PRE void VMA_CALL_POST vmaFreeMemory( + VmaAllocator allocator, + VmaAllocation allocation) +{ + VMA_ASSERT(allocator); + + if(allocation == VK_NULL_HANDLE) + { + return; + } + + VMA_DEBUG_LOG("vmaFreeMemory"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + allocator->FreeMemory( + 1, // allocationCount + &allocation); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaFreeMemoryPages( + VmaAllocator allocator, + size_t allocationCount, + const VmaAllocation* pAllocations) +{ + if(allocationCount == 0) + { + return; + } + + VMA_ASSERT(allocator); + + VMA_DEBUG_LOG("vmaFreeMemoryPages"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + allocator->FreeMemory(allocationCount, pAllocations); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaGetAllocationInfo( + VmaAllocator allocator, + VmaAllocation allocation, + VmaAllocationInfo* pAllocationInfo) +{ + VMA_ASSERT(allocator && allocation && pAllocationInfo); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + allocator->GetAllocationInfo(allocation, pAllocationInfo); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaSetAllocationUserData( + VmaAllocator allocator, + VmaAllocation allocation, + void* pUserData) +{ + VMA_ASSERT(allocator && allocation); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + allocation->SetUserData(allocator, pUserData); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaSetAllocationName( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + const char* VMA_NULLABLE pName) +{ + allocation->SetName(allocator, pName); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaGetAllocationMemoryProperties( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + VkMemoryPropertyFlags* VMA_NOT_NULL pFlags) +{ + VMA_ASSERT(allocator && allocation && pFlags); + const uint32_t memTypeIndex = allocation->GetMemoryTypeIndex(); + *pFlags = allocator->m_MemProps.memoryTypes[memTypeIndex].propertyFlags; +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaMapMemory( + VmaAllocator allocator, + VmaAllocation allocation, + void** ppData) +{ + VMA_ASSERT(allocator && allocation && ppData); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + return allocator->Map(allocation, ppData); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaUnmapMemory( + VmaAllocator allocator, + VmaAllocation allocation) +{ + VMA_ASSERT(allocator && allocation); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + allocator->Unmap(allocation); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaFlushAllocation( + VmaAllocator allocator, + VmaAllocation allocation, + VkDeviceSize offset, + VkDeviceSize size) +{ + VMA_ASSERT(allocator && allocation); + + VMA_DEBUG_LOG("vmaFlushAllocation"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + const VkResult res = allocator->FlushOrInvalidateAllocation(allocation, offset, size, VMA_CACHE_FLUSH); + + return res; +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaInvalidateAllocation( + VmaAllocator allocator, + VmaAllocation allocation, + VkDeviceSize offset, + VkDeviceSize size) +{ + VMA_ASSERT(allocator && allocation); + + VMA_DEBUG_LOG("vmaInvalidateAllocation"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + const VkResult res = allocator->FlushOrInvalidateAllocation(allocation, offset, size, VMA_CACHE_INVALIDATE); + + return res; +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaFlushAllocations( + VmaAllocator allocator, + uint32_t allocationCount, + const VmaAllocation* allocations, + const VkDeviceSize* offsets, + const VkDeviceSize* sizes) +{ + VMA_ASSERT(allocator); + + if(allocationCount == 0) + { + return VK_SUCCESS; + } + + VMA_ASSERT(allocations); + + VMA_DEBUG_LOG("vmaFlushAllocations"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + const VkResult res = allocator->FlushOrInvalidateAllocations(allocationCount, allocations, offsets, sizes, VMA_CACHE_FLUSH); + + return res; +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaInvalidateAllocations( + VmaAllocator allocator, + uint32_t allocationCount, + const VmaAllocation* allocations, + const VkDeviceSize* offsets, + const VkDeviceSize* sizes) +{ + VMA_ASSERT(allocator); + + if(allocationCount == 0) + { + return VK_SUCCESS; + } + + VMA_ASSERT(allocations); + + VMA_DEBUG_LOG("vmaInvalidateAllocations"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + const VkResult res = allocator->FlushOrInvalidateAllocations(allocationCount, allocations, offsets, sizes, VMA_CACHE_INVALIDATE); + + return res; +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCheckCorruption( + VmaAllocator allocator, + uint32_t memoryTypeBits) +{ + VMA_ASSERT(allocator); + + VMA_DEBUG_LOG("vmaCheckCorruption"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + return allocator->CheckCorruption(memoryTypeBits); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaBeginDefragmentation( + VmaAllocator allocator, + const VmaDefragmentationInfo* pInfo, + VmaDefragmentationContext* pContext) +{ + VMA_ASSERT(allocator && pInfo && pContext); + + VMA_DEBUG_LOG("vmaBeginDefragmentation"); + + if (pInfo->pool != VMA_NULL) + { + // Check if run on supported algorithms + if (pInfo->pool->m_BlockVector.GetAlgorithm() & VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT) + return VK_ERROR_FEATURE_NOT_PRESENT; + } + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + *pContext = vma_new(allocator, VmaDefragmentationContext_T)(allocator, *pInfo); + return VK_SUCCESS; +} + +VMA_CALL_PRE void VMA_CALL_POST vmaEndDefragmentation( + VmaAllocator allocator, + VmaDefragmentationContext context, + VmaDefragmentationStats* pStats) +{ + VMA_ASSERT(allocator && context); + + VMA_DEBUG_LOG("vmaEndDefragmentation"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + if (pStats) + context->GetStats(*pStats); + vma_delete(allocator, context); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaBeginDefragmentationPass( + VmaAllocator VMA_NOT_NULL allocator, + VmaDefragmentationContext VMA_NOT_NULL context, + VmaDefragmentationPassMoveInfo* VMA_NOT_NULL pPassInfo) +{ + VMA_ASSERT(context && pPassInfo); + + VMA_DEBUG_LOG("vmaBeginDefragmentationPass"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + return context->DefragmentPassBegin(*pPassInfo); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaEndDefragmentationPass( + VmaAllocator VMA_NOT_NULL allocator, + VmaDefragmentationContext VMA_NOT_NULL context, + VmaDefragmentationPassMoveInfo* VMA_NOT_NULL pPassInfo) +{ + VMA_ASSERT(context && pPassInfo); + + VMA_DEBUG_LOG("vmaEndDefragmentationPass"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + return context->DefragmentPassEnd(*pPassInfo); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindBufferMemory( + VmaAllocator allocator, + VmaAllocation allocation, + VkBuffer buffer) +{ + VMA_ASSERT(allocator && allocation && buffer); + + VMA_DEBUG_LOG("vmaBindBufferMemory"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + return allocator->BindBufferMemory(allocation, 0, buffer, VMA_NULL); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindBufferMemory2( + VmaAllocator allocator, + VmaAllocation allocation, + VkDeviceSize allocationLocalOffset, + VkBuffer buffer, + const void* pNext) +{ + VMA_ASSERT(allocator && allocation && buffer); + + VMA_DEBUG_LOG("vmaBindBufferMemory2"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + return allocator->BindBufferMemory(allocation, allocationLocalOffset, buffer, pNext); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindImageMemory( + VmaAllocator allocator, + VmaAllocation allocation, + VkImage image) +{ + VMA_ASSERT(allocator && allocation && image); + + VMA_DEBUG_LOG("vmaBindImageMemory"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + return allocator->BindImageMemory(allocation, 0, image, VMA_NULL); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindImageMemory2( + VmaAllocator allocator, + VmaAllocation allocation, + VkDeviceSize allocationLocalOffset, + VkImage image, + const void* pNext) +{ + VMA_ASSERT(allocator && allocation && image); + + VMA_DEBUG_LOG("vmaBindImageMemory2"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + return allocator->BindImageMemory(allocation, allocationLocalOffset, image, pNext); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateBuffer( + VmaAllocator allocator, + const VkBufferCreateInfo* pBufferCreateInfo, + const VmaAllocationCreateInfo* pAllocationCreateInfo, + VkBuffer* pBuffer, + VmaAllocation* pAllocation, + VmaAllocationInfo* pAllocationInfo) +{ + VMA_ASSERT(allocator && pBufferCreateInfo && pAllocationCreateInfo && pBuffer && pAllocation); + + if(pBufferCreateInfo->size == 0) + { + return VK_ERROR_INITIALIZATION_FAILED; + } + if((pBufferCreateInfo->usage & VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT_COPY) != 0 && + !allocator->m_UseKhrBufferDeviceAddress) + { + VMA_ASSERT(0 && "Creating a buffer with VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT is not valid if VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT was not used."); + return VK_ERROR_INITIALIZATION_FAILED; + } + + VMA_DEBUG_LOG("vmaCreateBuffer"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + *pBuffer = VK_NULL_HANDLE; + *pAllocation = VK_NULL_HANDLE; + + // 1. Create VkBuffer. + VkResult res = (*allocator->GetVulkanFunctions().vkCreateBuffer)( + allocator->m_hDevice, + pBufferCreateInfo, + allocator->GetAllocationCallbacks(), + pBuffer); + if(res >= 0) + { + // 2. vkGetBufferMemoryRequirements. + VkMemoryRequirements vkMemReq = {}; + bool requiresDedicatedAllocation = false; + bool prefersDedicatedAllocation = false; + allocator->GetBufferMemoryRequirements(*pBuffer, vkMemReq, + requiresDedicatedAllocation, prefersDedicatedAllocation); + + // 3. Allocate memory using allocator. + res = allocator->AllocateMemory( + vkMemReq, + requiresDedicatedAllocation, + prefersDedicatedAllocation, + *pBuffer, // dedicatedBuffer + VK_NULL_HANDLE, // dedicatedImage + pBufferCreateInfo->usage, // dedicatedBufferImageUsage + *pAllocationCreateInfo, + VMA_SUBALLOCATION_TYPE_BUFFER, + 1, // allocationCount + pAllocation); + + if(res >= 0) + { + // 3. Bind buffer with memory. + if((pAllocationCreateInfo->flags & VMA_ALLOCATION_CREATE_DONT_BIND_BIT) == 0) + { + res = allocator->BindBufferMemory(*pAllocation, 0, *pBuffer, VMA_NULL); + } + if(res >= 0) + { + // All steps succeeded. + #if VMA_STATS_STRING_ENABLED + (*pAllocation)->InitBufferImageUsage(pBufferCreateInfo->usage); + #endif + if(pAllocationInfo != VMA_NULL) + { + allocator->GetAllocationInfo(*pAllocation, pAllocationInfo); + } + + return VK_SUCCESS; + } + allocator->FreeMemory( + 1, // allocationCount + pAllocation); + *pAllocation = VK_NULL_HANDLE; + (*allocator->GetVulkanFunctions().vkDestroyBuffer)(allocator->m_hDevice, *pBuffer, allocator->GetAllocationCallbacks()); + *pBuffer = VK_NULL_HANDLE; + return res; + } + (*allocator->GetVulkanFunctions().vkDestroyBuffer)(allocator->m_hDevice, *pBuffer, allocator->GetAllocationCallbacks()); + *pBuffer = VK_NULL_HANDLE; + return res; + } + return res; +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateBufferWithAlignment( + VmaAllocator allocator, + const VkBufferCreateInfo* pBufferCreateInfo, + const VmaAllocationCreateInfo* pAllocationCreateInfo, + VkDeviceSize minAlignment, + VkBuffer* pBuffer, + VmaAllocation* pAllocation, + VmaAllocationInfo* pAllocationInfo) +{ + VMA_ASSERT(allocator && pBufferCreateInfo && pAllocationCreateInfo && VmaIsPow2(minAlignment) && pBuffer && pAllocation); + + if(pBufferCreateInfo->size == 0) + { + return VK_ERROR_INITIALIZATION_FAILED; + } + if((pBufferCreateInfo->usage & VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT_COPY) != 0 && + !allocator->m_UseKhrBufferDeviceAddress) + { + VMA_ASSERT(0 && "Creating a buffer with VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT is not valid if VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT was not used."); + return VK_ERROR_INITIALIZATION_FAILED; + } + + VMA_DEBUG_LOG("vmaCreateBufferWithAlignment"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + *pBuffer = VK_NULL_HANDLE; + *pAllocation = VK_NULL_HANDLE; + + // 1. Create VkBuffer. + VkResult res = (*allocator->GetVulkanFunctions().vkCreateBuffer)( + allocator->m_hDevice, + pBufferCreateInfo, + allocator->GetAllocationCallbacks(), + pBuffer); + if(res >= 0) + { + // 2. vkGetBufferMemoryRequirements. + VkMemoryRequirements vkMemReq = {}; + bool requiresDedicatedAllocation = false; + bool prefersDedicatedAllocation = false; + allocator->GetBufferMemoryRequirements(*pBuffer, vkMemReq, + requiresDedicatedAllocation, prefersDedicatedAllocation); + + // 2a. Include minAlignment + vkMemReq.alignment = VMA_MAX(vkMemReq.alignment, minAlignment); + + // 3. Allocate memory using allocator. + res = allocator->AllocateMemory( + vkMemReq, + requiresDedicatedAllocation, + prefersDedicatedAllocation, + *pBuffer, // dedicatedBuffer + VK_NULL_HANDLE, // dedicatedImage + pBufferCreateInfo->usage, // dedicatedBufferImageUsage + *pAllocationCreateInfo, + VMA_SUBALLOCATION_TYPE_BUFFER, + 1, // allocationCount + pAllocation); + + if(res >= 0) + { + // 3. Bind buffer with memory. + if((pAllocationCreateInfo->flags & VMA_ALLOCATION_CREATE_DONT_BIND_BIT) == 0) + { + res = allocator->BindBufferMemory(*pAllocation, 0, *pBuffer, VMA_NULL); + } + if(res >= 0) + { + // All steps succeeded. + #if VMA_STATS_STRING_ENABLED + (*pAllocation)->InitBufferImageUsage(pBufferCreateInfo->usage); + #endif + if(pAllocationInfo != VMA_NULL) + { + allocator->GetAllocationInfo(*pAllocation, pAllocationInfo); + } + + return VK_SUCCESS; + } + allocator->FreeMemory( + 1, // allocationCount + pAllocation); + *pAllocation = VK_NULL_HANDLE; + (*allocator->GetVulkanFunctions().vkDestroyBuffer)(allocator->m_hDevice, *pBuffer, allocator->GetAllocationCallbacks()); + *pBuffer = VK_NULL_HANDLE; + return res; + } + (*allocator->GetVulkanFunctions().vkDestroyBuffer)(allocator->m_hDevice, *pBuffer, allocator->GetAllocationCallbacks()); + *pBuffer = VK_NULL_HANDLE; + return res; + } + return res; +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingBuffer( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, + VkBuffer VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pBuffer) +{ + return vmaCreateAliasingBuffer2(allocator, allocation, 0, pBufferCreateInfo, pBuffer); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingBuffer2( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + VkDeviceSize allocationLocalOffset, + const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, + VkBuffer VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pBuffer) +{ + VMA_ASSERT(allocator && pBufferCreateInfo && pBuffer && allocation); + VMA_ASSERT(allocationLocalOffset + pBufferCreateInfo->size <= allocation->GetSize()); + + VMA_DEBUG_LOG("vmaCreateAliasingBuffer2"); + + *pBuffer = VK_NULL_HANDLE; + + if (pBufferCreateInfo->size == 0) + { + return VK_ERROR_INITIALIZATION_FAILED; + } + if ((pBufferCreateInfo->usage & VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT_COPY) != 0 && + !allocator->m_UseKhrBufferDeviceAddress) + { + VMA_ASSERT(0 && "Creating a buffer with VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT is not valid if VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT was not used."); + return VK_ERROR_INITIALIZATION_FAILED; + } + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + // 1. Create VkBuffer. + VkResult res = (*allocator->GetVulkanFunctions().vkCreateBuffer)( + allocator->m_hDevice, + pBufferCreateInfo, + allocator->GetAllocationCallbacks(), + pBuffer); + if (res >= 0) + { + // 2. Bind buffer with memory. + res = allocator->BindBufferMemory(allocation, allocationLocalOffset, *pBuffer, VMA_NULL); + if (res >= 0) + { + return VK_SUCCESS; + } + (*allocator->GetVulkanFunctions().vkDestroyBuffer)(allocator->m_hDevice, *pBuffer, allocator->GetAllocationCallbacks()); + } + return res; +} + +VMA_CALL_PRE void VMA_CALL_POST vmaDestroyBuffer( + VmaAllocator allocator, + VkBuffer buffer, + VmaAllocation allocation) +{ + VMA_ASSERT(allocator); + + if(buffer == VK_NULL_HANDLE && allocation == VK_NULL_HANDLE) + { + return; + } + + VMA_DEBUG_LOG("vmaDestroyBuffer"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + if(buffer != VK_NULL_HANDLE) + { + (*allocator->GetVulkanFunctions().vkDestroyBuffer)(allocator->m_hDevice, buffer, allocator->GetAllocationCallbacks()); + } + + if(allocation != VK_NULL_HANDLE) + { + allocator->FreeMemory( + 1, // allocationCount + &allocation); + } +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateImage( + VmaAllocator allocator, + const VkImageCreateInfo* pImageCreateInfo, + const VmaAllocationCreateInfo* pAllocationCreateInfo, + VkImage* pImage, + VmaAllocation* pAllocation, + VmaAllocationInfo* pAllocationInfo) +{ + VMA_ASSERT(allocator && pImageCreateInfo && pAllocationCreateInfo && pImage && pAllocation); + + if(pImageCreateInfo->extent.width == 0 || + pImageCreateInfo->extent.height == 0 || + pImageCreateInfo->extent.depth == 0 || + pImageCreateInfo->mipLevels == 0 || + pImageCreateInfo->arrayLayers == 0) + { + return VK_ERROR_INITIALIZATION_FAILED; + } + + VMA_DEBUG_LOG("vmaCreateImage"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + *pImage = VK_NULL_HANDLE; + *pAllocation = VK_NULL_HANDLE; + + // 1. Create VkImage. + VkResult res = (*allocator->GetVulkanFunctions().vkCreateImage)( + allocator->m_hDevice, + pImageCreateInfo, + allocator->GetAllocationCallbacks(), + pImage); + if(res >= 0) + { + VmaSuballocationType suballocType = pImageCreateInfo->tiling == VK_IMAGE_TILING_OPTIMAL ? + VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL : + VMA_SUBALLOCATION_TYPE_IMAGE_LINEAR; + + // 2. Allocate memory using allocator. + VkMemoryRequirements vkMemReq = {}; + bool requiresDedicatedAllocation = false; + bool prefersDedicatedAllocation = false; + allocator->GetImageMemoryRequirements(*pImage, vkMemReq, + requiresDedicatedAllocation, prefersDedicatedAllocation); + + res = allocator->AllocateMemory( + vkMemReq, + requiresDedicatedAllocation, + prefersDedicatedAllocation, + VK_NULL_HANDLE, // dedicatedBuffer + *pImage, // dedicatedImage + pImageCreateInfo->usage, // dedicatedBufferImageUsage + *pAllocationCreateInfo, + suballocType, + 1, // allocationCount + pAllocation); + + if(res >= 0) + { + // 3. Bind image with memory. + if((pAllocationCreateInfo->flags & VMA_ALLOCATION_CREATE_DONT_BIND_BIT) == 0) + { + res = allocator->BindImageMemory(*pAllocation, 0, *pImage, VMA_NULL); + } + if(res >= 0) + { + // All steps succeeded. + #if VMA_STATS_STRING_ENABLED + (*pAllocation)->InitBufferImageUsage(pImageCreateInfo->usage); + #endif + if(pAllocationInfo != VMA_NULL) + { + allocator->GetAllocationInfo(*pAllocation, pAllocationInfo); + } + + return VK_SUCCESS; + } + allocator->FreeMemory( + 1, // allocationCount + pAllocation); + *pAllocation = VK_NULL_HANDLE; + (*allocator->GetVulkanFunctions().vkDestroyImage)(allocator->m_hDevice, *pImage, allocator->GetAllocationCallbacks()); + *pImage = VK_NULL_HANDLE; + return res; + } + (*allocator->GetVulkanFunctions().vkDestroyImage)(allocator->m_hDevice, *pImage, allocator->GetAllocationCallbacks()); + *pImage = VK_NULL_HANDLE; + return res; + } + return res; +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingImage( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + const VkImageCreateInfo* VMA_NOT_NULL pImageCreateInfo, + VkImage VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pImage) +{ + return vmaCreateAliasingImage2(allocator, allocation, 0, pImageCreateInfo, pImage); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingImage2( + VmaAllocator VMA_NOT_NULL allocator, + VmaAllocation VMA_NOT_NULL allocation, + VkDeviceSize allocationLocalOffset, + const VkImageCreateInfo* VMA_NOT_NULL pImageCreateInfo, + VkImage VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pImage) +{ + VMA_ASSERT(allocator && pImageCreateInfo && pImage && allocation); + + *pImage = VK_NULL_HANDLE; + + VMA_DEBUG_LOG("vmaCreateImage2"); + + if (pImageCreateInfo->extent.width == 0 || + pImageCreateInfo->extent.height == 0 || + pImageCreateInfo->extent.depth == 0 || + pImageCreateInfo->mipLevels == 0 || + pImageCreateInfo->arrayLayers == 0) + { + return VK_ERROR_INITIALIZATION_FAILED; + } + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + // 1. Create VkImage. + VkResult res = (*allocator->GetVulkanFunctions().vkCreateImage)( + allocator->m_hDevice, + pImageCreateInfo, + allocator->GetAllocationCallbacks(), + pImage); + if (res >= 0) + { + // 2. Bind image with memory. + res = allocator->BindImageMemory(allocation, allocationLocalOffset, *pImage, VMA_NULL); + if (res >= 0) + { + return VK_SUCCESS; + } + (*allocator->GetVulkanFunctions().vkDestroyImage)(allocator->m_hDevice, *pImage, allocator->GetAllocationCallbacks()); + } + return res; +} + +VMA_CALL_PRE void VMA_CALL_POST vmaDestroyImage( + VmaAllocator VMA_NOT_NULL allocator, + VkImage VMA_NULLABLE_NON_DISPATCHABLE image, + VmaAllocation VMA_NULLABLE allocation) +{ + VMA_ASSERT(allocator); + + if(image == VK_NULL_HANDLE && allocation == VK_NULL_HANDLE) + { + return; + } + + VMA_DEBUG_LOG("vmaDestroyImage"); + + VMA_DEBUG_GLOBAL_MUTEX_LOCK + + if(image != VK_NULL_HANDLE) + { + (*allocator->GetVulkanFunctions().vkDestroyImage)(allocator->m_hDevice, image, allocator->GetAllocationCallbacks()); + } + if(allocation != VK_NULL_HANDLE) + { + allocator->FreeMemory( + 1, // allocationCount + &allocation); + } +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateVirtualBlock( + const VmaVirtualBlockCreateInfo* VMA_NOT_NULL pCreateInfo, + VmaVirtualBlock VMA_NULLABLE * VMA_NOT_NULL pVirtualBlock) +{ + VMA_ASSERT(pCreateInfo && pVirtualBlock); + VMA_ASSERT(pCreateInfo->size > 0); + VMA_DEBUG_LOG("vmaCreateVirtualBlock"); + VMA_DEBUG_GLOBAL_MUTEX_LOCK; + *pVirtualBlock = vma_new(pCreateInfo->pAllocationCallbacks, VmaVirtualBlock_T)(*pCreateInfo); + VkResult res = (*pVirtualBlock)->Init(); + if(res < 0) + { + vma_delete(pCreateInfo->pAllocationCallbacks, *pVirtualBlock); + *pVirtualBlock = VK_NULL_HANDLE; + } + return res; +} + +VMA_CALL_PRE void VMA_CALL_POST vmaDestroyVirtualBlock(VmaVirtualBlock VMA_NULLABLE virtualBlock) +{ + if(virtualBlock != VK_NULL_HANDLE) + { + VMA_DEBUG_LOG("vmaDestroyVirtualBlock"); + VMA_DEBUG_GLOBAL_MUTEX_LOCK; + VkAllocationCallbacks allocationCallbacks = virtualBlock->m_AllocationCallbacks; // Have to copy the callbacks when destroying. + vma_delete(&allocationCallbacks, virtualBlock); + } +} + +VMA_CALL_PRE VkBool32 VMA_CALL_POST vmaIsVirtualBlockEmpty(VmaVirtualBlock VMA_NOT_NULL virtualBlock) +{ + VMA_ASSERT(virtualBlock != VK_NULL_HANDLE); + VMA_DEBUG_LOG("vmaIsVirtualBlockEmpty"); + VMA_DEBUG_GLOBAL_MUTEX_LOCK; + return virtualBlock->IsEmpty() ? VK_TRUE : VK_FALSE; +} + +VMA_CALL_PRE void VMA_CALL_POST vmaGetVirtualAllocationInfo(VmaVirtualBlock VMA_NOT_NULL virtualBlock, + VmaVirtualAllocation VMA_NOT_NULL_NON_DISPATCHABLE allocation, VmaVirtualAllocationInfo* VMA_NOT_NULL pVirtualAllocInfo) +{ + VMA_ASSERT(virtualBlock != VK_NULL_HANDLE && pVirtualAllocInfo != VMA_NULL); + VMA_DEBUG_LOG("vmaGetVirtualAllocationInfo"); + VMA_DEBUG_GLOBAL_MUTEX_LOCK; + virtualBlock->GetAllocationInfo(allocation, *pVirtualAllocInfo); +} + +VMA_CALL_PRE VkResult VMA_CALL_POST vmaVirtualAllocate(VmaVirtualBlock VMA_NOT_NULL virtualBlock, + const VmaVirtualAllocationCreateInfo* VMA_NOT_NULL pCreateInfo, VmaVirtualAllocation VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pAllocation, + VkDeviceSize* VMA_NULLABLE pOffset) +{ + VMA_ASSERT(virtualBlock != VK_NULL_HANDLE && pCreateInfo != VMA_NULL && pAllocation != VMA_NULL); + VMA_DEBUG_LOG("vmaVirtualAllocate"); + VMA_DEBUG_GLOBAL_MUTEX_LOCK; + return virtualBlock->Allocate(*pCreateInfo, *pAllocation, pOffset); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaVirtualFree(VmaVirtualBlock VMA_NOT_NULL virtualBlock, VmaVirtualAllocation VMA_NULLABLE_NON_DISPATCHABLE allocation) +{ + if(allocation != VK_NULL_HANDLE) + { + VMA_ASSERT(virtualBlock != VK_NULL_HANDLE); + VMA_DEBUG_LOG("vmaVirtualFree"); + VMA_DEBUG_GLOBAL_MUTEX_LOCK; + virtualBlock->Free(allocation); + } +} + +VMA_CALL_PRE void VMA_CALL_POST vmaClearVirtualBlock(VmaVirtualBlock VMA_NOT_NULL virtualBlock) +{ + VMA_ASSERT(virtualBlock != VK_NULL_HANDLE); + VMA_DEBUG_LOG("vmaClearVirtualBlock"); + VMA_DEBUG_GLOBAL_MUTEX_LOCK; + virtualBlock->Clear(); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaSetVirtualAllocationUserData(VmaVirtualBlock VMA_NOT_NULL virtualBlock, + VmaVirtualAllocation VMA_NOT_NULL_NON_DISPATCHABLE allocation, void* VMA_NULLABLE pUserData) +{ + VMA_ASSERT(virtualBlock != VK_NULL_HANDLE); + VMA_DEBUG_LOG("vmaSetVirtualAllocationUserData"); + VMA_DEBUG_GLOBAL_MUTEX_LOCK; + virtualBlock->SetAllocationUserData(allocation, pUserData); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaGetVirtualBlockStatistics(VmaVirtualBlock VMA_NOT_NULL virtualBlock, + VmaStatistics* VMA_NOT_NULL pStats) +{ + VMA_ASSERT(virtualBlock != VK_NULL_HANDLE && pStats != VMA_NULL); + VMA_DEBUG_LOG("vmaGetVirtualBlockStatistics"); + VMA_DEBUG_GLOBAL_MUTEX_LOCK; + virtualBlock->GetStatistics(*pStats); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaCalculateVirtualBlockStatistics(VmaVirtualBlock VMA_NOT_NULL virtualBlock, + VmaDetailedStatistics* VMA_NOT_NULL pStats) +{ + VMA_ASSERT(virtualBlock != VK_NULL_HANDLE && pStats != VMA_NULL); + VMA_DEBUG_LOG("vmaCalculateVirtualBlockStatistics"); + VMA_DEBUG_GLOBAL_MUTEX_LOCK; + virtualBlock->CalculateDetailedStatistics(*pStats); +} + +#if VMA_STATS_STRING_ENABLED + +VMA_CALL_PRE void VMA_CALL_POST vmaBuildVirtualBlockStatsString(VmaVirtualBlock VMA_NOT_NULL virtualBlock, + char* VMA_NULLABLE * VMA_NOT_NULL ppStatsString, VkBool32 detailedMap) +{ + VMA_ASSERT(virtualBlock != VK_NULL_HANDLE && ppStatsString != VMA_NULL); + VMA_DEBUG_GLOBAL_MUTEX_LOCK; + const VkAllocationCallbacks* allocationCallbacks = virtualBlock->GetAllocationCallbacks(); + VmaStringBuilder sb(allocationCallbacks); + virtualBlock->BuildStatsString(detailedMap != VK_FALSE, sb); + *ppStatsString = VmaCreateStringCopy(allocationCallbacks, sb.GetData(), sb.GetLength()); +} + +VMA_CALL_PRE void VMA_CALL_POST vmaFreeVirtualBlockStatsString(VmaVirtualBlock VMA_NOT_NULL virtualBlock, + char* VMA_NULLABLE pStatsString) +{ + if(pStatsString != VMA_NULL) + { + VMA_ASSERT(virtualBlock != VK_NULL_HANDLE); + VMA_DEBUG_GLOBAL_MUTEX_LOCK; + VmaFreeString(virtualBlock->GetAllocationCallbacks(), pStatsString); + } +} +#endif // VMA_STATS_STRING_ENABLED +#endif // _VMA_PUBLIC_INTERFACE +#endif // VMA_IMPLEMENTATION + +/** +\page quick_start Quick start + +\section quick_start_project_setup Project setup + +Vulkan Memory Allocator comes in form of a "stb-style" single header file. +You don't need to build it as a separate library project. +You can add this file directly to your project and submit it to code repository next to your other source files. + +"Single header" doesn't mean that everything is contained in C/C++ declarations, +like it tends to be in case of inline functions or C++ templates. +It means that implementation is bundled with interface in a single file and needs to be extracted using preprocessor macro. +If you don't do it properly, you will get linker errors. + +To do it properly: + +-# Include "vk_mem_alloc.h" file in each CPP file where you want to use the library. + This includes declarations of all members of the library. +-# In exactly one CPP file define following macro before this include. + It enables also internal definitions. + +\code +#define VMA_IMPLEMENTATION +#include "vk_mem_alloc.h" +\endcode + +It may be a good idea to create dedicated CPP file just for this purpose. + +This library includes header ``, which in turn +includes `` on Windows. If you need some specific macros defined +before including these headers (like `WIN32_LEAN_AND_MEAN` or +`WINVER` for Windows, `VK_USE_PLATFORM_WIN32_KHR` for Vulkan), you must define +them before every `#include` of this library. + +This library is written in C++, but has C-compatible interface. +Thus you can include and use vk_mem_alloc.h in C or C++ code, but full +implementation with `VMA_IMPLEMENTATION` macro must be compiled as C++, NOT as C. +Some features of C++14 are used. STL containers, RTTI, or C++ exceptions are not used. + + +\section quick_start_initialization Initialization + +At program startup: + +-# Initialize Vulkan to have `VkPhysicalDevice`, `VkDevice` and `VkInstance` object. +-# Fill VmaAllocatorCreateInfo structure and create #VmaAllocator object by + calling vmaCreateAllocator(). + +Only members `physicalDevice`, `device`, `instance` are required. +However, you should inform the library which Vulkan version do you use by setting +VmaAllocatorCreateInfo::vulkanApiVersion and which extensions did you enable +by setting VmaAllocatorCreateInfo::flags (like #VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT for VK_KHR_buffer_device_address). +Otherwise, VMA would use only features of Vulkan 1.0 core with no extensions. + +\subsection quick_start_initialization_selecting_vulkan_version Selecting Vulkan version + +VMA supports Vulkan version down to 1.0, for backward compatibility. +If you want to use higher version, you need to inform the library about it. +This is a two-step process. + +Step 1: Compile time. By default, VMA compiles with code supporting the highest +Vulkan version found in the included `` that is also supported by the library. +If this is OK, you don't need to do anything. +However, if you want to compile VMA as if only some lower Vulkan version was available, +define macro `VMA_VULKAN_VERSION` before every `#include "vk_mem_alloc.h"`. +It should have decimal numeric value in form of ABBBCCC, where A = major, BBB = minor, CCC = patch Vulkan version. +For example, to compile against Vulkan 1.2: + +\code +#define VMA_VULKAN_VERSION 1002000 // Vulkan 1.2 +#include "vk_mem_alloc.h" +\endcode + +Step 2: Runtime. Even when compiled with higher Vulkan version available, +VMA can use only features of a lower version, which is configurable during creation of the #VmaAllocator object. +By default, only Vulkan 1.0 is used. +To initialize the allocator with support for higher Vulkan version, you need to set member +VmaAllocatorCreateInfo::vulkanApiVersion to an appropriate value, e.g. using constants like `VK_API_VERSION_1_2`. +See code sample below. + +\subsection quick_start_initialization_importing_vulkan_functions Importing Vulkan functions + +You may need to configure importing Vulkan functions. There are 3 ways to do this: + +-# **If you link with Vulkan static library** (e.g. "vulkan-1.lib" on Windows): + - You don't need to do anything. + - VMA will use these, as macro `VMA_STATIC_VULKAN_FUNCTIONS` is defined to 1 by default. +-# **If you want VMA to fetch pointers to Vulkan functions dynamically** using `vkGetInstanceProcAddr`, + `vkGetDeviceProcAddr` (this is the option presented in the example below): + - Define `VMA_STATIC_VULKAN_FUNCTIONS` to 0, `VMA_DYNAMIC_VULKAN_FUNCTIONS` to 1. + - Provide pointers to these two functions via VmaVulkanFunctions::vkGetInstanceProcAddr, + VmaVulkanFunctions::vkGetDeviceProcAddr. + - The library will fetch pointers to all other functions it needs internally. +-# **If you fetch pointers to all Vulkan functions in a custom way**, e.g. using some loader like + [Volk](https://github.com/zeux/volk): + - Define `VMA_STATIC_VULKAN_FUNCTIONS` and `VMA_DYNAMIC_VULKAN_FUNCTIONS` to 0. + - Pass these pointers via structure #VmaVulkanFunctions. + +Example for case 2: + +\code +#define VMA_STATIC_VULKAN_FUNCTIONS 0 +#define VMA_DYNAMIC_VULKAN_FUNCTIONS 1 +#include "vk_mem_alloc.h" + +... + +VmaVulkanFunctions vulkanFunctions = {}; +vulkanFunctions.vkGetInstanceProcAddr = &vkGetInstanceProcAddr; +vulkanFunctions.vkGetDeviceProcAddr = &vkGetDeviceProcAddr; + +VmaAllocatorCreateInfo allocatorCreateInfo = {}; +allocatorCreateInfo.vulkanApiVersion = VK_API_VERSION_1_2; +allocatorCreateInfo.physicalDevice = physicalDevice; +allocatorCreateInfo.device = device; +allocatorCreateInfo.instance = instance; +allocatorCreateInfo.pVulkanFunctions = &vulkanFunctions; + +VmaAllocator allocator; +vmaCreateAllocator(&allocatorCreateInfo, &allocator); +\endcode + + +\section quick_start_resource_allocation Resource allocation + +When you want to create a buffer or image: + +-# Fill `VkBufferCreateInfo` / `VkImageCreateInfo` structure. +-# Fill VmaAllocationCreateInfo structure. +-# Call vmaCreateBuffer() / vmaCreateImage() to get `VkBuffer`/`VkImage` with memory + already allocated and bound to it, plus #VmaAllocation objects that represents its underlying memory. + +\code +VkBufferCreateInfo bufferInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; +bufferInfo.size = 65536; +bufferInfo.usage = VK_BUFFER_USAGE_VERTEX_BUFFER_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; + +VmaAllocationCreateInfo allocInfo = {}; +allocInfo.usage = VMA_MEMORY_USAGE_AUTO; + +VkBuffer buffer; +VmaAllocation allocation; +vmaCreateBuffer(allocator, &bufferInfo, &allocInfo, &buffer, &allocation, nullptr); +\endcode + +Don't forget to destroy your objects when no longer needed: + +\code +vmaDestroyBuffer(allocator, buffer, allocation); +vmaDestroyAllocator(allocator); +\endcode + + +\page choosing_memory_type Choosing memory type + +Physical devices in Vulkan support various combinations of memory heaps and +types. Help with choosing correct and optimal memory type for your specific +resource is one of the key features of this library. You can use it by filling +appropriate members of VmaAllocationCreateInfo structure, as described below. +You can also combine multiple methods. + +-# If you just want to find memory type index that meets your requirements, you + can use function: vmaFindMemoryTypeIndexForBufferInfo(), + vmaFindMemoryTypeIndexForImageInfo(), vmaFindMemoryTypeIndex(). +-# If you want to allocate a region of device memory without association with any + specific image or buffer, you can use function vmaAllocateMemory(). Usage of + this function is not recommended and usually not needed. + vmaAllocateMemoryPages() function is also provided for creating multiple allocations at once, + which may be useful for sparse binding. +-# If you already have a buffer or an image created, you want to allocate memory + for it and then you will bind it yourself, you can use function + vmaAllocateMemoryForBuffer(), vmaAllocateMemoryForImage(). + For binding you should use functions: vmaBindBufferMemory(), vmaBindImageMemory() + or their extended versions: vmaBindBufferMemory2(), vmaBindImageMemory2(). +-# **This is the easiest and recommended way to use this library:** + If you want to create a buffer or an image, allocate memory for it and bind + them together, all in one call, you can use function vmaCreateBuffer(), + vmaCreateImage(). + +When using 3. or 4., the library internally queries Vulkan for memory types +supported for that buffer or image (function `vkGetBufferMemoryRequirements()`) +and uses only one of these types. + +If no memory type can be found that meets all the requirements, these functions +return `VK_ERROR_FEATURE_NOT_PRESENT`. + +You can leave VmaAllocationCreateInfo structure completely filled with zeros. +It means no requirements are specified for memory type. +It is valid, although not very useful. + +\section choosing_memory_type_usage Usage + +The easiest way to specify memory requirements is to fill member +VmaAllocationCreateInfo::usage using one of the values of enum #VmaMemoryUsage. +It defines high level, common usage types. +Since version 3 of the library, it is recommended to use #VMA_MEMORY_USAGE_AUTO to let it select best memory type for your resource automatically. + +For example, if you want to create a uniform buffer that will be filled using +transfer only once or infrequently and then used for rendering every frame as a uniform buffer, you can +do it using following code. The buffer will most likely end up in a memory type with +`VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT` to be fast to access by the GPU device. + +\code +VkBufferCreateInfo bufferInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; +bufferInfo.size = 65536; +bufferInfo.usage = VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; + +VmaAllocationCreateInfo allocInfo = {}; +allocInfo.usage = VMA_MEMORY_USAGE_AUTO; + +VkBuffer buffer; +VmaAllocation allocation; +vmaCreateBuffer(allocator, &bufferInfo, &allocInfo, &buffer, &allocation, nullptr); +\endcode + +If you have a preference for putting the resource in GPU (device) memory or CPU (host) memory +on systems with discrete graphics card that have the memories separate, you can use +#VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE or #VMA_MEMORY_USAGE_AUTO_PREFER_HOST. + +When using `VMA_MEMORY_USAGE_AUTO*` while you want to map the allocated memory, +you also need to specify one of the host access flags: +#VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT. +This will help the library decide about preferred memory type to ensure it has `VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT` +so you can map it. + +For example, a staging buffer that will be filled via mapped pointer and then +used as a source of transfer to the buffer described previously can be created like this. +It will likely end up in a memory type that is `HOST_VISIBLE` and `HOST_COHERENT` +but not `HOST_CACHED` (meaning uncached, write-combined) and not `DEVICE_LOCAL` (meaning system RAM). + +\code +VkBufferCreateInfo stagingBufferInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; +stagingBufferInfo.size = 65536; +stagingBufferInfo.usage = VK_BUFFER_USAGE_TRANSFER_SRC_BIT; + +VmaAllocationCreateInfo stagingAllocInfo = {}; +stagingAllocInfo.usage = VMA_MEMORY_USAGE_AUTO; +stagingAllocInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT; + +VkBuffer stagingBuffer; +VmaAllocation stagingAllocation; +vmaCreateBuffer(allocator, &stagingBufferInfo, &stagingAllocInfo, &stagingBuffer, &stagingAllocation, nullptr); +\endcode + +For more examples of creating different kinds of resources, see chapter \ref usage_patterns. + +Usage values `VMA_MEMORY_USAGE_AUTO*` are legal to use only when the library knows +about the resource being created by having `VkBufferCreateInfo` / `VkImageCreateInfo` passed, +so they work with functions like: vmaCreateBuffer(), vmaCreateImage(), vmaFindMemoryTypeIndexForBufferInfo() etc. +If you allocate raw memory using function vmaAllocateMemory(), you have to use other means of selecting +memory type, as described below. + +\note +Old usage values (`VMA_MEMORY_USAGE_GPU_ONLY`, `VMA_MEMORY_USAGE_CPU_ONLY`, +`VMA_MEMORY_USAGE_CPU_TO_GPU`, `VMA_MEMORY_USAGE_GPU_TO_CPU`, `VMA_MEMORY_USAGE_CPU_COPY`) +are still available and work same way as in previous versions of the library +for backward compatibility, but they are not recommended. + +\section choosing_memory_type_required_preferred_flags Required and preferred flags + +You can specify more detailed requirements by filling members +VmaAllocationCreateInfo::requiredFlags and VmaAllocationCreateInfo::preferredFlags +with a combination of bits from enum `VkMemoryPropertyFlags`. For example, +if you want to create a buffer that will be persistently mapped on host (so it +must be `HOST_VISIBLE`) and preferably will also be `HOST_COHERENT` and `HOST_CACHED`, +use following code: + +\code +VmaAllocationCreateInfo allocInfo = {}; +allocInfo.requiredFlags = VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT; +allocInfo.preferredFlags = VK_MEMORY_PROPERTY_HOST_COHERENT_BIT | VK_MEMORY_PROPERTY_HOST_CACHED_BIT; +allocInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT; + +VkBuffer buffer; +VmaAllocation allocation; +vmaCreateBuffer(allocator, &bufferInfo, &allocInfo, &buffer, &allocation, nullptr); +\endcode + +A memory type is chosen that has all the required flags and as many preferred +flags set as possible. + +Value passed in VmaAllocationCreateInfo::usage is internally converted to a set of required and preferred flags, +plus some extra "magic" (heuristics). + +\section choosing_memory_type_explicit_memory_types Explicit memory types + +If you inspected memory types available on the physical device and you have +a preference for memory types that you want to use, you can fill member +VmaAllocationCreateInfo::memoryTypeBits. It is a bit mask, where each bit set +means that a memory type with that index is allowed to be used for the +allocation. Special value 0, just like `UINT32_MAX`, means there are no +restrictions to memory type index. + +Please note that this member is NOT just a memory type index. +Still you can use it to choose just one, specific memory type. +For example, if you already determined that your buffer should be created in +memory type 2, use following code: + +\code +uint32_t memoryTypeIndex = 2; + +VmaAllocationCreateInfo allocInfo = {}; +allocInfo.memoryTypeBits = 1u << memoryTypeIndex; + +VkBuffer buffer; +VmaAllocation allocation; +vmaCreateBuffer(allocator, &bufferInfo, &allocInfo, &buffer, &allocation, nullptr); +\endcode + + +\section choosing_memory_type_custom_memory_pools Custom memory pools + +If you allocate from custom memory pool, all the ways of specifying memory +requirements described above are not applicable and the aforementioned members +of VmaAllocationCreateInfo structure are ignored. Memory type is selected +explicitly when creating the pool and then used to make all the allocations from +that pool. For further details, see \ref custom_memory_pools. + +\section choosing_memory_type_dedicated_allocations Dedicated allocations + +Memory for allocations is reserved out of larger block of `VkDeviceMemory` +allocated from Vulkan internally. That is the main feature of this whole library. +You can still request a separate memory block to be created for an allocation, +just like you would do in a trivial solution without using any allocator. +In that case, a buffer or image is always bound to that memory at offset 0. +This is called a "dedicated allocation". +You can explicitly request it by using flag #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. +The library can also internally decide to use dedicated allocation in some cases, e.g.: + +- When the size of the allocation is large. +- When [VK_KHR_dedicated_allocation](@ref vk_khr_dedicated_allocation) extension is enabled + and it reports that dedicated allocation is required or recommended for the resource. +- When allocation of next big memory block fails due to not enough device memory, + but allocation with the exact requested size succeeds. + + +\page memory_mapping Memory mapping + +To "map memory" in Vulkan means to obtain a CPU pointer to `VkDeviceMemory`, +to be able to read from it or write to it in CPU code. +Mapping is possible only of memory allocated from a memory type that has +`VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT` flag. +Functions `vkMapMemory()`, `vkUnmapMemory()` are designed for this purpose. +You can use them directly with memory allocated by this library, +but it is not recommended because of following issue: +Mapping the same `VkDeviceMemory` block multiple times is illegal - only one mapping at a time is allowed. +This includes mapping disjoint regions. Mapping is not reference-counted internally by Vulkan. +Because of this, Vulkan Memory Allocator provides following facilities: + +\note If you want to be able to map an allocation, you need to specify one of the flags +#VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT +in VmaAllocationCreateInfo::flags. These flags are required for an allocation to be mappable +when using #VMA_MEMORY_USAGE_AUTO or other `VMA_MEMORY_USAGE_AUTO*` enum values. +For other usage values they are ignored and every such allocation made in `HOST_VISIBLE` memory type is mappable, +but they can still be used for consistency. + +\section memory_mapping_mapping_functions Mapping functions + +The library provides following functions for mapping of a specific #VmaAllocation: vmaMapMemory(), vmaUnmapMemory(). +They are safer and more convenient to use than standard Vulkan functions. +You can map an allocation multiple times simultaneously - mapping is reference-counted internally. +You can also map different allocations simultaneously regardless of whether they use the same `VkDeviceMemory` block. +The way it is implemented is that the library always maps entire memory block, not just region of the allocation. +For further details, see description of vmaMapMemory() function. +Example: + +\code +// Having these objects initialized: +struct ConstantBuffer +{ + ... +}; +ConstantBuffer constantBufferData = ... + +VmaAllocator allocator = ... +VkBuffer constantBuffer = ... +VmaAllocation constantBufferAllocation = ... + +// You can map and fill your buffer using following code: + +void* mappedData; +vmaMapMemory(allocator, constantBufferAllocation, &mappedData); +memcpy(mappedData, &constantBufferData, sizeof(constantBufferData)); +vmaUnmapMemory(allocator, constantBufferAllocation); +\endcode + +When mapping, you may see a warning from Vulkan validation layer similar to this one: + +Mapping an image with layout VK_IMAGE_LAYOUT_DEPTH_STENCIL_ATTACHMENT_OPTIMAL can result in undefined behavior if this memory is used by the device. Only GENERAL or PREINITIALIZED should be used. + +It happens because the library maps entire `VkDeviceMemory` block, where different +types of images and buffers may end up together, especially on GPUs with unified memory like Intel. +You can safely ignore it if you are sure you access only memory of the intended +object that you wanted to map. + + +\section memory_mapping_persistently_mapped_memory Persistently mapped memory + +Keeping your memory persistently mapped is generally OK in Vulkan. +You don't need to unmap it before using its data on the GPU. +The library provides a special feature designed for that: +Allocations made with #VMA_ALLOCATION_CREATE_MAPPED_BIT flag set in +VmaAllocationCreateInfo::flags stay mapped all the time, +so you can just access CPU pointer to it any time +without a need to call any "map" or "unmap" function. +Example: + +\code +VkBufferCreateInfo bufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; +bufCreateInfo.size = sizeof(ConstantBuffer); +bufCreateInfo.usage = VK_BUFFER_USAGE_TRANSFER_SRC_BIT; + +VmaAllocationCreateInfo allocCreateInfo = {}; +allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; +allocCreateInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | + VMA_ALLOCATION_CREATE_MAPPED_BIT; + +VkBuffer buf; +VmaAllocation alloc; +VmaAllocationInfo allocInfo; +vmaCreateBuffer(allocator, &bufCreateInfo, &allocCreateInfo, &buf, &alloc, &allocInfo); + +// Buffer is already mapped. You can access its memory. +memcpy(allocInfo.pMappedData, &constantBufferData, sizeof(constantBufferData)); +\endcode + +\note #VMA_ALLOCATION_CREATE_MAPPED_BIT by itself doesn't guarantee that the allocation will end up +in a mappable memory type. +For this, you need to also specify #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or +#VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT. +#VMA_ALLOCATION_CREATE_MAPPED_BIT only guarantees that if the memory is `HOST_VISIBLE`, the allocation will be mapped on creation. +For an example of how to make use of this fact, see section \ref usage_patterns_advanced_data_uploading. + +\section memory_mapping_cache_control Cache flush and invalidate + +Memory in Vulkan doesn't need to be unmapped before using it on GPU, +but unless a memory types has `VK_MEMORY_PROPERTY_HOST_COHERENT_BIT` flag set, +you need to manually **invalidate** cache before reading of mapped pointer +and **flush** cache after writing to mapped pointer. +Map/unmap operations don't do that automatically. +Vulkan provides following functions for this purpose `vkFlushMappedMemoryRanges()`, +`vkInvalidateMappedMemoryRanges()`, but this library provides more convenient +functions that refer to given allocation object: vmaFlushAllocation(), +vmaInvalidateAllocation(), +or multiple objects at once: vmaFlushAllocations(), vmaInvalidateAllocations(). + +Regions of memory specified for flush/invalidate must be aligned to +`VkPhysicalDeviceLimits::nonCoherentAtomSize`. This is automatically ensured by the library. +In any memory type that is `HOST_VISIBLE` but not `HOST_COHERENT`, all allocations +within blocks are aligned to this value, so their offsets are always multiply of +`nonCoherentAtomSize` and two different allocations never share same "line" of this size. + +Also, Windows drivers from all 3 PC GPU vendors (AMD, Intel, NVIDIA) +currently provide `HOST_COHERENT` flag on all memory types that are +`HOST_VISIBLE`, so on PC you may not need to bother. + + +\page staying_within_budget Staying within budget + +When developing a graphics-intensive game or program, it is important to avoid allocating +more GPU memory than it is physically available. When the memory is over-committed, +various bad things can happen, depending on the specific GPU, graphics driver, and +operating system: + +- It may just work without any problems. +- The application may slow down because some memory blocks are moved to system RAM + and the GPU has to access them through PCI Express bus. +- A new allocation may take very long time to complete, even few seconds, and possibly + freeze entire system. +- The new allocation may fail with `VK_ERROR_OUT_OF_DEVICE_MEMORY`. +- It may even result in GPU crash (TDR), observed as `VK_ERROR_DEVICE_LOST` + returned somewhere later. + +\section staying_within_budget_querying_for_budget Querying for budget + +To query for current memory usage and available budget, use function vmaGetHeapBudgets(). +Returned structure #VmaBudget contains quantities expressed in bytes, per Vulkan memory heap. + +Please note that this function returns different information and works faster than +vmaCalculateStatistics(). vmaGetHeapBudgets() can be called every frame or even before every +allocation, while vmaCalculateStatistics() is intended to be used rarely, +only to obtain statistical information, e.g. for debugging purposes. + +It is recommended to use VK_EXT_memory_budget device extension to obtain information +about the budget from Vulkan device. VMA is able to use this extension automatically. +When not enabled, the allocator behaves same way, but then it estimates current usage +and available budget based on its internal information and Vulkan memory heap sizes, +which may be less precise. In order to use this extension: + +1. Make sure extensions VK_EXT_memory_budget and VK_KHR_get_physical_device_properties2 + required by it are available and enable them. Please note that the first is a device + extension and the second is instance extension! +2. Use flag #VMA_ALLOCATOR_CREATE_EXT_MEMORY_BUDGET_BIT when creating #VmaAllocator object. +3. Make sure to call vmaSetCurrentFrameIndex() every frame. Budget is queried from + Vulkan inside of it to avoid overhead of querying it with every allocation. + +\section staying_within_budget_controlling_memory_usage Controlling memory usage + +There are many ways in which you can try to stay within the budget. + +First, when making new allocation requires allocating a new memory block, the library +tries not to exceed the budget automatically. If a block with default recommended size +(e.g. 256 MB) would go over budget, a smaller block is allocated, possibly even +dedicated memory for just this resource. + +If the size of the requested resource plus current memory usage is more than the +budget, by default the library still tries to create it, leaving it to the Vulkan +implementation whether the allocation succeeds or fails. You can change this behavior +by using #VMA_ALLOCATION_CREATE_WITHIN_BUDGET_BIT flag. With it, the allocation is +not made if it would exceed the budget or if the budget is already exceeded. +VMA then tries to make the allocation from the next eligible Vulkan memory type. +The all of them fail, the call then fails with `VK_ERROR_OUT_OF_DEVICE_MEMORY`. +Example usage pattern may be to pass the #VMA_ALLOCATION_CREATE_WITHIN_BUDGET_BIT flag +when creating resources that are not essential for the application (e.g. the texture +of a specific object) and not to pass it when creating critically important resources +(e.g. render targets). + +On AMD graphics cards there is a custom vendor extension available: VK_AMD_memory_overallocation_behavior +that allows to control the behavior of the Vulkan implementation in out-of-memory cases - +whether it should fail with an error code or still allow the allocation. +Usage of this extension involves only passing extra structure on Vulkan device creation, +so it is out of scope of this library. + +Finally, you can also use #VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT flag to make sure +a new allocation is created only when it fits inside one of the existing memory blocks. +If it would require to allocate a new block, if fails instead with `VK_ERROR_OUT_OF_DEVICE_MEMORY`. +This also ensures that the function call is very fast because it never goes to Vulkan +to obtain a new block. + +\note Creating \ref custom_memory_pools with VmaPoolCreateInfo::minBlockCount +set to more than 0 will currently try to allocate memory blocks without checking whether they +fit within budget. + + +\page resource_aliasing Resource aliasing (overlap) + +New explicit graphics APIs (Vulkan and Direct3D 12), thanks to manual memory +management, give an opportunity to alias (overlap) multiple resources in the +same region of memory - a feature not available in the old APIs (Direct3D 11, OpenGL). +It can be useful to save video memory, but it must be used with caution. + +For example, if you know the flow of your whole render frame in advance, you +are going to use some intermediate textures or buffers only during a small range of render passes, +and you know these ranges don't overlap in time, you can bind these resources to +the same place in memory, even if they have completely different parameters (width, height, format etc.). + +![Resource aliasing (overlap)](../gfx/Aliasing.png) + +Such scenario is possible using VMA, but you need to create your images manually. +Then you need to calculate parameters of an allocation to be made using formula: + +- allocation size = max(size of each image) +- allocation alignment = max(alignment of each image) +- allocation memoryTypeBits = bitwise AND(memoryTypeBits of each image) + +Following example shows two different images bound to the same place in memory, +allocated to fit largest of them. + +\code +// A 512x512 texture to be sampled. +VkImageCreateInfo img1CreateInfo = { VK_STRUCTURE_TYPE_IMAGE_CREATE_INFO }; +img1CreateInfo.imageType = VK_IMAGE_TYPE_2D; +img1CreateInfo.extent.width = 512; +img1CreateInfo.extent.height = 512; +img1CreateInfo.extent.depth = 1; +img1CreateInfo.mipLevels = 10; +img1CreateInfo.arrayLayers = 1; +img1CreateInfo.format = VK_FORMAT_R8G8B8A8_SRGB; +img1CreateInfo.tiling = VK_IMAGE_TILING_OPTIMAL; +img1CreateInfo.initialLayout = VK_IMAGE_LAYOUT_UNDEFINED; +img1CreateInfo.usage = VK_IMAGE_USAGE_TRANSFER_DST_BIT | VK_IMAGE_USAGE_SAMPLED_BIT; +img1CreateInfo.samples = VK_SAMPLE_COUNT_1_BIT; + +// A full screen texture to be used as color attachment. +VkImageCreateInfo img2CreateInfo = { VK_STRUCTURE_TYPE_IMAGE_CREATE_INFO }; +img2CreateInfo.imageType = VK_IMAGE_TYPE_2D; +img2CreateInfo.extent.width = 1920; +img2CreateInfo.extent.height = 1080; +img2CreateInfo.extent.depth = 1; +img2CreateInfo.mipLevels = 1; +img2CreateInfo.arrayLayers = 1; +img2CreateInfo.format = VK_FORMAT_R8G8B8A8_UNORM; +img2CreateInfo.tiling = VK_IMAGE_TILING_OPTIMAL; +img2CreateInfo.initialLayout = VK_IMAGE_LAYOUT_UNDEFINED; +img2CreateInfo.usage = VK_IMAGE_USAGE_SAMPLED_BIT | VK_IMAGE_USAGE_COLOR_ATTACHMENT_BIT; +img2CreateInfo.samples = VK_SAMPLE_COUNT_1_BIT; + +VkImage img1; +res = vkCreateImage(device, &img1CreateInfo, nullptr, &img1); +VkImage img2; +res = vkCreateImage(device, &img2CreateInfo, nullptr, &img2); + +VkMemoryRequirements img1MemReq; +vkGetImageMemoryRequirements(device, img1, &img1MemReq); +VkMemoryRequirements img2MemReq; +vkGetImageMemoryRequirements(device, img2, &img2MemReq); + +VkMemoryRequirements finalMemReq = {}; +finalMemReq.size = std::max(img1MemReq.size, img2MemReq.size); +finalMemReq.alignment = std::max(img1MemReq.alignment, img2MemReq.alignment); +finalMemReq.memoryTypeBits = img1MemReq.memoryTypeBits & img2MemReq.memoryTypeBits; +// Validate if(finalMemReq.memoryTypeBits != 0) + +VmaAllocationCreateInfo allocCreateInfo = {}; +allocCreateInfo.preferredFlags = VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; + +VmaAllocation alloc; +res = vmaAllocateMemory(allocator, &finalMemReq, &allocCreateInfo, &alloc, nullptr); + +res = vmaBindImageMemory(allocator, alloc, img1); +res = vmaBindImageMemory(allocator, alloc, img2); + +// You can use img1, img2 here, but not at the same time! + +vmaFreeMemory(allocator, alloc); +vkDestroyImage(allocator, img2, nullptr); +vkDestroyImage(allocator, img1, nullptr); +\endcode + +VMA also provides convenience functions that create a buffer or image and bind it to memory +represented by an existing #VmaAllocation: +vmaCreateAliasingBuffer(), vmaCreateAliasingBuffer2(), +vmaCreateAliasingImage(), vmaCreateAliasingImage2(). +Versions with "2" offer additional parameter `allocationLocalOffset`. + +Remember that using resources that alias in memory requires proper synchronization. +You need to issue a memory barrier to make sure commands that use `img1` and `img2` +don't overlap on GPU timeline. +You also need to treat a resource after aliasing as uninitialized - containing garbage data. +For example, if you use `img1` and then want to use `img2`, you need to issue +an image memory barrier for `img2` with `oldLayout` = `VK_IMAGE_LAYOUT_UNDEFINED`. + +Additional considerations: + +- Vulkan also allows to interpret contents of memory between aliasing resources consistently in some cases. +See chapter 11.8. "Memory Aliasing" of Vulkan specification or `VK_IMAGE_CREATE_ALIAS_BIT` flag. +- You can create more complex layout where different images and buffers are bound +at different offsets inside one large allocation. For example, one can imagine +a big texture used in some render passes, aliasing with a set of many small buffers +used between in some further passes. To bind a resource at non-zero offset in an allocation, +use vmaBindBufferMemory2() / vmaBindImageMemory2(). +- Before allocating memory for the resources you want to alias, check `memoryTypeBits` +returned in memory requirements of each resource to make sure the bits overlap. +Some GPUs may expose multiple memory types suitable e.g. only for buffers or +images with `COLOR_ATTACHMENT` usage, so the sets of memory types supported by your +resources may be disjoint. Aliasing them is not possible in that case. + + +\page custom_memory_pools Custom memory pools + +A memory pool contains a number of `VkDeviceMemory` blocks. +The library automatically creates and manages default pool for each memory type available on the device. +Default memory pool automatically grows in size. +Size of allocated blocks is also variable and managed automatically. + +You can create custom pool and allocate memory out of it. +It can be useful if you want to: + +- Keep certain kind of allocations separate from others. +- Enforce particular, fixed size of Vulkan memory blocks. +- Limit maximum amount of Vulkan memory allocated for that pool. +- Reserve minimum or fixed amount of Vulkan memory always preallocated for that pool. +- Use extra parameters for a set of your allocations that are available in #VmaPoolCreateInfo but not in + #VmaAllocationCreateInfo - e.g., custom minimum alignment, custom `pNext` chain. +- Perform defragmentation on a specific subset of your allocations. + +To use custom memory pools: + +-# Fill VmaPoolCreateInfo structure. +-# Call vmaCreatePool() to obtain #VmaPool handle. +-# When making an allocation, set VmaAllocationCreateInfo::pool to this handle. + You don't need to specify any other parameters of this structure, like `usage`. + +Example: + +\code +// Find memoryTypeIndex for the pool. +VkBufferCreateInfo sampleBufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; +sampleBufCreateInfo.size = 0x10000; // Doesn't matter. +sampleBufCreateInfo.usage = VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; + +VmaAllocationCreateInfo sampleAllocCreateInfo = {}; +sampleAllocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; + +uint32_t memTypeIndex; +VkResult res = vmaFindMemoryTypeIndexForBufferInfo(allocator, + &sampleBufCreateInfo, &sampleAllocCreateInfo, &memTypeIndex); +// Check res... + +// Create a pool that can have at most 2 blocks, 128 MiB each. +VmaPoolCreateInfo poolCreateInfo = {}; +poolCreateInfo.memoryTypeIndex = memTypeIndex; +poolCreateInfo.blockSize = 128ull * 1024 * 1024; +poolCreateInfo.maxBlockCount = 2; + +VmaPool pool; +res = vmaCreatePool(allocator, &poolCreateInfo, &pool); +// Check res... + +// Allocate a buffer out of it. +VkBufferCreateInfo bufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; +bufCreateInfo.size = 1024; +bufCreateInfo.usage = VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; + +VmaAllocationCreateInfo allocCreateInfo = {}; +allocCreateInfo.pool = pool; + +VkBuffer buf; +VmaAllocation alloc; +res = vmaCreateBuffer(allocator, &bufCreateInfo, &allocCreateInfo, &buf, &alloc, nullptr); +// Check res... +\endcode + +You have to free all allocations made from this pool before destroying it. + +\code +vmaDestroyBuffer(allocator, buf, alloc); +vmaDestroyPool(allocator, pool); +\endcode + +New versions of this library support creating dedicated allocations in custom pools. +It is supported only when VmaPoolCreateInfo::blockSize = 0. +To use this feature, set VmaAllocationCreateInfo::pool to the pointer to your custom pool and +VmaAllocationCreateInfo::flags to #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. + +\note Excessive use of custom pools is a common mistake when using this library. +Custom pools may be useful for special purposes - when you want to +keep certain type of resources separate e.g. to reserve minimum amount of memory +for them or limit maximum amount of memory they can occupy. For most +resources this is not needed and so it is not recommended to create #VmaPool +objects and allocations out of them. Allocating from the default pool is sufficient. + + +\section custom_memory_pools_MemTypeIndex Choosing memory type index + +When creating a pool, you must explicitly specify memory type index. +To find the one suitable for your buffers or images, you can use helper functions +vmaFindMemoryTypeIndexForBufferInfo(), vmaFindMemoryTypeIndexForImageInfo(). +You need to provide structures with example parameters of buffers or images +that you are going to create in that pool. + +\code +VkBufferCreateInfo exampleBufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; +exampleBufCreateInfo.size = 1024; // Doesn't matter +exampleBufCreateInfo.usage = VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; + +VmaAllocationCreateInfo allocCreateInfo = {}; +allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; + +uint32_t memTypeIndex; +vmaFindMemoryTypeIndexForBufferInfo(allocator, &exampleBufCreateInfo, &allocCreateInfo, &memTypeIndex); + +VmaPoolCreateInfo poolCreateInfo = {}; +poolCreateInfo.memoryTypeIndex = memTypeIndex; +// ... +\endcode + +When creating buffers/images allocated in that pool, provide following parameters: + +- `VkBufferCreateInfo`: Prefer to pass same parameters as above. + Otherwise you risk creating resources in a memory type that is not suitable for them, which may result in undefined behavior. + Using different `VK_BUFFER_USAGE_` flags may work, but you shouldn't create images in a pool intended for buffers + or the other way around. +- VmaAllocationCreateInfo: You don't need to pass same parameters. Fill only `pool` member. + Other members are ignored anyway. + +\section linear_algorithm Linear allocation algorithm + +Each Vulkan memory block managed by this library has accompanying metadata that +keeps track of used and unused regions. By default, the metadata structure and +algorithm tries to find best place for new allocations among free regions to +optimize memory usage. This way you can allocate and free objects in any order. + +![Default allocation algorithm](../gfx/Linear_allocator_1_algo_default.png) + +Sometimes there is a need to use simpler, linear allocation algorithm. You can +create custom pool that uses such algorithm by adding flag +#VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT to VmaPoolCreateInfo::flags while creating +#VmaPool object. Then an alternative metadata management is used. It always +creates new allocations after last one and doesn't reuse free regions after +allocations freed in the middle. It results in better allocation performance and +less memory consumed by metadata. + +![Linear allocation algorithm](../gfx/Linear_allocator_2_algo_linear.png) + +With this one flag, you can create a custom pool that can be used in many ways: +free-at-once, stack, double stack, and ring buffer. See below for details. +You don't need to specify explicitly which of these options you are going to use - it is detected automatically. + +\subsection linear_algorithm_free_at_once Free-at-once + +In a pool that uses linear algorithm, you still need to free all the allocations +individually, e.g. by using vmaFreeMemory() or vmaDestroyBuffer(). You can free +them in any order. New allocations are always made after last one - free space +in the middle is not reused. However, when you release all the allocation and +the pool becomes empty, allocation starts from the beginning again. This way you +can use linear algorithm to speed up creation of allocations that you are going +to release all at once. + +![Free-at-once](../gfx/Linear_allocator_3_free_at_once.png) + +This mode is also available for pools created with VmaPoolCreateInfo::maxBlockCount +value that allows multiple memory blocks. + +\subsection linear_algorithm_stack Stack + +When you free an allocation that was created last, its space can be reused. +Thanks to this, if you always release allocations in the order opposite to their +creation (LIFO - Last In First Out), you can achieve behavior of a stack. + +![Stack](../gfx/Linear_allocator_4_stack.png) + +This mode is also available for pools created with VmaPoolCreateInfo::maxBlockCount +value that allows multiple memory blocks. + +\subsection linear_algorithm_double_stack Double stack + +The space reserved by a custom pool with linear algorithm may be used by two +stacks: + +- First, default one, growing up from offset 0. +- Second, "upper" one, growing down from the end towards lower offsets. + +To make allocation from the upper stack, add flag #VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT +to VmaAllocationCreateInfo::flags. + +![Double stack](../gfx/Linear_allocator_7_double_stack.png) + +Double stack is available only in pools with one memory block - +VmaPoolCreateInfo::maxBlockCount must be 1. Otherwise behavior is undefined. + +When the two stacks' ends meet so there is not enough space between them for a +new allocation, such allocation fails with usual +`VK_ERROR_OUT_OF_DEVICE_MEMORY` error. + +\subsection linear_algorithm_ring_buffer Ring buffer + +When you free some allocations from the beginning and there is not enough free space +for a new one at the end of a pool, allocator's "cursor" wraps around to the +beginning and starts allocation there. Thanks to this, if you always release +allocations in the same order as you created them (FIFO - First In First Out), +you can achieve behavior of a ring buffer / queue. + +![Ring buffer](../gfx/Linear_allocator_5_ring_buffer.png) + +Ring buffer is available only in pools with one memory block - +VmaPoolCreateInfo::maxBlockCount must be 1. Otherwise behavior is undefined. + +\note \ref defragmentation is not supported in custom pools created with #VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT. + + +\page defragmentation Defragmentation + +Interleaved allocations and deallocations of many objects of varying size can +cause fragmentation over time, which can lead to a situation where the library is unable +to find a continuous range of free memory for a new allocation despite there is +enough free space, just scattered across many small free ranges between existing +allocations. + +To mitigate this problem, you can use defragmentation feature. +It doesn't happen automatically though and needs your cooperation, +because VMA is a low level library that only allocates memory. +It cannot recreate buffers and images in a new place as it doesn't remember the contents of `VkBufferCreateInfo` / `VkImageCreateInfo` structures. +It cannot copy their contents as it doesn't record any commands to a command buffer. + +Example: + +\code +VmaDefragmentationInfo defragInfo = {}; +defragInfo.pool = myPool; +defragInfo.flags = VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FAST_BIT; + +VmaDefragmentationContext defragCtx; +VkResult res = vmaBeginDefragmentation(allocator, &defragInfo, &defragCtx); +// Check res... + +for(;;) +{ + VmaDefragmentationPassMoveInfo pass; + res = vmaBeginDefragmentationPass(allocator, defragCtx, &pass); + if(res == VK_SUCCESS) + break; + else if(res != VK_INCOMPLETE) + // Handle error... + + for(uint32_t i = 0; i < pass.moveCount; ++i) + { + // Inspect pass.pMoves[i].srcAllocation, identify what buffer/image it represents. + VmaAllocationInfo allocInfo; + vmaGetAllocationInfo(allocator, pass.pMoves[i].srcAllocation, &allocInfo); + MyEngineResourceData* resData = (MyEngineResourceData*)allocInfo.pUserData; + + // Recreate and bind this buffer/image at: pass.pMoves[i].dstMemory, pass.pMoves[i].dstOffset. + VkImageCreateInfo imgCreateInfo = ... + VkImage newImg; + res = vkCreateImage(device, &imgCreateInfo, nullptr, &newImg); + // Check res... + res = vmaBindImageMemory(allocator, pass.pMoves[i].dstTmpAllocation, newImg); + // Check res... + + // Issue a vkCmdCopyBuffer/vkCmdCopyImage to copy its content to the new place. + vkCmdCopyImage(cmdBuf, resData->img, ..., newImg, ...); + } + + // Make sure the copy commands finished executing. + vkWaitForFences(...); + + // Destroy old buffers/images bound with pass.pMoves[i].srcAllocation. + for(uint32_t i = 0; i < pass.moveCount; ++i) + { + // ... + vkDestroyImage(device, resData->img, nullptr); + } + + // Update appropriate descriptors to point to the new places... + + res = vmaEndDefragmentationPass(allocator, defragCtx, &pass); + if(res == VK_SUCCESS) + break; + else if(res != VK_INCOMPLETE) + // Handle error... +} + +vmaEndDefragmentation(allocator, defragCtx, nullptr); +\endcode + +Although functions like vmaCreateBuffer(), vmaCreateImage(), vmaDestroyBuffer(), vmaDestroyImage() +create/destroy an allocation and a buffer/image at once, these are just a shortcut for +creating the resource, allocating memory, and binding them together. +Defragmentation works on memory allocations only. You must handle the rest manually. +Defragmentation is an iterative process that should repreat "passes" as long as related functions +return `VK_INCOMPLETE` not `VK_SUCCESS`. +In each pass: + +1. vmaBeginDefragmentationPass() function call: + - Calculates and returns the list of allocations to be moved in this pass. + Note this can be a time-consuming process. + - Reserves destination memory for them by creating temporary destination allocations + that you can query for their `VkDeviceMemory` + offset using vmaGetAllocationInfo(). +2. Inside the pass, **you should**: + - Inspect the returned list of allocations to be moved. + - Create new buffers/images and bind them at the returned destination temporary allocations. + - Copy data from source to destination resources if necessary. + - Destroy the source buffers/images, but NOT their allocations. +3. vmaEndDefragmentationPass() function call: + - Frees the source memory reserved for the allocations that are moved. + - Modifies source #VmaAllocation objects that are moved to point to the destination reserved memory. + - Frees `VkDeviceMemory` blocks that became empty. + +Unlike in previous iterations of the defragmentation API, there is no list of "movable" allocations passed as a parameter. +Defragmentation algorithm tries to move all suitable allocations. +You can, however, refuse to move some of them inside a defragmentation pass, by setting +`pass.pMoves[i].operation` to #VMA_DEFRAGMENTATION_MOVE_OPERATION_IGNORE. +This is not recommended and may result in suboptimal packing of the allocations after defragmentation. +If you cannot ensure any allocation can be moved, it is better to keep movable allocations separate in a custom pool. + +Inside a pass, for each allocation that should be moved: + +- You should copy its data from the source to the destination place by calling e.g. `vkCmdCopyBuffer()`, `vkCmdCopyImage()`. + - You need to make sure these commands finished executing before destroying the source buffers/images and before calling vmaEndDefragmentationPass(). +- If a resource doesn't contain any meaningful data, e.g. it is a transient color attachment image to be cleared, + filled, and used temporarily in each rendering frame, you can just recreate this image + without copying its data. +- If the resource is in `HOST_VISIBLE` and `HOST_CACHED` memory, you can copy its data on the CPU + using `memcpy()`. +- If you cannot move the allocation, you can set `pass.pMoves[i].operation` to #VMA_DEFRAGMENTATION_MOVE_OPERATION_IGNORE. + This will cancel the move. + - vmaEndDefragmentationPass() will then free the destination memory + not the source memory of the allocation, leaving it unchanged. +- If you decide the allocation is unimportant and can be destroyed instead of moved (e.g. it wasn't used for long time), + you can set `pass.pMoves[i].operation` to #VMA_DEFRAGMENTATION_MOVE_OPERATION_DESTROY. + - vmaEndDefragmentationPass() will then free both source and destination memory, and will destroy the source #VmaAllocation object. + +You can defragment a specific custom pool by setting VmaDefragmentationInfo::pool +(like in the example above) or all the default pools by setting this member to null. + +Defragmentation is always performed in each pool separately. +Allocations are never moved between different Vulkan memory types. +The size of the destination memory reserved for a moved allocation is the same as the original one. +Alignment of an allocation as it was determined using `vkGetBufferMemoryRequirements()` etc. is also respected after defragmentation. +Buffers/images should be recreated with the same `VkBufferCreateInfo` / `VkImageCreateInfo` parameters as the original ones. + +You can perform the defragmentation incrementally to limit the number of allocations and bytes to be moved +in each pass, e.g. to call it in sync with render frames and not to experience too big hitches. +See members: VmaDefragmentationInfo::maxBytesPerPass, VmaDefragmentationInfo::maxAllocationsPerPass. + +It is also safe to perform the defragmentation asynchronously to render frames and other Vulkan and VMA +usage, possibly from multiple threads, with the exception that allocations +returned in VmaDefragmentationPassMoveInfo::pMoves shouldn't be destroyed until the defragmentation pass is ended. + +Mapping is preserved on allocations that are moved during defragmentation. +Whether through #VMA_ALLOCATION_CREATE_MAPPED_BIT or vmaMapMemory(), the allocations +are mapped at their new place. Of course, pointer to the mapped data changes, so it needs to be queried +using VmaAllocationInfo::pMappedData. + +\note Defragmentation is not supported in custom pools created with #VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT. + + +\page statistics Statistics + +This library contains several functions that return information about its internal state, +especially the amount of memory allocated from Vulkan. + +\section statistics_numeric_statistics Numeric statistics + +If you need to obtain basic statistics about memory usage per heap, together with current budget, +you can call function vmaGetHeapBudgets() and inspect structure #VmaBudget. +This is useful to keep track of memory usage and stay within budget +(see also \ref staying_within_budget). +Example: + +\code +uint32_t heapIndex = ... + +VmaBudget budgets[VK_MAX_MEMORY_HEAPS]; +vmaGetHeapBudgets(allocator, budgets); + +printf("My heap currently has %u allocations taking %llu B,\n", + budgets[heapIndex].statistics.allocationCount, + budgets[heapIndex].statistics.allocationBytes); +printf("allocated out of %u Vulkan device memory blocks taking %llu B,\n", + budgets[heapIndex].statistics.blockCount, + budgets[heapIndex].statistics.blockBytes); +printf("Vulkan reports total usage %llu B with budget %llu B.\n", + budgets[heapIndex].usage, + budgets[heapIndex].budget); +\endcode + +You can query for more detailed statistics per memory heap, type, and totals, +including minimum and maximum allocation size and unused range size, +by calling function vmaCalculateStatistics() and inspecting structure #VmaTotalStatistics. +This function is slower though, as it has to traverse all the internal data structures, +so it should be used only for debugging purposes. + +You can query for statistics of a custom pool using function vmaGetPoolStatistics() +or vmaCalculatePoolStatistics(). + +You can query for information about a specific allocation using function vmaGetAllocationInfo(). +It fill structure #VmaAllocationInfo. + +\section statistics_json_dump JSON dump + +You can dump internal state of the allocator to a string in JSON format using function vmaBuildStatsString(). +The result is guaranteed to be correct JSON. +It uses ANSI encoding. +Any strings provided by user (see [Allocation names](@ref allocation_names)) +are copied as-is and properly escaped for JSON, so if they use UTF-8, ISO-8859-2 or any other encoding, +this JSON string can be treated as using this encoding. +It must be freed using function vmaFreeStatsString(). + +The format of this JSON string is not part of official documentation of the library, +but it will not change in backward-incompatible way without increasing library major version number +and appropriate mention in changelog. + +The JSON string contains all the data that can be obtained using vmaCalculateStatistics(). +It can also contain detailed map of allocated memory blocks and their regions - +free and occupied by allocations. +This allows e.g. to visualize the memory or assess fragmentation. + + +\page allocation_annotation Allocation names and user data + +\section allocation_user_data Allocation user data + +You can annotate allocations with your own information, e.g. for debugging purposes. +To do that, fill VmaAllocationCreateInfo::pUserData field when creating +an allocation. It is an opaque `void*` pointer. You can use it e.g. as a pointer, +some handle, index, key, ordinal number or any other value that would associate +the allocation with your custom metadata. +It is useful to identify appropriate data structures in your engine given #VmaAllocation, +e.g. when doing \ref defragmentation. + +\code +VkBufferCreateInfo bufCreateInfo = ... + +MyBufferMetadata* pMetadata = CreateBufferMetadata(); + +VmaAllocationCreateInfo allocCreateInfo = {}; +allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; +allocCreateInfo.pUserData = pMetadata; + +VkBuffer buffer; +VmaAllocation allocation; +vmaCreateBuffer(allocator, &bufCreateInfo, &allocCreateInfo, &buffer, &allocation, nullptr); +\endcode + +The pointer may be later retrieved as VmaAllocationInfo::pUserData: + +\code +VmaAllocationInfo allocInfo; +vmaGetAllocationInfo(allocator, allocation, &allocInfo); +MyBufferMetadata* pMetadata = (MyBufferMetadata*)allocInfo.pUserData; +\endcode + +It can also be changed using function vmaSetAllocationUserData(). + +Values of (non-zero) allocations' `pUserData` are printed in JSON report created by +vmaBuildStatsString() in hexadecimal form. + +\section allocation_names Allocation names + +An allocation can also carry a null-terminated string, giving a name to the allocation. +To set it, call vmaSetAllocationName(). +The library creates internal copy of the string, so the pointer you pass doesn't need +to be valid for whole lifetime of the allocation. You can free it after the call. + +\code +std::string imageName = "Texture: "; +imageName += fileName; +vmaSetAllocationName(allocator, allocation, imageName.c_str()); +\endcode + +The string can be later retrieved by inspecting VmaAllocationInfo::pName. +It is also printed in JSON report created by vmaBuildStatsString(). + +\note Setting string name to VMA allocation doesn't automatically set it to the Vulkan buffer or image created with it. +You must do it manually using an extension like VK_EXT_debug_utils, which is independent of this library. + + +\page virtual_allocator Virtual allocator + +As an extra feature, the core allocation algorithm of the library is exposed through a simple and convenient API of "virtual allocator". +It doesn't allocate any real GPU memory. It just keeps track of used and free regions of a "virtual block". +You can use it to allocate your own memory or other objects, even completely unrelated to Vulkan. +A common use case is sub-allocation of pieces of one large GPU buffer. + +\section virtual_allocator_creating_virtual_block Creating virtual block + +To use this functionality, there is no main "allocator" object. +You don't need to have #VmaAllocator object created. +All you need to do is to create a separate #VmaVirtualBlock object for each block of memory you want to be managed by the allocator: + +-# Fill in #VmaVirtualBlockCreateInfo structure. +-# Call vmaCreateVirtualBlock(). Get new #VmaVirtualBlock object. + +Example: + +\code +VmaVirtualBlockCreateInfo blockCreateInfo = {}; +blockCreateInfo.size = 1048576; // 1 MB + +VmaVirtualBlock block; +VkResult res = vmaCreateVirtualBlock(&blockCreateInfo, &block); +\endcode + +\section virtual_allocator_making_virtual_allocations Making virtual allocations + +#VmaVirtualBlock object contains internal data structure that keeps track of free and occupied regions +using the same code as the main Vulkan memory allocator. +Similarly to #VmaAllocation for standard GPU allocations, there is #VmaVirtualAllocation type +that represents an opaque handle to an allocation within the virtual block. + +In order to make such allocation: + +-# Fill in #VmaVirtualAllocationCreateInfo structure. +-# Call vmaVirtualAllocate(). Get new #VmaVirtualAllocation object that represents the allocation. + You can also receive `VkDeviceSize offset` that was assigned to the allocation. + +Example: + +\code +VmaVirtualAllocationCreateInfo allocCreateInfo = {}; +allocCreateInfo.size = 4096; // 4 KB + +VmaVirtualAllocation alloc; +VkDeviceSize offset; +res = vmaVirtualAllocate(block, &allocCreateInfo, &alloc, &offset); +if(res == VK_SUCCESS) +{ + // Use the 4 KB of your memory starting at offset. +} +else +{ + // Allocation failed - no space for it could be found. Handle this error! +} +\endcode + +\section virtual_allocator_deallocation Deallocation + +When no longer needed, an allocation can be freed by calling vmaVirtualFree(). +You can only pass to this function an allocation that was previously returned by vmaVirtualAllocate() +called for the same #VmaVirtualBlock. + +When whole block is no longer needed, the block object can be released by calling vmaDestroyVirtualBlock(). +All allocations must be freed before the block is destroyed, which is checked internally by an assert. +However, if you don't want to call vmaVirtualFree() for each allocation, you can use vmaClearVirtualBlock() to free them all at once - +a feature not available in normal Vulkan memory allocator. Example: + +\code +vmaVirtualFree(block, alloc); +vmaDestroyVirtualBlock(block); +\endcode + +\section virtual_allocator_allocation_parameters Allocation parameters + +You can attach a custom pointer to each allocation by using vmaSetVirtualAllocationUserData(). +Its default value is null. +It can be used to store any data that needs to be associated with that allocation - e.g. an index, a handle, or a pointer to some +larger data structure containing more information. Example: + +\code +struct CustomAllocData +{ + std::string m_AllocName; +}; +CustomAllocData* allocData = new CustomAllocData(); +allocData->m_AllocName = "My allocation 1"; +vmaSetVirtualAllocationUserData(block, alloc, allocData); +\endcode + +The pointer can later be fetched, along with allocation offset and size, by passing the allocation handle to function +vmaGetVirtualAllocationInfo() and inspecting returned structure #VmaVirtualAllocationInfo. +If you allocated a new object to be used as the custom pointer, don't forget to delete that object before freeing the allocation! +Example: + +\code +VmaVirtualAllocationInfo allocInfo; +vmaGetVirtualAllocationInfo(block, alloc, &allocInfo); +delete (CustomAllocData*)allocInfo.pUserData; + +vmaVirtualFree(block, alloc); +\endcode + +\section virtual_allocator_alignment_and_units Alignment and units + +It feels natural to express sizes and offsets in bytes. +If an offset of an allocation needs to be aligned to a multiply of some number (e.g. 4 bytes), you can fill optional member +VmaVirtualAllocationCreateInfo::alignment to request it. Example: + +\code +VmaVirtualAllocationCreateInfo allocCreateInfo = {}; +allocCreateInfo.size = 4096; // 4 KB +allocCreateInfo.alignment = 4; // Returned offset must be a multiply of 4 B + +VmaVirtualAllocation alloc; +res = vmaVirtualAllocate(block, &allocCreateInfo, &alloc, nullptr); +\endcode + +Alignments of different allocations made from one block may vary. +However, if all alignments and sizes are always multiply of some size e.g. 4 B or `sizeof(MyDataStruct)`, +you can express all sizes, alignments, and offsets in multiples of that size instead of individual bytes. +It might be more convenient, but you need to make sure to use this new unit consistently in all the places: + +- VmaVirtualBlockCreateInfo::size +- VmaVirtualAllocationCreateInfo::size and VmaVirtualAllocationCreateInfo::alignment +- Using offset returned by vmaVirtualAllocate() or in VmaVirtualAllocationInfo::offset + +\section virtual_allocator_statistics Statistics + +You can obtain statistics of a virtual block using vmaGetVirtualBlockStatistics() +(to get brief statistics that are fast to calculate) +or vmaCalculateVirtualBlockStatistics() (to get more detailed statistics, slower to calculate). +The functions fill structures #VmaStatistics, #VmaDetailedStatistics respectively - same as used by the normal Vulkan memory allocator. +Example: + +\code +VmaStatistics stats; +vmaGetVirtualBlockStatistics(block, &stats); +printf("My virtual block has %llu bytes used by %u virtual allocations\n", + stats.allocationBytes, stats.allocationCount); +\endcode + +You can also request a full list of allocations and free regions as a string in JSON format by calling +vmaBuildVirtualBlockStatsString(). +Returned string must be later freed using vmaFreeVirtualBlockStatsString(). +The format of this string differs from the one returned by the main Vulkan allocator, but it is similar. + +\section virtual_allocator_additional_considerations Additional considerations + +The "virtual allocator" functionality is implemented on a level of individual memory blocks. +Keeping track of a whole collection of blocks, allocating new ones when out of free space, +deleting empty ones, and deciding which one to try first for a new allocation must be implemented by the user. + +Alternative allocation algorithms are supported, just like in custom pools of the real GPU memory. +See enum #VmaVirtualBlockCreateFlagBits to learn how to specify them (e.g. #VMA_VIRTUAL_BLOCK_CREATE_LINEAR_ALGORITHM_BIT). +You can find their description in chapter \ref custom_memory_pools. +Allocation strategies are also supported. +See enum #VmaVirtualAllocationCreateFlagBits to learn how to specify them (e.g. #VMA_VIRTUAL_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT). + +Following features are supported only by the allocator of the real GPU memory and not by virtual allocations: +buffer-image granularity, `VMA_DEBUG_MARGIN`, `VMA_MIN_ALIGNMENT`. + + +\page debugging_memory_usage Debugging incorrect memory usage + +If you suspect a bug with memory usage, like usage of uninitialized memory or +memory being overwritten out of bounds of an allocation, +you can use debug features of this library to verify this. + +\section debugging_memory_usage_initialization Memory initialization + +If you experience a bug with incorrect and nondeterministic data in your program and you suspect uninitialized memory to be used, +you can enable automatic memory initialization to verify this. +To do it, define macro `VMA_DEBUG_INITIALIZE_ALLOCATIONS` to 1. + +\code +#define VMA_DEBUG_INITIALIZE_ALLOCATIONS 1 +#include "vk_mem_alloc.h" +\endcode + +It makes memory of new allocations initialized to bit pattern `0xDCDCDCDC`. +Before an allocation is destroyed, its memory is filled with bit pattern `0xEFEFEFEF`. +Memory is automatically mapped and unmapped if necessary. + +If you find these values while debugging your program, good chances are that you incorrectly +read Vulkan memory that is allocated but not initialized, or already freed, respectively. + +Memory initialization works only with memory types that are `HOST_VISIBLE` and with allocations that can be mapped. +It works also with dedicated allocations. + +\section debugging_memory_usage_margins Margins + +By default, allocations are laid out in memory blocks next to each other if possible +(considering required alignment, `bufferImageGranularity`, and `nonCoherentAtomSize`). + +![Allocations without margin](../gfx/Margins_1.png) + +Define macro `VMA_DEBUG_MARGIN` to some non-zero value (e.g. 16) to enforce specified +number of bytes as a margin after every allocation. + +\code +#define VMA_DEBUG_MARGIN 16 +#include "vk_mem_alloc.h" +\endcode + +![Allocations with margin](../gfx/Margins_2.png) + +If your bug goes away after enabling margins, it means it may be caused by memory +being overwritten outside of allocation boundaries. It is not 100% certain though. +Change in application behavior may also be caused by different order and distribution +of allocations across memory blocks after margins are applied. + +Margins work with all types of memory. + +Margin is applied only to allocations made out of memory blocks and not to dedicated +allocations, which have their own memory block of specific size. +It is thus not applied to allocations made using #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT flag +or those automatically decided to put into dedicated allocations, e.g. due to its +large size or recommended by VK_KHR_dedicated_allocation extension. + +Margins appear in [JSON dump](@ref statistics_json_dump) as part of free space. + +Note that enabling margins increases memory usage and fragmentation. + +Margins do not apply to \ref virtual_allocator. + +\section debugging_memory_usage_corruption_detection Corruption detection + +You can additionally define macro `VMA_DEBUG_DETECT_CORRUPTION` to 1 to enable validation +of contents of the margins. + +\code +#define VMA_DEBUG_MARGIN 16 +#define VMA_DEBUG_DETECT_CORRUPTION 1 +#include "vk_mem_alloc.h" +\endcode + +When this feature is enabled, number of bytes specified as `VMA_DEBUG_MARGIN` +(it must be multiply of 4) after every allocation is filled with a magic number. +This idea is also know as "canary". +Memory is automatically mapped and unmapped if necessary. + +This number is validated automatically when the allocation is destroyed. +If it is not equal to the expected value, `VMA_ASSERT()` is executed. +It clearly means that either CPU or GPU overwritten the memory outside of boundaries of the allocation, +which indicates a serious bug. + +You can also explicitly request checking margins of all allocations in all memory blocks +that belong to specified memory types by using function vmaCheckCorruption(), +or in memory blocks that belong to specified custom pool, by using function +vmaCheckPoolCorruption(). + +Margin validation (corruption detection) works only for memory types that are +`HOST_VISIBLE` and `HOST_COHERENT`. + + +\page opengl_interop OpenGL Interop + +VMA provides some features that help with interoperability with OpenGL. + +\section opengl_interop_exporting_memory Exporting memory + +If you want to attach `VkExportMemoryAllocateInfoKHR` structure to `pNext` chain of memory allocations made by the library: + +It is recommended to create \ref custom_memory_pools for such allocations. +Define and fill in your `VkExportMemoryAllocateInfoKHR` structure and attach it to VmaPoolCreateInfo::pMemoryAllocateNext +while creating the custom pool. +Please note that the structure must remain alive and unchanged for the whole lifetime of the #VmaPool, +not only while creating it, as no copy of the structure is made, +but its original pointer is used for each allocation instead. + +If you want to export all memory allocated by the library from certain memory types, +also dedicated allocations or other allocations made from default pools, +an alternative solution is to fill in VmaAllocatorCreateInfo::pTypeExternalMemoryHandleTypes. +It should point to an array with `VkExternalMemoryHandleTypeFlagsKHR` to be automatically passed by the library +through `VkExportMemoryAllocateInfoKHR` on each allocation made from a specific memory type. +Please note that new versions of the library also support dedicated allocations created in custom pools. + +You should not mix these two methods in a way that allows to apply both to the same memory type. +Otherwise, `VkExportMemoryAllocateInfoKHR` structure would be attached twice to the `pNext` chain of `VkMemoryAllocateInfo`. + + +\section opengl_interop_custom_alignment Custom alignment + +Buffers or images exported to a different API like OpenGL may require a different alignment, +higher than the one used by the library automatically, queried from functions like `vkGetBufferMemoryRequirements`. +To impose such alignment: + +It is recommended to create \ref custom_memory_pools for such allocations. +Set VmaPoolCreateInfo::minAllocationAlignment member to the minimum alignment required for each allocation +to be made out of this pool. +The alignment actually used will be the maximum of this member and the alignment returned for the specific buffer or image +from a function like `vkGetBufferMemoryRequirements`, which is called by VMA automatically. + +If you want to create a buffer with a specific minimum alignment out of default pools, +use special function vmaCreateBufferWithAlignment(), which takes additional parameter `minAlignment`. + +Note the problem of alignment affects only resources placed inside bigger `VkDeviceMemory` blocks and not dedicated +allocations, as these, by definition, always have alignment = 0 because the resource is bound to the beginning of its dedicated block. +Contrary to Direct3D 12, Vulkan doesn't have a concept of alignment of the entire memory block passed on its allocation. + + +\page usage_patterns Recommended usage patterns + +Vulkan gives great flexibility in memory allocation. +This chapter shows the most common patterns. + +See also slides from talk: +[Sawicki, Adam. Advanced Graphics Techniques Tutorial: Memory management in Vulkan and DX12. Game Developers Conference, 2018](https://www.gdcvault.com/play/1025458/Advanced-Graphics-Techniques-Tutorial-New) + + +\section usage_patterns_gpu_only GPU-only resource + +When: +Any resources that you frequently write and read on GPU, +e.g. images used as color attachments (aka "render targets"), depth-stencil attachments, +images/buffers used as storage image/buffer (aka "Unordered Access View (UAV)"). + +What to do: +Let the library select the optimal memory type, which will likely have `VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT`. + +\code +VkImageCreateInfo imgCreateInfo = { VK_STRUCTURE_TYPE_IMAGE_CREATE_INFO }; +imgCreateInfo.imageType = VK_IMAGE_TYPE_2D; +imgCreateInfo.extent.width = 3840; +imgCreateInfo.extent.height = 2160; +imgCreateInfo.extent.depth = 1; +imgCreateInfo.mipLevels = 1; +imgCreateInfo.arrayLayers = 1; +imgCreateInfo.format = VK_FORMAT_R8G8B8A8_UNORM; +imgCreateInfo.tiling = VK_IMAGE_TILING_OPTIMAL; +imgCreateInfo.initialLayout = VK_IMAGE_LAYOUT_UNDEFINED; +imgCreateInfo.usage = VK_IMAGE_USAGE_SAMPLED_BIT | VK_IMAGE_USAGE_COLOR_ATTACHMENT_BIT; +imgCreateInfo.samples = VK_SAMPLE_COUNT_1_BIT; + +VmaAllocationCreateInfo allocCreateInfo = {}; +allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; +allocCreateInfo.flags = VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT; +allocCreateInfo.priority = 1.0f; + +VkImage img; +VmaAllocation alloc; +vmaCreateImage(allocator, &imgCreateInfo, &allocCreateInfo, &img, &alloc, nullptr); +\endcode + +Also consider: +Consider creating them as dedicated allocations using #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT, +especially if they are large or if you plan to destroy and recreate them with different sizes +e.g. when display resolution changes. +Prefer to create such resources first and all other GPU resources (like textures and vertex buffers) later. +When VK_EXT_memory_priority extension is enabled, it is also worth setting high priority to such allocation +to decrease chances to be evicted to system memory by the operating system. + +\section usage_patterns_staging_copy_upload Staging copy for upload + +When: +A "staging" buffer than you want to map and fill from CPU code, then use as a source of transfer +to some GPU resource. + +What to do: +Use flag #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT. +Let the library select the optimal memory type, which will always have `VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT`. + +\code +VkBufferCreateInfo bufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; +bufCreateInfo.size = 65536; +bufCreateInfo.usage = VK_BUFFER_USAGE_TRANSFER_SRC_BIT; + +VmaAllocationCreateInfo allocCreateInfo = {}; +allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; +allocCreateInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | + VMA_ALLOCATION_CREATE_MAPPED_BIT; + +VkBuffer buf; +VmaAllocation alloc; +VmaAllocationInfo allocInfo; +vmaCreateBuffer(allocator, &bufCreateInfo, &allocCreateInfo, &buf, &alloc, &allocInfo); + +... + +memcpy(allocInfo.pMappedData, myData, myDataSize); +\endcode + +Also consider: +You can map the allocation using vmaMapMemory() or you can create it as persistenly mapped +using #VMA_ALLOCATION_CREATE_MAPPED_BIT, as in the example above. + + +\section usage_patterns_readback Readback + +When: +Buffers for data written by or transferred from the GPU that you want to read back on the CPU, +e.g. results of some computations. + +What to do: +Use flag #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT. +Let the library select the optimal memory type, which will always have `VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT` +and `VK_MEMORY_PROPERTY_HOST_CACHED_BIT`. + +\code +VkBufferCreateInfo bufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; +bufCreateInfo.size = 65536; +bufCreateInfo.usage = VK_BUFFER_USAGE_TRANSFER_DST_BIT; + +VmaAllocationCreateInfo allocCreateInfo = {}; +allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; +allocCreateInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | + VMA_ALLOCATION_CREATE_MAPPED_BIT; + +VkBuffer buf; +VmaAllocation alloc; +VmaAllocationInfo allocInfo; +vmaCreateBuffer(allocator, &bufCreateInfo, &allocCreateInfo, &buf, &alloc, &allocInfo); + +... + +const float* downloadedData = (const float*)allocInfo.pMappedData; +\endcode + + +\section usage_patterns_advanced_data_uploading Advanced data uploading + +For resources that you frequently write on CPU via mapped pointer and +frequently read on GPU e.g. as a uniform buffer (also called "dynamic"), multiple options are possible: + +-# Easiest solution is to have one copy of the resource in `HOST_VISIBLE` memory, + even if it means system RAM (not `DEVICE_LOCAL`) on systems with a discrete graphics card, + and make the device reach out to that resource directly. + - Reads performed by the device will then go through PCI Express bus. + The performance of this access may be limited, but it may be fine depending on the size + of this resource (whether it is small enough to quickly end up in GPU cache) and the sparsity + of access. +-# On systems with unified memory (e.g. AMD APU or Intel integrated graphics, mobile chips), + a memory type may be available that is both `HOST_VISIBLE` (available for mapping) and `DEVICE_LOCAL` + (fast to access from the GPU). Then, it is likely the best choice for such type of resource. +-# Systems with a discrete graphics card and separate video memory may or may not expose + a memory type that is both `HOST_VISIBLE` and `DEVICE_LOCAL`, also known as Base Address Register (BAR). + If they do, it represents a piece of VRAM (or entire VRAM, if ReBAR is enabled in the motherboard BIOS) + that is available to CPU for mapping. + - Writes performed by the host to that memory go through PCI Express bus. + The performance of these writes may be limited, but it may be fine, especially on PCIe 4.0, + as long as rules of using uncached and write-combined memory are followed - only sequential writes and no reads. +-# Finally, you may need or prefer to create a separate copy of the resource in `DEVICE_LOCAL` memory, + a separate "staging" copy in `HOST_VISIBLE` memory and perform an explicit transfer command between them. + +Thankfully, VMA offers an aid to create and use such resources in the the way optimal +for the current Vulkan device. To help the library make the best choice, +use flag #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT together with +#VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT. +It will then prefer a memory type that is both `DEVICE_LOCAL` and `HOST_VISIBLE` (integrated memory or BAR), +but if no such memory type is available or allocation from it fails +(PC graphics cards have only 256 MB of BAR by default, unless ReBAR is supported and enabled in BIOS), +it will fall back to `DEVICE_LOCAL` memory for fast GPU access. +It is then up to you to detect that the allocation ended up in a memory type that is not `HOST_VISIBLE`, +so you need to create another "staging" allocation and perform explicit transfers. + +\code +VkBufferCreateInfo bufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; +bufCreateInfo.size = 65536; +bufCreateInfo.usage = VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; + +VmaAllocationCreateInfo allocCreateInfo = {}; +allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; +allocCreateInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | + VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT | + VMA_ALLOCATION_CREATE_MAPPED_BIT; + +VkBuffer buf; +VmaAllocation alloc; +VmaAllocationInfo allocInfo; +vmaCreateBuffer(allocator, &bufCreateInfo, &allocCreateInfo, &buf, &alloc, &allocInfo); + +VkMemoryPropertyFlags memPropFlags; +vmaGetAllocationMemoryProperties(allocator, alloc, &memPropFlags); + +if(memPropFlags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) +{ + // Allocation ended up in a mappable memory and is already mapped - write to it directly. + + // [Executed in runtime]: + memcpy(allocInfo.pMappedData, myData, myDataSize); +} +else +{ + // Allocation ended up in a non-mappable memory - need to transfer. + VkBufferCreateInfo stagingBufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; + stagingBufCreateInfo.size = 65536; + stagingBufCreateInfo.usage = VK_BUFFER_USAGE_TRANSFER_SRC_BIT; + + VmaAllocationCreateInfo stagingAllocCreateInfo = {}; + stagingAllocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; + stagingAllocCreateInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | + VMA_ALLOCATION_CREATE_MAPPED_BIT; + + VkBuffer stagingBuf; + VmaAllocation stagingAlloc; + VmaAllocationInfo stagingAllocInfo; + vmaCreateBuffer(allocator, &stagingBufCreateInfo, &stagingAllocCreateInfo, + &stagingBuf, &stagingAlloc, stagingAllocInfo); + + // [Executed in runtime]: + memcpy(stagingAllocInfo.pMappedData, myData, myDataSize); + vmaFlushAllocation(allocator, stagingAlloc, 0, VK_WHOLE_SIZE); + //vkCmdPipelineBarrier: VK_ACCESS_HOST_WRITE_BIT --> VK_ACCESS_TRANSFER_READ_BIT + VkBufferCopy bufCopy = { + 0, // srcOffset + 0, // dstOffset, + myDataSize); // size + vkCmdCopyBuffer(cmdBuf, stagingBuf, buf, 1, &bufCopy); +} +\endcode + +\section usage_patterns_other_use_cases Other use cases + +Here are some other, less obvious use cases and their recommended settings: + +- An image that is used only as transfer source and destination, but it should stay on the device, + as it is used to temporarily store a copy of some texture, e.g. from the current to the next frame, + for temporal antialiasing or other temporal effects. + - Use `VkImageCreateInfo::usage = VK_IMAGE_USAGE_TRANSFER_SRC_BIT | VK_IMAGE_USAGE_TRANSFER_DST_BIT` + - Use VmaAllocationCreateInfo::usage = #VMA_MEMORY_USAGE_AUTO +- An image that is used only as transfer source and destination, but it should be placed + in the system RAM despite it doesn't need to be mapped, because it serves as a "swap" copy to evict + least recently used textures from VRAM. + - Use `VkImageCreateInfo::usage = VK_IMAGE_USAGE_TRANSFER_SRC_BIT | VK_IMAGE_USAGE_TRANSFER_DST_BIT` + - Use VmaAllocationCreateInfo::usage = #VMA_MEMORY_USAGE_AUTO_PREFER_HOST, + as VMA needs a hint here to differentiate from the previous case. +- A buffer that you want to map and write from the CPU, directly read from the GPU + (e.g. as a uniform or vertex buffer), but you have a clear preference to place it in device or + host memory due to its large size. + - Use `VkBufferCreateInfo::usage = VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT` + - Use VmaAllocationCreateInfo::usage = #VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE or #VMA_MEMORY_USAGE_AUTO_PREFER_HOST + - Use VmaAllocationCreateInfo::flags = #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT + + +\page configuration Configuration + +Please check "CONFIGURATION SECTION" in the code to find macros that you can define +before each include of this file or change directly in this file to provide +your own implementation of basic facilities like assert, `min()` and `max()` functions, +mutex, atomic etc. +The library uses its own implementation of containers by default, but you can switch to using +STL containers instead. + +For example, define `VMA_ASSERT(expr)` before including the library to provide +custom implementation of the assertion, compatible with your project. +By default it is defined to standard C `assert(expr)` in `_DEBUG` configuration +and empty otherwise. + +\section config_Vulkan_functions Pointers to Vulkan functions + +There are multiple ways to import pointers to Vulkan functions in the library. +In the simplest case you don't need to do anything. +If the compilation or linking of your program or the initialization of the #VmaAllocator +doesn't work for you, you can try to reconfigure it. + +First, the allocator tries to fetch pointers to Vulkan functions linked statically, +like this: + +\code +m_VulkanFunctions.vkAllocateMemory = (PFN_vkAllocateMemory)vkAllocateMemory; +\endcode + +If you want to disable this feature, set configuration macro: `#define VMA_STATIC_VULKAN_FUNCTIONS 0`. + +Second, you can provide the pointers yourself by setting member VmaAllocatorCreateInfo::pVulkanFunctions. +You can fetch them e.g. using functions `vkGetInstanceProcAddr` and `vkGetDeviceProcAddr` or +by using a helper library like [volk](https://github.com/zeux/volk). + +Third, VMA tries to fetch remaining pointers that are still null by calling +`vkGetInstanceProcAddr` and `vkGetDeviceProcAddr` on its own. +You need to only fill in VmaVulkanFunctions::vkGetInstanceProcAddr and VmaVulkanFunctions::vkGetDeviceProcAddr. +Other pointers will be fetched automatically. +If you want to disable this feature, set configuration macro: `#define VMA_DYNAMIC_VULKAN_FUNCTIONS 0`. + +Finally, all the function pointers required by the library (considering selected +Vulkan version and enabled extensions) are checked with `VMA_ASSERT` if they are not null. + + +\section custom_memory_allocator Custom host memory allocator + +If you use custom allocator for CPU memory rather than default operator `new` +and `delete` from C++, you can make this library using your allocator as well +by filling optional member VmaAllocatorCreateInfo::pAllocationCallbacks. These +functions will be passed to Vulkan, as well as used by the library itself to +make any CPU-side allocations. + +\section allocation_callbacks Device memory allocation callbacks + +The library makes calls to `vkAllocateMemory()` and `vkFreeMemory()` internally. +You can setup callbacks to be informed about these calls, e.g. for the purpose +of gathering some statistics. To do it, fill optional member +VmaAllocatorCreateInfo::pDeviceMemoryCallbacks. + +\section heap_memory_limit Device heap memory limit + +When device memory of certain heap runs out of free space, new allocations may +fail (returning error code) or they may succeed, silently pushing some existing_ +memory blocks from GPU VRAM to system RAM (which degrades performance). This +behavior is implementation-dependent - it depends on GPU vendor and graphics +driver. + +On AMD cards it can be controlled while creating Vulkan device object by using +VK_AMD_memory_overallocation_behavior extension, if available. + +Alternatively, if you want to test how your program behaves with limited amount of Vulkan device +memory available without switching your graphics card to one that really has +smaller VRAM, you can use a feature of this library intended for this purpose. +To do it, fill optional member VmaAllocatorCreateInfo::pHeapSizeLimit. + + + +\page vk_khr_dedicated_allocation VK_KHR_dedicated_allocation + +VK_KHR_dedicated_allocation is a Vulkan extension which can be used to improve +performance on some GPUs. It augments Vulkan API with possibility to query +driver whether it prefers particular buffer or image to have its own, dedicated +allocation (separate `VkDeviceMemory` block) for better efficiency - to be able +to do some internal optimizations. The extension is supported by this library. +It will be used automatically when enabled. + +It has been promoted to core Vulkan 1.1, so if you use eligible Vulkan version +and inform VMA about it by setting VmaAllocatorCreateInfo::vulkanApiVersion, +you are all set. + +Otherwise, if you want to use it as an extension: + +1 . When creating Vulkan device, check if following 2 device extensions are +supported (call `vkEnumerateDeviceExtensionProperties()`). +If yes, enable them (fill `VkDeviceCreateInfo::ppEnabledExtensionNames`). + +- VK_KHR_get_memory_requirements2 +- VK_KHR_dedicated_allocation + +If you enabled these extensions: + +2 . Use #VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT flag when creating +your #VmaAllocator to inform the library that you enabled required extensions +and you want the library to use them. + +\code +allocatorInfo.flags |= VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT; + +vmaCreateAllocator(&allocatorInfo, &allocator); +\endcode + +That is all. The extension will be automatically used whenever you create a +buffer using vmaCreateBuffer() or image using vmaCreateImage(). + +When using the extension together with Vulkan Validation Layer, you will receive +warnings like this: + +_vkBindBufferMemory(): Binding memory to buffer 0x33 but vkGetBufferMemoryRequirements() has not been called on that buffer._ + +It is OK, you should just ignore it. It happens because you use function +`vkGetBufferMemoryRequirements2KHR()` instead of standard +`vkGetBufferMemoryRequirements()`, while the validation layer seems to be +unaware of it. + +To learn more about this extension, see: + +- [VK_KHR_dedicated_allocation in Vulkan specification](https://www.khronos.org/registry/vulkan/specs/1.2-extensions/html/chap50.html#VK_KHR_dedicated_allocation) +- [VK_KHR_dedicated_allocation unofficial manual](http://asawicki.info/articles/VK_KHR_dedicated_allocation.php5) + + + +\page vk_ext_memory_priority VK_EXT_memory_priority + +VK_EXT_memory_priority is a device extension that allows to pass additional "priority" +value to Vulkan memory allocations that the implementation may use prefer certain +buffers and images that are critical for performance to stay in device-local memory +in cases when the memory is over-subscribed, while some others may be moved to the system memory. + +VMA offers convenient usage of this extension. +If you enable it, you can pass "priority" parameter when creating allocations or custom pools +and the library automatically passes the value to Vulkan using this extension. + +If you want to use this extension in connection with VMA, follow these steps: + +\section vk_ext_memory_priority_initialization Initialization + +1) Call `vkEnumerateDeviceExtensionProperties` for the physical device. +Check if the extension is supported - if returned array of `VkExtensionProperties` contains "VK_EXT_memory_priority". + +2) Call `vkGetPhysicalDeviceFeatures2` for the physical device instead of old `vkGetPhysicalDeviceFeatures`. +Attach additional structure `VkPhysicalDeviceMemoryPriorityFeaturesEXT` to `VkPhysicalDeviceFeatures2::pNext` to be returned. +Check if the device feature is really supported - check if `VkPhysicalDeviceMemoryPriorityFeaturesEXT::memoryPriority` is true. + +3) While creating device with `vkCreateDevice`, enable this extension - add "VK_EXT_memory_priority" +to the list passed as `VkDeviceCreateInfo::ppEnabledExtensionNames`. + +4) While creating the device, also don't set `VkDeviceCreateInfo::pEnabledFeatures`. +Fill in `VkPhysicalDeviceFeatures2` structure instead and pass it as `VkDeviceCreateInfo::pNext`. +Enable this device feature - attach additional structure `VkPhysicalDeviceMemoryPriorityFeaturesEXT` to +`VkPhysicalDeviceFeatures2::pNext` chain and set its member `memoryPriority` to `VK_TRUE`. + +5) While creating #VmaAllocator with vmaCreateAllocator() inform VMA that you +have enabled this extension and feature - add #VMA_ALLOCATOR_CREATE_EXT_MEMORY_PRIORITY_BIT +to VmaAllocatorCreateInfo::flags. + +\section vk_ext_memory_priority_usage Usage + +When using this extension, you should initialize following member: + +- VmaAllocationCreateInfo::priority when creating a dedicated allocation with #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. +- VmaPoolCreateInfo::priority when creating a custom pool. + +It should be a floating-point value between `0.0f` and `1.0f`, where recommended default is `0.5f`. +Memory allocated with higher value can be treated by the Vulkan implementation as higher priority +and so it can have lower chances of being pushed out to system memory, experiencing degraded performance. + +It might be a good idea to create performance-critical resources like color-attachment or depth-stencil images +as dedicated and set high priority to them. For example: + +\code +VkImageCreateInfo imgCreateInfo = { VK_STRUCTURE_TYPE_IMAGE_CREATE_INFO }; +imgCreateInfo.imageType = VK_IMAGE_TYPE_2D; +imgCreateInfo.extent.width = 3840; +imgCreateInfo.extent.height = 2160; +imgCreateInfo.extent.depth = 1; +imgCreateInfo.mipLevels = 1; +imgCreateInfo.arrayLayers = 1; +imgCreateInfo.format = VK_FORMAT_R8G8B8A8_UNORM; +imgCreateInfo.tiling = VK_IMAGE_TILING_OPTIMAL; +imgCreateInfo.initialLayout = VK_IMAGE_LAYOUT_UNDEFINED; +imgCreateInfo.usage = VK_IMAGE_USAGE_SAMPLED_BIT | VK_IMAGE_USAGE_COLOR_ATTACHMENT_BIT; +imgCreateInfo.samples = VK_SAMPLE_COUNT_1_BIT; + +VmaAllocationCreateInfo allocCreateInfo = {}; +allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; +allocCreateInfo.flags = VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT; +allocCreateInfo.priority = 1.0f; + +VkImage img; +VmaAllocation alloc; +vmaCreateImage(allocator, &imgCreateInfo, &allocCreateInfo, &img, &alloc, nullptr); +\endcode + +`priority` member is ignored in the following situations: + +- Allocations created in custom pools: They inherit the priority, along with all other allocation parameters + from the parametrs passed in #VmaPoolCreateInfo when the pool was created. +- Allocations created in default pools: They inherit the priority from the parameters + VMA used when creating default pools, which means `priority == 0.5f`. + + +\page vk_amd_device_coherent_memory VK_AMD_device_coherent_memory + +VK_AMD_device_coherent_memory is a device extension that enables access to +additional memory types with `VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD` and +`VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD` flag. It is useful mostly for +allocation of buffers intended for writing "breadcrumb markers" in between passes +or draw calls, which in turn are useful for debugging GPU crash/hang/TDR cases. + +When the extension is available but has not been enabled, Vulkan physical device +still exposes those memory types, but their usage is forbidden. VMA automatically +takes care of that - it returns `VK_ERROR_FEATURE_NOT_PRESENT` when an attempt +to allocate memory of such type is made. + +If you want to use this extension in connection with VMA, follow these steps: + +\section vk_amd_device_coherent_memory_initialization Initialization + +1) Call `vkEnumerateDeviceExtensionProperties` for the physical device. +Check if the extension is supported - if returned array of `VkExtensionProperties` contains "VK_AMD_device_coherent_memory". + +2) Call `vkGetPhysicalDeviceFeatures2` for the physical device instead of old `vkGetPhysicalDeviceFeatures`. +Attach additional structure `VkPhysicalDeviceCoherentMemoryFeaturesAMD` to `VkPhysicalDeviceFeatures2::pNext` to be returned. +Check if the device feature is really supported - check if `VkPhysicalDeviceCoherentMemoryFeaturesAMD::deviceCoherentMemory` is true. + +3) While creating device with `vkCreateDevice`, enable this extension - add "VK_AMD_device_coherent_memory" +to the list passed as `VkDeviceCreateInfo::ppEnabledExtensionNames`. + +4) While creating the device, also don't set `VkDeviceCreateInfo::pEnabledFeatures`. +Fill in `VkPhysicalDeviceFeatures2` structure instead and pass it as `VkDeviceCreateInfo::pNext`. +Enable this device feature - attach additional structure `VkPhysicalDeviceCoherentMemoryFeaturesAMD` to +`VkPhysicalDeviceFeatures2::pNext` and set its member `deviceCoherentMemory` to `VK_TRUE`. + +5) While creating #VmaAllocator with vmaCreateAllocator() inform VMA that you +have enabled this extension and feature - add #VMA_ALLOCATOR_CREATE_AMD_DEVICE_COHERENT_MEMORY_BIT +to VmaAllocatorCreateInfo::flags. + +\section vk_amd_device_coherent_memory_usage Usage + +After following steps described above, you can create VMA allocations and custom pools +out of the special `DEVICE_COHERENT` and `DEVICE_UNCACHED` memory types on eligible +devices. There are multiple ways to do it, for example: + +- You can request or prefer to allocate out of such memory types by adding + `VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD` to VmaAllocationCreateInfo::requiredFlags + or VmaAllocationCreateInfo::preferredFlags. Those flags can be freely mixed with + other ways of \ref choosing_memory_type, like setting VmaAllocationCreateInfo::usage. +- If you manually found memory type index to use for this purpose, force allocation + from this specific index by setting VmaAllocationCreateInfo::memoryTypeBits `= 1u << index`. + +\section vk_amd_device_coherent_memory_more_information More information + +To learn more about this extension, see [VK_AMD_device_coherent_memory in Vulkan specification](https://www.khronos.org/registry/vulkan/specs/1.2-extensions/man/html/VK_AMD_device_coherent_memory.html) + +Example use of this extension can be found in the code of the sample and test suite +accompanying this library. + + +\page enabling_buffer_device_address Enabling buffer device address + +Device extension VK_KHR_buffer_device_address +allow to fetch raw GPU pointer to a buffer and pass it for usage in a shader code. +It has been promoted to core Vulkan 1.2. + +If you want to use this feature in connection with VMA, follow these steps: + +\section enabling_buffer_device_address_initialization Initialization + +1) (For Vulkan version < 1.2) Call `vkEnumerateDeviceExtensionProperties` for the physical device. +Check if the extension is supported - if returned array of `VkExtensionProperties` contains +"VK_KHR_buffer_device_address". + +2) Call `vkGetPhysicalDeviceFeatures2` for the physical device instead of old `vkGetPhysicalDeviceFeatures`. +Attach additional structure `VkPhysicalDeviceBufferDeviceAddressFeatures*` to `VkPhysicalDeviceFeatures2::pNext` to be returned. +Check if the device feature is really supported - check if `VkPhysicalDeviceBufferDeviceAddressFeatures::bufferDeviceAddress` is true. + +3) (For Vulkan version < 1.2) While creating device with `vkCreateDevice`, enable this extension - add +"VK_KHR_buffer_device_address" to the list passed as `VkDeviceCreateInfo::ppEnabledExtensionNames`. + +4) While creating the device, also don't set `VkDeviceCreateInfo::pEnabledFeatures`. +Fill in `VkPhysicalDeviceFeatures2` structure instead and pass it as `VkDeviceCreateInfo::pNext`. +Enable this device feature - attach additional structure `VkPhysicalDeviceBufferDeviceAddressFeatures*` to +`VkPhysicalDeviceFeatures2::pNext` and set its member `bufferDeviceAddress` to `VK_TRUE`. + +5) While creating #VmaAllocator with vmaCreateAllocator() inform VMA that you +have enabled this feature - add #VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT +to VmaAllocatorCreateInfo::flags. + +\section enabling_buffer_device_address_usage Usage + +After following steps described above, you can create buffers with `VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT*` using VMA. +The library automatically adds `VK_MEMORY_ALLOCATE_DEVICE_ADDRESS_BIT*` to +allocated memory blocks wherever it might be needed. + +Please note that the library supports only `VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT*`. +The second part of this functionality related to "capture and replay" is not supported, +as it is intended for usage in debugging tools like RenderDoc, not in everyday Vulkan usage. + +\section enabling_buffer_device_address_more_information More information + +To learn more about this extension, see [VK_KHR_buffer_device_address in Vulkan specification](https://www.khronos.org/registry/vulkan/specs/1.2-extensions/html/chap46.html#VK_KHR_buffer_device_address) + +Example use of this extension can be found in the code of the sample and test suite +accompanying this library. + +\page general_considerations General considerations + +\section general_considerations_thread_safety Thread safety + +- The library has no global state, so separate #VmaAllocator objects can be used + independently. + There should be no need to create multiple such objects though - one per `VkDevice` is enough. +- By default, all calls to functions that take #VmaAllocator as first parameter + are safe to call from multiple threads simultaneously because they are + synchronized internally when needed. + This includes allocation and deallocation from default memory pool, as well as custom #VmaPool. +- When the allocator is created with #VMA_ALLOCATOR_CREATE_EXTERNALLY_SYNCHRONIZED_BIT + flag, calls to functions that take such #VmaAllocator object must be + synchronized externally. +- Access to a #VmaAllocation object must be externally synchronized. For example, + you must not call vmaGetAllocationInfo() and vmaMapMemory() from different + threads at the same time if you pass the same #VmaAllocation object to these + functions. +- #VmaVirtualBlock is not safe to be used from multiple threads simultaneously. + +\section general_considerations_versioning_and_compatibility Versioning and compatibility + +The library uses [**Semantic Versioning**](https://semver.org/), +which means version numbers follow convention: Major.Minor.Patch (e.g. 2.3.0), where: + +- Incremented Patch version means a release is backward- and forward-compatible, + introducing only some internal improvements, bug fixes, optimizations etc. + or changes that are out of scope of the official API described in this documentation. +- Incremented Minor version means a release is backward-compatible, + so existing code that uses the library should continue to work, while some new + symbols could have been added: new structures, functions, new values in existing + enums and bit flags, new structure members, but not new function parameters. +- Incrementing Major version means a release could break some backward compatibility. + +All changes between official releases are documented in file "CHANGELOG.md". + +\warning Backward compatibility is considered on the level of C++ source code, not binary linkage. +Adding new members to existing structures is treated as backward compatible if initializing +the new members to binary zero results in the old behavior. +You should always fully initialize all library structures to zeros and not rely on their +exact binary size. + +\section general_considerations_validation_layer_warnings Validation layer warnings + +When using this library, you can meet following types of warnings issued by +Vulkan validation layer. They don't necessarily indicate a bug, so you may need +to just ignore them. + +- *vkBindBufferMemory(): Binding memory to buffer 0xeb8e4 but vkGetBufferMemoryRequirements() has not been called on that buffer.* + - It happens when VK_KHR_dedicated_allocation extension is enabled. + `vkGetBufferMemoryRequirements2KHR` function is used instead, while validation layer seems to be unaware of it. +- *Mapping an image with layout VK_IMAGE_LAYOUT_DEPTH_STENCIL_ATTACHMENT_OPTIMAL can result in undefined behavior if this memory is used by the device. Only GENERAL or PREINITIALIZED should be used.* + - It happens when you map a buffer or image, because the library maps entire + `VkDeviceMemory` block, where different types of images and buffers may end + up together, especially on GPUs with unified memory like Intel. +- *Non-linear image 0xebc91 is aliased with linear buffer 0xeb8e4 which may indicate a bug.* + - It may happen when you use [defragmentation](@ref defragmentation). + +\section general_considerations_allocation_algorithm Allocation algorithm + +The library uses following algorithm for allocation, in order: + +-# Try to find free range of memory in existing blocks. +-# If failed, try to create a new block of `VkDeviceMemory`, with preferred block size. +-# If failed, try to create such block with size / 2, size / 4, size / 8. +-# If failed, try to allocate separate `VkDeviceMemory` for this allocation, + just like when you use #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. +-# If failed, choose other memory type that meets the requirements specified in + VmaAllocationCreateInfo and go to point 1. +-# If failed, return `VK_ERROR_OUT_OF_DEVICE_MEMORY`. + +\section general_considerations_features_not_supported Features not supported + +Features deliberately excluded from the scope of this library: + +-# **Data transfer.** Uploading (streaming) and downloading data of buffers and images + between CPU and GPU memory and related synchronization is responsibility of the user. + Defining some "texture" object that would automatically stream its data from a + staging copy in CPU memory to GPU memory would rather be a feature of another, + higher-level library implemented on top of VMA. + VMA doesn't record any commands to a `VkCommandBuffer`. It just allocates memory. +-# **Recreation of buffers and images.** Although the library has functions for + buffer and image creation: vmaCreateBuffer(), vmaCreateImage(), you need to + recreate these objects yourself after defragmentation. That is because the big + structures `VkBufferCreateInfo`, `VkImageCreateInfo` are not stored in + #VmaAllocation object. +-# **Handling CPU memory allocation failures.** When dynamically creating small C++ + objects in CPU memory (not Vulkan memory), allocation failures are not checked + and handled gracefully, because that would complicate code significantly and + is usually not needed in desktop PC applications anyway. + Success of an allocation is just checked with an assert. +-# **Code free of any compiler warnings.** Maintaining the library to compile and + work correctly on so many different platforms is hard enough. Being free of + any warnings, on any version of any compiler, is simply not feasible. + There are many preprocessor macros that make some variables unused, function parameters unreferenced, + or conditional expressions constant in some configurations. + The code of this library should not be bigger or more complicated just to silence these warnings. + It is recommended to disable such warnings instead. +-# This is a C++ library with C interface. **Bindings or ports to any other programming languages** are welcome as external projects but + are not going to be included into this repository. +*/ From 36cd5d85e9d6e72cb44ce241a80491dcad004a0d Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 30 Jun 2023 21:20:19 +0200 Subject: [PATCH 023/142] Avoid requesting dedicated memory, VMA can decide that by itself --- Makefile | 1 + ggml-vulkan.cpp | 36 ++++++++++++++++++------------------ 2 files changed, 19 insertions(+), 18 deletions(-) diff --git a/Makefile b/Makefile index 539504be8b89d..49ab641623149 100644 --- a/Makefile +++ b/Makefile @@ -223,6 +223,7 @@ ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h glslc -fshader-stage=compute --target-env=vulkan1.2 -O vk_shaders/matmul_f32.glsl -o vk_shaders/matmul_f32.spv glslc -fshader-stage=compute --target-env=vulkan1.2 -O vk_shaders/matmul_f16.glsl -o vk_shaders/matmul_f16.spv glslc -fshader-stage=compute --target-env=vulkan1.2 -O vk_shaders/f16_to_f32.glsl -o vk_shaders/f16_to_f32.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 -O vk_shaders/dequant_q4_0.glsl -o vk_shaders/dequant_q4_0.spv endif ifneq ($(filter aarch64%,$(UNAME_M)),) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 15c5464982c1f..510d8fef24232 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -751,10 +751,10 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr if (src0->backend == GGML_BACKEND_GPU) { d_X = *(vk_buffer*) src0->data; } else { - ggml_vk_pool_malloc(ggml_type_size(src0->type) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(ggml_type_size(src0->type) * x_ne, &d_X, 0); } - ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, 0); + ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, 0); vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); @@ -833,10 +833,10 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr if (src0->backend == GGML_BACKEND_GPU) { d_X = *(vk_buffer*) src0->data; } else { - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, 0); } - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, 0); + ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, 0); bool src1_cont_rows = nb10 == sizeof(float); bool src1_cont_cols = (size_t)nb11 == ne11*sizeof(float); @@ -931,13 +931,13 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * vk_buffer d_Y; vk_buffer d_D; if (!mul_mat_vec) { - ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, 0); } - ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, 0); + ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, 0); vk_buffer d_Q; if (src0->backend == GGML_BACKEND_CPU) { - ggml_vk_pool_malloc(q_sz, &d_Q, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(q_sz, &d_Q, 0); } vk_pipeline* to_fp32_vk = ggml_get_to_fp32_vk(type); @@ -1091,9 +1091,9 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, 0); + ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, 0); + ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, 0); float* x = (float *) malloc(sizeof(float) * x_ne); float* y = (float *) malloc(sizeof(float) * y_ne); @@ -1167,9 +1167,9 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, 0); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, 0); + ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, 0); ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * x_ne); ggml_fp16_t* y = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * y_ne); @@ -1241,8 +1241,8 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { void ggml_vk_test_f16_to_f32(size_t m) { vk_buffer d_X; vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * m, &d_X, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); - ggml_vk_pool_malloc(sizeof(float) * m, &d_D, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * m, &d_X, 0); + ggml_vk_pool_malloc(sizeof(float) * m, &d_D, 0); ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * m); float* d = (float *) malloc(sizeof(float) * m); From 24eeb97d134fa5e372050d34e2d6346792b83d59 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 2 Jul 2023 22:11:58 +0200 Subject: [PATCH 024/142] Add bounds checking to matmul kernels, improve implementation, fix command buffers not freed properly --- ggml-vulkan.cpp | 625 +++++++++++++++++++++---------------- vk_shaders/matmul_f16.glsl | 16 +- vk_shaders/matmul_f32.glsl | 16 +- 3 files changed, 390 insertions(+), 267 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 510d8fef24232..f2749087e0351 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -37,6 +37,7 @@ inline static void* ggml_aligned_malloc(size_t size, size_t alignment) { #include #include #include +#include #include "ggml.h" @@ -44,6 +45,8 @@ inline static void* ggml_aligned_malloc(size_t size, size_t alignment) { #define CEIL_DIV(M, N) (((M) + (N)-1) / (N)) +#define VK_TRANSFER_QUEUE_COUNT 2 + struct vk_buffer { vk::Buffer buffer; VmaAllocation allocation; @@ -56,6 +59,8 @@ struct vk_buffer { struct vk_pipeline { vk::DescriptorSetLayout dsl; + vk::DescriptorPool descriptor_pool; + vk::DescriptorSet descriptor_set; vk::PipelineLayout layout; vk::Pipeline pipeline; uint32_t push_constant_size; @@ -63,12 +68,31 @@ struct vk_pipeline { std::array wg_denoms; }; +struct vk_queue { + vk_queue() {}; + vk_queue(const vk_queue& b) : queue_family_index(b.queue_family_index), queue(b.queue), pool(b.pool) {} + + vk_queue& operator=(const vk_queue& b) { + if (this != &b) { + queue_family_index = b.queue_family_index; + queue = b.queue; + pool = b.pool; + } + return *this; + } + + uint32_t queue_family_index; + vk::Queue queue; + vk::CommandPool pool; + std::vector cmd_buffers; + std::mutex mutex; +}; + vk::Instance vk_instance; -uint32_t vk_compute_queue_family_index; -uint32_t vk_transfer_queue_family_index; vk::PhysicalDevice vk_physical_device; vk::Device vk_device; -vk::CommandPool vk_command_pool_compute, vk_command_pool_transfer; +vk_queue vk_compute_queue; +vk_queue vk_transfer_queues[VK_TRANSFER_QUEUE_COUNT]; VmaAllocator vk_allocator; vk_pipeline vk_pipeline_matmul_f32, vk_pipeline_matmul_f16; vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; @@ -79,21 +103,12 @@ bool vk_fp16_support = false; static std::vector> vk_buf_list; -static vk::CommandBuffer ggml_vk_cmd_buffer_create(vk::CommandPool& pool) { - vk::CommandBufferAllocateInfo command_buffer_alloc_info( - pool, - vk::CommandBufferLevel::ePrimary, - 1); - const std::vector cmd_buffers = vk_device.allocateCommandBuffers(command_buffer_alloc_info); - return cmd_buffers.front(); -} - static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_count, std::array wg_denoms) { - vk_pipeline pipeline; - GGML_ASSERT(parameter_count > 0); GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); + vk_pipeline pipeline; + pipeline.parameter_count = parameter_count; pipeline.push_constant_size = push_constant_count * sizeof(int); pipeline.wg_denoms = wg_denoms; @@ -132,6 +147,14 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s dsl_binding); pipeline.dsl = vk_device.createDescriptorSetLayout(descriptor_set_layout_create_info); + vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline.parameter_count); + vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(VK_DESCRIPTOR_POOL_CREATE_FREE_DESCRIPTOR_SET_BIT), 1, descriptor_pool_size); + pipeline.descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); + + vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pipeline.descriptor_pool, 1, &pipeline.dsl); + const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); + pipeline.descriptor_set = descriptor_sets.front(); + vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), pipeline.dsl, pcr); pipeline.layout = vk_device.createPipelineLayout(pipeline_layout_create_info); vk::PipelineCache pipeline_cache = vk_device.createPipelineCache(vk::PipelineCacheCreateInfo()); @@ -150,28 +173,18 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s return pipeline; } -static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector buffers, std::vector push_constants, std::array elements, vk::Fence& fence) { - vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline.parameter_count); - vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(), 1, descriptor_pool_size); - vk::DescriptorPool descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); - - vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(descriptor_pool, 1, &pipeline.dsl); - const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); - vk::DescriptorSet descriptor_set = descriptor_sets.front(); - +static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector buffers, const std::vector&& push_constants, std::array elements, vk::CommandBuffer& cmd_buffer, vk::Fence& fence) { std::vector descriptor_buffer_infos; std::vector write_descriptor_sets; for (uint32_t i = 0; i < pipeline.parameter_count; i++) { descriptor_buffer_infos.push_back({buffers[i]->buffer, 0, buffers[i]->size}); } for (uint32_t i = 0; i < pipeline.parameter_count; i++) { - write_descriptor_sets.push_back({descriptor_set, i, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &descriptor_buffer_infos[i]}); + write_descriptor_sets.push_back({pipeline.descriptor_set, i, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &descriptor_buffer_infos[i]}); } vk_device.updateDescriptorSets(write_descriptor_sets, {}); - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_compute); - vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); cmd_buffer.pushConstants(pipeline.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); @@ -179,13 +192,13 @@ static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector guard(vk_compute_queue.mutex); vk::SubmitInfo submit_info(0, nullptr, @@ -193,15 +206,139 @@ static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector& indices, uint32_t num_indices, std::vector& queue_family_props, const vk::QueueFlags& required, const vk::QueueFlags& avoid, int32_t compute_index) { + const uint32_t qfsize = queue_family_props.size(); + + bool done; + + for (uint32_t idx = 0; idx < num_indices; idx++) { + done = false; + // Try with avoid preferences first + for (uint32_t i = 0; i < qfsize; i++) { + if ((compute_index < 0 || i != compute_index) && std::find(indices.begin(), indices.end(), i) == indices.end() && queue_family_props[i].queueFlags & required && !(queue_family_props[i].queueFlags & avoid)) { + indices.push_back(i); + done = true; + break; + } + } + + if (!done) { + // Fall back to only required + for (size_t i = 0; i < qfsize; i++) { + if ((compute_index < 0 || i != compute_index) && std::find(indices.begin(), indices.end(), i) == indices.end() && queue_family_props[i].queueFlags & required) { + indices.push_back(i); + done = true; + break; + } + } + } + + if (!done) { + // Fall back to reusing compute queue + for (size_t i = 0; i < qfsize; i++) { + if (std::find(indices.begin(), indices.end(), i) == indices.end() && queue_family_props[i].queueFlags & required) { + indices.push_back(i); + done = true; + break; + } + } + } + + if (!done) { + std::cerr << "ggml_vulkan: No suitable queue family index found." << std::endl; + for (uint32_t i = 0; i < qfsize; i++) { + std::cerr << i << ": " << "compute=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eCompute) << " transfer=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eTransfer) << " graphics=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eGraphics) << " protected=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eProtected) << " optical_flow_nv=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eOpticalFlowNV) << " sparse binding=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eSparseBinding) << " video decode=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eVideoDecodeKHR) << std::endl; + } + abort(); + } + } +} + +static vk_queue ggml_vk_create_queue(uint32_t queue_family_index) { + vk_queue q; + q.queue_family_index = queue_family_index; + + vk::CommandPoolCreateInfo command_pool_create_info_compute(vk::CommandPoolCreateFlags(VK_COMMAND_POOL_CREATE_RESET_COMMAND_BUFFER_BIT), queue_family_index); + q.pool = vk_device.createCommandPool(command_pool_create_info_compute); - queue.submit({ submit_info }, fence); + q.queue = vk_device.getQueue(queue_family_index, 0); + + return q; } +static vk::CommandBuffer ggml_vk_cmd_buffer_create(vk_queue& q) { + vk::CommandBufferAllocateInfo command_buffer_alloc_info( + q.pool, + vk::CommandBufferLevel::ePrimary, + 1); + const std::vector cmd_buffers = vk_device.allocateCommandBuffers(command_buffer_alloc_info); + auto buf = cmd_buffers.front(); + + q.cmd_buffers.push_back(buf); + + return buf; +} + +static void ggml_vk_queue_cleanup(vk_queue& q) { + q.queue.waitIdle(); + vk_device.freeCommandBuffers(q.pool, q.cmd_buffers); + q.cmd_buffers.clear(); +} + +static vk_buffer ggml_vk_create_buffer(size_t size, VmaAllocationCreateFlags alloc_flags, VmaMemoryUsage vma_usage, VkMemoryPropertyFlags req_flags = 0) { + vk_buffer buf; + + buf.size = size; + vk::BufferCreateInfo buffer_create_info{ + vk::BufferCreateFlags(), + size, + vk::BufferUsageFlagBits::eStorageBuffer | vk::BufferUsageFlagBits::eTransferSrc | vk::BufferUsageFlagBits::eTransferDst, + vk::SharingMode::eExclusive, + 1, + nullptr, + }; + + VmaAllocationCreateInfo allocation_info = {}; + allocation_info.requiredFlags = req_flags; + allocation_info.flags = alloc_flags; + allocation_info.usage = vma_usage; + + vmaCreateBuffer(vk_allocator, + (VkBufferCreateInfo*)&buffer_create_info, + &allocation_info, + (VkBuffer*)&buf.buffer, + &buf.allocation, + &buf.info); + + buf.sb_write = nullptr; + buf.sb_read = nullptr; + + return buf; +} + +static void ggml_vk_destroy_buffer(vk_buffer& buf) { + buf.size = 0; + vmaDestroyBuffer(vk_allocator, buf.buffer, buf.allocation); + + // Cleanup staging buffers + if (buf.sb_write != nullptr) { + vmaDestroyBuffer(vk_allocator, buf.sb_write->buffer, buf.sb_write->allocation); + delete buf.sb_write; + buf.sb_write = nullptr; + } + if (buf.sb_read != nullptr) { + vmaDestroyBuffer(vk_allocator, buf.sb_read->buffer, buf.sb_read->allocation); + delete buf.sb_read; + buf.sb_read = nullptr; + } +} + +void ggml_vk_test_transfer(size_t ne); void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k); void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k); -void ggml_vk_test_f16_to_f32(size_t m); void ggml_vk_init(void) { char* GGML_VULKAN_DEVICE = getenv("GGML_VULKAN_DEVICE"); @@ -235,44 +372,20 @@ void ggml_vk_init(void) { std::vector queue_family_props = vk_physical_device.getQueueFamilyProperties(); - const size_t qfsize = queue_family_props.size(); - - // Try to find a non-graphics compute queue and a transfer-focused queue - vk_compute_queue_family_index = qfsize; - vk_transfer_queue_family_index = qfsize; - for (size_t i = 0; i < qfsize; i++) { - // std::cout << i << ": " << "compute=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eCompute) << " transfer=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eTransfer) << " graphics=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eGraphics) << " protected=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eProtected) << " optical_flow_nv=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eOpticalFlowNV) << " sparse binding=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eSparseBinding) << " video decode=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eVideoDecodeKHR) << std::endl; - if (vk_compute_queue_family_index >= qfsize && !(queue_family_props[i].queueFlags & vk::QueueFlagBits::eGraphics) && queue_family_props[i].queueFlags & vk::QueueFlagBits::eCompute) { - vk_compute_queue_family_index = i; - } - if (vk_transfer_queue_family_index >= qfsize && !(queue_family_props[i].queueFlags & (vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics | vk::QueueFlagBits::eVideoDecodeKHR | vk::QueueFlagBits::eProtected | vk::QueueFlagBits::eOpticalFlowNV)) && queue_family_props[i].queueFlags & vk::QueueFlagBits::eTransfer) { - vk_transfer_queue_family_index = i; - } - } - - // Fall back to graphics and compute queue if not yet found - if (vk_compute_queue_family_index == qfsize) { - for (size_t i = 0; i < qfsize; i++) { - if (vk_compute_queue_family_index >= qfsize && queue_family_props[i].queueFlags & vk::QueueFlagBits::eCompute) { - vk_compute_queue_family_index = i; - } - } - } - - if (vk_compute_queue_family_index == qfsize) { - std::cerr << "ggml_vulkan: vk_compute_queue_family_index invalid" << std::endl; - abort(); - } - if (vk_transfer_queue_family_index == qfsize) { - std::cerr << "ggml_vulkan: vk_transfer_queue_family_index invalid" << std::endl; - abort(); - } + // Try to find a non-graphics compute queue and transfer-focused queues + std::vector compute_queue_family_index_vec; + ggml_vk_find_queue_family_index(compute_queue_family_index_vec, 1, queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1); + uint32_t compute_queue_family_index = compute_queue_family_index_vec[0]; + std::vector transfer_queue_family_index; + ggml_vk_find_queue_family_index(transfer_queue_family_index, VK_TRANSFER_QUEUE_COUNT, queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics | vk::QueueFlagBits::eVideoDecodeKHR | vk::QueueFlagBits::eProtected | vk::QueueFlagBits::eOpticalFlowNV, compute_queue_family_index); const float compute_queue_priority = 1.0f; const float transfer_queue_priority = 1.0f; - vk::DeviceQueueCreateInfo device_queue_create_infos[] = { - {vk::DeviceQueueCreateFlags(), vk_compute_queue_family_index, 1, &compute_queue_priority}, - {vk::DeviceQueueCreateFlags(), vk_transfer_queue_family_index, 1, &transfer_queue_priority}, + std::vector device_queue_create_infos; + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, &compute_queue_priority}); + + for (int i = 0; i < VK_TRANSFER_QUEUE_COUNT; i++) { + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index[i], 1, &transfer_queue_priority}); }; vk::DeviceCreateInfo device_create_info; std::vector device_extensions; @@ -334,26 +447,29 @@ void ggml_vk_init(void) { vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 1, {32, 1, 1}); vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 1, {32, 1, 1}); - // Command pools - vk::CommandPoolCreateInfo command_pool_create_info_compute(vk::CommandPoolCreateFlags(), vk_compute_queue_family_index); - vk_command_pool_compute = vk_device.createCommandPool(command_pool_create_info_compute); - - vk::CommandPoolCreateInfo command_pool_create_info_transfer(vk::CommandPoolCreateFlags(), vk_transfer_queue_family_index); - vk_command_pool_transfer = vk_device.createCommandPool(command_pool_create_info_transfer); + // Queues + vk_compute_queue = ggml_vk_create_queue(compute_queue_family_index); + for (int i = 0; i < VK_TRANSFER_QUEUE_COUNT; i++) { + vk_transfer_queues[i] = ggml_vk_create_queue(transfer_queue_family_index[i]); + } #if defined(VK_CHK_KERNEL) - const int step = 5; - for (size_t m = 1; m < 12; m += step) { - for (size_t n = 1; n < 12; n += step) { - for (size_t k = 1; k < 12; k += step) { - ggml_vk_test_matmul_f32(m * 128, n * 128, k * 128); - ggml_vk_test_matmul_f16(m * 128, n * 128, k * 128); - } - } + int step = 16; + for (size_t m = step; m < 64; m += step) { + ggml_vk_test_transfer(1024 * 1024 * m); } - - for (size_t m = 1; m < 12; m += step) { - ggml_vk_test_f16_to_f32(m * 128); + const std::vector vals { + 49, 49, 128, + 128, 49, 49, + 4096, 49, 4096, + 11008, 49, 4096, + 4096, 49, 11008, + 4096, 49, 4096, + 32000, 49, 4096, + }; + for (size_t i = 0; i < vals.size(); i += 3) { + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2]); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2]); } #endif } @@ -397,54 +513,6 @@ struct scoped_spin_lock { static vk_buffer g_vk_buffer_pool[MAX_VK_BUFFERS]; static std::atomic_flag g_vk_pool_lock = ATOMIC_FLAG_INIT; -static vk_buffer ggml_vk_create_buffer(size_t size, VmaAllocationCreateFlags alloc_flags, VmaMemoryUsage vma_usage, VkMemoryPropertyFlags req_flags = 0) { - vk_buffer buf; - - buf.size = size; - vk::BufferCreateInfo buffer_create_info{ - vk::BufferCreateFlags(), - size, - vk::BufferUsageFlagBits::eStorageBuffer | vk::BufferUsageFlagBits::eTransferSrc | vk::BufferUsageFlagBits::eTransferDst, - vk::SharingMode::eExclusive, - 1, - &vk_compute_queue_family_index - }; - - VmaAllocationCreateInfo allocation_info = {}; - allocation_info.requiredFlags = req_flags; - allocation_info.flags = alloc_flags; - allocation_info.usage = vma_usage; - - vmaCreateBuffer(vk_allocator, - (VkBufferCreateInfo*)&buffer_create_info, - &allocation_info, - (VkBuffer*)&buf.buffer, - &buf.allocation, - &buf.info); - - buf.sb_write = nullptr; - buf.sb_read = nullptr; - - return buf; -} - -static void ggml_vk_destroy_buffer(vk_buffer& buf) { - buf.size = 0; - vmaDestroyBuffer(vk_allocator, buf.buffer, buf.allocation); - - // Cleanup staging buffers - if (buf.sb_write != nullptr) { - vmaDestroyBuffer(vk_allocator, buf.sb_write->buffer, buf.sb_write->allocation); - free(buf.sb_write); - buf.sb_write = nullptr; - } - if (buf.sb_read != nullptr) { - vmaDestroyBuffer(vk_allocator, buf.sb_read->buffer, buf.sb_read->allocation); - free(buf.sb_read); - buf.sb_read = nullptr; - } -} - static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf, VmaAllocationCreateFlags alloc_flags) { scoped_spin_lock lock(g_vk_pool_lock); @@ -534,16 +602,15 @@ void ggml_vk_host_free(void* ptr) { ggml_vk_destroy_buffer(*buf); } -static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src, size_t size) { +static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q) { VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); // Buffer is already mapped if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { + GGML_ASSERT(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); + memcpy((uint8_t *)dst->info.pMappedData + offset, src, size); - if (!(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT)) { - vmaFlushAllocation(vk_allocator, dst->allocation, offset, size); - } } else { // Check if src is pinned memory vk_buffer* buf = nullptr; @@ -565,61 +632,63 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src offset, // dstOffset, size}; // size - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_transfer); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); vkCmdCopyBuffer(cmd_buffer, buf->buffer, dst->buffer, 1, &buf_copy); cmd_buffer.end(); - vk::Queue queue = vk_device.getQueue(vk_transfer_queue_family_index, 0); - vk::SubmitInfo submit_info(0, nullptr, nullptr, 1, &cmd_buffer); - queue.submit({ submit_info }, VK_NULL_HANDLE); + std::lock_guard guard(q.mutex); + q.queue.submit({ submit_info }, VK_NULL_HANDLE); + return; } // Staging buffer required, malloc because of async transfer if (dst->sb_write == nullptr) { - dst->sb_write = (vk_buffer *) malloc(sizeof(vk_buffer)); - *dst->sb_write = ggml_vk_create_buffer(dst->size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO, 0); + dst->sb_write = new vk_buffer; + *dst->sb_write = ggml_vk_create_buffer(dst->size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_HOST, 0); } - memcpy(((uint8_t *)dst->sb_write->info.pMappedData) + offset, src, size); - vmaFlushAllocation(vk_allocator, dst->sb_write->allocation, 0, VK_WHOLE_SIZE); + VkMemoryPropertyFlags mpf_staging; + vmaGetAllocationMemoryProperties(vk_allocator, dst->sb_write->allocation, &mpf_staging); + GGML_ASSERT(mpf_staging & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); + VkBufferCopy buf_copy = { 0, // srcOffset offset, // dstOffset, size}; // size - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_transfer); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); vkCmdCopyBuffer(cmd_buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); cmd_buffer.end(); - vk::Queue queue = vk_device.getQueue(vk_transfer_queue_family_index, 0); + memcpy(dst->sb_write->info.pMappedData, src, size); vk::SubmitInfo submit_info(0, nullptr, nullptr, 1, &cmd_buffer); - queue.submit({ submit_info }, VK_NULL_HANDLE); + std::lock_guard guard(q.mutex); + q.queue.submit({ submit_info }, VK_NULL_HANDLE); } } -static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size) { +static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q) { VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, src->allocation, &mem_prop_flags); if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { - if (!(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT)) { - vmaInvalidateAllocation(vk_allocator, src->allocation, offset, size); - } + GGML_ASSERT(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); + memcpy(dst, (uint8_t *) src->info.pMappedData + offset, size); } else { // Check if dst is pinned memory @@ -642,45 +711,42 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ buf_offset, // dstOffset, size}; // size - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_transfer); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); vkCmdCopyBuffer(cmd_buffer, src->buffer, buf->buffer, 1, &buf_copy); cmd_buffer.end(); - vk::Queue queue = vk_device.getQueue(vk_transfer_queue_family_index, 0); - vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); - vk::SubmitInfo submit_info(0, nullptr, nullptr, 1, &cmd_buffer); - queue.submit({ submit_info }, fence); - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read pinned waitForFences"); - - vk_device.destroyFence(fence); + std::lock_guard guard(q.mutex); + q.queue.submit({ submit_info }, VK_NULL_HANDLE); return; } if (src->sb_read == nullptr) { - src->sb_read = (vk_buffer *) malloc(sizeof(vk_buffer)); + src->sb_read = new vk_buffer; *src->sb_read = ggml_vk_create_buffer(src->size, VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO, 0); } + VkMemoryPropertyFlags mpf_staging; + vmaGetAllocationMemoryProperties(vk_allocator, src->sb_read->allocation, &mpf_staging); + GGML_ASSERT(mpf_staging & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); + VkBufferCopy buf_copy = { offset, // srcOffset 0, // dstOffset, size}; // size - vmaInvalidateAllocation(vk_allocator, src->sb_read->allocation, 0, VK_WHOLE_SIZE); - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_command_pool_transfer); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); vkCmdCopyBuffer(cmd_buffer, src->buffer, src->sb_read->buffer, 1, &buf_copy); cmd_buffer.end(); - vk::Queue queue = vk_device.getQueue(vk_transfer_queue_family_index, 0); vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo{}); vk::SubmitInfo submit_info(0, @@ -688,17 +754,15 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ nullptr, 1, &cmd_buffer); - queue.submit({ submit_info }, fence); + std::lock_guard guard(q.mutex); + q.queue.submit({ submit_info }, fence); vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read staging waitForFences"); - memcpy(dst, src->sb_read->info.pMappedData, size); - vk_device.destroyFence(fence); - ggml_vk_destroy_buffer(*src->sb_read); - src->sb_read = nullptr; + memcpy(dst, src->sb_read->info.pMappedData, size); } } -static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2) { +static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q) { const uint64_t ne0 = src->ne[0]; const uint64_t ne1 = src->ne[1]; const uint64_t nb0 = src->nb[0]; @@ -708,23 +772,26 @@ static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct gg const enum ggml_type type = src->type; const size_t ts = ggml_type_size(type); const size_t bs = ggml_blck_size(type); + const size_t row_length = ts*ne0/bs; const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); - if (nb0 == ts && nb1 == ts*ne0/bs) { - ggml_vk_buffer_write(dst, offset, x, ne1*nb1); + if (nb0 == ts && nb1 == row_length) { + ggml_vk_buffer_write(dst, offset, x, ne1*nb1, q); return; } if (nb0 == ts) { for (uint64_t i1 = 0; i1 < ne1; i1++) { - ggml_vk_buffer_write(dst, offset + ne0 * i1, (uint8_t *)x + ts*ne0/bs, ne0*nb0); + ggml_vk_buffer_write(dst, offset + i1 * row_length, (uint8_t *)x + i1 * nb1, row_length, q); } return; } + GGML_ASSERT(false); + // TODO: also needs handling of staging buffers uint8_t* dst_ptr = (uint8_t*) dst->info.pMappedData; uint8_t* xc = (uint8_t*)x; for (uint64_t i1 = 0; i1 < ne1; i1++) { for (uint64_t i0 = 0; i0 < ne0; i0++) { - dst_ptr[offset + i1 * ts*ne0/bs + i0 * ts] = xc[i1 * nb1 + i0 * nb0]; + dst_ptr[offset + i1 * row_length + i0 * ts] = xc[i1 * nb1 + i0 * nb0]; } } } @@ -756,15 +823,16 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, 0); ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, 0); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { // copy data to device if (src0->backend != GGML_BACKEND_GPU) { - ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02); + ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0]); } - ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02); + ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1]); // compute #ifdef VK_CHK_KERNEL @@ -772,9 +840,10 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr #endif // Wait for transfers to finish - vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); + vk_transfer_queues[0].queue.waitIdle(); + vk_transfer_queues[1].queue.waitIdle(); - ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, fence); + ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, cmd_buffer, fence); vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_f32 waitForFences"); @@ -784,16 +853,20 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr std::cout << "m=" << ne01 << " n=" << ne11 << " k=" << ne10 << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms" << std::endl; #endif - vk_device.resetFences({fence}); - // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0]); + + vk_device.resetFences({fence}); } } vk_device.destroyFence(fence); + ggml_vk_queue_cleanup(vk_compute_queue); + ggml_vk_queue_cleanup(vk_transfer_queues[0]); + ggml_vk_queue_cleanup(vk_transfer_queues[1]); + if (src0->backend != GGML_BACKEND_GPU) { ggml_vk_pool_free(d_X); } @@ -841,13 +914,14 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr bool src1_cont_rows = nb10 == sizeof(float); bool src1_cont_cols = (size_t)nb11 == ne11*sizeof(float); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { // copy data to device if (src1->backend != GGML_BACKEND_GPU) { - ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02); + ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0]); } // convert src1 to fp16 @@ -872,17 +946,18 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } } } - ggml_vk_buffer_write(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne); + ggml_vk_buffer_write(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1]); // Wait for transfers to finish - vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); + vk_transfer_queues[0].queue.waitIdle(); + vk_transfer_queues[1].queue.waitIdle(); // compute #ifdef VK_CHK_KERNEL auto begin = std::chrono::high_resolution_clock::now(); #endif - ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f16, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, fence); + ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f16, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, cmd_buffer, fence); vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_f16 waitForFences"); #ifdef VK_CHK_KERNEL @@ -891,16 +966,20 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr std::cout << "m=" << ne01 << " n=" << ne11 << " k=" << ne10 << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms" << std::endl; #endif - vk_device.resetFences({fence}); - // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0]); + + vk_device.resetFences({fence}); } } vk_device.destroyFence(fence); + ggml_vk_queue_cleanup(vk_compute_queue); + ggml_vk_queue_cleanup(vk_transfer_queues[0]); + ggml_vk_queue_cleanup(vk_transfer_queues[1]); + if (src0->backend != GGML_BACKEND_GPU) { ggml_vk_pool_free(d_X); } @@ -944,11 +1023,14 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // vk_pipeline* dmmv = ggml_get_dequantize_mul_mat_vec_vk(type); GGML_ASSERT(to_fp32_vk != nullptr); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); + vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); + for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { // copy src0 to device if necessary if (src0->backend == GGML_BACKEND_CPU) { - ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02); + ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0]); } else if (src0->backend == GGML_BACKEND_GPU) { d_Q = *(vk_buffer *) src0->data; } else { @@ -972,39 +1054,53 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // VK_CHECK(vkSetKernelArg(*dmmv, 4, sizeof(vk_int), &ncols)); // VK_CHECK(vkEnqueueNDRangeKernel(queue, *dmmv, 1, NULL, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++)); } else { // general dequantization kernel + VK matrix matrix multiplication + // copy src1 to device + ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1]); + // convert src0 to fp32 on device // Wait for transfers to finish - vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); + vk_transfer_queues[0].queue.waitIdle(); - vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); - - ggml_vk_dispatch_pipeline(*to_fp32_vk, {&d_Q, &d_X}, { (int)x_ne }, { (uint32_t)x_ne, 1, 1}, fence); - - // copy src1 to device - ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02); + vk_device.resetFences({ fence }); + ggml_vk_dispatch_pipeline(*to_fp32_vk, {&d_Q, &d_X}, { (int)x_ne }, { (uint32_t)x_ne, 1, 1}, cmd_buffer, fence); // wait for conversion vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_q_f32 src0 convert waitForFences"); - vk_device.resetFences({fence}); + vk_device.resetFences({ fence }); + cmd_buffer.reset(vk::CommandBufferResetFlags()); // Wait for transfers to finish - vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); + vk_transfer_queues[1].queue.waitIdle(); // compute - ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, fence); +#ifdef VK_CHK_KERNEL + auto begin = std::chrono::high_resolution_clock::now(); +#endif + + ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, cmd_buffer, fence); vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_q_f32 matmul waitForFences"); - vk_device.destroyFence(fence); +#ifdef VK_CHK_KERNEL + auto end = std::chrono::high_resolution_clock::now(); + + std::cout << "m=" << ne01 << " n=" << ne11 << " k=" << ne10 << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms" << std::endl; +#endif } // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0]); } } + vk_device.destroyFence(fence); + + ggml_vk_queue_cleanup(vk_compute_queue); + ggml_vk_queue_cleanup(vk_transfer_queues[0]); + ggml_vk_queue_cleanup(vk_transfer_queues[1]); + if (!mul_mat_vec) { ggml_vk_pool_free(d_X); } @@ -1026,7 +1122,7 @@ bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tens if ((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32 && - ((ne0 >= 128 && ne1 >= 32 && ne10 >= 128) || src0->backend == GGML_BACKEND_GPU)) { + ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_GPU)) { return true; } @@ -1083,6 +1179,49 @@ size_t ggml_vk_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct g } #ifdef VK_CHK_KERNEL +void ggml_vk_test_transfer(size_t ne) { + // Check transfers are correct + vk_buffer buffer = ggml_vk_create_buffer(sizeof(float) * ne, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE, 0); + + float* x = (float *) malloc(sizeof(float) * ne); + float* y = (float *) malloc(sizeof(float) * ne); + + for (size_t i = 0; i < ne; i++) { + x[i] = rand() / (float)RAND_MAX; + } + + auto begin = std::chrono::high_resolution_clock::now(); + + ggml_vk_buffer_write(&buffer, 0, x, sizeof(float) * ne, vk_transfer_queues[0]); + + vk_transfer_queues[0].queue.waitIdle(); + + auto end = std::chrono::high_resolution_clock::now(); + + double ms_to_gpu = std::chrono::duration_cast(end-begin).count() / 1000.0; + + begin = std::chrono::high_resolution_clock::now(); + + ggml_vk_buffer_read(&buffer, 0, y, sizeof(float) * ne, vk_transfer_queues[1]); + + end = std::chrono::high_resolution_clock::now(); + + double ms_from_gpu = std::chrono::duration_cast(end-begin).count() / 1000.0; + + double avg_err = 0.0; + for (size_t i = 0; i < ne; i++) { + avg_err += std::fabs(x[i] - y[i]); + } + + double kb = ne * sizeof(float) / 1024.0; + + std::cout << "TEST TRANSFER " << kb << " KB to_gpu " << ms_to_gpu << "ms (" << kb / ms_to_gpu * 1000.0 / 1024.0 << " MB/s) from_gpu " << ms_from_gpu << "ms (" << kb / ms_from_gpu * 1000.0 / 1024.0 << " MB/s) avg_err=" << avg_err / ne << std::endl; + + ggml_vk_destroy_buffer(buffer); + + free(x); + free(y); +} void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { const size_t x_ne = m * k; const size_t y_ne = k * n; @@ -1106,24 +1245,27 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { y[i] = rand() / (float)RAND_MAX; } - ggml_vk_buffer_write(&d_X, 0, x, sizeof(float) * x_ne); - ggml_vk_buffer_write(&d_Y, 0, y, sizeof(float) * y_ne); + ggml_vk_buffer_write(&d_X, 0, x, sizeof(float) * x_ne, vk_transfer_queues[0]); + ggml_vk_buffer_write(&d_Y, 0, y, sizeof(float) * y_ne, vk_transfer_queues[1]); // Wait for transfers to finish - vk_device.getQueue(vk_transfer_queue_family_index, 0).waitIdle(); + vk_transfer_queues[0].queue.waitIdle(); + vk_transfer_queues[1].queue.waitIdle(); vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); + auto begin = std::chrono::high_resolution_clock::now(); - ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }, { (uint32_t)m, (uint32_t)n, 1}, fence); + ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }, { (uint32_t)m, (uint32_t)n, 1}, cmd_buffer, fence); vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "test_matmul_f32 waitForFences"); auto end = std::chrono::high_resolution_clock::now(); // copy dst to host - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0]); float * d_chk = (float *) malloc(sizeof(float) * d_ne); @@ -1147,6 +1289,10 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { vk_device.destroyFence(fence); + ggml_vk_queue_cleanup(vk_compute_queue); + ggml_vk_queue_cleanup(vk_transfer_queues[0]); + ggml_vk_queue_cleanup(vk_transfer_queues[1]); + ggml_vk_pool_free(d_X); ggml_vk_pool_free(d_Y); ggml_vk_pool_free(d_D); @@ -1182,21 +1328,25 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { y[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); } - ggml_vk_buffer_write(&d_X, 0, x, sizeof(ggml_fp16_t) * x_ne); - ggml_vk_buffer_write(&d_Y, 0, y, sizeof(ggml_fp16_t) * y_ne); + ggml_vk_buffer_write(&d_X, 0, x, sizeof(ggml_fp16_t) * x_ne, vk_transfer_queues[0]); + ggml_vk_buffer_write(&d_Y, 0, y, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1]); + + vk_transfer_queues[0].queue.waitIdle(); + vk_transfer_queues[1].queue.waitIdle(); vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); auto begin = std::chrono::high_resolution_clock::now(); - ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f16, {&d_X, &d_Y, &d_D}, { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }, { (uint32_t)m, (uint32_t)n, 1}, fence); + ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f16, {&d_X, &d_Y, &d_D}, { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }, { (uint32_t)m, (uint32_t)n, 1}, cmd_buffer, fence); vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "test_matmul_f16 waitForFences"); auto end = std::chrono::high_resolution_clock::now(); // copy dst to host - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0]); float * fx = (float *) malloc(sizeof(float) * x_ne); float * fy = (float *) malloc(sizeof(float) * y_ne); @@ -1227,6 +1377,10 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { vk_device.destroyFence(fence); + ggml_vk_queue_cleanup(vk_compute_queue); + ggml_vk_queue_cleanup(vk_transfer_queues[0]); + ggml_vk_queue_cleanup(vk_transfer_queues[1]); + ggml_vk_pool_free(d_X); ggml_vk_pool_free(d_Y); @@ -1237,55 +1391,4 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { free(y); free(d); } - -void ggml_vk_test_f16_to_f32(size_t m) { - vk_buffer d_X; - vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * m, &d_X, 0); - ggml_vk_pool_malloc(sizeof(float) * m, &d_D, 0); - - ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * m); - float* d = (float *) malloc(sizeof(float) * m); - - for (size_t i = 0; i < m; i++) { - x[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); - } - - ggml_vk_buffer_write(&d_X, 0, x, sizeof(ggml_fp16_t) * m); - - vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); - - auto begin = std::chrono::high_resolution_clock::now(); - - ggml_vk_dispatch_pipeline(vk_pipeline_f16_to_f32, {&d_X, &d_D}, { (int)m }, { (uint32_t)m, 1, 1}, fence); - - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "test_f16_to_f32 waitForFences"); - - auto end = std::chrono::high_resolution_clock::now(); - - // copy dst to host - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * m); - - float * d_chk = (float *) malloc(sizeof(float) * m); - - ggml_fp16_to_fp32_row(x, d_chk, m); - - double avg_err = 0.0; - - for (size_t r = 0; r < m; r++) { - avg_err += std::fabs(ggml_fp16_to_fp32(d[r]) - d_chk[r]); - } - - std::cout << "TEST convert m=" << m << " f16_to_f32 " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms avg_err=" << avg_err / m << std::endl; - - free(d_chk); - - vk_device.destroyFence(fence); - - ggml_vk_pool_free(d_X); - ggml_vk_pool_free(d_D); - - free(x); - free(d); -} #endif diff --git a/vk_shaders/matmul_f16.glsl b/vk_shaders/matmul_f16.glsl index 8d6bfac0906ab..0abab48274193 100644 --- a/vk_shaders/matmul_f16.glsl +++ b/vk_shaders/matmul_f16.glsl @@ -57,12 +57,20 @@ void main() { [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { const int lr = l % BK; const int lc = l / BK; - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; + if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; + } else { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; + } } [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { const int lr = l % BK; const int lc = l / BK; - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; + if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; + } else { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; + } } barrier(); @@ -94,7 +102,9 @@ void main() { [[unroll]] for (int cc = 0; cc < TN; cc++) { [[unroll]] for (int cr = 0; cr < TM; cr++) { - data_d[(dc + cc) * p.stride_d + dr + cr*rstride] = sums[cc * TM + cr]; + if (dr + cr*rstride < p.M && dc + cc < p.N) { + data_d[(dc + cc) * p.stride_d + dr + cr*rstride] = sums[cc * TM + cr]; + } } } } diff --git a/vk_shaders/matmul_f32.glsl b/vk_shaders/matmul_f32.glsl index 8fc894c370f82..dfc572a6fb2db 100644 --- a/vk_shaders/matmul_f32.glsl +++ b/vk_shaders/matmul_f32.glsl @@ -56,12 +56,20 @@ void main() { [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { const int lr = l % BK; const int lc = l / BK; - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; + if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; + } else { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0f; + } } [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { const int lr = l % BK; const int lc = l / BK; - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; + if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; + } else { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0f; + } } barrier(); @@ -93,7 +101,9 @@ void main() { [[unroll]] for (int cc = 0; cc < TN; cc++) { [[unroll]] for (int cr = 0; cr < TM; cr++) { - data_d[(dc + cc) * p.stride_d + dr + cr*rstride] = sums[cc * TM + cr]; + if (dr + cr*rstride < p.M && dc + cc < p.N) { + data_d[(dc + cc) * p.stride_d + dr + cr*rstride] = sums[cc * TM + cr]; + } } } } From 3d7d8d00a4dc7d97d2ec703e4444f1732d914a10 Mon Sep 17 00:00:00 2001 From: Henri Vasserman Date: Tue, 4 Jul 2023 17:02:22 +0300 Subject: [PATCH 025/142] add cmake commands --- CMakeLists.txt | 31 +++++++++++++++++++++++++++++++ 1 file changed, 31 insertions(+) diff --git a/CMakeLists.txt b/CMakeLists.txt index ffda74a700bef..cfd24455450fa 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -313,6 +313,37 @@ if (LLAMA_CLBLAST) endif() endif() +if (LLAMA_VULKAN) + find_package(Vulkan COMPONENTS glslc) + if (Vulkan_FOUND) + message(STATUS "Vulkan found") + + add_library(ggml-vulkan STATIC ggml-vulkan.cpp ggml-vulkan.h) + target_link_libraries(ggml-vulkan PUBLIC Vulkan::Vulkan) + + set(GGML_VULKAN_SHADERS matmul_f32 matmul_f16 f16_to_f32 dequant_q4_0) + + foreach(s IN LISTS GGML_VULKAN_SHADERS) + add_custom_command( + OUTPUT "vk_shaders/${s}.spv" + COMMAND "${Vulkan_GLSLC_EXECUTABLE}" + -fshader-stage=compute + --target-env=vulkan1.2 + -O "${CMAKE_CURRENT_SOURCE_DIR}/vk_shaders/${s}.glsl" + -o "${CMAKE_CURRENT_BINARY_DIR}/vk_shaders/${s}.spv" + DEPENDS "vk_shaders/${s}.glsl" + ) + target_sources(ggml-vulkan PRIVATE "vk_shaders/${s}.spv") + endforeach() + + add_compile_definitions(GGML_USE_VULKAN) + + set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ggml-vulkan) + else() + message(WARNING "Vulkan not found") + endif() +endif() + if (LLAMA_ALL_WARNINGS) if (NOT MSVC) set(c_flags From ade9555c485311544136dc544d382f56acd64c8a Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 4 Jul 2023 22:31:47 +0200 Subject: [PATCH 026/142] Add 2d write operation, profiling code --- ggml-vulkan.cpp | 219 ++++++++++++++++++++++++++++++++++++------------ 1 file changed, 164 insertions(+), 55 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index f2749087e0351..dea2e7413f03e 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -4,6 +4,16 @@ #include #include #include + +#define PROFILE(name, block) do { \ + auto begin = std::chrono::high_resolution_clock::now(); \ + block \ + auto end = std::chrono::high_resolution_clock::now(); \ + double time_taken = std::chrono::duration_cast(end-begin).count() / 1000.0; \ + printf("%s: %lf ms\n", name, time_taken); \ +} while(0) +#else +#define PROFILE(name, block) block #endif #include @@ -174,6 +184,7 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s } static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector buffers, const std::vector&& push_constants, std::array elements, vk::CommandBuffer& cmd_buffer, vk::Fence& fence) { + PROFILE("ggml_vk_dispatch_pipeline", std::vector descriptor_buffer_infos; std::vector write_descriptor_sets; for (uint32_t i = 0; i < pipeline.parameter_count; i++) { @@ -207,64 +218,49 @@ static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector& indices, uint32_t num_indices, std::vector& queue_family_props, const vk::QueueFlags& required, const vk::QueueFlags& avoid, int32_t compute_index) { +static uint32_t ggml_vk_find_queue_family_index(std::vector& queue_family_props, const vk::QueueFlags& required, const vk::QueueFlags& avoid, int32_t compute_index) { const uint32_t qfsize = queue_family_props.size(); - bool done; - - for (uint32_t idx = 0; idx < num_indices; idx++) { - done = false; - // Try with avoid preferences first - for (uint32_t i = 0; i < qfsize; i++) { - if ((compute_index < 0 || i != compute_index) && std::find(indices.begin(), indices.end(), i) == indices.end() && queue_family_props[i].queueFlags & required && !(queue_family_props[i].queueFlags & avoid)) { - indices.push_back(i); - done = true; - break; - } + // Try with avoid preferences first + for (uint32_t i = 0; i < qfsize; i++) { + if ((compute_index < 0 || i != compute_index) && queue_family_props[i].queueFlags & required && !(queue_family_props[i].queueFlags & avoid)) { + return i; } + } - if (!done) { - // Fall back to only required - for (size_t i = 0; i < qfsize; i++) { - if ((compute_index < 0 || i != compute_index) && std::find(indices.begin(), indices.end(), i) == indices.end() && queue_family_props[i].queueFlags & required) { - indices.push_back(i); - done = true; - break; - } - } + // Fall back to only required + for (size_t i = 0; i < qfsize; i++) { + if ((compute_index < 0 || i != compute_index) && queue_family_props[i].queueFlags & required) { + return i; } + } - if (!done) { - // Fall back to reusing compute queue - for (size_t i = 0; i < qfsize; i++) { - if (std::find(indices.begin(), indices.end(), i) == indices.end() && queue_family_props[i].queueFlags & required) { - indices.push_back(i); - done = true; - break; - } - } + // Fall back to reusing compute queue + for (size_t i = 0; i < qfsize; i++) { + if (queue_family_props[i].queueFlags & required) { + return i; } + } - if (!done) { - std::cerr << "ggml_vulkan: No suitable queue family index found." << std::endl; - for (uint32_t i = 0; i < qfsize; i++) { - std::cerr << i << ": " << "compute=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eCompute) << " transfer=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eTransfer) << " graphics=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eGraphics) << " protected=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eProtected) << " optical_flow_nv=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eOpticalFlowNV) << " sparse binding=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eSparseBinding) << " video decode=" << bool(queue_family_props[i].queueFlags & vk::QueueFlagBits::eVideoDecodeKHR) << std::endl; - } - abort(); - } + std::cerr << "ggml_vulkan: No suitable queue family index found." << std::endl; + + for(auto &q_family : queue_family_props) { + std::cout << "Queue number: " + std::to_string(q_family.queueCount) << " flags: " + to_string(q_family.queueFlags) << std::endl; } + abort(); } -static vk_queue ggml_vk_create_queue(uint32_t queue_family_index) { +static vk_queue ggml_vk_create_queue(uint32_t queue_family_index, uint32_t queue_index) { vk_queue q; q.queue_family_index = queue_family_index; vk::CommandPoolCreateInfo command_pool_create_info_compute(vk::CommandPoolCreateFlags(VK_COMMAND_POOL_CREATE_RESET_COMMAND_BUFFER_BIT), queue_family_index); q.pool = vk_device.createCommandPool(command_pool_create_info_compute); - q.queue = vk_device.getQueue(queue_family_index, 0); + q.queue = vk_device.getQueue(queue_family_index, queue_index); return q; } @@ -306,12 +302,14 @@ static vk_buffer ggml_vk_create_buffer(size_t size, VmaAllocationCreateFlags all allocation_info.flags = alloc_flags; allocation_info.usage = vma_usage; + PROFILE("ggml_vk_create_buffer", vmaCreateBuffer(vk_allocator, (VkBufferCreateInfo*)&buffer_create_info, &allocation_info, (VkBuffer*)&buf.buffer, &buf.allocation, &buf.info); + ); buf.sb_write = nullptr; buf.sb_read = nullptr; @@ -321,6 +319,7 @@ static vk_buffer ggml_vk_create_buffer(size_t size, VmaAllocationCreateFlags all static void ggml_vk_destroy_buffer(vk_buffer& buf) { buf.size = 0; + PROFILE("ggml_vk_destroy_buffer", vmaDestroyBuffer(vk_allocator, buf.buffer, buf.allocation); // Cleanup staging buffers @@ -334,6 +333,7 @@ static void ggml_vk_destroy_buffer(vk_buffer& buf) { delete buf.sb_read; buf.sb_read = nullptr; } + ); } void ggml_vk_test_transfer(size_t ne); @@ -346,7 +346,7 @@ void ggml_vk_init(void) { vk::ApplicationInfo app_info{ "ggml-vulkan", 1, nullptr, 0, VK_API_VERSION }; const std::vector layers = { - "VK_LAYER_KHRONOS_validation", + // "VK_LAYER_KHRONOS_validation", }; vk::InstanceCreateInfo instance_create_info(vk::InstanceCreateFlags(), &app_info, layers.size(), layers.data()); vk_instance = vk::createInstance(instance_create_info); @@ -373,20 +373,14 @@ void ggml_vk_init(void) { std::vector queue_family_props = vk_physical_device.getQueueFamilyProperties(); // Try to find a non-graphics compute queue and transfer-focused queues - std::vector compute_queue_family_index_vec; - ggml_vk_find_queue_family_index(compute_queue_family_index_vec, 1, queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1); - uint32_t compute_queue_family_index = compute_queue_family_index_vec[0]; - std::vector transfer_queue_family_index; - ggml_vk_find_queue_family_index(transfer_queue_family_index, VK_TRANSFER_QUEUE_COUNT, queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics | vk::QueueFlagBits::eVideoDecodeKHR | vk::QueueFlagBits::eProtected | vk::QueueFlagBits::eOpticalFlowNV, compute_queue_family_index); + uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1); + uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics | vk::QueueFlagBits::eVideoDecodeKHR | vk::QueueFlagBits::eProtected | vk::QueueFlagBits::eOpticalFlowNV, compute_queue_family_index); const float compute_queue_priority = 1.0f; - const float transfer_queue_priority = 1.0f; + const float transfer_queue_priority[] = { 1.0f, 1.0f }; std::vector device_queue_create_infos; device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, &compute_queue_priority}); - - for (int i = 0; i < VK_TRANSFER_QUEUE_COUNT; i++) { - device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index[i], 1, &transfer_queue_priority}); - }; + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, VK_TRANSFER_QUEUE_COUNT, transfer_queue_priority}); vk::DeviceCreateInfo device_create_info; std::vector device_extensions; vk::PhysicalDeviceFeatures device_features = vk_physical_device.getFeatures(); @@ -448,9 +442,9 @@ void ggml_vk_init(void) { vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 1, {32, 1, 1}); // Queues - vk_compute_queue = ggml_vk_create_queue(compute_queue_family_index); + vk_compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0); for (int i = 0; i < VK_TRANSFER_QUEUE_COUNT; i++) { - vk_transfer_queues[i] = ggml_vk_create_queue(transfer_queue_family_index[i]); + vk_transfer_queues[i] = ggml_vk_create_queue(transfer_queue_family_index, i); } #if defined(VK_CHK_KERNEL) @@ -514,6 +508,7 @@ static vk_buffer g_vk_buffer_pool[MAX_VK_BUFFERS]; static std::atomic_flag g_vk_pool_lock = ATOMIC_FLAG_INIT; static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf, VmaAllocationCreateFlags alloc_flags) { + PROFILE("ggml_vk_pool_malloc", scoped_spin_lock lock(g_vk_pool_lock); int best_i = -1; @@ -545,9 +540,11 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf, VmaAllocationCreate } *buf = ggml_vk_create_buffer(size, alloc_flags, VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE, 0); + ); } static void ggml_vk_pool_free(vk_buffer& buffer) { + PROFILE("ggml_vk_pool_free", scoped_spin_lock lock(g_vk_pool_lock); for (int i = 0; i < MAX_VK_BUFFERS; ++i) { @@ -559,6 +556,7 @@ static void ggml_vk_pool_free(vk_buffer& buffer) { } fprintf(stderr, "WARNING: vk buffer pool full, increase MAX_VK_BUFFERS\n"); ggml_vk_destroy_buffer(buffer); + ); } void* ggml_vk_host_malloc(size_t size) { @@ -610,11 +608,14 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { GGML_ASSERT(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); + PROFILE("ggml_vk_buffer_write visible", memcpy((uint8_t *)dst->info.pMappedData + offset, src, size); + ); } else { // Check if src is pinned memory vk_buffer* buf = nullptr; size_t buf_offset = 0; + PROFILE("ggml_vk_buffer_write pinned check", for (size_t i = 0; i < vk_buf_list.size(); i++) { const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); @@ -624,6 +625,7 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src break; } } + ); if (buf != nullptr) { // Memory is pinned, use as staging buffer @@ -633,10 +635,12 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src size}; // size vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); + PROFILE("ggml_vk_buffer_write pinned write", vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); vkCmdCopyBuffer(cmd_buffer, buf->buffer, dst->buffer, 1, &buf_copy); cmd_buffer.end(); + ); vk::SubmitInfo submit_info(0, nullptr, @@ -664,6 +668,7 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src offset, // dstOffset, size}; // size + PROFILE("ggml_vk_buffer_write staging", vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); @@ -679,6 +684,101 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src &cmd_buffer); std::lock_guard guard(q.mutex); q.queue.submit({ submit_info }, VK_NULL_HANDLE); + ); + } +} + +static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q) { + VkMemoryPropertyFlags mem_prop_flags; + vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); + + // Buffer is already mapped + if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { + GGML_ASSERT(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); + + PROFILE("ggml_vk_buffer_write visible", + for (size_t i = 0; i < height; i++) { + memcpy((uint8_t *)dst->info.pMappedData + offset + i * width, (uint8_t *) src + i * spitch, width); + } + ); + } else { + // Check if src is pinned memory + vk_buffer* buf = nullptr; + size_t buf_offset = 0; + PROFILE("ggml_vk_buffer_write pinned check", + for (size_t i = 0; i < vk_buf_list.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); + const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); + if (src >= addr && src < endr) { + buf = &std::get<2>(vk_buf_list[i]); + buf_offset = ((const uint8_t *)src) - addr; + break; + } + } + ); + + if (buf != nullptr) { + // Memory is pinned, use as staging buffer + std::vector slices(height); + for (size_t i = 0; i < height; i++) { + slices[i].srcOffset = i * spitch; + slices[i].dstOffset = offset + i * width; + slices[i].size = width; + } + + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); + PROFILE("ggml_vk_buffer_write pinned write", + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); + cmd_buffer.begin(cmd_buffer_begin_info); + vkCmdCopyBuffer(cmd_buffer, buf->buffer, dst->buffer, height, slices.data()); + cmd_buffer.end(); + ); + + vk::SubmitInfo submit_info(0, + nullptr, + nullptr, + 1, + &cmd_buffer); + std::lock_guard guard(q.mutex); + q.queue.submit({ submit_info }, VK_NULL_HANDLE); + + return; + } + + // Staging buffer required, malloc because of async transfer + if (dst->sb_write == nullptr) { + dst->sb_write = new vk_buffer; + *dst->sb_write = ggml_vk_create_buffer(dst->size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_HOST, 0); + } + + VkMemoryPropertyFlags mpf_staging; + vmaGetAllocationMemoryProperties(vk_allocator, dst->sb_write->allocation, &mpf_staging); + GGML_ASSERT(mpf_staging & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); + + VkBufferCopy buf_copy = { + 0, + offset, + width * height}; + + PROFILE("ggml_vk_buffer_write staging", + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); + cmd_buffer.begin(cmd_buffer_begin_info); + vkCmdCopyBuffer(cmd_buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); + cmd_buffer.end(); + + for (size_t i = 0; i < height; i++) { + memcpy((uint8_t *)dst->info.pMappedData + offset + i * width, (uint8_t *) src + i * spitch, width); + } + + vk::SubmitInfo submit_info(0, + nullptr, + nullptr, + 1, + &cmd_buffer); + std::lock_guard guard(q.mutex); + q.queue.submit({ submit_info }, VK_NULL_HANDLE); + ); } } @@ -689,11 +789,14 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { GGML_ASSERT(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); + PROFILE("ggml_vk_buffer_read visible", memcpy(dst, (uint8_t *) src->info.pMappedData + offset, size); + ); } else { // Check if dst is pinned memory vk_buffer* buf = nullptr; size_t buf_offset = 0; + PROFILE("ggml_vk_buffer_write pinned check", for (size_t i = 0; i < vk_buf_list.size(); i++) { const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); @@ -703,6 +806,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ break; } } + ); if (buf != nullptr) { // Memory is pinned, use as staging buffer @@ -711,6 +815,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ buf_offset, // dstOffset, size}; // size + PROFILE("ggml_vk_buffer_write pinned read", vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); @@ -724,6 +829,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ &cmd_buffer); std::lock_guard guard(q.mutex); q.queue.submit({ submit_info }, VK_NULL_HANDLE); + ); return; } @@ -741,6 +847,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ 0, // dstOffset, size}; // size + PROFILE("ggml_vk_buffer_write staging", vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); @@ -759,6 +866,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read staging waitForFences"); vk_device.destroyFence(fence); memcpy(dst, src->sb_read->info.pMappedData, size); + ); } } @@ -780,9 +888,10 @@ static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct gg return; } if (nb0 == ts) { - for (uint64_t i1 = 0; i1 < ne1; i1++) { - ggml_vk_buffer_write(dst, offset + i1 * row_length, (uint8_t *)x + i1 * nb1, row_length, q); - } + // TODO: Get rid of this loop + PROFILE("ggml_vk_buffer_write_2d", + ggml_vk_buffer_write_2d(dst, offset, (uint8_t *)x, nb1, row_length, ne1, q); + ); return; } GGML_ASSERT(false); From ae7325fdff480b85a8545f3127b8eab383cf080a Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 4 Jul 2023 22:42:07 +0200 Subject: [PATCH 027/142] Fix 2d write --- ggml-vulkan.cpp | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index dea2e7413f03e..efbcf8290e983 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -721,7 +721,7 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * // Memory is pinned, use as staging buffer std::vector slices(height); for (size_t i = 0; i < height; i++) { - slices[i].srcOffset = i * spitch; + slices[i].srcOffset = buf_offset + i * spitch; slices[i].dstOffset = offset + i * width; slices[i].size = width; } @@ -888,9 +888,11 @@ static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct gg return; } if (nb0 == ts) { - // TODO: Get rid of this loop PROFILE("ggml_vk_buffer_write_2d", - ggml_vk_buffer_write_2d(dst, offset, (uint8_t *)x, nb1, row_length, ne1, q); + // for (uint64_t i1 = 0; i1 < ne1; i1++) { + // ggml_vk_buffer_write(dst, offset + i1 * row_length, (uint8_t *)x + i1 * nb1, row_length, q); + // } + ggml_vk_buffer_write_2d(dst, offset, x, nb1, row_length, ne1, q); ); return; } From e35d28fec37264e2d75a9c20c5ff71e42d3dbd7c Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 4 Jul 2023 22:57:08 +0200 Subject: [PATCH 028/142] Fix queue selection for AMD RADV --- ggml-vulkan.cpp | 22 +++++++++++++--------- 1 file changed, 13 insertions(+), 9 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index efbcf8290e983..ae67d2d3a5c5c 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -221,26 +221,26 @@ static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector& queue_family_props, const vk::QueueFlags& required, const vk::QueueFlags& avoid, int32_t compute_index) { +static uint32_t ggml_vk_find_queue_family_index(std::vector& queue_family_props, const vk::QueueFlags& required, const vk::QueueFlags& avoid, int32_t compute_index, int32_t min_num_queues) { const uint32_t qfsize = queue_family_props.size(); // Try with avoid preferences first for (uint32_t i = 0; i < qfsize; i++) { - if ((compute_index < 0 || i != compute_index) && queue_family_props[i].queueFlags & required && !(queue_family_props[i].queueFlags & avoid)) { + if (queue_family_props[i].queueCount >= min_num_queues && (compute_index < 0 || i != compute_index) && queue_family_props[i].queueFlags & required && !(queue_family_props[i].queueFlags & avoid)) { return i; } } // Fall back to only required for (size_t i = 0; i < qfsize; i++) { - if ((compute_index < 0 || i != compute_index) && queue_family_props[i].queueFlags & required) { + if (queue_family_props[i].queueCount >= min_num_queues && (compute_index < 0 || i != compute_index) && queue_family_props[i].queueFlags & required) { return i; } } // Fall back to reusing compute queue for (size_t i = 0; i < qfsize; i++) { - if (queue_family_props[i].queueFlags & required) { + if (queue_family_props[i].queueCount >= min_num_queues && queue_family_props[i].queueFlags & required) { return i; } } @@ -373,14 +373,18 @@ void ggml_vk_init(void) { std::vector queue_family_props = vk_physical_device.getQueueFamilyProperties(); // Try to find a non-graphics compute queue and transfer-focused queues - uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1); - uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics | vk::QueueFlagBits::eVideoDecodeKHR | vk::QueueFlagBits::eProtected | vk::QueueFlagBits::eOpticalFlowNV, compute_queue_family_index); + uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1, 1); + uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics | vk::QueueFlagBits::eVideoDecodeKHR | vk::QueueFlagBits::eProtected | vk::QueueFlagBits::eOpticalFlowNV, compute_queue_family_index, 2); const float compute_queue_priority = 1.0f; - const float transfer_queue_priority[] = { 1.0f, 1.0f }; + const float transfer_queue_priority[] = { 1.0f, 1.0f, 1.0f }; std::vector device_queue_create_infos; - device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, &compute_queue_priority}); - device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, VK_TRANSFER_QUEUE_COUNT, transfer_queue_priority}); + if (compute_queue_family_index != transfer_queue_family_index) { + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, &compute_queue_priority}); + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, VK_TRANSFER_QUEUE_COUNT, transfer_queue_priority}); + } else { + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, 1 + VK_TRANSFER_QUEUE_COUNT, transfer_queue_priority}); + } vk::DeviceCreateInfo device_create_info; std::vector device_extensions; vk::PhysicalDeviceFeatures device_features = vk_physical_device.getFeatures(); From 80b17e2f66b1f377a78a01c13a86a434e8577a7e Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 4 Jul 2023 23:01:32 +0200 Subject: [PATCH 029/142] Fix trailing whitespace in vk_mem_alloc.h --- external/vk_mem_alloc.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/external/vk_mem_alloc.h b/external/vk_mem_alloc.h index 823cef8ade3eb..14fa832081977 100644 --- a/external/vk_mem_alloc.h +++ b/external/vk_mem_alloc.h @@ -2355,7 +2355,7 @@ VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingBuffer( \param allocator \param allocation Allocation that provides memory to be used for binding new buffer to it. \param allocationLocalOffset Additional offset to be added while binding, relative to the beginning of the allocation. Normally it should be 0. -\param pBufferCreateInfo +\param pBufferCreateInfo \param[out] pBuffer Buffer that was created. This function automatically: From 244939029d04fa4861bbc0beef11b48cc7317220 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 5 Jul 2023 22:17:58 +0200 Subject: [PATCH 030/142] Add WIP warp tile mat mul shaders --- ggml-vulkan.cpp | 11 +-- vk_shaders/matmul_f16_warptile.glsl | 137 ++++++++++++++++++++++++++++ vk_shaders/matmul_f32_warptile.glsl | 136 +++++++++++++++++++++++++++ 3 files changed, 278 insertions(+), 6 deletions(-) create mode 100644 vk_shaders/matmul_f16_warptile.glsl create mode 100644 vk_shaders/matmul_f32_warptile.glsl diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index ae67d2d3a5c5c..3c772b32f9a41 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -4,7 +4,9 @@ #include #include #include +#endif +#ifdef VK_PROFILE #define PROFILE(name, block) do { \ auto begin = std::chrono::high_resolution_clock::now(); \ block \ @@ -893,9 +895,6 @@ static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct gg } if (nb0 == ts) { PROFILE("ggml_vk_buffer_write_2d", - // for (uint64_t i1 = 0; i1 < ne1; i1++) { - // ggml_vk_buffer_write(dst, offset + i1 * row_length, (uint8_t *)x + i1 * nb1, row_length, q); - // } ggml_vk_buffer_write_2d(dst, offset, x, nb1, row_length, ne1, q); ); return; @@ -1169,9 +1168,6 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // VK_CHECK(vkSetKernelArg(*dmmv, 4, sizeof(vk_int), &ncols)); // VK_CHECK(vkEnqueueNDRangeKernel(queue, *dmmv, 1, NULL, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++)); } else { // general dequantization kernel + VK matrix matrix multiplication - // copy src1 to device - ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1]); - // convert src0 to fp32 on device // Wait for transfers to finish vk_transfer_queues[0].queue.waitIdle(); @@ -1179,6 +1175,9 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * vk_device.resetFences({ fence }); ggml_vk_dispatch_pipeline(*to_fp32_vk, {&d_Q, &d_X}, { (int)x_ne }, { (uint32_t)x_ne, 1, 1}, cmd_buffer, fence); + // copy src1 to device + ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1]); + // wait for conversion vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_q_f32 src0 convert waitForFences"); diff --git a/vk_shaders/matmul_f16_warptile.glsl b/vk_shaders/matmul_f16_warptile.glsl new file mode 100644 index 0000000000000..8bf6c2b5a74c7 --- /dev/null +++ b/vk_shaders/matmul_f16_warptile.glsl @@ -0,0 +1,137 @@ +#version 450 + +#define BM 128 +#define BN 128 +#define BK 16 +#define WM 64 +#define WN 64 +#define WMITER 4 +#define TM 4 +#define TN 8 + +#define WARP 32 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require + +layout(local_size_x = 128, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { float16_t data_a[]; }; +layout (binding = 1) readonly buffer B { float16_t data_b[]; }; +layout (binding = 2) writeonly buffer D { float data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int K; + int stride_a; + int stride_b; + int stride_d; +} p; + +shared float16_t buf_a[BM * (BK+1)]; +shared float16_t buf_b[BN * (BK+1)]; + +void main() { + const int ir = int(gl_WorkGroupID.x); + const int ic = int(gl_WorkGroupID.y); + + const int warp_i = int(gl_LocalInvocationID.x / WARP); + const int warp_r = warp_i % (BM / WM); + const int warp_c = warp_i / (BM / WM); + + const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); + const int WSUBM = WM / WMITER; + const int WSUBN = WN / WNITER; + + const int tiw = int(gl_LocalInvocationID.x % WARP); + const int tiwr = tiw % (WSUBM / TM); + const int tiwc = tiw / (WSUBM / TM); + + const int loadr = int(gl_LocalInvocationID.x % BK); + const int loadc = int(gl_LocalInvocationID.x / BK); + + const int loadstride = int(gl_WorkGroupSize.x); + + int pos_a = ir * BM * p.stride_a; + int pos_b = ic * BN * p.stride_b; + + float sums[WMITER * TM * WNITER * TN]; + float16_t cache_a[WMITER * TM]; + float16_t cache_b[WNITER * TN]; + + [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { + sums[i] = 0.0hf; + } + + [[unroll]] for (int block = 0; block < p.K; block += BK) { + [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; + } else { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; + } + } + [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; + } else { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; + } + } + + barrier(); + + pos_a += BK; + pos_b += BK; + + [[unroll]] for (int i = 0; i < BK; i++) { + // Load from shared into cache + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int j = 0; j < TM; j++) { + cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; + } + } + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int j = 0; j < TN; j++) { + cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; + } + } + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); + } + } + } + } + } + + barrier(); + } + + const int dr = ir * BM + warp_r * WM; + const int dc = ic * BN + warp_c * WN; + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + + const int dr_warp = dr + wsir * WSUBM + tiwr * TM; + const int dc_warp = dc + wsic * WSUBN + tiwc * TN; + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + if (dr_warp + cr < p.M && dc_warp + cc < p.N) { + data_d[(dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + } + } + } + } + } +} diff --git a/vk_shaders/matmul_f32_warptile.glsl b/vk_shaders/matmul_f32_warptile.glsl new file mode 100644 index 0000000000000..19b02c0c48b0e --- /dev/null +++ b/vk_shaders/matmul_f32_warptile.glsl @@ -0,0 +1,136 @@ +#version 450 + +#define BM 128 +#define BN 128 +#define BK 16 +#define WM 64 +#define WN 64 +#define WMITER 4 +#define TM 4 +#define TN 8 + +#define WARP 32 + +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 128, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { float data_a[]; }; +layout (binding = 1) readonly buffer B { float data_b[]; }; +layout (binding = 2) writeonly buffer D { float data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int K; + int stride_a; + int stride_b; + int stride_d; +} p; + +shared float buf_a[BM * (BK+1)]; +shared float buf_b[BN * (BK+1)]; + +void main() { + const int ir = int(gl_WorkGroupID.x); + const int ic = int(gl_WorkGroupID.y); + + const int warp_i = int(gl_LocalInvocationID.x / WARP); + const int warp_r = warp_i % (BM / WM); + const int warp_c = warp_i / (BM / WM); + + const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); + const int WSUBM = WM / WMITER; + const int WSUBN = WN / WNITER; + + const int tiw = int(gl_LocalInvocationID.x % WARP); + const int tiwr = tiw % (WSUBM / TM); + const int tiwc = tiw / (WSUBM / TM); + + const int loadr = int(gl_LocalInvocationID.x % BK); + const int loadc = int(gl_LocalInvocationID.x / BK); + + const int loadstride = int(gl_WorkGroupSize.x); + + int pos_a = ir * BM * p.stride_a; + int pos_b = ic * BN * p.stride_b; + + float sums[WMITER * TM * WNITER * TN]; + float cache_a[WMITER * TM]; + float cache_b[WNITER * TN]; + + [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { + sums[i] = 0.0f; + } + + [[unroll]] for (int block = 0; block < p.K; block += BK) { + [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; + } else { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0f; + } + } + [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; + } else { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0f; + } + } + + barrier(); + + pos_a += BK; + pos_b += BK; + + [[unroll]] for (int i = 0; i < BK; i++) { + // Load from shared into cache + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int j = 0; j < TM; j++) { + cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; + } + } + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int j = 0; j < TN; j++) { + cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; + } + } + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += cache_a[wsir * TM + cr] * cache_b[wsic * TN + cc]; + } + } + } + } + } + + barrier(); + } + + const int dr = ir * BM + warp_r * WM; + const int dc = ic * BN + warp_c * WN; + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + + const int dr_warp = dr + wsir * WSUBM + tiwr * TM; + const int dc_warp = dc + wsic * WSUBN + tiwc * TN; + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + if (dr_warp + cr < p.M && dc_warp + cc < p.N) { + data_d[(dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + } + } + } + } + } +} From 869ae767640c26157ee2c398c261201cc5dfc057 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 5 Jul 2023 22:23:07 +0200 Subject: [PATCH 031/142] Disable glslc optimization --- Makefile | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/Makefile b/Makefile index 49ab641623149..a2aad1e89ec4d 100644 --- a/Makefile +++ b/Makefile @@ -220,10 +220,10 @@ ifdef LLAMA_VULKAN OBJS += ggml-vulkan.o ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h $(CXX) $(CXXFLAGS) -c $< -o $@ - glslc -fshader-stage=compute --target-env=vulkan1.2 -O vk_shaders/matmul_f32.glsl -o vk_shaders/matmul_f32.spv - glslc -fshader-stage=compute --target-env=vulkan1.2 -O vk_shaders/matmul_f16.glsl -o vk_shaders/matmul_f16.spv - glslc -fshader-stage=compute --target-env=vulkan1.2 -O vk_shaders/f16_to_f32.glsl -o vk_shaders/f16_to_f32.spv - glslc -fshader-stage=compute --target-env=vulkan1.2 -O vk_shaders/dequant_q4_0.glsl -o vk_shaders/dequant_q4_0.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f32.glsl -o vk_shaders/matmul_f32.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16.glsl -o vk_shaders/matmul_f16.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/f16_to_f32.glsl -o vk_shaders/f16_to_f32.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_q4_0.glsl -o vk_shaders/dequant_q4_0.spv endif ifneq ($(filter aarch64%,$(UNAME_M)),) From ea06a2c3210bac1f60934a521387b0aee27fcde4 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 7 Jul 2023 05:52:33 +0200 Subject: [PATCH 032/142] Disable glslc optimization for CMake --- CMakeLists.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index cfd24455450fa..aa8f33b40f325 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -329,7 +329,7 @@ if (LLAMA_VULKAN) COMMAND "${Vulkan_GLSLC_EXECUTABLE}" -fshader-stage=compute --target-env=vulkan1.2 - -O "${CMAKE_CURRENT_SOURCE_DIR}/vk_shaders/${s}.glsl" + "${CMAKE_CURRENT_SOURCE_DIR}/vk_shaders/${s}.glsl" -o "${CMAKE_CURRENT_BINARY_DIR}/vk_shaders/${s}.spv" DEPENDS "vk_shaders/${s}.glsl" ) From c3d947510b131ed1522cae0aab795892621dafa0 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 7 Jul 2023 07:13:47 +0200 Subject: [PATCH 033/142] Optimize warptile matmul shader, replace blocktile with it --- ggml-vulkan.cpp | 4 +- vk_shaders/matmul_f16.glsl | 79 ++++++++++------ vk_shaders/matmul_f16_warptile.glsl | 137 ---------------------------- vk_shaders/matmul_f32.glsl | 79 ++++++++++------ vk_shaders/matmul_f32_warptile.glsl | 136 --------------------------- 5 files changed, 108 insertions(+), 327 deletions(-) delete mode 100644 vk_shaders/matmul_f16_warptile.glsl delete mode 100644 vk_shaders/matmul_f32_warptile.glsl diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 3c772b32f9a41..05bd55f272e8b 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -439,9 +439,9 @@ void ggml_vk_init(void) { vmaCreateAllocator(&allocator_info, &vk_allocator); // Shaders - vk_pipeline_matmul_f32 = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 6, {128, 128, 1}); + vk_pipeline_matmul_f32 = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 6, {64, 64, 1}); if (vk_fp16_support) { - vk_pipeline_matmul_f16 = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 6, {128, 128, 1}); + vk_pipeline_matmul_f16 = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 6, {64, 64, 1}); } vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 1, {32, 1, 1}); diff --git a/vk_shaders/matmul_f16.glsl b/vk_shaders/matmul_f16.glsl index 0abab48274193..8fa3cda6c57b9 100644 --- a/vk_shaders/matmul_f16.glsl +++ b/vk_shaders/matmul_f16.glsl @@ -1,15 +1,20 @@ #version 450 -#define BM 128 -#define BN 128 -#define BK 8 -#define TM 8 -#define TN 8 +#define BM 64 +#define BN 64 +#define BK 16 +#define WM 32 +#define WN 32 +#define WMITER 2 +#define TM 4 +#define TN 2 + +#define WARP 32 #extension GL_EXT_control_flow_attributes : enable #extension GL_EXT_shader_explicit_arithmetic_types_float16 : require -layout(local_size_x = (BM * BN) / (TM * TN), local_size_y = 1, local_size_z = 1) in; +layout(local_size_x = 128, local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer A { float16_t data_a[]; }; layout (binding = 1) readonly buffer B { float16_t data_b[]; }; @@ -32,10 +37,17 @@ void main() { const int ir = int(gl_WorkGroupID.x); const int ic = int(gl_WorkGroupID.y); - const int rstride = BM / TM; + const int warp_i = int(gl_LocalInvocationID.x / WARP); + const int warp_r = warp_i % (BM / WM); + const int warp_c = warp_i / (BM / WM); + + const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); + const int WSUBM = WM / WMITER; + const int WSUBN = WN / WNITER; - const int lr = int(gl_LocalInvocationID.x % rstride); - const int lc = int(gl_LocalInvocationID.x / rstride); + const int tiw = int(gl_LocalInvocationID.x % WARP); + const int tiwr = tiw % (WSUBM / TM); + const int tiwc = tiw / (WSUBM / TM); const int loadr = int(gl_LocalInvocationID.x % BK); const int loadc = int(gl_LocalInvocationID.x / BK); @@ -45,11 +57,11 @@ void main() { int pos_a = ir * BM * p.stride_a; int pos_b = ic * BN * p.stride_b; - float sums[TM * TN]; - float16_t cache_a[TM]; - float16_t cache_b[TN]; + float sums[WMITER * TM * WNITER * TN]; + float16_t cache_a[WMITER * TM]; + float16_t cache_b[WNITER * TN]; - [[unroll]] for (int i = 0; i < TM*TN; i++) { + [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { sums[i] = 0.0hf; } @@ -80,16 +92,24 @@ void main() { [[unroll]] for (int i = 0; i < BK; i++) { // Load from shared into cache - [[unroll]] for (int j = 0; j < BM; j++) { - cache_a[j] = buf_a[(lr + j*rstride) * (BK+1) + i]; + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int j = 0; j < TM; j++) { + cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; + } } - [[unroll]] for (int j = 0; j < TN; j++) { - cache_b[j] = buf_b[(lc * TN + j) * (BK+1) + i]; + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int j = 0; j < TN; j++) { + cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; + } } - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[cc * TM + cr] += float(cache_a[cr]) * float(cache_b[cc]); + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); + } + } } } } @@ -97,13 +117,20 @@ void main() { barrier(); } - const int dr = ir * BM + lr; - const int dc = ic * BN + lc * TN; + const int dr = ir * BM + warp_r * WM; + const int dc = ic * BN + warp_c * WN; + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - if (dr + cr*rstride < p.M && dc + cc < p.N) { - data_d[(dc + cc) * p.stride_d + dr + cr*rstride] = sums[cc * TM + cr]; + const int dr_warp = dr + wsir * WSUBM + tiwr * TM; + const int dc_warp = dc + wsic * WSUBN + tiwc * TN; + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + if (dr_warp + cr < p.M && dc_warp + cc < p.N) { + data_d[(dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + } + } } } } diff --git a/vk_shaders/matmul_f16_warptile.glsl b/vk_shaders/matmul_f16_warptile.glsl deleted file mode 100644 index 8bf6c2b5a74c7..0000000000000 --- a/vk_shaders/matmul_f16_warptile.glsl +++ /dev/null @@ -1,137 +0,0 @@ -#version 450 - -#define BM 128 -#define BN 128 -#define BK 16 -#define WM 64 -#define WN 64 -#define WMITER 4 -#define TM 4 -#define TN 8 - -#define WARP 32 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require - -layout(local_size_x = 128, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { float16_t data_a[]; }; -layout (binding = 1) readonly buffer B { float16_t data_b[]; }; -layout (binding = 2) writeonly buffer D { float data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int K; - int stride_a; - int stride_b; - int stride_d; -} p; - -shared float16_t buf_a[BM * (BK+1)]; -shared float16_t buf_b[BN * (BK+1)]; - -void main() { - const int ir = int(gl_WorkGroupID.x); - const int ic = int(gl_WorkGroupID.y); - - const int warp_i = int(gl_LocalInvocationID.x / WARP); - const int warp_r = warp_i % (BM / WM); - const int warp_c = warp_i / (BM / WM); - - const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); - const int WSUBM = WM / WMITER; - const int WSUBN = WN / WNITER; - - const int tiw = int(gl_LocalInvocationID.x % WARP); - const int tiwr = tiw % (WSUBM / TM); - const int tiwc = tiw / (WSUBM / TM); - - const int loadr = int(gl_LocalInvocationID.x % BK); - const int loadc = int(gl_LocalInvocationID.x / BK); - - const int loadstride = int(gl_WorkGroupSize.x); - - int pos_a = ir * BM * p.stride_a; - int pos_b = ic * BN * p.stride_b; - - float sums[WMITER * TM * WNITER * TN]; - float16_t cache_a[WMITER * TM]; - float16_t cache_b[WNITER * TN]; - - [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = 0.0hf; - } - - [[unroll]] for (int block = 0; block < p.K; block += BK) { - [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; - } else { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; - } - } - [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; - } else { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; - } - } - - barrier(); - - pos_a += BK; - pos_b += BK; - - [[unroll]] for (int i = 0; i < BK; i++) { - // Load from shared into cache - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int j = 0; j < TM; j++) { - cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; - } - } - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int j = 0; j < TN; j++) { - cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; - } - } - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); - } - } - } - } - } - - barrier(); - } - - const int dr = ir * BM + warp_r * WM; - const int dc = ic * BN + warp_c * WN; - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - - const int dr_warp = dr + wsir * WSUBM + tiwr * TM; - const int dc_warp = dc + wsic * WSUBN + tiwc * TN; - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[(dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; - } - } - } - } - } -} diff --git a/vk_shaders/matmul_f32.glsl b/vk_shaders/matmul_f32.glsl index dfc572a6fb2db..a353345af7bb1 100644 --- a/vk_shaders/matmul_f32.glsl +++ b/vk_shaders/matmul_f32.glsl @@ -1,14 +1,19 @@ #version 450 -#define BM 128 -#define BN 128 -#define BK 8 -#define TM 8 -#define TN 8 +#define BM 64 +#define BN 64 +#define BK 16 +#define WM 32 +#define WN 32 +#define WMITER 2 +#define TM 4 +#define TN 2 + +#define WARP 32 #extension GL_EXT_control_flow_attributes : enable -layout(local_size_x = (BM * BN) / (TM * TN), local_size_y = 1, local_size_z = 1) in; +layout(local_size_x = 128, local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer A { float data_a[]; }; layout (binding = 1) readonly buffer B { float data_b[]; }; @@ -31,10 +36,17 @@ void main() { const int ir = int(gl_WorkGroupID.x); const int ic = int(gl_WorkGroupID.y); - const int rstride = BM / TM; + const int warp_i = int(gl_LocalInvocationID.x / WARP); + const int warp_r = warp_i % (BM / WM); + const int warp_c = warp_i / (BM / WM); + + const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); + const int WSUBM = WM / WMITER; + const int WSUBN = WN / WNITER; - const int lr = int(gl_LocalInvocationID.x % rstride); - const int lc = int(gl_LocalInvocationID.x / rstride); + const int tiw = int(gl_LocalInvocationID.x % WARP); + const int tiwr = tiw % (WSUBM / TM); + const int tiwc = tiw / (WSUBM / TM); const int loadr = int(gl_LocalInvocationID.x % BK); const int loadc = int(gl_LocalInvocationID.x / BK); @@ -44,11 +56,11 @@ void main() { int pos_a = ir * BM * p.stride_a; int pos_b = ic * BN * p.stride_b; - float sums[TM * TN]; - float cache_a[TM]; - float cache_b[TN]; + float sums[WMITER * TM * WNITER * TN]; + float cache_a[WMITER * TM]; + float cache_b[WNITER * TN]; - [[unroll]] for (int i = 0; i < TM*TN; i++) { + [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { sums[i] = 0.0f; } @@ -79,16 +91,24 @@ void main() { [[unroll]] for (int i = 0; i < BK; i++) { // Load from shared into cache - [[unroll]] for (int j = 0; j < BM; j++) { - cache_a[j] = buf_a[(lr + j*rstride) * (BK+1) + i]; + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int j = 0; j < TM; j++) { + cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; + } } - [[unroll]] for (int j = 0; j < TN; j++) { - cache_b[j] = buf_b[(lc * TN + j) * (BK+1) + i]; + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int j = 0; j < TN; j++) { + cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; + } } - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[cc * TM + cr] += cache_a[cr] * cache_b[cc]; + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += cache_a[wsir * TM + cr] * cache_b[wsic * TN + cc]; + } + } } } } @@ -96,13 +116,20 @@ void main() { barrier(); } - const int dr = ir * BM + lr; - const int dc = ic * BN + lc * TN; + const int dr = ir * BM + warp_r * WM; + const int dc = ic * BN + warp_c * WN; + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - if (dr + cr*rstride < p.M && dc + cc < p.N) { - data_d[(dc + cc) * p.stride_d + dr + cr*rstride] = sums[cc * TM + cr]; + const int dr_warp = dr + wsir * WSUBM + tiwr * TM; + const int dc_warp = dc + wsic * WSUBN + tiwc * TN; + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + if (dr_warp + cr < p.M && dc_warp + cc < p.N) { + data_d[(dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + } + } } } } diff --git a/vk_shaders/matmul_f32_warptile.glsl b/vk_shaders/matmul_f32_warptile.glsl deleted file mode 100644 index 19b02c0c48b0e..0000000000000 --- a/vk_shaders/matmul_f32_warptile.glsl +++ /dev/null @@ -1,136 +0,0 @@ -#version 450 - -#define BM 128 -#define BN 128 -#define BK 16 -#define WM 64 -#define WN 64 -#define WMITER 4 -#define TM 4 -#define TN 8 - -#define WARP 32 - -#extension GL_EXT_control_flow_attributes : enable - -layout(local_size_x = 128, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { float data_a[]; }; -layout (binding = 1) readonly buffer B { float data_b[]; }; -layout (binding = 2) writeonly buffer D { float data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int K; - int stride_a; - int stride_b; - int stride_d; -} p; - -shared float buf_a[BM * (BK+1)]; -shared float buf_b[BN * (BK+1)]; - -void main() { - const int ir = int(gl_WorkGroupID.x); - const int ic = int(gl_WorkGroupID.y); - - const int warp_i = int(gl_LocalInvocationID.x / WARP); - const int warp_r = warp_i % (BM / WM); - const int warp_c = warp_i / (BM / WM); - - const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); - const int WSUBM = WM / WMITER; - const int WSUBN = WN / WNITER; - - const int tiw = int(gl_LocalInvocationID.x % WARP); - const int tiwr = tiw % (WSUBM / TM); - const int tiwc = tiw / (WSUBM / TM); - - const int loadr = int(gl_LocalInvocationID.x % BK); - const int loadc = int(gl_LocalInvocationID.x / BK); - - const int loadstride = int(gl_WorkGroupSize.x); - - int pos_a = ir * BM * p.stride_a; - int pos_b = ic * BN * p.stride_b; - - float sums[WMITER * TM * WNITER * TN]; - float cache_a[WMITER * TM]; - float cache_b[WNITER * TN]; - - [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = 0.0f; - } - - [[unroll]] for (int block = 0; block < p.K; block += BK) { - [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; - } else { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0f; - } - } - [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; - } else { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0f; - } - } - - barrier(); - - pos_a += BK; - pos_b += BK; - - [[unroll]] for (int i = 0; i < BK; i++) { - // Load from shared into cache - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int j = 0; j < TM; j++) { - cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; - } - } - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int j = 0; j < TN; j++) { - cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; - } - } - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += cache_a[wsir * TM + cr] * cache_b[wsic * TN + cc]; - } - } - } - } - } - - barrier(); - } - - const int dr = ir * BM + warp_r * WM; - const int dc = ic * BN + warp_c * WN; - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - - const int dr_warp = dr + wsir * WSUBM + tiwr * TM; - const int dc_warp = dc + wsic * WSUBN + tiwc * TN; - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[(dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; - } - } - } - } - } -} From c7c761a2b7f1cd6e98e585db6c6c60997398f086 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 8 Jul 2023 17:27:05 +0200 Subject: [PATCH 034/142] Add split-k optimization for small matrix multiplication Use semaphores for synchronization instead of fences or waitidle Rework async write/read for synchronization --- Makefile | 1 + ggml-vulkan.cpp | 510 +++++++++++++------------- vk_shaders/f16_to_f32.glsl | 2 +- vk_shaders/matmul_f16.glsl | 22 +- vk_shaders/matmul_f32.glsl | 20 +- vk_shaders/matmul_split_k_reduce.glsl | 27 ++ 6 files changed, 315 insertions(+), 267 deletions(-) create mode 100644 vk_shaders/matmul_split_k_reduce.glsl diff --git a/Makefile b/Makefile index a2aad1e89ec4d..8bc3ad7e4854a 100644 --- a/Makefile +++ b/Makefile @@ -222,6 +222,7 @@ ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h $(CXX) $(CXXFLAGS) -c $< -o $@ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f32.glsl -o vk_shaders/matmul_f32.spv glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16.glsl -o vk_shaders/matmul_f16.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_split_k_reduce.glsl -o vk_shaders/matmul_split_k_reduce.spv glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/f16_to_f32.glsl -o vk_shaders/f16_to_f32.spv glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_q4_0.glsl -o vk_shaders/dequant_q4_0.spv endif diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 05bd55f272e8b..1e0ec5f3cfc24 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -97,6 +97,7 @@ struct vk_queue { vk::Queue queue; vk::CommandPool pool; std::vector cmd_buffers; + std::vector semaphores; std::mutex mutex; }; @@ -106,7 +107,7 @@ vk::Device vk_device; vk_queue vk_compute_queue; vk_queue vk_transfer_queues[VK_TRANSFER_QUEUE_COUNT]; VmaAllocator vk_allocator; -vk_pipeline vk_pipeline_matmul_f32, vk_pipeline_matmul_f16; +vk_pipeline vk_pipeline_matmul_f32, vk_pipeline_matmul_f16, vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; vk::Buffer vk_buffer_qa, vk_buffer_a, vk_buffer_b, vk_buffer_c; @@ -185,7 +186,7 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s return pipeline; } -static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector buffers, const std::vector&& push_constants, std::array elements, vk::CommandBuffer& cmd_buffer, vk::Fence& fence) { +static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector buffers, const std::vector&& push_constants, std::array elements, vk::CommandBuffer& cmd_buffer, vk::Fence fence, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { PROFILE("ggml_vk_dispatch_pipeline", std::vector descriptor_buffer_infos; std::vector write_descriptor_sets; @@ -213,11 +214,13 @@ static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector guard(vk_compute_queue.mutex); - vk::SubmitInfo submit_info(0, - nullptr, + vk::SubmitInfo submit_info(wait_semaphores.size(), + wait_semaphores.data(), nullptr, 1, - &cmd_buffer); + &cmd_buffer, + signal_semaphores.size(), + signal_semaphores.data()); vk_compute_queue.queue.submit({ submit_info }, fence); ); @@ -250,7 +253,7 @@ static uint32_t ggml_vk_find_queue_family_index(std::vector device_queue_create_infos; @@ -439,12 +454,13 @@ void ggml_vk_init(void) { vmaCreateAllocator(&allocator_info, &vk_allocator); // Shaders - vk_pipeline_matmul_f32 = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 6, {64, 64, 1}); + vk_pipeline_matmul_f32 = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7, {64, 64, 1}); if (vk_fp16_support) { - vk_pipeline_matmul_f16 = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 6, {64, 64, 1}); + vk_pipeline_matmul_f16 = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7, {64, 64, 1}); } + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 2, {64, 1, 1}); - vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 1, {32, 1, 1}); + vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 1, {64, 1, 1}); vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 1, {32, 1, 1}); // Queues @@ -466,10 +482,21 @@ void ggml_vk_init(void) { 4096, 49, 11008, 4096, 49, 4096, 32000, 49, 4096, + 512, 512, 128, + 128, 512, 512, + 4096, 512, 4096, + 11008, 512, 4096, + 4096, 512, 11008, + 4096, 512, 4096, + 32000, 512, 4096, + 512, 512, 128, + 128, 512, 512, }; for (size_t i = 0; i < vals.size(); i += 3) { - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2]); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2]); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 1); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 1); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 4); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 4); } #endif } @@ -606,92 +633,93 @@ void ggml_vk_host_free(void* ptr) { ggml_vk_destroy_buffer(*buf); } -static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q) { +static void ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, vk::Fence fence, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); // Buffer is already mapped if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { - GGML_ASSERT(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); - - PROFILE("ggml_vk_buffer_write visible", - memcpy((uint8_t *)dst->info.pMappedData + offset, src, size); - ); - } else { - // Check if src is pinned memory - vk_buffer* buf = nullptr; - size_t buf_offset = 0; - PROFILE("ggml_vk_buffer_write pinned check", - for (size_t i = 0; i < vk_buf_list.size(); i++) { - const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); - const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); - if (src >= addr && src < endr) { - buf = &std::get<2>(vk_buf_list[i]); - buf_offset = ((const uint8_t *)src) - addr; - break; - } - } - ); - - if (buf != nullptr) { - // Memory is pinned, use as staging buffer - VkBufferCopy buf_copy = { - buf_offset, // srcOffset - offset, // dstOffset, - size}; // size - - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); - PROFILE("ggml_vk_buffer_write pinned write", - vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); - cmd_buffer.begin(cmd_buffer_begin_info); - vkCmdCopyBuffer(cmd_buffer, buf->buffer, dst->buffer, 1, &buf_copy); - cmd_buffer.end(); - ); - - vk::SubmitInfo submit_info(0, - nullptr, - nullptr, - 1, - &cmd_buffer); - std::lock_guard guard(q.mutex); - q.queue.submit({ submit_info }, VK_NULL_HANDLE); - - return; + std::cerr << "ggml_vulkan: buffer_write_async dst buffer is host_visible. Use synchronous write." << std::endl; + } + // Check if src is pinned memory + vk_buffer* buf = nullptr; + size_t buf_offset = 0; + PROFILE("ggml_vk_buffer_write pinned check", + for (size_t i = 0; i < vk_buf_list.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); + const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); + if (src >= addr && src < endr) { + buf = &std::get<2>(vk_buf_list[i]); + buf_offset = ((const uint8_t *)src) - addr; + break; } + } + ); - // Staging buffer required, malloc because of async transfer - if (dst->sb_write == nullptr) { - dst->sb_write = new vk_buffer; - *dst->sb_write = ggml_vk_create_buffer(dst->size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_HOST, 0); + if (buf != nullptr) { + // Memory is pinned, use as staging buffer + std::vector slices(height); + for (size_t i = 0; i < height; i++) { + slices[i].srcOffset = buf_offset + i * spitch; + slices[i].dstOffset = offset + i * width; + slices[i].size = width; } - VkMemoryPropertyFlags mpf_staging; - vmaGetAllocationMemoryProperties(vk_allocator, dst->sb_write->allocation, &mpf_staging); - GGML_ASSERT(mpf_staging & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); - - VkBufferCopy buf_copy = { - 0, // srcOffset - offset, // dstOffset, - size}; // size - - PROFILE("ggml_vk_buffer_write staging", vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); + PROFILE("ggml_vk_buffer_write pinned write", vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); - vkCmdCopyBuffer(cmd_buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); + vkCmdCopyBuffer(cmd_buffer, buf->buffer, dst->buffer, height, slices.data()); cmd_buffer.end(); + ); - memcpy(dst->sb_write->info.pMappedData, src, size); - - vk::SubmitInfo submit_info(0, - nullptr, + vk::SubmitInfo submit_info(wait_semaphores.size(), + wait_semaphores.data(), nullptr, 1, - &cmd_buffer); + &cmd_buffer, + signal_semaphores.size(), + signal_semaphores.data()); std::lock_guard guard(q.mutex); - q.queue.submit({ submit_info }, VK_NULL_HANDLE); - ); + q.queue.submit({ submit_info }, fence); + + return; + } + + // Staging buffer required, malloc because of async transfer + if (dst->sb_write == nullptr) { + dst->sb_write = new vk_buffer; + *dst->sb_write = ggml_vk_create_buffer(dst->size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_HOST, 0); + } + + VkMemoryPropertyFlags mpf_staging; + vmaGetAllocationMemoryProperties(vk_allocator, dst->sb_write->allocation, &mpf_staging); + GGML_ASSERT(mpf_staging & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT); + + VkBufferCopy buf_copy = { + 0, + offset, + width * height}; + + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); + cmd_buffer.begin(cmd_buffer_begin_info); + vkCmdCopyBuffer(cmd_buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); + cmd_buffer.end(); + + for (size_t i = 0; i < height; i++) { + memcpy((uint8_t *)dst->sb_write->info.pMappedData + offset + i * width, (const uint8_t *) src + i * spitch, width); } + + vk::SubmitInfo submit_info(wait_semaphores.size(), + wait_semaphores.data(), + nullptr, + 1, + &cmd_buffer, + signal_semaphores.size(), + signal_semaphores.data()); + std::lock_guard guard(q.mutex); + q.queue.submit({ submit_info }, fence); } static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q) { @@ -704,88 +732,61 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * PROFILE("ggml_vk_buffer_write visible", for (size_t i = 0; i < height; i++) { - memcpy((uint8_t *)dst->info.pMappedData + offset + i * width, (uint8_t *) src + i * spitch, width); + memcpy((uint8_t *)dst->info.pMappedData + offset + i * width, (const uint8_t *) src + i * spitch, width); } ); } else { - // Check if src is pinned memory - vk_buffer* buf = nullptr; - size_t buf_offset = 0; - PROFILE("ggml_vk_buffer_write pinned check", - for (size_t i = 0; i < vk_buf_list.size(); i++) { - const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); - const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); - if (src >= addr && src < endr) { - buf = &std::get<2>(vk_buf_list[i]); - buf_offset = ((const uint8_t *)src) - addr; - break; - } - } - ); - - if (buf != nullptr) { - // Memory is pinned, use as staging buffer - std::vector slices(height); - for (size_t i = 0; i < height; i++) { - slices[i].srcOffset = buf_offset + i * spitch; - slices[i].dstOffset = offset + i * width; - slices[i].size = width; - } - - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); - PROFILE("ggml_vk_buffer_write pinned write", - vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); - cmd_buffer.begin(cmd_buffer_begin_info); - vkCmdCopyBuffer(cmd_buffer, buf->buffer, dst->buffer, height, slices.data()); - cmd_buffer.end(); - ); + ggml_vk_buffer_write_2d_async(dst, offset, src, spitch, width, height, q, VK_NULL_HANDLE, {}, {}); + } +} - vk::SubmitInfo submit_info(0, - nullptr, - nullptr, - 1, - &cmd_buffer); - std::lock_guard guard(q.mutex); - q.queue.submit({ submit_info }, VK_NULL_HANDLE); +static void ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, vk::Fence fence, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { + ggml_vk_buffer_write_2d_async(dst, offset, src, 0, size, 1, q, fence, std::move(wait_semaphores), std::move(signal_semaphores)); +} - return; - } +static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q) { + ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1, q); +} - // Staging buffer required, malloc because of async transfer - if (dst->sb_write == nullptr) { - dst->sb_write = new vk_buffer; - *dst->sb_write = ggml_vk_create_buffer(dst->size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_HOST, 0); +static void ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, vk::Fence fence, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { + // Check if dst is pinned memory + vk_buffer* buf = nullptr; + size_t buf_offset = 0; + for (size_t i = 0; i < vk_buf_list.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); + const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); + if (dst >= addr && dst < endr) { + buf = &std::get<2>(vk_buf_list[i]); + buf_offset = ((const uint8_t *)dst) - addr; + break; } + } - VkMemoryPropertyFlags mpf_staging; - vmaGetAllocationMemoryProperties(vk_allocator, dst->sb_write->allocation, &mpf_staging); - GGML_ASSERT(mpf_staging & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); - - VkBufferCopy buf_copy = { - 0, - offset, - width * height}; - - PROFILE("ggml_vk_buffer_write staging", - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); - vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); - cmd_buffer.begin(cmd_buffer_begin_info); - vkCmdCopyBuffer(cmd_buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); - cmd_buffer.end(); + if (buf == nullptr) { + std::cerr << "ggml_vulkan: Error: buffer_read_async only works on pinned memory" << std::endl; + GGML_ASSERT(false); + } + // Memory is pinned, use as staging buffer + VkBufferCopy buf_copy = { + offset, // srcOffset + buf_offset, // dstOffset, + size}; // size - for (size_t i = 0; i < height; i++) { - memcpy((uint8_t *)dst->info.pMappedData + offset + i * width, (uint8_t *) src + i * spitch, width); - } + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); + vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); + cmd_buffer.begin(cmd_buffer_begin_info); + vkCmdCopyBuffer(cmd_buffer, src->buffer, buf->buffer, 1, &buf_copy); + cmd_buffer.end(); - vk::SubmitInfo submit_info(0, - nullptr, - nullptr, - 1, - &cmd_buffer); - std::lock_guard guard(q.mutex); - q.queue.submit({ submit_info }, VK_NULL_HANDLE); - ); - } + vk::SubmitInfo submit_info(wait_semaphores.size(), + wait_semaphores.data(), + nullptr, + 1, + &cmd_buffer, + signal_semaphores.size(), + signal_semaphores.data()); + std::lock_guard guard(q.mutex); + q.queue.submit({ submit_info }, fence); } static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q) { @@ -876,7 +877,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } } -static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q) { +static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, vk::Fence fence, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { const uint64_t ne0 = src->ne[0]; const uint64_t ne1 = src->ne[1]; const uint64_t nb0 = src->nb[0]; @@ -890,19 +891,19 @@ static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct gg const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); if (nb0 == ts && nb1 == row_length) { - ggml_vk_buffer_write(dst, offset, x, ne1*nb1, q); + ggml_vk_buffer_write_async(dst, offset, x, ne1*nb1, q, fence, std::move(wait_semaphores), std::move(signal_semaphores)); return; } if (nb0 == ts) { PROFILE("ggml_vk_buffer_write_2d", - ggml_vk_buffer_write_2d(dst, offset, x, nb1, row_length, ne1, q); + ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, ne1, q, fence, std::move(wait_semaphores), std::move(signal_semaphores)); ); return; } GGML_ASSERT(false); // TODO: also needs handling of staging buffers uint8_t* dst_ptr = (uint8_t*) dst->info.pMappedData; - uint8_t* xc = (uint8_t*)x; + const uint8_t* xc = (const uint8_t*)x; for (uint64_t i1 = 0; i1 < ne1; i1++) { for (uint64_t i0 = 0; i0 < ne0; i0++) { dst_ptr[offset + i1 * row_length + i0 * ts] = xc[i1 * nb1 + i0 * nb0]; @@ -910,6 +911,29 @@ static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct gg } } +static int ggml_vk_guess_split_k(int m, int n, int k) { + if (k > 64 && (m < 128 || n < 128)) { + return 4; + } + + return 1; +} + +static void ggml_vk_matmul(vk_pipeline& pipeline, vk_buffer& a, vk_buffer& b, vk_buffer& d, int m, int n, int k, int split_k, vk::Fence fence, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { + if (split_k == 1) { + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); + ggml_vk_dispatch_pipeline(pipeline, {&a, &b, &d}, { m, n, k, k, k, m, k}, { (uint32_t)m, (uint32_t)n, 1}, cmd_buffer, fence, std::move(wait_semaphores), std::move(signal_semaphores)); + } else { + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); + vk::Semaphore semaphore = vk_device.createSemaphore({}); + vk_compute_queue.semaphores.push_back(semaphore); + ggml_vk_dispatch_pipeline(pipeline, {&a, &b, &d}, { m, n, k, k, k, m, CEIL_DIV(k, split_k)}, { (uint32_t)m * split_k, (uint32_t)n, 1}, cmd_buffer, VK_NULL_HANDLE, std::move(wait_semaphores), { semaphore }); + + vk::CommandBuffer cmd_buffer_reduce = ggml_vk_cmd_buffer_create(vk_compute_queue); + ggml_vk_dispatch_pipeline(vk_pipeline_matmul_split_k_reduce, {&d}, { m * n, split_k}, { (uint32_t)m * n, 1, 1}, cmd_buffer_reduce, fence, { semaphore }, std::move(signal_semaphores)); + } +} + static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; @@ -926,6 +950,8 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; + const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); + vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; @@ -935,42 +961,35 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pool_malloc(ggml_type_size(src0->type) * x_ne, &d_X, 0); } ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, 0); - ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, 0); + ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { + vk::Semaphore s_x; + vk::Semaphore s_y = vk_device.createSemaphore({}); + std::vector semaphores = { s_y }; + vk_compute_queue.semaphores.push_back(s_y); // copy data to device if (src0->backend != GGML_BACKEND_GPU) { - ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0]); + s_x = vk_device.createSemaphore({}); + vk_compute_queue.semaphores.push_back(s_x); + semaphores.push_back(s_x); + ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], VK_NULL_HANDLE, {}, { s_x }); } - ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1]); + ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], VK_NULL_HANDLE, {}, { s_y }); // compute -#ifdef VK_CHK_KERNEL - auto begin = std::chrono::high_resolution_clock::now(); -#endif - - // Wait for transfers to finish - vk_transfer_queues[0].queue.waitIdle(); - vk_transfer_queues[1].queue.waitIdle(); - - ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, cmd_buffer, fence); - - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_f32 waitForFences"); - -#ifdef VK_CHK_KERNEL - auto end = std::chrono::high_resolution_clock::now(); - - std::cout << "m=" << ne01 << " n=" << ne11 << " k=" << ne10 << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms" << std::endl; -#endif + vk::Semaphore s_mm = vk_device.createSemaphore({}); + vk_compute_queue.semaphores.push_back(s_mm); + ggml_vk_matmul(vk_pipeline_matmul_f32, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, VK_NULL_HANDLE, std::vector(semaphores), { s_mm }); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0]); + ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0], fence, { s_mm }, {}); + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_f32 waitForFences"); vk_device.resetFences({fence}); } } @@ -1014,6 +1033,8 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; + const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); + vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; @@ -1023,19 +1044,26 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, 0); } ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, 0); - ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, 0); + ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); bool src1_cont_rows = nb10 == sizeof(float); bool src1_cont_cols = (size_t)nb11 == ne11*sizeof(float); - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { + vk::Semaphore s_x; + vk::Semaphore s_y = vk_device.createSemaphore({}); + std::vector semaphores = { s_y }; + vk_compute_queue.semaphores.push_back(s_y); + // copy data to device if (src1->backend != GGML_BACKEND_GPU) { - ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0]); + s_x = vk_device.createSemaphore({}); + vk_compute_queue.semaphores.push_back(s_x); + semaphores.push_back(s_x); + ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], VK_NULL_HANDLE, {}, { s_x }); } // convert src1 to fp16 @@ -1060,30 +1088,18 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } } } - ggml_vk_buffer_write(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1]); - - // Wait for transfers to finish - vk_transfer_queues[0].queue.waitIdle(); - vk_transfer_queues[1].queue.waitIdle(); + ggml_vk_buffer_write_async(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1], VK_NULL_HANDLE, {}, { s_y }); // compute -#ifdef VK_CHK_KERNEL - auto begin = std::chrono::high_resolution_clock::now(); -#endif - - ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f16, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, cmd_buffer, fence); - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_f16 waitForFences"); - -#ifdef VK_CHK_KERNEL - auto end = std::chrono::high_resolution_clock::now(); - - std::cout << "m=" << ne01 << " n=" << ne11 << " k=" << ne10 << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms" << std::endl; -#endif + vk::Semaphore s_mm = vk_device.createSemaphore({}); + vk_compute_queue.semaphores.push_back(s_mm); + ggml_vk_matmul(vk_pipeline_matmul_f16, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, VK_NULL_HANDLE, std::vector(semaphores), { s_mm }); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0]); + ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0], fence, { s_mm }, {}); + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_f16 waitForFences"); vk_device.resetFences({fence}); } } @@ -1120,6 +1136,8 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * const int d_ne = ne11 * ne01; const size_t q_sz = ggml_type_size(type) * x_ne / ggml_blck_size(type); + const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); + vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; @@ -1127,7 +1145,7 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, 0); } ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, 0); - ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, 0); + ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); vk_buffer d_Q; if (src0->backend == GGML_BACKEND_CPU) { ggml_vk_pool_malloc(q_sz, &d_Q, 0); @@ -1137,14 +1155,25 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // vk_pipeline* dmmv = ggml_get_dequantize_mul_mat_vec_vk(type); GGML_ASSERT(to_fp32_vk != nullptr); - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { + vk::Semaphore s_x; + vk::Semaphore s_y = vk_device.createSemaphore({}); + std::vector semaphores_q; + std::vector semaphores = { s_y }; + vk_compute_queue.semaphores.push_back(s_y); + + vk::Semaphore s_mm = vk_device.createSemaphore({}); + vk_compute_queue.semaphores.push_back(s_mm); + // copy src0 to device if necessary if (src0->backend == GGML_BACKEND_CPU) { - ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0]); + s_x = vk_device.createSemaphore({}); + vk_compute_queue.semaphores.push_back(s_x); + semaphores_q.push_back(s_x); + ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0], VK_NULL_HANDLE, {}, { s_x }); } else if (src0->backend == GGML_BACKEND_GPU) { d_Q = *(vk_buffer *) src0->data; } else { @@ -1169,43 +1198,25 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // VK_CHECK(vkEnqueueNDRangeKernel(queue, *dmmv, 1, NULL, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++)); } else { // general dequantization kernel + VK matrix matrix multiplication // convert src0 to fp32 on device - // Wait for transfers to finish - vk_transfer_queues[0].queue.waitIdle(); - - vk_device.resetFences({ fence }); - ggml_vk_dispatch_pipeline(*to_fp32_vk, {&d_Q, &d_X}, { (int)x_ne }, { (uint32_t)x_ne, 1, 1}, cmd_buffer, fence); + vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); + vk::Semaphore s_q = vk_device.createSemaphore({}); + vk_compute_queue.semaphores.push_back(s_q); + semaphores.push_back(s_q); + ggml_vk_dispatch_pipeline(*to_fp32_vk, {&d_Q, &d_X}, { (int)x_ne }, { (uint32_t)x_ne, 1, 1}, cmd_buffer, VK_NULL_HANDLE, std::vector(semaphores_q), { s_q }); // copy src1 to device - ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1]); - - // wait for conversion - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_q_f32 src0 convert waitForFences"); - - vk_device.resetFences({ fence }); - cmd_buffer.reset(vk::CommandBufferResetFlags()); - - // Wait for transfers to finish - vk_transfer_queues[1].queue.waitIdle(); + ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], VK_NULL_HANDLE, {}, { s_y }); // compute -#ifdef VK_CHK_KERNEL - auto begin = std::chrono::high_resolution_clock::now(); -#endif - - ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)ne01, (int)ne11, (int)ne10, (int)ne00, (int)ne10, (int)ne01 }, { (uint32_t)ne01, (uint32_t)ne11, 1}, cmd_buffer, fence); - - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_q_f32 matmul waitForFences"); - -#ifdef VK_CHK_KERNEL - auto end = std::chrono::high_resolution_clock::now(); - - std::cout << "m=" << ne01 << " n=" << ne11 << " k=" << ne10 << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms" << std::endl; -#endif + ggml_vk_matmul(vk_pipeline_matmul_f32, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, VK_NULL_HANDLE, std::vector(semaphores), { s_mm }); } // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0]); + ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0], fence, { s_mm }, {}); + + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_q_f32 matmul waitForFences"); + vk_device.resetFences({ fence }); } } @@ -1336,7 +1347,7 @@ void ggml_vk_test_transfer(size_t ne) { free(x); free(y); } -void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { +void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k) { const size_t x_ne = m * k; const size_t y_ne = k * n; const size_t d_ne = m * n; @@ -1346,7 +1357,7 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { vk_buffer d_D; ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, 0); ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, 0); - ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, 0); + ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); float* x = (float *) malloc(sizeof(float) * x_ne); float* y = (float *) malloc(sizeof(float) * y_ne); @@ -1366,15 +1377,13 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { vk_transfer_queues[0].queue.waitIdle(); vk_transfer_queues[1].queue.waitIdle(); - vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); - - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); - auto begin = std::chrono::high_resolution_clock::now(); - ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f32, {&d_X, &d_Y, &d_D}, { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }, { (uint32_t)m, (uint32_t)n, 1}, cmd_buffer, fence); + for (size_t i = 0; i < num_it; i++) { + ggml_vk_matmul(vk_pipeline_matmul_f32, d_X, d_Y, d_D, m, n, k, split_k, VK_NULL_HANDLE, {}, {}); + } - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "test_matmul_f32 waitForFences"); + vk_compute_queue.queue.waitIdle(); auto end = std::chrono::high_resolution_clock::now(); @@ -1397,12 +1406,10 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { } } - std::cout << "TEST FP32 m=" << m << " n=" << n << " k=" << k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms avg_err=" << avg_err / (m * n) << std::endl; + std::cout << "TEST FP32 m=" << m << " n=" << n << " k=" << k << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err / (m * n) << std::endl; free(d_chk); - vk_device.destroyFence(fence); - ggml_vk_queue_cleanup(vk_compute_queue); ggml_vk_queue_cleanup(vk_transfer_queues[0]); ggml_vk_queue_cleanup(vk_transfer_queues[1]); @@ -1416,7 +1423,7 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k) { free(d); } -void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { +void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int split_k) { if (!vk_fp16_support) { return; } @@ -1429,7 +1436,7 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { vk_buffer d_D; ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, 0); ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, 0); - ggml_vk_pool_malloc(sizeof(float) * d_ne, &d_D, 0); + ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * x_ne); ggml_fp16_t* y = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * y_ne); @@ -1448,14 +1455,13 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { vk_transfer_queues[0].queue.waitIdle(); vk_transfer_queues[1].queue.waitIdle(); - vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); - auto begin = std::chrono::high_resolution_clock::now(); - ggml_vk_dispatch_pipeline(vk_pipeline_matmul_f16, {&d_X, &d_Y, &d_D}, { (int)m, (int)n, (int)k, (int)k, (int)k, (int)m }, { (uint32_t)m, (uint32_t)n, 1}, cmd_buffer, fence); + for (size_t i = 0; i < num_it; i++) { + ggml_vk_matmul(vk_pipeline_matmul_f16, d_X, d_Y, d_D, m, n, k, split_k, VK_NULL_HANDLE, {}, {}); + } - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "test_matmul_f16 waitForFences"); + vk_compute_queue.queue.waitIdle(); auto end = std::chrono::high_resolution_clock::now(); @@ -1483,14 +1489,12 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k) { } } - std::cout << "TEST FP16 m=" << m << " n=" << n << " k=" << k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 << "ms avg_err=" << avg_err / (m * n) << std::endl; + std::cout << "TEST FP16 m=" << m << " n=" << n << " k=" << k << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err / (m * n) << std::endl; free(fx); free(fy); free(d_chk); - vk_device.destroyFence(fence); - ggml_vk_queue_cleanup(vk_compute_queue); ggml_vk_queue_cleanup(vk_transfer_queues[0]); ggml_vk_queue_cleanup(vk_transfer_queues[1]); diff --git a/vk_shaders/f16_to_f32.glsl b/vk_shaders/f16_to_f32.glsl index 85d7152dbfa25..8dddee22c959d 100644 --- a/vk_shaders/f16_to_f32.glsl +++ b/vk_shaders/f16_to_f32.glsl @@ -2,7 +2,7 @@ #extension GL_EXT_shader_16bit_storage : require -layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer A { float16_t data_a[]; }; layout (binding = 1) writeonly buffer D { float data_b[]; }; diff --git a/vk_shaders/matmul_f16.glsl b/vk_shaders/matmul_f16.glsl index 8fa3cda6c57b9..4a56ffcffa407 100644 --- a/vk_shaders/matmul_f16.glsl +++ b/vk_shaders/matmul_f16.glsl @@ -28,13 +28,16 @@ layout (push_constant) uniform parameter int stride_a; int stride_b; int stride_d; + int k_split; } p; shared float16_t buf_a[BM * (BK+1)]; shared float16_t buf_b[BN * (BK+1)]; void main() { - const int ir = int(gl_WorkGroupID.x); + const int blocks_x = (p.M + BM - 1) / BM; + const int ir = int(gl_WorkGroupID.x) % blocks_x; + const int ik = int(gl_WorkGroupID.x) / blocks_x; const int ic = int(gl_WorkGroupID.y); const int warp_i = int(gl_LocalInvocationID.x / WARP); @@ -54,18 +57,21 @@ void main() { const int loadstride = int(gl_WorkGroupSize.x); - int pos_a = ir * BM * p.stride_a; - int pos_b = ic * BN * p.stride_b; + const int start_k = ik * p.k_split; + const int end_k = (ik + 1) * p.k_split; + + int pos_a = ir * BM * p.stride_a + start_k; + int pos_b = ic * BN * p.stride_b + start_k; float sums[WMITER * TM * WNITER * TN]; float16_t cache_a[WMITER * TM]; float16_t cache_b[WNITER * TN]; [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = 0.0hf; + sums[i] = 0.0f; } - [[unroll]] for (int block = 0; block < p.K; block += BK) { + [[unroll]] for (int block = start_k; block < end_k; block += BK) { [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { const int lr = l % BK; const int lc = l / BK; @@ -90,7 +96,7 @@ void main() { pos_a += BK; pos_b += BK; - [[unroll]] for (int i = 0; i < BK; i++) { + for (int i = 0; i < min(BK, p.K - block); i++) { // Load from shared into cache [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { [[unroll]] for (int j = 0; j < TM; j++) { @@ -120,6 +126,8 @@ void main() { const int dr = ir * BM + warp_r * WM; const int dc = ic * BN + warp_c * WN; + const int k_split_offset = ik * p.M * p.N; + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { @@ -128,7 +136,7 @@ void main() { [[unroll]] for (int cc = 0; cc < TN; cc++) { [[unroll]] for (int cr = 0; cr < TM; cr++) { if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[(dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; } } } diff --git a/vk_shaders/matmul_f32.glsl b/vk_shaders/matmul_f32.glsl index a353345af7bb1..c461685d08483 100644 --- a/vk_shaders/matmul_f32.glsl +++ b/vk_shaders/matmul_f32.glsl @@ -27,13 +27,16 @@ layout (push_constant) uniform parameter int stride_a; int stride_b; int stride_d; + int k_split; } p; shared float buf_a[BM * (BK+1)]; shared float buf_b[BN * (BK+1)]; void main() { - const int ir = int(gl_WorkGroupID.x); + const int blocks_x = (p.M + BM - 1) / BM; + const int ir = int(gl_WorkGroupID.x) % blocks_x; + const int ik = int(gl_WorkGroupID.x) / blocks_x; const int ic = int(gl_WorkGroupID.y); const int warp_i = int(gl_LocalInvocationID.x / WARP); @@ -53,8 +56,11 @@ void main() { const int loadstride = int(gl_WorkGroupSize.x); - int pos_a = ir * BM * p.stride_a; - int pos_b = ic * BN * p.stride_b; + const int start_k = ik * p.k_split; + const int end_k = (ik + 1) * p.k_split; + + int pos_a = ir * BM * p.stride_a + start_k; + int pos_b = ic * BN * p.stride_b + start_k; float sums[WMITER * TM * WNITER * TN]; float cache_a[WMITER * TM]; @@ -64,7 +70,7 @@ void main() { sums[i] = 0.0f; } - [[unroll]] for (int block = 0; block < p.K; block += BK) { + [[unroll]] for (int block = start_k; block < end_k; block += BK) { [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { const int lr = l % BK; const int lc = l / BK; @@ -89,7 +95,7 @@ void main() { pos_a += BK; pos_b += BK; - [[unroll]] for (int i = 0; i < BK; i++) { + for (int i = 0; i < min(BK, p.K - block); i++) { // Load from shared into cache [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { [[unroll]] for (int j = 0; j < TM; j++) { @@ -119,6 +125,8 @@ void main() { const int dr = ir * BM + warp_r * WM; const int dc = ic * BN + warp_c * WN; + const int k_split_offset = ik * p.M * p.N; + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { @@ -127,7 +135,7 @@ void main() { [[unroll]] for (int cc = 0; cc < TN; cc++) { [[unroll]] for (int cr = 0; cr < TM; cr++) { if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[(dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; } } } diff --git a/vk_shaders/matmul_split_k_reduce.glsl b/vk_shaders/matmul_split_k_reduce.glsl new file mode 100644 index 0000000000000..710f10e3965db --- /dev/null +++ b/vk_shaders/matmul_split_k_reduce.glsl @@ -0,0 +1,27 @@ +#version 450 + +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) buffer A { float data[]; }; + +layout (push_constant) uniform parameter +{ + int N; + int k_num; +} p; + +void main() { + const int idx = int(gl_GlobalInvocationID.x); + + if (idx >= p.N) { + return; + } + + float result = 0.0f; + + for (int i = 0; i < p.k_num; i++) { + result += data[i * p.N + idx]; + } + + data[idx] = result; +} From 0ef62f511a0ca53c627352cccd16765c7dc6dfc2 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 8 Jul 2023 20:40:19 +0200 Subject: [PATCH 035/142] Fix validation errors, improve compatibility with AMD GPUs --- ggml-vulkan.cpp | 37 ++++++++++++++++++--------- vk_shaders/matmul_split_k_reduce.glsl | 12 ++++++--- 2 files changed, 33 insertions(+), 16 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 1e0ec5f3cfc24..4495b8b49475b 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -59,6 +59,10 @@ inline static void* ggml_aligned_malloc(size_t size, size_t alignment) { #define VK_TRANSFER_QUEUE_COUNT 2 +#define VK_VENDOR_ID_AMD 0x1002 +#define VK_VENDOR_ID_INTEL 0x8086 +#define VK_VENDOR_ID_NVIDIA 0x10de + struct vk_buffer { vk::Buffer buffer; VmaAllocation allocation; @@ -104,9 +108,11 @@ struct vk_queue { vk::Instance vk_instance; vk::PhysicalDevice vk_physical_device; vk::Device vk_device; +uint32_t vk_device_vendor_id; vk_queue vk_compute_queue; vk_queue vk_transfer_queues[VK_TRANSFER_QUEUE_COUNT]; VmaAllocator vk_allocator; +vk::PipelineStageFlags vk_stage_flags[8] = { vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader }; vk_pipeline vk_pipeline_matmul_f32, vk_pipeline_matmul_f16, vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; @@ -145,10 +151,18 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s vk::ShaderModule shader_module = vk_device.createShaderModule(shader_module_create_info); std::vector dsl_binding; + std::vector dsl_binding_flags; for (uint32_t i = 0; i < parameter_count; i++) { dsl_binding.push_back({i, vk::DescriptorType::eStorageBuffer, 1, vk::ShaderStageFlagBits::eCompute}); + dsl_binding_flags.push_back(VK_DESCRIPTOR_BINDING_UPDATE_AFTER_BIND_BIT); } + VkDescriptorSetLayoutBindingFlagsCreateInfo dslbfci; + dslbfci.pNext = nullptr; + dslbfci.sType = VK_STRUCTURE_TYPE_DESCRIPTOR_SET_LAYOUT_BINDING_FLAGS_CREATE_INFO; + dslbfci.bindingCount = dsl_binding_flags.size(); + dslbfci.pBindingFlags = dsl_binding_flags.data(); + vk::PushConstantRange pcr( vk::ShaderStageFlagBits::eCompute, 0, @@ -156,12 +170,13 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s ); vk::DescriptorSetLayoutCreateInfo descriptor_set_layout_create_info( - vk::DescriptorSetLayoutCreateFlags(), + vk::DescriptorSetLayoutCreateFlags(VK_DESCRIPTOR_SET_LAYOUT_CREATE_UPDATE_AFTER_BIND_POOL_BIT), dsl_binding); + descriptor_set_layout_create_info.setPNext(&dslbfci); pipeline.dsl = vk_device.createDescriptorSetLayout(descriptor_set_layout_create_info); vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline.parameter_count); - vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(VK_DESCRIPTOR_POOL_CREATE_FREE_DESCRIPTOR_SET_BIT), 1, descriptor_pool_size); + vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(VK_DESCRIPTOR_POOL_CREATE_FREE_DESCRIPTOR_SET_BIT | VK_DESCRIPTOR_POOL_CREATE_UPDATE_AFTER_BIND_BIT), 1, descriptor_pool_size); pipeline.descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pipeline.descriptor_pool, 1, &pipeline.dsl); @@ -187,7 +202,6 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s } static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector buffers, const std::vector&& push_constants, std::array elements, vk::CommandBuffer& cmd_buffer, vk::Fence fence, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { - PROFILE("ggml_vk_dispatch_pipeline", std::vector descriptor_buffer_infos; std::vector write_descriptor_sets; for (uint32_t i = 0; i < pipeline.parameter_count; i++) { @@ -207,7 +221,6 @@ static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector& queue_family_props, const vk::QueueFlags& required, const vk::QueueFlags& avoid, int32_t compute_index, int32_t min_num_queues) { @@ -365,6 +377,8 @@ void ggml_vk_init(void) { vk::PhysicalDeviceProperties device_props = vk_physical_device.getProperties(); std::cerr << "ggml_vulkan: Using " << device_props.deviceName << std::endl; + vk_device_vendor_id = device_props.vendorID; + std::vector ext_props = vk_physical_device.enumerateDeviceExtensionProperties(); bool fp16_storage = false; @@ -458,7 +472,7 @@ void ggml_vk_init(void) { if (vk_fp16_support) { vk_pipeline_matmul_f16 = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7, {64, 64, 1}); } - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 2, {64, 1, 1}); + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 3, {32, 32, 1}); vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 1, {64, 1, 1}); vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 1, {32, 1, 1}); @@ -675,7 +689,7 @@ static void ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const v vk::SubmitInfo submit_info(wait_semaphores.size(), wait_semaphores.data(), - nullptr, + vk_stage_flags, 1, &cmd_buffer, signal_semaphores.size(), @@ -713,7 +727,7 @@ static void ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const v vk::SubmitInfo submit_info(wait_semaphores.size(), wait_semaphores.data(), - nullptr, + vk_stage_flags, 1, &cmd_buffer, signal_semaphores.size(), @@ -780,7 +794,7 @@ static void ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, vk::SubmitInfo submit_info(wait_semaphores.size(), wait_semaphores.data(), - nullptr, + vk_stage_flags, 1, &cmd_buffer, signal_semaphores.size(), @@ -930,7 +944,7 @@ static void ggml_vk_matmul(vk_pipeline& pipeline, vk_buffer& a, vk_buffer& b, vk ggml_vk_dispatch_pipeline(pipeline, {&a, &b, &d}, { m, n, k, k, k, m, CEIL_DIV(k, split_k)}, { (uint32_t)m * split_k, (uint32_t)n, 1}, cmd_buffer, VK_NULL_HANDLE, std::move(wait_semaphores), { semaphore }); vk::CommandBuffer cmd_buffer_reduce = ggml_vk_cmd_buffer_create(vk_compute_queue); - ggml_vk_dispatch_pipeline(vk_pipeline_matmul_split_k_reduce, {&d}, { m * n, split_k}, { (uint32_t)m * n, 1, 1}, cmd_buffer_reduce, fence, { semaphore }, std::move(signal_semaphores)); + ggml_vk_dispatch_pipeline(vk_pipeline_matmul_split_k_reduce, {&d}, { m, n, split_k}, { (uint32_t)m, (uint32_t)n, 1}, cmd_buffer_reduce, fence, { semaphore }, std::move(signal_semaphores)); } } @@ -1502,7 +1516,6 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp ggml_vk_pool_free(d_X); ggml_vk_pool_free(d_Y); - size_t ev_idx = 0; ggml_vk_pool_free(d_D); free(x); diff --git a/vk_shaders/matmul_split_k_reduce.glsl b/vk_shaders/matmul_split_k_reduce.glsl index 710f10e3965db..006f8cbf9eee2 100644 --- a/vk_shaders/matmul_split_k_reduce.glsl +++ b/vk_shaders/matmul_split_k_reduce.glsl @@ -1,26 +1,30 @@ #version 450 -layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; layout (binding = 0) buffer A { float data[]; }; layout (push_constant) uniform parameter { + int M; int N; int k_num; } p; void main() { - const int idx = int(gl_GlobalInvocationID.x); + const int glr = int(gl_GlobalInvocationID.x); + const int glc = int(gl_GlobalInvocationID.y); - if (idx >= p.N) { + if (glr >= p.M || glc >= p.N) { return; } + const int idx = glc * p.M + glr; + float result = 0.0f; for (int i = 0; i < p.k_num; i++) { - result += data[i * p.N + idx]; + result += data[i * p.M * p.N + idx]; } data[idx] = result; From 3bc7a80ca64493f39836281e5df9b2e3416acb49 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 9 Jul 2023 11:37:32 +0200 Subject: [PATCH 036/142] Rework command buffer handling --- ggml-vulkan.cpp | 428 ++++++++++++++++++++++++++---------------------- 1 file changed, 228 insertions(+), 200 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 4495b8b49475b..2f795d4256f92 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -100,11 +100,20 @@ struct vk_queue { uint32_t queue_family_index; vk::Queue queue; vk::CommandPool pool; + uint32_t cmd_buffer_idx; std::vector cmd_buffers; std::vector semaphores; std::mutex mutex; }; +struct vk_submission { + vk::CommandBuffer buffer; + std::vector wait_semaphores; + std::vector signal_semaphores; +}; + +typedef std::vector vk_sequence; + vk::Instance vk_instance; vk::PhysicalDevice vk_physical_device; vk::Device vk_device; @@ -112,7 +121,7 @@ uint32_t vk_device_vendor_id; vk_queue vk_compute_queue; vk_queue vk_transfer_queues[VK_TRANSFER_QUEUE_COUNT]; VmaAllocator vk_allocator; -vk::PipelineStageFlags vk_stage_flags[8] = { vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader }; +vk::PipelineStageFlags vk_stage_flags[8] = { vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands }; vk_pipeline vk_pipeline_matmul_f32, vk_pipeline_matmul_f16, vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; @@ -185,7 +194,6 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), pipeline.dsl, pcr); pipeline.layout = vk_device.createPipelineLayout(pipeline_layout_create_info); - vk::PipelineCache pipeline_cache = vk_device.createPipelineCache(vk::PipelineCacheCreateInfo()); vk::PipelineShaderStageCreateInfo pipeline_shader_create_info( vk::PipelineShaderStageCreateFlags(), @@ -196,12 +204,71 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s vk::PipelineCreateFlags(), pipeline_shader_create_info, pipeline.layout); - pipeline.pipeline = vk_device.createComputePipeline(pipeline_cache, compute_pipeline_create_info).value; + pipeline.pipeline = vk_device.createComputePipeline(VK_NULL_HANDLE, compute_pipeline_create_info).value; return pipeline; } -static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector buffers, const std::vector&& push_constants, std::array elements, vk::CommandBuffer& cmd_buffer, vk::Fence fence, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk::CommandBuffer ggml_vk_create_cmd_buffer(vk_queue& q) { + if (q.cmd_buffers.size() > q.cmd_buffer_idx) { + // Reuse command buffer + return q.cmd_buffers[q.cmd_buffer_idx++]; + } + + vk::CommandBufferAllocateInfo command_buffer_alloc_info( + q.pool, + vk::CommandBufferLevel::ePrimary, + 1); + const std::vector cmd_buffers = vk_device.allocateCommandBuffers(command_buffer_alloc_info); + auto buf = cmd_buffers.front(); + + q.cmd_buffers.push_back(buf); + q.cmd_buffer_idx++; + + return buf; +} + +static vk_submission ggml_vk_create_submission(vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { + vk_submission s; + s.buffer = ggml_vk_create_cmd_buffer(q); + s.wait_semaphores = wait_semaphores; + s.signal_semaphores = signal_semaphores; + return s; +} + +static vk_sequence ggml_vk_create_sequence_1(vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { + return { ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)) }; +} + +static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk::Fence fence) { + if (sequences.empty()) { + return; + } + + std::vector submit_infos; + + for (const auto& sequence : sequences) { + for (const auto& submission : sequence) { + submit_infos.push_back({ + (uint32_t) submission.wait_semaphores.size(), + submission.wait_semaphores.data(), + vk_stage_flags, + 1, + &submission.buffer, + (uint32_t) submission.signal_semaphores.size(), + submission.signal_semaphores.data() + }); + } + } + + std::lock_guard guard(q.mutex); + + q.queue.submit(submit_infos, fence); + + sequences.clear(); +} + +static vk_submission ggml_vk_submit_pipeline(vk_pipeline& pipeline, std::vector buffers, const std::vector&& push_constants, std::array elements, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { std::vector descriptor_buffer_infos; std::vector write_descriptor_sets; for (uint32_t i = 0; i < pipeline.parameter_count; i++) { @@ -213,44 +280,39 @@ static void ggml_vk_dispatch_pipeline(vk_pipeline& pipeline, std::vector(pipeline.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); - cmd_buffer.bindPipeline(vk::PipelineBindPoint::eCompute, pipeline.pipeline); - cmd_buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, - pipeline.layout, - 0, - { pipeline.descriptor_set }, - {}); - cmd_buffer.dispatch(CEIL_DIV(elements[0], pipeline.wg_denoms[0]), CEIL_DIV(elements[1], pipeline.wg_denoms[1]), CEIL_DIV(elements[2], pipeline.wg_denoms[2])); - cmd_buffer.end(); - - std::lock_guard guard(vk_compute_queue.mutex); - - vk::SubmitInfo submit_info(wait_semaphores.size(), - wait_semaphores.data(), - vk_stage_flags, - 1, - &cmd_buffer, - signal_semaphores.size(), - signal_semaphores.data()); - - vk_compute_queue.queue.submit({ submit_info }, fence); + vk_submission s; + s.buffer = ggml_vk_create_cmd_buffer(q); + + s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + s.buffer.pushConstants(pipeline.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); + s.buffer.bindPipeline(vk::PipelineBindPoint::eCompute, pipeline.pipeline); + s.buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, + pipeline.layout, + 0, + { pipeline.descriptor_set }, + {}); + s.buffer.dispatch(CEIL_DIV(elements[0], pipeline.wg_denoms[0]), CEIL_DIV(elements[1], pipeline.wg_denoms[1]), CEIL_DIV(elements[2], pipeline.wg_denoms[2])); + s.buffer.end(); + + s.wait_semaphores = wait_semaphores; + s.signal_semaphores = signal_semaphores; + + return s; } -static uint32_t ggml_vk_find_queue_family_index(std::vector& queue_family_props, const vk::QueueFlags& required, const vk::QueueFlags& avoid, int32_t compute_index, int32_t min_num_queues) { +static uint32_t ggml_vk_find_queue_family_index(std::vector& queue_family_props, const vk::QueueFlags& required, const vk::QueueFlags& avoid, int32_t compute_index, uint32_t min_num_queues) { const uint32_t qfsize = queue_family_props.size(); // Try with avoid preferences first for (uint32_t i = 0; i < qfsize; i++) { - if (queue_family_props[i].queueCount >= min_num_queues && (compute_index < 0 || i != compute_index) && queue_family_props[i].queueFlags & required && !(queue_family_props[i].queueFlags & avoid)) { + if (queue_family_props[i].queueCount >= min_num_queues && (compute_index < 0 || i != (uint32_t) compute_index) && queue_family_props[i].queueFlags & required && !(queue_family_props[i].queueFlags & avoid)) { return i; } } // Fall back to only required for (size_t i = 0; i < qfsize; i++) { - if (queue_family_props[i].queueCount >= min_num_queues && (compute_index < 0 || i != compute_index) && queue_family_props[i].queueFlags & required) { + if (queue_family_props[i].queueCount >= min_num_queues && (compute_index < 0 || i != (uint32_t) compute_index) && queue_family_props[i].queueFlags & required) { return i; } } @@ -274,36 +336,33 @@ static vk_queue ggml_vk_create_queue(uint32_t queue_family_index, uint32_t queue vk_queue q; q.queue_family_index = queue_family_index; - vk::CommandPoolCreateInfo command_pool_create_info_compute(vk::CommandPoolCreateFlags(VK_COMMAND_POOL_CREATE_RESET_COMMAND_BUFFER_BIT), queue_family_index); + vk::CommandPoolCreateInfo command_pool_create_info_compute(vk::CommandPoolCreateFlags(VK_COMMAND_POOL_CREATE_TRANSIENT_BIT), queue_family_index); q.pool = vk_device.createCommandPool(command_pool_create_info_compute); + q.cmd_buffer_idx = 0; + q.queue = vk_device.getQueue(queue_family_index, queue_index); return q; } -static vk::CommandBuffer ggml_vk_cmd_buffer_create(vk_queue& q) { - vk::CommandBufferAllocateInfo command_buffer_alloc_info( - q.pool, - vk::CommandBufferLevel::ePrimary, - 1); - const std::vector cmd_buffers = vk_device.allocateCommandBuffers(command_buffer_alloc_info); - auto buf = cmd_buffers.front(); +static vk::Semaphore ggml_vk_create_semaphore(vk_queue& q) { + vk::Semaphore semaphore = vk_device.createSemaphore({}); + q.semaphores.push_back(semaphore); - q.cmd_buffers.push_back(buf); - - return buf; + return semaphore; } static void ggml_vk_queue_cleanup(vk_queue& q) { q.queue.waitIdle(); - vk_device.freeCommandBuffers(q.pool, q.cmd_buffers); - q.cmd_buffers.clear(); for (auto semaphore : q.semaphores) { vk_device.destroySemaphore(semaphore); } q.semaphores.clear(); + + vk_device.resetCommandPool(q.pool); + q.cmd_buffer_idx = 0; } static vk_buffer ggml_vk_create_buffer(size_t size, VmaAllocationCreateFlags alloc_flags, VmaMemoryUsage vma_usage, VkMemoryPropertyFlags req_flags = 0) { @@ -647,7 +706,7 @@ void ggml_vk_host_free(void* ptr) { ggml_vk_destroy_buffer(*buf); } -static void ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, vk::Fence fence, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); @@ -670,6 +729,8 @@ static void ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const v } ); + vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); + if (buf != nullptr) { // Memory is pinned, use as staging buffer std::vector slices(height); @@ -679,25 +740,10 @@ static void ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const v slices[i].size = width; } - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); - PROFILE("ggml_vk_buffer_write pinned write", - vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); - cmd_buffer.begin(cmd_buffer_begin_info); - vkCmdCopyBuffer(cmd_buffer, buf->buffer, dst->buffer, height, slices.data()); - cmd_buffer.end(); - ); - - vk::SubmitInfo submit_info(wait_semaphores.size(), - wait_semaphores.data(), - vk_stage_flags, - 1, - &cmd_buffer, - signal_semaphores.size(), - signal_semaphores.data()); - std::lock_guard guard(q.mutex); - q.queue.submit({ submit_info }, fence); - - return; + s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + vkCmdCopyBuffer(s.buffer, buf->buffer, dst->buffer, height, slices.data()); + s.buffer.end(); + return { s }; } // Staging buffer required, malloc because of async transfer @@ -715,25 +761,15 @@ static void ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const v offset, width * height}; - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); - vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); - cmd_buffer.begin(cmd_buffer_begin_info); - vkCmdCopyBuffer(cmd_buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); - cmd_buffer.end(); + s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + vkCmdCopyBuffer(s.buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); + s.buffer.end(); for (size_t i = 0; i < height; i++) { memcpy((uint8_t *)dst->sb_write->info.pMappedData + offset + i * width, (const uint8_t *) src + i * spitch, width); } - vk::SubmitInfo submit_info(wait_semaphores.size(), - wait_semaphores.data(), - vk_stage_flags, - 1, - &cmd_buffer, - signal_semaphores.size(), - signal_semaphores.data()); - std::lock_guard guard(q.mutex); - q.queue.submit({ submit_info }, fence); + return { s }; } static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q) { @@ -750,19 +786,22 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * } ); } else { - ggml_vk_buffer_write_2d_async(dst, offset, src, spitch, width, height, q, VK_NULL_HANDLE, {}, {}); + vk::Fence fence = vk_device.createFence({}); + std::vector s = { ggml_vk_buffer_write_2d_async(dst, offset, src, spitch, width, height, q, {}, {}) }; + ggml_vk_submit(q, s, fence); + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_write_2d waitForFences"); } } -static void ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, vk::Fence fence, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { - ggml_vk_buffer_write_2d_async(dst, offset, src, 0, size, 1, q, fence, std::move(wait_semaphores), std::move(signal_semaphores)); +static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { + return ggml_vk_buffer_write_2d_async(dst, offset, src, 0, size, 1, q, std::move(wait_semaphores), std::move(signal_semaphores)); } static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q) { ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1, q); } -static void ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, vk::Fence fence, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { // Check if dst is pinned memory vk_buffer* buf = nullptr; size_t buf_offset = 0; @@ -786,21 +825,12 @@ static void ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, buf_offset, // dstOffset, size}; // size - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); - vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); - cmd_buffer.begin(cmd_buffer_begin_info); - vkCmdCopyBuffer(cmd_buffer, src->buffer, buf->buffer, 1, &buf_copy); - cmd_buffer.end(); - - vk::SubmitInfo submit_info(wait_semaphores.size(), - wait_semaphores.data(), - vk_stage_flags, - 1, - &cmd_buffer, - signal_semaphores.size(), - signal_semaphores.data()); - std::lock_guard guard(q.mutex); - q.queue.submit({ submit_info }, fence); + vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); + s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + vkCmdCopyBuffer(s.buffer, src->buffer, buf->buffer, 1, &buf_copy); + s.buffer.end(); + + return { s }; } static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q) { @@ -810,14 +840,11 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { GGML_ASSERT(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); - PROFILE("ggml_vk_buffer_read visible", memcpy(dst, (uint8_t *) src->info.pMappedData + offset, size); - ); } else { // Check if dst is pinned memory vk_buffer* buf = nullptr; size_t buf_offset = 0; - PROFILE("ggml_vk_buffer_write pinned check", for (size_t i = 0; i < vk_buf_list.size(); i++) { const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); @@ -827,30 +854,21 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ break; } } - ); if (buf != nullptr) { // Memory is pinned, use as staging buffer + vk::Fence fence = vk_device.createFence({}); VkBufferCopy buf_copy = { - offset, // srcOffset - buf_offset, // dstOffset, - size}; // size - - PROFILE("ggml_vk_buffer_write pinned read", - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); - vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); - cmd_buffer.begin(cmd_buffer_begin_info); - vkCmdCopyBuffer(cmd_buffer, src->buffer, buf->buffer, 1, &buf_copy); - cmd_buffer.end(); - - vk::SubmitInfo submit_info(0, - nullptr, - nullptr, - 1, - &cmd_buffer); - std::lock_guard guard(q.mutex); - q.queue.submit({ submit_info }, VK_NULL_HANDLE); - ); + offset, + buf_offset, + size}; + + std::vector s = { ggml_vk_create_sequence_1(q, {}, {}) }; + s[0][0].buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + vkCmdCopyBuffer(s[0][0].buffer, src->buffer, buf->buffer, 1, &buf_copy); + s[0][0].buffer.end(); + ggml_vk_submit(q, s, fence); + vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read waitForFences"); return; } @@ -868,8 +886,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ 0, // dstOffset, size}; // size - PROFILE("ggml_vk_buffer_write staging", - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(q); + vk::CommandBuffer cmd_buffer = ggml_vk_create_cmd_buffer(q); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); vkCmdCopyBuffer(cmd_buffer, src->buffer, src->sb_read->buffer, 1, &buf_copy); @@ -887,11 +904,10 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read staging waitForFences"); vk_device.destroyFence(fence); memcpy(dst, src->sb_read->info.pMappedData, size); - ); } } -static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, vk::Fence fence, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { const uint64_t ne0 = src->ne[0]; const uint64_t ne1 = src->ne[1]; const uint64_t nb0 = src->nb[0]; @@ -905,14 +921,10 @@ static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct gg const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); if (nb0 == ts && nb1 == row_length) { - ggml_vk_buffer_write_async(dst, offset, x, ne1*nb1, q, fence, std::move(wait_semaphores), std::move(signal_semaphores)); - return; + return ggml_vk_buffer_write_async(dst, offset, x, ne1*nb1, q, std::move(wait_semaphores), std::move(signal_semaphores)); } if (nb0 == ts) { - PROFILE("ggml_vk_buffer_write_2d", - ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, ne1, q, fence, std::move(wait_semaphores), std::move(signal_semaphores)); - ); - return; + return ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, ne1, q, std::move(wait_semaphores), std::move(signal_semaphores)); } GGML_ASSERT(false); // TODO: also needs handling of staging buffers @@ -926,26 +938,25 @@ static void ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct gg } static int ggml_vk_guess_split_k(int m, int n, int k) { - if (k > 64 && (m < 128 || n < 128)) { + if (k > 128 && (m < 128 || n < 128)) { return 4; } return 1; } -static void ggml_vk_matmul(vk_pipeline& pipeline, vk_buffer& a, vk_buffer& b, vk_buffer& d, int m, int n, int k, int split_k, vk::Fence fence, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_buffer& a, vk_buffer& b, vk_buffer& d, int m, int n, int k, int split_k, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { if (split_k == 1) { - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); - ggml_vk_dispatch_pipeline(pipeline, {&a, &b, &d}, { m, n, k, k, k, m, k}, { (uint32_t)m, (uint32_t)n, 1}, cmd_buffer, fence, std::move(wait_semaphores), std::move(signal_semaphores)); - } else { - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); - vk::Semaphore semaphore = vk_device.createSemaphore({}); - vk_compute_queue.semaphores.push_back(semaphore); - ggml_vk_dispatch_pipeline(pipeline, {&a, &b, &d}, { m, n, k, k, k, m, CEIL_DIV(k, split_k)}, { (uint32_t)m * split_k, (uint32_t)n, 1}, cmd_buffer, VK_NULL_HANDLE, std::move(wait_semaphores), { semaphore }); - - vk::CommandBuffer cmd_buffer_reduce = ggml_vk_cmd_buffer_create(vk_compute_queue); - ggml_vk_dispatch_pipeline(vk_pipeline_matmul_split_k_reduce, {&d}, { m, n, split_k}, { (uint32_t)m, (uint32_t)n, 1}, cmd_buffer_reduce, fence, { semaphore }, std::move(signal_semaphores)); + return { ggml_vk_submit_pipeline(pipeline, { &a, &b, &d }, { m, n, k, k, k, m, k }, { (uint32_t)m, (uint32_t)n, 1 }, q, std::move(wait_semaphores), std::move(signal_semaphores)) }; } + + // Synchronize the two submissions + vk::Semaphore semaphore = ggml_vk_create_semaphore(q); + + vk_submission s1 = ggml_vk_submit_pipeline(pipeline, { &a, &b, &d }, { m, n, k, k, k, m, CEIL_DIV(k, split_k) }, { (uint32_t)m * split_k, (uint32_t)n, 1 }, q, std::move(wait_semaphores), { semaphore }); + vk_submission s2 = ggml_vk_submit_pipeline(vk_pipeline_matmul_split_k_reduce, { &d }, { m, n, split_k }, { (uint32_t)m, (uint32_t)n, 1 }, q, { semaphore }, std::move(signal_semaphores)); + + return { s1, s2 }; } static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { @@ -977,42 +988,46 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, 0); ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + std::vector compute_seqs; + std::vector transfer_0_seqs; + std::vector transfer_1_seqs; for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { vk::Semaphore s_x; - vk::Semaphore s_y = vk_device.createSemaphore({}); + vk::Semaphore s_y = ggml_vk_create_semaphore(vk_compute_queue); std::vector semaphores = { s_y }; - vk_compute_queue.semaphores.push_back(s_y); // copy data to device if (src0->backend != GGML_BACKEND_GPU) { - s_x = vk_device.createSemaphore({}); - vk_compute_queue.semaphores.push_back(s_x); + s_x = ggml_vk_create_semaphore(vk_compute_queue); semaphores.push_back(s_x); - ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], VK_NULL_HANDLE, {}, { s_x }); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); } - ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], VK_NULL_HANDLE, {}, { s_y }); + + ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], {}, { s_y })); // compute - vk::Semaphore s_mm = vk_device.createSemaphore({}); - vk_compute_queue.semaphores.push_back(s_mm); - ggml_vk_matmul(vk_pipeline_matmul_f32, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, VK_NULL_HANDLE, std::vector(semaphores), { s_mm }); + vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); + + compute_seqs.push_back(ggml_vk_matmul(vk_pipeline_matmul_f32, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0], fence, { s_mm }, {}); + transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0], { s_mm }, {})); - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_f32 waitForFences"); - vk_device.resetFences({fence}); + ggml_vk_submit(vk_transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_compute_queue, compute_seqs, VK_NULL_HANDLE); } } - vk_device.destroyFence(fence); + ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - ggml_vk_queue_cleanup(vk_compute_queue); + // cleanup waits for the queue to be done ggml_vk_queue_cleanup(vk_transfer_queues[0]); ggml_vk_queue_cleanup(vk_transfer_queues[1]); + ggml_vk_queue_cleanup(vk_compute_queue); if (src0->backend != GGML_BACKEND_GPU) { ggml_vk_pool_free(d_X); @@ -1063,23 +1078,25 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr bool src1_cont_rows = nb10 == sizeof(float); bool src1_cont_cols = (size_t)nb11 == ne11*sizeof(float); - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo()); + std::vector compute_seqs; + std::vector transfer_0_seqs; + std::vector transfer_1_seqs; for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { vk::Semaphore s_x; - vk::Semaphore s_y = vk_device.createSemaphore({}); + vk::Semaphore s_y = ggml_vk_create_semaphore(vk_compute_queue); std::vector semaphores = { s_y }; - vk_compute_queue.semaphores.push_back(s_y); // copy data to device if (src1->backend != GGML_BACKEND_GPU) { - s_x = vk_device.createSemaphore({}); - vk_compute_queue.semaphores.push_back(s_x); + s_x = ggml_vk_create_semaphore(vk_compute_queue); semaphores.push_back(s_x); - ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], VK_NULL_HANDLE, {}, { s_x }); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); } + ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + // convert src1 to fp16 // TODO: use multiple threads ggml_fp16_t * const tmp = (ggml_fp16_t *) wdata + (ne11 * ne10) * (i03 * ne02 + i02); @@ -1102,27 +1119,28 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } } } - ggml_vk_buffer_write_async(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1], VK_NULL_HANDLE, {}, { s_y }); + + transfer_1_seqs.push_back(ggml_vk_buffer_write_async(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1], {}, { s_y })); // compute - vk::Semaphore s_mm = vk_device.createSemaphore({}); - vk_compute_queue.semaphores.push_back(s_mm); - ggml_vk_matmul(vk_pipeline_matmul_f16, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, VK_NULL_HANDLE, std::vector(semaphores), { s_mm }); + vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); + compute_seqs.push_back(ggml_vk_matmul(vk_pipeline_matmul_f16, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0], fence, { s_mm }, {}); + transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0], { s_mm }, {})); - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_f16 waitForFences"); - vk_device.resetFences({fence}); + ggml_vk_submit(vk_transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_compute_queue, compute_seqs, VK_NULL_HANDLE); } } - vk_device.destroyFence(fence); + ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - ggml_vk_queue_cleanup(vk_compute_queue); + // cleanup waits for the queue to be done ggml_vk_queue_cleanup(vk_transfer_queues[0]); ggml_vk_queue_cleanup(vk_transfer_queues[1]); + ggml_vk_queue_cleanup(vk_compute_queue); if (src0->backend != GGML_BACKEND_GPU) { ggml_vk_pool_free(d_X); @@ -1169,30 +1187,37 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // vk_pipeline* dmmv = ggml_get_dequantize_mul_mat_vec_vk(type); GGML_ASSERT(to_fp32_vk != nullptr); - vk::Fence fence = vk_device.createFence(vk::FenceCreateFlags{}); + std::vector compute_seqs; + std::vector transfer_0_seqs; + std::vector transfer_1_seqs; for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { vk::Semaphore s_x; - vk::Semaphore s_y = vk_device.createSemaphore({}); - std::vector semaphores_q; - std::vector semaphores = { s_y }; - vk_compute_queue.semaphores.push_back(s_y); + vk::Semaphore s_y = ggml_vk_create_semaphore(vk_compute_queue); + vk::Semaphore s_q = ggml_vk_create_semaphore(vk_compute_queue); + + std::vector semaphores = { s_q, s_y }; + std::vector q_semaphores; - vk::Semaphore s_mm = vk_device.createSemaphore({}); - vk_compute_queue.semaphores.push_back(s_mm); + vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); // copy src0 to device if necessary if (src0->backend == GGML_BACKEND_CPU) { - s_x = vk_device.createSemaphore({}); - vk_compute_queue.semaphores.push_back(s_x); - semaphores_q.push_back(s_x); - ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0], VK_NULL_HANDLE, {}, { s_x }); + s_x = ggml_vk_create_semaphore(vk_compute_queue); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); + q_semaphores.push_back(s_x); } else if (src0->backend == GGML_BACKEND_GPU) { d_Q = *(vk_buffer *) src0->data; } else { GGML_ASSERT(false); } + + ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + + // copy src1 to device + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], {}, { s_y })); + if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel GGML_ASSERT(false); // // copy src1 to device @@ -1211,34 +1236,29 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // VK_CHECK(vkSetKernelArg(*dmmv, 4, sizeof(vk_int), &ncols)); // VK_CHECK(vkEnqueueNDRangeKernel(queue, *dmmv, 1, NULL, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++)); } else { // general dequantization kernel + VK matrix matrix multiplication - // convert src0 to fp32 on device - vk::CommandBuffer cmd_buffer = ggml_vk_cmd_buffer_create(vk_compute_queue); - vk::Semaphore s_q = vk_device.createSemaphore({}); - vk_compute_queue.semaphores.push_back(s_q); - semaphores.push_back(s_q); - ggml_vk_dispatch_pipeline(*to_fp32_vk, {&d_Q, &d_X}, { (int)x_ne }, { (uint32_t)x_ne, 1, 1}, cmd_buffer, VK_NULL_HANDLE, std::vector(semaphores_q), { s_q }); - // copy src1 to device - ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], VK_NULL_HANDLE, {}, { s_y }); + // convert src0 to fp32 on device + compute_seqs.push_back({ ggml_vk_submit_pipeline(*to_fp32_vk, {&d_Q, &d_X}, { (int)x_ne }, { (uint32_t)x_ne, 1, 1}, vk_compute_queue, std::move(q_semaphores), { s_q }) }); // compute - ggml_vk_matmul(vk_pipeline_matmul_f32, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, VK_NULL_HANDLE, std::vector(semaphores), { s_mm }); + compute_seqs.push_back(ggml_vk_matmul(vk_pipeline_matmul_f32, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); } // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0], fence, { s_mm }, {}); + transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0], { s_mm }, {})); - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "matmul_q_f32 matmul waitForFences"); - vk_device.resetFences({ fence }); + ggml_vk_submit(vk_transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_compute_queue, compute_seqs, VK_NULL_HANDLE); } } - vk_device.destroyFence(fence); + ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - ggml_vk_queue_cleanup(vk_compute_queue); + // cleanup waits for the queue to be done ggml_vk_queue_cleanup(vk_transfer_queues[0]); ggml_vk_queue_cleanup(vk_transfer_queues[1]); + ggml_vk_queue_cleanup(vk_compute_queue); if (!mul_mat_vec) { ggml_vk_pool_free(d_X); @@ -1391,12 +1411,16 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp vk_transfer_queues[0].queue.waitIdle(); vk_transfer_queues[1].queue.waitIdle(); + std::vector seq; + auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - ggml_vk_matmul(vk_pipeline_matmul_f32, d_X, d_Y, d_D, m, n, k, split_k, VK_NULL_HANDLE, {}, {}); + seq.push_back(ggml_vk_matmul(vk_pipeline_matmul_f32, d_X, d_Y, d_D, m, n, k, split_k, vk_compute_queue, {}, {})); } + ggml_vk_submit(vk_compute_queue, seq, VK_NULL_HANDLE); + vk_compute_queue.queue.waitIdle(); auto end = std::chrono::high_resolution_clock::now(); @@ -1424,9 +1448,9 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp free(d_chk); - ggml_vk_queue_cleanup(vk_compute_queue); ggml_vk_queue_cleanup(vk_transfer_queues[0]); ggml_vk_queue_cleanup(vk_transfer_queues[1]); + ggml_vk_queue_cleanup(vk_compute_queue); ggml_vk_pool_free(d_X); ggml_vk_pool_free(d_Y); @@ -1469,12 +1493,16 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp vk_transfer_queues[0].queue.waitIdle(); vk_transfer_queues[1].queue.waitIdle(); + std::vector seq; + auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - ggml_vk_matmul(vk_pipeline_matmul_f16, d_X, d_Y, d_D, m, n, k, split_k, VK_NULL_HANDLE, {}, {}); + seq.push_back(ggml_vk_matmul(vk_pipeline_matmul_f16, d_X, d_Y, d_D, m, n, k, split_k, vk_compute_queue, {}, {})); } + ggml_vk_submit(vk_compute_queue, seq, VK_NULL_HANDLE); + vk_compute_queue.queue.waitIdle(); auto end = std::chrono::high_resolution_clock::now(); @@ -1509,9 +1537,9 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp free(fy); free(d_chk); - ggml_vk_queue_cleanup(vk_compute_queue); ggml_vk_queue_cleanup(vk_transfer_queues[0]); ggml_vk_queue_cleanup(vk_transfer_queues[1]); + ggml_vk_queue_cleanup(vk_compute_queue); ggml_vk_pool_free(d_X); ggml_vk_pool_free(d_Y); From 8dd585e8cb0520d834ba7d138c1fc9e8e2b1e721 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 9 Jul 2023 15:50:28 +0200 Subject: [PATCH 037/142] Variable matmul kernel using specialization constants --- ggml-vulkan.cpp | 136 ++++++++++++++++++++++++++++++------- vk_shaders/matmul_f16.glsl | 20 +++--- vk_shaders/matmul_f32.glsl | 20 +++--- 3 files changed, 133 insertions(+), 43 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 2f795d4256f92..4542f33c5e0fe 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -122,7 +122,8 @@ vk_queue vk_compute_queue; vk_queue vk_transfer_queues[VK_TRANSFER_QUEUE_COUNT]; VmaAllocator vk_allocator; vk::PipelineStageFlags vk_stage_flags[8] = { vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands }; -vk_pipeline vk_pipeline_matmul_f32, vk_pipeline_matmul_f16, vk_pipeline_matmul_split_k_reduce; +vk_pipeline vk_pipeline_matmul_f32_l, vk_pipeline_matmul_f32_m, vk_pipeline_matmul_f32_s, vk_pipeline_matmul_f16_l, vk_pipeline_matmul_f16_m, vk_pipeline_matmul_f16_s; +vk_pipeline vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; vk::Buffer vk_buffer_qa, vk_buffer_a, vk_buffer_b, vk_buffer_c; @@ -131,7 +132,7 @@ bool vk_fp16_support = false; static std::vector> vk_buf_list; -static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_count, std::array wg_denoms) { +static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_count, std::array wg_denoms, std::vector&& specialization_constants) { GGML_ASSERT(parameter_count > 0); GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); @@ -195,11 +196,27 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), pipeline.dsl, pcr); pipeline.layout = vk_device.createPipelineLayout(pipeline_layout_create_info); + std::vector specialization_entries(specialization_constants.size()); + + for (size_t i = 0; i < specialization_constants.size(); i++) { + specialization_entries[i].constantID = i; + specialization_entries[i].offset = i * sizeof(int); + specialization_entries[i].size = sizeof(int); + } + + vk::SpecializationInfo specialization_info( + specialization_entries.size(), + specialization_entries.data(), + specialization_constants.size() * sizeof(int), + specialization_constants.data() + ); + vk::PipelineShaderStageCreateInfo pipeline_shader_create_info( vk::PipelineShaderStageCreateFlags(), vk::ShaderStageFlagBits::eCompute, shader_module, - entrypoint.c_str()); + entrypoint.c_str(), + &specialization_info); vk::ComputePipelineCreateInfo compute_pipeline_create_info( vk::PipelineCreateFlags(), pipeline_shader_create_info, @@ -418,8 +435,8 @@ static void ggml_vk_destroy_buffer(vk_buffer& buf) { } void ggml_vk_test_transfer(size_t ne); -void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k); -void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int split_k); +void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); +void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); void ggml_vk_init(void) { char* GGML_VULKAN_DEVICE = getenv("GGML_VULKAN_DEVICE"); @@ -526,15 +543,24 @@ void ggml_vk_init(void) { vmaCreateAllocator(&allocator_info, &vk_allocator); + // Prepare matmul values + auto warptile_l = { 128, 128, 128, 16, 64, 64, 2, 4, 4 }; + auto warptile_m = { 128, 64, 64, 16, 32, 32, 2, 4, 2 }; + auto warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; + // Shaders - vk_pipeline_matmul_f32 = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7, {64, 64, 1}); + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7, {128, 128, 1}, warptile_l); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7, { 64, 64, 1}, warptile_m); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7, { 32, 32, 1}, warptile_s); if (vk_fp16_support) { - vk_pipeline_matmul_f16 = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7, {64, 64, 1}); + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7, {128, 128, 1}, warptile_l); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7, { 64, 64, 1}, warptile_m); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7, { 32, 32, 1}, warptile_s); } - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 3, {32, 32, 1}); + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 3, {32, 32, 1}, {}); - vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 1, {64, 1, 1}); - vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 1, {32, 1, 1}); + vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 1, {64, 1, 1}, {}); + vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 1, {32, 1, 1}, {}); // Queues vk_compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0); @@ -566,10 +592,21 @@ void ggml_vk_init(void) { 128, 512, 512, }; for (size_t i = 0; i < vals.size(); i += 3) { - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 1); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 1); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 4); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 4); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 1, 0); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 4, 0); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 1, 1); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 4, 1); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 1, 2); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 4, 2); + std::cerr << std::endl; + + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 1, 0); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 4, 0); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 1, 1); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 4, 1); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 1, 2); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 4, 2); + std::cerr << std::endl << std::endl; } #endif } @@ -945,6 +982,26 @@ static int ggml_vk_guess_split_k(int m, int n, int k) { return 1; } +static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16, int m, int n) { + if (bit16) { + if (m <= 32 || n <= 32) { + return &vk_pipeline_matmul_f16_s; + } + if (m <= 64 || n <= 64) { + return &vk_pipeline_matmul_f16_m; + } + return &vk_pipeline_matmul_f16_l; + } + + if (m <= 32 || n <= 32) { + return &vk_pipeline_matmul_f32_s; + } + if (m <= 64 || n <= 64) { + return &vk_pipeline_matmul_f32_m; + } + return &vk_pipeline_matmul_f32_l; +} + static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_buffer& a, vk_buffer& b, vk_buffer& d, int m, int n, int k, int split_k, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { if (split_k == 1) { return { ggml_vk_submit_pipeline(pipeline, { &a, &b, &d }, { m, n, k, k, k, m, k }, { (uint32_t)m, (uint32_t)n, 1 }, q, std::move(wait_semaphores), std::move(signal_semaphores)) }; @@ -976,6 +1033,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const int d_ne = ne11 * ne01; const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); + vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, ne01, ne11); vk_buffer d_X; vk_buffer d_Y; @@ -1011,7 +1069,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr // compute vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(vk_pipeline_matmul_f32, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); @@ -1063,6 +1121,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr const int d_ne = ne11 * ne01; const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); + vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, ne01, ne11); vk_buffer d_X; vk_buffer d_Y; @@ -1124,7 +1183,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr // compute vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(vk_pipeline_matmul_f16, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); @@ -1169,6 +1228,7 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * const size_t q_sz = ggml_type_size(type) * x_ne / ggml_blck_size(type); const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); + vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, ne01, ne11); vk_buffer d_X; vk_buffer d_Y; @@ -1241,7 +1301,7 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * compute_seqs.push_back({ ggml_vk_submit_pipeline(*to_fp32_vk, {&d_Q, &d_X}, { (int)x_ne }, { (uint32_t)x_ne, 1, 1}, vk_compute_queue, std::move(q_semaphores), { s_q }) }); // compute - compute_seqs.push_back(ggml_vk_matmul(vk_pipeline_matmul_f32, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); } // copy dst to host @@ -1381,7 +1441,7 @@ void ggml_vk_test_transfer(size_t ne) { free(x); free(y); } -void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k) { +void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size) { const size_t x_ne = m * k; const size_t y_ne = k * n; const size_t d_ne = m * n; @@ -1413,10 +1473,25 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp std::vector seq; + vk_pipeline * p; + std::string shname; + if (shader_size == 0) { + p = &vk_pipeline_matmul_f32_s; + shname = "F32_S"; + } else if (shader_size == 1) { + p = &vk_pipeline_matmul_f32_m; + shname = "F32_M"; + } else if (shader_size == 2) { + p = &vk_pipeline_matmul_f32_l; + shname = "F32_L"; + } else { + GGML_ASSERT(0); + } + auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(vk_pipeline_matmul_f32, d_X, d_Y, d_D, m, n, k, split_k, vk_compute_queue, {}, {})); + seq.push_back(ggml_vk_matmul(*p, d_X, d_Y, d_D, m, n, k, split_k, vk_compute_queue, {}, {})); } ggml_vk_submit(vk_compute_queue, seq, VK_NULL_HANDLE); @@ -1444,7 +1519,7 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp } } - std::cout << "TEST FP32 m=" << m << " n=" << n << " k=" << k << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err / (m * n) << std::endl; + std::cerr << "TEST " << shname << " m=" << m << " n=" << n << " k=" << k << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err / (m * n) << std::endl; free(d_chk); @@ -1461,7 +1536,7 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp free(d); } -void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int split_k) { +void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size) { if (!vk_fp16_support) { return; } @@ -1495,10 +1570,25 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp std::vector seq; + vk_pipeline * p; + std::string shname; + if (shader_size == 0) { + p = &vk_pipeline_matmul_f16_s; + shname = "F16_S"; + } else if (shader_size == 1) { + p = &vk_pipeline_matmul_f16_m; + shname = "F16_M"; + } else if (shader_size == 2) { + p = &vk_pipeline_matmul_f16_l; + shname = "F16_L"; + } else { + GGML_ASSERT(0); + } + auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(vk_pipeline_matmul_f16, d_X, d_Y, d_D, m, n, k, split_k, vk_compute_queue, {}, {})); + seq.push_back(ggml_vk_matmul(*p, d_X, d_Y, d_D, m, n, k, split_k, vk_compute_queue, {}, {})); } ggml_vk_submit(vk_compute_queue, seq, VK_NULL_HANDLE); @@ -1531,7 +1621,7 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp } } - std::cout << "TEST FP16 m=" << m << " n=" << n << " k=" << k << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err / (m * n) << std::endl; + std::cerr << "TEST " << shname << " m=" << m << " n=" << n << " k=" << k << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err / (m * n) << std::endl; free(fx); free(fy); diff --git a/vk_shaders/matmul_f16.glsl b/vk_shaders/matmul_f16.glsl index 4a56ffcffa407..02c88cc0f3af1 100644 --- a/vk_shaders/matmul_f16.glsl +++ b/vk_shaders/matmul_f16.glsl @@ -1,20 +1,11 @@ #version 450 -#define BM 64 -#define BN 64 -#define BK 16 -#define WM 32 -#define WN 32 -#define WMITER 2 -#define TM 4 -#define TN 2 - #define WARP 32 #extension GL_EXT_control_flow_attributes : enable #extension GL_EXT_shader_explicit_arithmetic_types_float16 : require -layout(local_size_x = 128, local_size_y = 1, local_size_z = 1) in; +layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer A { float16_t data_a[]; }; layout (binding = 1) readonly buffer B { float16_t data_b[]; }; @@ -31,6 +22,15 @@ layout (push_constant) uniform parameter int k_split; } p; +layout (constant_id = 1) const int BM = 64; +layout (constant_id = 2) const int BN = 64; +layout (constant_id = 3) const int BK = 16; +layout (constant_id = 4) const int WM = 32; +layout (constant_id = 5) const int WN = 32; +layout (constant_id = 6) const int WMITER = 2; +layout (constant_id = 7) const int TM = 4; +layout (constant_id = 8) const int TN = 2; + shared float16_t buf_a[BM * (BK+1)]; shared float16_t buf_b[BN * (BK+1)]; diff --git a/vk_shaders/matmul_f32.glsl b/vk_shaders/matmul_f32.glsl index c461685d08483..5cc268f355965 100644 --- a/vk_shaders/matmul_f32.glsl +++ b/vk_shaders/matmul_f32.glsl @@ -1,19 +1,10 @@ #version 450 -#define BM 64 -#define BN 64 -#define BK 16 -#define WM 32 -#define WN 32 -#define WMITER 2 -#define TM 4 -#define TN 2 - #define WARP 32 #extension GL_EXT_control_flow_attributes : enable -layout(local_size_x = 128, local_size_y = 1, local_size_z = 1) in; +layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer A { float data_a[]; }; layout (binding = 1) readonly buffer B { float data_b[]; }; @@ -30,6 +21,15 @@ layout (push_constant) uniform parameter int k_split; } p; +layout (constant_id = 1) const int BM = 64; +layout (constant_id = 2) const int BN = 64; +layout (constant_id = 3) const int BK = 16; +layout (constant_id = 4) const int WM = 32; +layout (constant_id = 5) const int WN = 32; +layout (constant_id = 6) const int WMITER = 2; +layout (constant_id = 7) const int TM = 4; +layout (constant_id = 8) const int TN = 2; + shared float buf_a[BM * (BK+1)]; shared float buf_b[BN * (BK+1)]; From 0c4d841cf1101591da68ae2cdc2ed92d7d37ab62 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 15 Jul 2023 09:06:53 +0200 Subject: [PATCH 038/142] Fix synchronization on AMD, add barriers for buffer ownership transfer, add debug flag and prints --- ggml-vulkan.cpp | 367 +++++++++++++++++++++++++++++------ vk_shaders/dequant_q4_0.glsl | 36 ++-- 2 files changed, 324 insertions(+), 79 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 4542f33c5e0fe..0de498ec3cc0d 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -71,9 +71,11 @@ struct vk_buffer { // Staging buffers vk_buffer * sb_write; vk_buffer * sb_read; + uint32_t qf_owner; }; struct vk_pipeline { + std::string name; vk::DescriptorSetLayout dsl; vk::DescriptorPool descriptor_pool; vk::DescriptorSet descriptor_set; @@ -121,7 +123,7 @@ uint32_t vk_device_vendor_id; vk_queue vk_compute_queue; vk_queue vk_transfer_queues[VK_TRANSFER_QUEUE_COUNT]; VmaAllocator vk_allocator; -vk::PipelineStageFlags vk_stage_flags[8] = { vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands, vk::PipelineStageFlagBits::eAllCommands }; +vk::PipelineStageFlags vk_stage_flags[8] = { vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader }; vk_pipeline vk_pipeline_matmul_f32_l, vk_pipeline_matmul_f32_m, vk_pipeline_matmul_f32_s, vk_pipeline_matmul_f16_l, vk_pipeline_matmul_f16_m, vk_pipeline_matmul_f16_s; vk_pipeline vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; @@ -133,11 +135,15 @@ bool vk_fp16_support = false; static std::vector> vk_buf_list; static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_count, std::array wg_denoms, std::vector&& specialization_constants) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_create_pipeline(" << path << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_count << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants)" << std::endl; +#endif GGML_ASSERT(parameter_count > 0); GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); vk_pipeline pipeline; + pipeline.name = path; pipeline.parameter_count = parameter_count; pipeline.push_constant_size = push_constant_count * sizeof(int); pipeline.wg_denoms = wg_denoms; @@ -227,6 +233,9 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s } static vk::CommandBuffer ggml_vk_create_cmd_buffer(vk_queue& q) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_create_cmd_buffer()" << std::endl; +#endif if (q.cmd_buffers.size() > q.cmd_buffer_idx) { // Reuse command buffer return q.cmd_buffers[q.cmd_buffer_idx++]; @@ -246,6 +255,9 @@ static vk::CommandBuffer ggml_vk_create_cmd_buffer(vk_queue& q) { } static vk_submission ggml_vk_create_submission(vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_create_submission()" << std::endl; +#endif vk_submission s; s.buffer = ggml_vk_create_cmd_buffer(q); s.wait_semaphores = wait_semaphores; @@ -254,10 +266,16 @@ static vk_submission ggml_vk_create_submission(vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_create_sequence_1()" << std::endl; +#endif return { ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)) }; } static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk::Fence fence) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_submit()" << std::endl; +#endif if (sequences.empty()) { return; } @@ -285,39 +303,10 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: sequences.clear(); } -static vk_submission ggml_vk_submit_pipeline(vk_pipeline& pipeline, std::vector buffers, const std::vector&& push_constants, std::array elements, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { - std::vector descriptor_buffer_infos; - std::vector write_descriptor_sets; - for (uint32_t i = 0; i < pipeline.parameter_count; i++) { - descriptor_buffer_infos.push_back({buffers[i]->buffer, 0, buffers[i]->size}); - } - for (uint32_t i = 0; i < pipeline.parameter_count; i++) { - write_descriptor_sets.push_back({pipeline.descriptor_set, i, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &descriptor_buffer_infos[i]}); - } - - vk_device.updateDescriptorSets(write_descriptor_sets, {}); - - vk_submission s; - s.buffer = ggml_vk_create_cmd_buffer(q); - - s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - s.buffer.pushConstants(pipeline.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); - s.buffer.bindPipeline(vk::PipelineBindPoint::eCompute, pipeline.pipeline); - s.buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, - pipeline.layout, - 0, - { pipeline.descriptor_set }, - {}); - s.buffer.dispatch(CEIL_DIV(elements[0], pipeline.wg_denoms[0]), CEIL_DIV(elements[1], pipeline.wg_denoms[1]), CEIL_DIV(elements[2], pipeline.wg_denoms[2])); - s.buffer.end(); - - s.wait_semaphores = wait_semaphores; - s.signal_semaphores = signal_semaphores; - - return s; -} - static uint32_t ggml_vk_find_queue_family_index(std::vector& queue_family_props, const vk::QueueFlags& required, const vk::QueueFlags& avoid, int32_t compute_index, uint32_t min_num_queues) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_find_queue_family_index()" << std::endl; +#endif const uint32_t qfsize = queue_family_props.size(); // Try with avoid preferences first @@ -341,6 +330,13 @@ static uint32_t ggml_vk_find_queue_family_index(std::vector&& buffers, vk_queue& q, vk::AccessFlags src_mask, vk::AccessFlags dst_mask) { + std::vector bmem_barriers; + + uint32_t sfi; + uint32_t dfi; + + for (auto& buf : buffers) { + if (buf.qf_owner != vk::QueueFamilyIgnored && buf.qf_owner != q.queue_family_index) { + sfi = buf.qf_owner; + dfi = q.queue_family_index; + buf.qf_owner = dfi; + } else { + sfi = vk::QueueFamilyIgnored; + dfi = vk::QueueFamilyIgnored; + } + bmem_barriers.push_back({ src_mask, dst_mask, sfi, dfi, buf.buffer, 0, VK_WHOLE_SIZE }); + } + + if (bmem_barriers.empty()) { + return; + } + + cmd_buffer.pipelineBarrier( + vk::PipelineStageFlagBits::eComputeShader, + vk::PipelineStageFlagBits::eComputeShader, + {}, + {}, + bmem_barriers, + {} + ); +} + static void ggml_vk_destroy_buffer(vk_buffer& buf) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_destroy_buffer(" << buf.size << ")" << std::endl; +#endif buf.size = 0; PROFILE("ggml_vk_destroy_buffer", vmaDestroyBuffer(vk_allocator, buf.buffer, buf.allocation); @@ -439,12 +484,17 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); void ggml_vk_init(void) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_init()" << std::endl; +#endif char* GGML_VULKAN_DEVICE = getenv("GGML_VULKAN_DEVICE"); int dev_num = (GGML_VULKAN_DEVICE == NULL ? 0 : atoi(GGML_VULKAN_DEVICE)); vk::ApplicationInfo app_info{ "ggml-vulkan", 1, nullptr, 0, VK_API_VERSION }; const std::vector layers = { - // "VK_LAYER_KHRONOS_validation", +#ifdef VK_VALIDATE + "VK_LAYER_KHRONOS_validation", +#endif }; vk::InstanceCreateInfo instance_create_info(vk::InstanceCreateFlags(), &app_info, layers.size(), layers.data()); vk_instance = vk::createInstance(instance_create_info); @@ -560,7 +610,7 @@ void ggml_vk_init(void) { vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 3, {32, 32, 1}, {}); vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 1, {64, 1, 1}, {}); - vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 1, {32, 1, 1}, {}); + vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 1, {256*32, 1, 1}, {}); // Group size * values per quant group // Queues vk_compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0); @@ -612,6 +662,9 @@ void ggml_vk_init(void) { } static vk_pipeline* ggml_get_to_fp32_vk(ggml_type type) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_get_to_fp32_vk()" << std::endl; +#endif switch (type) { case GGML_TYPE_Q4_0: return &vk_pipeline_dequant_q4_0; @@ -651,6 +704,9 @@ static vk_buffer g_vk_buffer_pool[MAX_VK_BUFFERS]; static std::atomic_flag g_vk_pool_lock = ATOMIC_FLAG_INIT; static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf, VmaAllocationCreateFlags alloc_flags) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_pool_malloc(" << size << ")" << std::endl; +#endif PROFILE("ggml_vk_pool_malloc", scoped_spin_lock lock(g_vk_pool_lock); @@ -687,6 +743,9 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf, VmaAllocationCreate } static void ggml_vk_pool_free(vk_buffer& buffer) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_pool_free(" << buffer.size << ")" << std::endl; +#endif PROFILE("ggml_vk_pool_free", scoped_spin_lock lock(g_vk_pool_lock); @@ -694,6 +753,8 @@ static void ggml_vk_pool_free(vk_buffer& buffer) { vk_buffer& b = g_vk_buffer_pool[i]; if (b.size == 0) { b = buffer; + // Set owning queue family index to ignored to avoid synchronization on next use + b.qf_owner = VK_QUEUE_FAMILY_IGNORED; return; } } @@ -703,6 +764,9 @@ static void ggml_vk_pool_free(vk_buffer& buffer) { } void* ggml_vk_host_malloc(size_t size) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_host_malloc(" << size << ")" << std::endl; +#endif if (getenv("GGML_VK_NO_PINNED") != nullptr) { return nullptr; } @@ -726,6 +790,9 @@ void* ggml_vk_host_malloc(size_t size) { } void ggml_vk_host_free(void* ptr) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_host_free()" << std::endl; +#endif vk_buffer* buf = nullptr; for (size_t i = 0; i < vk_buf_list.size(); i++) { const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); @@ -743,7 +810,55 @@ void ggml_vk_host_free(void* ptr) { ggml_vk_destroy_buffer(*buf); } +static vk_submission ggml_vk_begin_submission(vk_queue& q) { + vk_submission s; + s.buffer = ggml_vk_create_cmd_buffer(q); + s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + + return s; +} + +static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, std::vector&& buffers, const std::vector&& push_constants, std::array elements, vk_queue& q) { + uint32_t wg0 = CEIL_DIV(elements[0], pipeline.wg_denoms[0]); + uint32_t wg1 = CEIL_DIV(elements[1], pipeline.wg_denoms[1]); + uint32_t wg2 = CEIL_DIV(elements[2], pipeline.wg_denoms[2]); +#ifdef VK_DEBUG + std::cerr << "ggml_vk_dispatch_pipeline(" << pipeline.name << ", (" << wg0 << "," << wg1 << "," << wg2 << "))" << std::endl; +#endif + std::vector descriptor_buffer_infos; + std::vector write_descriptor_sets; + for (uint32_t i = 0; i < pipeline.parameter_count; i++) { + descriptor_buffer_infos.push_back({buffers[i].buffer, 0, buffers[i].size}); + } + for (uint32_t i = 0; i < pipeline.parameter_count; i++) { + write_descriptor_sets.push_back({pipeline.descriptor_set, i, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &descriptor_buffer_infos[i]}); + } + + vk_device.updateDescriptorSets(write_descriptor_sets, {}); + + ggml_vk_sync_buffers(s.buffer, std::move(buffers), q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead); + + s.buffer.pushConstants(pipeline.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); + s.buffer.bindPipeline(vk::PipelineBindPoint::eCompute, pipeline.pipeline); + s.buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, + pipeline.layout, + 0, + { pipeline.descriptor_set }, + {}); + s.buffer.dispatch(wg0, wg1, wg2); +} + +static void ggml_vk_end_submission(vk_submission& s, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { + s.buffer.end(); + + s.wait_semaphores = wait_semaphores; + s.signal_semaphores = signal_semaphores; +} + static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; +#endif VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); @@ -778,6 +893,7 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, } s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + ggml_vk_sync_buffers(s.buffer, { *dst }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite); vkCmdCopyBuffer(s.buffer, buf->buffer, dst->buffer, height, slices.data()); s.buffer.end(); return { s }; @@ -799,6 +915,7 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, width * height}; s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + ggml_vk_sync_buffers(s.buffer, { *dst }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite); vkCmdCopyBuffer(s.buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); s.buffer.end(); @@ -810,6 +927,9 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, } static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_buffer_write_2d(" << width << ", " << height << ")" << std::endl; +#endif VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); @@ -831,14 +951,23 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * } static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; +#endif return ggml_vk_buffer_write_2d_async(dst, offset, src, 0, size, 1, q, std::move(wait_semaphores), std::move(signal_semaphores)); } static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_buffer_write(" << size << ")" << std::endl; +#endif ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1, q); } static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_buffer_read_async(" << size << ")" << std::endl; +#endif // Check if dst is pinned memory vk_buffer* buf = nullptr; size_t buf_offset = 0; @@ -864,6 +993,7 @@ static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + ggml_vk_sync_buffers(s.buffer, { *src }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead); vkCmdCopyBuffer(s.buffer, src->buffer, buf->buffer, 1, &buf_copy); s.buffer.end(); @@ -871,6 +1001,9 @@ static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void } static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_buffer_read(" << size << ")" << std::endl; +#endif VkMemoryPropertyFlags mem_prop_flags; vmaGetAllocationMemoryProperties(vk_allocator, src->allocation, &mem_prop_flags); @@ -902,6 +1035,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ std::vector s = { ggml_vk_create_sequence_1(q, {}, {}) }; s[0][0].buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + ggml_vk_sync_buffers(s[0][0].buffer, { *src }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead); vkCmdCopyBuffer(s[0][0].buffer, src->buffer, buf->buffer, 1, &buf_copy); s[0][0].buffer.end(); ggml_vk_submit(q, s, fence); @@ -926,6 +1060,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ vk::CommandBuffer cmd_buffer = ggml_vk_create_cmd_buffer(q); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); + ggml_vk_sync_buffers(cmd_buffer, { *src }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead); vkCmdCopyBuffer(cmd_buffer, src->buffer, src->sb_read->buffer, 1, &buf_copy); cmd_buffer.end(); @@ -945,6 +1080,9 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_h2d_tensor_2d()" << std::endl; +#endif const uint64_t ne0 = src->ne[0]; const uint64_t ne1 = src->ne[1]; const uint64_t nb0 = src->nb[0]; @@ -975,6 +1113,9 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const st } static int ggml_vk_guess_split_k(int m, int n, int k) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_guess_split_k()" << std::endl; +#endif if (k > 128 && (m < 128 || n < 128)) { return 4; } @@ -983,6 +1124,9 @@ static int ggml_vk_guess_split_k(int m, int n, int k) { } static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16, int m, int n) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_guess_matmul_pipeline()" << std::endl; +#endif if (bit16) { if (m <= 32 || n <= 32) { return &vk_pipeline_matmul_f16_s; @@ -1003,20 +1147,37 @@ static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16, int m, int n) { } static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_buffer& a, vk_buffer& b, vk_buffer& d, int m, int n, int k, int split_k, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_matmul(" << m << ", " << n << ", " << k << ")" << std::endl; +#endif + vk_submission s = ggml_vk_begin_submission(q); if (split_k == 1) { - return { ggml_vk_submit_pipeline(pipeline, { &a, &b, &d }, { m, n, k, k, k, m, k }, { (uint32_t)m, (uint32_t)n, 1 }, q, std::move(wait_semaphores), std::move(signal_semaphores)) }; + ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, { m, n, k, k, k, m, k }, { (uint32_t)m, (uint32_t)n, 1 }, q); + ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); + return { s }; } // Synchronize the two submissions - vk::Semaphore semaphore = ggml_vk_create_semaphore(q); - - vk_submission s1 = ggml_vk_submit_pipeline(pipeline, { &a, &b, &d }, { m, n, k, k, k, m, CEIL_DIV(k, split_k) }, { (uint32_t)m * split_k, (uint32_t)n, 1 }, q, std::move(wait_semaphores), { semaphore }); - vk_submission s2 = ggml_vk_submit_pipeline(vk_pipeline_matmul_split_k_reduce, { &d }, { m, n, split_k }, { (uint32_t)m, (uint32_t)n, 1 }, q, { semaphore }, std::move(signal_semaphores)); + ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, { m, n, k, k, k, m, CEIL_DIV(k, split_k) }, { (uint32_t)m * split_k, (uint32_t)n, 1 }, q); + s.buffer.pipelineBarrier( + vk::PipelineStageFlagBits::eComputeShader, + vk::PipelineStageFlagBits::eComputeShader, + {}, + {}, + { + { vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite, vk::QueueFamilyIgnored, vk::QueueFamilyIgnored, d.buffer, 0, VK_WHOLE_SIZE } }, + {} + ); + ggml_vk_dispatch_pipeline(s, vk_pipeline_matmul_split_k_reduce, { d }, { m, n, split_k }, { (uint32_t)m, (uint32_t)n, 1 }, q); + ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); - return { s1, s2 }; + return { s }; } static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_mul_mat_f32()" << std::endl; +#endif const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; const int64_t ne02 = src0->ne[2]; @@ -1050,26 +1211,55 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr std::vector transfer_0_seqs; std::vector transfer_1_seqs; + vk::Semaphore s_it_x; + vk::Semaphore s_it_y; + + const bool load_x = src0->backend != GGML_BACKEND_CPU; + for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { + const bool first = i03 == 0 && i02 == 0; + const bool last = i03 == ne03 - 1 && i02 == ne02 - 1; + vk::Semaphore s_x; vk::Semaphore s_y = ggml_vk_create_semaphore(vk_compute_queue); std::vector semaphores = { s_y }; // copy data to device - if (src0->backend != GGML_BACKEND_GPU) { + if (load_x) { s_x = ggml_vk_create_semaphore(vk_compute_queue); semaphores.push_back(s_x); - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); + if (first) { + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); + } else { + // Wait for previous matmul to be done before writing to the input buffers again + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); + } } ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], {}, { s_y })); + if (first) { + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], {}, { s_y })); + } else { + // Wait for previous matmul to be done before writing to the input buffers again + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], { s_it_y }, { s_y })); + } // compute vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + if (!last) { + if (load_x) { + s_it_x = ggml_vk_create_semaphore(vk_compute_queue); + s_it_y = ggml_vk_create_semaphore(vk_compute_queue); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_x, s_it_y })); + } else { + s_it_y = ggml_vk_create_semaphore(vk_compute_queue); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); + } + } else { + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + } // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); @@ -1095,6 +1285,9 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr } static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, void * wdata) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_mul_mat_f16()" << std::endl; +#endif GGML_ASSERT(vk_fp16_support); GGML_ASSERT(src0->type == GGML_TYPE_F16); @@ -1141,17 +1334,30 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr std::vector transfer_0_seqs; std::vector transfer_1_seqs; + vk::Semaphore s_it_x; + vk::Semaphore s_it_y; + + const bool load_x = src1->backend != GGML_BACKEND_GPU; + for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { + const bool first = i03 == 0 && i02 == 0; + const bool last = i03 == ne03 - 1 && i02 == ne02 - 1; + vk::Semaphore s_x; vk::Semaphore s_y = ggml_vk_create_semaphore(vk_compute_queue); std::vector semaphores = { s_y }; // copy data to device - if (src1->backend != GGML_BACKEND_GPU) { + if (load_x) { s_x = ggml_vk_create_semaphore(vk_compute_queue); semaphores.push_back(s_x); - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); + if (first) { + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); + } else { + // Wait for previous matmul to be done before writing to the input buffers again + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); + } } ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); @@ -1179,11 +1385,27 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } } - transfer_1_seqs.push_back(ggml_vk_buffer_write_async(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1], {}, { s_y })); + if (first) { + transfer_1_seqs.push_back(ggml_vk_buffer_write_async(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1], {}, { s_y })); + } else { + // Wait for previous matmul to be done before writing to the input buffers again + transfer_1_seqs.push_back(ggml_vk_buffer_write_async(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1], { s_it_y }, { s_y })); + } // compute vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + if (!last) { + if (load_x) { + s_it_x = ggml_vk_create_semaphore(vk_compute_queue); + s_it_y = ggml_vk_create_semaphore(vk_compute_queue); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_x, s_it_y })); + } else { + s_it_y = ggml_vk_create_semaphore(vk_compute_queue); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); + } + } else { + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + } // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); @@ -1195,6 +1417,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + // vk_transfer_queues[0].queue.waitIdle(); // cleanup waits for the queue to be done ggml_vk_queue_cleanup(vk_transfer_queues[0]); @@ -1209,6 +1432,9 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_mul_mat_q_f32()" << std::endl; +#endif const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; const int64_t ne02 = src0->ne[2]; @@ -1251,8 +1477,16 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * std::vector transfer_0_seqs; std::vector transfer_1_seqs; + vk::Semaphore s_it_x; + vk::Semaphore s_it_y; + + const bool load_x = src0->backend != GGML_BACKEND_GPU; + for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { + const bool first = i03 == 0 && i02 == 0; + const bool last = i03 == ne03 - 1 && i02 == ne02 - 1; + vk::Semaphore s_x; vk::Semaphore s_y = ggml_vk_create_semaphore(vk_compute_queue); vk::Semaphore s_q = ggml_vk_create_semaphore(vk_compute_queue); @@ -1263,10 +1497,15 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); // copy src0 to device if necessary - if (src0->backend == GGML_BACKEND_CPU) { + if (load_x) { s_x = ggml_vk_create_semaphore(vk_compute_queue); - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); q_semaphores.push_back(s_x); + if (first) { + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); + } else { + // Wait for previous dequant to be done before writing to the input buffers again + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); + } } else if (src0->backend == GGML_BACKEND_GPU) { d_Q = *(vk_buffer *) src0->data; } else { @@ -1276,7 +1515,12 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); // copy src1 to device - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], {}, { s_y })); + if (first) { + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], {}, { s_y })); + } else { + // Wait for previous matmul to be done before writing to the input buffers again + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], { s_it_y }, { s_y })); + } if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel GGML_ASSERT(false); @@ -1298,10 +1542,23 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * } else { // general dequantization kernel + VK matrix matrix multiplication // convert src0 to fp32 on device - compute_seqs.push_back({ ggml_vk_submit_pipeline(*to_fp32_vk, {&d_Q, &d_X}, { (int)x_ne }, { (uint32_t)x_ne, 1, 1}, vk_compute_queue, std::move(q_semaphores), { s_q }) }); + vk_submission s = ggml_vk_begin_submission(vk_compute_queue); + ggml_vk_dispatch_pipeline(s, *to_fp32_vk, {d_Q, d_X}, { (int)x_ne }, { (uint32_t)x_ne, 1, 1}, vk_compute_queue); + if (load_x && !last) { + s_it_x = ggml_vk_create_semaphore(vk_compute_queue); + ggml_vk_end_submission(s, std::move(q_semaphores), { s_q, s_it_x }); + } else { + ggml_vk_end_submission(s, std::move(q_semaphores), { s_q }); + } + compute_seqs.push_back({ s }); // compute - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + if (!last) { + s_it_y = ggml_vk_create_semaphore(vk_compute_queue); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); + } else { + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + } } // copy dst to host diff --git a/vk_shaders/dequant_q4_0.glsl b/vk_shaders/dequant_q4_0.glsl index 29d24b5977d6d..dd9fed0316375 100644 --- a/vk_shaders/dequant_q4_0.glsl +++ b/vk_shaders/dequant_q4_0.glsl @@ -1,5 +1,6 @@ #version 450 +#extension GL_EXT_control_flow_attributes : require #extension GL_EXT_shader_16bit_storage : require #extension GL_EXT_shader_explicit_arithmetic_types_float16 : require #extension GL_EXT_shader_explicit_arithmetic_types_int8 : require @@ -7,7 +8,7 @@ #define QUANT_K 32 #define QUANT_R 2 -layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; struct block_q4_0 { @@ -24,34 +25,21 @@ layout (push_constant) uniform parameter } p; void main() { - const int idx = int(gl_GlobalInvocationID.x); + const int i = int(gl_GlobalInvocationID.x); - const int i = int(gl_WorkGroupID.x * gl_WorkGroupSize.x + gl_LocalInvocationID.x*2); - - if (idx >= p.N) { + if (i >= p.N) { return; } - const int qk = QUANT_K; - const int qr = QUANT_R; - - const int ib = i/qk; // block index - const int iqs = (i%qk)/qr; // quant index - const int iybs = i - i%qk; // y block start index - const int y_offset = qr == 1 ? 1 : qk/2; - - // dequantize - float v0, v1; - const float d = float(x[ib].d); + const block_q4_0 blk = x[i]; - const uint8_t vui = x[ib].qs[iqs]; + const float d = float(blk.d); - const int8_t vi0 = int8_t(vui & 0xF); - const int8_t vi1 = int8_t(vui >> 4); + [[unroll]] for (int j = 0; j < QUANT_K/2; ++j) { + const int x0 = (blk.qs[j] & 0x0F) - 8; + const int x1 = (blk.qs[j] >> 4) - 8; - v0 = (vi0 - 8)*d; - v1 = (vi1 - 8)*d; - - y[iybs + iqs + 0] = v0; - y[iybs + iqs + y_offset] = v1; + y[i*QUANT_K + j + 0 ] = x0*d; + y[i*QUANT_K + j + QUANT_K/2] = x1*d; + } } From ad3d28ee0a1db239c8f52aa6bc3d8c845cad865d Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 15 Jul 2023 09:18:54 +0200 Subject: [PATCH 039/142] Reuse semaphores --- ggml-vulkan.cpp | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 0de498ec3cc0d..ebe12b1d217e0 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -104,6 +104,7 @@ struct vk_queue { vk::CommandPool pool; uint32_t cmd_buffer_idx; std::vector cmd_buffers; + uint32_t semaphore_idx; std::vector semaphores; std::mutex mutex; }; @@ -356,6 +357,7 @@ static vk_queue ggml_vk_create_queue(uint32_t queue_family_index, uint32_t queue q.pool = vk_device.createCommandPool(command_pool_create_info_compute); q.cmd_buffer_idx = 0; + q.semaphore_idx = 0; q.queue = vk_device.getQueue(queue_family_index, queue_index); @@ -366,8 +368,14 @@ static vk::Semaphore ggml_vk_create_semaphore(vk_queue& q) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_semaphore()" << std::endl; #endif + if (q.semaphores.size() > q.semaphore_idx) { + // Reuse semaphore + return q.semaphores[q.semaphore_idx++]; + } + vk::Semaphore semaphore = vk_device.createSemaphore({}); q.semaphores.push_back(semaphore); + q.semaphore_idx++; return semaphore; } @@ -378,10 +386,7 @@ static void ggml_vk_queue_cleanup(vk_queue& q) { #endif q.queue.waitIdle(); - for (auto semaphore : q.semaphores) { - vk_device.destroySemaphore(semaphore); - } - q.semaphores.clear(); + q.semaphore_idx = 0; vk_device.resetCommandPool(q.pool); q.cmd_buffer_idx = 0; From 22a4cb7f03bfb8c881383c15d79c84550f654cc3 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 15 Jul 2023 22:00:47 +0200 Subject: [PATCH 040/142] Handle stage flags during command buffer submission properly --- ggml-vulkan.cpp | 60 ++++++++++++++++++++++++++++++++++++++----------- 1 file changed, 47 insertions(+), 13 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index ebe12b1d217e0..59b58cd128dcf 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -88,13 +88,18 @@ struct vk_pipeline { struct vk_queue { vk_queue() {}; - vk_queue(const vk_queue& b) : queue_family_index(b.queue_family_index), queue(b.queue), pool(b.pool) {} + vk_queue(const vk_queue& b) : queue_family_index(b.queue_family_index), queue(b.queue), pool(b.pool), cmd_buffer_idx(b.cmd_buffer_idx), cmd_buffers(b.cmd_buffers), semaphore_idx(b.semaphore_idx), semaphores(b.semaphores), stage_flags(b.stage_flags) {} vk_queue& operator=(const vk_queue& b) { if (this != &b) { queue_family_index = b.queue_family_index; queue = b.queue; pool = b.pool; + cmd_buffer_idx = b.cmd_buffer_idx; + cmd_buffers = b.cmd_buffers; + semaphore_idx = b.semaphore_idx; + semaphores = b.semaphores; + stage_flags = b.stage_flags; } return *this; } @@ -106,6 +111,9 @@ struct vk_queue { std::vector cmd_buffers; uint32_t semaphore_idx; std::vector semaphores; + + vk::PipelineStageFlags stage_flags; + std::mutex mutex; }; @@ -124,7 +132,6 @@ uint32_t vk_device_vendor_id; vk_queue vk_compute_queue; vk_queue vk_transfer_queues[VK_TRANSFER_QUEUE_COUNT]; VmaAllocator vk_allocator; -vk::PipelineStageFlags vk_stage_flags[8] = { vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader, vk::PipelineStageFlagBits::eComputeShader }; vk_pipeline vk_pipeline_matmul_f32_l, vk_pipeline_matmul_f32_m, vk_pipeline_matmul_f32_s, vk_pipeline_matmul_f16_l, vk_pipeline_matmul_f16_m, vk_pipeline_matmul_f16_s; vk_pipeline vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; @@ -275,20 +282,27 @@ static vk_sequence ggml_vk_create_sequence_1(vk_queue& q, std::vector& sequences, vk::Fence fence) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_submit()" << std::endl; + std::cerr << "ggml_vk_submit(" << q.queue_family_index << ", " << sequences.size() << ")" << std::endl; #endif if (sequences.empty()) { return; } std::vector submit_infos; + int idx = -1; + std::vector> stage_flags; for (const auto& sequence : sequences) { for (const auto& submission : sequence) { + stage_flags.push_back({}); + idx++; + for (size_t i = 0; i < submission.wait_semaphores.size(); i++) { + stage_flags[idx].push_back(q.stage_flags); + } submit_infos.push_back({ (uint32_t) submission.wait_semaphores.size(), submission.wait_semaphores.data(), - vk_stage_flags, + stage_flags[idx].data(), 1, &submission.buffer, (uint32_t) submission.signal_semaphores.size(), @@ -346,7 +360,7 @@ static uint32_t ggml_vk_find_queue_family_index(std::vector&& buffers, vk_queue& q, vk::AccessFlags src_mask, vk::AccessFlags dst_mask) { +static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector&& buffers, vk_queue& q, vk::AccessFlags&& src_mask, vk::AccessFlags&& dst_mask) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_sync_buffers()" << std::endl; +#endif std::vector bmem_barriers; uint32_t sfi; @@ -453,8 +472,8 @@ static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector extensions = { +#ifdef VK_VALIDATE + "VK_EXT_validation_features", +#endif + }; + vk::InstanceCreateInfo instance_create_info(vk::InstanceCreateFlags(), &app_info, layers, extensions); +#ifdef VK_VALIDATE + const std::vector features_enable = { vk::ValidationFeatureEnableEXT::eBestPractices }; + vk::ValidationFeaturesEXT validation_features = { + features_enable, + {}, + }; + validation_features.setPNext(nullptr); + instance_create_info.setPNext(&validation_features); +#endif vk_instance = vk::createInstance(instance_create_info); vk_physical_device = vk_instance.enumeratePhysicalDevices()[dev_num]; @@ -618,9 +651,9 @@ void ggml_vk_init(void) { vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 1, {256*32, 1, 1}, {}); // Group size * values per quant group // Queues - vk_compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0); + vk_compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader }); for (int i = 0; i < VK_TRANSFER_QUEUE_COUNT; i++) { - vk_transfer_queues[i] = ggml_vk_create_queue(transfer_queue_family_index, i); + vk_transfer_queues[i] = ggml_vk_create_queue(transfer_queue_family_index, i, { vk::PipelineStageFlagBits::eTransfer }); } #if defined(VK_CHK_KERNEL) @@ -1164,9 +1197,10 @@ static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_buffer& a, vk_buffer // Synchronize the two submissions ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, { m, n, k, k, k, m, CEIL_DIV(k, split_k) }, { (uint32_t)m * split_k, (uint32_t)n, 1 }, q); + s.buffer.pipelineBarrier( - vk::PipelineStageFlagBits::eComputeShader, - vk::PipelineStageFlagBits::eComputeShader, + q.stage_flags, + q.stage_flags, {}, {}, { From f58fa51fd09131c2b51432ac08a2b5d0f8e9ccba Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 15 Jul 2023 22:46:24 +0200 Subject: [PATCH 041/142] Increase matmul test runs for consistent results --- ggml-vulkan.cpp | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 59b58cd128dcf..fc5e8561037e9 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -680,20 +680,20 @@ void ggml_vk_init(void) { 128, 512, 512, }; for (size_t i = 0; i < vals.size(); i += 3) { - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 1, 0); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 4, 0); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 1, 1); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 4, 1); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 1, 2); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 10, 4, 2); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 0); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 0); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 1); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 1); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 2); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 2); std::cerr << std::endl; - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 1, 0); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 4, 0); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 1, 1); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 4, 1); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 1, 2); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 10, 4, 2); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 0); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 0); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 1); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 1); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 2); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 2); std::cerr << std::endl << std::endl; } #endif From 931a8921de3b0697d292bde05a377d8bab87551a Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 16 Jul 2023 07:55:53 +0200 Subject: [PATCH 042/142] Fix F32 matmul --- ggml-vulkan.cpp | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index fc5e8561037e9..651070da885c5 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1241,7 +1241,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr if (src0->backend == GGML_BACKEND_GPU) { d_X = *(vk_buffer*) src0->data; } else { - ggml_vk_pool_malloc(ggml_type_size(src0->type) * x_ne, &d_X, 0); + ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, 0); } ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, 0); ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); @@ -1253,7 +1253,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr vk::Semaphore s_it_x; vk::Semaphore s_it_y; - const bool load_x = src0->backend != GGML_BACKEND_CPU; + const bool load_x = src0->backend != GGML_BACKEND_GPU; for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { From e4903957ec199b7a93d87dd3920340037c5ef7a1 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 19 Jul 2023 10:13:51 +0200 Subject: [PATCH 043/142] Add vectorized loading and zeropadding for matrix multiplication --- ggml-vulkan.cpp | 490 +++++++++++++++++++++++++---------- vk_shaders/dequant_q4_0.glsl | 18 +- vk_shaders/f16_to_f32.glsl | 12 +- vk_shaders/matmul_f16.glsl | 54 ++-- vk_shaders/matmul_f32.glsl | 46 ++-- 5 files changed, 418 insertions(+), 202 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 651070da885c5..f078f3769ab7f 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -84,6 +84,7 @@ struct vk_pipeline { uint32_t push_constant_size; uint32_t parameter_count; std::array wg_denoms; + uint32_t align; }; struct vk_queue { @@ -142,9 +143,9 @@ bool vk_fp16_support = false; static std::vector> vk_buf_list; -static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_count, std::array wg_denoms, std::vector&& specialization_constants) { +static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_create_pipeline(" << path << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_count << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants)" << std::endl; + std::cerr << "ggml_vk_create_pipeline(" << path << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; #endif GGML_ASSERT(parameter_count > 0); GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); @@ -153,8 +154,9 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s pipeline.name = path; pipeline.parameter_count = parameter_count; - pipeline.push_constant_size = push_constant_count * sizeof(int); + pipeline.push_constant_size = push_constant_size; pipeline.wg_denoms = wg_denoms; + pipeline.align = align; std::vector matmul_shader_contents; if (std::ifstream shader_file{ path, std::ios::binary | std::ios::ate }) { @@ -446,7 +448,7 @@ static vk_buffer ggml_vk_create_buffer(size_t size, VmaAllocationCreateFlags all return buf; } -static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector&& buffers, vk_queue& q, vk::AccessFlags&& src_mask, vk::AccessFlags&& dst_mask) { +static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector&& buffers, vk_queue& q, vk::AccessFlags&& src_mask, vk::AccessFlags&& dst_mask, bool force_sync) { #ifdef VK_DEBUG std::cerr << "ggml_vk_sync_buffers()" << std::endl; #endif @@ -460,11 +462,12 @@ static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector features_enable = { vk::ValidationFeatureEnableEXT::eBestPractices }; + const std::vector features_enable = { vk::ValidationFeatureEnableEXT::eBestPractices, vk::ValidationFeatureEnableEXT::eSynchronizationValidation }; vk::ValidationFeaturesEXT validation_features = { features_enable, {}, @@ -637,18 +641,18 @@ void ggml_vk_init(void) { auto warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; // Shaders - vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7, {128, 128, 1}, warptile_l); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7, { 64, 64, 1}, warptile_m); - vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7, { 32, 32, 1}, warptile_s); + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); if (vk_fp16_support) { - vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7, {128, 128, 1}, warptile_l); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7, { 64, 64, 1}, warptile_m); - vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7, { 32, 32, 1}, warptile_s); + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); } - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 3, {32, 32, 1}, {}); + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); - vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 1, {64, 1, 1}, {}); - vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 1, {256*32, 1, 1}, {}); // Group size * values per quant group + vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); + vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); // Queues vk_compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader }); @@ -657,27 +661,31 @@ void ggml_vk_init(void) { } #if defined(VK_CHK_KERNEL) + ggml_vk_test_buffer_write_zeropad(233, 97, 128); + ggml_vk_test_buffer_write_zeropad(233, 97, 1); + ggml_vk_test_buffer_write_zeropad(256, 128, 1); + int step = 16; for (size_t m = step; m < 64; m += step) { ggml_vk_test_transfer(1024 * 1024 * m); } const std::vector vals { + 128, 110, 622, + 511, 511, 127, + 511, 511, 7, + 511, 511, 17, 49, 49, 128, 128, 49, 49, 4096, 49, 4096, 11008, 49, 4096, 4096, 49, 11008, - 4096, 49, 4096, 32000, 49, 4096, 512, 512, 128, 128, 512, 512, 4096, 512, 4096, 11008, 512, 4096, 4096, 512, 11008, - 4096, 512, 4096, 32000, 512, 4096, - 512, 512, 128, - 128, 512, 512, }; for (size_t i = 0; i < vals.size(); i += 3) { ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 0); @@ -832,11 +840,13 @@ void ggml_vk_host_free(void* ptr) { std::cerr << "ggml_vk_host_free()" << std::endl; #endif vk_buffer* buf = nullptr; + size_t index; for (size_t i = 0; i < vk_buf_list.size(); i++) { const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); if (ptr >= addr && ptr < endr) { buf = &std::get<2>(vk_buf_list[i]); + index = i; break; } } @@ -846,6 +856,8 @@ void ggml_vk_host_free(void* ptr) { } ggml_vk_destroy_buffer(*buf); + + vk_buf_list.erase(vk_buf_list.begin() + index); } static vk_submission ggml_vk_begin_submission(vk_queue& q) { @@ -856,7 +868,7 @@ static vk_submission ggml_vk_begin_submission(vk_queue& q) { return s; } -static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, std::vector&& buffers, const std::vector&& push_constants, std::array elements, vk_queue& q) { +static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, std::vector buffers, size_t push_constant_size, const void* push_constants, std::array elements, vk_queue& q) { uint32_t wg0 = CEIL_DIV(elements[0], pipeline.wg_denoms[0]); uint32_t wg1 = CEIL_DIV(elements[1], pipeline.wg_denoms[1]); uint32_t wg2 = CEIL_DIV(elements[2], pipeline.wg_denoms[2]); @@ -874,9 +886,7 @@ static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, s vk_device.updateDescriptorSets(write_descriptor_sets, {}); - ggml_vk_sync_buffers(s.buffer, std::move(buffers), q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead); - - s.buffer.pushConstants(pipeline.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constants); + s.buffer.pushConstants(pipeline.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constant_size, push_constants); s.buffer.bindPipeline(vk::PipelineBindPoint::eCompute, pipeline.pipeline); s.buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, pipeline.layout, @@ -903,11 +913,11 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, // Buffer is already mapped if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { std::cerr << "ggml_vulkan: buffer_write_async dst buffer is host_visible. Use synchronous write." << std::endl; + GGML_ASSERT(false); } // Check if src is pinned memory vk_buffer* buf = nullptr; size_t buf_offset = 0; - PROFILE("ggml_vk_buffer_write pinned check", for (size_t i = 0; i < vk_buf_list.size(); i++) { const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); @@ -917,22 +927,29 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, break; } } - ); vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); if (buf != nullptr) { // Memory is pinned, use as staging buffer - std::vector slices(height); - for (size_t i = 0; i < height; i++) { - slices[i].srcOffset = buf_offset + i * spitch; - slices[i].dstOffset = offset + i * width; - slices[i].size = width; + std::vector slices(1); + if (width == spitch) { + // Only do single write if stride is equal + slices[0].srcOffset = buf_offset; + slices[0].dstOffset = offset; + slices[0].size = width * height; + } else { + slices.resize(height); + for (size_t i = 0; i < height; i++) { + slices[i].srcOffset = buf_offset + i * spitch; + slices[i].dstOffset = offset + i * width; + slices[i].size = width; + } } s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { *dst }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite); - vkCmdCopyBuffer(s.buffer, buf->buffer, dst->buffer, height, slices.data()); + ggml_vk_sync_buffers(s.buffer, { *dst }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); + s.buffer.copyBuffer(buf->buffer, dst->buffer, slices); s.buffer.end(); return { s }; } @@ -953,12 +970,16 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, width * height}; s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { *dst }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite); + ggml_vk_sync_buffers(s.buffer, { *dst }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); vkCmdCopyBuffer(s.buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); s.buffer.end(); - for (size_t i = 0; i < height; i++) { - memcpy((uint8_t *)dst->sb_write->info.pMappedData + offset + i * width, (const uint8_t *) src + i * spitch, width); + if (width == spitch) { + memcpy(dst->sb_write->info.pMappedData, src, width * height); + } else { + for (size_t i = 0; i < height; i++) { + memcpy((uint8_t *)dst->sb_write->info.pMappedData + offset + i * width, (const uint8_t *) src + i * spitch, width); + } } return { s }; @@ -975,11 +996,9 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { GGML_ASSERT(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); - PROFILE("ggml_vk_buffer_write visible", for (size_t i = 0; i < height; i++) { memcpy((uint8_t *)dst->info.pMappedData + offset + i * width, (const uint8_t *) src + i * spitch, width); } - ); } else { vk::Fence fence = vk_device.createFence({}); std::vector s = { ggml_vk_buffer_write_2d_async(dst, offset, src, spitch, width, height, q, {}, {}) }; @@ -988,6 +1007,112 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * } } +static inline size_t ggml_vk_align_size(size_t width, size_t align) { + return CEIL_DIV(width, align) * align; +} + +static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, size_t align, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_buffer_write_2d_async_zeropad(" << offset << ", " << spitch << ", " << width << ", " << height << ", " << align << ")" << std::endl; +#endif + VkMemoryPropertyFlags mem_prop_flags; + vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); + + // Buffer is already mapped + if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { + std::cerr << "ggml_vulkan: buffer_write_2d_async_zeropad dst buffer is host_visible. Use synchronous write." << std::endl; + GGML_ASSERT(false); + } + // Check if src is pinned memory + vk_buffer* buf = nullptr; + size_t buf_offset = 0; + for (size_t i = 0; i < vk_buf_list.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); + const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); + if (src >= addr && src < endr) { + buf = &std::get<2>(vk_buf_list[i]); + buf_offset = ((const uint8_t *)src) - addr; + break; + } + } + + // Align slices to the value of align + const uint32_t padded_width = ggml_vk_align_size(width, align); + + if (buf != nullptr) { + vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); + + std::vector slices(1); + if (width == padded_width && width == spitch) { + // Only do single write if no padding happens + slices[0].srcOffset = buf_offset; + slices[0].dstOffset = offset; + slices[0].size = width * height; + } else { + slices.resize(height); + for (size_t i = 0; i < height; i++) { + slices[i].srcOffset = buf_offset + i * spitch; + slices[i].dstOffset = offset + i * padded_width; + slices[i].size = width; + } + } + + s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + ggml_vk_sync_buffers(s.buffer, { *dst }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); + if (padded_width > width) { + s.buffer.fillBuffer(dst->buffer, 0, VK_WHOLE_SIZE, 0); + } + s.buffer.pipelineBarrier( + q.stage_flags, + q.stage_flags, + {}, + {}, + { + { vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryWrite, vk::QueueFamilyIgnored, vk::QueueFamilyIgnored, dst->buffer, 0, VK_WHOLE_SIZE } + }, + {} + ); + s.buffer.copyBuffer(buf->buffer, dst->buffer, slices); + s.buffer.end(); + return { s }; + } + + // Staging buffer required, malloc because of async transfer + if (dst->sb_write == nullptr) { + dst->sb_write = new vk_buffer; + *dst->sb_write = ggml_vk_create_buffer(dst->size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_HOST, 0); + } + + vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); + + VkMemoryPropertyFlags mpf_staging; + vmaGetAllocationMemoryProperties(vk_allocator, dst->sb_write->allocation, &mpf_staging); + GGML_ASSERT(mpf_staging & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT); + + vk::BufferCopy buf_copy = { + 0, + offset, + padded_width * height}; + + s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + ggml_vk_sync_buffers(s.buffer, { *dst }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eTransferWrite, false); + s.buffer.copyBuffer(dst->sb_write->buffer, dst->buffer, { buf_copy }); + s.buffer.end(); + + const size_t zeropad = padded_width - width; + + if (width == padded_width && width == spitch) { + memcpy(dst->sb_write->info.pMappedData, src, width * height); + } else { + for (size_t i = 0; i < height; i++) { + memcpy((uint8_t *)dst->sb_write->info.pMappedData + i * padded_width, (const uint8_t *) src + i * spitch, width); + memset((uint8_t *)dst->sb_write->info.pMappedData + i * padded_width + width, 0, zeropad); + } + } + + return { s }; +} + static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; @@ -1031,7 +1156,7 @@ static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { *src }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead); + ggml_vk_sync_buffers(s.buffer, { *src }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead, false); vkCmdCopyBuffer(s.buffer, src->buffer, buf->buffer, 1, &buf_copy); s.buffer.end(); @@ -1073,7 +1198,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ std::vector s = { ggml_vk_create_sequence_1(q, {}, {}) }; s[0][0].buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s[0][0].buffer, { *src }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead); + ggml_vk_sync_buffers(s[0][0].buffer, { *src }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eTransferRead, false); vkCmdCopyBuffer(s[0][0].buffer, src->buffer, buf->buffer, 1, &buf_copy); s[0][0].buffer.end(); ggml_vk_submit(q, s, fence); @@ -1098,7 +1223,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ vk::CommandBuffer cmd_buffer = ggml_vk_create_cmd_buffer(q); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); - ggml_vk_sync_buffers(cmd_buffer, { *src }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead); + ggml_vk_sync_buffers(cmd_buffer, { *src }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eTransferRead, false); vkCmdCopyBuffer(cmd_buffer, src->buffer, src->sb_read->buffer, 1, &buf_copy); cmd_buffer.end(); @@ -1117,7 +1242,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } } -static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, size_t align, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_h2d_tensor_2d()" << std::endl; #endif @@ -1134,10 +1259,11 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const st const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); if (nb0 == ts && nb1 == row_length) { - return ggml_vk_buffer_write_async(dst, offset, x, ne1*nb1, q, std::move(wait_semaphores), std::move(signal_semaphores)); + // return ggml_vk_buffer_write_async(dst, offset, x, ne1*nb1, q, std::move(wait_semaphores), std::move(signal_semaphores)); + return ggml_vk_buffer_write_2d_async_zeropad(dst, offset, x, nb1, row_length, ne1, align, q, std::move(wait_semaphores), std::move(signal_semaphores)); } if (nb0 == ts) { - return ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, ne1, q, std::move(wait_semaphores), std::move(signal_semaphores)); + return ggml_vk_buffer_write_2d_async_zeropad(dst, offset, x, nb1, row_length, ne1, align, q, std::move(wait_semaphores), std::move(signal_semaphores)); } GGML_ASSERT(false); // TODO: also needs handling of staging buffers @@ -1184,30 +1310,26 @@ static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16, int m, int n) { return &vk_pipeline_matmul_f32_l; } -static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_buffer& a, vk_buffer& b, vk_buffer& d, int m, int n, int k, int split_k, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_buffer& a, vk_buffer& b, vk_buffer& d, int m, int n, int k, int stride_a, int stride_b, int stride_d, int split_k, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_matmul(" << m << ", " << n << ", " << k << ")" << std::endl; #endif vk_submission s = ggml_vk_begin_submission(q); + ggml_vk_sync_buffers(s.buffer, { a, b }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); if (split_k == 1) { - ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, { m, n, k, k, k, m, k }, { (uint32_t)m, (uint32_t)n, 1 }, q); + const std::vector pc = { m, n, k, stride_a, stride_b, stride_d, k }; + ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc.size() * sizeof(int), pc.data(), { (uint32_t)m, (uint32_t)n, 1 }, q); ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); return { s }; } // Synchronize the two submissions - ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, { m, n, k, k, k, m, CEIL_DIV(k, split_k) }, { (uint32_t)m * split_k, (uint32_t)n, 1 }, q); - - s.buffer.pipelineBarrier( - q.stage_flags, - q.stage_flags, - {}, - {}, - { - { vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite, vk::QueueFamilyIgnored, vk::QueueFamilyIgnored, d.buffer, 0, VK_WHOLE_SIZE } }, - {} - ); - ggml_vk_dispatch_pipeline(s, vk_pipeline_matmul_split_k_reduce, { d }, { m, n, split_k }, { (uint32_t)m, (uint32_t)n, 1 }, q); + const std::vector pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(stride_a, split_k) }; + ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc1.size() * sizeof(int), pc1.data(), { (uint32_t)m * split_k, (uint32_t)n, 1 }, q); + ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, true); + const std::vector pc2 = { m, n, split_k }; + ggml_vk_dispatch_pipeline(s, vk_pipeline_matmul_split_k_reduce, { d }, pc2.size() * sizeof(int), pc2.data(), { (uint32_t)m, (uint32_t)n, 1 }, q); ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); return { s }; @@ -1215,7 +1337,9 @@ static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_buffer& a, vk_buffer static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_f32()" << std::endl; + std::cerr << "ggml_vk_mul_mat_f32((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; + std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; + std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; #endif const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; @@ -1228,22 +1352,22 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; - const int x_ne = ne01 * ne00; - const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, ne01, ne11); + const int kpad = ggml_vk_align_size(ne10, pipeline->align); + vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; if (src0->backend == GGML_BACKEND_GPU) { d_X = *(vk_buffer*) src0->data; } else { - ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, 0); + ggml_vk_pool_malloc(sizeof(float) * kpad * ne01, &d_X, 0); } - ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, 0); + ggml_vk_pool_malloc(sizeof(float) * kpad * ne11, &d_Y, 0); ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); std::vector compute_seqs; @@ -1268,20 +1392,20 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr s_x = ggml_vk_create_semaphore(vk_compute_queue); semaphores.push_back(s_x); if (first) { - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, pipeline->align * sizeof(float), vk_transfer_queues[0], {}, { s_x })); } else { // Wait for previous matmul to be done before writing to the input buffers again - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, pipeline->align * sizeof(float), vk_transfer_queues[0], { s_it_x }, { s_x })); } } ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); if (first) { - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], {}, { s_y })); + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, pipeline->align * sizeof(float), vk_transfer_queues[1], {}, { s_y })); } else { // Wait for previous matmul to be done before writing to the input buffers again - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], { s_it_y }, { s_y })); + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, pipeline->align * sizeof(float), vk_transfer_queues[1], { s_it_y }, { s_y })); } // compute @@ -1291,13 +1415,13 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr if (load_x) { s_it_x = ggml_vk_create_semaphore(vk_compute_queue); s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_x, s_it_y })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_x, s_it_y })); } else { s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); } } else { - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); } // copy dst to host @@ -1325,14 +1449,15 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, void * wdata) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_f16()" << std::endl; + std::cerr << "ggml_vk_mul_mat_f16((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; + std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; + std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; #endif GGML_ASSERT(vk_fp16_support); GGML_ASSERT(src0->type == GGML_TYPE_F16); GGML_ASSERT(src1->type == GGML_TYPE_F32); - const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; const int64_t ne02 = src0->ne[2]; const int64_t ne03 = src0->ne[3]; @@ -1348,22 +1473,22 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; - const int x_ne = ne01 * ne00; - const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, ne01, ne11); + const int kpad = ggml_vk_align_size(ne10, pipeline->align); + vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; if (src0->backend == GGML_BACKEND_GPU) { d_X = *(vk_buffer*) src0->data; } else { - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, 0); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * ne01, &d_X, 0); } - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, 0); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * ne11, &d_Y, 0); ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); bool src1_cont_rows = nb10 == sizeof(float); @@ -1392,10 +1517,10 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr s_x = ggml_vk_create_semaphore(vk_compute_queue); semaphores.push_back(s_x); if (first) { - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, pipeline->align * sizeof(ggml_fp16_t), vk_transfer_queues[0], {}, { s_x })); } else { // Wait for previous matmul to be done before writing to the input buffers again - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, pipeline->align * sizeof(ggml_fp16_t), vk_transfer_queues[0], { s_it_x }, { s_x })); } } @@ -1403,6 +1528,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr // convert src1 to fp16 // TODO: use multiple threads + // TODO: This memory isn't pinned ggml_fp16_t * const tmp = (ggml_fp16_t *) wdata + (ne11 * ne10) * (i03 * ne02 + i02); char * src1i = (char *) src1->data + i03*nb13 + i02*nb12; if (src1_cont_rows) { @@ -1414,8 +1540,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr ggml_fp32_to_fp16_row((float *) (src1i + i01*nb11), tmp + i01*ne10, ne10); } } - } - else { + } else { for (int64_t i01 = 0; i01 < ne11; i01++) { for (int64_t i00 = 0; i00 < ne10; i00++) { // very slow due to no inlining @@ -1425,10 +1550,10 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } if (first) { - transfer_1_seqs.push_back(ggml_vk_buffer_write_async(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1], {}, { s_y })); + transfer_1_seqs.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * ne10, sizeof(ggml_fp16_t) * ne10, ne11, pipeline->align * sizeof(ggml_fp16_t), vk_transfer_queues[1], {}, { s_y })); } else { // Wait for previous matmul to be done before writing to the input buffers again - transfer_1_seqs.push_back(ggml_vk_buffer_write_async(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1], { s_it_y }, { s_y })); + transfer_1_seqs.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * ne10, sizeof(ggml_fp16_t) * ne10, ne11, pipeline->align * sizeof(ggml_fp16_t), vk_transfer_queues[1], { s_it_y }, { s_y })); } // compute @@ -1437,13 +1562,13 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr if (load_x) { s_it_x = ggml_vk_create_semaphore(vk_compute_queue); s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_x, s_it_y })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_x, s_it_y })); } else { s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); } } else { - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); } // copy dst to host @@ -1456,7 +1581,6 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - // vk_transfer_queues[0].queue.waitIdle(); // cleanup waits for the queue to be done ggml_vk_queue_cleanup(vk_transfer_queues[0]); @@ -1472,7 +1596,9 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_q_f32()" << std::endl; + std::cerr << "ggml_vk_mul_mat_q_f32((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; + std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; + std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; #endif const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; @@ -1495,13 +1621,15 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, ne01, ne11); + const int kpad = ggml_vk_align_size(ne10, pipeline->align); + vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; if (!mul_mat_vec) { - ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, 0); + ggml_vk_pool_malloc(sizeof(float) * kpad * ne01, &d_X, 0); } - ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, 0); + ggml_vk_pool_malloc(sizeof(float) * kpad * ne11, &d_Y, 0); ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); vk_buffer d_Q; if (src0->backend == GGML_BACKEND_CPU) { @@ -1540,10 +1668,10 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * s_x = ggml_vk_create_semaphore(vk_compute_queue); q_semaphores.push_back(s_x); if (first) { - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, 1, vk_transfer_queues[0], {}, { s_x })); } else { // Wait for previous dequant to be done before writing to the input buffers again - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, 1, vk_transfer_queues[0], { s_it_x }, { s_x })); } } else if (src0->backend == GGML_BACKEND_GPU) { d_Q = *(vk_buffer *) src0->data; @@ -1555,10 +1683,10 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // copy src1 to device if (first) { - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], {}, { s_y })); + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, pipeline->align * sizeof(float), vk_transfer_queues[1], {}, { s_y })); } else { // Wait for previous matmul to be done before writing to the input buffers again - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], { s_it_y }, { s_y })); + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, pipeline->align * sizeof(float), vk_transfer_queues[1], { s_it_y }, { s_y })); } if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel @@ -1582,7 +1710,10 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // convert src0 to fp32 on device vk_submission s = ggml_vk_begin_submission(vk_compute_queue); - ggml_vk_dispatch_pipeline(s, *to_fp32_vk, {d_Q, d_X}, { (int)x_ne }, { (uint32_t)x_ne, 1, 1}, vk_compute_queue); + const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, kpad }; + ggml_vk_sync_buffers(s.buffer, { d_Q }, vk_compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { d_X }, vk_compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *to_fp32_vk, {d_Q, d_X}, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}, vk_compute_queue); if (load_x && !last) { s_it_x = ggml_vk_create_semaphore(vk_compute_queue); ggml_vk_end_submission(s, std::move(q_semaphores), { s_q, s_it_x }); @@ -1594,9 +1725,9 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // compute if (!last) { s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); } else { - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); } } @@ -1730,7 +1861,7 @@ void ggml_vk_test_transfer(size_t ne) { double kb = ne * sizeof(float) / 1024.0; - std::cout << "TEST TRANSFER " << kb << " KB to_gpu " << ms_to_gpu << "ms (" << kb / ms_to_gpu * 1000.0 / 1024.0 << " MB/s) from_gpu " << ms_from_gpu << "ms (" << kb / ms_from_gpu * 1000.0 / 1024.0 << " MB/s) avg_err=" << avg_err / ne << std::endl; + std::cerr << "TEST TRANSFER " << kb << " KB to_gpu " << ms_to_gpu << "ms (" << kb / ms_to_gpu * 1000.0 / 1024.0 << " MB/s) from_gpu " << ms_from_gpu << "ms (" << kb / ms_from_gpu * 1000.0 / 1024.0 << " MB/s) avg_err=" << avg_err / ne << std::endl; ggml_vk_destroy_buffer(buffer); @@ -1742,11 +1873,30 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp const size_t y_ne = k * n; const size_t d_ne = m * n; + std::vector seq; + + vk_pipeline * p; + std::string shname; + if (shader_size == 0) { + p = &vk_pipeline_matmul_f32_s; + shname = "F32_S"; + } else if (shader_size == 1) { + p = &vk_pipeline_matmul_f32_m; + shname = "F32_M"; + } else if (shader_size == 2) { + p = &vk_pipeline_matmul_f32_l; + shname = "F32_L"; + } else { + GGML_ASSERT(0); + } + + const size_t kpad = ggml_vk_align_size(k, p->align); + vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, 0); - ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, 0); + ggml_vk_pool_malloc(sizeof(float) * kpad * m, &d_X, 0); + ggml_vk_pool_malloc(sizeof(float) * kpad * n, &d_Y, 0); ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); float* x = (float *) malloc(sizeof(float) * x_ne); @@ -1760,34 +1910,18 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp y[i] = rand() / (float)RAND_MAX; } - ggml_vk_buffer_write(&d_X, 0, x, sizeof(float) * x_ne, vk_transfer_queues[0]); - ggml_vk_buffer_write(&d_Y, 0, y, sizeof(float) * y_ne, vk_transfer_queues[1]); + seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_X, 0, x, sizeof(float) * k, sizeof(float) * k, m, sizeof(float) * p->align, vk_transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_Y, 0, y, sizeof(float) * k, sizeof(float) * k, n, sizeof(float) * p->align, vk_transfer_queues[0], {}, {})); + + ggml_vk_submit(vk_transfer_queues[0], seq, VK_NULL_HANDLE); // Wait for transfers to finish vk_transfer_queues[0].queue.waitIdle(); - vk_transfer_queues[1].queue.waitIdle(); - - std::vector seq; - - vk_pipeline * p; - std::string shname; - if (shader_size == 0) { - p = &vk_pipeline_matmul_f32_s; - shname = "F32_S"; - } else if (shader_size == 1) { - p = &vk_pipeline_matmul_f32_m; - shname = "F32_M"; - } else if (shader_size == 2) { - p = &vk_pipeline_matmul_f32_l; - shname = "F32_L"; - } else { - GGML_ASSERT(0); - } auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, d_X, d_Y, d_D, m, n, k, split_k, vk_compute_queue, {}, {})); + seq.push_back(ggml_vk_matmul(*p, d_X, d_Y, d_D, m, n, k, kpad, kpad, m, split_k, vk_compute_queue, {}, {})); } ggml_vk_submit(vk_compute_queue, seq, VK_NULL_HANDLE); @@ -1840,11 +1974,30 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp const size_t y_ne = k * n; const size_t d_ne = m * n; + std::vector seq; + + vk_pipeline * p; + std::string shname; + if (shader_size == 0) { + p = &vk_pipeline_matmul_f16_s; + shname = "F16_S"; + } else if (shader_size == 1) { + p = &vk_pipeline_matmul_f16_m; + shname = "F16_M"; + } else if (shader_size == 2) { + p = &vk_pipeline_matmul_f16_l; + shname = "F16_L"; + } else { + GGML_ASSERT(0); + } + + const size_t kpad = ggml_vk_align_size(k, p->align); + vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, 0); - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, 0); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * m, &d_X, 0); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * n, &d_Y, 0); ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * x_ne); @@ -1858,33 +2011,18 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp y[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); } - ggml_vk_buffer_write(&d_X, 0, x, sizeof(ggml_fp16_t) * x_ne, vk_transfer_queues[0]); - ggml_vk_buffer_write(&d_Y, 0, y, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1]); + seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, sizeof(ggml_fp16_t) * p->align, vk_transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_Y, 0, y, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, n, sizeof(ggml_fp16_t) * p->align, vk_transfer_queues[0], {}, {})); - vk_transfer_queues[0].queue.waitIdle(); - vk_transfer_queues[1].queue.waitIdle(); - - std::vector seq; + ggml_vk_submit(vk_transfer_queues[0], seq, VK_NULL_HANDLE); - vk_pipeline * p; - std::string shname; - if (shader_size == 0) { - p = &vk_pipeline_matmul_f16_s; - shname = "F16_S"; - } else if (shader_size == 1) { - p = &vk_pipeline_matmul_f16_m; - shname = "F16_M"; - } else if (shader_size == 2) { - p = &vk_pipeline_matmul_f16_l; - shname = "F16_L"; - } else { - GGML_ASSERT(0); - } + // Wait for transfers to finish + vk_transfer_queues[0].queue.waitIdle(); auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, d_X, d_Y, d_D, m, n, k, split_k, vk_compute_queue, {}, {})); + seq.push_back(ggml_vk_matmul(*p, d_X, d_Y, d_D, m, n, k, kpad, kpad, m, split_k, vk_compute_queue, {}, {})); } ggml_vk_submit(vk_compute_queue, seq, VK_NULL_HANDLE); @@ -1936,4 +2074,70 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp free(y); free(d); } + +void ggml_vk_test_buffer_write_zeropad(size_t m, size_t k, size_t align) { + std::vector seq; + + const size_t kpad = ggml_vk_align_size(k, align); + + vk_buffer d_X; + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * m, &d_X, 0); + vk_buffer d_X2; + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * k * m, &d_X2, 0); + + ggml_fp16_t* x = (ggml_fp16_t *) ggml_vk_host_malloc(sizeof(ggml_fp16_t) * m * k); + + for (size_t i = 0; i < m * k; i++) { + x[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); + } + + seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, sizeof(ggml_fp16_t) * align, vk_transfer_queues[0], {}, {})); + + ggml_vk_submit(vk_transfer_queues[0], seq, VK_NULL_HANDLE); + + ggml_vk_buffer_write(&d_X2, 0, x, sizeof(ggml_fp16_t) * k * m, vk_transfer_queues[0]); + + vk_transfer_queues[0].queue.waitIdle(); + + ggml_fp16_t * x_chk = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * kpad * m); + ggml_fp16_t * x_chk2 = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * k * m); + + ggml_vk_buffer_read(&d_X, 0, x_chk, sizeof(ggml_fp16_t) * kpad * m, vk_transfer_queues[0]); + ggml_vk_buffer_read(&d_X2, 0, x_chk2, sizeof(ggml_fp16_t) * k * m, vk_transfer_queues[0]); + + double avg_err_async = 0.0; + double avg_err_sync = 0.0; + + for (size_t kidx = 0; kidx < kpad; kidx++) { + for (size_t midx = 0; midx < m; midx++) { + if (kidx < k) { + const float err = std::fabs(ggml_fp16_to_fp32(x[midx * k + kidx]) - ggml_fp16_to_fp32(x_chk[midx * kpad + kidx])); + const float err2 = std::fabs(ggml_fp16_to_fp32(x[midx * k + kidx]) - ggml_fp16_to_fp32(x_chk2[midx * k + kidx])); + if (!std::isnan(err)) { + avg_err_async += err; + } + if (!std::isnan(err2)) { + avg_err_sync += err; + } + + if (err > 0.01f) { + std::cerr << "midx=" << midx << " kidx=" << kidx << " x: " << ggml_fp16_to_fp32(x[midx * k + kidx]) << " x_chk: " << ggml_fp16_to_fp32(x_chk[midx * kpad + kidx]) << " x_chk2: " << ggml_fp16_to_fp32(x_chk2[midx * k + kidx]) << std::endl; + } + } else { + const float val = std::fabs(ggml_fp16_to_fp32(x_chk[midx * kpad + kidx])); + if (val > 0.01f) { + std::cerr << "ZEROPAD ERROR midx=" << midx << " kidx=" << kidx << " src0: 0.0 x_chkidx: " << val << std::endl; + GGML_ASSERT(false); + } + avg_err_async += val; + } + } + } + + std::cerr << "TEST BUFFER WRITE ZEROPAD m=" << m << " k=" << k << " align=" << align << " avg_err_async=" << avg_err_async / (kpad * m) << " avg_err_sync=" << avg_err_sync / (k * m) << std::endl; + + free(x_chk); + ggml_vk_host_free(x); + ggml_vk_pool_free(d_X); +} #endif diff --git a/vk_shaders/dequant_q4_0.glsl b/vk_shaders/dequant_q4_0.glsl index dd9fed0316375..e7db136b35418 100644 --- a/vk_shaders/dequant_q4_0.glsl +++ b/vk_shaders/dequant_q4_0.glsl @@ -21,25 +21,33 @@ layout (binding = 1) writeonly buffer D { float y[]; }; layout (push_constant) uniform parameter { - int N; + int M; + int K; + int stride_a; + int stride_b; } p; void main() { const int i = int(gl_GlobalInvocationID.x); - if (i >= p.N) { + // Transposed + const int row = i % (p.K / QUANT_K); + const int col = i / (p.K / QUANT_K); + + if (row * QUANT_K >= p.K || col >= p.M) { return; } - const block_q4_0 blk = x[i]; + const int stride_a = p.stride_a / QUANT_K; + const block_q4_0 blk = x[col * stride_a + row]; const float d = float(blk.d); [[unroll]] for (int j = 0; j < QUANT_K/2; ++j) { const int x0 = (blk.qs[j] & 0x0F) - 8; const int x1 = (blk.qs[j] >> 4) - 8; - y[i*QUANT_K + j + 0 ] = x0*d; - y[i*QUANT_K + j + QUANT_K/2] = x1*d; + y[col * p.stride_b + row*QUANT_K + j + 0 ] = x0*d; + y[col * p.stride_b + row*QUANT_K + j + QUANT_K/2] = x1*d; } } diff --git a/vk_shaders/f16_to_f32.glsl b/vk_shaders/f16_to_f32.glsl index 8dddee22c959d..1c0658a2c62ba 100644 --- a/vk_shaders/f16_to_f32.glsl +++ b/vk_shaders/f16_to_f32.glsl @@ -9,13 +9,17 @@ layout (binding = 1) writeonly buffer D { float data_b[]; }; layout (push_constant) uniform parameter { - int N; + int M; + int K; + int stride_a; + int stride_b; } p; void main() { - const int idx = int(gl_GlobalInvocationID.x); + const int row = int(gl_GlobalInvocationID.x % p.K); + const int col = int(gl_GlobalInvocationID.x / p.K); - if (idx < p.N) { - data_b[idx] = float(data_a[idx]); + if (row < p.M && col < p.K) { + data_b[col * p.stride_b + row] = float(data_a[col * p.stride_a + row]); } } diff --git a/vk_shaders/matmul_f16.glsl b/vk_shaders/matmul_f16.glsl index 02c88cc0f3af1..2b3d717721d73 100644 --- a/vk_shaders/matmul_f16.glsl +++ b/vk_shaders/matmul_f16.glsl @@ -7,8 +7,8 @@ layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A { float16_t data_a[]; }; -layout (binding = 1) readonly buffer B { float16_t data_b[]; }; +layout (binding = 0) readonly buffer A { f16mat2x4 data_a[]; }; +layout (binding = 1) readonly buffer B { f16mat2x4 data_b[]; }; layout (binding = 2) writeonly buffer D { float data_d[]; }; layout (push_constant) uniform parameter @@ -52,16 +52,16 @@ void main() { const int tiwr = tiw % (WSUBM / TM); const int tiwc = tiw / (WSUBM / TM); - const int loadr = int(gl_LocalInvocationID.x % BK); - const int loadc = int(gl_LocalInvocationID.x / BK); + const int loadr = int(gl_LocalInvocationID.x % (BK / 8)); + const int loadc = int(gl_LocalInvocationID.x / (BK / 8)); - const int loadstride = int(gl_WorkGroupSize.x); + const int loadstride = int(gl_WorkGroupSize.x * 8) / BK; const int start_k = ik * p.k_split; const int end_k = (ik + 1) * p.k_split; - int pos_a = ir * BM * p.stride_a + start_k; - int pos_b = ic * BN * p.stride_b + start_k; + int pos_a = ir * BM * p.stride_a / 8 + start_k / 8; + int pos_b = ic * BN * p.stride_b / 8 + start_k / 8; float sums[WMITER * TM * WNITER * TN]; float16_t cache_a[WMITER * TM]; @@ -72,29 +72,33 @@ void main() { } [[unroll]] for (int block = start_k; block < end_k; block += BK) { - [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; - } else { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; - } + [[unroll]] for (int l = 0; l < BM; l += loadstride) { + f16mat2x4 tmp = data_a[pos_a + (loadc + l) * p.stride_a / 8 + loadr]; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 0] = tmp[0].x; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 1] = tmp[0].y; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 2] = tmp[0].z; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 3] = tmp[0].w; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 4] = tmp[1].x; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 5] = tmp[1].y; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 6] = tmp[1].z; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 7] = tmp[1].w; } - [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; - } else { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; - } + [[unroll]] for (int l = 0; l < BN; l += loadstride) { + f16mat2x4 tmp = data_b[pos_b + (loadc + l) * p.stride_b / 8 + loadr]; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 0] = tmp[0].x; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 1] = tmp[0].y; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 2] = tmp[0].z; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 3] = tmp[0].w; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 4] = tmp[1].x; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 5] = tmp[1].y; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 6] = tmp[1].z; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 7] = tmp[1].w; } barrier(); - pos_a += BK; - pos_b += BK; + pos_a += BK / 8; + pos_b += BK / 8; for (int i = 0; i < min(BK, p.K - block); i++) { // Load from shared into cache diff --git a/vk_shaders/matmul_f32.glsl b/vk_shaders/matmul_f32.glsl index 5cc268f355965..e76c60d432702 100644 --- a/vk_shaders/matmul_f32.glsl +++ b/vk_shaders/matmul_f32.glsl @@ -6,8 +6,8 @@ layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A { float data_a[]; }; -layout (binding = 1) readonly buffer B { float data_b[]; }; +layout (binding = 0) readonly buffer A { vec4 data_a[]; }; +layout (binding = 1) readonly buffer B { vec4 data_b[]; }; layout (binding = 2) writeonly buffer D { float data_d[]; }; layout (push_constant) uniform parameter @@ -51,16 +51,16 @@ void main() { const int tiwr = tiw % (WSUBM / TM); const int tiwc = tiw / (WSUBM / TM); - const int loadr = int(gl_LocalInvocationID.x % BK); - const int loadc = int(gl_LocalInvocationID.x / BK); + const int loadr = int(gl_LocalInvocationID.x % (BK / 4)); + const int loadc = int(gl_LocalInvocationID.x / (BK / 4)); - const int loadstride = int(gl_WorkGroupSize.x); + const int loadstride = int(gl_WorkGroupSize.x * 4) / BK; const int start_k = ik * p.k_split; const int end_k = (ik + 1) * p.k_split; - int pos_a = ir * BM * p.stride_a + start_k; - int pos_b = ic * BN * p.stride_b + start_k; + int pos_a = ir * BM * p.stride_a / 4 + start_k / 4; + int pos_b = ic * BN * p.stride_b / 4 + start_k / 4; float sums[WMITER * TM * WNITER * TN]; float cache_a[WMITER * TM]; @@ -71,29 +71,25 @@ void main() { } [[unroll]] for (int block = start_k; block < end_k; block += BK) { - [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; - } else { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0f; - } + [[unroll]] for (int l = 0; l < BM; l += loadstride) { + vec4 tmp = data_a[pos_a + (loadc + l) * p.stride_a / 4 + loadr]; + buf_a[(loadc + l) * (BK+1) + loadr * 4 + 0] = tmp.x; + buf_a[(loadc + l) * (BK+1) + loadr * 4 + 1] = tmp.y; + buf_a[(loadc + l) * (BK+1) + loadr * 4 + 2] = tmp.z; + buf_a[(loadc + l) * (BK+1) + loadr * 4 + 3] = tmp.w; } - [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; - } else { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0f; - } + [[unroll]] for (int l = 0; l < BN; l += loadstride) { + vec4 tmp = data_b[pos_b + (loadc + l) * p.stride_b / 4 + loadr]; + buf_b[(loadc + l) * (BK+1) + loadr * 4 + 0] = tmp.x; + buf_b[(loadc + l) * (BK+1) + loadr * 4 + 1] = tmp.y; + buf_b[(loadc + l) * (BK+1) + loadr * 4 + 2] = tmp.z; + buf_b[(loadc + l) * (BK+1) + loadr * 4 + 3] = tmp.w; } barrier(); - pos_a += BK; - pos_b += BK; + pos_a += BK / 4; + pos_b += BK / 4; for (int i = 0; i < min(BK, p.K - block); i++) { // Load from shared into cache From 105fd199be59bb5fd2ff574de57a96fea84e1cde Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 19 Jul 2023 21:03:11 +0200 Subject: [PATCH 044/142] Use pinned memory for f16 preprocessing --- ggml-vulkan.cpp | 12 ++++++++---- ggml-vulkan.h | 2 +- ggml.c | 2 +- 3 files changed, 10 insertions(+), 6 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index f078f3769ab7f..6ea80b4e9dc35 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1447,7 +1447,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pool_free(d_D); } -static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, void * wdata) { +static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat_f16((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; @@ -1503,6 +1503,8 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr const bool load_x = src1->backend != GGML_BACKEND_GPU; + ggml_fp16_t * fp16_staging = (ggml_fp16_t *) ggml_vk_host_malloc(sizeof(ggml_fp16_t) * (ne11 * ne10) * (ne02 * ne03)); + for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { const bool first = i03 == 0 && i02 == 0; @@ -1529,7 +1531,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr // convert src1 to fp16 // TODO: use multiple threads // TODO: This memory isn't pinned - ggml_fp16_t * const tmp = (ggml_fp16_t *) wdata + (ne11 * ne10) * (i03 * ne02 + i02); + ggml_fp16_t * const tmp = fp16_staging + (ne11 * ne10) * (i03 * ne02 + i02); char * src1i = (char *) src1->data + i03*nb13 + i02*nb12; if (src1_cont_rows) { if (src1_cont_cols) { @@ -1580,6 +1582,8 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } } + ggml_vk_host_free(fp16_staging); + ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); // cleanup waits for the queue to be done @@ -1795,7 +1799,7 @@ bool ggml_vk_mul_mat_use_f16(const struct ggml_tensor * src0, const struct ggml_ return mul_mat_f16_transfer < mul_mat_q_transfer; } -void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize) { +void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { GGML_ASSERT(ggml_vk_can_mul_mat(src0, src1, dst)); if (src0->type == GGML_TYPE_F32) { @@ -1803,7 +1807,7 @@ void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * } else if (src0->type == GGML_TYPE_F16) { if (ggml_vk_mul_mat_use_f16(src0, src1, dst)) { - ggml_vk_mul_mat_f16(src0, src1, dst, wdata); + ggml_vk_mul_mat_f16(src0, src1, dst); } else { ggml_vk_mul_mat_q_f32(src0, src1, dst); diff --git a/ggml-vulkan.h b/ggml-vulkan.h index 141b6c2f218d7..ece0ec7dfbb57 100644 --- a/ggml-vulkan.h +++ b/ggml-vulkan.h @@ -11,7 +11,7 @@ void ggml_vk_init(void); void ggml_vk_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); size_t ggml_vk_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); -void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize); +void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); void * ggml_vk_host_malloc(size_t size); void ggml_vk_host_free(void * ptr); diff --git a/ggml.c b/ggml.c index 0d3a15a049e03..8c6f2f11fef24 100644 --- a/ggml.c +++ b/ggml.c @@ -10745,7 +10745,7 @@ static void ggml_compute_forward_mul_mat( #elif defined(GGML_USE_VULKAN) if (ggml_vk_can_mul_mat(src0, src1, dst)) { if (params->ith == 0 && params->type == GGML_TASK_COMPUTE) { - ggml_vk_mul_mat(src0, src1, dst, params->wdata, params->wsize); + ggml_vk_mul_mat(src0, src1, dst); } return; } From 9e97cb0baf4d1c3ceb4167e4ee99035d333a2833 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 19 Jul 2023 21:59:03 +0200 Subject: [PATCH 045/142] Don't force aligned matmul --- Makefile | 2 + ggml-vulkan.cpp | 101 +++++++++++-------- vk_shaders/matmul_f16.glsl | 54 +++++------ vk_shaders/matmul_f16_aligned.glsl | 149 +++++++++++++++++++++++++++++ vk_shaders/matmul_f32.glsl | 46 +++++---- vk_shaders/matmul_f32_aligned.glsl | 140 +++++++++++++++++++++++++++ 6 files changed, 402 insertions(+), 90 deletions(-) create mode 100644 vk_shaders/matmul_f16_aligned.glsl create mode 100644 vk_shaders/matmul_f32_aligned.glsl diff --git a/Makefile b/Makefile index 1efda93ef4a8a..3519d52ad8b0a 100644 --- a/Makefile +++ b/Makefile @@ -233,7 +233,9 @@ ifdef LLAMA_VULKAN ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h $(CXX) $(CXXFLAGS) -c $< -o $@ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f32.glsl -o vk_shaders/matmul_f32.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f32_aligned.glsl -o vk_shaders/matmul_f32_aligned.spv glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16.glsl -o vk_shaders/matmul_f16.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16_aligned.glsl -o vk_shaders/matmul_f16_aligned.spv glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_split_k_reduce.glsl -o vk_shaders/matmul_split_k_reduce.spv glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/f16_to_f32.glsl -o vk_shaders/f16_to_f32.spv glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_q4_0.glsl -o vk_shaders/dequant_q4_0.spv diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 6ea80b4e9dc35..9781e286c0d28 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -134,6 +134,7 @@ vk_queue vk_compute_queue; vk_queue vk_transfer_queues[VK_TRANSFER_QUEUE_COUNT]; VmaAllocator vk_allocator; vk_pipeline vk_pipeline_matmul_f32_l, vk_pipeline_matmul_f32_m, vk_pipeline_matmul_f32_s, vk_pipeline_matmul_f16_l, vk_pipeline_matmul_f16_m, vk_pipeline_matmul_f16_s; +vk_pipeline vk_pipeline_matmul_f32_aligned_l, vk_pipeline_matmul_f32_aligned_m, vk_pipeline_matmul_f32_aligned_s, vk_pipeline_matmul_f16_aligned_l, vk_pipeline_matmul_f16_aligned_m, vk_pipeline_matmul_f16_aligned_s; vk_pipeline vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; @@ -644,10 +645,16 @@ void ggml_vk_init(void) { vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); if (vk_fp16_support) { vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); } vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); @@ -1242,7 +1249,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } } -static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, size_t align, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_h2d_tensor_2d()" << std::endl; #endif @@ -1259,11 +1266,10 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const st const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); if (nb0 == ts && nb1 == row_length) { - // return ggml_vk_buffer_write_async(dst, offset, x, ne1*nb1, q, std::move(wait_semaphores), std::move(signal_semaphores)); - return ggml_vk_buffer_write_2d_async_zeropad(dst, offset, x, nb1, row_length, ne1, align, q, std::move(wait_semaphores), std::move(signal_semaphores)); + return ggml_vk_buffer_write_async(dst, offset, x, ne1*nb1, q, std::move(wait_semaphores), std::move(signal_semaphores)); } if (nb0 == ts) { - return ggml_vk_buffer_write_2d_async_zeropad(dst, offset, x, nb1, row_length, ne1, align, q, std::move(wait_semaphores), std::move(signal_semaphores)); + return ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, ne1, q, std::move(wait_semaphores), std::move(signal_semaphores)); } GGML_ASSERT(false); // TODO: also needs handling of staging buffers @@ -1287,27 +1293,40 @@ static int ggml_vk_guess_split_k(int m, int n, int k) { return 1; } -static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16, int m, int n) { +static uint32_t ggml_vk_guess_matmul_pipeline_align(int m, int n) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_guess_matmul_pipeline_padding()" << std::endl; +#endif + if (m <= 32 || n <= 32) { + return vk_pipeline_matmul_f32_s.align; + } + if (m <= 64 || n <= 64) { + return vk_pipeline_matmul_f32_m.align; + } + return vk_pipeline_matmul_f32_l.align; +} + +static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16, int m, int n, bool aligned) { #ifdef VK_DEBUG std::cerr << "ggml_vk_guess_matmul_pipeline()" << std::endl; #endif if (bit16) { if (m <= 32 || n <= 32) { - return &vk_pipeline_matmul_f16_s; + return aligned ? &vk_pipeline_matmul_f16_aligned_s : &vk_pipeline_matmul_f16_s; } if (m <= 64 || n <= 64) { - return &vk_pipeline_matmul_f16_m; + return aligned ? &vk_pipeline_matmul_f16_aligned_m : &vk_pipeline_matmul_f16_m; } - return &vk_pipeline_matmul_f16_l; + return aligned ? &vk_pipeline_matmul_f16_aligned_l : &vk_pipeline_matmul_f16_l; } if (m <= 32 || n <= 32) { - return &vk_pipeline_matmul_f32_s; + return aligned ? &vk_pipeline_matmul_f32_aligned_s : &vk_pipeline_matmul_f32_s; } if (m <= 64 || n <= 64) { - return &vk_pipeline_matmul_f32_m; + return aligned ? &vk_pipeline_matmul_f32_aligned_m : &vk_pipeline_matmul_f32_m; } - return &vk_pipeline_matmul_f32_l; + return aligned ? &vk_pipeline_matmul_f32_aligned_l : &vk_pipeline_matmul_f32_l; } static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_buffer& a, vk_buffer& b, vk_buffer& d, int m, int n, int k, int stride_a, int stride_b, int stride_d, int split_k, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { @@ -1341,7 +1360,6 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; #endif - const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; const int64_t ne02 = src0->ne[2]; const int64_t ne03 = src0->ne[3]; @@ -1355,9 +1373,10 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const int d_ne = ne11 * ne01; const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); - vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, ne01, ne11); - const int kpad = ggml_vk_align_size(ne10, pipeline->align); + const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); + + vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, ne01, ne11, ne10 == kpad); vk_buffer d_X; vk_buffer d_Y; @@ -1392,20 +1411,20 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr s_x = ggml_vk_create_semaphore(vk_compute_queue); semaphores.push_back(s_x); if (first) { - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, pipeline->align * sizeof(float), vk_transfer_queues[0], {}, { s_x })); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); } else { // Wait for previous matmul to be done before writing to the input buffers again - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, pipeline->align * sizeof(float), vk_transfer_queues[0], { s_it_x }, { s_x })); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); } } ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); if (first) { - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, pipeline->align * sizeof(float), vk_transfer_queues[1], {}, { s_y })); + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], {}, { s_y })); } else { // Wait for previous matmul to be done before writing to the input buffers again - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, pipeline->align * sizeof(float), vk_transfer_queues[1], { s_it_y }, { s_y })); + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], { s_it_y }, { s_y })); } // compute @@ -1415,13 +1434,13 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr if (load_x) { s_it_x = ggml_vk_create_semaphore(vk_compute_queue); s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_x, s_it_y })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_x, s_it_y })); } else { s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); } } else { - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); } // copy dst to host @@ -1473,12 +1492,14 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; + const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); - vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, ne01, ne11); - const int kpad = ggml_vk_align_size(ne10, pipeline->align); + const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); + + vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, ne01, ne11, ne10 == kpad); vk_buffer d_X; vk_buffer d_Y; @@ -1519,10 +1540,10 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr s_x = ggml_vk_create_semaphore(vk_compute_queue); semaphores.push_back(s_x); if (first) { - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, pipeline->align * sizeof(ggml_fp16_t), vk_transfer_queues[0], {}, { s_x })); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); } else { // Wait for previous matmul to be done before writing to the input buffers again - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, pipeline->align * sizeof(ggml_fp16_t), vk_transfer_queues[0], { s_it_x }, { s_x })); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); } } @@ -1530,7 +1551,6 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr // convert src1 to fp16 // TODO: use multiple threads - // TODO: This memory isn't pinned ggml_fp16_t * const tmp = fp16_staging + (ne11 * ne10) * (i03 * ne02 + i02); char * src1i = (char *) src1->data + i03*nb13 + i02*nb12; if (src1_cont_rows) { @@ -1552,10 +1572,10 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } if (first) { - transfer_1_seqs.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * ne10, sizeof(ggml_fp16_t) * ne10, ne11, pipeline->align * sizeof(ggml_fp16_t), vk_transfer_queues[1], {}, { s_y })); + transfer_1_seqs.push_back(ggml_vk_buffer_write_async(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1], {}, { s_y })); } else { // Wait for previous matmul to be done before writing to the input buffers again - transfer_1_seqs.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * ne10, sizeof(ggml_fp16_t) * ne10, ne11, pipeline->align * sizeof(ggml_fp16_t), vk_transfer_queues[1], { s_it_y }, { s_y })); + transfer_1_seqs.push_back(ggml_vk_buffer_write_async(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1], { s_it_y }, { s_y })); } // compute @@ -1564,13 +1584,13 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr if (load_x) { s_it_x = ggml_vk_create_semaphore(vk_compute_queue); s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_x, s_it_y })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_x, s_it_y })); } else { s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); } } else { - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); } // copy dst to host @@ -1623,9 +1643,10 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * const size_t q_sz = ggml_type_size(type) * x_ne / ggml_blck_size(type); const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); - vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, ne01, ne11); - const int kpad = ggml_vk_align_size(ne10, pipeline->align); + const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); + + vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, ne01, ne11, ne10 == kpad); vk_buffer d_X; vk_buffer d_Y; @@ -1672,10 +1693,10 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * s_x = ggml_vk_create_semaphore(vk_compute_queue); q_semaphores.push_back(s_x); if (first) { - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, 1, vk_transfer_queues[0], {}, { s_x })); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); } else { // Wait for previous dequant to be done before writing to the input buffers again - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, 1, vk_transfer_queues[0], { s_it_x }, { s_x })); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); } } else if (src0->backend == GGML_BACKEND_GPU) { d_Q = *(vk_buffer *) src0->data; @@ -1687,10 +1708,10 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // copy src1 to device if (first) { - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, pipeline->align * sizeof(float), vk_transfer_queues[1], {}, { s_y })); + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], {}, { s_y })); } else { // Wait for previous matmul to be done before writing to the input buffers again - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, pipeline->align * sizeof(float), vk_transfer_queues[1], { s_it_y }, { s_y })); + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], { s_it_y }, { s_y })); } if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel @@ -1714,7 +1735,7 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // convert src0 to fp32 on device vk_submission s = ggml_vk_begin_submission(vk_compute_queue); - const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, kpad }; + const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; ggml_vk_sync_buffers(s.buffer, { d_Q }, vk_compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); ggml_vk_sync_buffers(s.buffer, { d_X }, vk_compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); ggml_vk_dispatch_pipeline(s, *to_fp32_vk, {d_Q, d_X}, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}, vk_compute_queue); @@ -1729,9 +1750,9 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // compute if (!last) { s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); } else { - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, kpad, kpad, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); } } diff --git a/vk_shaders/matmul_f16.glsl b/vk_shaders/matmul_f16.glsl index 2b3d717721d73..02c88cc0f3af1 100644 --- a/vk_shaders/matmul_f16.glsl +++ b/vk_shaders/matmul_f16.glsl @@ -7,8 +7,8 @@ layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A { f16mat2x4 data_a[]; }; -layout (binding = 1) readonly buffer B { f16mat2x4 data_b[]; }; +layout (binding = 0) readonly buffer A { float16_t data_a[]; }; +layout (binding = 1) readonly buffer B { float16_t data_b[]; }; layout (binding = 2) writeonly buffer D { float data_d[]; }; layout (push_constant) uniform parameter @@ -52,16 +52,16 @@ void main() { const int tiwr = tiw % (WSUBM / TM); const int tiwc = tiw / (WSUBM / TM); - const int loadr = int(gl_LocalInvocationID.x % (BK / 8)); - const int loadc = int(gl_LocalInvocationID.x / (BK / 8)); + const int loadr = int(gl_LocalInvocationID.x % BK); + const int loadc = int(gl_LocalInvocationID.x / BK); - const int loadstride = int(gl_WorkGroupSize.x * 8) / BK; + const int loadstride = int(gl_WorkGroupSize.x); const int start_k = ik * p.k_split; const int end_k = (ik + 1) * p.k_split; - int pos_a = ir * BM * p.stride_a / 8 + start_k / 8; - int pos_b = ic * BN * p.stride_b / 8 + start_k / 8; + int pos_a = ir * BM * p.stride_a + start_k; + int pos_b = ic * BN * p.stride_b + start_k; float sums[WMITER * TM * WNITER * TN]; float16_t cache_a[WMITER * TM]; @@ -72,33 +72,29 @@ void main() { } [[unroll]] for (int block = start_k; block < end_k; block += BK) { - [[unroll]] for (int l = 0; l < BM; l += loadstride) { - f16mat2x4 tmp = data_a[pos_a + (loadc + l) * p.stride_a / 8 + loadr]; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 0] = tmp[0].x; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 1] = tmp[0].y; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 2] = tmp[0].z; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 3] = tmp[0].w; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 4] = tmp[1].x; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 5] = tmp[1].y; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 6] = tmp[1].z; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 7] = tmp[1].w; + [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; + } else { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; + } } - [[unroll]] for (int l = 0; l < BN; l += loadstride) { - f16mat2x4 tmp = data_b[pos_b + (loadc + l) * p.stride_b / 8 + loadr]; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 0] = tmp[0].x; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 1] = tmp[0].y; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 2] = tmp[0].z; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 3] = tmp[0].w; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 4] = tmp[1].x; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 5] = tmp[1].y; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 6] = tmp[1].z; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 7] = tmp[1].w; + [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; + } else { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; + } } barrier(); - pos_a += BK / 8; - pos_b += BK / 8; + pos_a += BK; + pos_b += BK; for (int i = 0; i < min(BK, p.K - block); i++) { // Load from shared into cache diff --git a/vk_shaders/matmul_f16_aligned.glsl b/vk_shaders/matmul_f16_aligned.glsl new file mode 100644 index 0000000000000..2b3d717721d73 --- /dev/null +++ b/vk_shaders/matmul_f16_aligned.glsl @@ -0,0 +1,149 @@ +#version 450 + +#define WARP 32 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require + +layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { f16mat2x4 data_a[]; }; +layout (binding = 1) readonly buffer B { f16mat2x4 data_b[]; }; +layout (binding = 2) writeonly buffer D { float data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int K; + int stride_a; + int stride_b; + int stride_d; + int k_split; +} p; + +layout (constant_id = 1) const int BM = 64; +layout (constant_id = 2) const int BN = 64; +layout (constant_id = 3) const int BK = 16; +layout (constant_id = 4) const int WM = 32; +layout (constant_id = 5) const int WN = 32; +layout (constant_id = 6) const int WMITER = 2; +layout (constant_id = 7) const int TM = 4; +layout (constant_id = 8) const int TN = 2; + +shared float16_t buf_a[BM * (BK+1)]; +shared float16_t buf_b[BN * (BK+1)]; + +void main() { + const int blocks_x = (p.M + BM - 1) / BM; + const int ir = int(gl_WorkGroupID.x) % blocks_x; + const int ik = int(gl_WorkGroupID.x) / blocks_x; + const int ic = int(gl_WorkGroupID.y); + + const int warp_i = int(gl_LocalInvocationID.x / WARP); + const int warp_r = warp_i % (BM / WM); + const int warp_c = warp_i / (BM / WM); + + const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); + const int WSUBM = WM / WMITER; + const int WSUBN = WN / WNITER; + + const int tiw = int(gl_LocalInvocationID.x % WARP); + const int tiwr = tiw % (WSUBM / TM); + const int tiwc = tiw / (WSUBM / TM); + + const int loadr = int(gl_LocalInvocationID.x % (BK / 8)); + const int loadc = int(gl_LocalInvocationID.x / (BK / 8)); + + const int loadstride = int(gl_WorkGroupSize.x * 8) / BK; + + const int start_k = ik * p.k_split; + const int end_k = (ik + 1) * p.k_split; + + int pos_a = ir * BM * p.stride_a / 8 + start_k / 8; + int pos_b = ic * BN * p.stride_b / 8 + start_k / 8; + + float sums[WMITER * TM * WNITER * TN]; + float16_t cache_a[WMITER * TM]; + float16_t cache_b[WNITER * TN]; + + [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { + sums[i] = 0.0f; + } + + [[unroll]] for (int block = start_k; block < end_k; block += BK) { + [[unroll]] for (int l = 0; l < BM; l += loadstride) { + f16mat2x4 tmp = data_a[pos_a + (loadc + l) * p.stride_a / 8 + loadr]; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 0] = tmp[0].x; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 1] = tmp[0].y; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 2] = tmp[0].z; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 3] = tmp[0].w; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 4] = tmp[1].x; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 5] = tmp[1].y; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 6] = tmp[1].z; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 7] = tmp[1].w; + } + [[unroll]] for (int l = 0; l < BN; l += loadstride) { + f16mat2x4 tmp = data_b[pos_b + (loadc + l) * p.stride_b / 8 + loadr]; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 0] = tmp[0].x; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 1] = tmp[0].y; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 2] = tmp[0].z; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 3] = tmp[0].w; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 4] = tmp[1].x; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 5] = tmp[1].y; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 6] = tmp[1].z; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 7] = tmp[1].w; + } + + barrier(); + + pos_a += BK / 8; + pos_b += BK / 8; + + for (int i = 0; i < min(BK, p.K - block); i++) { + // Load from shared into cache + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int j = 0; j < TM; j++) { + cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; + } + } + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int j = 0; j < TN; j++) { + cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; + } + } + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); + } + } + } + } + } + + barrier(); + } + + const int dr = ir * BM + warp_r * WM; + const int dc = ic * BN + warp_c * WN; + + const int k_split_offset = ik * p.M * p.N; + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + + const int dr_warp = dr + wsir * WSUBM + tiwr * TM; + const int dc_warp = dc + wsic * WSUBN + tiwc * TN; + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + if (dr_warp + cr < p.M && dc_warp + cc < p.N) { + data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + } + } + } + } + } +} diff --git a/vk_shaders/matmul_f32.glsl b/vk_shaders/matmul_f32.glsl index e76c60d432702..5cc268f355965 100644 --- a/vk_shaders/matmul_f32.glsl +++ b/vk_shaders/matmul_f32.glsl @@ -6,8 +6,8 @@ layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A { vec4 data_a[]; }; -layout (binding = 1) readonly buffer B { vec4 data_b[]; }; +layout (binding = 0) readonly buffer A { float data_a[]; }; +layout (binding = 1) readonly buffer B { float data_b[]; }; layout (binding = 2) writeonly buffer D { float data_d[]; }; layout (push_constant) uniform parameter @@ -51,16 +51,16 @@ void main() { const int tiwr = tiw % (WSUBM / TM); const int tiwc = tiw / (WSUBM / TM); - const int loadr = int(gl_LocalInvocationID.x % (BK / 4)); - const int loadc = int(gl_LocalInvocationID.x / (BK / 4)); + const int loadr = int(gl_LocalInvocationID.x % BK); + const int loadc = int(gl_LocalInvocationID.x / BK); - const int loadstride = int(gl_WorkGroupSize.x * 4) / BK; + const int loadstride = int(gl_WorkGroupSize.x); const int start_k = ik * p.k_split; const int end_k = (ik + 1) * p.k_split; - int pos_a = ir * BM * p.stride_a / 4 + start_k / 4; - int pos_b = ic * BN * p.stride_b / 4 + start_k / 4; + int pos_a = ir * BM * p.stride_a + start_k; + int pos_b = ic * BN * p.stride_b + start_k; float sums[WMITER * TM * WNITER * TN]; float cache_a[WMITER * TM]; @@ -71,25 +71,29 @@ void main() { } [[unroll]] for (int block = start_k; block < end_k; block += BK) { - [[unroll]] for (int l = 0; l < BM; l += loadstride) { - vec4 tmp = data_a[pos_a + (loadc + l) * p.stride_a / 4 + loadr]; - buf_a[(loadc + l) * (BK+1) + loadr * 4 + 0] = tmp.x; - buf_a[(loadc + l) * (BK+1) + loadr * 4 + 1] = tmp.y; - buf_a[(loadc + l) * (BK+1) + loadr * 4 + 2] = tmp.z; - buf_a[(loadc + l) * (BK+1) + loadr * 4 + 3] = tmp.w; + [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; + } else { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0f; + } } - [[unroll]] for (int l = 0; l < BN; l += loadstride) { - vec4 tmp = data_b[pos_b + (loadc + l) * p.stride_b / 4 + loadr]; - buf_b[(loadc + l) * (BK+1) + loadr * 4 + 0] = tmp.x; - buf_b[(loadc + l) * (BK+1) + loadr * 4 + 1] = tmp.y; - buf_b[(loadc + l) * (BK+1) + loadr * 4 + 2] = tmp.z; - buf_b[(loadc + l) * (BK+1) + loadr * 4 + 3] = tmp.w; + [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; + } else { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0f; + } } barrier(); - pos_a += BK / 4; - pos_b += BK / 4; + pos_a += BK; + pos_b += BK; for (int i = 0; i < min(BK, p.K - block); i++) { // Load from shared into cache diff --git a/vk_shaders/matmul_f32_aligned.glsl b/vk_shaders/matmul_f32_aligned.glsl new file mode 100644 index 0000000000000..e76c60d432702 --- /dev/null +++ b/vk_shaders/matmul_f32_aligned.glsl @@ -0,0 +1,140 @@ +#version 450 + +#define WARP 32 + +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { vec4 data_a[]; }; +layout (binding = 1) readonly buffer B { vec4 data_b[]; }; +layout (binding = 2) writeonly buffer D { float data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int K; + int stride_a; + int stride_b; + int stride_d; + int k_split; +} p; + +layout (constant_id = 1) const int BM = 64; +layout (constant_id = 2) const int BN = 64; +layout (constant_id = 3) const int BK = 16; +layout (constant_id = 4) const int WM = 32; +layout (constant_id = 5) const int WN = 32; +layout (constant_id = 6) const int WMITER = 2; +layout (constant_id = 7) const int TM = 4; +layout (constant_id = 8) const int TN = 2; + +shared float buf_a[BM * (BK+1)]; +shared float buf_b[BN * (BK+1)]; + +void main() { + const int blocks_x = (p.M + BM - 1) / BM; + const int ir = int(gl_WorkGroupID.x) % blocks_x; + const int ik = int(gl_WorkGroupID.x) / blocks_x; + const int ic = int(gl_WorkGroupID.y); + + const int warp_i = int(gl_LocalInvocationID.x / WARP); + const int warp_r = warp_i % (BM / WM); + const int warp_c = warp_i / (BM / WM); + + const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); + const int WSUBM = WM / WMITER; + const int WSUBN = WN / WNITER; + + const int tiw = int(gl_LocalInvocationID.x % WARP); + const int tiwr = tiw % (WSUBM / TM); + const int tiwc = tiw / (WSUBM / TM); + + const int loadr = int(gl_LocalInvocationID.x % (BK / 4)); + const int loadc = int(gl_LocalInvocationID.x / (BK / 4)); + + const int loadstride = int(gl_WorkGroupSize.x * 4) / BK; + + const int start_k = ik * p.k_split; + const int end_k = (ik + 1) * p.k_split; + + int pos_a = ir * BM * p.stride_a / 4 + start_k / 4; + int pos_b = ic * BN * p.stride_b / 4 + start_k / 4; + + float sums[WMITER * TM * WNITER * TN]; + float cache_a[WMITER * TM]; + float cache_b[WNITER * TN]; + + [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { + sums[i] = 0.0f; + } + + [[unroll]] for (int block = start_k; block < end_k; block += BK) { + [[unroll]] for (int l = 0; l < BM; l += loadstride) { + vec4 tmp = data_a[pos_a + (loadc + l) * p.stride_a / 4 + loadr]; + buf_a[(loadc + l) * (BK+1) + loadr * 4 + 0] = tmp.x; + buf_a[(loadc + l) * (BK+1) + loadr * 4 + 1] = tmp.y; + buf_a[(loadc + l) * (BK+1) + loadr * 4 + 2] = tmp.z; + buf_a[(loadc + l) * (BK+1) + loadr * 4 + 3] = tmp.w; + } + [[unroll]] for (int l = 0; l < BN; l += loadstride) { + vec4 tmp = data_b[pos_b + (loadc + l) * p.stride_b / 4 + loadr]; + buf_b[(loadc + l) * (BK+1) + loadr * 4 + 0] = tmp.x; + buf_b[(loadc + l) * (BK+1) + loadr * 4 + 1] = tmp.y; + buf_b[(loadc + l) * (BK+1) + loadr * 4 + 2] = tmp.z; + buf_b[(loadc + l) * (BK+1) + loadr * 4 + 3] = tmp.w; + } + + barrier(); + + pos_a += BK / 4; + pos_b += BK / 4; + + for (int i = 0; i < min(BK, p.K - block); i++) { + // Load from shared into cache + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int j = 0; j < TM; j++) { + cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; + } + } + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int j = 0; j < TN; j++) { + cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; + } + } + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += cache_a[wsir * TM + cr] * cache_b[wsic * TN + cc]; + } + } + } + } + } + + barrier(); + } + + const int dr = ir * BM + warp_r * WM; + const int dc = ic * BN + warp_c * WN; + + const int k_split_offset = ik * p.M * p.N; + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + + const int dr_warp = dr + wsir * WSUBM + tiwr * TM; + const int dc_warp = dc + wsic * WSUBN + tiwc * TN; + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + if (dr_warp + cr < p.M && dc_warp + cc < p.N) { + data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + } + } + } + } + } +} From b5b133723aaf863e080557df6e64601d30e1a8e4 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Thu, 20 Jul 2023 19:32:17 +0200 Subject: [PATCH 046/142] Don't free before queue done --- ggml-vulkan.cpp | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 9781e286c0d28..b7365e5d13153 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1602,8 +1602,6 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } } - ggml_vk_host_free(fp16_staging); - ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); // cleanup waits for the queue to be done @@ -1611,6 +1609,8 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_queue_cleanup(vk_transfer_queues[1]); ggml_vk_queue_cleanup(vk_compute_queue); + ggml_vk_host_free(fp16_staging); + if (src0->backend != GGML_BACKEND_GPU) { ggml_vk_pool_free(d_X); } From 3432e378d50f3cb3c774f59e2ab91acf0c725e30 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Thu, 20 Jul 2023 21:57:33 +0200 Subject: [PATCH 047/142] Replace VMA library with native Vulkan buffer management --- external/vk_mem_alloc.h | 19664 -------------------------------------- ggml-vulkan.cpp | 276 +- 2 files changed, 121 insertions(+), 19819 deletions(-) delete mode 100644 external/vk_mem_alloc.h diff --git a/external/vk_mem_alloc.h b/external/vk_mem_alloc.h deleted file mode 100644 index 14fa832081977..0000000000000 --- a/external/vk_mem_alloc.h +++ /dev/null @@ -1,19664 +0,0 @@ -// -// Copyright (c) 2017-2022 Advanced Micro Devices, Inc. All rights reserved. -// -// Permission is hereby granted, free of charge, to any person obtaining a copy -// of this software and associated documentation files (the "Software"), to deal -// in the Software without restriction, including without limitation the rights -// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -// copies of the Software, and to permit persons to whom the Software is -// furnished to do so, subject to the following conditions: -// -// The above copyright notice and this permission notice shall be included in -// all copies or substantial portions of the Software. -// -// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN -// THE SOFTWARE. -// - -#ifndef AMD_VULKAN_MEMORY_ALLOCATOR_H -#define AMD_VULKAN_MEMORY_ALLOCATOR_H - -/** \mainpage Vulkan Memory Allocator - -Version 3.1.0-development - -Copyright (c) 2017-2022 Advanced Micro Devices, Inc. All rights reserved. \n -License: MIT - -API documentation divided into groups: [Modules](modules.html) - -\section main_table_of_contents Table of contents - -- User guide - - \subpage quick_start - - [Project setup](@ref quick_start_project_setup) - - [Initialization](@ref quick_start_initialization) - - [Resource allocation](@ref quick_start_resource_allocation) - - \subpage choosing_memory_type - - [Usage](@ref choosing_memory_type_usage) - - [Required and preferred flags](@ref choosing_memory_type_required_preferred_flags) - - [Explicit memory types](@ref choosing_memory_type_explicit_memory_types) - - [Custom memory pools](@ref choosing_memory_type_custom_memory_pools) - - [Dedicated allocations](@ref choosing_memory_type_dedicated_allocations) - - \subpage memory_mapping - - [Mapping functions](@ref memory_mapping_mapping_functions) - - [Persistently mapped memory](@ref memory_mapping_persistently_mapped_memory) - - [Cache flush and invalidate](@ref memory_mapping_cache_control) - - \subpage staying_within_budget - - [Querying for budget](@ref staying_within_budget_querying_for_budget) - - [Controlling memory usage](@ref staying_within_budget_controlling_memory_usage) - - \subpage resource_aliasing - - \subpage custom_memory_pools - - [Choosing memory type index](@ref custom_memory_pools_MemTypeIndex) - - [Linear allocation algorithm](@ref linear_algorithm) - - [Free-at-once](@ref linear_algorithm_free_at_once) - - [Stack](@ref linear_algorithm_stack) - - [Double stack](@ref linear_algorithm_double_stack) - - [Ring buffer](@ref linear_algorithm_ring_buffer) - - \subpage defragmentation - - \subpage statistics - - [Numeric statistics](@ref statistics_numeric_statistics) - - [JSON dump](@ref statistics_json_dump) - - \subpage allocation_annotation - - [Allocation user data](@ref allocation_user_data) - - [Allocation names](@ref allocation_names) - - \subpage virtual_allocator - - \subpage debugging_memory_usage - - [Memory initialization](@ref debugging_memory_usage_initialization) - - [Margins](@ref debugging_memory_usage_margins) - - [Corruption detection](@ref debugging_memory_usage_corruption_detection) - - \subpage opengl_interop -- \subpage usage_patterns - - [GPU-only resource](@ref usage_patterns_gpu_only) - - [Staging copy for upload](@ref usage_patterns_staging_copy_upload) - - [Readback](@ref usage_patterns_readback) - - [Advanced data uploading](@ref usage_patterns_advanced_data_uploading) - - [Other use cases](@ref usage_patterns_other_use_cases) -- \subpage configuration - - [Pointers to Vulkan functions](@ref config_Vulkan_functions) - - [Custom host memory allocator](@ref custom_memory_allocator) - - [Device memory allocation callbacks](@ref allocation_callbacks) - - [Device heap memory limit](@ref heap_memory_limit) -- Extension support - - \subpage vk_khr_dedicated_allocation - - \subpage enabling_buffer_device_address - - \subpage vk_ext_memory_priority - - \subpage vk_amd_device_coherent_memory -- \subpage general_considerations - - [Thread safety](@ref general_considerations_thread_safety) - - [Versioning and compatibility](@ref general_considerations_versioning_and_compatibility) - - [Validation layer warnings](@ref general_considerations_validation_layer_warnings) - - [Allocation algorithm](@ref general_considerations_allocation_algorithm) - - [Features not supported](@ref general_considerations_features_not_supported) - -\section main_see_also See also - -- [**Product page on GPUOpen**](https://gpuopen.com/gaming-product/vulkan-memory-allocator/) -- [**Source repository on GitHub**](https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator) - -\defgroup group_init Library initialization - -\brief API elements related to the initialization and management of the entire library, especially #VmaAllocator object. - -\defgroup group_alloc Memory allocation - -\brief API elements related to the allocation, deallocation, and management of Vulkan memory, buffers, images. -Most basic ones being: vmaCreateBuffer(), vmaCreateImage(). - -\defgroup group_virtual Virtual allocator - -\brief API elements related to the mechanism of \ref virtual_allocator - using the core allocation algorithm -for user-defined purpose without allocating any real GPU memory. - -\defgroup group_stats Statistics - -\brief API elements that query current status of the allocator, from memory usage, budget, to full dump of the internal state in JSON format. -See documentation chapter: \ref statistics. -*/ - - -#ifdef __cplusplus -extern "C" { -#endif - -#ifndef VULKAN_H_ - #include -#endif - -#if !defined(VMA_VULKAN_VERSION) - #if defined(VK_VERSION_1_3) - #define VMA_VULKAN_VERSION 1003000 - #elif defined(VK_VERSION_1_2) - #define VMA_VULKAN_VERSION 1002000 - #elif defined(VK_VERSION_1_1) - #define VMA_VULKAN_VERSION 1001000 - #else - #define VMA_VULKAN_VERSION 1000000 - #endif -#endif - -#if defined(__ANDROID__) && defined(VK_NO_PROTOTYPES) && VMA_STATIC_VULKAN_FUNCTIONS - extern PFN_vkGetInstanceProcAddr vkGetInstanceProcAddr; - extern PFN_vkGetDeviceProcAddr vkGetDeviceProcAddr; - extern PFN_vkGetPhysicalDeviceProperties vkGetPhysicalDeviceProperties; - extern PFN_vkGetPhysicalDeviceMemoryProperties vkGetPhysicalDeviceMemoryProperties; - extern PFN_vkAllocateMemory vkAllocateMemory; - extern PFN_vkFreeMemory vkFreeMemory; - extern PFN_vkMapMemory vkMapMemory; - extern PFN_vkUnmapMemory vkUnmapMemory; - extern PFN_vkFlushMappedMemoryRanges vkFlushMappedMemoryRanges; - extern PFN_vkInvalidateMappedMemoryRanges vkInvalidateMappedMemoryRanges; - extern PFN_vkBindBufferMemory vkBindBufferMemory; - extern PFN_vkBindImageMemory vkBindImageMemory; - extern PFN_vkGetBufferMemoryRequirements vkGetBufferMemoryRequirements; - extern PFN_vkGetImageMemoryRequirements vkGetImageMemoryRequirements; - extern PFN_vkCreateBuffer vkCreateBuffer; - extern PFN_vkDestroyBuffer vkDestroyBuffer; - extern PFN_vkCreateImage vkCreateImage; - extern PFN_vkDestroyImage vkDestroyImage; - extern PFN_vkCmdCopyBuffer vkCmdCopyBuffer; - #if VMA_VULKAN_VERSION >= 1001000 - extern PFN_vkGetBufferMemoryRequirements2 vkGetBufferMemoryRequirements2; - extern PFN_vkGetImageMemoryRequirements2 vkGetImageMemoryRequirements2; - extern PFN_vkBindBufferMemory2 vkBindBufferMemory2; - extern PFN_vkBindImageMemory2 vkBindImageMemory2; - extern PFN_vkGetPhysicalDeviceMemoryProperties2 vkGetPhysicalDeviceMemoryProperties2; - #endif // #if VMA_VULKAN_VERSION >= 1001000 -#endif // #if defined(__ANDROID__) && VMA_STATIC_VULKAN_FUNCTIONS && VK_NO_PROTOTYPES - -#if !defined(VMA_DEDICATED_ALLOCATION) - #if VK_KHR_get_memory_requirements2 && VK_KHR_dedicated_allocation - #define VMA_DEDICATED_ALLOCATION 1 - #else - #define VMA_DEDICATED_ALLOCATION 0 - #endif -#endif - -#if !defined(VMA_BIND_MEMORY2) - #if VK_KHR_bind_memory2 - #define VMA_BIND_MEMORY2 1 - #else - #define VMA_BIND_MEMORY2 0 - #endif -#endif - -#if !defined(VMA_MEMORY_BUDGET) - #if VK_EXT_memory_budget && (VK_KHR_get_physical_device_properties2 || VMA_VULKAN_VERSION >= 1001000) - #define VMA_MEMORY_BUDGET 1 - #else - #define VMA_MEMORY_BUDGET 0 - #endif -#endif - -// Defined to 1 when VK_KHR_buffer_device_address device extension or equivalent core Vulkan 1.2 feature is defined in its headers. -#if !defined(VMA_BUFFER_DEVICE_ADDRESS) - #if VK_KHR_buffer_device_address || VMA_VULKAN_VERSION >= 1002000 - #define VMA_BUFFER_DEVICE_ADDRESS 1 - #else - #define VMA_BUFFER_DEVICE_ADDRESS 0 - #endif -#endif - -// Defined to 1 when VK_EXT_memory_priority device extension is defined in Vulkan headers. -#if !defined(VMA_MEMORY_PRIORITY) - #if VK_EXT_memory_priority - #define VMA_MEMORY_PRIORITY 1 - #else - #define VMA_MEMORY_PRIORITY 0 - #endif -#endif - -// Defined to 1 when VK_KHR_external_memory device extension is defined in Vulkan headers. -#if !defined(VMA_EXTERNAL_MEMORY) - #if VK_KHR_external_memory - #define VMA_EXTERNAL_MEMORY 1 - #else - #define VMA_EXTERNAL_MEMORY 0 - #endif -#endif - -// Define these macros to decorate all public functions with additional code, -// before and after returned type, appropriately. This may be useful for -// exporting the functions when compiling VMA as a separate library. Example: -// #define VMA_CALL_PRE __declspec(dllexport) -// #define VMA_CALL_POST __cdecl -#ifndef VMA_CALL_PRE - #define VMA_CALL_PRE -#endif -#ifndef VMA_CALL_POST - #define VMA_CALL_POST -#endif - -// Define this macro to decorate pointers with an attribute specifying the -// length of the array they point to if they are not null. -// -// The length may be one of -// - The name of another parameter in the argument list where the pointer is declared -// - The name of another member in the struct where the pointer is declared -// - The name of a member of a struct type, meaning the value of that member in -// the context of the call. For example -// VMA_LEN_IF_NOT_NULL("VkPhysicalDeviceMemoryProperties::memoryHeapCount"), -// this means the number of memory heaps available in the device associated -// with the VmaAllocator being dealt with. -#ifndef VMA_LEN_IF_NOT_NULL - #define VMA_LEN_IF_NOT_NULL(len) -#endif - -// The VMA_NULLABLE macro is defined to be _Nullable when compiling with Clang. -// see: https://clang.llvm.org/docs/AttributeReference.html#nullable -#ifndef VMA_NULLABLE - #ifdef __clang__ - #define VMA_NULLABLE _Nullable - #else - #define VMA_NULLABLE - #endif -#endif - -// The VMA_NOT_NULL macro is defined to be _Nonnull when compiling with Clang. -// see: https://clang.llvm.org/docs/AttributeReference.html#nonnull -#ifndef VMA_NOT_NULL - #ifdef __clang__ - #define VMA_NOT_NULL _Nonnull - #else - #define VMA_NOT_NULL - #endif -#endif - -// If non-dispatchable handles are represented as pointers then we can give -// then nullability annotations -#ifndef VMA_NOT_NULL_NON_DISPATCHABLE - #if defined(__LP64__) || defined(_WIN64) || (defined(__x86_64__) && !defined(__ILP32__) ) || defined(_M_X64) || defined(__ia64) || defined (_M_IA64) || defined(__aarch64__) || defined(__powerpc64__) - #define VMA_NOT_NULL_NON_DISPATCHABLE VMA_NOT_NULL - #else - #define VMA_NOT_NULL_NON_DISPATCHABLE - #endif -#endif - -#ifndef VMA_NULLABLE_NON_DISPATCHABLE - #if defined(__LP64__) || defined(_WIN64) || (defined(__x86_64__) && !defined(__ILP32__) ) || defined(_M_X64) || defined(__ia64) || defined (_M_IA64) || defined(__aarch64__) || defined(__powerpc64__) - #define VMA_NULLABLE_NON_DISPATCHABLE VMA_NULLABLE - #else - #define VMA_NULLABLE_NON_DISPATCHABLE - #endif -#endif - -#ifndef VMA_STATS_STRING_ENABLED - #define VMA_STATS_STRING_ENABLED 1 -#endif - -//////////////////////////////////////////////////////////////////////////////// -//////////////////////////////////////////////////////////////////////////////// -// -// INTERFACE -// -//////////////////////////////////////////////////////////////////////////////// -//////////////////////////////////////////////////////////////////////////////// - -// Sections for managing code placement in file, only for development purposes e.g. for convenient folding inside an IDE. -#ifndef _VMA_ENUM_DECLARATIONS - -/** -\addtogroup group_init -@{ -*/ - -/// Flags for created #VmaAllocator. -typedef enum VmaAllocatorCreateFlagBits -{ - /** \brief Allocator and all objects created from it will not be synchronized internally, so you must guarantee they are used from only one thread at a time or synchronized externally by you. - - Using this flag may increase performance because internal mutexes are not used. - */ - VMA_ALLOCATOR_CREATE_EXTERNALLY_SYNCHRONIZED_BIT = 0x00000001, - /** \brief Enables usage of VK_KHR_dedicated_allocation extension. - - The flag works only if VmaAllocatorCreateInfo::vulkanApiVersion `== VK_API_VERSION_1_0`. - When it is `VK_API_VERSION_1_1`, the flag is ignored because the extension has been promoted to Vulkan 1.1. - - Using this extension will automatically allocate dedicated blocks of memory for - some buffers and images instead of suballocating place for them out of bigger - memory blocks (as if you explicitly used #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT - flag) when it is recommended by the driver. It may improve performance on some - GPUs. - - You may set this flag only if you found out that following device extensions are - supported, you enabled them while creating Vulkan device passed as - VmaAllocatorCreateInfo::device, and you want them to be used internally by this - library: - - - VK_KHR_get_memory_requirements2 (device extension) - - VK_KHR_dedicated_allocation (device extension) - - When this flag is set, you can experience following warnings reported by Vulkan - validation layer. You can ignore them. - - > vkBindBufferMemory(): Binding memory to buffer 0x2d but vkGetBufferMemoryRequirements() has not been called on that buffer. - */ - VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT = 0x00000002, - /** - Enables usage of VK_KHR_bind_memory2 extension. - - The flag works only if VmaAllocatorCreateInfo::vulkanApiVersion `== VK_API_VERSION_1_0`. - When it is `VK_API_VERSION_1_1`, the flag is ignored because the extension has been promoted to Vulkan 1.1. - - You may set this flag only if you found out that this device extension is supported, - you enabled it while creating Vulkan device passed as VmaAllocatorCreateInfo::device, - and you want it to be used internally by this library. - - The extension provides functions `vkBindBufferMemory2KHR` and `vkBindImageMemory2KHR`, - which allow to pass a chain of `pNext` structures while binding. - This flag is required if you use `pNext` parameter in vmaBindBufferMemory2() or vmaBindImageMemory2(). - */ - VMA_ALLOCATOR_CREATE_KHR_BIND_MEMORY2_BIT = 0x00000004, - /** - Enables usage of VK_EXT_memory_budget extension. - - You may set this flag only if you found out that this device extension is supported, - you enabled it while creating Vulkan device passed as VmaAllocatorCreateInfo::device, - and you want it to be used internally by this library, along with another instance extension - VK_KHR_get_physical_device_properties2, which is required by it (or Vulkan 1.1, where this extension is promoted). - - The extension provides query for current memory usage and budget, which will probably - be more accurate than an estimation used by the library otherwise. - */ - VMA_ALLOCATOR_CREATE_EXT_MEMORY_BUDGET_BIT = 0x00000008, - /** - Enables usage of VK_AMD_device_coherent_memory extension. - - You may set this flag only if you: - - - found out that this device extension is supported and enabled it while creating Vulkan device passed as VmaAllocatorCreateInfo::device, - - checked that `VkPhysicalDeviceCoherentMemoryFeaturesAMD::deviceCoherentMemory` is true and set it while creating the Vulkan device, - - want it to be used internally by this library. - - The extension and accompanying device feature provide access to memory types with - `VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD` and `VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD` flags. - They are useful mostly for writing breadcrumb markers - a common method for debugging GPU crash/hang/TDR. - - When the extension is not enabled, such memory types are still enumerated, but their usage is illegal. - To protect from this error, if you don't create the allocator with this flag, it will refuse to allocate any memory or create a custom pool in such memory type, - returning `VK_ERROR_FEATURE_NOT_PRESENT`. - */ - VMA_ALLOCATOR_CREATE_AMD_DEVICE_COHERENT_MEMORY_BIT = 0x00000010, - /** - Enables usage of "buffer device address" feature, which allows you to use function - `vkGetBufferDeviceAddress*` to get raw GPU pointer to a buffer and pass it for usage inside a shader. - - You may set this flag only if you: - - 1. (For Vulkan version < 1.2) Found as available and enabled device extension - VK_KHR_buffer_device_address. - This extension is promoted to core Vulkan 1.2. - 2. Found as available and enabled device feature `VkPhysicalDeviceBufferDeviceAddressFeatures::bufferDeviceAddress`. - - When this flag is set, you can create buffers with `VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT` using VMA. - The library automatically adds `VK_MEMORY_ALLOCATE_DEVICE_ADDRESS_BIT` to - allocated memory blocks wherever it might be needed. - - For more information, see documentation chapter \ref enabling_buffer_device_address. - */ - VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT = 0x00000020, - /** - Enables usage of VK_EXT_memory_priority extension in the library. - - You may set this flag only if you found available and enabled this device extension, - along with `VkPhysicalDeviceMemoryPriorityFeaturesEXT::memoryPriority == VK_TRUE`, - while creating Vulkan device passed as VmaAllocatorCreateInfo::device. - - When this flag is used, VmaAllocationCreateInfo::priority and VmaPoolCreateInfo::priority - are used to set priorities of allocated Vulkan memory. Without it, these variables are ignored. - - A priority must be a floating-point value between 0 and 1, indicating the priority of the allocation relative to other memory allocations. - Larger values are higher priority. The granularity of the priorities is implementation-dependent. - It is automatically passed to every call to `vkAllocateMemory` done by the library using structure `VkMemoryPriorityAllocateInfoEXT`. - The value to be used for default priority is 0.5. - For more details, see the documentation of the VK_EXT_memory_priority extension. - */ - VMA_ALLOCATOR_CREATE_EXT_MEMORY_PRIORITY_BIT = 0x00000040, - - VMA_ALLOCATOR_CREATE_FLAG_BITS_MAX_ENUM = 0x7FFFFFFF -} VmaAllocatorCreateFlagBits; -/// See #VmaAllocatorCreateFlagBits. -typedef VkFlags VmaAllocatorCreateFlags; - -/** @} */ - -/** -\addtogroup group_alloc -@{ -*/ - -/// \brief Intended usage of the allocated memory. -typedef enum VmaMemoryUsage -{ - /** No intended memory usage specified. - Use other members of VmaAllocationCreateInfo to specify your requirements. - */ - VMA_MEMORY_USAGE_UNKNOWN = 0, - /** - \deprecated Obsolete, preserved for backward compatibility. - Prefers `VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT`. - */ - VMA_MEMORY_USAGE_GPU_ONLY = 1, - /** - \deprecated Obsolete, preserved for backward compatibility. - Guarantees `VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT` and `VK_MEMORY_PROPERTY_HOST_COHERENT_BIT`. - */ - VMA_MEMORY_USAGE_CPU_ONLY = 2, - /** - \deprecated Obsolete, preserved for backward compatibility. - Guarantees `VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT`, prefers `VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT`. - */ - VMA_MEMORY_USAGE_CPU_TO_GPU = 3, - /** - \deprecated Obsolete, preserved for backward compatibility. - Guarantees `VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT`, prefers `VK_MEMORY_PROPERTY_HOST_CACHED_BIT`. - */ - VMA_MEMORY_USAGE_GPU_TO_CPU = 4, - /** - \deprecated Obsolete, preserved for backward compatibility. - Prefers not `VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT`. - */ - VMA_MEMORY_USAGE_CPU_COPY = 5, - /** - Lazily allocated GPU memory having `VK_MEMORY_PROPERTY_LAZILY_ALLOCATED_BIT`. - Exists mostly on mobile platforms. Using it on desktop PC or other GPUs with no such memory type present will fail the allocation. - - Usage: Memory for transient attachment images (color attachments, depth attachments etc.), created with `VK_IMAGE_USAGE_TRANSIENT_ATTACHMENT_BIT`. - - Allocations with this usage are always created as dedicated - it implies #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. - */ - VMA_MEMORY_USAGE_GPU_LAZILY_ALLOCATED = 6, - /** - Selects best memory type automatically. - This flag is recommended for most common use cases. - - When using this flag, if you want to map the allocation (using vmaMapMemory() or #VMA_ALLOCATION_CREATE_MAPPED_BIT), - you must pass one of the flags: #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT - in VmaAllocationCreateInfo::flags. - - It can be used only with functions that let the library know `VkBufferCreateInfo` or `VkImageCreateInfo`, e.g. - vmaCreateBuffer(), vmaCreateImage(), vmaFindMemoryTypeIndexForBufferInfo(), vmaFindMemoryTypeIndexForImageInfo() - and not with generic memory allocation functions. - */ - VMA_MEMORY_USAGE_AUTO = 7, - /** - Selects best memory type automatically with preference for GPU (device) memory. - - When using this flag, if you want to map the allocation (using vmaMapMemory() or #VMA_ALLOCATION_CREATE_MAPPED_BIT), - you must pass one of the flags: #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT - in VmaAllocationCreateInfo::flags. - - It can be used only with functions that let the library know `VkBufferCreateInfo` or `VkImageCreateInfo`, e.g. - vmaCreateBuffer(), vmaCreateImage(), vmaFindMemoryTypeIndexForBufferInfo(), vmaFindMemoryTypeIndexForImageInfo() - and not with generic memory allocation functions. - */ - VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE = 8, - /** - Selects best memory type automatically with preference for CPU (host) memory. - - When using this flag, if you want to map the allocation (using vmaMapMemory() or #VMA_ALLOCATION_CREATE_MAPPED_BIT), - you must pass one of the flags: #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT - in VmaAllocationCreateInfo::flags. - - It can be used only with functions that let the library know `VkBufferCreateInfo` or `VkImageCreateInfo`, e.g. - vmaCreateBuffer(), vmaCreateImage(), vmaFindMemoryTypeIndexForBufferInfo(), vmaFindMemoryTypeIndexForImageInfo() - and not with generic memory allocation functions. - */ - VMA_MEMORY_USAGE_AUTO_PREFER_HOST = 9, - - VMA_MEMORY_USAGE_MAX_ENUM = 0x7FFFFFFF -} VmaMemoryUsage; - -/// Flags to be passed as VmaAllocationCreateInfo::flags. -typedef enum VmaAllocationCreateFlagBits -{ - /** \brief Set this flag if the allocation should have its own memory block. - - Use it for special, big resources, like fullscreen images used as attachments. - */ - VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT = 0x00000001, - - /** \brief Set this flag to only try to allocate from existing `VkDeviceMemory` blocks and never create new such block. - - If new allocation cannot be placed in any of the existing blocks, allocation - fails with `VK_ERROR_OUT_OF_DEVICE_MEMORY` error. - - You should not use #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT and - #VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT at the same time. It makes no sense. - */ - VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT = 0x00000002, - /** \brief Set this flag to use a memory that will be persistently mapped and retrieve pointer to it. - - Pointer to mapped memory will be returned through VmaAllocationInfo::pMappedData. - - It is valid to use this flag for allocation made from memory type that is not - `HOST_VISIBLE`. This flag is then ignored and memory is not mapped. This is - useful if you need an allocation that is efficient to use on GPU - (`DEVICE_LOCAL`) and still want to map it directly if possible on platforms that - support it (e.g. Intel GPU). - */ - VMA_ALLOCATION_CREATE_MAPPED_BIT = 0x00000004, - /** \deprecated Preserved for backward compatibility. Consider using vmaSetAllocationName() instead. - - Set this flag to treat VmaAllocationCreateInfo::pUserData as pointer to a - null-terminated string. Instead of copying pointer value, a local copy of the - string is made and stored in allocation's `pName`. The string is automatically - freed together with the allocation. It is also used in vmaBuildStatsString(). - */ - VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT = 0x00000020, - /** Allocation will be created from upper stack in a double stack pool. - - This flag is only allowed for custom pools created with #VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT flag. - */ - VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT = 0x00000040, - /** Create both buffer/image and allocation, but don't bind them together. - It is useful when you want to bind yourself to do some more advanced binding, e.g. using some extensions. - The flag is meaningful only with functions that bind by default: vmaCreateBuffer(), vmaCreateImage(). - Otherwise it is ignored. - - If you want to make sure the new buffer/image is not tied to the new memory allocation - through `VkMemoryDedicatedAllocateInfoKHR` structure in case the allocation ends up in its own memory block, - use also flag #VMA_ALLOCATION_CREATE_CAN_ALIAS_BIT. - */ - VMA_ALLOCATION_CREATE_DONT_BIND_BIT = 0x00000080, - /** Create allocation only if additional device memory required for it, if any, won't exceed - memory budget. Otherwise return `VK_ERROR_OUT_OF_DEVICE_MEMORY`. - */ - VMA_ALLOCATION_CREATE_WITHIN_BUDGET_BIT = 0x00000100, - /** \brief Set this flag if the allocated memory will have aliasing resources. - - Usage of this flag prevents supplying `VkMemoryDedicatedAllocateInfoKHR` when #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT is specified. - Otherwise created dedicated memory will not be suitable for aliasing resources, resulting in Vulkan Validation Layer errors. - */ - VMA_ALLOCATION_CREATE_CAN_ALIAS_BIT = 0x00000200, - /** - Requests possibility to map the allocation (using vmaMapMemory() or #VMA_ALLOCATION_CREATE_MAPPED_BIT). - - - If you use #VMA_MEMORY_USAGE_AUTO or other `VMA_MEMORY_USAGE_AUTO*` value, - you must use this flag to be able to map the allocation. Otherwise, mapping is incorrect. - - If you use other value of #VmaMemoryUsage, this flag is ignored and mapping is always possible in memory types that are `HOST_VISIBLE`. - This includes allocations created in \ref custom_memory_pools. - - Declares that mapped memory will only be written sequentially, e.g. using `memcpy()` or a loop writing number-by-number, - never read or accessed randomly, so a memory type can be selected that is uncached and write-combined. - - \warning Violating this declaration may work correctly, but will likely be very slow. - Watch out for implicit reads introduced by doing e.g. `pMappedData[i] += x;` - Better prepare your data in a local variable and `memcpy()` it to the mapped pointer all at once. - */ - VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT = 0x00000400, - /** - Requests possibility to map the allocation (using vmaMapMemory() or #VMA_ALLOCATION_CREATE_MAPPED_BIT). - - - If you use #VMA_MEMORY_USAGE_AUTO or other `VMA_MEMORY_USAGE_AUTO*` value, - you must use this flag to be able to map the allocation. Otherwise, mapping is incorrect. - - If you use other value of #VmaMemoryUsage, this flag is ignored and mapping is always possible in memory types that are `HOST_VISIBLE`. - This includes allocations created in \ref custom_memory_pools. - - Declares that mapped memory can be read, written, and accessed in random order, - so a `HOST_CACHED` memory type is required. - */ - VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT = 0x00000800, - /** - Together with #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT, - it says that despite request for host access, a not-`HOST_VISIBLE` memory type can be selected - if it may improve performance. - - By using this flag, you declare that you will check if the allocation ended up in a `HOST_VISIBLE` memory type - (e.g. using vmaGetAllocationMemoryProperties()) and if not, you will create some "staging" buffer and - issue an explicit transfer to write/read your data. - To prepare for this possibility, don't forget to add appropriate flags like - `VK_BUFFER_USAGE_TRANSFER_DST_BIT`, `VK_BUFFER_USAGE_TRANSFER_SRC_BIT` to the parameters of created buffer or image. - */ - VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT = 0x00001000, - /** Allocation strategy that chooses smallest possible free range for the allocation - to minimize memory usage and fragmentation, possibly at the expense of allocation time. - */ - VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT = 0x00010000, - /** Allocation strategy that chooses first suitable free range for the allocation - - not necessarily in terms of the smallest offset but the one that is easiest and fastest to find - to minimize allocation time, possibly at the expense of allocation quality. - */ - VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT = 0x00020000, - /** Allocation strategy that chooses always the lowest offset in available space. - This is not the most efficient strategy but achieves highly packed data. - Used internally by defragmentation, not recommended in typical usage. - */ - VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT = 0x00040000, - /** Alias to #VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT. - */ - VMA_ALLOCATION_CREATE_STRATEGY_BEST_FIT_BIT = VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT, - /** Alias to #VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT. - */ - VMA_ALLOCATION_CREATE_STRATEGY_FIRST_FIT_BIT = VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT, - /** A bit mask to extract only `STRATEGY` bits from entire set of flags. - */ - VMA_ALLOCATION_CREATE_STRATEGY_MASK = - VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT | - VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT | - VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT, - - VMA_ALLOCATION_CREATE_FLAG_BITS_MAX_ENUM = 0x7FFFFFFF -} VmaAllocationCreateFlagBits; -/// See #VmaAllocationCreateFlagBits. -typedef VkFlags VmaAllocationCreateFlags; - -/// Flags to be passed as VmaPoolCreateInfo::flags. -typedef enum VmaPoolCreateFlagBits -{ - /** \brief Use this flag if you always allocate only buffers and linear images or only optimal images out of this pool and so Buffer-Image Granularity can be ignored. - - This is an optional optimization flag. - - If you always allocate using vmaCreateBuffer(), vmaCreateImage(), - vmaAllocateMemoryForBuffer(), then you don't need to use it because allocator - knows exact type of your allocations so it can handle Buffer-Image Granularity - in the optimal way. - - If you also allocate using vmaAllocateMemoryForImage() or vmaAllocateMemory(), - exact type of such allocations is not known, so allocator must be conservative - in handling Buffer-Image Granularity, which can lead to suboptimal allocation - (wasted memory). In that case, if you can make sure you always allocate only - buffers and linear images or only optimal images out of this pool, use this flag - to make allocator disregard Buffer-Image Granularity and so make allocations - faster and more optimal. - */ - VMA_POOL_CREATE_IGNORE_BUFFER_IMAGE_GRANULARITY_BIT = 0x00000002, - - /** \brief Enables alternative, linear allocation algorithm in this pool. - - Specify this flag to enable linear allocation algorithm, which always creates - new allocations after last one and doesn't reuse space from allocations freed in - between. It trades memory consumption for simplified algorithm and data - structure, which has better performance and uses less memory for metadata. - - By using this flag, you can achieve behavior of free-at-once, stack, - ring buffer, and double stack. - For details, see documentation chapter \ref linear_algorithm. - */ - VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT = 0x00000004, - - /** Bit mask to extract only `ALGORITHM` bits from entire set of flags. - */ - VMA_POOL_CREATE_ALGORITHM_MASK = - VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT, - - VMA_POOL_CREATE_FLAG_BITS_MAX_ENUM = 0x7FFFFFFF -} VmaPoolCreateFlagBits; -/// Flags to be passed as VmaPoolCreateInfo::flags. See #VmaPoolCreateFlagBits. -typedef VkFlags VmaPoolCreateFlags; - -/// Flags to be passed as VmaDefragmentationInfo::flags. -typedef enum VmaDefragmentationFlagBits -{ - /* \brief Use simple but fast algorithm for defragmentation. - May not achieve best results but will require least time to compute and least allocations to copy. - */ - VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FAST_BIT = 0x1, - /* \brief Default defragmentation algorithm, applied also when no `ALGORITHM` flag is specified. - Offers a balance between defragmentation quality and the amount of allocations and bytes that need to be moved. - */ - VMA_DEFRAGMENTATION_FLAG_ALGORITHM_BALANCED_BIT = 0x2, - /* \brief Perform full defragmentation of memory. - Can result in notably more time to compute and allocations to copy, but will achieve best memory packing. - */ - VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FULL_BIT = 0x4, - /** \brief Use the most roboust algorithm at the cost of time to compute and number of copies to make. - Only available when bufferImageGranularity is greater than 1, since it aims to reduce - alignment issues between different types of resources. - Otherwise falls back to same behavior as #VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FULL_BIT. - */ - VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT = 0x8, - - /// A bit mask to extract only `ALGORITHM` bits from entire set of flags. - VMA_DEFRAGMENTATION_FLAG_ALGORITHM_MASK = - VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FAST_BIT | - VMA_DEFRAGMENTATION_FLAG_ALGORITHM_BALANCED_BIT | - VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FULL_BIT | - VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT, - - VMA_DEFRAGMENTATION_FLAG_BITS_MAX_ENUM = 0x7FFFFFFF -} VmaDefragmentationFlagBits; -/// See #VmaDefragmentationFlagBits. -typedef VkFlags VmaDefragmentationFlags; - -/// Operation performed on single defragmentation move. See structure #VmaDefragmentationMove. -typedef enum VmaDefragmentationMoveOperation -{ - /// Buffer/image has been recreated at `dstTmpAllocation`, data has been copied, old buffer/image has been destroyed. `srcAllocation` should be changed to point to the new place. This is the default value set by vmaBeginDefragmentationPass(). - VMA_DEFRAGMENTATION_MOVE_OPERATION_COPY = 0, - /// Set this value if you cannot move the allocation. New place reserved at `dstTmpAllocation` will be freed. `srcAllocation` will remain unchanged. - VMA_DEFRAGMENTATION_MOVE_OPERATION_IGNORE = 1, - /// Set this value if you decide to abandon the allocation and you destroyed the buffer/image. New place reserved at `dstTmpAllocation` will be freed, along with `srcAllocation`, which will be destroyed. - VMA_DEFRAGMENTATION_MOVE_OPERATION_DESTROY = 2, -} VmaDefragmentationMoveOperation; - -/** @} */ - -/** -\addtogroup group_virtual -@{ -*/ - -/// Flags to be passed as VmaVirtualBlockCreateInfo::flags. -typedef enum VmaVirtualBlockCreateFlagBits -{ - /** \brief Enables alternative, linear allocation algorithm in this virtual block. - - Specify this flag to enable linear allocation algorithm, which always creates - new allocations after last one and doesn't reuse space from allocations freed in - between. It trades memory consumption for simplified algorithm and data - structure, which has better performance and uses less memory for metadata. - - By using this flag, you can achieve behavior of free-at-once, stack, - ring buffer, and double stack. - For details, see documentation chapter \ref linear_algorithm. - */ - VMA_VIRTUAL_BLOCK_CREATE_LINEAR_ALGORITHM_BIT = 0x00000001, - - /** \brief Bit mask to extract only `ALGORITHM` bits from entire set of flags. - */ - VMA_VIRTUAL_BLOCK_CREATE_ALGORITHM_MASK = - VMA_VIRTUAL_BLOCK_CREATE_LINEAR_ALGORITHM_BIT, - - VMA_VIRTUAL_BLOCK_CREATE_FLAG_BITS_MAX_ENUM = 0x7FFFFFFF -} VmaVirtualBlockCreateFlagBits; -/// Flags to be passed as VmaVirtualBlockCreateInfo::flags. See #VmaVirtualBlockCreateFlagBits. -typedef VkFlags VmaVirtualBlockCreateFlags; - -/// Flags to be passed as VmaVirtualAllocationCreateInfo::flags. -typedef enum VmaVirtualAllocationCreateFlagBits -{ - /** \brief Allocation will be created from upper stack in a double stack pool. - - This flag is only allowed for virtual blocks created with #VMA_VIRTUAL_BLOCK_CREATE_LINEAR_ALGORITHM_BIT flag. - */ - VMA_VIRTUAL_ALLOCATION_CREATE_UPPER_ADDRESS_BIT = VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT, - /** \brief Allocation strategy that tries to minimize memory usage. - */ - VMA_VIRTUAL_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT = VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT, - /** \brief Allocation strategy that tries to minimize allocation time. - */ - VMA_VIRTUAL_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT = VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT, - /** Allocation strategy that chooses always the lowest offset in available space. - This is not the most efficient strategy but achieves highly packed data. - */ - VMA_VIRTUAL_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT = VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT, - /** \brief A bit mask to extract only `STRATEGY` bits from entire set of flags. - - These strategy flags are binary compatible with equivalent flags in #VmaAllocationCreateFlagBits. - */ - VMA_VIRTUAL_ALLOCATION_CREATE_STRATEGY_MASK = VMA_ALLOCATION_CREATE_STRATEGY_MASK, - - VMA_VIRTUAL_ALLOCATION_CREATE_FLAG_BITS_MAX_ENUM = 0x7FFFFFFF -} VmaVirtualAllocationCreateFlagBits; -/// Flags to be passed as VmaVirtualAllocationCreateInfo::flags. See #VmaVirtualAllocationCreateFlagBits. -typedef VkFlags VmaVirtualAllocationCreateFlags; - -/** @} */ - -#endif // _VMA_ENUM_DECLARATIONS - -#ifndef _VMA_DATA_TYPES_DECLARATIONS - -/** -\addtogroup group_init -@{ */ - -/** \struct VmaAllocator -\brief Represents main object of this library initialized. - -Fill structure #VmaAllocatorCreateInfo and call function vmaCreateAllocator() to create it. -Call function vmaDestroyAllocator() to destroy it. - -It is recommended to create just one object of this type per `VkDevice` object, -right after Vulkan is initialized and keep it alive until before Vulkan device is destroyed. -*/ -VK_DEFINE_HANDLE(VmaAllocator) - -/** @} */ - -/** -\addtogroup group_alloc -@{ -*/ - -/** \struct VmaPool -\brief Represents custom memory pool - -Fill structure VmaPoolCreateInfo and call function vmaCreatePool() to create it. -Call function vmaDestroyPool() to destroy it. - -For more information see [Custom memory pools](@ref choosing_memory_type_custom_memory_pools). -*/ -VK_DEFINE_HANDLE(VmaPool) - -/** \struct VmaAllocation -\brief Represents single memory allocation. - -It may be either dedicated block of `VkDeviceMemory` or a specific region of a bigger block of this type -plus unique offset. - -There are multiple ways to create such object. -You need to fill structure VmaAllocationCreateInfo. -For more information see [Choosing memory type](@ref choosing_memory_type). - -Although the library provides convenience functions that create Vulkan buffer or image, -allocate memory for it and bind them together, -binding of the allocation to a buffer or an image is out of scope of the allocation itself. -Allocation object can exist without buffer/image bound, -binding can be done manually by the user, and destruction of it can be done -independently of destruction of the allocation. - -The object also remembers its size and some other information. -To retrieve this information, use function vmaGetAllocationInfo() and inspect -returned structure VmaAllocationInfo. -*/ -VK_DEFINE_HANDLE(VmaAllocation) - -/** \struct VmaDefragmentationContext -\brief An opaque object that represents started defragmentation process. - -Fill structure #VmaDefragmentationInfo and call function vmaBeginDefragmentation() to create it. -Call function vmaEndDefragmentation() to destroy it. -*/ -VK_DEFINE_HANDLE(VmaDefragmentationContext) - -/** @} */ - -/** -\addtogroup group_virtual -@{ -*/ - -/** \struct VmaVirtualAllocation -\brief Represents single memory allocation done inside VmaVirtualBlock. - -Use it as a unique identifier to virtual allocation within the single block. - -Use value `VK_NULL_HANDLE` to represent a null/invalid allocation. -*/ -VK_DEFINE_NON_DISPATCHABLE_HANDLE(VmaVirtualAllocation) - -/** @} */ - -/** -\addtogroup group_virtual -@{ -*/ - -/** \struct VmaVirtualBlock -\brief Handle to a virtual block object that allows to use core allocation algorithm without allocating any real GPU memory. - -Fill in #VmaVirtualBlockCreateInfo structure and use vmaCreateVirtualBlock() to create it. Use vmaDestroyVirtualBlock() to destroy it. -For more information, see documentation chapter \ref virtual_allocator. - -This object is not thread-safe - should not be used from multiple threads simultaneously, must be synchronized externally. -*/ -VK_DEFINE_HANDLE(VmaVirtualBlock) - -/** @} */ - -/** -\addtogroup group_init -@{ -*/ - -/// Callback function called after successful vkAllocateMemory. -typedef void (VKAPI_PTR* PFN_vmaAllocateDeviceMemoryFunction)( - VmaAllocator VMA_NOT_NULL allocator, - uint32_t memoryType, - VkDeviceMemory VMA_NOT_NULL_NON_DISPATCHABLE memory, - VkDeviceSize size, - void* VMA_NULLABLE pUserData); - -/// Callback function called before vkFreeMemory. -typedef void (VKAPI_PTR* PFN_vmaFreeDeviceMemoryFunction)( - VmaAllocator VMA_NOT_NULL allocator, - uint32_t memoryType, - VkDeviceMemory VMA_NOT_NULL_NON_DISPATCHABLE memory, - VkDeviceSize size, - void* VMA_NULLABLE pUserData); - -/** \brief Set of callbacks that the library will call for `vkAllocateMemory` and `vkFreeMemory`. - -Provided for informative purpose, e.g. to gather statistics about number of -allocations or total amount of memory allocated in Vulkan. - -Used in VmaAllocatorCreateInfo::pDeviceMemoryCallbacks. -*/ -typedef struct VmaDeviceMemoryCallbacks -{ - /// Optional, can be null. - PFN_vmaAllocateDeviceMemoryFunction VMA_NULLABLE pfnAllocate; - /// Optional, can be null. - PFN_vmaFreeDeviceMemoryFunction VMA_NULLABLE pfnFree; - /// Optional, can be null. - void* VMA_NULLABLE pUserData; -} VmaDeviceMemoryCallbacks; - -/** \brief Pointers to some Vulkan functions - a subset used by the library. - -Used in VmaAllocatorCreateInfo::pVulkanFunctions. -*/ -typedef struct VmaVulkanFunctions -{ - /// Required when using VMA_DYNAMIC_VULKAN_FUNCTIONS. - PFN_vkGetInstanceProcAddr VMA_NULLABLE vkGetInstanceProcAddr; - /// Required when using VMA_DYNAMIC_VULKAN_FUNCTIONS. - PFN_vkGetDeviceProcAddr VMA_NULLABLE vkGetDeviceProcAddr; - PFN_vkGetPhysicalDeviceProperties VMA_NULLABLE vkGetPhysicalDeviceProperties; - PFN_vkGetPhysicalDeviceMemoryProperties VMA_NULLABLE vkGetPhysicalDeviceMemoryProperties; - PFN_vkAllocateMemory VMA_NULLABLE vkAllocateMemory; - PFN_vkFreeMemory VMA_NULLABLE vkFreeMemory; - PFN_vkMapMemory VMA_NULLABLE vkMapMemory; - PFN_vkUnmapMemory VMA_NULLABLE vkUnmapMemory; - PFN_vkFlushMappedMemoryRanges VMA_NULLABLE vkFlushMappedMemoryRanges; - PFN_vkInvalidateMappedMemoryRanges VMA_NULLABLE vkInvalidateMappedMemoryRanges; - PFN_vkBindBufferMemory VMA_NULLABLE vkBindBufferMemory; - PFN_vkBindImageMemory VMA_NULLABLE vkBindImageMemory; - PFN_vkGetBufferMemoryRequirements VMA_NULLABLE vkGetBufferMemoryRequirements; - PFN_vkGetImageMemoryRequirements VMA_NULLABLE vkGetImageMemoryRequirements; - PFN_vkCreateBuffer VMA_NULLABLE vkCreateBuffer; - PFN_vkDestroyBuffer VMA_NULLABLE vkDestroyBuffer; - PFN_vkCreateImage VMA_NULLABLE vkCreateImage; - PFN_vkDestroyImage VMA_NULLABLE vkDestroyImage; - PFN_vkCmdCopyBuffer VMA_NULLABLE vkCmdCopyBuffer; -#if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 - /// Fetch "vkGetBufferMemoryRequirements2" on Vulkan >= 1.1, fetch "vkGetBufferMemoryRequirements2KHR" when using VK_KHR_dedicated_allocation extension. - PFN_vkGetBufferMemoryRequirements2KHR VMA_NULLABLE vkGetBufferMemoryRequirements2KHR; - /// Fetch "vkGetImageMemoryRequirements2" on Vulkan >= 1.1, fetch "vkGetImageMemoryRequirements2KHR" when using VK_KHR_dedicated_allocation extension. - PFN_vkGetImageMemoryRequirements2KHR VMA_NULLABLE vkGetImageMemoryRequirements2KHR; -#endif -#if VMA_BIND_MEMORY2 || VMA_VULKAN_VERSION >= 1001000 - /// Fetch "vkBindBufferMemory2" on Vulkan >= 1.1, fetch "vkBindBufferMemory2KHR" when using VK_KHR_bind_memory2 extension. - PFN_vkBindBufferMemory2KHR VMA_NULLABLE vkBindBufferMemory2KHR; - /// Fetch "vkBindImageMemory2" on Vulkan >= 1.1, fetch "vkBindImageMemory2KHR" when using VK_KHR_bind_memory2 extension. - PFN_vkBindImageMemory2KHR VMA_NULLABLE vkBindImageMemory2KHR; -#endif -#if VMA_MEMORY_BUDGET || VMA_VULKAN_VERSION >= 1001000 - PFN_vkGetPhysicalDeviceMemoryProperties2KHR VMA_NULLABLE vkGetPhysicalDeviceMemoryProperties2KHR; -#endif -#if VMA_VULKAN_VERSION >= 1003000 - /// Fetch from "vkGetDeviceBufferMemoryRequirements" on Vulkan >= 1.3, but you can also fetch it from "vkGetDeviceBufferMemoryRequirementsKHR" if you enabled extension VK_KHR_maintenance4. - PFN_vkGetDeviceBufferMemoryRequirements VMA_NULLABLE vkGetDeviceBufferMemoryRequirements; - /// Fetch from "vkGetDeviceImageMemoryRequirements" on Vulkan >= 1.3, but you can also fetch it from "vkGetDeviceImageMemoryRequirementsKHR" if you enabled extension VK_KHR_maintenance4. - PFN_vkGetDeviceImageMemoryRequirements VMA_NULLABLE vkGetDeviceImageMemoryRequirements; -#endif -} VmaVulkanFunctions; - -/// Description of a Allocator to be created. -typedef struct VmaAllocatorCreateInfo -{ - /// Flags for created allocator. Use #VmaAllocatorCreateFlagBits enum. - VmaAllocatorCreateFlags flags; - /// Vulkan physical device. - /** It must be valid throughout whole lifetime of created allocator. */ - VkPhysicalDevice VMA_NOT_NULL physicalDevice; - /// Vulkan device. - /** It must be valid throughout whole lifetime of created allocator. */ - VkDevice VMA_NOT_NULL device; - /// Preferred size of a single `VkDeviceMemory` block to be allocated from large heaps > 1 GiB. Optional. - /** Set to 0 to use default, which is currently 256 MiB. */ - VkDeviceSize preferredLargeHeapBlockSize; - /// Custom CPU memory allocation callbacks. Optional. - /** Optional, can be null. When specified, will also be used for all CPU-side memory allocations. */ - const VkAllocationCallbacks* VMA_NULLABLE pAllocationCallbacks; - /// Informative callbacks for `vkAllocateMemory`, `vkFreeMemory`. Optional. - /** Optional, can be null. */ - const VmaDeviceMemoryCallbacks* VMA_NULLABLE pDeviceMemoryCallbacks; - /** \brief Either null or a pointer to an array of limits on maximum number of bytes that can be allocated out of particular Vulkan memory heap. - - If not NULL, it must be a pointer to an array of - `VkPhysicalDeviceMemoryProperties::memoryHeapCount` elements, defining limit on - maximum number of bytes that can be allocated out of particular Vulkan memory - heap. - - Any of the elements may be equal to `VK_WHOLE_SIZE`, which means no limit on that - heap. This is also the default in case of `pHeapSizeLimit` = NULL. - - If there is a limit defined for a heap: - - - If user tries to allocate more memory from that heap using this allocator, - the allocation fails with `VK_ERROR_OUT_OF_DEVICE_MEMORY`. - - If the limit is smaller than heap size reported in `VkMemoryHeap::size`, the - value of this limit will be reported instead when using vmaGetMemoryProperties(). - - Warning! Using this feature may not be equivalent to installing a GPU with - smaller amount of memory, because graphics driver doesn't necessary fail new - allocations with `VK_ERROR_OUT_OF_DEVICE_MEMORY` result when memory capacity is - exceeded. It may return success and just silently migrate some device memory - blocks to system RAM. This driver behavior can also be controlled using - VK_AMD_memory_overallocation_behavior extension. - */ - const VkDeviceSize* VMA_NULLABLE VMA_LEN_IF_NOT_NULL("VkPhysicalDeviceMemoryProperties::memoryHeapCount") pHeapSizeLimit; - - /** \brief Pointers to Vulkan functions. Can be null. - - For details see [Pointers to Vulkan functions](@ref config_Vulkan_functions). - */ - const VmaVulkanFunctions* VMA_NULLABLE pVulkanFunctions; - /** \brief Handle to Vulkan instance object. - - Starting from version 3.0.0 this member is no longer optional, it must be set! - */ - VkInstance VMA_NOT_NULL instance; - /** \brief Optional. The highest version of Vulkan that the application is designed to use. - - It must be a value in the format as created by macro `VK_MAKE_VERSION` or a constant like: `VK_API_VERSION_1_1`, `VK_API_VERSION_1_0`. - The patch version number specified is ignored. Only the major and minor versions are considered. - It must be less or equal (preferably equal) to value as passed to `vkCreateInstance` as `VkApplicationInfo::apiVersion`. - Only versions 1.0, 1.1, 1.2, 1.3 are supported by the current implementation. - Leaving it initialized to zero is equivalent to `VK_API_VERSION_1_0`. - */ - uint32_t vulkanApiVersion; -#if VMA_EXTERNAL_MEMORY - /** \brief Either null or a pointer to an array of external memory handle types for each Vulkan memory type. - - If not NULL, it must be a pointer to an array of `VkPhysicalDeviceMemoryProperties::memoryTypeCount` - elements, defining external memory handle types of particular Vulkan memory type, - to be passed using `VkExportMemoryAllocateInfoKHR`. - - Any of the elements may be equal to 0, which means not to use `VkExportMemoryAllocateInfoKHR` on this memory type. - This is also the default in case of `pTypeExternalMemoryHandleTypes` = NULL. - */ - const VkExternalMemoryHandleTypeFlagsKHR* VMA_NULLABLE VMA_LEN_IF_NOT_NULL("VkPhysicalDeviceMemoryProperties::memoryTypeCount") pTypeExternalMemoryHandleTypes; -#endif // #if VMA_EXTERNAL_MEMORY -} VmaAllocatorCreateInfo; - -/// Information about existing #VmaAllocator object. -typedef struct VmaAllocatorInfo -{ - /** \brief Handle to Vulkan instance object. - - This is the same value as has been passed through VmaAllocatorCreateInfo::instance. - */ - VkInstance VMA_NOT_NULL instance; - /** \brief Handle to Vulkan physical device object. - - This is the same value as has been passed through VmaAllocatorCreateInfo::physicalDevice. - */ - VkPhysicalDevice VMA_NOT_NULL physicalDevice; - /** \brief Handle to Vulkan device object. - - This is the same value as has been passed through VmaAllocatorCreateInfo::device. - */ - VkDevice VMA_NOT_NULL device; -} VmaAllocatorInfo; - -/** @} */ - -/** -\addtogroup group_stats -@{ -*/ - -/** \brief Calculated statistics of memory usage e.g. in a specific memory type, heap, custom pool, or total. - -These are fast to calculate. -See functions: vmaGetHeapBudgets(), vmaGetPoolStatistics(). -*/ -typedef struct VmaStatistics -{ - /** \brief Number of `VkDeviceMemory` objects - Vulkan memory blocks allocated. - */ - uint32_t blockCount; - /** \brief Number of #VmaAllocation objects allocated. - - Dedicated allocations have their own blocks, so each one adds 1 to `allocationCount` as well as `blockCount`. - */ - uint32_t allocationCount; - /** \brief Number of bytes allocated in `VkDeviceMemory` blocks. - - \note To avoid confusion, please be aware that what Vulkan calls an "allocation" - a whole `VkDeviceMemory` object - (e.g. as in `VkPhysicalDeviceLimits::maxMemoryAllocationCount`) is called a "block" in VMA, while VMA calls - "allocation" a #VmaAllocation object that represents a memory region sub-allocated from such block, usually for a single buffer or image. - */ - VkDeviceSize blockBytes; - /** \brief Total number of bytes occupied by all #VmaAllocation objects. - - Always less or equal than `blockBytes`. - Difference `(blockBytes - allocationBytes)` is the amount of memory allocated from Vulkan - but unused by any #VmaAllocation. - */ - VkDeviceSize allocationBytes; -} VmaStatistics; - -/** \brief More detailed statistics than #VmaStatistics. - -These are slower to calculate. Use for debugging purposes. -See functions: vmaCalculateStatistics(), vmaCalculatePoolStatistics(). - -Previous version of the statistics API provided averages, but they have been removed -because they can be easily calculated as: - -\code -VkDeviceSize allocationSizeAvg = detailedStats.statistics.allocationBytes / detailedStats.statistics.allocationCount; -VkDeviceSize unusedBytes = detailedStats.statistics.blockBytes - detailedStats.statistics.allocationBytes; -VkDeviceSize unusedRangeSizeAvg = unusedBytes / detailedStats.unusedRangeCount; -\endcode -*/ -typedef struct VmaDetailedStatistics -{ - /// Basic statistics. - VmaStatistics statistics; - /// Number of free ranges of memory between allocations. - uint32_t unusedRangeCount; - /// Smallest allocation size. `VK_WHOLE_SIZE` if there are 0 allocations. - VkDeviceSize allocationSizeMin; - /// Largest allocation size. 0 if there are 0 allocations. - VkDeviceSize allocationSizeMax; - /// Smallest empty range size. `VK_WHOLE_SIZE` if there are 0 empty ranges. - VkDeviceSize unusedRangeSizeMin; - /// Largest empty range size. 0 if there are 0 empty ranges. - VkDeviceSize unusedRangeSizeMax; -} VmaDetailedStatistics; - -/** \brief General statistics from current state of the Allocator - -total memory usage across all memory heaps and types. - -These are slower to calculate. Use for debugging purposes. -See function vmaCalculateStatistics(). -*/ -typedef struct VmaTotalStatistics -{ - VmaDetailedStatistics memoryType[VK_MAX_MEMORY_TYPES]; - VmaDetailedStatistics memoryHeap[VK_MAX_MEMORY_HEAPS]; - VmaDetailedStatistics total; -} VmaTotalStatistics; - -/** \brief Statistics of current memory usage and available budget for a specific memory heap. - -These are fast to calculate. -See function vmaGetHeapBudgets(). -*/ -typedef struct VmaBudget -{ - /** \brief Statistics fetched from the library. - */ - VmaStatistics statistics; - /** \brief Estimated current memory usage of the program, in bytes. - - Fetched from system using VK_EXT_memory_budget extension if enabled. - - It might be different than `statistics.blockBytes` (usually higher) due to additional implicit objects - also occupying the memory, like swapchain, pipelines, descriptor heaps, command buffers, or - `VkDeviceMemory` blocks allocated outside of this library, if any. - */ - VkDeviceSize usage; - /** \brief Estimated amount of memory available to the program, in bytes. - - Fetched from system using VK_EXT_memory_budget extension if enabled. - - It might be different (most probably smaller) than `VkMemoryHeap::size[heapIndex]` due to factors - external to the program, decided by the operating system. - Difference `budget - usage` is the amount of additional memory that can probably - be allocated without problems. Exceeding the budget may result in various problems. - */ - VkDeviceSize budget; -} VmaBudget; - -/** @} */ - -/** -\addtogroup group_alloc -@{ -*/ - -/** \brief Parameters of new #VmaAllocation. - -To be used with functions like vmaCreateBuffer(), vmaCreateImage(), and many others. -*/ -typedef struct VmaAllocationCreateInfo -{ - /// Use #VmaAllocationCreateFlagBits enum. - VmaAllocationCreateFlags flags; - /** \brief Intended usage of memory. - - You can leave #VMA_MEMORY_USAGE_UNKNOWN if you specify memory requirements in other way. \n - If `pool` is not null, this member is ignored. - */ - VmaMemoryUsage usage; - /** \brief Flags that must be set in a Memory Type chosen for an allocation. - - Leave 0 if you specify memory requirements in other way. \n - If `pool` is not null, this member is ignored.*/ - VkMemoryPropertyFlags requiredFlags; - /** \brief Flags that preferably should be set in a memory type chosen for an allocation. - - Set to 0 if no additional flags are preferred. \n - If `pool` is not null, this member is ignored. */ - VkMemoryPropertyFlags preferredFlags; - /** \brief Bitmask containing one bit set for every memory type acceptable for this allocation. - - Value 0 is equivalent to `UINT32_MAX` - it means any memory type is accepted if - it meets other requirements specified by this structure, with no further - restrictions on memory type index. \n - If `pool` is not null, this member is ignored. - */ - uint32_t memoryTypeBits; - /** \brief Pool that this allocation should be created in. - - Leave `VK_NULL_HANDLE` to allocate from default pool. If not null, members: - `usage`, `requiredFlags`, `preferredFlags`, `memoryTypeBits` are ignored. - */ - VmaPool VMA_NULLABLE pool; - /** \brief Custom general-purpose pointer that will be stored in #VmaAllocation, can be read as VmaAllocationInfo::pUserData and changed using vmaSetAllocationUserData(). - - If #VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT is used, it must be either - null or pointer to a null-terminated string. The string will be then copied to - internal buffer, so it doesn't need to be valid after allocation call. - */ - void* VMA_NULLABLE pUserData; - /** \brief A floating-point value between 0 and 1, indicating the priority of the allocation relative to other memory allocations. - - It is used only when #VMA_ALLOCATOR_CREATE_EXT_MEMORY_PRIORITY_BIT flag was used during creation of the #VmaAllocator object - and this allocation ends up as dedicated or is explicitly forced as dedicated using #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. - Otherwise, it has the priority of a memory block where it is placed and this variable is ignored. - */ - float priority; -} VmaAllocationCreateInfo; - -/// Describes parameter of created #VmaPool. -typedef struct VmaPoolCreateInfo -{ - /** \brief Vulkan memory type index to allocate this pool from. - */ - uint32_t memoryTypeIndex; - /** \brief Use combination of #VmaPoolCreateFlagBits. - */ - VmaPoolCreateFlags flags; - /** \brief Size of a single `VkDeviceMemory` block to be allocated as part of this pool, in bytes. Optional. - - Specify nonzero to set explicit, constant size of memory blocks used by this - pool. - - Leave 0 to use default and let the library manage block sizes automatically. - Sizes of particular blocks may vary. - In this case, the pool will also support dedicated allocations. - */ - VkDeviceSize blockSize; - /** \brief Minimum number of blocks to be always allocated in this pool, even if they stay empty. - - Set to 0 to have no preallocated blocks and allow the pool be completely empty. - */ - size_t minBlockCount; - /** \brief Maximum number of blocks that can be allocated in this pool. Optional. - - Set to 0 to use default, which is `SIZE_MAX`, which means no limit. - - Set to same value as VmaPoolCreateInfo::minBlockCount to have fixed amount of memory allocated - throughout whole lifetime of this pool. - */ - size_t maxBlockCount; - /** \brief A floating-point value between 0 and 1, indicating the priority of the allocations in this pool relative to other memory allocations. - - It is used only when #VMA_ALLOCATOR_CREATE_EXT_MEMORY_PRIORITY_BIT flag was used during creation of the #VmaAllocator object. - Otherwise, this variable is ignored. - */ - float priority; - /** \brief Additional minimum alignment to be used for all allocations created from this pool. Can be 0. - - Leave 0 (default) not to impose any additional alignment. If not 0, it must be a power of two. - It can be useful in cases where alignment returned by Vulkan by functions like `vkGetBufferMemoryRequirements` is not enough, - e.g. when doing interop with OpenGL. - */ - VkDeviceSize minAllocationAlignment; - /** \brief Additional `pNext` chain to be attached to `VkMemoryAllocateInfo` used for every allocation made by this pool. Optional. - - Optional, can be null. If not null, it must point to a `pNext` chain of structures that can be attached to `VkMemoryAllocateInfo`. - It can be useful for special needs such as adding `VkExportMemoryAllocateInfoKHR`. - Structures pointed by this member must remain alive and unchanged for the whole lifetime of the custom pool. - - Please note that some structures, e.g. `VkMemoryPriorityAllocateInfoEXT`, `VkMemoryDedicatedAllocateInfoKHR`, - can be attached automatically by this library when using other, more convenient of its features. - */ - void* VMA_NULLABLE pMemoryAllocateNext; -} VmaPoolCreateInfo; - -/** @} */ - -/** -\addtogroup group_alloc -@{ -*/ - -/// Parameters of #VmaAllocation objects, that can be retrieved using function vmaGetAllocationInfo(). -typedef struct VmaAllocationInfo -{ - /** \brief Memory type index that this allocation was allocated from. - - It never changes. - */ - uint32_t memoryType; - /** \brief Handle to Vulkan memory object. - - Same memory object can be shared by multiple allocations. - - It can change after the allocation is moved during \ref defragmentation. - */ - VkDeviceMemory VMA_NULLABLE_NON_DISPATCHABLE deviceMemory; - /** \brief Offset in `VkDeviceMemory` object to the beginning of this allocation, in bytes. `(deviceMemory, offset)` pair is unique to this allocation. - - You usually don't need to use this offset. If you create a buffer or an image together with the allocation using e.g. function - vmaCreateBuffer(), vmaCreateImage(), functions that operate on these resources refer to the beginning of the buffer or image, - not entire device memory block. Functions like vmaMapMemory(), vmaBindBufferMemory() also refer to the beginning of the allocation - and apply this offset automatically. - - It can change after the allocation is moved during \ref defragmentation. - */ - VkDeviceSize offset; - /** \brief Size of this allocation, in bytes. - - It never changes. - - \note Allocation size returned in this variable may be greater than the size - requested for the resource e.g. as `VkBufferCreateInfo::size`. Whole size of the - allocation is accessible for operations on memory e.g. using a pointer after - mapping with vmaMapMemory(), but operations on the resource e.g. using - `vkCmdCopyBuffer` must be limited to the size of the resource. - */ - VkDeviceSize size; - /** \brief Pointer to the beginning of this allocation as mapped data. - - If the allocation hasn't been mapped using vmaMapMemory() and hasn't been - created with #VMA_ALLOCATION_CREATE_MAPPED_BIT flag, this value is null. - - It can change after call to vmaMapMemory(), vmaUnmapMemory(). - It can also change after the allocation is moved during \ref defragmentation. - */ - void* VMA_NULLABLE pMappedData; - /** \brief Custom general-purpose pointer that was passed as VmaAllocationCreateInfo::pUserData or set using vmaSetAllocationUserData(). - - It can change after call to vmaSetAllocationUserData() for this allocation. - */ - void* VMA_NULLABLE pUserData; - /** \brief Custom allocation name that was set with vmaSetAllocationName(). - - It can change after call to vmaSetAllocationName() for this allocation. - - Another way to set custom name is to pass it in VmaAllocationCreateInfo::pUserData with - additional flag #VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT set [DEPRECATED]. - */ - const char* VMA_NULLABLE pName; -} VmaAllocationInfo; - -/** \brief Parameters for defragmentation. - -To be used with function vmaBeginDefragmentation(). -*/ -typedef struct VmaDefragmentationInfo -{ - /// \brief Use combination of #VmaDefragmentationFlagBits. - VmaDefragmentationFlags flags; - /** \brief Custom pool to be defragmented. - - If null then default pools will undergo defragmentation process. - */ - VmaPool VMA_NULLABLE pool; - /** \brief Maximum numbers of bytes that can be copied during single pass, while moving allocations to different places. - - `0` means no limit. - */ - VkDeviceSize maxBytesPerPass; - /** \brief Maximum number of allocations that can be moved during single pass to a different place. - - `0` means no limit. - */ - uint32_t maxAllocationsPerPass; -} VmaDefragmentationInfo; - -/// Single move of an allocation to be done for defragmentation. -typedef struct VmaDefragmentationMove -{ - /// Operation to be performed on the allocation by vmaEndDefragmentationPass(). Default value is #VMA_DEFRAGMENTATION_MOVE_OPERATION_COPY. You can modify it. - VmaDefragmentationMoveOperation operation; - /// Allocation that should be moved. - VmaAllocation VMA_NOT_NULL srcAllocation; - /** \brief Temporary allocation pointing to destination memory that will replace `srcAllocation`. - - \warning Do not store this allocation in your data structures! It exists only temporarily, for the duration of the defragmentation pass, - to be used for binding new buffer/image to the destination memory using e.g. vmaBindBufferMemory(). - vmaEndDefragmentationPass() will destroy it and make `srcAllocation` point to this memory. - */ - VmaAllocation VMA_NOT_NULL dstTmpAllocation; -} VmaDefragmentationMove; - -/** \brief Parameters for incremental defragmentation steps. - -To be used with function vmaBeginDefragmentationPass(). -*/ -typedef struct VmaDefragmentationPassMoveInfo -{ - /// Number of elements in the `pMoves` array. - uint32_t moveCount; - /** \brief Array of moves to be performed by the user in the current defragmentation pass. - - Pointer to an array of `moveCount` elements, owned by VMA, created in vmaBeginDefragmentationPass(), destroyed in vmaEndDefragmentationPass(). - - For each element, you should: - - 1. Create a new buffer/image in the place pointed by VmaDefragmentationMove::dstMemory + VmaDefragmentationMove::dstOffset. - 2. Copy data from the VmaDefragmentationMove::srcAllocation e.g. using `vkCmdCopyBuffer`, `vkCmdCopyImage`. - 3. Make sure these commands finished executing on the GPU. - 4. Destroy the old buffer/image. - - Only then you can finish defragmentation pass by calling vmaEndDefragmentationPass(). - After this call, the allocation will point to the new place in memory. - - Alternatively, if you cannot move specific allocation, you can set VmaDefragmentationMove::operation to #VMA_DEFRAGMENTATION_MOVE_OPERATION_IGNORE. - - Alternatively, if you decide you want to completely remove the allocation: - - 1. Destroy its buffer/image. - 2. Set VmaDefragmentationMove::operation to #VMA_DEFRAGMENTATION_MOVE_OPERATION_DESTROY. - - Then, after vmaEndDefragmentationPass() the allocation will be freed. - */ - VmaDefragmentationMove* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(moveCount) pMoves; -} VmaDefragmentationPassMoveInfo; - -/// Statistics returned for defragmentation process in function vmaEndDefragmentation(). -typedef struct VmaDefragmentationStats -{ - /// Total number of bytes that have been copied while moving allocations to different places. - VkDeviceSize bytesMoved; - /// Total number of bytes that have been released to the system by freeing empty `VkDeviceMemory` objects. - VkDeviceSize bytesFreed; - /// Number of allocations that have been moved to different places. - uint32_t allocationsMoved; - /// Number of empty `VkDeviceMemory` objects that have been released to the system. - uint32_t deviceMemoryBlocksFreed; -} VmaDefragmentationStats; - -/** @} */ - -/** -\addtogroup group_virtual -@{ -*/ - -/// Parameters of created #VmaVirtualBlock object to be passed to vmaCreateVirtualBlock(). -typedef struct VmaVirtualBlockCreateInfo -{ - /** \brief Total size of the virtual block. - - Sizes can be expressed in bytes or any units you want as long as you are consistent in using them. - For example, if you allocate from some array of structures, 1 can mean single instance of entire structure. - */ - VkDeviceSize size; - - /** \brief Use combination of #VmaVirtualBlockCreateFlagBits. - */ - VmaVirtualBlockCreateFlags flags; - - /** \brief Custom CPU memory allocation callbacks. Optional. - - Optional, can be null. When specified, they will be used for all CPU-side memory allocations. - */ - const VkAllocationCallbacks* VMA_NULLABLE pAllocationCallbacks; -} VmaVirtualBlockCreateInfo; - -/// Parameters of created virtual allocation to be passed to vmaVirtualAllocate(). -typedef struct VmaVirtualAllocationCreateInfo -{ - /** \brief Size of the allocation. - - Cannot be zero. - */ - VkDeviceSize size; - /** \brief Required alignment of the allocation. Optional. - - Must be power of two. Special value 0 has the same meaning as 1 - means no special alignment is required, so allocation can start at any offset. - */ - VkDeviceSize alignment; - /** \brief Use combination of #VmaVirtualAllocationCreateFlagBits. - */ - VmaVirtualAllocationCreateFlags flags; - /** \brief Custom pointer to be associated with the allocation. Optional. - - It can be any value and can be used for user-defined purposes. It can be fetched or changed later. - */ - void* VMA_NULLABLE pUserData; -} VmaVirtualAllocationCreateInfo; - -/// Parameters of an existing virtual allocation, returned by vmaGetVirtualAllocationInfo(). -typedef struct VmaVirtualAllocationInfo -{ - /** \brief Offset of the allocation. - - Offset at which the allocation was made. - */ - VkDeviceSize offset; - /** \brief Size of the allocation. - - Same value as passed in VmaVirtualAllocationCreateInfo::size. - */ - VkDeviceSize size; - /** \brief Custom pointer associated with the allocation. - - Same value as passed in VmaVirtualAllocationCreateInfo::pUserData or to vmaSetVirtualAllocationUserData(). - */ - void* VMA_NULLABLE pUserData; -} VmaVirtualAllocationInfo; - -/** @} */ - -#endif // _VMA_DATA_TYPES_DECLARATIONS - -#ifndef _VMA_FUNCTION_HEADERS - -/** -\addtogroup group_init -@{ -*/ - -/// Creates #VmaAllocator object. -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAllocator( - const VmaAllocatorCreateInfo* VMA_NOT_NULL pCreateInfo, - VmaAllocator VMA_NULLABLE* VMA_NOT_NULL pAllocator); - -/// Destroys allocator object. -VMA_CALL_PRE void VMA_CALL_POST vmaDestroyAllocator( - VmaAllocator VMA_NULLABLE allocator); - -/** \brief Returns information about existing #VmaAllocator object - handle to Vulkan device etc. - -It might be useful if you want to keep just the #VmaAllocator handle and fetch other required handles to -`VkPhysicalDevice`, `VkDevice` etc. every time using this function. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaGetAllocatorInfo( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocatorInfo* VMA_NOT_NULL pAllocatorInfo); - -/** -PhysicalDeviceProperties are fetched from physicalDevice by the allocator. -You can access it here, without fetching it again on your own. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaGetPhysicalDeviceProperties( - VmaAllocator VMA_NOT_NULL allocator, - const VkPhysicalDeviceProperties* VMA_NULLABLE* VMA_NOT_NULL ppPhysicalDeviceProperties); - -/** -PhysicalDeviceMemoryProperties are fetched from physicalDevice by the allocator. -You can access it here, without fetching it again on your own. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaGetMemoryProperties( - VmaAllocator VMA_NOT_NULL allocator, - const VkPhysicalDeviceMemoryProperties* VMA_NULLABLE* VMA_NOT_NULL ppPhysicalDeviceMemoryProperties); - -/** -\brief Given Memory Type Index, returns Property Flags of this memory type. - -This is just a convenience function. Same information can be obtained using -vmaGetMemoryProperties(). -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaGetMemoryTypeProperties( - VmaAllocator VMA_NOT_NULL allocator, - uint32_t memoryTypeIndex, - VkMemoryPropertyFlags* VMA_NOT_NULL pFlags); - -/** \brief Sets index of the current frame. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaSetCurrentFrameIndex( - VmaAllocator VMA_NOT_NULL allocator, - uint32_t frameIndex); - -/** @} */ - -/** -\addtogroup group_stats -@{ -*/ - -/** \brief Retrieves statistics from current state of the Allocator. - -This function is called "calculate" not "get" because it has to traverse all -internal data structures, so it may be quite slow. Use it for debugging purposes. -For faster but more brief statistics suitable to be called every frame or every allocation, -use vmaGetHeapBudgets(). - -Note that when using allocator from multiple threads, returned information may immediately -become outdated. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaCalculateStatistics( - VmaAllocator VMA_NOT_NULL allocator, - VmaTotalStatistics* VMA_NOT_NULL pStats); - -/** \brief Retrieves information about current memory usage and budget for all memory heaps. - -\param allocator -\param[out] pBudgets Must point to array with number of elements at least equal to number of memory heaps in physical device used. - -This function is called "get" not "calculate" because it is very fast, suitable to be called -every frame or every allocation. For more detailed statistics use vmaCalculateStatistics(). - -Note that when using allocator from multiple threads, returned information may immediately -become outdated. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaGetHeapBudgets( - VmaAllocator VMA_NOT_NULL allocator, - VmaBudget* VMA_NOT_NULL VMA_LEN_IF_NOT_NULL("VkPhysicalDeviceMemoryProperties::memoryHeapCount") pBudgets); - -/** @} */ - -/** -\addtogroup group_alloc -@{ -*/ - -/** -\brief Helps to find memoryTypeIndex, given memoryTypeBits and VmaAllocationCreateInfo. - -This algorithm tries to find a memory type that: - -- Is allowed by memoryTypeBits. -- Contains all the flags from pAllocationCreateInfo->requiredFlags. -- Matches intended usage. -- Has as many flags from pAllocationCreateInfo->preferredFlags as possible. - -\return Returns VK_ERROR_FEATURE_NOT_PRESENT if not found. Receiving such result -from this function or any other allocating function probably means that your -device doesn't support any memory type with requested features for the specific -type of resource you want to use it for. Please check parameters of your -resource, like image layout (OPTIMAL versus LINEAR) or mip level count. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaFindMemoryTypeIndex( - VmaAllocator VMA_NOT_NULL allocator, - uint32_t memoryTypeBits, - const VmaAllocationCreateInfo* VMA_NOT_NULL pAllocationCreateInfo, - uint32_t* VMA_NOT_NULL pMemoryTypeIndex); - -/** -\brief Helps to find memoryTypeIndex, given VkBufferCreateInfo and VmaAllocationCreateInfo. - -It can be useful e.g. to determine value to be used as VmaPoolCreateInfo::memoryTypeIndex. -It internally creates a temporary, dummy buffer that never has memory bound. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaFindMemoryTypeIndexForBufferInfo( - VmaAllocator VMA_NOT_NULL allocator, - const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, - const VmaAllocationCreateInfo* VMA_NOT_NULL pAllocationCreateInfo, - uint32_t* VMA_NOT_NULL pMemoryTypeIndex); - -/** -\brief Helps to find memoryTypeIndex, given VkImageCreateInfo and VmaAllocationCreateInfo. - -It can be useful e.g. to determine value to be used as VmaPoolCreateInfo::memoryTypeIndex. -It internally creates a temporary, dummy image that never has memory bound. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaFindMemoryTypeIndexForImageInfo( - VmaAllocator VMA_NOT_NULL allocator, - const VkImageCreateInfo* VMA_NOT_NULL pImageCreateInfo, - const VmaAllocationCreateInfo* VMA_NOT_NULL pAllocationCreateInfo, - uint32_t* VMA_NOT_NULL pMemoryTypeIndex); - -/** \brief Allocates Vulkan device memory and creates #VmaPool object. - -\param allocator Allocator object. -\param pCreateInfo Parameters of pool to create. -\param[out] pPool Handle to created pool. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreatePool( - VmaAllocator VMA_NOT_NULL allocator, - const VmaPoolCreateInfo* VMA_NOT_NULL pCreateInfo, - VmaPool VMA_NULLABLE* VMA_NOT_NULL pPool); - -/** \brief Destroys #VmaPool object and frees Vulkan device memory. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaDestroyPool( - VmaAllocator VMA_NOT_NULL allocator, - VmaPool VMA_NULLABLE pool); - -/** @} */ - -/** -\addtogroup group_stats -@{ -*/ - -/** \brief Retrieves statistics of existing #VmaPool object. - -\param allocator Allocator object. -\param pool Pool object. -\param[out] pPoolStats Statistics of specified pool. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaGetPoolStatistics( - VmaAllocator VMA_NOT_NULL allocator, - VmaPool VMA_NOT_NULL pool, - VmaStatistics* VMA_NOT_NULL pPoolStats); - -/** \brief Retrieves detailed statistics of existing #VmaPool object. - -\param allocator Allocator object. -\param pool Pool object. -\param[out] pPoolStats Statistics of specified pool. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaCalculatePoolStatistics( - VmaAllocator VMA_NOT_NULL allocator, - VmaPool VMA_NOT_NULL pool, - VmaDetailedStatistics* VMA_NOT_NULL pPoolStats); - -/** @} */ - -/** -\addtogroup group_alloc -@{ -*/ - -/** \brief Checks magic number in margins around all allocations in given memory pool in search for corruptions. - -Corruption detection is enabled only when `VMA_DEBUG_DETECT_CORRUPTION` macro is defined to nonzero, -`VMA_DEBUG_MARGIN` is defined to nonzero and the pool is created in memory type that is -`HOST_VISIBLE` and `HOST_COHERENT`. For more information, see [Corruption detection](@ref debugging_memory_usage_corruption_detection). - -Possible return values: - -- `VK_ERROR_FEATURE_NOT_PRESENT` - corruption detection is not enabled for specified pool. -- `VK_SUCCESS` - corruption detection has been performed and succeeded. -- `VK_ERROR_UNKNOWN` - corruption detection has been performed and found memory corruptions around one of the allocations. - `VMA_ASSERT` is also fired in that case. -- Other value: Error returned by Vulkan, e.g. memory mapping failure. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCheckPoolCorruption( - VmaAllocator VMA_NOT_NULL allocator, - VmaPool VMA_NOT_NULL pool); - -/** \brief Retrieves name of a custom pool. - -After the call `ppName` is either null or points to an internally-owned null-terminated string -containing name of the pool that was previously set. The pointer becomes invalid when the pool is -destroyed or its name is changed using vmaSetPoolName(). -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaGetPoolName( - VmaAllocator VMA_NOT_NULL allocator, - VmaPool VMA_NOT_NULL pool, - const char* VMA_NULLABLE* VMA_NOT_NULL ppName); - -/** \brief Sets name of a custom pool. - -`pName` can be either null or pointer to a null-terminated string with new name for the pool. -Function makes internal copy of the string, so it can be changed or freed immediately after this call. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaSetPoolName( - VmaAllocator VMA_NOT_NULL allocator, - VmaPool VMA_NOT_NULL pool, - const char* VMA_NULLABLE pName); - -/** \brief General purpose memory allocation. - -\param allocator -\param pVkMemoryRequirements -\param pCreateInfo -\param[out] pAllocation Handle to allocated memory. -\param[out] pAllocationInfo Optional. Information about allocated memory. It can be later fetched using function vmaGetAllocationInfo(). - -You should free the memory using vmaFreeMemory() or vmaFreeMemoryPages(). - -It is recommended to use vmaAllocateMemoryForBuffer(), vmaAllocateMemoryForImage(), -vmaCreateBuffer(), vmaCreateImage() instead whenever possible. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemory( - VmaAllocator VMA_NOT_NULL allocator, - const VkMemoryRequirements* VMA_NOT_NULL pVkMemoryRequirements, - const VmaAllocationCreateInfo* VMA_NOT_NULL pCreateInfo, - VmaAllocation VMA_NULLABLE* VMA_NOT_NULL pAllocation, - VmaAllocationInfo* VMA_NULLABLE pAllocationInfo); - -/** \brief General purpose memory allocation for multiple allocation objects at once. - -\param allocator Allocator object. -\param pVkMemoryRequirements Memory requirements for each allocation. -\param pCreateInfo Creation parameters for each allocation. -\param allocationCount Number of allocations to make. -\param[out] pAllocations Pointer to array that will be filled with handles to created allocations. -\param[out] pAllocationInfo Optional. Pointer to array that will be filled with parameters of created allocations. - -You should free the memory using vmaFreeMemory() or vmaFreeMemoryPages(). - -Word "pages" is just a suggestion to use this function to allocate pieces of memory needed for sparse binding. -It is just a general purpose allocation function able to make multiple allocations at once. -It may be internally optimized to be more efficient than calling vmaAllocateMemory() `allocationCount` times. - -All allocations are made using same parameters. All of them are created out of the same memory pool and type. -If any allocation fails, all allocations already made within this function call are also freed, so that when -returned result is not `VK_SUCCESS`, `pAllocation` array is always entirely filled with `VK_NULL_HANDLE`. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemoryPages( - VmaAllocator VMA_NOT_NULL allocator, - const VkMemoryRequirements* VMA_NOT_NULL VMA_LEN_IF_NOT_NULL(allocationCount) pVkMemoryRequirements, - const VmaAllocationCreateInfo* VMA_NOT_NULL VMA_LEN_IF_NOT_NULL(allocationCount) pCreateInfo, - size_t allocationCount, - VmaAllocation VMA_NULLABLE* VMA_NOT_NULL VMA_LEN_IF_NOT_NULL(allocationCount) pAllocations, - VmaAllocationInfo* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) pAllocationInfo); - -/** \brief Allocates memory suitable for given `VkBuffer`. - -\param allocator -\param buffer -\param pCreateInfo -\param[out] pAllocation Handle to allocated memory. -\param[out] pAllocationInfo Optional. Information about allocated memory. It can be later fetched using function vmaGetAllocationInfo(). - -It only creates #VmaAllocation. To bind the memory to the buffer, use vmaBindBufferMemory(). - -This is a special-purpose function. In most cases you should use vmaCreateBuffer(). - -You must free the allocation using vmaFreeMemory() when no longer needed. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemoryForBuffer( - VmaAllocator VMA_NOT_NULL allocator, - VkBuffer VMA_NOT_NULL_NON_DISPATCHABLE buffer, - const VmaAllocationCreateInfo* VMA_NOT_NULL pCreateInfo, - VmaAllocation VMA_NULLABLE* VMA_NOT_NULL pAllocation, - VmaAllocationInfo* VMA_NULLABLE pAllocationInfo); - -/** \brief Allocates memory suitable for given `VkImage`. - -\param allocator -\param image -\param pCreateInfo -\param[out] pAllocation Handle to allocated memory. -\param[out] pAllocationInfo Optional. Information about allocated memory. It can be later fetched using function vmaGetAllocationInfo(). - -It only creates #VmaAllocation. To bind the memory to the buffer, use vmaBindImageMemory(). - -This is a special-purpose function. In most cases you should use vmaCreateImage(). - -You must free the allocation using vmaFreeMemory() when no longer needed. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemoryForImage( - VmaAllocator VMA_NOT_NULL allocator, - VkImage VMA_NOT_NULL_NON_DISPATCHABLE image, - const VmaAllocationCreateInfo* VMA_NOT_NULL pCreateInfo, - VmaAllocation VMA_NULLABLE* VMA_NOT_NULL pAllocation, - VmaAllocationInfo* VMA_NULLABLE pAllocationInfo); - -/** \brief Frees memory previously allocated using vmaAllocateMemory(), vmaAllocateMemoryForBuffer(), or vmaAllocateMemoryForImage(). - -Passing `VK_NULL_HANDLE` as `allocation` is valid. Such function call is just skipped. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaFreeMemory( - VmaAllocator VMA_NOT_NULL allocator, - const VmaAllocation VMA_NULLABLE allocation); - -/** \brief Frees memory and destroys multiple allocations. - -Word "pages" is just a suggestion to use this function to free pieces of memory used for sparse binding. -It is just a general purpose function to free memory and destroy allocations made using e.g. vmaAllocateMemory(), -vmaAllocateMemoryPages() and other functions. -It may be internally optimized to be more efficient than calling vmaFreeMemory() `allocationCount` times. - -Allocations in `pAllocations` array can come from any memory pools and types. -Passing `VK_NULL_HANDLE` as elements of `pAllocations` array is valid. Such entries are just skipped. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaFreeMemoryPages( - VmaAllocator VMA_NOT_NULL allocator, - size_t allocationCount, - const VmaAllocation VMA_NULLABLE* VMA_NOT_NULL VMA_LEN_IF_NOT_NULL(allocationCount) pAllocations); - -/** \brief Returns current information about specified allocation. - -Current parameters of given allocation are returned in `pAllocationInfo`. - -Although this function doesn't lock any mutex, so it should be quite efficient, -you should avoid calling it too often. -You can retrieve same VmaAllocationInfo structure while creating your resource, from function -vmaCreateBuffer(), vmaCreateImage(). You can remember it if you are sure parameters don't change -(e.g. due to defragmentation). -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaGetAllocationInfo( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - VmaAllocationInfo* VMA_NOT_NULL pAllocationInfo); - -/** \brief Sets pUserData in given allocation to new value. - -The value of pointer `pUserData` is copied to allocation's `pUserData`. -It is opaque, so you can use it however you want - e.g. -as a pointer, ordinal number or some handle to you own data. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaSetAllocationUserData( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - void* VMA_NULLABLE pUserData); - -/** \brief Sets pName in given allocation to new value. - -`pName` must be either null, or pointer to a null-terminated string. The function -makes local copy of the string and sets it as allocation's `pName`. String -passed as pName doesn't need to be valid for whole lifetime of the allocation - -you can free it after this call. String previously pointed by allocation's -`pName` is freed from memory. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaSetAllocationName( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - const char* VMA_NULLABLE pName); - -/** -\brief Given an allocation, returns Property Flags of its memory type. - -This is just a convenience function. Same information can be obtained using -vmaGetAllocationInfo() + vmaGetMemoryProperties(). -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaGetAllocationMemoryProperties( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - VkMemoryPropertyFlags* VMA_NOT_NULL pFlags); - -/** \brief Maps memory represented by given allocation and returns pointer to it. - -Maps memory represented by given allocation to make it accessible to CPU code. -When succeeded, `*ppData` contains pointer to first byte of this memory. - -\warning -If the allocation is part of a bigger `VkDeviceMemory` block, returned pointer is -correctly offsetted to the beginning of region assigned to this particular allocation. -Unlike the result of `vkMapMemory`, it points to the allocation, not to the beginning of the whole block. -You should not add VmaAllocationInfo::offset to it! - -Mapping is internally reference-counted and synchronized, so despite raw Vulkan -function `vkMapMemory()` cannot be used to map same block of `VkDeviceMemory` -multiple times simultaneously, it is safe to call this function on allocations -assigned to the same memory block. Actual Vulkan memory will be mapped on first -mapping and unmapped on last unmapping. - -If the function succeeded, you must call vmaUnmapMemory() to unmap the -allocation when mapping is no longer needed or before freeing the allocation, at -the latest. - -It also safe to call this function multiple times on the same allocation. You -must call vmaUnmapMemory() same number of times as you called vmaMapMemory(). - -It is also safe to call this function on allocation created with -#VMA_ALLOCATION_CREATE_MAPPED_BIT flag. Its memory stays mapped all the time. -You must still call vmaUnmapMemory() same number of times as you called -vmaMapMemory(). You must not call vmaUnmapMemory() additional time to free the -"0-th" mapping made automatically due to #VMA_ALLOCATION_CREATE_MAPPED_BIT flag. - -This function fails when used on allocation made in memory type that is not -`HOST_VISIBLE`. - -This function doesn't automatically flush or invalidate caches. -If the allocation is made from a memory types that is not `HOST_COHERENT`, -you also need to use vmaInvalidateAllocation() / vmaFlushAllocation(), as required by Vulkan specification. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaMapMemory( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - void* VMA_NULLABLE* VMA_NOT_NULL ppData); - -/** \brief Unmaps memory represented by given allocation, mapped previously using vmaMapMemory(). - -For details, see description of vmaMapMemory(). - -This function doesn't automatically flush or invalidate caches. -If the allocation is made from a memory types that is not `HOST_COHERENT`, -you also need to use vmaInvalidateAllocation() / vmaFlushAllocation(), as required by Vulkan specification. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaUnmapMemory( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation); - -/** \brief Flushes memory of given allocation. - -Calls `vkFlushMappedMemoryRanges()` for memory associated with given range of given allocation. -It needs to be called after writing to a mapped memory for memory types that are not `HOST_COHERENT`. -Unmap operation doesn't do that automatically. - -- `offset` must be relative to the beginning of allocation. -- `size` can be `VK_WHOLE_SIZE`. It means all memory from `offset` the the end of given allocation. -- `offset` and `size` don't have to be aligned. - They are internally rounded down/up to multiply of `nonCoherentAtomSize`. -- If `size` is 0, this call is ignored. -- If memory type that the `allocation` belongs to is not `HOST_VISIBLE` or it is `HOST_COHERENT`, - this call is ignored. - -Warning! `offset` and `size` are relative to the contents of given `allocation`. -If you mean whole allocation, you can pass 0 and `VK_WHOLE_SIZE`, respectively. -Do not pass allocation's offset as `offset`!!! - -This function returns the `VkResult` from `vkFlushMappedMemoryRanges` if it is -called, otherwise `VK_SUCCESS`. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaFlushAllocation( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - VkDeviceSize offset, - VkDeviceSize size); - -/** \brief Invalidates memory of given allocation. - -Calls `vkInvalidateMappedMemoryRanges()` for memory associated with given range of given allocation. -It needs to be called before reading from a mapped memory for memory types that are not `HOST_COHERENT`. -Map operation doesn't do that automatically. - -- `offset` must be relative to the beginning of allocation. -- `size` can be `VK_WHOLE_SIZE`. It means all memory from `offset` the the end of given allocation. -- `offset` and `size` don't have to be aligned. - They are internally rounded down/up to multiply of `nonCoherentAtomSize`. -- If `size` is 0, this call is ignored. -- If memory type that the `allocation` belongs to is not `HOST_VISIBLE` or it is `HOST_COHERENT`, - this call is ignored. - -Warning! `offset` and `size` are relative to the contents of given `allocation`. -If you mean whole allocation, you can pass 0 and `VK_WHOLE_SIZE`, respectively. -Do not pass allocation's offset as `offset`!!! - -This function returns the `VkResult` from `vkInvalidateMappedMemoryRanges` if -it is called, otherwise `VK_SUCCESS`. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaInvalidateAllocation( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - VkDeviceSize offset, - VkDeviceSize size); - -/** \brief Flushes memory of given set of allocations. - -Calls `vkFlushMappedMemoryRanges()` for memory associated with given ranges of given allocations. -For more information, see documentation of vmaFlushAllocation(). - -\param allocator -\param allocationCount -\param allocations -\param offsets If not null, it must point to an array of offsets of regions to flush, relative to the beginning of respective allocations. Null means all ofsets are zero. -\param sizes If not null, it must point to an array of sizes of regions to flush in respective allocations. Null means `VK_WHOLE_SIZE` for all allocations. - -This function returns the `VkResult` from `vkFlushMappedMemoryRanges` if it is -called, otherwise `VK_SUCCESS`. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaFlushAllocations( - VmaAllocator VMA_NOT_NULL allocator, - uint32_t allocationCount, - const VmaAllocation VMA_NOT_NULL* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) allocations, - const VkDeviceSize* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) offsets, - const VkDeviceSize* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) sizes); - -/** \brief Invalidates memory of given set of allocations. - -Calls `vkInvalidateMappedMemoryRanges()` for memory associated with given ranges of given allocations. -For more information, see documentation of vmaInvalidateAllocation(). - -\param allocator -\param allocationCount -\param allocations -\param offsets If not null, it must point to an array of offsets of regions to flush, relative to the beginning of respective allocations. Null means all ofsets are zero. -\param sizes If not null, it must point to an array of sizes of regions to flush in respective allocations. Null means `VK_WHOLE_SIZE` for all allocations. - -This function returns the `VkResult` from `vkInvalidateMappedMemoryRanges` if it is -called, otherwise `VK_SUCCESS`. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaInvalidateAllocations( - VmaAllocator VMA_NOT_NULL allocator, - uint32_t allocationCount, - const VmaAllocation VMA_NOT_NULL* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) allocations, - const VkDeviceSize* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) offsets, - const VkDeviceSize* VMA_NULLABLE VMA_LEN_IF_NOT_NULL(allocationCount) sizes); - -/** \brief Checks magic number in margins around all allocations in given memory types (in both default and custom pools) in search for corruptions. - -\param allocator -\param memoryTypeBits Bit mask, where each bit set means that a memory type with that index should be checked. - -Corruption detection is enabled only when `VMA_DEBUG_DETECT_CORRUPTION` macro is defined to nonzero, -`VMA_DEBUG_MARGIN` is defined to nonzero and only for memory types that are -`HOST_VISIBLE` and `HOST_COHERENT`. For more information, see [Corruption detection](@ref debugging_memory_usage_corruption_detection). - -Possible return values: - -- `VK_ERROR_FEATURE_NOT_PRESENT` - corruption detection is not enabled for any of specified memory types. -- `VK_SUCCESS` - corruption detection has been performed and succeeded. -- `VK_ERROR_UNKNOWN` - corruption detection has been performed and found memory corruptions around one of the allocations. - `VMA_ASSERT` is also fired in that case. -- Other value: Error returned by Vulkan, e.g. memory mapping failure. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCheckCorruption( - VmaAllocator VMA_NOT_NULL allocator, - uint32_t memoryTypeBits); - -/** \brief Begins defragmentation process. - -\param allocator Allocator object. -\param pInfo Structure filled with parameters of defragmentation. -\param[out] pContext Context object that must be passed to vmaEndDefragmentation() to finish defragmentation. -\returns -- `VK_SUCCESS` if defragmentation can begin. -- `VK_ERROR_FEATURE_NOT_PRESENT` if defragmentation is not supported. - -For more information about defragmentation, see documentation chapter: -[Defragmentation](@ref defragmentation). -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaBeginDefragmentation( - VmaAllocator VMA_NOT_NULL allocator, - const VmaDefragmentationInfo* VMA_NOT_NULL pInfo, - VmaDefragmentationContext VMA_NULLABLE* VMA_NOT_NULL pContext); - -/** \brief Ends defragmentation process. - -\param allocator Allocator object. -\param context Context object that has been created by vmaBeginDefragmentation(). -\param[out] pStats Optional stats for the defragmentation. Can be null. - -Use this function to finish defragmentation started by vmaBeginDefragmentation(). -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaEndDefragmentation( - VmaAllocator VMA_NOT_NULL allocator, - VmaDefragmentationContext VMA_NOT_NULL context, - VmaDefragmentationStats* VMA_NULLABLE pStats); - -/** \brief Starts single defragmentation pass. - -\param allocator Allocator object. -\param context Context object that has been created by vmaBeginDefragmentation(). -\param[out] pPassInfo Computed information for current pass. -\returns -- `VK_SUCCESS` if no more moves are possible. Then you can omit call to vmaEndDefragmentationPass() and simply end whole defragmentation. -- `VK_INCOMPLETE` if there are pending moves returned in `pPassInfo`. You need to perform them, call vmaEndDefragmentationPass(), - and then preferably try another pass with vmaBeginDefragmentationPass(). -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaBeginDefragmentationPass( - VmaAllocator VMA_NOT_NULL allocator, - VmaDefragmentationContext VMA_NOT_NULL context, - VmaDefragmentationPassMoveInfo* VMA_NOT_NULL pPassInfo); - -/** \brief Ends single defragmentation pass. - -\param allocator Allocator object. -\param context Context object that has been created by vmaBeginDefragmentation(). -\param pPassInfo Computed information for current pass filled by vmaBeginDefragmentationPass() and possibly modified by you. - -Returns `VK_SUCCESS` if no more moves are possible or `VK_INCOMPLETE` if more defragmentations are possible. - -Ends incremental defragmentation pass and commits all defragmentation moves from `pPassInfo`. -After this call: - -- Allocations at `pPassInfo[i].srcAllocation` that had `pPassInfo[i].operation ==` #VMA_DEFRAGMENTATION_MOVE_OPERATION_COPY - (which is the default) will be pointing to the new destination place. -- Allocation at `pPassInfo[i].srcAllocation` that had `pPassInfo[i].operation ==` #VMA_DEFRAGMENTATION_MOVE_OPERATION_DESTROY - will be freed. - -If no more moves are possible you can end whole defragmentation. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaEndDefragmentationPass( - VmaAllocator VMA_NOT_NULL allocator, - VmaDefragmentationContext VMA_NOT_NULL context, - VmaDefragmentationPassMoveInfo* VMA_NOT_NULL pPassInfo); - -/** \brief Binds buffer to allocation. - -Binds specified buffer to region of memory represented by specified allocation. -Gets `VkDeviceMemory` handle and offset from the allocation. -If you want to create a buffer, allocate memory for it and bind them together separately, -you should use this function for binding instead of standard `vkBindBufferMemory()`, -because it ensures proper synchronization so that when a `VkDeviceMemory` object is used by multiple -allocations, calls to `vkBind*Memory()` or `vkMapMemory()` won't happen from multiple threads simultaneously -(which is illegal in Vulkan). - -It is recommended to use function vmaCreateBuffer() instead of this one. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindBufferMemory( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - VkBuffer VMA_NOT_NULL_NON_DISPATCHABLE buffer); - -/** \brief Binds buffer to allocation with additional parameters. - -\param allocator -\param allocation -\param allocationLocalOffset Additional offset to be added while binding, relative to the beginning of the `allocation`. Normally it should be 0. -\param buffer -\param pNext A chain of structures to be attached to `VkBindBufferMemoryInfoKHR` structure used internally. Normally it should be null. - -This function is similar to vmaBindBufferMemory(), but it provides additional parameters. - -If `pNext` is not null, #VmaAllocator object must have been created with #VMA_ALLOCATOR_CREATE_KHR_BIND_MEMORY2_BIT flag -or with VmaAllocatorCreateInfo::vulkanApiVersion `>= VK_API_VERSION_1_1`. Otherwise the call fails. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindBufferMemory2( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - VkDeviceSize allocationLocalOffset, - VkBuffer VMA_NOT_NULL_NON_DISPATCHABLE buffer, - const void* VMA_NULLABLE pNext); - -/** \brief Binds image to allocation. - -Binds specified image to region of memory represented by specified allocation. -Gets `VkDeviceMemory` handle and offset from the allocation. -If you want to create an image, allocate memory for it and bind them together separately, -you should use this function for binding instead of standard `vkBindImageMemory()`, -because it ensures proper synchronization so that when a `VkDeviceMemory` object is used by multiple -allocations, calls to `vkBind*Memory()` or `vkMapMemory()` won't happen from multiple threads simultaneously -(which is illegal in Vulkan). - -It is recommended to use function vmaCreateImage() instead of this one. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindImageMemory( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - VkImage VMA_NOT_NULL_NON_DISPATCHABLE image); - -/** \brief Binds image to allocation with additional parameters. - -\param allocator -\param allocation -\param allocationLocalOffset Additional offset to be added while binding, relative to the beginning of the `allocation`. Normally it should be 0. -\param image -\param pNext A chain of structures to be attached to `VkBindImageMemoryInfoKHR` structure used internally. Normally it should be null. - -This function is similar to vmaBindImageMemory(), but it provides additional parameters. - -If `pNext` is not null, #VmaAllocator object must have been created with #VMA_ALLOCATOR_CREATE_KHR_BIND_MEMORY2_BIT flag -or with VmaAllocatorCreateInfo::vulkanApiVersion `>= VK_API_VERSION_1_1`. Otherwise the call fails. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindImageMemory2( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - VkDeviceSize allocationLocalOffset, - VkImage VMA_NOT_NULL_NON_DISPATCHABLE image, - const void* VMA_NULLABLE pNext); - -/** \brief Creates a new `VkBuffer`, allocates and binds memory for it. - -\param allocator -\param pBufferCreateInfo -\param pAllocationCreateInfo -\param[out] pBuffer Buffer that was created. -\param[out] pAllocation Allocation that was created. -\param[out] pAllocationInfo Optional. Information about allocated memory. It can be later fetched using function vmaGetAllocationInfo(). - -This function automatically: - --# Creates buffer. --# Allocates appropriate memory for it. --# Binds the buffer with the memory. - -If any of these operations fail, buffer and allocation are not created, -returned value is negative error code, `*pBuffer` and `*pAllocation` are null. - -If the function succeeded, you must destroy both buffer and allocation when you -no longer need them using either convenience function vmaDestroyBuffer() or -separately, using `vkDestroyBuffer()` and vmaFreeMemory(). - -If #VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT flag was used, -VK_KHR_dedicated_allocation extension is used internally to query driver whether -it requires or prefers the new buffer to have dedicated allocation. If yes, -and if dedicated allocation is possible -(#VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT is not used), it creates dedicated -allocation for this buffer, just like when using -#VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. - -\note This function creates a new `VkBuffer`. Sub-allocation of parts of one large buffer, -although recommended as a good practice, is out of scope of this library and could be implemented -by the user as a higher-level logic on top of VMA. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateBuffer( - VmaAllocator VMA_NOT_NULL allocator, - const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, - const VmaAllocationCreateInfo* VMA_NOT_NULL pAllocationCreateInfo, - VkBuffer VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pBuffer, - VmaAllocation VMA_NULLABLE* VMA_NOT_NULL pAllocation, - VmaAllocationInfo* VMA_NULLABLE pAllocationInfo); - -/** \brief Creates a buffer with additional minimum alignment. - -Similar to vmaCreateBuffer() but provides additional parameter `minAlignment` which allows to specify custom, -minimum alignment to be used when placing the buffer inside a larger memory block, which may be needed e.g. -for interop with OpenGL. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateBufferWithAlignment( - VmaAllocator VMA_NOT_NULL allocator, - const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, - const VmaAllocationCreateInfo* VMA_NOT_NULL pAllocationCreateInfo, - VkDeviceSize minAlignment, - VkBuffer VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pBuffer, - VmaAllocation VMA_NULLABLE* VMA_NOT_NULL pAllocation, - VmaAllocationInfo* VMA_NULLABLE pAllocationInfo); - -/** \brief Creates a new `VkBuffer`, binds already created memory for it. - -\param allocator -\param allocation Allocation that provides memory to be used for binding new buffer to it. -\param pBufferCreateInfo -\param[out] pBuffer Buffer that was created. - -This function automatically: - --# Creates buffer. --# Binds the buffer with the supplied memory. - -If any of these operations fail, buffer is not created, -returned value is negative error code and `*pBuffer` is null. - -If the function succeeded, you must destroy the buffer when you -no longer need it using `vkDestroyBuffer()`. If you want to also destroy the corresponding -allocation you can use convenience function vmaDestroyBuffer(). - -\note There is a new version of this function augmented with parameter `allocationLocalOffset` - see vmaCreateAliasingBuffer2(). -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingBuffer( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, - VkBuffer VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pBuffer); - -/** \brief Creates a new `VkBuffer`, binds already created memory for it. - -\param allocator -\param allocation Allocation that provides memory to be used for binding new buffer to it. -\param allocationLocalOffset Additional offset to be added while binding, relative to the beginning of the allocation. Normally it should be 0. -\param pBufferCreateInfo -\param[out] pBuffer Buffer that was created. - -This function automatically: - --# Creates buffer. --# Binds the buffer with the supplied memory. - -If any of these operations fail, buffer is not created, -returned value is negative error code and `*pBuffer` is null. - -If the function succeeded, you must destroy the buffer when you -no longer need it using `vkDestroyBuffer()`. If you want to also destroy the corresponding -allocation you can use convenience function vmaDestroyBuffer(). - -\note This is a new version of the function augmented with parameter `allocationLocalOffset`. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingBuffer2( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - VkDeviceSize allocationLocalOffset, - const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, - VkBuffer VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pBuffer); - -/** \brief Destroys Vulkan buffer and frees allocated memory. - -This is just a convenience function equivalent to: - -\code -vkDestroyBuffer(device, buffer, allocationCallbacks); -vmaFreeMemory(allocator, allocation); -\endcode - -It is safe to pass null as buffer and/or allocation. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaDestroyBuffer( - VmaAllocator VMA_NOT_NULL allocator, - VkBuffer VMA_NULLABLE_NON_DISPATCHABLE buffer, - VmaAllocation VMA_NULLABLE allocation); - -/// Function similar to vmaCreateBuffer(). -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateImage( - VmaAllocator VMA_NOT_NULL allocator, - const VkImageCreateInfo* VMA_NOT_NULL pImageCreateInfo, - const VmaAllocationCreateInfo* VMA_NOT_NULL pAllocationCreateInfo, - VkImage VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pImage, - VmaAllocation VMA_NULLABLE* VMA_NOT_NULL pAllocation, - VmaAllocationInfo* VMA_NULLABLE pAllocationInfo); - -/// Function similar to vmaCreateAliasingBuffer() but for images. -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingImage( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - const VkImageCreateInfo* VMA_NOT_NULL pImageCreateInfo, - VkImage VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pImage); - -/// Function similar to vmaCreateAliasingBuffer2() but for images. -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingImage2( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - VkDeviceSize allocationLocalOffset, - const VkImageCreateInfo* VMA_NOT_NULL pImageCreateInfo, - VkImage VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pImage); - -/** \brief Destroys Vulkan image and frees allocated memory. - -This is just a convenience function equivalent to: - -\code -vkDestroyImage(device, image, allocationCallbacks); -vmaFreeMemory(allocator, allocation); -\endcode - -It is safe to pass null as image and/or allocation. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaDestroyImage( - VmaAllocator VMA_NOT_NULL allocator, - VkImage VMA_NULLABLE_NON_DISPATCHABLE image, - VmaAllocation VMA_NULLABLE allocation); - -/** @} */ - -/** -\addtogroup group_virtual -@{ -*/ - -/** \brief Creates new #VmaVirtualBlock object. - -\param pCreateInfo Parameters for creation. -\param[out] pVirtualBlock Returned virtual block object or `VMA_NULL` if creation failed. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateVirtualBlock( - const VmaVirtualBlockCreateInfo* VMA_NOT_NULL pCreateInfo, - VmaVirtualBlock VMA_NULLABLE* VMA_NOT_NULL pVirtualBlock); - -/** \brief Destroys #VmaVirtualBlock object. - -Please note that you should consciously handle virtual allocations that could remain unfreed in the block. -You should either free them individually using vmaVirtualFree() or call vmaClearVirtualBlock() -if you are sure this is what you want. If you do neither, an assert is called. - -If you keep pointers to some additional metadata associated with your virtual allocations in their `pUserData`, -don't forget to free them. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaDestroyVirtualBlock( - VmaVirtualBlock VMA_NULLABLE virtualBlock); - -/** \brief Returns true of the #VmaVirtualBlock is empty - contains 0 virtual allocations and has all its space available for new allocations. -*/ -VMA_CALL_PRE VkBool32 VMA_CALL_POST vmaIsVirtualBlockEmpty( - VmaVirtualBlock VMA_NOT_NULL virtualBlock); - -/** \brief Returns information about a specific virtual allocation within a virtual block, like its size and `pUserData` pointer. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaGetVirtualAllocationInfo( - VmaVirtualBlock VMA_NOT_NULL virtualBlock, - VmaVirtualAllocation VMA_NOT_NULL_NON_DISPATCHABLE allocation, VmaVirtualAllocationInfo* VMA_NOT_NULL pVirtualAllocInfo); - -/** \brief Allocates new virtual allocation inside given #VmaVirtualBlock. - -If the allocation fails due to not enough free space available, `VK_ERROR_OUT_OF_DEVICE_MEMORY` is returned -(despite the function doesn't ever allocate actual GPU memory). -`pAllocation` is then set to `VK_NULL_HANDLE` and `pOffset`, if not null, it set to `UINT64_MAX`. - -\param virtualBlock Virtual block -\param pCreateInfo Parameters for the allocation -\param[out] pAllocation Returned handle of the new allocation -\param[out] pOffset Returned offset of the new allocation. Optional, can be null. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaVirtualAllocate( - VmaVirtualBlock VMA_NOT_NULL virtualBlock, - const VmaVirtualAllocationCreateInfo* VMA_NOT_NULL pCreateInfo, - VmaVirtualAllocation VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pAllocation, - VkDeviceSize* VMA_NULLABLE pOffset); - -/** \brief Frees virtual allocation inside given #VmaVirtualBlock. - -It is correct to call this function with `allocation == VK_NULL_HANDLE` - it does nothing. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaVirtualFree( - VmaVirtualBlock VMA_NOT_NULL virtualBlock, - VmaVirtualAllocation VMA_NULLABLE_NON_DISPATCHABLE allocation); - -/** \brief Frees all virtual allocations inside given #VmaVirtualBlock. - -You must either call this function or free each virtual allocation individually with vmaVirtualFree() -before destroying a virtual block. Otherwise, an assert is called. - -If you keep pointer to some additional metadata associated with your virtual allocation in its `pUserData`, -don't forget to free it as well. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaClearVirtualBlock( - VmaVirtualBlock VMA_NOT_NULL virtualBlock); - -/** \brief Changes custom pointer associated with given virtual allocation. -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaSetVirtualAllocationUserData( - VmaVirtualBlock VMA_NOT_NULL virtualBlock, - VmaVirtualAllocation VMA_NOT_NULL_NON_DISPATCHABLE allocation, - void* VMA_NULLABLE pUserData); - -/** \brief Calculates and returns statistics about virtual allocations and memory usage in given #VmaVirtualBlock. - -This function is fast to call. For more detailed statistics, see vmaCalculateVirtualBlockStatistics(). -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaGetVirtualBlockStatistics( - VmaVirtualBlock VMA_NOT_NULL virtualBlock, - VmaStatistics* VMA_NOT_NULL pStats); - -/** \brief Calculates and returns detailed statistics about virtual allocations and memory usage in given #VmaVirtualBlock. - -This function is slow to call. Use for debugging purposes. -For less detailed statistics, see vmaGetVirtualBlockStatistics(). -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaCalculateVirtualBlockStatistics( - VmaVirtualBlock VMA_NOT_NULL virtualBlock, - VmaDetailedStatistics* VMA_NOT_NULL pStats); - -/** @} */ - -#if VMA_STATS_STRING_ENABLED -/** -\addtogroup group_stats -@{ -*/ - -/** \brief Builds and returns a null-terminated string in JSON format with information about given #VmaVirtualBlock. -\param virtualBlock Virtual block. -\param[out] ppStatsString Returned string. -\param detailedMap Pass `VK_FALSE` to only obtain statistics as returned by vmaCalculateVirtualBlockStatistics(). Pass `VK_TRUE` to also obtain full list of allocations and free spaces. - -Returned string must be freed using vmaFreeVirtualBlockStatsString(). -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaBuildVirtualBlockStatsString( - VmaVirtualBlock VMA_NOT_NULL virtualBlock, - char* VMA_NULLABLE* VMA_NOT_NULL ppStatsString, - VkBool32 detailedMap); - -/// Frees a string returned by vmaBuildVirtualBlockStatsString(). -VMA_CALL_PRE void VMA_CALL_POST vmaFreeVirtualBlockStatsString( - VmaVirtualBlock VMA_NOT_NULL virtualBlock, - char* VMA_NULLABLE pStatsString); - -/** \brief Builds and returns statistics as a null-terminated string in JSON format. -\param allocator -\param[out] ppStatsString Must be freed using vmaFreeStatsString() function. -\param detailedMap -*/ -VMA_CALL_PRE void VMA_CALL_POST vmaBuildStatsString( - VmaAllocator VMA_NOT_NULL allocator, - char* VMA_NULLABLE* VMA_NOT_NULL ppStatsString, - VkBool32 detailedMap); - -VMA_CALL_PRE void VMA_CALL_POST vmaFreeStatsString( - VmaAllocator VMA_NOT_NULL allocator, - char* VMA_NULLABLE pStatsString); - -/** @} */ - -#endif // VMA_STATS_STRING_ENABLED - -#endif // _VMA_FUNCTION_HEADERS - -#ifdef __cplusplus -} -#endif - -#endif // AMD_VULKAN_MEMORY_ALLOCATOR_H - -//////////////////////////////////////////////////////////////////////////////// -//////////////////////////////////////////////////////////////////////////////// -// -// IMPLEMENTATION -// -//////////////////////////////////////////////////////////////////////////////// -//////////////////////////////////////////////////////////////////////////////// - -// For Visual Studio IntelliSense. -#if defined(__cplusplus) && defined(__INTELLISENSE__) -#define VMA_IMPLEMENTATION -#endif - -#ifdef VMA_IMPLEMENTATION -#undef VMA_IMPLEMENTATION - -#include -#include -#include -#include -#include - -#ifdef _MSC_VER - #include // For functions like __popcnt, _BitScanForward etc. -#endif -#if __cplusplus >= 202002L || _MSVC_LANG >= 202002L // C++20 - #include // For std::popcount -#endif - -#if VMA_STATS_STRING_ENABLED - #include // For snprintf -#endif - -/******************************************************************************* -CONFIGURATION SECTION - -Define some of these macros before each #include of this header or change them -here if you need other then default behavior depending on your environment. -*/ -#ifndef _VMA_CONFIGURATION - -/* -Define this macro to 1 to make the library fetch pointers to Vulkan functions -internally, like: - - vulkanFunctions.vkAllocateMemory = &vkAllocateMemory; -*/ -#if !defined(VMA_STATIC_VULKAN_FUNCTIONS) && !defined(VK_NO_PROTOTYPES) - #define VMA_STATIC_VULKAN_FUNCTIONS 1 -#endif - -/* -Define this macro to 1 to make the library fetch pointers to Vulkan functions -internally, like: - - vulkanFunctions.vkAllocateMemory = (PFN_vkAllocateMemory)vkGetDeviceProcAddr(device, "vkAllocateMemory"); - -To use this feature in new versions of VMA you now have to pass -VmaVulkanFunctions::vkGetInstanceProcAddr and vkGetDeviceProcAddr as -VmaAllocatorCreateInfo::pVulkanFunctions. Other members can be null. -*/ -#if !defined(VMA_DYNAMIC_VULKAN_FUNCTIONS) - #define VMA_DYNAMIC_VULKAN_FUNCTIONS 1 -#endif - -#ifndef VMA_USE_STL_SHARED_MUTEX - #if __cplusplus >= 201703L || _MSVC_LANG >= 201703L // C++17 - #define VMA_USE_STL_SHARED_MUTEX 1 - // Visual studio defines __cplusplus properly only when passed additional parameter: /Zc:__cplusplus - // Otherwise it is always 199711L, despite shared_mutex works since Visual Studio 2015 Update 2. - #elif defined(_MSC_FULL_VER) && _MSC_FULL_VER >= 190023918 && __cplusplus == 199711L && _MSVC_LANG >= 201703L - #define VMA_USE_STL_SHARED_MUTEX 1 - #else - #define VMA_USE_STL_SHARED_MUTEX 0 - #endif -#endif - -/* -Define this macro to include custom header files without having to edit this file directly, e.g.: - - // Inside of "my_vma_configuration_user_includes.h": - - #include "my_custom_assert.h" // for MY_CUSTOM_ASSERT - #include "my_custom_min.h" // for my_custom_min - #include - #include - - // Inside a different file, which includes "vk_mem_alloc.h": - - #define VMA_CONFIGURATION_USER_INCLUDES_H "my_vma_configuration_user_includes.h" - #define VMA_ASSERT(expr) MY_CUSTOM_ASSERT(expr) - #define VMA_MIN(v1, v2) (my_custom_min(v1, v2)) - #include "vk_mem_alloc.h" - ... - -The following headers are used in this CONFIGURATION section only, so feel free to -remove them if not needed. -*/ -#if !defined(VMA_CONFIGURATION_USER_INCLUDES_H) - #include // for assert - #include // for min, max - #include -#else - #include VMA_CONFIGURATION_USER_INCLUDES_H -#endif - -#ifndef VMA_NULL - // Value used as null pointer. Define it to e.g.: nullptr, NULL, 0, (void*)0. - #define VMA_NULL nullptr -#endif - -#ifndef VMA_FALLTHROUGH - #if __cplusplus >= 201703L || _MSVC_LANG >= 201703L // C++17 - #define VMA_FALLTHROUGH [[fallthrough]] - #else - #define VMA_FALLTHROUGH - #endif -#endif - -// Normal assert to check for programmer's errors, especially in Debug configuration. -#ifndef VMA_ASSERT - #ifdef NDEBUG - #define VMA_ASSERT(expr) - #else - #define VMA_ASSERT(expr) assert(expr) - #endif -#endif - -// Assert that will be called very often, like inside data structures e.g. operator[]. -// Making it non-empty can make program slow. -#ifndef VMA_HEAVY_ASSERT - #ifdef NDEBUG - #define VMA_HEAVY_ASSERT(expr) - #else - #define VMA_HEAVY_ASSERT(expr) //VMA_ASSERT(expr) - #endif -#endif - -// If your compiler is not compatible with C++17 and definition of -// aligned_alloc() function is missing, uncommenting following line may help: - -//#include - -#if defined(__ANDROID_API__) && (__ANDROID_API__ < 16) -#include -static void* vma_aligned_alloc(size_t alignment, size_t size) -{ - // alignment must be >= sizeof(void*) - if(alignment < sizeof(void*)) - { - alignment = sizeof(void*); - } - - return memalign(alignment, size); -} -#elif defined(__APPLE__) || defined(__ANDROID__) || (defined(__linux__) && defined(__GLIBCXX__) && !defined(_GLIBCXX_HAVE_ALIGNED_ALLOC)) -#include - -#if defined(__APPLE__) -#include -#endif - -static void* vma_aligned_alloc(size_t alignment, size_t size) -{ - // Unfortunately, aligned_alloc causes VMA to crash due to it returning null pointers. (At least under 11.4) - // Therefore, for now disable this specific exception until a proper solution is found. - //#if defined(__APPLE__) && (defined(MAC_OS_X_VERSION_10_16) || defined(__IPHONE_14_0)) - //#if MAC_OS_X_VERSION_MAX_ALLOWED >= MAC_OS_X_VERSION_10_16 || __IPHONE_OS_VERSION_MAX_ALLOWED >= __IPHONE_14_0 - // // For C++14, usr/include/malloc/_malloc.h declares aligned_alloc()) only - // // with the MacOSX11.0 SDK in Xcode 12 (which is what adds - // // MAC_OS_X_VERSION_10_16), even though the function is marked - // // available for 10.15. That is why the preprocessor checks for 10.16 but - // // the __builtin_available checks for 10.15. - // // People who use C++17 could call aligned_alloc with the 10.15 SDK already. - // if (__builtin_available(macOS 10.15, iOS 13, *)) - // return aligned_alloc(alignment, size); - //#endif - //#endif - - // alignment must be >= sizeof(void*) - if(alignment < sizeof(void*)) - { - alignment = sizeof(void*); - } - - void *pointer; - if(posix_memalign(&pointer, alignment, size) == 0) - return pointer; - return VMA_NULL; -} -#elif defined(_WIN32) -static void* vma_aligned_alloc(size_t alignment, size_t size) -{ - return _aligned_malloc(size, alignment); -} -#elif __cplusplus >= 201703L || _MSVC_LANG >= 201703L // C++17 -static void* vma_aligned_alloc(size_t alignment, size_t size) -{ - return aligned_alloc(alignment, size); -} -#else -static void* vma_aligned_alloc(size_t alignment, size_t size) -{ - VMA_ASSERT(0 && "Could not implement aligned_alloc automatically. Please enable C++17 or later in your compiler or provide custom implementation of macro VMA_SYSTEM_ALIGNED_MALLOC (and VMA_SYSTEM_ALIGNED_FREE if needed) using the API of your system."); - return VMA_NULL; -} -#endif - -#if defined(_WIN32) -static void vma_aligned_free(void* ptr) -{ - _aligned_free(ptr); -} -#else -static void vma_aligned_free(void* VMA_NULLABLE ptr) -{ - free(ptr); -} -#endif - -#ifndef VMA_ALIGN_OF - #define VMA_ALIGN_OF(type) (alignof(type)) -#endif - -#ifndef VMA_SYSTEM_ALIGNED_MALLOC - #define VMA_SYSTEM_ALIGNED_MALLOC(size, alignment) vma_aligned_alloc((alignment), (size)) -#endif - -#ifndef VMA_SYSTEM_ALIGNED_FREE - // VMA_SYSTEM_FREE is the old name, but might have been defined by the user - #if defined(VMA_SYSTEM_FREE) - #define VMA_SYSTEM_ALIGNED_FREE(ptr) VMA_SYSTEM_FREE(ptr) - #else - #define VMA_SYSTEM_ALIGNED_FREE(ptr) vma_aligned_free(ptr) - #endif -#endif - -#ifndef VMA_COUNT_BITS_SET - // Returns number of bits set to 1 in (v) - #define VMA_COUNT_BITS_SET(v) VmaCountBitsSet(v) -#endif - -#ifndef VMA_BITSCAN_LSB - // Scans integer for index of first nonzero value from the Least Significant Bit (LSB). If mask is 0 then returns UINT8_MAX - #define VMA_BITSCAN_LSB(mask) VmaBitScanLSB(mask) -#endif - -#ifndef VMA_BITSCAN_MSB - // Scans integer for index of first nonzero value from the Most Significant Bit (MSB). If mask is 0 then returns UINT8_MAX - #define VMA_BITSCAN_MSB(mask) VmaBitScanMSB(mask) -#endif - -#ifndef VMA_MIN - #define VMA_MIN(v1, v2) ((std::min)((v1), (v2))) -#endif - -#ifndef VMA_MAX - #define VMA_MAX(v1, v2) ((std::max)((v1), (v2))) -#endif - -#ifndef VMA_SWAP - #define VMA_SWAP(v1, v2) std::swap((v1), (v2)) -#endif - -#ifndef VMA_SORT - #define VMA_SORT(beg, end, cmp) std::sort(beg, end, cmp) -#endif - -#ifndef VMA_DEBUG_LOG_FORMAT - #define VMA_DEBUG_LOG_FORMAT(format, ...) - /* - #define VMA_DEBUG_LOG_FORMAT(format, ...) do { \ - printf((format), __VA_ARGS__); \ - printf("\n"); \ - } while(false) - */ -#endif - -#ifndef VMA_DEBUG_LOG - #define VMA_DEBUG_LOG(str) VMA_DEBUG_LOG_FORMAT("%s", (str)) -#endif - -#ifndef VMA_CLASS_NO_COPY - #define VMA_CLASS_NO_COPY(className) \ - private: \ - className(const className&) = delete; \ - className& operator=(const className&) = delete; -#endif -#ifndef VMA_CLASS_NO_COPY_NO_MOVE - #define VMA_CLASS_NO_COPY_NO_MOVE(className) \ - private: \ - className(const className&) = delete; \ - className(className&&) = delete; \ - className& operator=(const className&) = delete; \ - className& operator=(className&&) = delete; -#endif - -// Define this macro to 1 to enable functions: vmaBuildStatsString, vmaFreeStatsString. -#if VMA_STATS_STRING_ENABLED - static inline void VmaUint32ToStr(char* VMA_NOT_NULL outStr, size_t strLen, uint32_t num) - { - snprintf(outStr, strLen, "%u", static_cast(num)); - } - static inline void VmaUint64ToStr(char* VMA_NOT_NULL outStr, size_t strLen, uint64_t num) - { - snprintf(outStr, strLen, "%llu", static_cast(num)); - } - static inline void VmaPtrToStr(char* VMA_NOT_NULL outStr, size_t strLen, const void* ptr) - { - snprintf(outStr, strLen, "%p", ptr); - } -#endif - -#ifndef VMA_MUTEX - class VmaMutex - { - VMA_CLASS_NO_COPY_NO_MOVE(VmaMutex) - public: - VmaMutex() { } - void Lock() { m_Mutex.lock(); } - void Unlock() { m_Mutex.unlock(); } - bool TryLock() { return m_Mutex.try_lock(); } - private: - std::mutex m_Mutex; - }; - #define VMA_MUTEX VmaMutex -#endif - -// Read-write mutex, where "read" is shared access, "write" is exclusive access. -#ifndef VMA_RW_MUTEX - #if VMA_USE_STL_SHARED_MUTEX - // Use std::shared_mutex from C++17. - #include - class VmaRWMutex - { - public: - void LockRead() { m_Mutex.lock_shared(); } - void UnlockRead() { m_Mutex.unlock_shared(); } - bool TryLockRead() { return m_Mutex.try_lock_shared(); } - void LockWrite() { m_Mutex.lock(); } - void UnlockWrite() { m_Mutex.unlock(); } - bool TryLockWrite() { return m_Mutex.try_lock(); } - private: - std::shared_mutex m_Mutex; - }; - #define VMA_RW_MUTEX VmaRWMutex - #elif defined(_WIN32) && defined(WINVER) && WINVER >= 0x0600 - // Use SRWLOCK from WinAPI. - // Minimum supported client = Windows Vista, server = Windows Server 2008. - class VmaRWMutex - { - public: - VmaRWMutex() { InitializeSRWLock(&m_Lock); } - void LockRead() { AcquireSRWLockShared(&m_Lock); } - void UnlockRead() { ReleaseSRWLockShared(&m_Lock); } - bool TryLockRead() { return TryAcquireSRWLockShared(&m_Lock) != FALSE; } - void LockWrite() { AcquireSRWLockExclusive(&m_Lock); } - void UnlockWrite() { ReleaseSRWLockExclusive(&m_Lock); } - bool TryLockWrite() { return TryAcquireSRWLockExclusive(&m_Lock) != FALSE; } - private: - SRWLOCK m_Lock; - }; - #define VMA_RW_MUTEX VmaRWMutex - #else - // Less efficient fallback: Use normal mutex. - class VmaRWMutex - { - public: - void LockRead() { m_Mutex.Lock(); } - void UnlockRead() { m_Mutex.Unlock(); } - bool TryLockRead() { return m_Mutex.TryLock(); } - void LockWrite() { m_Mutex.Lock(); } - void UnlockWrite() { m_Mutex.Unlock(); } - bool TryLockWrite() { return m_Mutex.TryLock(); } - private: - VMA_MUTEX m_Mutex; - }; - #define VMA_RW_MUTEX VmaRWMutex - #endif // #if VMA_USE_STL_SHARED_MUTEX -#endif // #ifndef VMA_RW_MUTEX - -/* -If providing your own implementation, you need to implement a subset of std::atomic. -*/ -#ifndef VMA_ATOMIC_UINT32 - #include - #define VMA_ATOMIC_UINT32 std::atomic -#endif - -#ifndef VMA_ATOMIC_UINT64 - #include - #define VMA_ATOMIC_UINT64 std::atomic -#endif - -#ifndef VMA_DEBUG_ALWAYS_DEDICATED_MEMORY - /** - Every allocation will have its own memory block. - Define to 1 for debugging purposes only. - */ - #define VMA_DEBUG_ALWAYS_DEDICATED_MEMORY (0) -#endif - -#ifndef VMA_MIN_ALIGNMENT - /** - Minimum alignment of all allocations, in bytes. - Set to more than 1 for debugging purposes. Must be power of two. - */ - #ifdef VMA_DEBUG_ALIGNMENT // Old name - #define VMA_MIN_ALIGNMENT VMA_DEBUG_ALIGNMENT - #else - #define VMA_MIN_ALIGNMENT (1) - #endif -#endif - -#ifndef VMA_DEBUG_MARGIN - /** - Minimum margin after every allocation, in bytes. - Set nonzero for debugging purposes only. - */ - #define VMA_DEBUG_MARGIN (0) -#endif - -#ifndef VMA_DEBUG_INITIALIZE_ALLOCATIONS - /** - Define this macro to 1 to automatically fill new allocations and destroyed - allocations with some bit pattern. - */ - #define VMA_DEBUG_INITIALIZE_ALLOCATIONS (0) -#endif - -#ifndef VMA_DEBUG_DETECT_CORRUPTION - /** - Define this macro to 1 together with non-zero value of VMA_DEBUG_MARGIN to - enable writing magic value to the margin after every allocation and - validating it, so that memory corruptions (out-of-bounds writes) are detected. - */ - #define VMA_DEBUG_DETECT_CORRUPTION (0) -#endif - -#ifndef VMA_DEBUG_GLOBAL_MUTEX - /** - Set this to 1 for debugging purposes only, to enable single mutex protecting all - entry calls to the library. Can be useful for debugging multithreading issues. - */ - #define VMA_DEBUG_GLOBAL_MUTEX (0) -#endif - -#ifndef VMA_DEBUG_MIN_BUFFER_IMAGE_GRANULARITY - /** - Minimum value for VkPhysicalDeviceLimits::bufferImageGranularity. - Set to more than 1 for debugging purposes only. Must be power of two. - */ - #define VMA_DEBUG_MIN_BUFFER_IMAGE_GRANULARITY (1) -#endif - -#ifndef VMA_DEBUG_DONT_EXCEED_MAX_MEMORY_ALLOCATION_COUNT - /* - Set this to 1 to make VMA never exceed VkPhysicalDeviceLimits::maxMemoryAllocationCount - and return error instead of leaving up to Vulkan implementation what to do in such cases. - */ - #define VMA_DEBUG_DONT_EXCEED_MAX_MEMORY_ALLOCATION_COUNT (0) -#endif - -#ifndef VMA_SMALL_HEAP_MAX_SIZE - /// Maximum size of a memory heap in Vulkan to consider it "small". - #define VMA_SMALL_HEAP_MAX_SIZE (1024ull * 1024 * 1024) -#endif - -#ifndef VMA_DEFAULT_LARGE_HEAP_BLOCK_SIZE - /// Default size of a block allocated as single VkDeviceMemory from a "large" heap. - #define VMA_DEFAULT_LARGE_HEAP_BLOCK_SIZE (256ull * 1024 * 1024) -#endif - -/* -Mapping hysteresis is a logic that launches when vmaMapMemory/vmaUnmapMemory is called -or a persistently mapped allocation is created and destroyed several times in a row. -It keeps additional +1 mapping of a device memory block to prevent calling actual -vkMapMemory/vkUnmapMemory too many times, which may improve performance and help -tools like RenderDoc. -*/ -#ifndef VMA_MAPPING_HYSTERESIS_ENABLED - #define VMA_MAPPING_HYSTERESIS_ENABLED 1 -#endif - -#define VMA_VALIDATE(cond) do { if(!(cond)) { \ - VMA_ASSERT(0 && "Validation failed: " #cond); \ - return false; \ - } } while(false) - -/******************************************************************************* -END OF CONFIGURATION -*/ -#endif // _VMA_CONFIGURATION - - -static const uint8_t VMA_ALLOCATION_FILL_PATTERN_CREATED = 0xDC; -static const uint8_t VMA_ALLOCATION_FILL_PATTERN_DESTROYED = 0xEF; -// Decimal 2139416166, float NaN, little-endian binary 66 E6 84 7F. -static const uint32_t VMA_CORRUPTION_DETECTION_MAGIC_VALUE = 0x7F84E666; - -// Copy of some Vulkan definitions so we don't need to check their existence just to handle few constants. -static const uint32_t VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD_COPY = 0x00000040; -static const uint32_t VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD_COPY = 0x00000080; -static const uint32_t VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT_COPY = 0x00020000; -static const uint32_t VK_IMAGE_CREATE_DISJOINT_BIT_COPY = 0x00000200; -static const int32_t VK_IMAGE_TILING_DRM_FORMAT_MODIFIER_EXT_COPY = 1000158000; -static const uint32_t VMA_ALLOCATION_INTERNAL_STRATEGY_MIN_OFFSET = 0x10000000u; -static const uint32_t VMA_ALLOCATION_TRY_COUNT = 32; -static const uint32_t VMA_VENDOR_ID_AMD = 4098; - -// This one is tricky. Vulkan specification defines this code as available since -// Vulkan 1.0, but doesn't actually define it in Vulkan SDK earlier than 1.2.131. -// See pull request #207. -#define VK_ERROR_UNKNOWN_COPY ((VkResult)-13) - - -#if VMA_STATS_STRING_ENABLED -// Correspond to values of enum VmaSuballocationType. -static const char* VMA_SUBALLOCATION_TYPE_NAMES[] = -{ - "FREE", - "UNKNOWN", - "BUFFER", - "IMAGE_UNKNOWN", - "IMAGE_LINEAR", - "IMAGE_OPTIMAL", -}; -#endif - -static VkAllocationCallbacks VmaEmptyAllocationCallbacks = - { VMA_NULL, VMA_NULL, VMA_NULL, VMA_NULL, VMA_NULL, VMA_NULL }; - - -#ifndef _VMA_ENUM_DECLARATIONS - -enum VmaSuballocationType -{ - VMA_SUBALLOCATION_TYPE_FREE = 0, - VMA_SUBALLOCATION_TYPE_UNKNOWN = 1, - VMA_SUBALLOCATION_TYPE_BUFFER = 2, - VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN = 3, - VMA_SUBALLOCATION_TYPE_IMAGE_LINEAR = 4, - VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL = 5, - VMA_SUBALLOCATION_TYPE_MAX_ENUM = 0x7FFFFFFF -}; - -enum VMA_CACHE_OPERATION -{ - VMA_CACHE_FLUSH, - VMA_CACHE_INVALIDATE -}; - -enum class VmaAllocationRequestType -{ - Normal, - TLSF, - // Used by "Linear" algorithm. - UpperAddress, - EndOf1st, - EndOf2nd, -}; - -#endif // _VMA_ENUM_DECLARATIONS - -#ifndef _VMA_FORWARD_DECLARATIONS -// Opaque handle used by allocation algorithms to identify single allocation in any conforming way. -VK_DEFINE_NON_DISPATCHABLE_HANDLE(VmaAllocHandle) - -struct VmaMutexLock; -struct VmaMutexLockRead; -struct VmaMutexLockWrite; - -template -struct AtomicTransactionalIncrement; - -template -struct VmaStlAllocator; - -template -class VmaVector; - -template -class VmaSmallVector; - -template -class VmaPoolAllocator; - -template -struct VmaListItem; - -template -class VmaRawList; - -template -class VmaList; - -template -class VmaIntrusiveLinkedList; - -// Unused in this version -#if 0 -template -struct VmaPair; -template -struct VmaPairFirstLess; - -template -class VmaMap; -#endif - -#if VMA_STATS_STRING_ENABLED -class VmaStringBuilder; -class VmaJsonWriter; -#endif - -class VmaDeviceMemoryBlock; - -struct VmaDedicatedAllocationListItemTraits; -class VmaDedicatedAllocationList; - -struct VmaSuballocation; -struct VmaSuballocationOffsetLess; -struct VmaSuballocationOffsetGreater; -struct VmaSuballocationItemSizeLess; - -typedef VmaList> VmaSuballocationList; - -struct VmaAllocationRequest; - -class VmaBlockMetadata; -class VmaBlockMetadata_Linear; -class VmaBlockMetadata_TLSF; - -class VmaBlockVector; - -struct VmaPoolListItemTraits; - -struct VmaCurrentBudgetData; - -class VmaAllocationObjectAllocator; - -#endif // _VMA_FORWARD_DECLARATIONS - - -#ifndef _VMA_FUNCTIONS - -/* -Returns number of bits set to 1 in (v). - -On specific platforms and compilers you can use instrinsics like: - -Visual Studio: - return __popcnt(v); -GCC, Clang: - return static_cast(__builtin_popcount(v)); - -Define macro VMA_COUNT_BITS_SET to provide your optimized implementation. -But you need to check in runtime whether user's CPU supports these, as some old processors don't. -*/ -static inline uint32_t VmaCountBitsSet(uint32_t v) -{ -#if __cplusplus >= 202002L || _MSVC_LANG >= 202002L // C++20 - return std::popcount(v); -#else - uint32_t c = v - ((v >> 1) & 0x55555555); - c = ((c >> 2) & 0x33333333) + (c & 0x33333333); - c = ((c >> 4) + c) & 0x0F0F0F0F; - c = ((c >> 8) + c) & 0x00FF00FF; - c = ((c >> 16) + c) & 0x0000FFFF; - return c; -#endif -} - -static inline uint8_t VmaBitScanLSB(uint64_t mask) -{ -#if defined(_MSC_VER) && defined(_WIN64) - unsigned long pos; - if (_BitScanForward64(&pos, mask)) - return static_cast(pos); - return UINT8_MAX; -#elif defined __GNUC__ || defined __clang__ - return static_cast(__builtin_ffsll(mask)) - 1U; -#else - uint8_t pos = 0; - uint64_t bit = 1; - do - { - if (mask & bit) - return pos; - bit <<= 1; - } while (pos++ < 63); - return UINT8_MAX; -#endif -} - -static inline uint8_t VmaBitScanLSB(uint32_t mask) -{ -#ifdef _MSC_VER - unsigned long pos; - if (_BitScanForward(&pos, mask)) - return static_cast(pos); - return UINT8_MAX; -#elif defined __GNUC__ || defined __clang__ - return static_cast(__builtin_ffs(mask)) - 1U; -#else - uint8_t pos = 0; - uint32_t bit = 1; - do - { - if (mask & bit) - return pos; - bit <<= 1; - } while (pos++ < 31); - return UINT8_MAX; -#endif -} - -static inline uint8_t VmaBitScanMSB(uint64_t mask) -{ -#if defined(_MSC_VER) && defined(_WIN64) - unsigned long pos; - if (_BitScanReverse64(&pos, mask)) - return static_cast(pos); -#elif defined __GNUC__ || defined __clang__ - if (mask) - return 63 - static_cast(__builtin_clzll(mask)); -#else - uint8_t pos = 63; - uint64_t bit = 1ULL << 63; - do - { - if (mask & bit) - return pos; - bit >>= 1; - } while (pos-- > 0); -#endif - return UINT8_MAX; -} - -static inline uint8_t VmaBitScanMSB(uint32_t mask) -{ -#ifdef _MSC_VER - unsigned long pos; - if (_BitScanReverse(&pos, mask)) - return static_cast(pos); -#elif defined __GNUC__ || defined __clang__ - if (mask) - return 31 - static_cast(__builtin_clz(mask)); -#else - uint8_t pos = 31; - uint32_t bit = 1UL << 31; - do - { - if (mask & bit) - return pos; - bit >>= 1; - } while (pos-- > 0); -#endif - return UINT8_MAX; -} - -/* -Returns true if given number is a power of two. -T must be unsigned integer number or signed integer but always nonnegative. -For 0 returns true. -*/ -template -inline bool VmaIsPow2(T x) -{ - return (x & (x - 1)) == 0; -} - -// Aligns given value up to nearest multiply of align value. For example: VmaAlignUp(11, 8) = 16. -// Use types like uint32_t, uint64_t as T. -template -static inline T VmaAlignUp(T val, T alignment) -{ - VMA_HEAVY_ASSERT(VmaIsPow2(alignment)); - return (val + alignment - 1) & ~(alignment - 1); -} - -// Aligns given value down to nearest multiply of align value. For example: VmaAlignDown(11, 8) = 8. -// Use types like uint32_t, uint64_t as T. -template -static inline T VmaAlignDown(T val, T alignment) -{ - VMA_HEAVY_ASSERT(VmaIsPow2(alignment)); - return val & ~(alignment - 1); -} - -// Division with mathematical rounding to nearest number. -template -static inline T VmaRoundDiv(T x, T y) -{ - return (x + (y / (T)2)) / y; -} - -// Divide by 'y' and round up to nearest integer. -template -static inline T VmaDivideRoundingUp(T x, T y) -{ - return (x + y - (T)1) / y; -} - -// Returns smallest power of 2 greater or equal to v. -static inline uint32_t VmaNextPow2(uint32_t v) -{ - v--; - v |= v >> 1; - v |= v >> 2; - v |= v >> 4; - v |= v >> 8; - v |= v >> 16; - v++; - return v; -} - -static inline uint64_t VmaNextPow2(uint64_t v) -{ - v--; - v |= v >> 1; - v |= v >> 2; - v |= v >> 4; - v |= v >> 8; - v |= v >> 16; - v |= v >> 32; - v++; - return v; -} - -// Returns largest power of 2 less or equal to v. -static inline uint32_t VmaPrevPow2(uint32_t v) -{ - v |= v >> 1; - v |= v >> 2; - v |= v >> 4; - v |= v >> 8; - v |= v >> 16; - v = v ^ (v >> 1); - return v; -} - -static inline uint64_t VmaPrevPow2(uint64_t v) -{ - v |= v >> 1; - v |= v >> 2; - v |= v >> 4; - v |= v >> 8; - v |= v >> 16; - v |= v >> 32; - v = v ^ (v >> 1); - return v; -} - -static inline bool VmaStrIsEmpty(const char* pStr) -{ - return pStr == VMA_NULL || *pStr == '\0'; -} - -/* -Returns true if two memory blocks occupy overlapping pages. -ResourceA must be in less memory offset than ResourceB. - -Algorithm is based on "Vulkan 1.0.39 - A Specification (with all registered Vulkan extensions)" -chapter 11.6 "Resource Memory Association", paragraph "Buffer-Image Granularity". -*/ -static inline bool VmaBlocksOnSamePage( - VkDeviceSize resourceAOffset, - VkDeviceSize resourceASize, - VkDeviceSize resourceBOffset, - VkDeviceSize pageSize) -{ - VMA_ASSERT(resourceAOffset + resourceASize <= resourceBOffset && resourceASize > 0 && pageSize > 0); - VkDeviceSize resourceAEnd = resourceAOffset + resourceASize - 1; - VkDeviceSize resourceAEndPage = resourceAEnd & ~(pageSize - 1); - VkDeviceSize resourceBStart = resourceBOffset; - VkDeviceSize resourceBStartPage = resourceBStart & ~(pageSize - 1); - return resourceAEndPage == resourceBStartPage; -} - -/* -Returns true if given suballocation types could conflict and must respect -VkPhysicalDeviceLimits::bufferImageGranularity. They conflict if one is buffer -or linear image and another one is optimal image. If type is unknown, behave -conservatively. -*/ -static inline bool VmaIsBufferImageGranularityConflict( - VmaSuballocationType suballocType1, - VmaSuballocationType suballocType2) -{ - if (suballocType1 > suballocType2) - { - VMA_SWAP(suballocType1, suballocType2); - } - - switch (suballocType1) - { - case VMA_SUBALLOCATION_TYPE_FREE: - return false; - case VMA_SUBALLOCATION_TYPE_UNKNOWN: - return true; - case VMA_SUBALLOCATION_TYPE_BUFFER: - return - suballocType2 == VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN || - suballocType2 == VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL; - case VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN: - return - suballocType2 == VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN || - suballocType2 == VMA_SUBALLOCATION_TYPE_IMAGE_LINEAR || - suballocType2 == VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL; - case VMA_SUBALLOCATION_TYPE_IMAGE_LINEAR: - return - suballocType2 == VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL; - case VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL: - return false; - default: - VMA_ASSERT(0); - return true; - } -} - -static void VmaWriteMagicValue(void* pData, VkDeviceSize offset) -{ -#if VMA_DEBUG_MARGIN > 0 && VMA_DEBUG_DETECT_CORRUPTION - uint32_t* pDst = (uint32_t*)((char*)pData + offset); - const size_t numberCount = VMA_DEBUG_MARGIN / sizeof(uint32_t); - for (size_t i = 0; i < numberCount; ++i, ++pDst) - { - *pDst = VMA_CORRUPTION_DETECTION_MAGIC_VALUE; - } -#else - // no-op -#endif -} - -static bool VmaValidateMagicValue(const void* pData, VkDeviceSize offset) -{ -#if VMA_DEBUG_MARGIN > 0 && VMA_DEBUG_DETECT_CORRUPTION - const uint32_t* pSrc = (const uint32_t*)((const char*)pData + offset); - const size_t numberCount = VMA_DEBUG_MARGIN / sizeof(uint32_t); - for (size_t i = 0; i < numberCount; ++i, ++pSrc) - { - if (*pSrc != VMA_CORRUPTION_DETECTION_MAGIC_VALUE) - { - return false; - } - } -#endif - return true; -} - -/* -Fills structure with parameters of an example buffer to be used for transfers -during GPU memory defragmentation. -*/ -static void VmaFillGpuDefragmentationBufferCreateInfo(VkBufferCreateInfo& outBufCreateInfo) -{ - memset(&outBufCreateInfo, 0, sizeof(outBufCreateInfo)); - outBufCreateInfo.sType = VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO; - outBufCreateInfo.usage = VK_BUFFER_USAGE_TRANSFER_SRC_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; - outBufCreateInfo.size = (VkDeviceSize)VMA_DEFAULT_LARGE_HEAP_BLOCK_SIZE; // Example size. -} - - -/* -Performs binary search and returns iterator to first element that is greater or -equal to (key), according to comparison (cmp). - -Cmp should return true if first argument is less than second argument. - -Returned value is the found element, if present in the collection or place where -new element with value (key) should be inserted. -*/ -template -static IterT VmaBinaryFindFirstNotLess(IterT beg, IterT end, const KeyT& key, const CmpLess& cmp) -{ - size_t down = 0, up = size_t(end - beg); - while (down < up) - { - const size_t mid = down + (up - down) / 2; // Overflow-safe midpoint calculation - if (cmp(*(beg + mid), key)) - { - down = mid + 1; - } - else - { - up = mid; - } - } - return beg + down; -} - -template -IterT VmaBinaryFindSorted(const IterT& beg, const IterT& end, const KeyT& value, const CmpLess& cmp) -{ - IterT it = VmaBinaryFindFirstNotLess( - beg, end, value, cmp); - if (it == end || - (!cmp(*it, value) && !cmp(value, *it))) - { - return it; - } - return end; -} - -/* -Returns true if all pointers in the array are not-null and unique. -Warning! O(n^2) complexity. Use only inside VMA_HEAVY_ASSERT. -T must be pointer type, e.g. VmaAllocation, VmaPool. -*/ -template -static bool VmaValidatePointerArray(uint32_t count, const T* arr) -{ - for (uint32_t i = 0; i < count; ++i) - { - const T iPtr = arr[i]; - if (iPtr == VMA_NULL) - { - return false; - } - for (uint32_t j = i + 1; j < count; ++j) - { - if (iPtr == arr[j]) - { - return false; - } - } - } - return true; -} - -template -static inline void VmaPnextChainPushFront(MainT* mainStruct, NewT* newStruct) -{ - newStruct->pNext = mainStruct->pNext; - mainStruct->pNext = newStruct; -} - -// This is the main algorithm that guides the selection of a memory type best for an allocation - -// converts usage to required/preferred/not preferred flags. -static bool FindMemoryPreferences( - bool isIntegratedGPU, - const VmaAllocationCreateInfo& allocCreateInfo, - VkFlags bufImgUsage, // VkBufferCreateInfo::usage or VkImageCreateInfo::usage. UINT32_MAX if unknown. - VkMemoryPropertyFlags& outRequiredFlags, - VkMemoryPropertyFlags& outPreferredFlags, - VkMemoryPropertyFlags& outNotPreferredFlags) -{ - outRequiredFlags = allocCreateInfo.requiredFlags; - outPreferredFlags = allocCreateInfo.preferredFlags; - outNotPreferredFlags = 0; - - switch(allocCreateInfo.usage) - { - case VMA_MEMORY_USAGE_UNKNOWN: - break; - case VMA_MEMORY_USAGE_GPU_ONLY: - if(!isIntegratedGPU || (outPreferredFlags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) == 0) - { - outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; - } - break; - case VMA_MEMORY_USAGE_CPU_ONLY: - outRequiredFlags |= VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT | VK_MEMORY_PROPERTY_HOST_COHERENT_BIT; - break; - case VMA_MEMORY_USAGE_CPU_TO_GPU: - outRequiredFlags |= VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT; - if(!isIntegratedGPU || (outPreferredFlags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) == 0) - { - outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; - } - break; - case VMA_MEMORY_USAGE_GPU_TO_CPU: - outRequiredFlags |= VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT; - outPreferredFlags |= VK_MEMORY_PROPERTY_HOST_CACHED_BIT; - break; - case VMA_MEMORY_USAGE_CPU_COPY: - outNotPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; - break; - case VMA_MEMORY_USAGE_GPU_LAZILY_ALLOCATED: - outRequiredFlags |= VK_MEMORY_PROPERTY_LAZILY_ALLOCATED_BIT; - break; - case VMA_MEMORY_USAGE_AUTO: - case VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE: - case VMA_MEMORY_USAGE_AUTO_PREFER_HOST: - { - if(bufImgUsage == UINT32_MAX) - { - VMA_ASSERT(0 && "VMA_MEMORY_USAGE_AUTO* values can only be used with functions like vmaCreateBuffer, vmaCreateImage so that the details of the created resource are known."); - return false; - } - // This relies on values of VK_IMAGE_USAGE_TRANSFER* being the same VK_BUFFER_IMAGE_TRANSFER*. - const bool deviceAccess = (bufImgUsage & ~(VK_BUFFER_USAGE_TRANSFER_DST_BIT | VK_BUFFER_USAGE_TRANSFER_SRC_BIT)) != 0; - const bool hostAccessSequentialWrite = (allocCreateInfo.flags & VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT) != 0; - const bool hostAccessRandom = (allocCreateInfo.flags & VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT) != 0; - const bool hostAccessAllowTransferInstead = (allocCreateInfo.flags & VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT) != 0; - const bool preferDevice = allocCreateInfo.usage == VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE; - const bool preferHost = allocCreateInfo.usage == VMA_MEMORY_USAGE_AUTO_PREFER_HOST; - - // CPU random access - e.g. a buffer written to or transferred from GPU to read back on CPU. - if(hostAccessRandom) - { - if(!isIntegratedGPU && deviceAccess && hostAccessAllowTransferInstead && !preferHost) - { - // Nice if it will end up in HOST_VISIBLE, but more importantly prefer DEVICE_LOCAL. - // Omitting HOST_VISIBLE here is intentional. - // In case there is DEVICE_LOCAL | HOST_VISIBLE | HOST_CACHED, it will pick that one. - // Otherwise, this will give same weight to DEVICE_LOCAL as HOST_VISIBLE | HOST_CACHED and select the former if occurs first on the list. - outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT | VK_MEMORY_PROPERTY_HOST_CACHED_BIT; - } - else - { - // Always CPU memory, cached. - outRequiredFlags |= VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT | VK_MEMORY_PROPERTY_HOST_CACHED_BIT; - } - } - // CPU sequential write - may be CPU or host-visible GPU memory, uncached and write-combined. - else if(hostAccessSequentialWrite) - { - // Want uncached and write-combined. - outNotPreferredFlags |= VK_MEMORY_PROPERTY_HOST_CACHED_BIT; - - if(!isIntegratedGPU && deviceAccess && hostAccessAllowTransferInstead && !preferHost) - { - outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT | VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT; - } - else - { - outRequiredFlags |= VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT; - // Direct GPU access, CPU sequential write (e.g. a dynamic uniform buffer updated every frame) - if(deviceAccess) - { - // Could go to CPU memory or GPU BAR/unified. Up to the user to decide. If no preference, choose GPU memory. - if(preferHost) - outNotPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; - else - outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; - } - // GPU no direct access, CPU sequential write (e.g. an upload buffer to be transferred to the GPU) - else - { - // Could go to CPU memory or GPU BAR/unified. Up to the user to decide. If no preference, choose CPU memory. - if(preferDevice) - outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; - else - outNotPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; - } - } - } - // No CPU access - else - { - // GPU access, no CPU access (e.g. a color attachment image) - prefer GPU memory - if(deviceAccess) - { - // ...unless there is a clear preference from the user not to do so. - if(preferHost) - outNotPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; - else - outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; - } - // No direct GPU access, no CPU access, just transfers. - // It may be staging copy intended for e.g. preserving image for next frame (then better GPU memory) or - // a "swap file" copy to free some GPU memory (then better CPU memory). - // Up to the user to decide. If no preferece, assume the former and choose GPU memory. - if(preferHost) - outNotPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; - else - outPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; - } - break; - } - default: - VMA_ASSERT(0); - } - - // Avoid DEVICE_COHERENT unless explicitly requested. - if(((allocCreateInfo.requiredFlags | allocCreateInfo.preferredFlags) & - (VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD_COPY | VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD_COPY)) == 0) - { - outNotPreferredFlags |= VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD_COPY; - } - - return true; -} - -//////////////////////////////////////////////////////////////////////////////// -// Memory allocation - -static void* VmaMalloc(const VkAllocationCallbacks* pAllocationCallbacks, size_t size, size_t alignment) -{ - void* result = VMA_NULL; - if ((pAllocationCallbacks != VMA_NULL) && - (pAllocationCallbacks->pfnAllocation != VMA_NULL)) - { - result = (*pAllocationCallbacks->pfnAllocation)( - pAllocationCallbacks->pUserData, - size, - alignment, - VK_SYSTEM_ALLOCATION_SCOPE_OBJECT); - } - else - { - result = VMA_SYSTEM_ALIGNED_MALLOC(size, alignment); - } - VMA_ASSERT(result != VMA_NULL && "CPU memory allocation failed."); - return result; -} - -static void VmaFree(const VkAllocationCallbacks* pAllocationCallbacks, void* ptr) -{ - if ((pAllocationCallbacks != VMA_NULL) && - (pAllocationCallbacks->pfnFree != VMA_NULL)) - { - (*pAllocationCallbacks->pfnFree)(pAllocationCallbacks->pUserData, ptr); - } - else - { - VMA_SYSTEM_ALIGNED_FREE(ptr); - } -} - -template -static T* VmaAllocate(const VkAllocationCallbacks* pAllocationCallbacks) -{ - return (T*)VmaMalloc(pAllocationCallbacks, sizeof(T), VMA_ALIGN_OF(T)); -} - -template -static T* VmaAllocateArray(const VkAllocationCallbacks* pAllocationCallbacks, size_t count) -{ - return (T*)VmaMalloc(pAllocationCallbacks, sizeof(T) * count, VMA_ALIGN_OF(T)); -} - -#define vma_new(allocator, type) new(VmaAllocate(allocator))(type) - -#define vma_new_array(allocator, type, count) new(VmaAllocateArray((allocator), (count)))(type) - -template -static void vma_delete(const VkAllocationCallbacks* pAllocationCallbacks, T* ptr) -{ - ptr->~T(); - VmaFree(pAllocationCallbacks, ptr); -} - -template -static void vma_delete_array(const VkAllocationCallbacks* pAllocationCallbacks, T* ptr, size_t count) -{ - if (ptr != VMA_NULL) - { - for (size_t i = count; i--; ) - { - ptr[i].~T(); - } - VmaFree(pAllocationCallbacks, ptr); - } -} - -static char* VmaCreateStringCopy(const VkAllocationCallbacks* allocs, const char* srcStr) -{ - if (srcStr != VMA_NULL) - { - const size_t len = strlen(srcStr); - char* const result = vma_new_array(allocs, char, len + 1); - memcpy(result, srcStr, len + 1); - return result; - } - return VMA_NULL; -} - -#if VMA_STATS_STRING_ENABLED -static char* VmaCreateStringCopy(const VkAllocationCallbacks* allocs, const char* srcStr, size_t strLen) -{ - if (srcStr != VMA_NULL) - { - char* const result = vma_new_array(allocs, char, strLen + 1); - memcpy(result, srcStr, strLen); - result[strLen] = '\0'; - return result; - } - return VMA_NULL; -} -#endif // VMA_STATS_STRING_ENABLED - -static void VmaFreeString(const VkAllocationCallbacks* allocs, char* str) -{ - if (str != VMA_NULL) - { - const size_t len = strlen(str); - vma_delete_array(allocs, str, len + 1); - } -} - -template -size_t VmaVectorInsertSorted(VectorT& vector, const typename VectorT::value_type& value) -{ - const size_t indexToInsert = VmaBinaryFindFirstNotLess( - vector.data(), - vector.data() + vector.size(), - value, - CmpLess()) - vector.data(); - VmaVectorInsert(vector, indexToInsert, value); - return indexToInsert; -} - -template -bool VmaVectorRemoveSorted(VectorT& vector, const typename VectorT::value_type& value) -{ - CmpLess comparator; - typename VectorT::iterator it = VmaBinaryFindFirstNotLess( - vector.begin(), - vector.end(), - value, - comparator); - if ((it != vector.end()) && !comparator(*it, value) && !comparator(value, *it)) - { - size_t indexToRemove = it - vector.begin(); - VmaVectorRemove(vector, indexToRemove); - return true; - } - return false; -} -#endif // _VMA_FUNCTIONS - -#ifndef _VMA_STATISTICS_FUNCTIONS - -static void VmaClearStatistics(VmaStatistics& outStats) -{ - outStats.blockCount = 0; - outStats.allocationCount = 0; - outStats.blockBytes = 0; - outStats.allocationBytes = 0; -} - -static void VmaAddStatistics(VmaStatistics& inoutStats, const VmaStatistics& src) -{ - inoutStats.blockCount += src.blockCount; - inoutStats.allocationCount += src.allocationCount; - inoutStats.blockBytes += src.blockBytes; - inoutStats.allocationBytes += src.allocationBytes; -} - -static void VmaClearDetailedStatistics(VmaDetailedStatistics& outStats) -{ - VmaClearStatistics(outStats.statistics); - outStats.unusedRangeCount = 0; - outStats.allocationSizeMin = VK_WHOLE_SIZE; - outStats.allocationSizeMax = 0; - outStats.unusedRangeSizeMin = VK_WHOLE_SIZE; - outStats.unusedRangeSizeMax = 0; -} - -static void VmaAddDetailedStatisticsAllocation(VmaDetailedStatistics& inoutStats, VkDeviceSize size) -{ - inoutStats.statistics.allocationCount++; - inoutStats.statistics.allocationBytes += size; - inoutStats.allocationSizeMin = VMA_MIN(inoutStats.allocationSizeMin, size); - inoutStats.allocationSizeMax = VMA_MAX(inoutStats.allocationSizeMax, size); -} - -static void VmaAddDetailedStatisticsUnusedRange(VmaDetailedStatistics& inoutStats, VkDeviceSize size) -{ - inoutStats.unusedRangeCount++; - inoutStats.unusedRangeSizeMin = VMA_MIN(inoutStats.unusedRangeSizeMin, size); - inoutStats.unusedRangeSizeMax = VMA_MAX(inoutStats.unusedRangeSizeMax, size); -} - -static void VmaAddDetailedStatistics(VmaDetailedStatistics& inoutStats, const VmaDetailedStatistics& src) -{ - VmaAddStatistics(inoutStats.statistics, src.statistics); - inoutStats.unusedRangeCount += src.unusedRangeCount; - inoutStats.allocationSizeMin = VMA_MIN(inoutStats.allocationSizeMin, src.allocationSizeMin); - inoutStats.allocationSizeMax = VMA_MAX(inoutStats.allocationSizeMax, src.allocationSizeMax); - inoutStats.unusedRangeSizeMin = VMA_MIN(inoutStats.unusedRangeSizeMin, src.unusedRangeSizeMin); - inoutStats.unusedRangeSizeMax = VMA_MAX(inoutStats.unusedRangeSizeMax, src.unusedRangeSizeMax); -} - -#endif // _VMA_STATISTICS_FUNCTIONS - -#ifndef _VMA_MUTEX_LOCK -// Helper RAII class to lock a mutex in constructor and unlock it in destructor (at the end of scope). -struct VmaMutexLock -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaMutexLock) -public: - VmaMutexLock(VMA_MUTEX& mutex, bool useMutex = true) : - m_pMutex(useMutex ? &mutex : VMA_NULL) - { - if (m_pMutex) { m_pMutex->Lock(); } - } - ~VmaMutexLock() { if (m_pMutex) { m_pMutex->Unlock(); } } - -private: - VMA_MUTEX* m_pMutex; -}; - -// Helper RAII class to lock a RW mutex in constructor and unlock it in destructor (at the end of scope), for reading. -struct VmaMutexLockRead -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaMutexLockRead) -public: - VmaMutexLockRead(VMA_RW_MUTEX& mutex, bool useMutex) : - m_pMutex(useMutex ? &mutex : VMA_NULL) - { - if (m_pMutex) { m_pMutex->LockRead(); } - } - ~VmaMutexLockRead() { if (m_pMutex) { m_pMutex->UnlockRead(); } } - -private: - VMA_RW_MUTEX* m_pMutex; -}; - -// Helper RAII class to lock a RW mutex in constructor and unlock it in destructor (at the end of scope), for writing. -struct VmaMutexLockWrite -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaMutexLockWrite) -public: - VmaMutexLockWrite(VMA_RW_MUTEX& mutex, bool useMutex) - : m_pMutex(useMutex ? &mutex : VMA_NULL) - { - if (m_pMutex) { m_pMutex->LockWrite(); } - } - ~VmaMutexLockWrite() { if (m_pMutex) { m_pMutex->UnlockWrite(); } } - -private: - VMA_RW_MUTEX* m_pMutex; -}; - -#if VMA_DEBUG_GLOBAL_MUTEX - static VMA_MUTEX gDebugGlobalMutex; - #define VMA_DEBUG_GLOBAL_MUTEX_LOCK VmaMutexLock debugGlobalMutexLock(gDebugGlobalMutex, true); -#else - #define VMA_DEBUG_GLOBAL_MUTEX_LOCK -#endif -#endif // _VMA_MUTEX_LOCK - -#ifndef _VMA_ATOMIC_TRANSACTIONAL_INCREMENT -// An object that increments given atomic but decrements it back in the destructor unless Commit() is called. -template -struct AtomicTransactionalIncrement -{ -public: - using T = decltype(AtomicT().load()); - - ~AtomicTransactionalIncrement() - { - if(m_Atomic) - --(*m_Atomic); - } - - void Commit() { m_Atomic = nullptr; } - T Increment(AtomicT* atomic) - { - m_Atomic = atomic; - return m_Atomic->fetch_add(1); - } - -private: - AtomicT* m_Atomic = nullptr; -}; -#endif // _VMA_ATOMIC_TRANSACTIONAL_INCREMENT - -#ifndef _VMA_STL_ALLOCATOR -// STL-compatible allocator. -template -struct VmaStlAllocator -{ - const VkAllocationCallbacks* const m_pCallbacks; - typedef T value_type; - - VmaStlAllocator(const VkAllocationCallbacks* pCallbacks) : m_pCallbacks(pCallbacks) {} - template - VmaStlAllocator(const VmaStlAllocator& src) : m_pCallbacks(src.m_pCallbacks) {} - VmaStlAllocator(const VmaStlAllocator&) = default; - VmaStlAllocator& operator=(const VmaStlAllocator&) = delete; - - T* allocate(size_t n) { return VmaAllocateArray(m_pCallbacks, n); } - void deallocate(T* p, size_t n) { VmaFree(m_pCallbacks, p); } - - template - bool operator==(const VmaStlAllocator& rhs) const - { - return m_pCallbacks == rhs.m_pCallbacks; - } - template - bool operator!=(const VmaStlAllocator& rhs) const - { - return m_pCallbacks != rhs.m_pCallbacks; - } -}; -#endif // _VMA_STL_ALLOCATOR - -#ifndef _VMA_VECTOR -/* Class with interface compatible with subset of std::vector. -T must be POD because constructors and destructors are not called and memcpy is -used for these objects. */ -template -class VmaVector -{ -public: - typedef T value_type; - typedef T* iterator; - typedef const T* const_iterator; - - VmaVector(const AllocatorT& allocator); - VmaVector(size_t count, const AllocatorT& allocator); - // This version of the constructor is here for compatibility with pre-C++14 std::vector. - // value is unused. - VmaVector(size_t count, const T& value, const AllocatorT& allocator) : VmaVector(count, allocator) {} - VmaVector(const VmaVector& src); - VmaVector& operator=(const VmaVector& rhs); - ~VmaVector() { VmaFree(m_Allocator.m_pCallbacks, m_pArray); } - - bool empty() const { return m_Count == 0; } - size_t size() const { return m_Count; } - T* data() { return m_pArray; } - T& front() { VMA_HEAVY_ASSERT(m_Count > 0); return m_pArray[0]; } - T& back() { VMA_HEAVY_ASSERT(m_Count > 0); return m_pArray[m_Count - 1]; } - const T* data() const { return m_pArray; } - const T& front() const { VMA_HEAVY_ASSERT(m_Count > 0); return m_pArray[0]; } - const T& back() const { VMA_HEAVY_ASSERT(m_Count > 0); return m_pArray[m_Count - 1]; } - - iterator begin() { return m_pArray; } - iterator end() { return m_pArray + m_Count; } - const_iterator cbegin() const { return m_pArray; } - const_iterator cend() const { return m_pArray + m_Count; } - const_iterator begin() const { return cbegin(); } - const_iterator end() const { return cend(); } - - void pop_front() { VMA_HEAVY_ASSERT(m_Count > 0); remove(0); } - void pop_back() { VMA_HEAVY_ASSERT(m_Count > 0); resize(size() - 1); } - void push_front(const T& src) { insert(0, src); } - - void push_back(const T& src); - void reserve(size_t newCapacity, bool freeMemory = false); - void resize(size_t newCount); - void clear() { resize(0); } - void shrink_to_fit(); - void insert(size_t index, const T& src); - void remove(size_t index); - - T& operator[](size_t index) { VMA_HEAVY_ASSERT(index < m_Count); return m_pArray[index]; } - const T& operator[](size_t index) const { VMA_HEAVY_ASSERT(index < m_Count); return m_pArray[index]; } - -private: - AllocatorT m_Allocator; - T* m_pArray; - size_t m_Count; - size_t m_Capacity; -}; - -#ifndef _VMA_VECTOR_FUNCTIONS -template -VmaVector::VmaVector(const AllocatorT& allocator) - : m_Allocator(allocator), - m_pArray(VMA_NULL), - m_Count(0), - m_Capacity(0) {} - -template -VmaVector::VmaVector(size_t count, const AllocatorT& allocator) - : m_Allocator(allocator), - m_pArray(count ? (T*)VmaAllocateArray(allocator.m_pCallbacks, count) : VMA_NULL), - m_Count(count), - m_Capacity(count) {} - -template -VmaVector::VmaVector(const VmaVector& src) - : m_Allocator(src.m_Allocator), - m_pArray(src.m_Count ? (T*)VmaAllocateArray(src.m_Allocator.m_pCallbacks, src.m_Count) : VMA_NULL), - m_Count(src.m_Count), - m_Capacity(src.m_Count) -{ - if (m_Count != 0) - { - memcpy(m_pArray, src.m_pArray, m_Count * sizeof(T)); - } -} - -template -VmaVector& VmaVector::operator=(const VmaVector& rhs) -{ - if (&rhs != this) - { - resize(rhs.m_Count); - if (m_Count != 0) - { - memcpy(m_pArray, rhs.m_pArray, m_Count * sizeof(T)); - } - } - return *this; -} - -template -void VmaVector::push_back(const T& src) -{ - const size_t newIndex = size(); - resize(newIndex + 1); - m_pArray[newIndex] = src; -} - -template -void VmaVector::reserve(size_t newCapacity, bool freeMemory) -{ - newCapacity = VMA_MAX(newCapacity, m_Count); - - if ((newCapacity < m_Capacity) && !freeMemory) - { - newCapacity = m_Capacity; - } - - if (newCapacity != m_Capacity) - { - T* const newArray = newCapacity ? VmaAllocateArray(m_Allocator, newCapacity) : VMA_NULL; - if (m_Count != 0) - { - memcpy(newArray, m_pArray, m_Count * sizeof(T)); - } - VmaFree(m_Allocator.m_pCallbacks, m_pArray); - m_Capacity = newCapacity; - m_pArray = newArray; - } -} - -template -void VmaVector::resize(size_t newCount) -{ - size_t newCapacity = m_Capacity; - if (newCount > m_Capacity) - { - newCapacity = VMA_MAX(newCount, VMA_MAX(m_Capacity * 3 / 2, (size_t)8)); - } - - if (newCapacity != m_Capacity) - { - T* const newArray = newCapacity ? VmaAllocateArray(m_Allocator.m_pCallbacks, newCapacity) : VMA_NULL; - const size_t elementsToCopy = VMA_MIN(m_Count, newCount); - if (elementsToCopy != 0) - { - memcpy(newArray, m_pArray, elementsToCopy * sizeof(T)); - } - VmaFree(m_Allocator.m_pCallbacks, m_pArray); - m_Capacity = newCapacity; - m_pArray = newArray; - } - - m_Count = newCount; -} - -template -void VmaVector::shrink_to_fit() -{ - if (m_Capacity > m_Count) - { - T* newArray = VMA_NULL; - if (m_Count > 0) - { - newArray = VmaAllocateArray(m_Allocator.m_pCallbacks, m_Count); - memcpy(newArray, m_pArray, m_Count * sizeof(T)); - } - VmaFree(m_Allocator.m_pCallbacks, m_pArray); - m_Capacity = m_Count; - m_pArray = newArray; - } -} - -template -void VmaVector::insert(size_t index, const T& src) -{ - VMA_HEAVY_ASSERT(index <= m_Count); - const size_t oldCount = size(); - resize(oldCount + 1); - if (index < oldCount) - { - memmove(m_pArray + (index + 1), m_pArray + index, (oldCount - index) * sizeof(T)); - } - m_pArray[index] = src; -} - -template -void VmaVector::remove(size_t index) -{ - VMA_HEAVY_ASSERT(index < m_Count); - const size_t oldCount = size(); - if (index < oldCount - 1) - { - memmove(m_pArray + index, m_pArray + (index + 1), (oldCount - index - 1) * sizeof(T)); - } - resize(oldCount - 1); -} -#endif // _VMA_VECTOR_FUNCTIONS - -template -static void VmaVectorInsert(VmaVector& vec, size_t index, const T& item) -{ - vec.insert(index, item); -} - -template -static void VmaVectorRemove(VmaVector& vec, size_t index) -{ - vec.remove(index); -} -#endif // _VMA_VECTOR - -#ifndef _VMA_SMALL_VECTOR -/* -This is a vector (a variable-sized array), optimized for the case when the array is small. - -It contains some number of elements in-place, which allows it to avoid heap allocation -when the actual number of elements is below that threshold. This allows normal "small" -cases to be fast without losing generality for large inputs. -*/ -template -class VmaSmallVector -{ -public: - typedef T value_type; - typedef T* iterator; - - VmaSmallVector(const AllocatorT& allocator); - VmaSmallVector(size_t count, const AllocatorT& allocator); - template - VmaSmallVector(const VmaSmallVector&) = delete; - template - VmaSmallVector& operator=(const VmaSmallVector&) = delete; - ~VmaSmallVector() = default; - - bool empty() const { return m_Count == 0; } - size_t size() const { return m_Count; } - T* data() { return m_Count > N ? m_DynamicArray.data() : m_StaticArray; } - T& front() { VMA_HEAVY_ASSERT(m_Count > 0); return data()[0]; } - T& back() { VMA_HEAVY_ASSERT(m_Count > 0); return data()[m_Count - 1]; } - const T* data() const { return m_Count > N ? m_DynamicArray.data() : m_StaticArray; } - const T& front() const { VMA_HEAVY_ASSERT(m_Count > 0); return data()[0]; } - const T& back() const { VMA_HEAVY_ASSERT(m_Count > 0); return data()[m_Count - 1]; } - - iterator begin() { return data(); } - iterator end() { return data() + m_Count; } - - void pop_front() { VMA_HEAVY_ASSERT(m_Count > 0); remove(0); } - void pop_back() { VMA_HEAVY_ASSERT(m_Count > 0); resize(size() - 1); } - void push_front(const T& src) { insert(0, src); } - - void push_back(const T& src); - void resize(size_t newCount, bool freeMemory = false); - void clear(bool freeMemory = false); - void insert(size_t index, const T& src); - void remove(size_t index); - - T& operator[](size_t index) { VMA_HEAVY_ASSERT(index < m_Count); return data()[index]; } - const T& operator[](size_t index) const { VMA_HEAVY_ASSERT(index < m_Count); return data()[index]; } - -private: - size_t m_Count; - T m_StaticArray[N]; // Used when m_Size <= N - VmaVector m_DynamicArray; // Used when m_Size > N -}; - -#ifndef _VMA_SMALL_VECTOR_FUNCTIONS -template -VmaSmallVector::VmaSmallVector(const AllocatorT& allocator) - : m_Count(0), - m_DynamicArray(allocator) {} - -template -VmaSmallVector::VmaSmallVector(size_t count, const AllocatorT& allocator) - : m_Count(count), - m_DynamicArray(count > N ? count : 0, allocator) {} - -template -void VmaSmallVector::push_back(const T& src) -{ - const size_t newIndex = size(); - resize(newIndex + 1); - data()[newIndex] = src; -} - -template -void VmaSmallVector::resize(size_t newCount, bool freeMemory) -{ - if (newCount > N && m_Count > N) - { - // Any direction, staying in m_DynamicArray - m_DynamicArray.resize(newCount); - if (freeMemory) - { - m_DynamicArray.shrink_to_fit(); - } - } - else if (newCount > N && m_Count <= N) - { - // Growing, moving from m_StaticArray to m_DynamicArray - m_DynamicArray.resize(newCount); - if (m_Count > 0) - { - memcpy(m_DynamicArray.data(), m_StaticArray, m_Count * sizeof(T)); - } - } - else if (newCount <= N && m_Count > N) - { - // Shrinking, moving from m_DynamicArray to m_StaticArray - if (newCount > 0) - { - memcpy(m_StaticArray, m_DynamicArray.data(), newCount * sizeof(T)); - } - m_DynamicArray.resize(0); - if (freeMemory) - { - m_DynamicArray.shrink_to_fit(); - } - } - else - { - // Any direction, staying in m_StaticArray - nothing to do here - } - m_Count = newCount; -} - -template -void VmaSmallVector::clear(bool freeMemory) -{ - m_DynamicArray.clear(); - if (freeMemory) - { - m_DynamicArray.shrink_to_fit(); - } - m_Count = 0; -} - -template -void VmaSmallVector::insert(size_t index, const T& src) -{ - VMA_HEAVY_ASSERT(index <= m_Count); - const size_t oldCount = size(); - resize(oldCount + 1); - T* const dataPtr = data(); - if (index < oldCount) - { - // I know, this could be more optimal for case where memmove can be memcpy directly from m_StaticArray to m_DynamicArray. - memmove(dataPtr + (index + 1), dataPtr + index, (oldCount - index) * sizeof(T)); - } - dataPtr[index] = src; -} - -template -void VmaSmallVector::remove(size_t index) -{ - VMA_HEAVY_ASSERT(index < m_Count); - const size_t oldCount = size(); - if (index < oldCount - 1) - { - // I know, this could be more optimal for case where memmove can be memcpy directly from m_DynamicArray to m_StaticArray. - T* const dataPtr = data(); - memmove(dataPtr + index, dataPtr + (index + 1), (oldCount - index - 1) * sizeof(T)); - } - resize(oldCount - 1); -} -#endif // _VMA_SMALL_VECTOR_FUNCTIONS -#endif // _VMA_SMALL_VECTOR - -#ifndef _VMA_POOL_ALLOCATOR -/* -Allocator for objects of type T using a list of arrays (pools) to speed up -allocation. Number of elements that can be allocated is not bounded because -allocator can create multiple blocks. -*/ -template -class VmaPoolAllocator -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaPoolAllocator) -public: - VmaPoolAllocator(const VkAllocationCallbacks* pAllocationCallbacks, uint32_t firstBlockCapacity); - ~VmaPoolAllocator(); - template T* Alloc(Types&&... args); - void Free(T* ptr); - -private: - union Item - { - uint32_t NextFreeIndex; - alignas(T) char Value[sizeof(T)]; - }; - struct ItemBlock - { - Item* pItems; - uint32_t Capacity; - uint32_t FirstFreeIndex; - }; - - const VkAllocationCallbacks* m_pAllocationCallbacks; - const uint32_t m_FirstBlockCapacity; - VmaVector> m_ItemBlocks; - - ItemBlock& CreateNewBlock(); -}; - -#ifndef _VMA_POOL_ALLOCATOR_FUNCTIONS -template -VmaPoolAllocator::VmaPoolAllocator(const VkAllocationCallbacks* pAllocationCallbacks, uint32_t firstBlockCapacity) - : m_pAllocationCallbacks(pAllocationCallbacks), - m_FirstBlockCapacity(firstBlockCapacity), - m_ItemBlocks(VmaStlAllocator(pAllocationCallbacks)) -{ - VMA_ASSERT(m_FirstBlockCapacity > 1); -} - -template -VmaPoolAllocator::~VmaPoolAllocator() -{ - for (size_t i = m_ItemBlocks.size(); i--;) - vma_delete_array(m_pAllocationCallbacks, m_ItemBlocks[i].pItems, m_ItemBlocks[i].Capacity); - m_ItemBlocks.clear(); -} - -template -template T* VmaPoolAllocator::Alloc(Types&&... args) -{ - for (size_t i = m_ItemBlocks.size(); i--; ) - { - ItemBlock& block = m_ItemBlocks[i]; - // This block has some free items: Use first one. - if (block.FirstFreeIndex != UINT32_MAX) - { - Item* const pItem = &block.pItems[block.FirstFreeIndex]; - block.FirstFreeIndex = pItem->NextFreeIndex; - T* result = (T*)&pItem->Value; - new(result)T(std::forward(args)...); // Explicit constructor call. - return result; - } - } - - // No block has free item: Create new one and use it. - ItemBlock& newBlock = CreateNewBlock(); - Item* const pItem = &newBlock.pItems[0]; - newBlock.FirstFreeIndex = pItem->NextFreeIndex; - T* result = (T*)&pItem->Value; - new(result) T(std::forward(args)...); // Explicit constructor call. - return result; -} - -template -void VmaPoolAllocator::Free(T* ptr) -{ - // Search all memory blocks to find ptr. - for (size_t i = m_ItemBlocks.size(); i--; ) - { - ItemBlock& block = m_ItemBlocks[i]; - - // Casting to union. - Item* pItemPtr; - memcpy(&pItemPtr, &ptr, sizeof(pItemPtr)); - - // Check if pItemPtr is in address range of this block. - if ((pItemPtr >= block.pItems) && (pItemPtr < block.pItems + block.Capacity)) - { - ptr->~T(); // Explicit destructor call. - const uint32_t index = static_cast(pItemPtr - block.pItems); - pItemPtr->NextFreeIndex = block.FirstFreeIndex; - block.FirstFreeIndex = index; - return; - } - } - VMA_ASSERT(0 && "Pointer doesn't belong to this memory pool."); -} - -template -typename VmaPoolAllocator::ItemBlock& VmaPoolAllocator::CreateNewBlock() -{ - const uint32_t newBlockCapacity = m_ItemBlocks.empty() ? - m_FirstBlockCapacity : m_ItemBlocks.back().Capacity * 3 / 2; - - const ItemBlock newBlock = - { - vma_new_array(m_pAllocationCallbacks, Item, newBlockCapacity), - newBlockCapacity, - 0 - }; - - m_ItemBlocks.push_back(newBlock); - - // Setup singly-linked list of all free items in this block. - for (uint32_t i = 0; i < newBlockCapacity - 1; ++i) - newBlock.pItems[i].NextFreeIndex = i + 1; - newBlock.pItems[newBlockCapacity - 1].NextFreeIndex = UINT32_MAX; - return m_ItemBlocks.back(); -} -#endif // _VMA_POOL_ALLOCATOR_FUNCTIONS -#endif // _VMA_POOL_ALLOCATOR - -#ifndef _VMA_RAW_LIST -template -struct VmaListItem -{ - VmaListItem* pPrev; - VmaListItem* pNext; - T Value; -}; - -// Doubly linked list. -template -class VmaRawList -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaRawList) -public: - typedef VmaListItem ItemType; - - VmaRawList(const VkAllocationCallbacks* pAllocationCallbacks); - // Intentionally not calling Clear, because that would be unnecessary - // computations to return all items to m_ItemAllocator as free. - ~VmaRawList() = default; - - size_t GetCount() const { return m_Count; } - bool IsEmpty() const { return m_Count == 0; } - - ItemType* Front() { return m_pFront; } - ItemType* Back() { return m_pBack; } - const ItemType* Front() const { return m_pFront; } - const ItemType* Back() const { return m_pBack; } - - ItemType* PushFront(); - ItemType* PushBack(); - ItemType* PushFront(const T& value); - ItemType* PushBack(const T& value); - void PopFront(); - void PopBack(); - - // Item can be null - it means PushBack. - ItemType* InsertBefore(ItemType* pItem); - // Item can be null - it means PushFront. - ItemType* InsertAfter(ItemType* pItem); - ItemType* InsertBefore(ItemType* pItem, const T& value); - ItemType* InsertAfter(ItemType* pItem, const T& value); - - void Clear(); - void Remove(ItemType* pItem); - -private: - const VkAllocationCallbacks* const m_pAllocationCallbacks; - VmaPoolAllocator m_ItemAllocator; - ItemType* m_pFront; - ItemType* m_pBack; - size_t m_Count; -}; - -#ifndef _VMA_RAW_LIST_FUNCTIONS -template -VmaRawList::VmaRawList(const VkAllocationCallbacks* pAllocationCallbacks) - : m_pAllocationCallbacks(pAllocationCallbacks), - m_ItemAllocator(pAllocationCallbacks, 128), - m_pFront(VMA_NULL), - m_pBack(VMA_NULL), - m_Count(0) {} - -template -VmaListItem* VmaRawList::PushFront() -{ - ItemType* const pNewItem = m_ItemAllocator.Alloc(); - pNewItem->pPrev = VMA_NULL; - if (IsEmpty()) - { - pNewItem->pNext = VMA_NULL; - m_pFront = pNewItem; - m_pBack = pNewItem; - m_Count = 1; - } - else - { - pNewItem->pNext = m_pFront; - m_pFront->pPrev = pNewItem; - m_pFront = pNewItem; - ++m_Count; - } - return pNewItem; -} - -template -VmaListItem* VmaRawList::PushBack() -{ - ItemType* const pNewItem = m_ItemAllocator.Alloc(); - pNewItem->pNext = VMA_NULL; - if(IsEmpty()) - { - pNewItem->pPrev = VMA_NULL; - m_pFront = pNewItem; - m_pBack = pNewItem; - m_Count = 1; - } - else - { - pNewItem->pPrev = m_pBack; - m_pBack->pNext = pNewItem; - m_pBack = pNewItem; - ++m_Count; - } - return pNewItem; -} - -template -VmaListItem* VmaRawList::PushFront(const T& value) -{ - ItemType* const pNewItem = PushFront(); - pNewItem->Value = value; - return pNewItem; -} - -template -VmaListItem* VmaRawList::PushBack(const T& value) -{ - ItemType* const pNewItem = PushBack(); - pNewItem->Value = value; - return pNewItem; -} - -template -void VmaRawList::PopFront() -{ - VMA_HEAVY_ASSERT(m_Count > 0); - ItemType* const pFrontItem = m_pFront; - ItemType* const pNextItem = pFrontItem->pNext; - if (pNextItem != VMA_NULL) - { - pNextItem->pPrev = VMA_NULL; - } - m_pFront = pNextItem; - m_ItemAllocator.Free(pFrontItem); - --m_Count; -} - -template -void VmaRawList::PopBack() -{ - VMA_HEAVY_ASSERT(m_Count > 0); - ItemType* const pBackItem = m_pBack; - ItemType* const pPrevItem = pBackItem->pPrev; - if(pPrevItem != VMA_NULL) - { - pPrevItem->pNext = VMA_NULL; - } - m_pBack = pPrevItem; - m_ItemAllocator.Free(pBackItem); - --m_Count; -} - -template -void VmaRawList::Clear() -{ - if (IsEmpty() == false) - { - ItemType* pItem = m_pBack; - while (pItem != VMA_NULL) - { - ItemType* const pPrevItem = pItem->pPrev; - m_ItemAllocator.Free(pItem); - pItem = pPrevItem; - } - m_pFront = VMA_NULL; - m_pBack = VMA_NULL; - m_Count = 0; - } -} - -template -void VmaRawList::Remove(ItemType* pItem) -{ - VMA_HEAVY_ASSERT(pItem != VMA_NULL); - VMA_HEAVY_ASSERT(m_Count > 0); - - if(pItem->pPrev != VMA_NULL) - { - pItem->pPrev->pNext = pItem->pNext; - } - else - { - VMA_HEAVY_ASSERT(m_pFront == pItem); - m_pFront = pItem->pNext; - } - - if(pItem->pNext != VMA_NULL) - { - pItem->pNext->pPrev = pItem->pPrev; - } - else - { - VMA_HEAVY_ASSERT(m_pBack == pItem); - m_pBack = pItem->pPrev; - } - - m_ItemAllocator.Free(pItem); - --m_Count; -} - -template -VmaListItem* VmaRawList::InsertBefore(ItemType* pItem) -{ - if(pItem != VMA_NULL) - { - ItemType* const prevItem = pItem->pPrev; - ItemType* const newItem = m_ItemAllocator.Alloc(); - newItem->pPrev = prevItem; - newItem->pNext = pItem; - pItem->pPrev = newItem; - if(prevItem != VMA_NULL) - { - prevItem->pNext = newItem; - } - else - { - VMA_HEAVY_ASSERT(m_pFront == pItem); - m_pFront = newItem; - } - ++m_Count; - return newItem; - } - else - return PushBack(); -} - -template -VmaListItem* VmaRawList::InsertAfter(ItemType* pItem) -{ - if(pItem != VMA_NULL) - { - ItemType* const nextItem = pItem->pNext; - ItemType* const newItem = m_ItemAllocator.Alloc(); - newItem->pNext = nextItem; - newItem->pPrev = pItem; - pItem->pNext = newItem; - if(nextItem != VMA_NULL) - { - nextItem->pPrev = newItem; - } - else - { - VMA_HEAVY_ASSERT(m_pBack == pItem); - m_pBack = newItem; - } - ++m_Count; - return newItem; - } - else - return PushFront(); -} - -template -VmaListItem* VmaRawList::InsertBefore(ItemType* pItem, const T& value) -{ - ItemType* const newItem = InsertBefore(pItem); - newItem->Value = value; - return newItem; -} - -template -VmaListItem* VmaRawList::InsertAfter(ItemType* pItem, const T& value) -{ - ItemType* const newItem = InsertAfter(pItem); - newItem->Value = value; - return newItem; -} -#endif // _VMA_RAW_LIST_FUNCTIONS -#endif // _VMA_RAW_LIST - -#ifndef _VMA_LIST -template -class VmaList -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaList) -public: - class reverse_iterator; - class const_iterator; - class const_reverse_iterator; - - class iterator - { - friend class const_iterator; - friend class VmaList; - public: - iterator() : m_pList(VMA_NULL), m_pItem(VMA_NULL) {} - iterator(const reverse_iterator& src) : m_pList(src.m_pList), m_pItem(src.m_pItem) {} - - T& operator*() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return m_pItem->Value; } - T* operator->() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return &m_pItem->Value; } - - bool operator==(const iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem == rhs.m_pItem; } - bool operator!=(const iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem != rhs.m_pItem; } - - iterator operator++(int) { iterator result = *this; ++*this; return result; } - iterator operator--(int) { iterator result = *this; --*this; return result; } - - iterator& operator++() { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); m_pItem = m_pItem->pNext; return *this; } - iterator& operator--(); - - private: - VmaRawList* m_pList; - VmaListItem* m_pItem; - - iterator(VmaRawList* pList, VmaListItem* pItem) : m_pList(pList), m_pItem(pItem) {} - }; - class reverse_iterator - { - friend class const_reverse_iterator; - friend class VmaList; - public: - reverse_iterator() : m_pList(VMA_NULL), m_pItem(VMA_NULL) {} - reverse_iterator(const iterator& src) : m_pList(src.m_pList), m_pItem(src.m_pItem) {} - - T& operator*() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return m_pItem->Value; } - T* operator->() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return &m_pItem->Value; } - - bool operator==(const reverse_iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem == rhs.m_pItem; } - bool operator!=(const reverse_iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem != rhs.m_pItem; } - - reverse_iterator operator++(int) { reverse_iterator result = *this; ++* this; return result; } - reverse_iterator operator--(int) { reverse_iterator result = *this; --* this; return result; } - - reverse_iterator& operator++() { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); m_pItem = m_pItem->pPrev; return *this; } - reverse_iterator& operator--(); - - private: - VmaRawList* m_pList; - VmaListItem* m_pItem; - - reverse_iterator(VmaRawList* pList, VmaListItem* pItem) : m_pList(pList), m_pItem(pItem) {} - }; - class const_iterator - { - friend class VmaList; - public: - const_iterator() : m_pList(VMA_NULL), m_pItem(VMA_NULL) {} - const_iterator(const iterator& src) : m_pList(src.m_pList), m_pItem(src.m_pItem) {} - const_iterator(const reverse_iterator& src) : m_pList(src.m_pList), m_pItem(src.m_pItem) {} - - iterator drop_const() { return { const_cast*>(m_pList), const_cast*>(m_pItem) }; } - - const T& operator*() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return m_pItem->Value; } - const T* operator->() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return &m_pItem->Value; } - - bool operator==(const const_iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem == rhs.m_pItem; } - bool operator!=(const const_iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem != rhs.m_pItem; } - - const_iterator operator++(int) { const_iterator result = *this; ++* this; return result; } - const_iterator operator--(int) { const_iterator result = *this; --* this; return result; } - - const_iterator& operator++() { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); m_pItem = m_pItem->pNext; return *this; } - const_iterator& operator--(); - - private: - const VmaRawList* m_pList; - const VmaListItem* m_pItem; - - const_iterator(const VmaRawList* pList, const VmaListItem* pItem) : m_pList(pList), m_pItem(pItem) {} - }; - class const_reverse_iterator - { - friend class VmaList; - public: - const_reverse_iterator() : m_pList(VMA_NULL), m_pItem(VMA_NULL) {} - const_reverse_iterator(const reverse_iterator& src) : m_pList(src.m_pList), m_pItem(src.m_pItem) {} - const_reverse_iterator(const iterator& src) : m_pList(src.m_pList), m_pItem(src.m_pItem) {} - - reverse_iterator drop_const() { return { const_cast*>(m_pList), const_cast*>(m_pItem) }; } - - const T& operator*() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return m_pItem->Value; } - const T* operator->() const { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); return &m_pItem->Value; } - - bool operator==(const const_reverse_iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem == rhs.m_pItem; } - bool operator!=(const const_reverse_iterator& rhs) const { VMA_HEAVY_ASSERT(m_pList == rhs.m_pList); return m_pItem != rhs.m_pItem; } - - const_reverse_iterator operator++(int) { const_reverse_iterator result = *this; ++* this; return result; } - const_reverse_iterator operator--(int) { const_reverse_iterator result = *this; --* this; return result; } - - const_reverse_iterator& operator++() { VMA_HEAVY_ASSERT(m_pItem != VMA_NULL); m_pItem = m_pItem->pPrev; return *this; } - const_reverse_iterator& operator--(); - - private: - const VmaRawList* m_pList; - const VmaListItem* m_pItem; - - const_reverse_iterator(const VmaRawList* pList, const VmaListItem* pItem) : m_pList(pList), m_pItem(pItem) {} - }; - - VmaList(const AllocatorT& allocator) : m_RawList(allocator.m_pCallbacks) {} - - bool empty() const { return m_RawList.IsEmpty(); } - size_t size() const { return m_RawList.GetCount(); } - - iterator begin() { return iterator(&m_RawList, m_RawList.Front()); } - iterator end() { return iterator(&m_RawList, VMA_NULL); } - - const_iterator cbegin() const { return const_iterator(&m_RawList, m_RawList.Front()); } - const_iterator cend() const { return const_iterator(&m_RawList, VMA_NULL); } - - const_iterator begin() const { return cbegin(); } - const_iterator end() const { return cend(); } - - reverse_iterator rbegin() { return reverse_iterator(&m_RawList, m_RawList.Back()); } - reverse_iterator rend() { return reverse_iterator(&m_RawList, VMA_NULL); } - - const_reverse_iterator crbegin() const { return const_reverse_iterator(&m_RawList, m_RawList.Back()); } - const_reverse_iterator crend() const { return const_reverse_iterator(&m_RawList, VMA_NULL); } - - const_reverse_iterator rbegin() const { return crbegin(); } - const_reverse_iterator rend() const { return crend(); } - - void push_back(const T& value) { m_RawList.PushBack(value); } - iterator insert(iterator it, const T& value) { return iterator(&m_RawList, m_RawList.InsertBefore(it.m_pItem, value)); } - - void clear() { m_RawList.Clear(); } - void erase(iterator it) { m_RawList.Remove(it.m_pItem); } - -private: - VmaRawList m_RawList; -}; - -#ifndef _VMA_LIST_FUNCTIONS -template -typename VmaList::iterator& VmaList::iterator::operator--() -{ - if (m_pItem != VMA_NULL) - { - m_pItem = m_pItem->pPrev; - } - else - { - VMA_HEAVY_ASSERT(!m_pList->IsEmpty()); - m_pItem = m_pList->Back(); - } - return *this; -} - -template -typename VmaList::reverse_iterator& VmaList::reverse_iterator::operator--() -{ - if (m_pItem != VMA_NULL) - { - m_pItem = m_pItem->pNext; - } - else - { - VMA_HEAVY_ASSERT(!m_pList->IsEmpty()); - m_pItem = m_pList->Front(); - } - return *this; -} - -template -typename VmaList::const_iterator& VmaList::const_iterator::operator--() -{ - if (m_pItem != VMA_NULL) - { - m_pItem = m_pItem->pPrev; - } - else - { - VMA_HEAVY_ASSERT(!m_pList->IsEmpty()); - m_pItem = m_pList->Back(); - } - return *this; -} - -template -typename VmaList::const_reverse_iterator& VmaList::const_reverse_iterator::operator--() -{ - if (m_pItem != VMA_NULL) - { - m_pItem = m_pItem->pNext; - } - else - { - VMA_HEAVY_ASSERT(!m_pList->IsEmpty()); - m_pItem = m_pList->Back(); - } - return *this; -} -#endif // _VMA_LIST_FUNCTIONS -#endif // _VMA_LIST - -#ifndef _VMA_INTRUSIVE_LINKED_LIST -/* -Expected interface of ItemTypeTraits: -struct MyItemTypeTraits -{ - typedef MyItem ItemType; - static ItemType* GetPrev(const ItemType* item) { return item->myPrevPtr; } - static ItemType* GetNext(const ItemType* item) { return item->myNextPtr; } - static ItemType*& AccessPrev(ItemType* item) { return item->myPrevPtr; } - static ItemType*& AccessNext(ItemType* item) { return item->myNextPtr; } -}; -*/ -template -class VmaIntrusiveLinkedList -{ -public: - typedef typename ItemTypeTraits::ItemType ItemType; - static ItemType* GetPrev(const ItemType* item) { return ItemTypeTraits::GetPrev(item); } - static ItemType* GetNext(const ItemType* item) { return ItemTypeTraits::GetNext(item); } - - // Movable, not copyable. - VmaIntrusiveLinkedList() = default; - VmaIntrusiveLinkedList(VmaIntrusiveLinkedList && src); - VmaIntrusiveLinkedList(const VmaIntrusiveLinkedList&) = delete; - VmaIntrusiveLinkedList& operator=(VmaIntrusiveLinkedList&& src); - VmaIntrusiveLinkedList& operator=(const VmaIntrusiveLinkedList&) = delete; - ~VmaIntrusiveLinkedList() { VMA_HEAVY_ASSERT(IsEmpty()); } - - size_t GetCount() const { return m_Count; } - bool IsEmpty() const { return m_Count == 0; } - ItemType* Front() { return m_Front; } - ItemType* Back() { return m_Back; } - const ItemType* Front() const { return m_Front; } - const ItemType* Back() const { return m_Back; } - - void PushBack(ItemType* item); - void PushFront(ItemType* item); - ItemType* PopBack(); - ItemType* PopFront(); - - // MyItem can be null - it means PushBack. - void InsertBefore(ItemType* existingItem, ItemType* newItem); - // MyItem can be null - it means PushFront. - void InsertAfter(ItemType* existingItem, ItemType* newItem); - void Remove(ItemType* item); - void RemoveAll(); - -private: - ItemType* m_Front = VMA_NULL; - ItemType* m_Back = VMA_NULL; - size_t m_Count = 0; -}; - -#ifndef _VMA_INTRUSIVE_LINKED_LIST_FUNCTIONS -template -VmaIntrusiveLinkedList::VmaIntrusiveLinkedList(VmaIntrusiveLinkedList&& src) - : m_Front(src.m_Front), m_Back(src.m_Back), m_Count(src.m_Count) -{ - src.m_Front = src.m_Back = VMA_NULL; - src.m_Count = 0; -} - -template -VmaIntrusiveLinkedList& VmaIntrusiveLinkedList::operator=(VmaIntrusiveLinkedList&& src) -{ - if (&src != this) - { - VMA_HEAVY_ASSERT(IsEmpty()); - m_Front = src.m_Front; - m_Back = src.m_Back; - m_Count = src.m_Count; - src.m_Front = src.m_Back = VMA_NULL; - src.m_Count = 0; - } - return *this; -} - -template -void VmaIntrusiveLinkedList::PushBack(ItemType* item) -{ - VMA_HEAVY_ASSERT(ItemTypeTraits::GetPrev(item) == VMA_NULL && ItemTypeTraits::GetNext(item) == VMA_NULL); - if (IsEmpty()) - { - m_Front = item; - m_Back = item; - m_Count = 1; - } - else - { - ItemTypeTraits::AccessPrev(item) = m_Back; - ItemTypeTraits::AccessNext(m_Back) = item; - m_Back = item; - ++m_Count; - } -} - -template -void VmaIntrusiveLinkedList::PushFront(ItemType* item) -{ - VMA_HEAVY_ASSERT(ItemTypeTraits::GetPrev(item) == VMA_NULL && ItemTypeTraits::GetNext(item) == VMA_NULL); - if (IsEmpty()) - { - m_Front = item; - m_Back = item; - m_Count = 1; - } - else - { - ItemTypeTraits::AccessNext(item) = m_Front; - ItemTypeTraits::AccessPrev(m_Front) = item; - m_Front = item; - ++m_Count; - } -} - -template -typename VmaIntrusiveLinkedList::ItemType* VmaIntrusiveLinkedList::PopBack() -{ - VMA_HEAVY_ASSERT(m_Count > 0); - ItemType* const backItem = m_Back; - ItemType* const prevItem = ItemTypeTraits::GetPrev(backItem); - if (prevItem != VMA_NULL) - { - ItemTypeTraits::AccessNext(prevItem) = VMA_NULL; - } - m_Back = prevItem; - --m_Count; - ItemTypeTraits::AccessPrev(backItem) = VMA_NULL; - ItemTypeTraits::AccessNext(backItem) = VMA_NULL; - return backItem; -} - -template -typename VmaIntrusiveLinkedList::ItemType* VmaIntrusiveLinkedList::PopFront() -{ - VMA_HEAVY_ASSERT(m_Count > 0); - ItemType* const frontItem = m_Front; - ItemType* const nextItem = ItemTypeTraits::GetNext(frontItem); - if (nextItem != VMA_NULL) - { - ItemTypeTraits::AccessPrev(nextItem) = VMA_NULL; - } - m_Front = nextItem; - --m_Count; - ItemTypeTraits::AccessPrev(frontItem) = VMA_NULL; - ItemTypeTraits::AccessNext(frontItem) = VMA_NULL; - return frontItem; -} - -template -void VmaIntrusiveLinkedList::InsertBefore(ItemType* existingItem, ItemType* newItem) -{ - VMA_HEAVY_ASSERT(newItem != VMA_NULL && ItemTypeTraits::GetPrev(newItem) == VMA_NULL && ItemTypeTraits::GetNext(newItem) == VMA_NULL); - if (existingItem != VMA_NULL) - { - ItemType* const prevItem = ItemTypeTraits::GetPrev(existingItem); - ItemTypeTraits::AccessPrev(newItem) = prevItem; - ItemTypeTraits::AccessNext(newItem) = existingItem; - ItemTypeTraits::AccessPrev(existingItem) = newItem; - if (prevItem != VMA_NULL) - { - ItemTypeTraits::AccessNext(prevItem) = newItem; - } - else - { - VMA_HEAVY_ASSERT(m_Front == existingItem); - m_Front = newItem; - } - ++m_Count; - } - else - PushBack(newItem); -} - -template -void VmaIntrusiveLinkedList::InsertAfter(ItemType* existingItem, ItemType* newItem) -{ - VMA_HEAVY_ASSERT(newItem != VMA_NULL && ItemTypeTraits::GetPrev(newItem) == VMA_NULL && ItemTypeTraits::GetNext(newItem) == VMA_NULL); - if (existingItem != VMA_NULL) - { - ItemType* const nextItem = ItemTypeTraits::GetNext(existingItem); - ItemTypeTraits::AccessNext(newItem) = nextItem; - ItemTypeTraits::AccessPrev(newItem) = existingItem; - ItemTypeTraits::AccessNext(existingItem) = newItem; - if (nextItem != VMA_NULL) - { - ItemTypeTraits::AccessPrev(nextItem) = newItem; - } - else - { - VMA_HEAVY_ASSERT(m_Back == existingItem); - m_Back = newItem; - } - ++m_Count; - } - else - return PushFront(newItem); -} - -template -void VmaIntrusiveLinkedList::Remove(ItemType* item) -{ - VMA_HEAVY_ASSERT(item != VMA_NULL && m_Count > 0); - if (ItemTypeTraits::GetPrev(item) != VMA_NULL) - { - ItemTypeTraits::AccessNext(ItemTypeTraits::AccessPrev(item)) = ItemTypeTraits::GetNext(item); - } - else - { - VMA_HEAVY_ASSERT(m_Front == item); - m_Front = ItemTypeTraits::GetNext(item); - } - - if (ItemTypeTraits::GetNext(item) != VMA_NULL) - { - ItemTypeTraits::AccessPrev(ItemTypeTraits::AccessNext(item)) = ItemTypeTraits::GetPrev(item); - } - else - { - VMA_HEAVY_ASSERT(m_Back == item); - m_Back = ItemTypeTraits::GetPrev(item); - } - ItemTypeTraits::AccessPrev(item) = VMA_NULL; - ItemTypeTraits::AccessNext(item) = VMA_NULL; - --m_Count; -} - -template -void VmaIntrusiveLinkedList::RemoveAll() -{ - if (!IsEmpty()) - { - ItemType* item = m_Back; - while (item != VMA_NULL) - { - ItemType* const prevItem = ItemTypeTraits::AccessPrev(item); - ItemTypeTraits::AccessPrev(item) = VMA_NULL; - ItemTypeTraits::AccessNext(item) = VMA_NULL; - item = prevItem; - } - m_Front = VMA_NULL; - m_Back = VMA_NULL; - m_Count = 0; - } -} -#endif // _VMA_INTRUSIVE_LINKED_LIST_FUNCTIONS -#endif // _VMA_INTRUSIVE_LINKED_LIST - -// Unused in this version. -#if 0 - -#ifndef _VMA_PAIR -template -struct VmaPair -{ - T1 first; - T2 second; - - VmaPair() : first(), second() {} - VmaPair(const T1& firstSrc, const T2& secondSrc) : first(firstSrc), second(secondSrc) {} -}; - -template -struct VmaPairFirstLess -{ - bool operator()(const VmaPair& lhs, const VmaPair& rhs) const - { - return lhs.first < rhs.first; - } - bool operator()(const VmaPair& lhs, const FirstT& rhsFirst) const - { - return lhs.first < rhsFirst; - } -}; -#endif // _VMA_PAIR - -#ifndef _VMA_MAP -/* Class compatible with subset of interface of std::unordered_map. -KeyT, ValueT must be POD because they will be stored in VmaVector. -*/ -template -class VmaMap -{ -public: - typedef VmaPair PairType; - typedef PairType* iterator; - - VmaMap(const VmaStlAllocator& allocator) : m_Vector(allocator) {} - - iterator begin() { return m_Vector.begin(); } - iterator end() { return m_Vector.end(); } - size_t size() { return m_Vector.size(); } - - void insert(const PairType& pair); - iterator find(const KeyT& key); - void erase(iterator it); - -private: - VmaVector< PairType, VmaStlAllocator> m_Vector; -}; - -#ifndef _VMA_MAP_FUNCTIONS -template -void VmaMap::insert(const PairType& pair) -{ - const size_t indexToInsert = VmaBinaryFindFirstNotLess( - m_Vector.data(), - m_Vector.data() + m_Vector.size(), - pair, - VmaPairFirstLess()) - m_Vector.data(); - VmaVectorInsert(m_Vector, indexToInsert, pair); -} - -template -VmaPair* VmaMap::find(const KeyT& key) -{ - PairType* it = VmaBinaryFindFirstNotLess( - m_Vector.data(), - m_Vector.data() + m_Vector.size(), - key, - VmaPairFirstLess()); - if ((it != m_Vector.end()) && (it->first == key)) - { - return it; - } - else - { - return m_Vector.end(); - } -} - -template -void VmaMap::erase(iterator it) -{ - VmaVectorRemove(m_Vector, it - m_Vector.begin()); -} -#endif // _VMA_MAP_FUNCTIONS -#endif // _VMA_MAP - -#endif // #if 0 - -#if !defined(_VMA_STRING_BUILDER) && VMA_STATS_STRING_ENABLED -class VmaStringBuilder -{ -public: - VmaStringBuilder(const VkAllocationCallbacks* allocationCallbacks) : m_Data(VmaStlAllocator(allocationCallbacks)) {} - ~VmaStringBuilder() = default; - - size_t GetLength() const { return m_Data.size(); } - const char* GetData() const { return m_Data.data(); } - void AddNewLine() { Add('\n'); } - void Add(char ch) { m_Data.push_back(ch); } - - void Add(const char* pStr); - void AddNumber(uint32_t num); - void AddNumber(uint64_t num); - void AddPointer(const void* ptr); - -private: - VmaVector> m_Data; -}; - -#ifndef _VMA_STRING_BUILDER_FUNCTIONS -void VmaStringBuilder::Add(const char* pStr) -{ - const size_t strLen = strlen(pStr); - if (strLen > 0) - { - const size_t oldCount = m_Data.size(); - m_Data.resize(oldCount + strLen); - memcpy(m_Data.data() + oldCount, pStr, strLen); - } -} - -void VmaStringBuilder::AddNumber(uint32_t num) -{ - char buf[11]; - buf[10] = '\0'; - char* p = &buf[10]; - do - { - *--p = '0' + (char)(num % 10); - num /= 10; - } while (num); - Add(p); -} - -void VmaStringBuilder::AddNumber(uint64_t num) -{ - char buf[21]; - buf[20] = '\0'; - char* p = &buf[20]; - do - { - *--p = '0' + (char)(num % 10); - num /= 10; - } while (num); - Add(p); -} - -void VmaStringBuilder::AddPointer(const void* ptr) -{ - char buf[21]; - VmaPtrToStr(buf, sizeof(buf), ptr); - Add(buf); -} -#endif //_VMA_STRING_BUILDER_FUNCTIONS -#endif // _VMA_STRING_BUILDER - -#if !defined(_VMA_JSON_WRITER) && VMA_STATS_STRING_ENABLED -/* -Allows to conveniently build a correct JSON document to be written to the -VmaStringBuilder passed to the constructor. -*/ -class VmaJsonWriter -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaJsonWriter) -public: - // sb - string builder to write the document to. Must remain alive for the whole lifetime of this object. - VmaJsonWriter(const VkAllocationCallbacks* pAllocationCallbacks, VmaStringBuilder& sb); - ~VmaJsonWriter(); - - // Begins object by writing "{". - // Inside an object, you must call pairs of WriteString and a value, e.g.: - // j.BeginObject(true); j.WriteString("A"); j.WriteNumber(1); j.WriteString("B"); j.WriteNumber(2); j.EndObject(); - // Will write: { "A": 1, "B": 2 } - void BeginObject(bool singleLine = false); - // Ends object by writing "}". - void EndObject(); - - // Begins array by writing "[". - // Inside an array, you can write a sequence of any values. - void BeginArray(bool singleLine = false); - // Ends array by writing "[". - void EndArray(); - - // Writes a string value inside "". - // pStr can contain any ANSI characters, including '"', new line etc. - they will be properly escaped. - void WriteString(const char* pStr); - - // Begins writing a string value. - // Call BeginString, ContinueString, ContinueString, ..., EndString instead of - // WriteString to conveniently build the string content incrementally, made of - // parts including numbers. - void BeginString(const char* pStr = VMA_NULL); - // Posts next part of an open string. - void ContinueString(const char* pStr); - // Posts next part of an open string. The number is converted to decimal characters. - void ContinueString(uint32_t n); - void ContinueString(uint64_t n); - // Posts next part of an open string. Pointer value is converted to characters - // using "%p" formatting - shown as hexadecimal number, e.g.: 000000081276Ad00 - void ContinueString_Pointer(const void* ptr); - // Ends writing a string value by writing '"'. - void EndString(const char* pStr = VMA_NULL); - - // Writes a number value. - void WriteNumber(uint32_t n); - void WriteNumber(uint64_t n); - // Writes a boolean value - false or true. - void WriteBool(bool b); - // Writes a null value. - void WriteNull(); - -private: - enum COLLECTION_TYPE - { - COLLECTION_TYPE_OBJECT, - COLLECTION_TYPE_ARRAY, - }; - struct StackItem - { - COLLECTION_TYPE type; - uint32_t valueCount; - bool singleLineMode; - }; - - static const char* const INDENT; - - VmaStringBuilder& m_SB; - VmaVector< StackItem, VmaStlAllocator > m_Stack; - bool m_InsideString; - - void BeginValue(bool isString); - void WriteIndent(bool oneLess = false); -}; -const char* const VmaJsonWriter::INDENT = " "; - -#ifndef _VMA_JSON_WRITER_FUNCTIONS -VmaJsonWriter::VmaJsonWriter(const VkAllocationCallbacks* pAllocationCallbacks, VmaStringBuilder& sb) - : m_SB(sb), - m_Stack(VmaStlAllocator(pAllocationCallbacks)), - m_InsideString(false) {} - -VmaJsonWriter::~VmaJsonWriter() -{ - VMA_ASSERT(!m_InsideString); - VMA_ASSERT(m_Stack.empty()); -} - -void VmaJsonWriter::BeginObject(bool singleLine) -{ - VMA_ASSERT(!m_InsideString); - - BeginValue(false); - m_SB.Add('{'); - - StackItem item; - item.type = COLLECTION_TYPE_OBJECT; - item.valueCount = 0; - item.singleLineMode = singleLine; - m_Stack.push_back(item); -} - -void VmaJsonWriter::EndObject() -{ - VMA_ASSERT(!m_InsideString); - - WriteIndent(true); - m_SB.Add('}'); - - VMA_ASSERT(!m_Stack.empty() && m_Stack.back().type == COLLECTION_TYPE_OBJECT); - m_Stack.pop_back(); -} - -void VmaJsonWriter::BeginArray(bool singleLine) -{ - VMA_ASSERT(!m_InsideString); - - BeginValue(false); - m_SB.Add('['); - - StackItem item; - item.type = COLLECTION_TYPE_ARRAY; - item.valueCount = 0; - item.singleLineMode = singleLine; - m_Stack.push_back(item); -} - -void VmaJsonWriter::EndArray() -{ - VMA_ASSERT(!m_InsideString); - - WriteIndent(true); - m_SB.Add(']'); - - VMA_ASSERT(!m_Stack.empty() && m_Stack.back().type == COLLECTION_TYPE_ARRAY); - m_Stack.pop_back(); -} - -void VmaJsonWriter::WriteString(const char* pStr) -{ - BeginString(pStr); - EndString(); -} - -void VmaJsonWriter::BeginString(const char* pStr) -{ - VMA_ASSERT(!m_InsideString); - - BeginValue(true); - m_SB.Add('"'); - m_InsideString = true; - if (pStr != VMA_NULL && pStr[0] != '\0') - { - ContinueString(pStr); - } -} - -void VmaJsonWriter::ContinueString(const char* pStr) -{ - VMA_ASSERT(m_InsideString); - - const size_t strLen = strlen(pStr); - for (size_t i = 0; i < strLen; ++i) - { - char ch = pStr[i]; - if (ch == '\\') - { - m_SB.Add("\\\\"); - } - else if (ch == '"') - { - m_SB.Add("\\\""); - } - else if (ch >= 32) - { - m_SB.Add(ch); - } - else switch (ch) - { - case '\b': - m_SB.Add("\\b"); - break; - case '\f': - m_SB.Add("\\f"); - break; - case '\n': - m_SB.Add("\\n"); - break; - case '\r': - m_SB.Add("\\r"); - break; - case '\t': - m_SB.Add("\\t"); - break; - default: - VMA_ASSERT(0 && "Character not currently supported."); - } - } -} - -void VmaJsonWriter::ContinueString(uint32_t n) -{ - VMA_ASSERT(m_InsideString); - m_SB.AddNumber(n); -} - -void VmaJsonWriter::ContinueString(uint64_t n) -{ - VMA_ASSERT(m_InsideString); - m_SB.AddNumber(n); -} - -void VmaJsonWriter::ContinueString_Pointer(const void* ptr) -{ - VMA_ASSERT(m_InsideString); - m_SB.AddPointer(ptr); -} - -void VmaJsonWriter::EndString(const char* pStr) -{ - VMA_ASSERT(m_InsideString); - if (pStr != VMA_NULL && pStr[0] != '\0') - { - ContinueString(pStr); - } - m_SB.Add('"'); - m_InsideString = false; -} - -void VmaJsonWriter::WriteNumber(uint32_t n) -{ - VMA_ASSERT(!m_InsideString); - BeginValue(false); - m_SB.AddNumber(n); -} - -void VmaJsonWriter::WriteNumber(uint64_t n) -{ - VMA_ASSERT(!m_InsideString); - BeginValue(false); - m_SB.AddNumber(n); -} - -void VmaJsonWriter::WriteBool(bool b) -{ - VMA_ASSERT(!m_InsideString); - BeginValue(false); - m_SB.Add(b ? "true" : "false"); -} - -void VmaJsonWriter::WriteNull() -{ - VMA_ASSERT(!m_InsideString); - BeginValue(false); - m_SB.Add("null"); -} - -void VmaJsonWriter::BeginValue(bool isString) -{ - if (!m_Stack.empty()) - { - StackItem& currItem = m_Stack.back(); - if (currItem.type == COLLECTION_TYPE_OBJECT && - currItem.valueCount % 2 == 0) - { - VMA_ASSERT(isString); - } - - if (currItem.type == COLLECTION_TYPE_OBJECT && - currItem.valueCount % 2 != 0) - { - m_SB.Add(": "); - } - else if (currItem.valueCount > 0) - { - m_SB.Add(", "); - WriteIndent(); - } - else - { - WriteIndent(); - } - ++currItem.valueCount; - } -} - -void VmaJsonWriter::WriteIndent(bool oneLess) -{ - if (!m_Stack.empty() && !m_Stack.back().singleLineMode) - { - m_SB.AddNewLine(); - - size_t count = m_Stack.size(); - if (count > 0 && oneLess) - { - --count; - } - for (size_t i = 0; i < count; ++i) - { - m_SB.Add(INDENT); - } - } -} -#endif // _VMA_JSON_WRITER_FUNCTIONS - -static void VmaPrintDetailedStatistics(VmaJsonWriter& json, const VmaDetailedStatistics& stat) -{ - json.BeginObject(); - - json.WriteString("BlockCount"); - json.WriteNumber(stat.statistics.blockCount); - json.WriteString("BlockBytes"); - json.WriteNumber(stat.statistics.blockBytes); - json.WriteString("AllocationCount"); - json.WriteNumber(stat.statistics.allocationCount); - json.WriteString("AllocationBytes"); - json.WriteNumber(stat.statistics.allocationBytes); - json.WriteString("UnusedRangeCount"); - json.WriteNumber(stat.unusedRangeCount); - - if (stat.statistics.allocationCount > 1) - { - json.WriteString("AllocationSizeMin"); - json.WriteNumber(stat.allocationSizeMin); - json.WriteString("AllocationSizeMax"); - json.WriteNumber(stat.allocationSizeMax); - } - if (stat.unusedRangeCount > 1) - { - json.WriteString("UnusedRangeSizeMin"); - json.WriteNumber(stat.unusedRangeSizeMin); - json.WriteString("UnusedRangeSizeMax"); - json.WriteNumber(stat.unusedRangeSizeMax); - } - json.EndObject(); -} -#endif // _VMA_JSON_WRITER - -#ifndef _VMA_MAPPING_HYSTERESIS - -class VmaMappingHysteresis -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaMappingHysteresis) -public: - VmaMappingHysteresis() = default; - - uint32_t GetExtraMapping() const { return m_ExtraMapping; } - - // Call when Map was called. - // Returns true if switched to extra +1 mapping reference count. - bool PostMap() - { -#if VMA_MAPPING_HYSTERESIS_ENABLED - if(m_ExtraMapping == 0) - { - ++m_MajorCounter; - if(m_MajorCounter >= COUNTER_MIN_EXTRA_MAPPING) - { - m_ExtraMapping = 1; - m_MajorCounter = 0; - m_MinorCounter = 0; - return true; - } - } - else // m_ExtraMapping == 1 - PostMinorCounter(); -#endif // #if VMA_MAPPING_HYSTERESIS_ENABLED - return false; - } - - // Call when Unmap was called. - void PostUnmap() - { -#if VMA_MAPPING_HYSTERESIS_ENABLED - if(m_ExtraMapping == 0) - ++m_MajorCounter; - else // m_ExtraMapping == 1 - PostMinorCounter(); -#endif // #if VMA_MAPPING_HYSTERESIS_ENABLED - } - - // Call when allocation was made from the memory block. - void PostAlloc() - { -#if VMA_MAPPING_HYSTERESIS_ENABLED - if(m_ExtraMapping == 1) - ++m_MajorCounter; - else // m_ExtraMapping == 0 - PostMinorCounter(); -#endif // #if VMA_MAPPING_HYSTERESIS_ENABLED - } - - // Call when allocation was freed from the memory block. - // Returns true if switched to extra -1 mapping reference count. - bool PostFree() - { -#if VMA_MAPPING_HYSTERESIS_ENABLED - if(m_ExtraMapping == 1) - { - ++m_MajorCounter; - if(m_MajorCounter >= COUNTER_MIN_EXTRA_MAPPING && - m_MajorCounter > m_MinorCounter + 1) - { - m_ExtraMapping = 0; - m_MajorCounter = 0; - m_MinorCounter = 0; - return true; - } - } - else // m_ExtraMapping == 0 - PostMinorCounter(); -#endif // #if VMA_MAPPING_HYSTERESIS_ENABLED - return false; - } - -private: - static const int32_t COUNTER_MIN_EXTRA_MAPPING = 7; - - uint32_t m_MinorCounter = 0; - uint32_t m_MajorCounter = 0; - uint32_t m_ExtraMapping = 0; // 0 or 1. - - void PostMinorCounter() - { - if(m_MinorCounter < m_MajorCounter) - { - ++m_MinorCounter; - } - else if(m_MajorCounter > 0) - { - --m_MajorCounter; - --m_MinorCounter; - } - } -}; - -#endif // _VMA_MAPPING_HYSTERESIS - -#ifndef _VMA_DEVICE_MEMORY_BLOCK -/* -Represents a single block of device memory (`VkDeviceMemory`) with all the -data about its regions (aka suballocations, #VmaAllocation), assigned and free. - -Thread-safety: -- Access to m_pMetadata must be externally synchronized. -- Map, Unmap, Bind* are synchronized internally. -*/ -class VmaDeviceMemoryBlock -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaDeviceMemoryBlock) -public: - VmaBlockMetadata* m_pMetadata; - - VmaDeviceMemoryBlock(VmaAllocator hAllocator); - ~VmaDeviceMemoryBlock(); - - // Always call after construction. - void Init( - VmaAllocator hAllocator, - VmaPool hParentPool, - uint32_t newMemoryTypeIndex, - VkDeviceMemory newMemory, - VkDeviceSize newSize, - uint32_t id, - uint32_t algorithm, - VkDeviceSize bufferImageGranularity); - // Always call before destruction. - void Destroy(VmaAllocator allocator); - - VmaPool GetParentPool() const { return m_hParentPool; } - VkDeviceMemory GetDeviceMemory() const { return m_hMemory; } - uint32_t GetMemoryTypeIndex() const { return m_MemoryTypeIndex; } - uint32_t GetId() const { return m_Id; } - void* GetMappedData() const { return m_pMappedData; } - uint32_t GetMapRefCount() const { return m_MapCount; } - - // Call when allocation/free was made from m_pMetadata. - // Used for m_MappingHysteresis. - void PostAlloc(VmaAllocator hAllocator); - void PostFree(VmaAllocator hAllocator); - - // Validates all data structures inside this object. If not valid, returns false. - bool Validate() const; - VkResult CheckCorruption(VmaAllocator hAllocator); - - // ppData can be null. - VkResult Map(VmaAllocator hAllocator, uint32_t count, void** ppData); - void Unmap(VmaAllocator hAllocator, uint32_t count); - - VkResult WriteMagicValueAfterAllocation(VmaAllocator hAllocator, VkDeviceSize allocOffset, VkDeviceSize allocSize); - VkResult ValidateMagicValueAfterAllocation(VmaAllocator hAllocator, VkDeviceSize allocOffset, VkDeviceSize allocSize); - - VkResult BindBufferMemory( - const VmaAllocator hAllocator, - const VmaAllocation hAllocation, - VkDeviceSize allocationLocalOffset, - VkBuffer hBuffer, - const void* pNext); - VkResult BindImageMemory( - const VmaAllocator hAllocator, - const VmaAllocation hAllocation, - VkDeviceSize allocationLocalOffset, - VkImage hImage, - const void* pNext); - -private: - VmaPool m_hParentPool; // VK_NULL_HANDLE if not belongs to custom pool. - uint32_t m_MemoryTypeIndex; - uint32_t m_Id; - VkDeviceMemory m_hMemory; - - /* - Protects access to m_hMemory so it is not used by multiple threads simultaneously, e.g. vkMapMemory, vkBindBufferMemory. - Also protects m_MapCount, m_pMappedData. - Allocations, deallocations, any change in m_pMetadata is protected by parent's VmaBlockVector::m_Mutex. - */ - VMA_MUTEX m_MapAndBindMutex; - VmaMappingHysteresis m_MappingHysteresis; - uint32_t m_MapCount; - void* m_pMappedData; -}; -#endif // _VMA_DEVICE_MEMORY_BLOCK - -#ifndef _VMA_ALLOCATION_T -struct VmaAllocation_T -{ - friend struct VmaDedicatedAllocationListItemTraits; - - enum FLAGS - { - FLAG_PERSISTENT_MAP = 0x01, - FLAG_MAPPING_ALLOWED = 0x02, - }; - -public: - enum ALLOCATION_TYPE - { - ALLOCATION_TYPE_NONE, - ALLOCATION_TYPE_BLOCK, - ALLOCATION_TYPE_DEDICATED, - }; - - // This struct is allocated using VmaPoolAllocator. - VmaAllocation_T(bool mappingAllowed); - ~VmaAllocation_T(); - - void InitBlockAllocation( - VmaDeviceMemoryBlock* block, - VmaAllocHandle allocHandle, - VkDeviceSize alignment, - VkDeviceSize size, - uint32_t memoryTypeIndex, - VmaSuballocationType suballocationType, - bool mapped); - // pMappedData not null means allocation is created with MAPPED flag. - void InitDedicatedAllocation( - VmaPool hParentPool, - uint32_t memoryTypeIndex, - VkDeviceMemory hMemory, - VmaSuballocationType suballocationType, - void* pMappedData, - VkDeviceSize size); - - ALLOCATION_TYPE GetType() const { return (ALLOCATION_TYPE)m_Type; } - VkDeviceSize GetAlignment() const { return m_Alignment; } - VkDeviceSize GetSize() const { return m_Size; } - void* GetUserData() const { return m_pUserData; } - const char* GetName() const { return m_pName; } - VmaSuballocationType GetSuballocationType() const { return (VmaSuballocationType)m_SuballocationType; } - - VmaDeviceMemoryBlock* GetBlock() const { VMA_ASSERT(m_Type == ALLOCATION_TYPE_BLOCK); return m_BlockAllocation.m_Block; } - uint32_t GetMemoryTypeIndex() const { return m_MemoryTypeIndex; } - bool IsPersistentMap() const { return (m_Flags & FLAG_PERSISTENT_MAP) != 0; } - bool IsMappingAllowed() const { return (m_Flags & FLAG_MAPPING_ALLOWED) != 0; } - - void SetUserData(VmaAllocator hAllocator, void* pUserData) { m_pUserData = pUserData; } - void SetName(VmaAllocator hAllocator, const char* pName); - void FreeName(VmaAllocator hAllocator); - uint8_t SwapBlockAllocation(VmaAllocator hAllocator, VmaAllocation allocation); - VmaAllocHandle GetAllocHandle() const; - VkDeviceSize GetOffset() const; - VmaPool GetParentPool() const; - VkDeviceMemory GetMemory() const; - void* GetMappedData() const; - - void BlockAllocMap(); - void BlockAllocUnmap(); - VkResult DedicatedAllocMap(VmaAllocator hAllocator, void** ppData); - void DedicatedAllocUnmap(VmaAllocator hAllocator); - -#if VMA_STATS_STRING_ENABLED - uint32_t GetBufferImageUsage() const { return m_BufferImageUsage; } - - void InitBufferImageUsage(uint32_t bufferImageUsage); - void PrintParameters(class VmaJsonWriter& json) const; -#endif - -private: - // Allocation out of VmaDeviceMemoryBlock. - struct BlockAllocation - { - VmaDeviceMemoryBlock* m_Block; - VmaAllocHandle m_AllocHandle; - }; - // Allocation for an object that has its own private VkDeviceMemory. - struct DedicatedAllocation - { - VmaPool m_hParentPool; // VK_NULL_HANDLE if not belongs to custom pool. - VkDeviceMemory m_hMemory; - void* m_pMappedData; // Not null means memory is mapped. - VmaAllocation_T* m_Prev; - VmaAllocation_T* m_Next; - }; - union - { - // Allocation out of VmaDeviceMemoryBlock. - BlockAllocation m_BlockAllocation; - // Allocation for an object that has its own private VkDeviceMemory. - DedicatedAllocation m_DedicatedAllocation; - }; - - VkDeviceSize m_Alignment; - VkDeviceSize m_Size; - void* m_pUserData; - char* m_pName; - uint32_t m_MemoryTypeIndex; - uint8_t m_Type; // ALLOCATION_TYPE - uint8_t m_SuballocationType; // VmaSuballocationType - // Reference counter for vmaMapMemory()/vmaUnmapMemory(). - uint8_t m_MapCount; - uint8_t m_Flags; // enum FLAGS -#if VMA_STATS_STRING_ENABLED - uint32_t m_BufferImageUsage; // 0 if unknown. -#endif -}; -#endif // _VMA_ALLOCATION_T - -#ifndef _VMA_DEDICATED_ALLOCATION_LIST_ITEM_TRAITS -struct VmaDedicatedAllocationListItemTraits -{ - typedef VmaAllocation_T ItemType; - - static ItemType* GetPrev(const ItemType* item) - { - VMA_HEAVY_ASSERT(item->GetType() == VmaAllocation_T::ALLOCATION_TYPE_DEDICATED); - return item->m_DedicatedAllocation.m_Prev; - } - static ItemType* GetNext(const ItemType* item) - { - VMA_HEAVY_ASSERT(item->GetType() == VmaAllocation_T::ALLOCATION_TYPE_DEDICATED); - return item->m_DedicatedAllocation.m_Next; - } - static ItemType*& AccessPrev(ItemType* item) - { - VMA_HEAVY_ASSERT(item->GetType() == VmaAllocation_T::ALLOCATION_TYPE_DEDICATED); - return item->m_DedicatedAllocation.m_Prev; - } - static ItemType*& AccessNext(ItemType* item) - { - VMA_HEAVY_ASSERT(item->GetType() == VmaAllocation_T::ALLOCATION_TYPE_DEDICATED); - return item->m_DedicatedAllocation.m_Next; - } -}; -#endif // _VMA_DEDICATED_ALLOCATION_LIST_ITEM_TRAITS - -#ifndef _VMA_DEDICATED_ALLOCATION_LIST -/* -Stores linked list of VmaAllocation_T objects. -Thread-safe, synchronized internally. -*/ -class VmaDedicatedAllocationList -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaDedicatedAllocationList) -public: - VmaDedicatedAllocationList() {} - ~VmaDedicatedAllocationList(); - - void Init(bool useMutex) { m_UseMutex = useMutex; } - bool Validate(); - - void AddDetailedStatistics(VmaDetailedStatistics& inoutStats); - void AddStatistics(VmaStatistics& inoutStats); -#if VMA_STATS_STRING_ENABLED - // Writes JSON array with the list of allocations. - void BuildStatsString(VmaJsonWriter& json); -#endif - - bool IsEmpty(); - void Register(VmaAllocation alloc); - void Unregister(VmaAllocation alloc); - -private: - typedef VmaIntrusiveLinkedList DedicatedAllocationLinkedList; - - bool m_UseMutex = true; - VMA_RW_MUTEX m_Mutex; - DedicatedAllocationLinkedList m_AllocationList; -}; - -#ifndef _VMA_DEDICATED_ALLOCATION_LIST_FUNCTIONS - -VmaDedicatedAllocationList::~VmaDedicatedAllocationList() -{ - VMA_HEAVY_ASSERT(Validate()); - - if (!m_AllocationList.IsEmpty()) - { - VMA_ASSERT(false && "Unfreed dedicated allocations found!"); - } -} - -bool VmaDedicatedAllocationList::Validate() -{ - const size_t declaredCount = m_AllocationList.GetCount(); - size_t actualCount = 0; - VmaMutexLockRead lock(m_Mutex, m_UseMutex); - for (VmaAllocation alloc = m_AllocationList.Front(); - alloc != VMA_NULL; alloc = m_AllocationList.GetNext(alloc)) - { - ++actualCount; - } - VMA_VALIDATE(actualCount == declaredCount); - - return true; -} - -void VmaDedicatedAllocationList::AddDetailedStatistics(VmaDetailedStatistics& inoutStats) -{ - for(auto* item = m_AllocationList.Front(); item != nullptr; item = DedicatedAllocationLinkedList::GetNext(item)) - { - const VkDeviceSize size = item->GetSize(); - inoutStats.statistics.blockCount++; - inoutStats.statistics.blockBytes += size; - VmaAddDetailedStatisticsAllocation(inoutStats, item->GetSize()); - } -} - -void VmaDedicatedAllocationList::AddStatistics(VmaStatistics& inoutStats) -{ - VmaMutexLockRead lock(m_Mutex, m_UseMutex); - - const uint32_t allocCount = (uint32_t)m_AllocationList.GetCount(); - inoutStats.blockCount += allocCount; - inoutStats.allocationCount += allocCount; - - for(auto* item = m_AllocationList.Front(); item != nullptr; item = DedicatedAllocationLinkedList::GetNext(item)) - { - const VkDeviceSize size = item->GetSize(); - inoutStats.blockBytes += size; - inoutStats.allocationBytes += size; - } -} - -#if VMA_STATS_STRING_ENABLED -void VmaDedicatedAllocationList::BuildStatsString(VmaJsonWriter& json) -{ - VmaMutexLockRead lock(m_Mutex, m_UseMutex); - json.BeginArray(); - for (VmaAllocation alloc = m_AllocationList.Front(); - alloc != VMA_NULL; alloc = m_AllocationList.GetNext(alloc)) - { - json.BeginObject(true); - alloc->PrintParameters(json); - json.EndObject(); - } - json.EndArray(); -} -#endif // VMA_STATS_STRING_ENABLED - -bool VmaDedicatedAllocationList::IsEmpty() -{ - VmaMutexLockRead lock(m_Mutex, m_UseMutex); - return m_AllocationList.IsEmpty(); -} - -void VmaDedicatedAllocationList::Register(VmaAllocation alloc) -{ - VmaMutexLockWrite lock(m_Mutex, m_UseMutex); - m_AllocationList.PushBack(alloc); -} - -void VmaDedicatedAllocationList::Unregister(VmaAllocation alloc) -{ - VmaMutexLockWrite lock(m_Mutex, m_UseMutex); - m_AllocationList.Remove(alloc); -} -#endif // _VMA_DEDICATED_ALLOCATION_LIST_FUNCTIONS -#endif // _VMA_DEDICATED_ALLOCATION_LIST - -#ifndef _VMA_SUBALLOCATION -/* -Represents a region of VmaDeviceMemoryBlock that is either assigned and returned as -allocated memory block or free. -*/ -struct VmaSuballocation -{ - VkDeviceSize offset; - VkDeviceSize size; - void* userData; - VmaSuballocationType type; -}; - -// Comparator for offsets. -struct VmaSuballocationOffsetLess -{ - bool operator()(const VmaSuballocation& lhs, const VmaSuballocation& rhs) const - { - return lhs.offset < rhs.offset; - } -}; - -struct VmaSuballocationOffsetGreater -{ - bool operator()(const VmaSuballocation& lhs, const VmaSuballocation& rhs) const - { - return lhs.offset > rhs.offset; - } -}; - -struct VmaSuballocationItemSizeLess -{ - bool operator()(const VmaSuballocationList::iterator lhs, - const VmaSuballocationList::iterator rhs) const - { - return lhs->size < rhs->size; - } - - bool operator()(const VmaSuballocationList::iterator lhs, - VkDeviceSize rhsSize) const - { - return lhs->size < rhsSize; - } -}; -#endif // _VMA_SUBALLOCATION - -#ifndef _VMA_ALLOCATION_REQUEST -/* -Parameters of planned allocation inside a VmaDeviceMemoryBlock. -item points to a FREE suballocation. -*/ -struct VmaAllocationRequest -{ - VmaAllocHandle allocHandle; - VkDeviceSize size; - VmaSuballocationList::iterator item; - void* customData; - uint64_t algorithmData; - VmaAllocationRequestType type; -}; -#endif // _VMA_ALLOCATION_REQUEST - -#ifndef _VMA_BLOCK_METADATA -/* -Data structure used for bookkeeping of allocations and unused ranges of memory -in a single VkDeviceMemory block. -*/ -class VmaBlockMetadata -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaBlockMetadata) -public: - // pAllocationCallbacks, if not null, must be owned externally - alive and unchanged for the whole lifetime of this object. - VmaBlockMetadata(const VkAllocationCallbacks* pAllocationCallbacks, - VkDeviceSize bufferImageGranularity, bool isVirtual); - virtual ~VmaBlockMetadata() = default; - - virtual void Init(VkDeviceSize size) { m_Size = size; } - bool IsVirtual() const { return m_IsVirtual; } - VkDeviceSize GetSize() const { return m_Size; } - - // Validates all data structures inside this object. If not valid, returns false. - virtual bool Validate() const = 0; - virtual size_t GetAllocationCount() const = 0; - virtual size_t GetFreeRegionsCount() const = 0; - virtual VkDeviceSize GetSumFreeSize() const = 0; - // Returns true if this block is empty - contains only single free suballocation. - virtual bool IsEmpty() const = 0; - virtual void GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) = 0; - virtual VkDeviceSize GetAllocationOffset(VmaAllocHandle allocHandle) const = 0; - virtual void* GetAllocationUserData(VmaAllocHandle allocHandle) const = 0; - - virtual VmaAllocHandle GetAllocationListBegin() const = 0; - virtual VmaAllocHandle GetNextAllocation(VmaAllocHandle prevAlloc) const = 0; - virtual VkDeviceSize GetNextFreeRegionSize(VmaAllocHandle alloc) const = 0; - - // Shouldn't modify blockCount. - virtual void AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const = 0; - virtual void AddStatistics(VmaStatistics& inoutStats) const = 0; - -#if VMA_STATS_STRING_ENABLED - virtual void PrintDetailedMap(class VmaJsonWriter& json) const = 0; -#endif - - // Tries to find a place for suballocation with given parameters inside this block. - // If succeeded, fills pAllocationRequest and returns true. - // If failed, returns false. - virtual bool CreateAllocationRequest( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - bool upperAddress, - VmaSuballocationType allocType, - // Always one of VMA_ALLOCATION_CREATE_STRATEGY_* or VMA_ALLOCATION_INTERNAL_STRATEGY_* flags. - uint32_t strategy, - VmaAllocationRequest* pAllocationRequest) = 0; - - virtual VkResult CheckCorruption(const void* pBlockData) = 0; - - // Makes actual allocation based on request. Request must already be checked and valid. - virtual void Alloc( - const VmaAllocationRequest& request, - VmaSuballocationType type, - void* userData) = 0; - - // Frees suballocation assigned to given memory region. - virtual void Free(VmaAllocHandle allocHandle) = 0; - - // Frees all allocations. - // Careful! Don't call it if there are VmaAllocation objects owned by userData of cleared allocations! - virtual void Clear() = 0; - - virtual void SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) = 0; - virtual void DebugLogAllAllocations() const = 0; - -protected: - const VkAllocationCallbacks* GetAllocationCallbacks() const { return m_pAllocationCallbacks; } - VkDeviceSize GetBufferImageGranularity() const { return m_BufferImageGranularity; } - VkDeviceSize GetDebugMargin() const { return VkDeviceSize(IsVirtual() ? 0 : VMA_DEBUG_MARGIN); } - - void DebugLogAllocation(VkDeviceSize offset, VkDeviceSize size, void* userData) const; -#if VMA_STATS_STRING_ENABLED - // mapRefCount == UINT32_MAX means unspecified. - void PrintDetailedMap_Begin(class VmaJsonWriter& json, - VkDeviceSize unusedBytes, - size_t allocationCount, - size_t unusedRangeCount) const; - void PrintDetailedMap_Allocation(class VmaJsonWriter& json, - VkDeviceSize offset, VkDeviceSize size, void* userData) const; - void PrintDetailedMap_UnusedRange(class VmaJsonWriter& json, - VkDeviceSize offset, - VkDeviceSize size) const; - void PrintDetailedMap_End(class VmaJsonWriter& json) const; -#endif - -private: - VkDeviceSize m_Size; - const VkAllocationCallbacks* m_pAllocationCallbacks; - const VkDeviceSize m_BufferImageGranularity; - const bool m_IsVirtual; -}; - -#ifndef _VMA_BLOCK_METADATA_FUNCTIONS -VmaBlockMetadata::VmaBlockMetadata(const VkAllocationCallbacks* pAllocationCallbacks, - VkDeviceSize bufferImageGranularity, bool isVirtual) - : m_Size(0), - m_pAllocationCallbacks(pAllocationCallbacks), - m_BufferImageGranularity(bufferImageGranularity), - m_IsVirtual(isVirtual) {} - -void VmaBlockMetadata::DebugLogAllocation(VkDeviceSize offset, VkDeviceSize size, void* userData) const -{ - if (IsVirtual()) - { - VMA_DEBUG_LOG_FORMAT("UNFREED VIRTUAL ALLOCATION; Offset: %llu; Size: %llu; UserData: %p", offset, size, userData); - } - else - { - VMA_ASSERT(userData != VMA_NULL); - VmaAllocation allocation = reinterpret_cast(userData); - - userData = allocation->GetUserData(); - const char* name = allocation->GetName(); - -#if VMA_STATS_STRING_ENABLED - VMA_DEBUG_LOG_FORMAT("UNFREED ALLOCATION; Offset: %llu; Size: %llu; UserData: %p; Name: %s; Type: %s; Usage: %u", - offset, size, userData, name ? name : "vma_empty", - VMA_SUBALLOCATION_TYPE_NAMES[allocation->GetSuballocationType()], - allocation->GetBufferImageUsage()); -#else - VMA_DEBUG_LOG_FORMAT("UNFREED ALLOCATION; Offset: %llu; Size: %llu; UserData: %p; Name: %s; Type: %u", - offset, size, userData, name ? name : "vma_empty", - (uint32_t)allocation->GetSuballocationType()); -#endif // VMA_STATS_STRING_ENABLED - } - -} - -#if VMA_STATS_STRING_ENABLED -void VmaBlockMetadata::PrintDetailedMap_Begin(class VmaJsonWriter& json, - VkDeviceSize unusedBytes, size_t allocationCount, size_t unusedRangeCount) const -{ - json.WriteString("TotalBytes"); - json.WriteNumber(GetSize()); - - json.WriteString("UnusedBytes"); - json.WriteNumber(unusedBytes); - - json.WriteString("Allocations"); - json.WriteNumber((uint64_t)allocationCount); - - json.WriteString("UnusedRanges"); - json.WriteNumber((uint64_t)unusedRangeCount); - - json.WriteString("Suballocations"); - json.BeginArray(); -} - -void VmaBlockMetadata::PrintDetailedMap_Allocation(class VmaJsonWriter& json, - VkDeviceSize offset, VkDeviceSize size, void* userData) const -{ - json.BeginObject(true); - - json.WriteString("Offset"); - json.WriteNumber(offset); - - if (IsVirtual()) - { - json.WriteString("Size"); - json.WriteNumber(size); - if (userData) - { - json.WriteString("CustomData"); - json.BeginString(); - json.ContinueString_Pointer(userData); - json.EndString(); - } - } - else - { - ((VmaAllocation)userData)->PrintParameters(json); - } - - json.EndObject(); -} - -void VmaBlockMetadata::PrintDetailedMap_UnusedRange(class VmaJsonWriter& json, - VkDeviceSize offset, VkDeviceSize size) const -{ - json.BeginObject(true); - - json.WriteString("Offset"); - json.WriteNumber(offset); - - json.WriteString("Type"); - json.WriteString(VMA_SUBALLOCATION_TYPE_NAMES[VMA_SUBALLOCATION_TYPE_FREE]); - - json.WriteString("Size"); - json.WriteNumber(size); - - json.EndObject(); -} - -void VmaBlockMetadata::PrintDetailedMap_End(class VmaJsonWriter& json) const -{ - json.EndArray(); -} -#endif // VMA_STATS_STRING_ENABLED -#endif // _VMA_BLOCK_METADATA_FUNCTIONS -#endif // _VMA_BLOCK_METADATA - -#ifndef _VMA_BLOCK_BUFFER_IMAGE_GRANULARITY -// Before deleting object of this class remember to call 'Destroy()' -class VmaBlockBufferImageGranularity final -{ -public: - struct ValidationContext - { - const VkAllocationCallbacks* allocCallbacks; - uint16_t* pageAllocs; - }; - - VmaBlockBufferImageGranularity(VkDeviceSize bufferImageGranularity); - ~VmaBlockBufferImageGranularity(); - - bool IsEnabled() const { return m_BufferImageGranularity > MAX_LOW_BUFFER_IMAGE_GRANULARITY; } - - void Init(const VkAllocationCallbacks* pAllocationCallbacks, VkDeviceSize size); - // Before destroying object you must call free it's memory - void Destroy(const VkAllocationCallbacks* pAllocationCallbacks); - - void RoundupAllocRequest(VmaSuballocationType allocType, - VkDeviceSize& inOutAllocSize, - VkDeviceSize& inOutAllocAlignment) const; - - bool CheckConflictAndAlignUp(VkDeviceSize& inOutAllocOffset, - VkDeviceSize allocSize, - VkDeviceSize blockOffset, - VkDeviceSize blockSize, - VmaSuballocationType allocType) const; - - void AllocPages(uint8_t allocType, VkDeviceSize offset, VkDeviceSize size); - void FreePages(VkDeviceSize offset, VkDeviceSize size); - void Clear(); - - ValidationContext StartValidation(const VkAllocationCallbacks* pAllocationCallbacks, - bool isVirutal) const; - bool Validate(ValidationContext& ctx, VkDeviceSize offset, VkDeviceSize size) const; - bool FinishValidation(ValidationContext& ctx) const; - -private: - static const uint16_t MAX_LOW_BUFFER_IMAGE_GRANULARITY = 256; - - struct RegionInfo - { - uint8_t allocType; - uint16_t allocCount; - }; - - VkDeviceSize m_BufferImageGranularity; - uint32_t m_RegionCount; - RegionInfo* m_RegionInfo; - - uint32_t GetStartPage(VkDeviceSize offset) const { return OffsetToPageIndex(offset & ~(m_BufferImageGranularity - 1)); } - uint32_t GetEndPage(VkDeviceSize offset, VkDeviceSize size) const { return OffsetToPageIndex((offset + size - 1) & ~(m_BufferImageGranularity - 1)); } - - uint32_t OffsetToPageIndex(VkDeviceSize offset) const; - void AllocPage(RegionInfo& page, uint8_t allocType); -}; - -#ifndef _VMA_BLOCK_BUFFER_IMAGE_GRANULARITY_FUNCTIONS -VmaBlockBufferImageGranularity::VmaBlockBufferImageGranularity(VkDeviceSize bufferImageGranularity) - : m_BufferImageGranularity(bufferImageGranularity), - m_RegionCount(0), - m_RegionInfo(VMA_NULL) {} - -VmaBlockBufferImageGranularity::~VmaBlockBufferImageGranularity() -{ - VMA_ASSERT(m_RegionInfo == VMA_NULL && "Free not called before destroying object!"); -} - -void VmaBlockBufferImageGranularity::Init(const VkAllocationCallbacks* pAllocationCallbacks, VkDeviceSize size) -{ - if (IsEnabled()) - { - m_RegionCount = static_cast(VmaDivideRoundingUp(size, m_BufferImageGranularity)); - m_RegionInfo = vma_new_array(pAllocationCallbacks, RegionInfo, m_RegionCount); - memset(m_RegionInfo, 0, m_RegionCount * sizeof(RegionInfo)); - } -} - -void VmaBlockBufferImageGranularity::Destroy(const VkAllocationCallbacks* pAllocationCallbacks) -{ - if (m_RegionInfo) - { - vma_delete_array(pAllocationCallbacks, m_RegionInfo, m_RegionCount); - m_RegionInfo = VMA_NULL; - } -} - -void VmaBlockBufferImageGranularity::RoundupAllocRequest(VmaSuballocationType allocType, - VkDeviceSize& inOutAllocSize, - VkDeviceSize& inOutAllocAlignment) const -{ - if (m_BufferImageGranularity > 1 && - m_BufferImageGranularity <= MAX_LOW_BUFFER_IMAGE_GRANULARITY) - { - if (allocType == VMA_SUBALLOCATION_TYPE_UNKNOWN || - allocType == VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN || - allocType == VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL) - { - inOutAllocAlignment = VMA_MAX(inOutAllocAlignment, m_BufferImageGranularity); - inOutAllocSize = VmaAlignUp(inOutAllocSize, m_BufferImageGranularity); - } - } -} - -bool VmaBlockBufferImageGranularity::CheckConflictAndAlignUp(VkDeviceSize& inOutAllocOffset, - VkDeviceSize allocSize, - VkDeviceSize blockOffset, - VkDeviceSize blockSize, - VmaSuballocationType allocType) const -{ - if (IsEnabled()) - { - uint32_t startPage = GetStartPage(inOutAllocOffset); - if (m_RegionInfo[startPage].allocCount > 0 && - VmaIsBufferImageGranularityConflict(static_cast(m_RegionInfo[startPage].allocType), allocType)) - { - inOutAllocOffset = VmaAlignUp(inOutAllocOffset, m_BufferImageGranularity); - if (blockSize < allocSize + inOutAllocOffset - blockOffset) - return true; - ++startPage; - } - uint32_t endPage = GetEndPage(inOutAllocOffset, allocSize); - if (endPage != startPage && - m_RegionInfo[endPage].allocCount > 0 && - VmaIsBufferImageGranularityConflict(static_cast(m_RegionInfo[endPage].allocType), allocType)) - { - return true; - } - } - return false; -} - -void VmaBlockBufferImageGranularity::AllocPages(uint8_t allocType, VkDeviceSize offset, VkDeviceSize size) -{ - if (IsEnabled()) - { - uint32_t startPage = GetStartPage(offset); - AllocPage(m_RegionInfo[startPage], allocType); - - uint32_t endPage = GetEndPage(offset, size); - if (startPage != endPage) - AllocPage(m_RegionInfo[endPage], allocType); - } -} - -void VmaBlockBufferImageGranularity::FreePages(VkDeviceSize offset, VkDeviceSize size) -{ - if (IsEnabled()) - { - uint32_t startPage = GetStartPage(offset); - --m_RegionInfo[startPage].allocCount; - if (m_RegionInfo[startPage].allocCount == 0) - m_RegionInfo[startPage].allocType = VMA_SUBALLOCATION_TYPE_FREE; - uint32_t endPage = GetEndPage(offset, size); - if (startPage != endPage) - { - --m_RegionInfo[endPage].allocCount; - if (m_RegionInfo[endPage].allocCount == 0) - m_RegionInfo[endPage].allocType = VMA_SUBALLOCATION_TYPE_FREE; - } - } -} - -void VmaBlockBufferImageGranularity::Clear() -{ - if (m_RegionInfo) - memset(m_RegionInfo, 0, m_RegionCount * sizeof(RegionInfo)); -} - -VmaBlockBufferImageGranularity::ValidationContext VmaBlockBufferImageGranularity::StartValidation( - const VkAllocationCallbacks* pAllocationCallbacks, bool isVirutal) const -{ - ValidationContext ctx{ pAllocationCallbacks, VMA_NULL }; - if (!isVirutal && IsEnabled()) - { - ctx.pageAllocs = vma_new_array(pAllocationCallbacks, uint16_t, m_RegionCount); - memset(ctx.pageAllocs, 0, m_RegionCount * sizeof(uint16_t)); - } - return ctx; -} - -bool VmaBlockBufferImageGranularity::Validate(ValidationContext& ctx, - VkDeviceSize offset, VkDeviceSize size) const -{ - if (IsEnabled()) - { - uint32_t start = GetStartPage(offset); - ++ctx.pageAllocs[start]; - VMA_VALIDATE(m_RegionInfo[start].allocCount > 0); - - uint32_t end = GetEndPage(offset, size); - if (start != end) - { - ++ctx.pageAllocs[end]; - VMA_VALIDATE(m_RegionInfo[end].allocCount > 0); - } - } - return true; -} - -bool VmaBlockBufferImageGranularity::FinishValidation(ValidationContext& ctx) const -{ - // Check proper page structure - if (IsEnabled()) - { - VMA_ASSERT(ctx.pageAllocs != VMA_NULL && "Validation context not initialized!"); - - for (uint32_t page = 0; page < m_RegionCount; ++page) - { - VMA_VALIDATE(ctx.pageAllocs[page] == m_RegionInfo[page].allocCount); - } - vma_delete_array(ctx.allocCallbacks, ctx.pageAllocs, m_RegionCount); - ctx.pageAllocs = VMA_NULL; - } - return true; -} - -uint32_t VmaBlockBufferImageGranularity::OffsetToPageIndex(VkDeviceSize offset) const -{ - return static_cast(offset >> VMA_BITSCAN_MSB(m_BufferImageGranularity)); -} - -void VmaBlockBufferImageGranularity::AllocPage(RegionInfo& page, uint8_t allocType) -{ - // When current alloc type is free then it can be overridden by new type - if (page.allocCount == 0 || (page.allocCount > 0 && page.allocType == VMA_SUBALLOCATION_TYPE_FREE)) - page.allocType = allocType; - - ++page.allocCount; -} -#endif // _VMA_BLOCK_BUFFER_IMAGE_GRANULARITY_FUNCTIONS -#endif // _VMA_BLOCK_BUFFER_IMAGE_GRANULARITY - -#if 0 -#ifndef _VMA_BLOCK_METADATA_GENERIC -class VmaBlockMetadata_Generic : public VmaBlockMetadata -{ - friend class VmaDefragmentationAlgorithm_Generic; - friend class VmaDefragmentationAlgorithm_Fast; - VMA_CLASS_NO_COPY_NO_MOVE(VmaBlockMetadata_Generic) -public: - VmaBlockMetadata_Generic(const VkAllocationCallbacks* pAllocationCallbacks, - VkDeviceSize bufferImageGranularity, bool isVirtual); - virtual ~VmaBlockMetadata_Generic() = default; - - size_t GetAllocationCount() const override { return m_Suballocations.size() - m_FreeCount; } - VkDeviceSize GetSumFreeSize() const override { return m_SumFreeSize; } - bool IsEmpty() const override { return (m_Suballocations.size() == 1) && (m_FreeCount == 1); } - void Free(VmaAllocHandle allocHandle) override { FreeSuballocation(FindAtOffset((VkDeviceSize)allocHandle - 1)); } - VkDeviceSize GetAllocationOffset(VmaAllocHandle allocHandle) const override { return (VkDeviceSize)allocHandle - 1; } - - void Init(VkDeviceSize size) override; - bool Validate() const override; - - void AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const override; - void AddStatistics(VmaStatistics& inoutStats) const override; - -#if VMA_STATS_STRING_ENABLED - void PrintDetailedMap(class VmaJsonWriter& json, uint32_t mapRefCount) const override; -#endif - - bool CreateAllocationRequest( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - bool upperAddress, - VmaSuballocationType allocType, - uint32_t strategy, - VmaAllocationRequest* pAllocationRequest) override; - - VkResult CheckCorruption(const void* pBlockData) override; - - void Alloc( - const VmaAllocationRequest& request, - VmaSuballocationType type, - void* userData) override; - - void GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) override; - void* GetAllocationUserData(VmaAllocHandle allocHandle) const override; - VmaAllocHandle GetAllocationListBegin() const override; - VmaAllocHandle GetNextAllocation(VmaAllocHandle prevAlloc) const override; - void Clear() override; - void SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) override; - void DebugLogAllAllocations() const override; - -private: - uint32_t m_FreeCount; - VkDeviceSize m_SumFreeSize; - VmaSuballocationList m_Suballocations; - // Suballocations that are free. Sorted by size, ascending. - VmaVector> m_FreeSuballocationsBySize; - - VkDeviceSize AlignAllocationSize(VkDeviceSize size) const { return IsVirtual() ? size : VmaAlignUp(size, (VkDeviceSize)16); } - - VmaSuballocationList::iterator FindAtOffset(VkDeviceSize offset) const; - bool ValidateFreeSuballocationList() const; - - // Checks if requested suballocation with given parameters can be placed in given pFreeSuballocItem. - // If yes, fills pOffset and returns true. If no, returns false. - bool CheckAllocation( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - VmaSuballocationType allocType, - VmaSuballocationList::const_iterator suballocItem, - VmaAllocHandle* pAllocHandle) const; - - // Given free suballocation, it merges it with following one, which must also be free. - void MergeFreeWithNext(VmaSuballocationList::iterator item); - // Releases given suballocation, making it free. - // Merges it with adjacent free suballocations if applicable. - // Returns iterator to new free suballocation at this place. - VmaSuballocationList::iterator FreeSuballocation(VmaSuballocationList::iterator suballocItem); - // Given free suballocation, it inserts it into sorted list of - // m_FreeSuballocationsBySize if it is suitable. - void RegisterFreeSuballocation(VmaSuballocationList::iterator item); - // Given free suballocation, it removes it from sorted list of - // m_FreeSuballocationsBySize if it is suitable. - void UnregisterFreeSuballocation(VmaSuballocationList::iterator item); -}; - -#ifndef _VMA_BLOCK_METADATA_GENERIC_FUNCTIONS -VmaBlockMetadata_Generic::VmaBlockMetadata_Generic(const VkAllocationCallbacks* pAllocationCallbacks, - VkDeviceSize bufferImageGranularity, bool isVirtual) - : VmaBlockMetadata(pAllocationCallbacks, bufferImageGranularity, isVirtual), - m_FreeCount(0), - m_SumFreeSize(0), - m_Suballocations(VmaStlAllocator(pAllocationCallbacks)), - m_FreeSuballocationsBySize(VmaStlAllocator(pAllocationCallbacks)) {} - -void VmaBlockMetadata_Generic::Init(VkDeviceSize size) -{ - VmaBlockMetadata::Init(size); - - m_FreeCount = 1; - m_SumFreeSize = size; - - VmaSuballocation suballoc = {}; - suballoc.offset = 0; - suballoc.size = size; - suballoc.type = VMA_SUBALLOCATION_TYPE_FREE; - - m_Suballocations.push_back(suballoc); - m_FreeSuballocationsBySize.push_back(m_Suballocations.begin()); -} - -bool VmaBlockMetadata_Generic::Validate() const -{ - VMA_VALIDATE(!m_Suballocations.empty()); - - // Expected offset of new suballocation as calculated from previous ones. - VkDeviceSize calculatedOffset = 0; - // Expected number of free suballocations as calculated from traversing their list. - uint32_t calculatedFreeCount = 0; - // Expected sum size of free suballocations as calculated from traversing their list. - VkDeviceSize calculatedSumFreeSize = 0; - // Expected number of free suballocations that should be registered in - // m_FreeSuballocationsBySize calculated from traversing their list. - size_t freeSuballocationsToRegister = 0; - // True if previous visited suballocation was free. - bool prevFree = false; - - const VkDeviceSize debugMargin = GetDebugMargin(); - - for (const auto& subAlloc : m_Suballocations) - { - // Actual offset of this suballocation doesn't match expected one. - VMA_VALIDATE(subAlloc.offset == calculatedOffset); - - const bool currFree = (subAlloc.type == VMA_SUBALLOCATION_TYPE_FREE); - // Two adjacent free suballocations are invalid. They should be merged. - VMA_VALIDATE(!prevFree || !currFree); - - VmaAllocation alloc = (VmaAllocation)subAlloc.userData; - if (!IsVirtual()) - { - VMA_VALIDATE(currFree == (alloc == VK_NULL_HANDLE)); - } - - if (currFree) - { - calculatedSumFreeSize += subAlloc.size; - ++calculatedFreeCount; - ++freeSuballocationsToRegister; - - // Margin required between allocations - every free space must be at least that large. - VMA_VALIDATE(subAlloc.size >= debugMargin); - } - else - { - if (!IsVirtual()) - { - VMA_VALIDATE((VkDeviceSize)alloc->GetAllocHandle() == subAlloc.offset + 1); - VMA_VALIDATE(alloc->GetSize() == subAlloc.size); - } - - // Margin required between allocations - previous allocation must be free. - VMA_VALIDATE(debugMargin == 0 || prevFree); - } - - calculatedOffset += subAlloc.size; - prevFree = currFree; - } - - // Number of free suballocations registered in m_FreeSuballocationsBySize doesn't - // match expected one. - VMA_VALIDATE(m_FreeSuballocationsBySize.size() == freeSuballocationsToRegister); - - VkDeviceSize lastSize = 0; - for (size_t i = 0; i < m_FreeSuballocationsBySize.size(); ++i) - { - VmaSuballocationList::iterator suballocItem = m_FreeSuballocationsBySize[i]; - - // Only free suballocations can be registered in m_FreeSuballocationsBySize. - VMA_VALIDATE(suballocItem->type == VMA_SUBALLOCATION_TYPE_FREE); - // They must be sorted by size ascending. - VMA_VALIDATE(suballocItem->size >= lastSize); - - lastSize = suballocItem->size; - } - - // Check if totals match calculated values. - VMA_VALIDATE(ValidateFreeSuballocationList()); - VMA_VALIDATE(calculatedOffset == GetSize()); - VMA_VALIDATE(calculatedSumFreeSize == m_SumFreeSize); - VMA_VALIDATE(calculatedFreeCount == m_FreeCount); - - return true; -} - -void VmaBlockMetadata_Generic::AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const -{ - const uint32_t rangeCount = (uint32_t)m_Suballocations.size(); - inoutStats.statistics.blockCount++; - inoutStats.statistics.blockBytes += GetSize(); - - for (const auto& suballoc : m_Suballocations) - { - if (suballoc.type != VMA_SUBALLOCATION_TYPE_FREE) - VmaAddDetailedStatisticsAllocation(inoutStats, suballoc.size); - else - VmaAddDetailedStatisticsUnusedRange(inoutStats, suballoc.size); - } -} - -void VmaBlockMetadata_Generic::AddStatistics(VmaStatistics& inoutStats) const -{ - inoutStats.blockCount++; - inoutStats.allocationCount += (uint32_t)m_Suballocations.size() - m_FreeCount; - inoutStats.blockBytes += GetSize(); - inoutStats.allocationBytes += GetSize() - m_SumFreeSize; -} - -#if VMA_STATS_STRING_ENABLED -void VmaBlockMetadata_Generic::PrintDetailedMap(class VmaJsonWriter& json, uint32_t mapRefCount) const -{ - PrintDetailedMap_Begin(json, - m_SumFreeSize, // unusedBytes - m_Suballocations.size() - (size_t)m_FreeCount, // allocationCount - m_FreeCount, // unusedRangeCount - mapRefCount); - - for (const auto& suballoc : m_Suballocations) - { - if (suballoc.type == VMA_SUBALLOCATION_TYPE_FREE) - { - PrintDetailedMap_UnusedRange(json, suballoc.offset, suballoc.size); - } - else - { - PrintDetailedMap_Allocation(json, suballoc.offset, suballoc.size, suballoc.userData); - } - } - - PrintDetailedMap_End(json); -} -#endif // VMA_STATS_STRING_ENABLED - -bool VmaBlockMetadata_Generic::CreateAllocationRequest( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - bool upperAddress, - VmaSuballocationType allocType, - uint32_t strategy, - VmaAllocationRequest* pAllocationRequest) -{ - VMA_ASSERT(allocSize > 0); - VMA_ASSERT(!upperAddress); - VMA_ASSERT(allocType != VMA_SUBALLOCATION_TYPE_FREE); - VMA_ASSERT(pAllocationRequest != VMA_NULL); - VMA_HEAVY_ASSERT(Validate()); - - allocSize = AlignAllocationSize(allocSize); - - pAllocationRequest->type = VmaAllocationRequestType::Normal; - pAllocationRequest->size = allocSize; - - const VkDeviceSize debugMargin = GetDebugMargin(); - - // There is not enough total free space in this block to fulfill the request: Early return. - if (m_SumFreeSize < allocSize + debugMargin) - { - return false; - } - - // New algorithm, efficiently searching freeSuballocationsBySize. - const size_t freeSuballocCount = m_FreeSuballocationsBySize.size(); - if (freeSuballocCount > 0) - { - if (strategy == 0 || - strategy == VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT) - { - // Find first free suballocation with size not less than allocSize + debugMargin. - VmaSuballocationList::iterator* const it = VmaBinaryFindFirstNotLess( - m_FreeSuballocationsBySize.data(), - m_FreeSuballocationsBySize.data() + freeSuballocCount, - allocSize + debugMargin, - VmaSuballocationItemSizeLess()); - size_t index = it - m_FreeSuballocationsBySize.data(); - for (; index < freeSuballocCount; ++index) - { - if (CheckAllocation( - allocSize, - allocAlignment, - allocType, - m_FreeSuballocationsBySize[index], - &pAllocationRequest->allocHandle)) - { - pAllocationRequest->item = m_FreeSuballocationsBySize[index]; - return true; - } - } - } - else if (strategy == VMA_ALLOCATION_INTERNAL_STRATEGY_MIN_OFFSET) - { - for (VmaSuballocationList::iterator it = m_Suballocations.begin(); - it != m_Suballocations.end(); - ++it) - { - if (it->type == VMA_SUBALLOCATION_TYPE_FREE && CheckAllocation( - allocSize, - allocAlignment, - allocType, - it, - &pAllocationRequest->allocHandle)) - { - pAllocationRequest->item = it; - return true; - } - } - } - else - { - VMA_ASSERT(strategy & (VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT | VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT )); - // Search staring from biggest suballocations. - for (size_t index = freeSuballocCount; index--; ) - { - if (CheckAllocation( - allocSize, - allocAlignment, - allocType, - m_FreeSuballocationsBySize[index], - &pAllocationRequest->allocHandle)) - { - pAllocationRequest->item = m_FreeSuballocationsBySize[index]; - return true; - } - } - } - } - - return false; -} - -VkResult VmaBlockMetadata_Generic::CheckCorruption(const void* pBlockData) -{ - for (auto& suballoc : m_Suballocations) - { - if (suballoc.type != VMA_SUBALLOCATION_TYPE_FREE) - { - if (!VmaValidateMagicValue(pBlockData, suballoc.offset + suballoc.size)) - { - VMA_ASSERT(0 && "MEMORY CORRUPTION DETECTED AFTER VALIDATED ALLOCATION!"); - return VK_ERROR_UNKNOWN_COPY; - } - } - } - - return VK_SUCCESS; -} - -void VmaBlockMetadata_Generic::Alloc( - const VmaAllocationRequest& request, - VmaSuballocationType type, - void* userData) -{ - VMA_ASSERT(request.type == VmaAllocationRequestType::Normal); - VMA_ASSERT(request.item != m_Suballocations.end()); - VmaSuballocation& suballoc = *request.item; - // Given suballocation is a free block. - VMA_ASSERT(suballoc.type == VMA_SUBALLOCATION_TYPE_FREE); - - // Given offset is inside this suballocation. - VMA_ASSERT((VkDeviceSize)request.allocHandle - 1 >= suballoc.offset); - const VkDeviceSize paddingBegin = (VkDeviceSize)request.allocHandle - suballoc.offset - 1; - VMA_ASSERT(suballoc.size >= paddingBegin + request.size); - const VkDeviceSize paddingEnd = suballoc.size - paddingBegin - request.size; - - // Unregister this free suballocation from m_FreeSuballocationsBySize and update - // it to become used. - UnregisterFreeSuballocation(request.item); - - suballoc.offset = (VkDeviceSize)request.allocHandle - 1; - suballoc.size = request.size; - suballoc.type = type; - suballoc.userData = userData; - - // If there are any free bytes remaining at the end, insert new free suballocation after current one. - if (paddingEnd) - { - VmaSuballocation paddingSuballoc = {}; - paddingSuballoc.offset = suballoc.offset + suballoc.size; - paddingSuballoc.size = paddingEnd; - paddingSuballoc.type = VMA_SUBALLOCATION_TYPE_FREE; - VmaSuballocationList::iterator next = request.item; - ++next; - const VmaSuballocationList::iterator paddingEndItem = - m_Suballocations.insert(next, paddingSuballoc); - RegisterFreeSuballocation(paddingEndItem); - } - - // If there are any free bytes remaining at the beginning, insert new free suballocation before current one. - if (paddingBegin) - { - VmaSuballocation paddingSuballoc = {}; - paddingSuballoc.offset = suballoc.offset - paddingBegin; - paddingSuballoc.size = paddingBegin; - paddingSuballoc.type = VMA_SUBALLOCATION_TYPE_FREE; - const VmaSuballocationList::iterator paddingBeginItem = - m_Suballocations.insert(request.item, paddingSuballoc); - RegisterFreeSuballocation(paddingBeginItem); - } - - // Update totals. - m_FreeCount = m_FreeCount - 1; - if (paddingBegin > 0) - { - ++m_FreeCount; - } - if (paddingEnd > 0) - { - ++m_FreeCount; - } - m_SumFreeSize -= request.size; -} - -void VmaBlockMetadata_Generic::GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) -{ - outInfo.offset = (VkDeviceSize)allocHandle - 1; - const VmaSuballocation& suballoc = *FindAtOffset(outInfo.offset); - outInfo.size = suballoc.size; - outInfo.pUserData = suballoc.userData; -} - -void* VmaBlockMetadata_Generic::GetAllocationUserData(VmaAllocHandle allocHandle) const -{ - return FindAtOffset((VkDeviceSize)allocHandle - 1)->userData; -} - -VmaAllocHandle VmaBlockMetadata_Generic::GetAllocationListBegin() const -{ - if (IsEmpty()) - return VK_NULL_HANDLE; - - for (const auto& suballoc : m_Suballocations) - { - if (suballoc.type != VMA_SUBALLOCATION_TYPE_FREE) - return (VmaAllocHandle)(suballoc.offset + 1); - } - VMA_ASSERT(false && "Should contain at least 1 allocation!"); - return VK_NULL_HANDLE; -} - -VmaAllocHandle VmaBlockMetadata_Generic::GetNextAllocation(VmaAllocHandle prevAlloc) const -{ - VmaSuballocationList::const_iterator prev = FindAtOffset((VkDeviceSize)prevAlloc - 1); - - for (VmaSuballocationList::const_iterator it = ++prev; it != m_Suballocations.end(); ++it) - { - if (it->type != VMA_SUBALLOCATION_TYPE_FREE) - return (VmaAllocHandle)(it->offset + 1); - } - return VK_NULL_HANDLE; -} - -void VmaBlockMetadata_Generic::Clear() -{ - const VkDeviceSize size = GetSize(); - - VMA_ASSERT(IsVirtual()); - m_FreeCount = 1; - m_SumFreeSize = size; - m_Suballocations.clear(); - m_FreeSuballocationsBySize.clear(); - - VmaSuballocation suballoc = {}; - suballoc.offset = 0; - suballoc.size = size; - suballoc.type = VMA_SUBALLOCATION_TYPE_FREE; - m_Suballocations.push_back(suballoc); - - m_FreeSuballocationsBySize.push_back(m_Suballocations.begin()); -} - -void VmaBlockMetadata_Generic::SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) -{ - VmaSuballocation& suballoc = *FindAtOffset((VkDeviceSize)allocHandle - 1); - suballoc.userData = userData; -} - -void VmaBlockMetadata_Generic::DebugLogAllAllocations() const -{ - for (const auto& suballoc : m_Suballocations) - { - if (suballoc.type != VMA_SUBALLOCATION_TYPE_FREE) - DebugLogAllocation(suballoc.offset, suballoc.size, suballoc.userData); - } -} - -VmaSuballocationList::iterator VmaBlockMetadata_Generic::FindAtOffset(VkDeviceSize offset) const -{ - VMA_HEAVY_ASSERT(!m_Suballocations.empty()); - const VkDeviceSize last = m_Suballocations.rbegin()->offset; - if (last == offset) - return m_Suballocations.rbegin().drop_const(); - const VkDeviceSize first = m_Suballocations.begin()->offset; - if (first == offset) - return m_Suballocations.begin().drop_const(); - - const size_t suballocCount = m_Suballocations.size(); - const VkDeviceSize step = (last - first + m_Suballocations.begin()->size) / suballocCount; - auto findSuballocation = [&](auto begin, auto end) -> VmaSuballocationList::iterator - { - for (auto suballocItem = begin; - suballocItem != end; - ++suballocItem) - { - if (suballocItem->offset == offset) - return suballocItem.drop_const(); - } - VMA_ASSERT(false && "Not found!"); - return m_Suballocations.end().drop_const(); - }; - // If requested offset is closer to the end of range, search from the end - if (offset - first > suballocCount * step / 2) - { - return findSuballocation(m_Suballocations.rbegin(), m_Suballocations.rend()); - } - return findSuballocation(m_Suballocations.begin(), m_Suballocations.end()); -} - -bool VmaBlockMetadata_Generic::ValidateFreeSuballocationList() const -{ - VkDeviceSize lastSize = 0; - for (size_t i = 0, count = m_FreeSuballocationsBySize.size(); i < count; ++i) - { - const VmaSuballocationList::iterator it = m_FreeSuballocationsBySize[i]; - - VMA_VALIDATE(it->type == VMA_SUBALLOCATION_TYPE_FREE); - VMA_VALIDATE(it->size >= lastSize); - lastSize = it->size; - } - return true; -} - -bool VmaBlockMetadata_Generic::CheckAllocation( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - VmaSuballocationType allocType, - VmaSuballocationList::const_iterator suballocItem, - VmaAllocHandle* pAllocHandle) const -{ - VMA_ASSERT(allocSize > 0); - VMA_ASSERT(allocType != VMA_SUBALLOCATION_TYPE_FREE); - VMA_ASSERT(suballocItem != m_Suballocations.cend()); - VMA_ASSERT(pAllocHandle != VMA_NULL); - - const VkDeviceSize debugMargin = GetDebugMargin(); - const VkDeviceSize bufferImageGranularity = GetBufferImageGranularity(); - - const VmaSuballocation& suballoc = *suballocItem; - VMA_ASSERT(suballoc.type == VMA_SUBALLOCATION_TYPE_FREE); - - // Size of this suballocation is too small for this request: Early return. - if (suballoc.size < allocSize) - { - return false; - } - - // Start from offset equal to beginning of this suballocation. - VkDeviceSize offset = suballoc.offset + (suballocItem == m_Suballocations.cbegin() ? 0 : GetDebugMargin()); - - // Apply debugMargin from the end of previous alloc. - if (debugMargin > 0) - { - offset += debugMargin; - } - - // Apply alignment. - offset = VmaAlignUp(offset, allocAlignment); - - // Check previous suballocations for BufferImageGranularity conflicts. - // Make bigger alignment if necessary. - if (bufferImageGranularity > 1 && bufferImageGranularity != allocAlignment) - { - bool bufferImageGranularityConflict = false; - VmaSuballocationList::const_iterator prevSuballocItem = suballocItem; - while (prevSuballocItem != m_Suballocations.cbegin()) - { - --prevSuballocItem; - const VmaSuballocation& prevSuballoc = *prevSuballocItem; - if (VmaBlocksOnSamePage(prevSuballoc.offset, prevSuballoc.size, offset, bufferImageGranularity)) - { - if (VmaIsBufferImageGranularityConflict(prevSuballoc.type, allocType)) - { - bufferImageGranularityConflict = true; - break; - } - } - else - // Already on previous page. - break; - } - if (bufferImageGranularityConflict) - { - offset = VmaAlignUp(offset, bufferImageGranularity); - } - } - - // Calculate padding at the beginning based on current offset. - const VkDeviceSize paddingBegin = offset - suballoc.offset; - - // Fail if requested size plus margin after is bigger than size of this suballocation. - if (paddingBegin + allocSize + debugMargin > suballoc.size) - { - return false; - } - - // Check next suballocations for BufferImageGranularity conflicts. - // If conflict exists, allocation cannot be made here. - if (allocSize % bufferImageGranularity || offset % bufferImageGranularity) - { - VmaSuballocationList::const_iterator nextSuballocItem = suballocItem; - ++nextSuballocItem; - while (nextSuballocItem != m_Suballocations.cend()) - { - const VmaSuballocation& nextSuballoc = *nextSuballocItem; - if (VmaBlocksOnSamePage(offset, allocSize, nextSuballoc.offset, bufferImageGranularity)) - { - if (VmaIsBufferImageGranularityConflict(allocType, nextSuballoc.type)) - { - return false; - } - } - else - { - // Already on next page. - break; - } - ++nextSuballocItem; - } - } - - *pAllocHandle = (VmaAllocHandle)(offset + 1); - // All tests passed: Success. pAllocHandle is already filled. - return true; -} - -void VmaBlockMetadata_Generic::MergeFreeWithNext(VmaSuballocationList::iterator item) -{ - VMA_ASSERT(item != m_Suballocations.end()); - VMA_ASSERT(item->type == VMA_SUBALLOCATION_TYPE_FREE); - - VmaSuballocationList::iterator nextItem = item; - ++nextItem; - VMA_ASSERT(nextItem != m_Suballocations.end()); - VMA_ASSERT(nextItem->type == VMA_SUBALLOCATION_TYPE_FREE); - - item->size += nextItem->size; - --m_FreeCount; - m_Suballocations.erase(nextItem); -} - -VmaSuballocationList::iterator VmaBlockMetadata_Generic::FreeSuballocation(VmaSuballocationList::iterator suballocItem) -{ - // Change this suballocation to be marked as free. - VmaSuballocation& suballoc = *suballocItem; - suballoc.type = VMA_SUBALLOCATION_TYPE_FREE; - suballoc.userData = VMA_NULL; - - // Update totals. - ++m_FreeCount; - m_SumFreeSize += suballoc.size; - - // Merge with previous and/or next suballocation if it's also free. - bool mergeWithNext = false; - bool mergeWithPrev = false; - - VmaSuballocationList::iterator nextItem = suballocItem; - ++nextItem; - if ((nextItem != m_Suballocations.end()) && (nextItem->type == VMA_SUBALLOCATION_TYPE_FREE)) - { - mergeWithNext = true; - } - - VmaSuballocationList::iterator prevItem = suballocItem; - if (suballocItem != m_Suballocations.begin()) - { - --prevItem; - if (prevItem->type == VMA_SUBALLOCATION_TYPE_FREE) - { - mergeWithPrev = true; - } - } - - if (mergeWithNext) - { - UnregisterFreeSuballocation(nextItem); - MergeFreeWithNext(suballocItem); - } - - if (mergeWithPrev) - { - UnregisterFreeSuballocation(prevItem); - MergeFreeWithNext(prevItem); - RegisterFreeSuballocation(prevItem); - return prevItem; - } - else - { - RegisterFreeSuballocation(suballocItem); - return suballocItem; - } -} - -void VmaBlockMetadata_Generic::RegisterFreeSuballocation(VmaSuballocationList::iterator item) -{ - VMA_ASSERT(item->type == VMA_SUBALLOCATION_TYPE_FREE); - VMA_ASSERT(item->size > 0); - - // You may want to enable this validation at the beginning or at the end of - // this function, depending on what do you want to check. - VMA_HEAVY_ASSERT(ValidateFreeSuballocationList()); - - if (m_FreeSuballocationsBySize.empty()) - { - m_FreeSuballocationsBySize.push_back(item); - } - else - { - VmaVectorInsertSorted(m_FreeSuballocationsBySize, item); - } - - //VMA_HEAVY_ASSERT(ValidateFreeSuballocationList()); -} - -void VmaBlockMetadata_Generic::UnregisterFreeSuballocation(VmaSuballocationList::iterator item) -{ - VMA_ASSERT(item->type == VMA_SUBALLOCATION_TYPE_FREE); - VMA_ASSERT(item->size > 0); - - // You may want to enable this validation at the beginning or at the end of - // this function, depending on what do you want to check. - VMA_HEAVY_ASSERT(ValidateFreeSuballocationList()); - - VmaSuballocationList::iterator* const it = VmaBinaryFindFirstNotLess( - m_FreeSuballocationsBySize.data(), - m_FreeSuballocationsBySize.data() + m_FreeSuballocationsBySize.size(), - item, - VmaSuballocationItemSizeLess()); - for (size_t index = it - m_FreeSuballocationsBySize.data(); - index < m_FreeSuballocationsBySize.size(); - ++index) - { - if (m_FreeSuballocationsBySize[index] == item) - { - VmaVectorRemove(m_FreeSuballocationsBySize, index); - return; - } - VMA_ASSERT((m_FreeSuballocationsBySize[index]->size == item->size) && "Not found."); - } - VMA_ASSERT(0 && "Not found."); - - //VMA_HEAVY_ASSERT(ValidateFreeSuballocationList()); -} -#endif // _VMA_BLOCK_METADATA_GENERIC_FUNCTIONS -#endif // _VMA_BLOCK_METADATA_GENERIC -#endif // #if 0 - -#ifndef _VMA_BLOCK_METADATA_LINEAR -/* -Allocations and their references in internal data structure look like this: - -if(m_2ndVectorMode == SECOND_VECTOR_EMPTY): - - 0 +-------+ - | | - | | - | | - +-------+ - | Alloc | 1st[m_1stNullItemsBeginCount] - +-------+ - | Alloc | 1st[m_1stNullItemsBeginCount + 1] - +-------+ - | ... | - +-------+ - | Alloc | 1st[1st.size() - 1] - +-------+ - | | - | | - | | -GetSize() +-------+ - -if(m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER): - - 0 +-------+ - | Alloc | 2nd[0] - +-------+ - | Alloc | 2nd[1] - +-------+ - | ... | - +-------+ - | Alloc | 2nd[2nd.size() - 1] - +-------+ - | | - | | - | | - +-------+ - | Alloc | 1st[m_1stNullItemsBeginCount] - +-------+ - | Alloc | 1st[m_1stNullItemsBeginCount + 1] - +-------+ - | ... | - +-------+ - | Alloc | 1st[1st.size() - 1] - +-------+ - | | -GetSize() +-------+ - -if(m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK): - - 0 +-------+ - | | - | | - | | - +-------+ - | Alloc | 1st[m_1stNullItemsBeginCount] - +-------+ - | Alloc | 1st[m_1stNullItemsBeginCount + 1] - +-------+ - | ... | - +-------+ - | Alloc | 1st[1st.size() - 1] - +-------+ - | | - | | - | | - +-------+ - | Alloc | 2nd[2nd.size() - 1] - +-------+ - | ... | - +-------+ - | Alloc | 2nd[1] - +-------+ - | Alloc | 2nd[0] -GetSize() +-------+ - -*/ -class VmaBlockMetadata_Linear : public VmaBlockMetadata -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaBlockMetadata_Linear) -public: - VmaBlockMetadata_Linear(const VkAllocationCallbacks* pAllocationCallbacks, - VkDeviceSize bufferImageGranularity, bool isVirtual); - virtual ~VmaBlockMetadata_Linear() = default; - - VkDeviceSize GetSumFreeSize() const override { return m_SumFreeSize; } - bool IsEmpty() const override { return GetAllocationCount() == 0; } - VkDeviceSize GetAllocationOffset(VmaAllocHandle allocHandle) const override { return (VkDeviceSize)allocHandle - 1; } - - void Init(VkDeviceSize size) override; - bool Validate() const override; - size_t GetAllocationCount() const override; - size_t GetFreeRegionsCount() const override; - - void AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const override; - void AddStatistics(VmaStatistics& inoutStats) const override; - -#if VMA_STATS_STRING_ENABLED - void PrintDetailedMap(class VmaJsonWriter& json) const override; -#endif - - bool CreateAllocationRequest( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - bool upperAddress, - VmaSuballocationType allocType, - uint32_t strategy, - VmaAllocationRequest* pAllocationRequest) override; - - VkResult CheckCorruption(const void* pBlockData) override; - - void Alloc( - const VmaAllocationRequest& request, - VmaSuballocationType type, - void* userData) override; - - void Free(VmaAllocHandle allocHandle) override; - void GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) override; - void* GetAllocationUserData(VmaAllocHandle allocHandle) const override; - VmaAllocHandle GetAllocationListBegin() const override; - VmaAllocHandle GetNextAllocation(VmaAllocHandle prevAlloc) const override; - VkDeviceSize GetNextFreeRegionSize(VmaAllocHandle alloc) const override; - void Clear() override; - void SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) override; - void DebugLogAllAllocations() const override; - -private: - /* - There are two suballocation vectors, used in ping-pong way. - The one with index m_1stVectorIndex is called 1st. - The one with index (m_1stVectorIndex ^ 1) is called 2nd. - 2nd can be non-empty only when 1st is not empty. - When 2nd is not empty, m_2ndVectorMode indicates its mode of operation. - */ - typedef VmaVector> SuballocationVectorType; - - enum SECOND_VECTOR_MODE - { - SECOND_VECTOR_EMPTY, - /* - Suballocations in 2nd vector are created later than the ones in 1st, but they - all have smaller offset. - */ - SECOND_VECTOR_RING_BUFFER, - /* - Suballocations in 2nd vector are upper side of double stack. - They all have offsets higher than those in 1st vector. - Top of this stack means smaller offsets, but higher indices in this vector. - */ - SECOND_VECTOR_DOUBLE_STACK, - }; - - VkDeviceSize m_SumFreeSize; - SuballocationVectorType m_Suballocations0, m_Suballocations1; - uint32_t m_1stVectorIndex; - SECOND_VECTOR_MODE m_2ndVectorMode; - // Number of items in 1st vector with hAllocation = null at the beginning. - size_t m_1stNullItemsBeginCount; - // Number of other items in 1st vector with hAllocation = null somewhere in the middle. - size_t m_1stNullItemsMiddleCount; - // Number of items in 2nd vector with hAllocation = null. - size_t m_2ndNullItemsCount; - - SuballocationVectorType& AccessSuballocations1st() { return m_1stVectorIndex ? m_Suballocations1 : m_Suballocations0; } - SuballocationVectorType& AccessSuballocations2nd() { return m_1stVectorIndex ? m_Suballocations0 : m_Suballocations1; } - const SuballocationVectorType& AccessSuballocations1st() const { return m_1stVectorIndex ? m_Suballocations1 : m_Suballocations0; } - const SuballocationVectorType& AccessSuballocations2nd() const { return m_1stVectorIndex ? m_Suballocations0 : m_Suballocations1; } - - VmaSuballocation& FindSuballocation(VkDeviceSize offset) const; - bool ShouldCompact1st() const; - void CleanupAfterFree(); - - bool CreateAllocationRequest_LowerAddress( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - VmaSuballocationType allocType, - uint32_t strategy, - VmaAllocationRequest* pAllocationRequest); - bool CreateAllocationRequest_UpperAddress( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - VmaSuballocationType allocType, - uint32_t strategy, - VmaAllocationRequest* pAllocationRequest); -}; - -#ifndef _VMA_BLOCK_METADATA_LINEAR_FUNCTIONS -VmaBlockMetadata_Linear::VmaBlockMetadata_Linear(const VkAllocationCallbacks* pAllocationCallbacks, - VkDeviceSize bufferImageGranularity, bool isVirtual) - : VmaBlockMetadata(pAllocationCallbacks, bufferImageGranularity, isVirtual), - m_SumFreeSize(0), - m_Suballocations0(VmaStlAllocator(pAllocationCallbacks)), - m_Suballocations1(VmaStlAllocator(pAllocationCallbacks)), - m_1stVectorIndex(0), - m_2ndVectorMode(SECOND_VECTOR_EMPTY), - m_1stNullItemsBeginCount(0), - m_1stNullItemsMiddleCount(0), - m_2ndNullItemsCount(0) {} - -void VmaBlockMetadata_Linear::Init(VkDeviceSize size) -{ - VmaBlockMetadata::Init(size); - m_SumFreeSize = size; -} - -bool VmaBlockMetadata_Linear::Validate() const -{ - const SuballocationVectorType& suballocations1st = AccessSuballocations1st(); - const SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); - - VMA_VALIDATE(suballocations2nd.empty() == (m_2ndVectorMode == SECOND_VECTOR_EMPTY)); - VMA_VALIDATE(!suballocations1st.empty() || - suballocations2nd.empty() || - m_2ndVectorMode != SECOND_VECTOR_RING_BUFFER); - - if (!suballocations1st.empty()) - { - // Null item at the beginning should be accounted into m_1stNullItemsBeginCount. - VMA_VALIDATE(suballocations1st[m_1stNullItemsBeginCount].type != VMA_SUBALLOCATION_TYPE_FREE); - // Null item at the end should be just pop_back(). - VMA_VALIDATE(suballocations1st.back().type != VMA_SUBALLOCATION_TYPE_FREE); - } - if (!suballocations2nd.empty()) - { - // Null item at the end should be just pop_back(). - VMA_VALIDATE(suballocations2nd.back().type != VMA_SUBALLOCATION_TYPE_FREE); - } - - VMA_VALIDATE(m_1stNullItemsBeginCount + m_1stNullItemsMiddleCount <= suballocations1st.size()); - VMA_VALIDATE(m_2ndNullItemsCount <= suballocations2nd.size()); - - VkDeviceSize sumUsedSize = 0; - const size_t suballoc1stCount = suballocations1st.size(); - const VkDeviceSize debugMargin = GetDebugMargin(); - VkDeviceSize offset = 0; - - if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) - { - const size_t suballoc2ndCount = suballocations2nd.size(); - size_t nullItem2ndCount = 0; - for (size_t i = 0; i < suballoc2ndCount; ++i) - { - const VmaSuballocation& suballoc = suballocations2nd[i]; - const bool currFree = (suballoc.type == VMA_SUBALLOCATION_TYPE_FREE); - - VmaAllocation const alloc = (VmaAllocation)suballoc.userData; - if (!IsVirtual()) - { - VMA_VALIDATE(currFree == (alloc == VK_NULL_HANDLE)); - } - VMA_VALIDATE(suballoc.offset >= offset); - - if (!currFree) - { - if (!IsVirtual()) - { - VMA_VALIDATE((VkDeviceSize)alloc->GetAllocHandle() == suballoc.offset + 1); - VMA_VALIDATE(alloc->GetSize() == suballoc.size); - } - sumUsedSize += suballoc.size; - } - else - { - ++nullItem2ndCount; - } - - offset = suballoc.offset + suballoc.size + debugMargin; - } - - VMA_VALIDATE(nullItem2ndCount == m_2ndNullItemsCount); - } - - for (size_t i = 0; i < m_1stNullItemsBeginCount; ++i) - { - const VmaSuballocation& suballoc = suballocations1st[i]; - VMA_VALIDATE(suballoc.type == VMA_SUBALLOCATION_TYPE_FREE && - suballoc.userData == VMA_NULL); - } - - size_t nullItem1stCount = m_1stNullItemsBeginCount; - - for (size_t i = m_1stNullItemsBeginCount; i < suballoc1stCount; ++i) - { - const VmaSuballocation& suballoc = suballocations1st[i]; - const bool currFree = (suballoc.type == VMA_SUBALLOCATION_TYPE_FREE); - - VmaAllocation const alloc = (VmaAllocation)suballoc.userData; - if (!IsVirtual()) - { - VMA_VALIDATE(currFree == (alloc == VK_NULL_HANDLE)); - } - VMA_VALIDATE(suballoc.offset >= offset); - VMA_VALIDATE(i >= m_1stNullItemsBeginCount || currFree); - - if (!currFree) - { - if (!IsVirtual()) - { - VMA_VALIDATE((VkDeviceSize)alloc->GetAllocHandle() == suballoc.offset + 1); - VMA_VALIDATE(alloc->GetSize() == suballoc.size); - } - sumUsedSize += suballoc.size; - } - else - { - ++nullItem1stCount; - } - - offset = suballoc.offset + suballoc.size + debugMargin; - } - VMA_VALIDATE(nullItem1stCount == m_1stNullItemsBeginCount + m_1stNullItemsMiddleCount); - - if (m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) - { - const size_t suballoc2ndCount = suballocations2nd.size(); - size_t nullItem2ndCount = 0; - for (size_t i = suballoc2ndCount; i--; ) - { - const VmaSuballocation& suballoc = suballocations2nd[i]; - const bool currFree = (suballoc.type == VMA_SUBALLOCATION_TYPE_FREE); - - VmaAllocation const alloc = (VmaAllocation)suballoc.userData; - if (!IsVirtual()) - { - VMA_VALIDATE(currFree == (alloc == VK_NULL_HANDLE)); - } - VMA_VALIDATE(suballoc.offset >= offset); - - if (!currFree) - { - if (!IsVirtual()) - { - VMA_VALIDATE((VkDeviceSize)alloc->GetAllocHandle() == suballoc.offset + 1); - VMA_VALIDATE(alloc->GetSize() == suballoc.size); - } - sumUsedSize += suballoc.size; - } - else - { - ++nullItem2ndCount; - } - - offset = suballoc.offset + suballoc.size + debugMargin; - } - - VMA_VALIDATE(nullItem2ndCount == m_2ndNullItemsCount); - } - - VMA_VALIDATE(offset <= GetSize()); - VMA_VALIDATE(m_SumFreeSize == GetSize() - sumUsedSize); - - return true; -} - -size_t VmaBlockMetadata_Linear::GetAllocationCount() const -{ - return AccessSuballocations1st().size() - m_1stNullItemsBeginCount - m_1stNullItemsMiddleCount + - AccessSuballocations2nd().size() - m_2ndNullItemsCount; -} - -size_t VmaBlockMetadata_Linear::GetFreeRegionsCount() const -{ - // Function only used for defragmentation, which is disabled for this algorithm - VMA_ASSERT(0); - return SIZE_MAX; -} - -void VmaBlockMetadata_Linear::AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const -{ - const VkDeviceSize size = GetSize(); - const SuballocationVectorType& suballocations1st = AccessSuballocations1st(); - const SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); - const size_t suballoc1stCount = suballocations1st.size(); - const size_t suballoc2ndCount = suballocations2nd.size(); - - inoutStats.statistics.blockCount++; - inoutStats.statistics.blockBytes += size; - - VkDeviceSize lastOffset = 0; - - if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) - { - const VkDeviceSize freeSpace2ndTo1stEnd = suballocations1st[m_1stNullItemsBeginCount].offset; - size_t nextAlloc2ndIndex = 0; - while (lastOffset < freeSpace2ndTo1stEnd) - { - // Find next non-null allocation or move nextAllocIndex to the end. - while (nextAlloc2ndIndex < suballoc2ndCount && - suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) - { - ++nextAlloc2ndIndex; - } - - // Found non-null allocation. - if (nextAlloc2ndIndex < suballoc2ndCount) - { - const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; - - // 1. Process free space before this allocation. - if (lastOffset < suballoc.offset) - { - // There is free space from lastOffset to suballoc.offset. - const VkDeviceSize unusedRangeSize = suballoc.offset - lastOffset; - VmaAddDetailedStatisticsUnusedRange(inoutStats, unusedRangeSize); - } - - // 2. Process this allocation. - // There is allocation with suballoc.offset, suballoc.size. - VmaAddDetailedStatisticsAllocation(inoutStats, suballoc.size); - - // 3. Prepare for next iteration. - lastOffset = suballoc.offset + suballoc.size; - ++nextAlloc2ndIndex; - } - // We are at the end. - else - { - // There is free space from lastOffset to freeSpace2ndTo1stEnd. - if (lastOffset < freeSpace2ndTo1stEnd) - { - const VkDeviceSize unusedRangeSize = freeSpace2ndTo1stEnd - lastOffset; - VmaAddDetailedStatisticsUnusedRange(inoutStats, unusedRangeSize); - } - - // End of loop. - lastOffset = freeSpace2ndTo1stEnd; - } - } - } - - size_t nextAlloc1stIndex = m_1stNullItemsBeginCount; - const VkDeviceSize freeSpace1stTo2ndEnd = - m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK ? suballocations2nd.back().offset : size; - while (lastOffset < freeSpace1stTo2ndEnd) - { - // Find next non-null allocation or move nextAllocIndex to the end. - while (nextAlloc1stIndex < suballoc1stCount && - suballocations1st[nextAlloc1stIndex].userData == VMA_NULL) - { - ++nextAlloc1stIndex; - } - - // Found non-null allocation. - if (nextAlloc1stIndex < suballoc1stCount) - { - const VmaSuballocation& suballoc = suballocations1st[nextAlloc1stIndex]; - - // 1. Process free space before this allocation. - if (lastOffset < suballoc.offset) - { - // There is free space from lastOffset to suballoc.offset. - const VkDeviceSize unusedRangeSize = suballoc.offset - lastOffset; - VmaAddDetailedStatisticsUnusedRange(inoutStats, unusedRangeSize); - } - - // 2. Process this allocation. - // There is allocation with suballoc.offset, suballoc.size. - VmaAddDetailedStatisticsAllocation(inoutStats, suballoc.size); - - // 3. Prepare for next iteration. - lastOffset = suballoc.offset + suballoc.size; - ++nextAlloc1stIndex; - } - // We are at the end. - else - { - // There is free space from lastOffset to freeSpace1stTo2ndEnd. - if (lastOffset < freeSpace1stTo2ndEnd) - { - const VkDeviceSize unusedRangeSize = freeSpace1stTo2ndEnd - lastOffset; - VmaAddDetailedStatisticsUnusedRange(inoutStats, unusedRangeSize); - } - - // End of loop. - lastOffset = freeSpace1stTo2ndEnd; - } - } - - if (m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) - { - size_t nextAlloc2ndIndex = suballocations2nd.size() - 1; - while (lastOffset < size) - { - // Find next non-null allocation or move nextAllocIndex to the end. - while (nextAlloc2ndIndex != SIZE_MAX && - suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) - { - --nextAlloc2ndIndex; - } - - // Found non-null allocation. - if (nextAlloc2ndIndex != SIZE_MAX) - { - const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; - - // 1. Process free space before this allocation. - if (lastOffset < suballoc.offset) - { - // There is free space from lastOffset to suballoc.offset. - const VkDeviceSize unusedRangeSize = suballoc.offset - lastOffset; - VmaAddDetailedStatisticsUnusedRange(inoutStats, unusedRangeSize); - } - - // 2. Process this allocation. - // There is allocation with suballoc.offset, suballoc.size. - VmaAddDetailedStatisticsAllocation(inoutStats, suballoc.size); - - // 3. Prepare for next iteration. - lastOffset = suballoc.offset + suballoc.size; - --nextAlloc2ndIndex; - } - // We are at the end. - else - { - // There is free space from lastOffset to size. - if (lastOffset < size) - { - const VkDeviceSize unusedRangeSize = size - lastOffset; - VmaAddDetailedStatisticsUnusedRange(inoutStats, unusedRangeSize); - } - - // End of loop. - lastOffset = size; - } - } - } -} - -void VmaBlockMetadata_Linear::AddStatistics(VmaStatistics& inoutStats) const -{ - const SuballocationVectorType& suballocations1st = AccessSuballocations1st(); - const SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); - const VkDeviceSize size = GetSize(); - const size_t suballoc1stCount = suballocations1st.size(); - const size_t suballoc2ndCount = suballocations2nd.size(); - - inoutStats.blockCount++; - inoutStats.blockBytes += size; - inoutStats.allocationBytes += size - m_SumFreeSize; - - VkDeviceSize lastOffset = 0; - - if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) - { - const VkDeviceSize freeSpace2ndTo1stEnd = suballocations1st[m_1stNullItemsBeginCount].offset; - size_t nextAlloc2ndIndex = m_1stNullItemsBeginCount; - while (lastOffset < freeSpace2ndTo1stEnd) - { - // Find next non-null allocation or move nextAlloc2ndIndex to the end. - while (nextAlloc2ndIndex < suballoc2ndCount && - suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) - { - ++nextAlloc2ndIndex; - } - - // Found non-null allocation. - if (nextAlloc2ndIndex < suballoc2ndCount) - { - const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; - - // Process this allocation. - // There is allocation with suballoc.offset, suballoc.size. - ++inoutStats.allocationCount; - - // Prepare for next iteration. - lastOffset = suballoc.offset + suballoc.size; - ++nextAlloc2ndIndex; - } - // We are at the end. - else - { - // End of loop. - lastOffset = freeSpace2ndTo1stEnd; - } - } - } - - size_t nextAlloc1stIndex = m_1stNullItemsBeginCount; - const VkDeviceSize freeSpace1stTo2ndEnd = - m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK ? suballocations2nd.back().offset : size; - while (lastOffset < freeSpace1stTo2ndEnd) - { - // Find next non-null allocation or move nextAllocIndex to the end. - while (nextAlloc1stIndex < suballoc1stCount && - suballocations1st[nextAlloc1stIndex].userData == VMA_NULL) - { - ++nextAlloc1stIndex; - } - - // Found non-null allocation. - if (nextAlloc1stIndex < suballoc1stCount) - { - const VmaSuballocation& suballoc = suballocations1st[nextAlloc1stIndex]; - - // Process this allocation. - // There is allocation with suballoc.offset, suballoc.size. - ++inoutStats.allocationCount; - - // Prepare for next iteration. - lastOffset = suballoc.offset + suballoc.size; - ++nextAlloc1stIndex; - } - // We are at the end. - else - { - // End of loop. - lastOffset = freeSpace1stTo2ndEnd; - } - } - - if (m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) - { - size_t nextAlloc2ndIndex = suballocations2nd.size() - 1; - while (lastOffset < size) - { - // Find next non-null allocation or move nextAlloc2ndIndex to the end. - while (nextAlloc2ndIndex != SIZE_MAX && - suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) - { - --nextAlloc2ndIndex; - } - - // Found non-null allocation. - if (nextAlloc2ndIndex != SIZE_MAX) - { - const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; - - // Process this allocation. - // There is allocation with suballoc.offset, suballoc.size. - ++inoutStats.allocationCount; - - // Prepare for next iteration. - lastOffset = suballoc.offset + suballoc.size; - --nextAlloc2ndIndex; - } - // We are at the end. - else - { - // End of loop. - lastOffset = size; - } - } - } -} - -#if VMA_STATS_STRING_ENABLED -void VmaBlockMetadata_Linear::PrintDetailedMap(class VmaJsonWriter& json) const -{ - const VkDeviceSize size = GetSize(); - const SuballocationVectorType& suballocations1st = AccessSuballocations1st(); - const SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); - const size_t suballoc1stCount = suballocations1st.size(); - const size_t suballoc2ndCount = suballocations2nd.size(); - - // FIRST PASS - - size_t unusedRangeCount = 0; - VkDeviceSize usedBytes = 0; - - VkDeviceSize lastOffset = 0; - - size_t alloc2ndCount = 0; - if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) - { - const VkDeviceSize freeSpace2ndTo1stEnd = suballocations1st[m_1stNullItemsBeginCount].offset; - size_t nextAlloc2ndIndex = 0; - while (lastOffset < freeSpace2ndTo1stEnd) - { - // Find next non-null allocation or move nextAlloc2ndIndex to the end. - while (nextAlloc2ndIndex < suballoc2ndCount && - suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) - { - ++nextAlloc2ndIndex; - } - - // Found non-null allocation. - if (nextAlloc2ndIndex < suballoc2ndCount) - { - const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; - - // 1. Process free space before this allocation. - if (lastOffset < suballoc.offset) - { - // There is free space from lastOffset to suballoc.offset. - ++unusedRangeCount; - } - - // 2. Process this allocation. - // There is allocation with suballoc.offset, suballoc.size. - ++alloc2ndCount; - usedBytes += suballoc.size; - - // 3. Prepare for next iteration. - lastOffset = suballoc.offset + suballoc.size; - ++nextAlloc2ndIndex; - } - // We are at the end. - else - { - if (lastOffset < freeSpace2ndTo1stEnd) - { - // There is free space from lastOffset to freeSpace2ndTo1stEnd. - ++unusedRangeCount; - } - - // End of loop. - lastOffset = freeSpace2ndTo1stEnd; - } - } - } - - size_t nextAlloc1stIndex = m_1stNullItemsBeginCount; - size_t alloc1stCount = 0; - const VkDeviceSize freeSpace1stTo2ndEnd = - m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK ? suballocations2nd.back().offset : size; - while (lastOffset < freeSpace1stTo2ndEnd) - { - // Find next non-null allocation or move nextAllocIndex to the end. - while (nextAlloc1stIndex < suballoc1stCount && - suballocations1st[nextAlloc1stIndex].userData == VMA_NULL) - { - ++nextAlloc1stIndex; - } - - // Found non-null allocation. - if (nextAlloc1stIndex < suballoc1stCount) - { - const VmaSuballocation& suballoc = suballocations1st[nextAlloc1stIndex]; - - // 1. Process free space before this allocation. - if (lastOffset < suballoc.offset) - { - // There is free space from lastOffset to suballoc.offset. - ++unusedRangeCount; - } - - // 2. Process this allocation. - // There is allocation with suballoc.offset, suballoc.size. - ++alloc1stCount; - usedBytes += suballoc.size; - - // 3. Prepare for next iteration. - lastOffset = suballoc.offset + suballoc.size; - ++nextAlloc1stIndex; - } - // We are at the end. - else - { - if (lastOffset < size) - { - // There is free space from lastOffset to freeSpace1stTo2ndEnd. - ++unusedRangeCount; - } - - // End of loop. - lastOffset = freeSpace1stTo2ndEnd; - } - } - - if (m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) - { - size_t nextAlloc2ndIndex = suballocations2nd.size() - 1; - while (lastOffset < size) - { - // Find next non-null allocation or move nextAlloc2ndIndex to the end. - while (nextAlloc2ndIndex != SIZE_MAX && - suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) - { - --nextAlloc2ndIndex; - } - - // Found non-null allocation. - if (nextAlloc2ndIndex != SIZE_MAX) - { - const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; - - // 1. Process free space before this allocation. - if (lastOffset < suballoc.offset) - { - // There is free space from lastOffset to suballoc.offset. - ++unusedRangeCount; - } - - // 2. Process this allocation. - // There is allocation with suballoc.offset, suballoc.size. - ++alloc2ndCount; - usedBytes += suballoc.size; - - // 3. Prepare for next iteration. - lastOffset = suballoc.offset + suballoc.size; - --nextAlloc2ndIndex; - } - // We are at the end. - else - { - if (lastOffset < size) - { - // There is free space from lastOffset to size. - ++unusedRangeCount; - } - - // End of loop. - lastOffset = size; - } - } - } - - const VkDeviceSize unusedBytes = size - usedBytes; - PrintDetailedMap_Begin(json, unusedBytes, alloc1stCount + alloc2ndCount, unusedRangeCount); - - // SECOND PASS - lastOffset = 0; - - if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) - { - const VkDeviceSize freeSpace2ndTo1stEnd = suballocations1st[m_1stNullItemsBeginCount].offset; - size_t nextAlloc2ndIndex = 0; - while (lastOffset < freeSpace2ndTo1stEnd) - { - // Find next non-null allocation or move nextAlloc2ndIndex to the end. - while (nextAlloc2ndIndex < suballoc2ndCount && - suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) - { - ++nextAlloc2ndIndex; - } - - // Found non-null allocation. - if (nextAlloc2ndIndex < suballoc2ndCount) - { - const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; - - // 1. Process free space before this allocation. - if (lastOffset < suballoc.offset) - { - // There is free space from lastOffset to suballoc.offset. - const VkDeviceSize unusedRangeSize = suballoc.offset - lastOffset; - PrintDetailedMap_UnusedRange(json, lastOffset, unusedRangeSize); - } - - // 2. Process this allocation. - // There is allocation with suballoc.offset, suballoc.size. - PrintDetailedMap_Allocation(json, suballoc.offset, suballoc.size, suballoc.userData); - - // 3. Prepare for next iteration. - lastOffset = suballoc.offset + suballoc.size; - ++nextAlloc2ndIndex; - } - // We are at the end. - else - { - if (lastOffset < freeSpace2ndTo1stEnd) - { - // There is free space from lastOffset to freeSpace2ndTo1stEnd. - const VkDeviceSize unusedRangeSize = freeSpace2ndTo1stEnd - lastOffset; - PrintDetailedMap_UnusedRange(json, lastOffset, unusedRangeSize); - } - - // End of loop. - lastOffset = freeSpace2ndTo1stEnd; - } - } - } - - nextAlloc1stIndex = m_1stNullItemsBeginCount; - while (lastOffset < freeSpace1stTo2ndEnd) - { - // Find next non-null allocation or move nextAllocIndex to the end. - while (nextAlloc1stIndex < suballoc1stCount && - suballocations1st[nextAlloc1stIndex].userData == VMA_NULL) - { - ++nextAlloc1stIndex; - } - - // Found non-null allocation. - if (nextAlloc1stIndex < suballoc1stCount) - { - const VmaSuballocation& suballoc = suballocations1st[nextAlloc1stIndex]; - - // 1. Process free space before this allocation. - if (lastOffset < suballoc.offset) - { - // There is free space from lastOffset to suballoc.offset. - const VkDeviceSize unusedRangeSize = suballoc.offset - lastOffset; - PrintDetailedMap_UnusedRange(json, lastOffset, unusedRangeSize); - } - - // 2. Process this allocation. - // There is allocation with suballoc.offset, suballoc.size. - PrintDetailedMap_Allocation(json, suballoc.offset, suballoc.size, suballoc.userData); - - // 3. Prepare for next iteration. - lastOffset = suballoc.offset + suballoc.size; - ++nextAlloc1stIndex; - } - // We are at the end. - else - { - if (lastOffset < freeSpace1stTo2ndEnd) - { - // There is free space from lastOffset to freeSpace1stTo2ndEnd. - const VkDeviceSize unusedRangeSize = freeSpace1stTo2ndEnd - lastOffset; - PrintDetailedMap_UnusedRange(json, lastOffset, unusedRangeSize); - } - - // End of loop. - lastOffset = freeSpace1stTo2ndEnd; - } - } - - if (m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) - { - size_t nextAlloc2ndIndex = suballocations2nd.size() - 1; - while (lastOffset < size) - { - // Find next non-null allocation or move nextAlloc2ndIndex to the end. - while (nextAlloc2ndIndex != SIZE_MAX && - suballocations2nd[nextAlloc2ndIndex].userData == VMA_NULL) - { - --nextAlloc2ndIndex; - } - - // Found non-null allocation. - if (nextAlloc2ndIndex != SIZE_MAX) - { - const VmaSuballocation& suballoc = suballocations2nd[nextAlloc2ndIndex]; - - // 1. Process free space before this allocation. - if (lastOffset < suballoc.offset) - { - // There is free space from lastOffset to suballoc.offset. - const VkDeviceSize unusedRangeSize = suballoc.offset - lastOffset; - PrintDetailedMap_UnusedRange(json, lastOffset, unusedRangeSize); - } - - // 2. Process this allocation. - // There is allocation with suballoc.offset, suballoc.size. - PrintDetailedMap_Allocation(json, suballoc.offset, suballoc.size, suballoc.userData); - - // 3. Prepare for next iteration. - lastOffset = suballoc.offset + suballoc.size; - --nextAlloc2ndIndex; - } - // We are at the end. - else - { - if (lastOffset < size) - { - // There is free space from lastOffset to size. - const VkDeviceSize unusedRangeSize = size - lastOffset; - PrintDetailedMap_UnusedRange(json, lastOffset, unusedRangeSize); - } - - // End of loop. - lastOffset = size; - } - } - } - - PrintDetailedMap_End(json); -} -#endif // VMA_STATS_STRING_ENABLED - -bool VmaBlockMetadata_Linear::CreateAllocationRequest( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - bool upperAddress, - VmaSuballocationType allocType, - uint32_t strategy, - VmaAllocationRequest* pAllocationRequest) -{ - VMA_ASSERT(allocSize > 0); - VMA_ASSERT(allocType != VMA_SUBALLOCATION_TYPE_FREE); - VMA_ASSERT(pAllocationRequest != VMA_NULL); - VMA_HEAVY_ASSERT(Validate()); - pAllocationRequest->size = allocSize; - return upperAddress ? - CreateAllocationRequest_UpperAddress( - allocSize, allocAlignment, allocType, strategy, pAllocationRequest) : - CreateAllocationRequest_LowerAddress( - allocSize, allocAlignment, allocType, strategy, pAllocationRequest); -} - -VkResult VmaBlockMetadata_Linear::CheckCorruption(const void* pBlockData) -{ - VMA_ASSERT(!IsVirtual()); - SuballocationVectorType& suballocations1st = AccessSuballocations1st(); - for (size_t i = m_1stNullItemsBeginCount, count = suballocations1st.size(); i < count; ++i) - { - const VmaSuballocation& suballoc = suballocations1st[i]; - if (suballoc.type != VMA_SUBALLOCATION_TYPE_FREE) - { - if (!VmaValidateMagicValue(pBlockData, suballoc.offset + suballoc.size)) - { - VMA_ASSERT(0 && "MEMORY CORRUPTION DETECTED AFTER VALIDATED ALLOCATION!"); - return VK_ERROR_UNKNOWN_COPY; - } - } - } - - SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); - for (size_t i = 0, count = suballocations2nd.size(); i < count; ++i) - { - const VmaSuballocation& suballoc = suballocations2nd[i]; - if (suballoc.type != VMA_SUBALLOCATION_TYPE_FREE) - { - if (!VmaValidateMagicValue(pBlockData, suballoc.offset + suballoc.size)) - { - VMA_ASSERT(0 && "MEMORY CORRUPTION DETECTED AFTER VALIDATED ALLOCATION!"); - return VK_ERROR_UNKNOWN_COPY; - } - } - } - - return VK_SUCCESS; -} - -void VmaBlockMetadata_Linear::Alloc( - const VmaAllocationRequest& request, - VmaSuballocationType type, - void* userData) -{ - const VkDeviceSize offset = (VkDeviceSize)request.allocHandle - 1; - const VmaSuballocation newSuballoc = { offset, request.size, userData, type }; - - switch (request.type) - { - case VmaAllocationRequestType::UpperAddress: - { - VMA_ASSERT(m_2ndVectorMode != SECOND_VECTOR_RING_BUFFER && - "CRITICAL ERROR: Trying to use linear allocator as double stack while it was already used as ring buffer."); - SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); - suballocations2nd.push_back(newSuballoc); - m_2ndVectorMode = SECOND_VECTOR_DOUBLE_STACK; - } - break; - case VmaAllocationRequestType::EndOf1st: - { - SuballocationVectorType& suballocations1st = AccessSuballocations1st(); - - VMA_ASSERT(suballocations1st.empty() || - offset >= suballocations1st.back().offset + suballocations1st.back().size); - // Check if it fits before the end of the block. - VMA_ASSERT(offset + request.size <= GetSize()); - - suballocations1st.push_back(newSuballoc); - } - break; - case VmaAllocationRequestType::EndOf2nd: - { - SuballocationVectorType& suballocations1st = AccessSuballocations1st(); - // New allocation at the end of 2-part ring buffer, so before first allocation from 1st vector. - VMA_ASSERT(!suballocations1st.empty() && - offset + request.size <= suballocations1st[m_1stNullItemsBeginCount].offset); - SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); - - switch (m_2ndVectorMode) - { - case SECOND_VECTOR_EMPTY: - // First allocation from second part ring buffer. - VMA_ASSERT(suballocations2nd.empty()); - m_2ndVectorMode = SECOND_VECTOR_RING_BUFFER; - break; - case SECOND_VECTOR_RING_BUFFER: - // 2-part ring buffer is already started. - VMA_ASSERT(!suballocations2nd.empty()); - break; - case SECOND_VECTOR_DOUBLE_STACK: - VMA_ASSERT(0 && "CRITICAL ERROR: Trying to use linear allocator as ring buffer while it was already used as double stack."); - break; - default: - VMA_ASSERT(0); - } - - suballocations2nd.push_back(newSuballoc); - } - break; - default: - VMA_ASSERT(0 && "CRITICAL INTERNAL ERROR."); - } - - m_SumFreeSize -= newSuballoc.size; -} - -void VmaBlockMetadata_Linear::Free(VmaAllocHandle allocHandle) -{ - SuballocationVectorType& suballocations1st = AccessSuballocations1st(); - SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); - VkDeviceSize offset = (VkDeviceSize)allocHandle - 1; - - if (!suballocations1st.empty()) - { - // First allocation: Mark it as next empty at the beginning. - VmaSuballocation& firstSuballoc = suballocations1st[m_1stNullItemsBeginCount]; - if (firstSuballoc.offset == offset) - { - firstSuballoc.type = VMA_SUBALLOCATION_TYPE_FREE; - firstSuballoc.userData = VMA_NULL; - m_SumFreeSize += firstSuballoc.size; - ++m_1stNullItemsBeginCount; - CleanupAfterFree(); - return; - } - } - - // Last allocation in 2-part ring buffer or top of upper stack (same logic). - if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER || - m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) - { - VmaSuballocation& lastSuballoc = suballocations2nd.back(); - if (lastSuballoc.offset == offset) - { - m_SumFreeSize += lastSuballoc.size; - suballocations2nd.pop_back(); - CleanupAfterFree(); - return; - } - } - // Last allocation in 1st vector. - else if (m_2ndVectorMode == SECOND_VECTOR_EMPTY) - { - VmaSuballocation& lastSuballoc = suballocations1st.back(); - if (lastSuballoc.offset == offset) - { - m_SumFreeSize += lastSuballoc.size; - suballocations1st.pop_back(); - CleanupAfterFree(); - return; - } - } - - VmaSuballocation refSuballoc; - refSuballoc.offset = offset; - // Rest of members stays uninitialized intentionally for better performance. - - // Item from the middle of 1st vector. - { - const SuballocationVectorType::iterator it = VmaBinaryFindSorted( - suballocations1st.begin() + m_1stNullItemsBeginCount, - suballocations1st.end(), - refSuballoc, - VmaSuballocationOffsetLess()); - if (it != suballocations1st.end()) - { - it->type = VMA_SUBALLOCATION_TYPE_FREE; - it->userData = VMA_NULL; - ++m_1stNullItemsMiddleCount; - m_SumFreeSize += it->size; - CleanupAfterFree(); - return; - } - } - - if (m_2ndVectorMode != SECOND_VECTOR_EMPTY) - { - // Item from the middle of 2nd vector. - const SuballocationVectorType::iterator it = m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER ? - VmaBinaryFindSorted(suballocations2nd.begin(), suballocations2nd.end(), refSuballoc, VmaSuballocationOffsetLess()) : - VmaBinaryFindSorted(suballocations2nd.begin(), suballocations2nd.end(), refSuballoc, VmaSuballocationOffsetGreater()); - if (it != suballocations2nd.end()) - { - it->type = VMA_SUBALLOCATION_TYPE_FREE; - it->userData = VMA_NULL; - ++m_2ndNullItemsCount; - m_SumFreeSize += it->size; - CleanupAfterFree(); - return; - } - } - - VMA_ASSERT(0 && "Allocation to free not found in linear allocator!"); -} - -void VmaBlockMetadata_Linear::GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) -{ - outInfo.offset = (VkDeviceSize)allocHandle - 1; - VmaSuballocation& suballoc = FindSuballocation(outInfo.offset); - outInfo.size = suballoc.size; - outInfo.pUserData = suballoc.userData; -} - -void* VmaBlockMetadata_Linear::GetAllocationUserData(VmaAllocHandle allocHandle) const -{ - return FindSuballocation((VkDeviceSize)allocHandle - 1).userData; -} - -VmaAllocHandle VmaBlockMetadata_Linear::GetAllocationListBegin() const -{ - // Function only used for defragmentation, which is disabled for this algorithm - VMA_ASSERT(0); - return VK_NULL_HANDLE; -} - -VmaAllocHandle VmaBlockMetadata_Linear::GetNextAllocation(VmaAllocHandle prevAlloc) const -{ - // Function only used for defragmentation, which is disabled for this algorithm - VMA_ASSERT(0); - return VK_NULL_HANDLE; -} - -VkDeviceSize VmaBlockMetadata_Linear::GetNextFreeRegionSize(VmaAllocHandle alloc) const -{ - // Function only used for defragmentation, which is disabled for this algorithm - VMA_ASSERT(0); - return 0; -} - -void VmaBlockMetadata_Linear::Clear() -{ - m_SumFreeSize = GetSize(); - m_Suballocations0.clear(); - m_Suballocations1.clear(); - // Leaving m_1stVectorIndex unchanged - it doesn't matter. - m_2ndVectorMode = SECOND_VECTOR_EMPTY; - m_1stNullItemsBeginCount = 0; - m_1stNullItemsMiddleCount = 0; - m_2ndNullItemsCount = 0; -} - -void VmaBlockMetadata_Linear::SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) -{ - VmaSuballocation& suballoc = FindSuballocation((VkDeviceSize)allocHandle - 1); - suballoc.userData = userData; -} - -void VmaBlockMetadata_Linear::DebugLogAllAllocations() const -{ - const SuballocationVectorType& suballocations1st = AccessSuballocations1st(); - for (auto it = suballocations1st.begin() + m_1stNullItemsBeginCount; it != suballocations1st.end(); ++it) - if (it->type != VMA_SUBALLOCATION_TYPE_FREE) - DebugLogAllocation(it->offset, it->size, it->userData); - - const SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); - for (auto it = suballocations2nd.begin(); it != suballocations2nd.end(); ++it) - if (it->type != VMA_SUBALLOCATION_TYPE_FREE) - DebugLogAllocation(it->offset, it->size, it->userData); -} - -VmaSuballocation& VmaBlockMetadata_Linear::FindSuballocation(VkDeviceSize offset) const -{ - const SuballocationVectorType& suballocations1st = AccessSuballocations1st(); - const SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); - - VmaSuballocation refSuballoc; - refSuballoc.offset = offset; - // Rest of members stays uninitialized intentionally for better performance. - - // Item from the 1st vector. - { - SuballocationVectorType::const_iterator it = VmaBinaryFindSorted( - suballocations1st.begin() + m_1stNullItemsBeginCount, - suballocations1st.end(), - refSuballoc, - VmaSuballocationOffsetLess()); - if (it != suballocations1st.end()) - { - return const_cast(*it); - } - } - - if (m_2ndVectorMode != SECOND_VECTOR_EMPTY) - { - // Rest of members stays uninitialized intentionally for better performance. - SuballocationVectorType::const_iterator it = m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER ? - VmaBinaryFindSorted(suballocations2nd.begin(), suballocations2nd.end(), refSuballoc, VmaSuballocationOffsetLess()) : - VmaBinaryFindSorted(suballocations2nd.begin(), suballocations2nd.end(), refSuballoc, VmaSuballocationOffsetGreater()); - if (it != suballocations2nd.end()) - { - return const_cast(*it); - } - } - - VMA_ASSERT(0 && "Allocation not found in linear allocator!"); - return const_cast(suballocations1st.back()); // Should never occur. -} - -bool VmaBlockMetadata_Linear::ShouldCompact1st() const -{ - const size_t nullItemCount = m_1stNullItemsBeginCount + m_1stNullItemsMiddleCount; - const size_t suballocCount = AccessSuballocations1st().size(); - return suballocCount > 32 && nullItemCount * 2 >= (suballocCount - nullItemCount) * 3; -} - -void VmaBlockMetadata_Linear::CleanupAfterFree() -{ - SuballocationVectorType& suballocations1st = AccessSuballocations1st(); - SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); - - if (IsEmpty()) - { - suballocations1st.clear(); - suballocations2nd.clear(); - m_1stNullItemsBeginCount = 0; - m_1stNullItemsMiddleCount = 0; - m_2ndNullItemsCount = 0; - m_2ndVectorMode = SECOND_VECTOR_EMPTY; - } - else - { - const size_t suballoc1stCount = suballocations1st.size(); - const size_t nullItem1stCount = m_1stNullItemsBeginCount + m_1stNullItemsMiddleCount; - VMA_ASSERT(nullItem1stCount <= suballoc1stCount); - - // Find more null items at the beginning of 1st vector. - while (m_1stNullItemsBeginCount < suballoc1stCount && - suballocations1st[m_1stNullItemsBeginCount].type == VMA_SUBALLOCATION_TYPE_FREE) - { - ++m_1stNullItemsBeginCount; - --m_1stNullItemsMiddleCount; - } - - // Find more null items at the end of 1st vector. - while (m_1stNullItemsMiddleCount > 0 && - suballocations1st.back().type == VMA_SUBALLOCATION_TYPE_FREE) - { - --m_1stNullItemsMiddleCount; - suballocations1st.pop_back(); - } - - // Find more null items at the end of 2nd vector. - while (m_2ndNullItemsCount > 0 && - suballocations2nd.back().type == VMA_SUBALLOCATION_TYPE_FREE) - { - --m_2ndNullItemsCount; - suballocations2nd.pop_back(); - } - - // Find more null items at the beginning of 2nd vector. - while (m_2ndNullItemsCount > 0 && - suballocations2nd[0].type == VMA_SUBALLOCATION_TYPE_FREE) - { - --m_2ndNullItemsCount; - VmaVectorRemove(suballocations2nd, 0); - } - - if (ShouldCompact1st()) - { - const size_t nonNullItemCount = suballoc1stCount - nullItem1stCount; - size_t srcIndex = m_1stNullItemsBeginCount; - for (size_t dstIndex = 0; dstIndex < nonNullItemCount; ++dstIndex) - { - while (suballocations1st[srcIndex].type == VMA_SUBALLOCATION_TYPE_FREE) - { - ++srcIndex; - } - if (dstIndex != srcIndex) - { - suballocations1st[dstIndex] = suballocations1st[srcIndex]; - } - ++srcIndex; - } - suballocations1st.resize(nonNullItemCount); - m_1stNullItemsBeginCount = 0; - m_1stNullItemsMiddleCount = 0; - } - - // 2nd vector became empty. - if (suballocations2nd.empty()) - { - m_2ndVectorMode = SECOND_VECTOR_EMPTY; - } - - // 1st vector became empty. - if (suballocations1st.size() - m_1stNullItemsBeginCount == 0) - { - suballocations1st.clear(); - m_1stNullItemsBeginCount = 0; - - if (!suballocations2nd.empty() && m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) - { - // Swap 1st with 2nd. Now 2nd is empty. - m_2ndVectorMode = SECOND_VECTOR_EMPTY; - m_1stNullItemsMiddleCount = m_2ndNullItemsCount; - while (m_1stNullItemsBeginCount < suballocations2nd.size() && - suballocations2nd[m_1stNullItemsBeginCount].type == VMA_SUBALLOCATION_TYPE_FREE) - { - ++m_1stNullItemsBeginCount; - --m_1stNullItemsMiddleCount; - } - m_2ndNullItemsCount = 0; - m_1stVectorIndex ^= 1; - } - } - } - - VMA_HEAVY_ASSERT(Validate()); -} - -bool VmaBlockMetadata_Linear::CreateAllocationRequest_LowerAddress( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - VmaSuballocationType allocType, - uint32_t strategy, - VmaAllocationRequest* pAllocationRequest) -{ - const VkDeviceSize blockSize = GetSize(); - const VkDeviceSize debugMargin = GetDebugMargin(); - const VkDeviceSize bufferImageGranularity = GetBufferImageGranularity(); - SuballocationVectorType& suballocations1st = AccessSuballocations1st(); - SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); - - if (m_2ndVectorMode == SECOND_VECTOR_EMPTY || m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) - { - // Try to allocate at the end of 1st vector. - - VkDeviceSize resultBaseOffset = 0; - if (!suballocations1st.empty()) - { - const VmaSuballocation& lastSuballoc = suballocations1st.back(); - resultBaseOffset = lastSuballoc.offset + lastSuballoc.size + debugMargin; - } - - // Start from offset equal to beginning of free space. - VkDeviceSize resultOffset = resultBaseOffset; - - // Apply alignment. - resultOffset = VmaAlignUp(resultOffset, allocAlignment); - - // Check previous suballocations for BufferImageGranularity conflicts. - // Make bigger alignment if necessary. - if (bufferImageGranularity > 1 && bufferImageGranularity != allocAlignment && !suballocations1st.empty()) - { - bool bufferImageGranularityConflict = false; - for (size_t prevSuballocIndex = suballocations1st.size(); prevSuballocIndex--; ) - { - const VmaSuballocation& prevSuballoc = suballocations1st[prevSuballocIndex]; - if (VmaBlocksOnSamePage(prevSuballoc.offset, prevSuballoc.size, resultOffset, bufferImageGranularity)) - { - if (VmaIsBufferImageGranularityConflict(prevSuballoc.type, allocType)) - { - bufferImageGranularityConflict = true; - break; - } - } - else - // Already on previous page. - break; - } - if (bufferImageGranularityConflict) - { - resultOffset = VmaAlignUp(resultOffset, bufferImageGranularity); - } - } - - const VkDeviceSize freeSpaceEnd = m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK ? - suballocations2nd.back().offset : blockSize; - - // There is enough free space at the end after alignment. - if (resultOffset + allocSize + debugMargin <= freeSpaceEnd) - { - // Check next suballocations for BufferImageGranularity conflicts. - // If conflict exists, allocation cannot be made here. - if ((allocSize % bufferImageGranularity || resultOffset % bufferImageGranularity) && m_2ndVectorMode == SECOND_VECTOR_DOUBLE_STACK) - { - for (size_t nextSuballocIndex = suballocations2nd.size(); nextSuballocIndex--; ) - { - const VmaSuballocation& nextSuballoc = suballocations2nd[nextSuballocIndex]; - if (VmaBlocksOnSamePage(resultOffset, allocSize, nextSuballoc.offset, bufferImageGranularity)) - { - if (VmaIsBufferImageGranularityConflict(allocType, nextSuballoc.type)) - { - return false; - } - } - else - { - // Already on previous page. - break; - } - } - } - - // All tests passed: Success. - pAllocationRequest->allocHandle = (VmaAllocHandle)(resultOffset + 1); - // pAllocationRequest->item, customData unused. - pAllocationRequest->type = VmaAllocationRequestType::EndOf1st; - return true; - } - } - - // Wrap-around to end of 2nd vector. Try to allocate there, watching for the - // beginning of 1st vector as the end of free space. - if (m_2ndVectorMode == SECOND_VECTOR_EMPTY || m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) - { - VMA_ASSERT(!suballocations1st.empty()); - - VkDeviceSize resultBaseOffset = 0; - if (!suballocations2nd.empty()) - { - const VmaSuballocation& lastSuballoc = suballocations2nd.back(); - resultBaseOffset = lastSuballoc.offset + lastSuballoc.size + debugMargin; - } - - // Start from offset equal to beginning of free space. - VkDeviceSize resultOffset = resultBaseOffset; - - // Apply alignment. - resultOffset = VmaAlignUp(resultOffset, allocAlignment); - - // Check previous suballocations for BufferImageGranularity conflicts. - // Make bigger alignment if necessary. - if (bufferImageGranularity > 1 && bufferImageGranularity != allocAlignment && !suballocations2nd.empty()) - { - bool bufferImageGranularityConflict = false; - for (size_t prevSuballocIndex = suballocations2nd.size(); prevSuballocIndex--; ) - { - const VmaSuballocation& prevSuballoc = suballocations2nd[prevSuballocIndex]; - if (VmaBlocksOnSamePage(prevSuballoc.offset, prevSuballoc.size, resultOffset, bufferImageGranularity)) - { - if (VmaIsBufferImageGranularityConflict(prevSuballoc.type, allocType)) - { - bufferImageGranularityConflict = true; - break; - } - } - else - // Already on previous page. - break; - } - if (bufferImageGranularityConflict) - { - resultOffset = VmaAlignUp(resultOffset, bufferImageGranularity); - } - } - - size_t index1st = m_1stNullItemsBeginCount; - - // There is enough free space at the end after alignment. - if ((index1st == suballocations1st.size() && resultOffset + allocSize + debugMargin <= blockSize) || - (index1st < suballocations1st.size() && resultOffset + allocSize + debugMargin <= suballocations1st[index1st].offset)) - { - // Check next suballocations for BufferImageGranularity conflicts. - // If conflict exists, allocation cannot be made here. - if (allocSize % bufferImageGranularity || resultOffset % bufferImageGranularity) - { - for (size_t nextSuballocIndex = index1st; - nextSuballocIndex < suballocations1st.size(); - nextSuballocIndex++) - { - const VmaSuballocation& nextSuballoc = suballocations1st[nextSuballocIndex]; - if (VmaBlocksOnSamePage(resultOffset, allocSize, nextSuballoc.offset, bufferImageGranularity)) - { - if (VmaIsBufferImageGranularityConflict(allocType, nextSuballoc.type)) - { - return false; - } - } - else - { - // Already on next page. - break; - } - } - } - - // All tests passed: Success. - pAllocationRequest->allocHandle = (VmaAllocHandle)(resultOffset + 1); - pAllocationRequest->type = VmaAllocationRequestType::EndOf2nd; - // pAllocationRequest->item, customData unused. - return true; - } - } - - return false; -} - -bool VmaBlockMetadata_Linear::CreateAllocationRequest_UpperAddress( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - VmaSuballocationType allocType, - uint32_t strategy, - VmaAllocationRequest* pAllocationRequest) -{ - const VkDeviceSize blockSize = GetSize(); - const VkDeviceSize bufferImageGranularity = GetBufferImageGranularity(); - SuballocationVectorType& suballocations1st = AccessSuballocations1st(); - SuballocationVectorType& suballocations2nd = AccessSuballocations2nd(); - - if (m_2ndVectorMode == SECOND_VECTOR_RING_BUFFER) - { - VMA_ASSERT(0 && "Trying to use pool with linear algorithm as double stack, while it is already being used as ring buffer."); - return false; - } - - // Try to allocate before 2nd.back(), or end of block if 2nd.empty(). - if (allocSize > blockSize) - { - return false; - } - VkDeviceSize resultBaseOffset = blockSize - allocSize; - if (!suballocations2nd.empty()) - { - const VmaSuballocation& lastSuballoc = suballocations2nd.back(); - resultBaseOffset = lastSuballoc.offset - allocSize; - if (allocSize > lastSuballoc.offset) - { - return false; - } - } - - // Start from offset equal to end of free space. - VkDeviceSize resultOffset = resultBaseOffset; - - const VkDeviceSize debugMargin = GetDebugMargin(); - - // Apply debugMargin at the end. - if (debugMargin > 0) - { - if (resultOffset < debugMargin) - { - return false; - } - resultOffset -= debugMargin; - } - - // Apply alignment. - resultOffset = VmaAlignDown(resultOffset, allocAlignment); - - // Check next suballocations from 2nd for BufferImageGranularity conflicts. - // Make bigger alignment if necessary. - if (bufferImageGranularity > 1 && bufferImageGranularity != allocAlignment && !suballocations2nd.empty()) - { - bool bufferImageGranularityConflict = false; - for (size_t nextSuballocIndex = suballocations2nd.size(); nextSuballocIndex--; ) - { - const VmaSuballocation& nextSuballoc = suballocations2nd[nextSuballocIndex]; - if (VmaBlocksOnSamePage(resultOffset, allocSize, nextSuballoc.offset, bufferImageGranularity)) - { - if (VmaIsBufferImageGranularityConflict(nextSuballoc.type, allocType)) - { - bufferImageGranularityConflict = true; - break; - } - } - else - // Already on previous page. - break; - } - if (bufferImageGranularityConflict) - { - resultOffset = VmaAlignDown(resultOffset, bufferImageGranularity); - } - } - - // There is enough free space. - const VkDeviceSize endOf1st = !suballocations1st.empty() ? - suballocations1st.back().offset + suballocations1st.back().size : - 0; - if (endOf1st + debugMargin <= resultOffset) - { - // Check previous suballocations for BufferImageGranularity conflicts. - // If conflict exists, allocation cannot be made here. - if (bufferImageGranularity > 1) - { - for (size_t prevSuballocIndex = suballocations1st.size(); prevSuballocIndex--; ) - { - const VmaSuballocation& prevSuballoc = suballocations1st[prevSuballocIndex]; - if (VmaBlocksOnSamePage(prevSuballoc.offset, prevSuballoc.size, resultOffset, bufferImageGranularity)) - { - if (VmaIsBufferImageGranularityConflict(allocType, prevSuballoc.type)) - { - return false; - } - } - else - { - // Already on next page. - break; - } - } - } - - // All tests passed: Success. - pAllocationRequest->allocHandle = (VmaAllocHandle)(resultOffset + 1); - // pAllocationRequest->item unused. - pAllocationRequest->type = VmaAllocationRequestType::UpperAddress; - return true; - } - - return false; -} -#endif // _VMA_BLOCK_METADATA_LINEAR_FUNCTIONS -#endif // _VMA_BLOCK_METADATA_LINEAR - -#if 0 -#ifndef _VMA_BLOCK_METADATA_BUDDY -/* -- GetSize() is the original size of allocated memory block. -- m_UsableSize is this size aligned down to a power of two. - All allocations and calculations happen relative to m_UsableSize. -- GetUnusableSize() is the difference between them. - It is reported as separate, unused range, not available for allocations. - -Node at level 0 has size = m_UsableSize. -Each next level contains nodes with size 2 times smaller than current level. -m_LevelCount is the maximum number of levels to use in the current object. -*/ -class VmaBlockMetadata_Buddy : public VmaBlockMetadata -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaBlockMetadata_Buddy) -public: - VmaBlockMetadata_Buddy(const VkAllocationCallbacks* pAllocationCallbacks, - VkDeviceSize bufferImageGranularity, bool isVirtual); - virtual ~VmaBlockMetadata_Buddy(); - - size_t GetAllocationCount() const override { return m_AllocationCount; } - VkDeviceSize GetSumFreeSize() const override { return m_SumFreeSize + GetUnusableSize(); } - bool IsEmpty() const override { return m_Root->type == Node::TYPE_FREE; } - VkResult CheckCorruption(const void* pBlockData) override { return VK_ERROR_FEATURE_NOT_PRESENT; } - VkDeviceSize GetAllocationOffset(VmaAllocHandle allocHandle) const override { return (VkDeviceSize)allocHandle - 1; } - void DebugLogAllAllocations() const override { DebugLogAllAllocationNode(m_Root, 0); } - - void Init(VkDeviceSize size) override; - bool Validate() const override; - - void AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const override; - void AddStatistics(VmaStatistics& inoutStats) const override; - -#if VMA_STATS_STRING_ENABLED - void PrintDetailedMap(class VmaJsonWriter& json, uint32_t mapRefCount) const override; -#endif - - bool CreateAllocationRequest( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - bool upperAddress, - VmaSuballocationType allocType, - uint32_t strategy, - VmaAllocationRequest* pAllocationRequest) override; - - void Alloc( - const VmaAllocationRequest& request, - VmaSuballocationType type, - void* userData) override; - - void Free(VmaAllocHandle allocHandle) override; - void GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) override; - void* GetAllocationUserData(VmaAllocHandle allocHandle) const override; - VmaAllocHandle GetAllocationListBegin() const override; - VmaAllocHandle GetNextAllocation(VmaAllocHandle prevAlloc) const override; - void Clear() override; - void SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) override; - -private: - static const size_t MAX_LEVELS = 48; - - struct ValidationContext - { - size_t calculatedAllocationCount = 0; - size_t calculatedFreeCount = 0; - VkDeviceSize calculatedSumFreeSize = 0; - }; - struct Node - { - VkDeviceSize offset; - enum TYPE - { - TYPE_FREE, - TYPE_ALLOCATION, - TYPE_SPLIT, - TYPE_COUNT - } type; - Node* parent; - Node* buddy; - - union - { - struct - { - Node* prev; - Node* next; - } free; - struct - { - void* userData; - } allocation; - struct - { - Node* leftChild; - } split; - }; - }; - - // Size of the memory block aligned down to a power of two. - VkDeviceSize m_UsableSize; - uint32_t m_LevelCount; - VmaPoolAllocator m_NodeAllocator; - Node* m_Root; - struct - { - Node* front; - Node* back; - } m_FreeList[MAX_LEVELS]; - - // Number of nodes in the tree with type == TYPE_ALLOCATION. - size_t m_AllocationCount; - // Number of nodes in the tree with type == TYPE_FREE. - size_t m_FreeCount; - // Doesn't include space wasted due to internal fragmentation - allocation sizes are just aligned up to node sizes. - // Doesn't include unusable size. - VkDeviceSize m_SumFreeSize; - - VkDeviceSize GetUnusableSize() const { return GetSize() - m_UsableSize; } - VkDeviceSize LevelToNodeSize(uint32_t level) const { return m_UsableSize >> level; } - - VkDeviceSize AlignAllocationSize(VkDeviceSize size) const - { - if (!IsVirtual()) - { - size = VmaAlignUp(size, (VkDeviceSize)16); - } - return VmaNextPow2(size); - } - Node* FindAllocationNode(VkDeviceSize offset, uint32_t& outLevel) const; - void DeleteNodeChildren(Node* node); - bool ValidateNode(ValidationContext& ctx, const Node* parent, const Node* curr, uint32_t level, VkDeviceSize levelNodeSize) const; - uint32_t AllocSizeToLevel(VkDeviceSize allocSize) const; - void AddNodeToDetailedStatistics(VmaDetailedStatistics& inoutStats, const Node* node, VkDeviceSize levelNodeSize) const; - // Adds node to the front of FreeList at given level. - // node->type must be FREE. - // node->free.prev, next can be undefined. - void AddToFreeListFront(uint32_t level, Node* node); - // Removes node from FreeList at given level. - // node->type must be FREE. - // node->free.prev, next stay untouched. - void RemoveFromFreeList(uint32_t level, Node* node); - void DebugLogAllAllocationNode(Node* node, uint32_t level) const; - -#if VMA_STATS_STRING_ENABLED - void PrintDetailedMapNode(class VmaJsonWriter& json, const Node* node, VkDeviceSize levelNodeSize) const; -#endif -}; - -#ifndef _VMA_BLOCK_METADATA_BUDDY_FUNCTIONS -VmaBlockMetadata_Buddy::VmaBlockMetadata_Buddy(const VkAllocationCallbacks* pAllocationCallbacks, - VkDeviceSize bufferImageGranularity, bool isVirtual) - : VmaBlockMetadata(pAllocationCallbacks, bufferImageGranularity, isVirtual), - m_NodeAllocator(pAllocationCallbacks, 32), // firstBlockCapacity - m_Root(VMA_NULL), - m_AllocationCount(0), - m_FreeCount(1), - m_SumFreeSize(0) -{ - memset(m_FreeList, 0, sizeof(m_FreeList)); -} - -VmaBlockMetadata_Buddy::~VmaBlockMetadata_Buddy() -{ - DeleteNodeChildren(m_Root); - m_NodeAllocator.Free(m_Root); -} - -void VmaBlockMetadata_Buddy::Init(VkDeviceSize size) -{ - VmaBlockMetadata::Init(size); - - m_UsableSize = VmaPrevPow2(size); - m_SumFreeSize = m_UsableSize; - - // Calculate m_LevelCount. - const VkDeviceSize minNodeSize = IsVirtual() ? 1 : 16; - m_LevelCount = 1; - while (m_LevelCount < MAX_LEVELS && - LevelToNodeSize(m_LevelCount) >= minNodeSize) - { - ++m_LevelCount; - } - - Node* rootNode = m_NodeAllocator.Alloc(); - rootNode->offset = 0; - rootNode->type = Node::TYPE_FREE; - rootNode->parent = VMA_NULL; - rootNode->buddy = VMA_NULL; - - m_Root = rootNode; - AddToFreeListFront(0, rootNode); -} - -bool VmaBlockMetadata_Buddy::Validate() const -{ - // Validate tree. - ValidationContext ctx; - if (!ValidateNode(ctx, VMA_NULL, m_Root, 0, LevelToNodeSize(0))) - { - VMA_VALIDATE(false && "ValidateNode failed."); - } - VMA_VALIDATE(m_AllocationCount == ctx.calculatedAllocationCount); - VMA_VALIDATE(m_SumFreeSize == ctx.calculatedSumFreeSize); - - // Validate free node lists. - for (uint32_t level = 0; level < m_LevelCount; ++level) - { - VMA_VALIDATE(m_FreeList[level].front == VMA_NULL || - m_FreeList[level].front->free.prev == VMA_NULL); - - for (Node* node = m_FreeList[level].front; - node != VMA_NULL; - node = node->free.next) - { - VMA_VALIDATE(node->type == Node::TYPE_FREE); - - if (node->free.next == VMA_NULL) - { - VMA_VALIDATE(m_FreeList[level].back == node); - } - else - { - VMA_VALIDATE(node->free.next->free.prev == node); - } - } - } - - // Validate that free lists ar higher levels are empty. - for (uint32_t level = m_LevelCount; level < MAX_LEVELS; ++level) - { - VMA_VALIDATE(m_FreeList[level].front == VMA_NULL && m_FreeList[level].back == VMA_NULL); - } - - return true; -} - -void VmaBlockMetadata_Buddy::AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const -{ - inoutStats.statistics.blockCount++; - inoutStats.statistics.blockBytes += GetSize(); - - AddNodeToDetailedStatistics(inoutStats, m_Root, LevelToNodeSize(0)); - - const VkDeviceSize unusableSize = GetUnusableSize(); - if (unusableSize > 0) - VmaAddDetailedStatisticsUnusedRange(inoutStats, unusableSize); -} - -void VmaBlockMetadata_Buddy::AddStatistics(VmaStatistics& inoutStats) const -{ - inoutStats.blockCount++; - inoutStats.allocationCount += (uint32_t)m_AllocationCount; - inoutStats.blockBytes += GetSize(); - inoutStats.allocationBytes += GetSize() - m_SumFreeSize; -} - -#if VMA_STATS_STRING_ENABLED -void VmaBlockMetadata_Buddy::PrintDetailedMap(class VmaJsonWriter& json, uint32_t mapRefCount) const -{ - VmaDetailedStatistics stats; - VmaClearDetailedStatistics(stats); - AddDetailedStatistics(stats); - - PrintDetailedMap_Begin( - json, - stats.statistics.blockBytes - stats.statistics.allocationBytes, - stats.statistics.allocationCount, - stats.unusedRangeCount, - mapRefCount); - - PrintDetailedMapNode(json, m_Root, LevelToNodeSize(0)); - - const VkDeviceSize unusableSize = GetUnusableSize(); - if (unusableSize > 0) - { - PrintDetailedMap_UnusedRange(json, - m_UsableSize, // offset - unusableSize); // size - } - - PrintDetailedMap_End(json); -} -#endif // VMA_STATS_STRING_ENABLED - -bool VmaBlockMetadata_Buddy::CreateAllocationRequest( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - bool upperAddress, - VmaSuballocationType allocType, - uint32_t strategy, - VmaAllocationRequest* pAllocationRequest) -{ - VMA_ASSERT(!upperAddress && "VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT can be used only with linear algorithm."); - - allocSize = AlignAllocationSize(allocSize); - - // Simple way to respect bufferImageGranularity. May be optimized some day. - // Whenever it might be an OPTIMAL image... - if (allocType == VMA_SUBALLOCATION_TYPE_UNKNOWN || - allocType == VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN || - allocType == VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL) - { - allocAlignment = VMA_MAX(allocAlignment, GetBufferImageGranularity()); - allocSize = VmaAlignUp(allocSize, GetBufferImageGranularity()); - } - - if (allocSize > m_UsableSize) - { - return false; - } - - const uint32_t targetLevel = AllocSizeToLevel(allocSize); - for (uint32_t level = targetLevel; level--; ) - { - for (Node* freeNode = m_FreeList[level].front; - freeNode != VMA_NULL; - freeNode = freeNode->free.next) - { - if (freeNode->offset % allocAlignment == 0) - { - pAllocationRequest->type = VmaAllocationRequestType::Normal; - pAllocationRequest->allocHandle = (VmaAllocHandle)(freeNode->offset + 1); - pAllocationRequest->size = allocSize; - pAllocationRequest->customData = (void*)(uintptr_t)level; - return true; - } - } - } - - return false; -} - -void VmaBlockMetadata_Buddy::Alloc( - const VmaAllocationRequest& request, - VmaSuballocationType type, - void* userData) -{ - VMA_ASSERT(request.type == VmaAllocationRequestType::Normal); - - const uint32_t targetLevel = AllocSizeToLevel(request.size); - uint32_t currLevel = (uint32_t)(uintptr_t)request.customData; - - Node* currNode = m_FreeList[currLevel].front; - VMA_ASSERT(currNode != VMA_NULL && currNode->type == Node::TYPE_FREE); - const VkDeviceSize offset = (VkDeviceSize)request.allocHandle - 1; - while (currNode->offset != offset) - { - currNode = currNode->free.next; - VMA_ASSERT(currNode != VMA_NULL && currNode->type == Node::TYPE_FREE); - } - - // Go down, splitting free nodes. - while (currLevel < targetLevel) - { - // currNode is already first free node at currLevel. - // Remove it from list of free nodes at this currLevel. - RemoveFromFreeList(currLevel, currNode); - - const uint32_t childrenLevel = currLevel + 1; - - // Create two free sub-nodes. - Node* leftChild = m_NodeAllocator.Alloc(); - Node* rightChild = m_NodeAllocator.Alloc(); - - leftChild->offset = currNode->offset; - leftChild->type = Node::TYPE_FREE; - leftChild->parent = currNode; - leftChild->buddy = rightChild; - - rightChild->offset = currNode->offset + LevelToNodeSize(childrenLevel); - rightChild->type = Node::TYPE_FREE; - rightChild->parent = currNode; - rightChild->buddy = leftChild; - - // Convert current currNode to split type. - currNode->type = Node::TYPE_SPLIT; - currNode->split.leftChild = leftChild; - - // Add child nodes to free list. Order is important! - AddToFreeListFront(childrenLevel, rightChild); - AddToFreeListFront(childrenLevel, leftChild); - - ++m_FreeCount; - ++currLevel; - currNode = m_FreeList[currLevel].front; - - /* - We can be sure that currNode, as left child of node previously split, - also fulfills the alignment requirement. - */ - } - - // Remove from free list. - VMA_ASSERT(currLevel == targetLevel && - currNode != VMA_NULL && - currNode->type == Node::TYPE_FREE); - RemoveFromFreeList(currLevel, currNode); - - // Convert to allocation node. - currNode->type = Node::TYPE_ALLOCATION; - currNode->allocation.userData = userData; - - ++m_AllocationCount; - --m_FreeCount; - m_SumFreeSize -= request.size; -} - -void VmaBlockMetadata_Buddy::GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) -{ - uint32_t level = 0; - outInfo.offset = (VkDeviceSize)allocHandle - 1; - const Node* const node = FindAllocationNode(outInfo.offset, level); - outInfo.size = LevelToNodeSize(level); - outInfo.pUserData = node->allocation.userData; -} - -void* VmaBlockMetadata_Buddy::GetAllocationUserData(VmaAllocHandle allocHandle) const -{ - uint32_t level = 0; - const Node* const node = FindAllocationNode((VkDeviceSize)allocHandle - 1, level); - return node->allocation.userData; -} - -VmaAllocHandle VmaBlockMetadata_Buddy::GetAllocationListBegin() const -{ - // Function only used for defragmentation, which is disabled for this algorithm - return VK_NULL_HANDLE; -} - -VmaAllocHandle VmaBlockMetadata_Buddy::GetNextAllocation(VmaAllocHandle prevAlloc) const -{ - // Function only used for defragmentation, which is disabled for this algorithm - return VK_NULL_HANDLE; -} - -void VmaBlockMetadata_Buddy::DeleteNodeChildren(Node* node) -{ - if (node->type == Node::TYPE_SPLIT) - { - DeleteNodeChildren(node->split.leftChild->buddy); - DeleteNodeChildren(node->split.leftChild); - const VkAllocationCallbacks* allocationCallbacks = GetAllocationCallbacks(); - m_NodeAllocator.Free(node->split.leftChild->buddy); - m_NodeAllocator.Free(node->split.leftChild); - } -} - -void VmaBlockMetadata_Buddy::Clear() -{ - DeleteNodeChildren(m_Root); - m_Root->type = Node::TYPE_FREE; - m_AllocationCount = 0; - m_FreeCount = 1; - m_SumFreeSize = m_UsableSize; -} - -void VmaBlockMetadata_Buddy::SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) -{ - uint32_t level = 0; - Node* const node = FindAllocationNode((VkDeviceSize)allocHandle - 1, level); - node->allocation.userData = userData; -} - -VmaBlockMetadata_Buddy::Node* VmaBlockMetadata_Buddy::FindAllocationNode(VkDeviceSize offset, uint32_t& outLevel) const -{ - Node* node = m_Root; - VkDeviceSize nodeOffset = 0; - outLevel = 0; - VkDeviceSize levelNodeSize = LevelToNodeSize(0); - while (node->type == Node::TYPE_SPLIT) - { - const VkDeviceSize nextLevelNodeSize = levelNodeSize >> 1; - if (offset < nodeOffset + nextLevelNodeSize) - { - node = node->split.leftChild; - } - else - { - node = node->split.leftChild->buddy; - nodeOffset += nextLevelNodeSize; - } - ++outLevel; - levelNodeSize = nextLevelNodeSize; - } - - VMA_ASSERT(node != VMA_NULL && node->type == Node::TYPE_ALLOCATION); - return node; -} - -bool VmaBlockMetadata_Buddy::ValidateNode(ValidationContext& ctx, const Node* parent, const Node* curr, uint32_t level, VkDeviceSize levelNodeSize) const -{ - VMA_VALIDATE(level < m_LevelCount); - VMA_VALIDATE(curr->parent == parent); - VMA_VALIDATE((curr->buddy == VMA_NULL) == (parent == VMA_NULL)); - VMA_VALIDATE(curr->buddy == VMA_NULL || curr->buddy->buddy == curr); - switch (curr->type) - { - case Node::TYPE_FREE: - // curr->free.prev, next are validated separately. - ctx.calculatedSumFreeSize += levelNodeSize; - ++ctx.calculatedFreeCount; - break; - case Node::TYPE_ALLOCATION: - ++ctx.calculatedAllocationCount; - if (!IsVirtual()) - { - VMA_VALIDATE(curr->allocation.userData != VMA_NULL); - } - break; - case Node::TYPE_SPLIT: - { - const uint32_t childrenLevel = level + 1; - const VkDeviceSize childrenLevelNodeSize = levelNodeSize >> 1; - const Node* const leftChild = curr->split.leftChild; - VMA_VALIDATE(leftChild != VMA_NULL); - VMA_VALIDATE(leftChild->offset == curr->offset); - if (!ValidateNode(ctx, curr, leftChild, childrenLevel, childrenLevelNodeSize)) - { - VMA_VALIDATE(false && "ValidateNode for left child failed."); - } - const Node* const rightChild = leftChild->buddy; - VMA_VALIDATE(rightChild->offset == curr->offset + childrenLevelNodeSize); - if (!ValidateNode(ctx, curr, rightChild, childrenLevel, childrenLevelNodeSize)) - { - VMA_VALIDATE(false && "ValidateNode for right child failed."); - } - } - break; - default: - return false; - } - - return true; -} - -uint32_t VmaBlockMetadata_Buddy::AllocSizeToLevel(VkDeviceSize allocSize) const -{ - // I know this could be optimized somehow e.g. by using std::log2p1 from C++20. - uint32_t level = 0; - VkDeviceSize currLevelNodeSize = m_UsableSize; - VkDeviceSize nextLevelNodeSize = currLevelNodeSize >> 1; - while (allocSize <= nextLevelNodeSize && level + 1 < m_LevelCount) - { - ++level; - currLevelNodeSize >>= 1; - nextLevelNodeSize >>= 1; - } - return level; -} - -void VmaBlockMetadata_Buddy::Free(VmaAllocHandle allocHandle) -{ - uint32_t level = 0; - Node* node = FindAllocationNode((VkDeviceSize)allocHandle - 1, level); - - ++m_FreeCount; - --m_AllocationCount; - m_SumFreeSize += LevelToNodeSize(level); - - node->type = Node::TYPE_FREE; - - // Join free nodes if possible. - while (level > 0 && node->buddy->type == Node::TYPE_FREE) - { - RemoveFromFreeList(level, node->buddy); - Node* const parent = node->parent; - - m_NodeAllocator.Free(node->buddy); - m_NodeAllocator.Free(node); - parent->type = Node::TYPE_FREE; - - node = parent; - --level; - --m_FreeCount; - } - - AddToFreeListFront(level, node); -} - -void VmaBlockMetadata_Buddy::AddNodeToDetailedStatistics(VmaDetailedStatistics& inoutStats, const Node* node, VkDeviceSize levelNodeSize) const -{ - switch (node->type) - { - case Node::TYPE_FREE: - VmaAddDetailedStatisticsUnusedRange(inoutStats, levelNodeSize); - break; - case Node::TYPE_ALLOCATION: - VmaAddDetailedStatisticsAllocation(inoutStats, levelNodeSize); - break; - case Node::TYPE_SPLIT: - { - const VkDeviceSize childrenNodeSize = levelNodeSize / 2; - const Node* const leftChild = node->split.leftChild; - AddNodeToDetailedStatistics(inoutStats, leftChild, childrenNodeSize); - const Node* const rightChild = leftChild->buddy; - AddNodeToDetailedStatistics(inoutStats, rightChild, childrenNodeSize); - } - break; - default: - VMA_ASSERT(0); - } -} - -void VmaBlockMetadata_Buddy::AddToFreeListFront(uint32_t level, Node* node) -{ - VMA_ASSERT(node->type == Node::TYPE_FREE); - - // List is empty. - Node* const frontNode = m_FreeList[level].front; - if (frontNode == VMA_NULL) - { - VMA_ASSERT(m_FreeList[level].back == VMA_NULL); - node->free.prev = node->free.next = VMA_NULL; - m_FreeList[level].front = m_FreeList[level].back = node; - } - else - { - VMA_ASSERT(frontNode->free.prev == VMA_NULL); - node->free.prev = VMA_NULL; - node->free.next = frontNode; - frontNode->free.prev = node; - m_FreeList[level].front = node; - } -} - -void VmaBlockMetadata_Buddy::RemoveFromFreeList(uint32_t level, Node* node) -{ - VMA_ASSERT(m_FreeList[level].front != VMA_NULL); - - // It is at the front. - if (node->free.prev == VMA_NULL) - { - VMA_ASSERT(m_FreeList[level].front == node); - m_FreeList[level].front = node->free.next; - } - else - { - Node* const prevFreeNode = node->free.prev; - VMA_ASSERT(prevFreeNode->free.next == node); - prevFreeNode->free.next = node->free.next; - } - - // It is at the back. - if (node->free.next == VMA_NULL) - { - VMA_ASSERT(m_FreeList[level].back == node); - m_FreeList[level].back = node->free.prev; - } - else - { - Node* const nextFreeNode = node->free.next; - VMA_ASSERT(nextFreeNode->free.prev == node); - nextFreeNode->free.prev = node->free.prev; - } -} - -void VmaBlockMetadata_Buddy::DebugLogAllAllocationNode(Node* node, uint32_t level) const -{ - switch (node->type) - { - case Node::TYPE_FREE: - break; - case Node::TYPE_ALLOCATION: - DebugLogAllocation(node->offset, LevelToNodeSize(level), node->allocation.userData); - break; - case Node::TYPE_SPLIT: - { - ++level; - DebugLogAllAllocationNode(node->split.leftChild, level); - DebugLogAllAllocationNode(node->split.leftChild->buddy, level); - } - break; - default: - VMA_ASSERT(0); - } -} - -#if VMA_STATS_STRING_ENABLED -void VmaBlockMetadata_Buddy::PrintDetailedMapNode(class VmaJsonWriter& json, const Node* node, VkDeviceSize levelNodeSize) const -{ - switch (node->type) - { - case Node::TYPE_FREE: - PrintDetailedMap_UnusedRange(json, node->offset, levelNodeSize); - break; - case Node::TYPE_ALLOCATION: - PrintDetailedMap_Allocation(json, node->offset, levelNodeSize, node->allocation.userData); - break; - case Node::TYPE_SPLIT: - { - const VkDeviceSize childrenNodeSize = levelNodeSize / 2; - const Node* const leftChild = node->split.leftChild; - PrintDetailedMapNode(json, leftChild, childrenNodeSize); - const Node* const rightChild = leftChild->buddy; - PrintDetailedMapNode(json, rightChild, childrenNodeSize); - } - break; - default: - VMA_ASSERT(0); - } -} -#endif // VMA_STATS_STRING_ENABLED -#endif // _VMA_BLOCK_METADATA_BUDDY_FUNCTIONS -#endif // _VMA_BLOCK_METADATA_BUDDY -#endif // #if 0 - -#ifndef _VMA_BLOCK_METADATA_TLSF -// To not search current larger region if first allocation won't succeed and skip to smaller range -// use with VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT as strategy in CreateAllocationRequest(). -// When fragmentation and reusal of previous blocks doesn't matter then use with -// VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT for fastest alloc time possible. -class VmaBlockMetadata_TLSF : public VmaBlockMetadata -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaBlockMetadata_TLSF) -public: - VmaBlockMetadata_TLSF(const VkAllocationCallbacks* pAllocationCallbacks, - VkDeviceSize bufferImageGranularity, bool isVirtual); - virtual ~VmaBlockMetadata_TLSF(); - - size_t GetAllocationCount() const override { return m_AllocCount; } - size_t GetFreeRegionsCount() const override { return m_BlocksFreeCount + 1; } - VkDeviceSize GetSumFreeSize() const override { return m_BlocksFreeSize + m_NullBlock->size; } - bool IsEmpty() const override { return m_NullBlock->offset == 0; } - VkDeviceSize GetAllocationOffset(VmaAllocHandle allocHandle) const override { return ((Block*)allocHandle)->offset; } - - void Init(VkDeviceSize size) override; - bool Validate() const override; - - void AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const override; - void AddStatistics(VmaStatistics& inoutStats) const override; - -#if VMA_STATS_STRING_ENABLED - void PrintDetailedMap(class VmaJsonWriter& json) const override; -#endif - - bool CreateAllocationRequest( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - bool upperAddress, - VmaSuballocationType allocType, - uint32_t strategy, - VmaAllocationRequest* pAllocationRequest) override; - - VkResult CheckCorruption(const void* pBlockData) override; - void Alloc( - const VmaAllocationRequest& request, - VmaSuballocationType type, - void* userData) override; - - void Free(VmaAllocHandle allocHandle) override; - void GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) override; - void* GetAllocationUserData(VmaAllocHandle allocHandle) const override; - VmaAllocHandle GetAllocationListBegin() const override; - VmaAllocHandle GetNextAllocation(VmaAllocHandle prevAlloc) const override; - VkDeviceSize GetNextFreeRegionSize(VmaAllocHandle alloc) const override; - void Clear() override; - void SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) override; - void DebugLogAllAllocations() const override; - -private: - // According to original paper it should be preferable 4 or 5: - // M. Masmano, I. Ripoll, A. Crespo, and J. Real "TLSF: a New Dynamic Memory Allocator for Real-Time Systems" - // http://www.gii.upv.es/tlsf/files/ecrts04_tlsf.pdf - static const uint8_t SECOND_LEVEL_INDEX = 5; - static const uint16_t SMALL_BUFFER_SIZE = 256; - static const uint32_t INITIAL_BLOCK_ALLOC_COUNT = 16; - static const uint8_t MEMORY_CLASS_SHIFT = 7; - static const uint8_t MAX_MEMORY_CLASSES = 65 - MEMORY_CLASS_SHIFT; - - class Block - { - public: - VkDeviceSize offset; - VkDeviceSize size; - Block* prevPhysical; - Block* nextPhysical; - - void MarkFree() { prevFree = VMA_NULL; } - void MarkTaken() { prevFree = this; } - bool IsFree() const { return prevFree != this; } - void*& UserData() { VMA_HEAVY_ASSERT(!IsFree()); return userData; } - Block*& PrevFree() { return prevFree; } - Block*& NextFree() { VMA_HEAVY_ASSERT(IsFree()); return nextFree; } - - private: - Block* prevFree; // Address of the same block here indicates that block is taken - union - { - Block* nextFree; - void* userData; - }; - }; - - size_t m_AllocCount; - // Total number of free blocks besides null block - size_t m_BlocksFreeCount; - // Total size of free blocks excluding null block - VkDeviceSize m_BlocksFreeSize; - uint32_t m_IsFreeBitmap; - uint8_t m_MemoryClasses; - uint32_t m_InnerIsFreeBitmap[MAX_MEMORY_CLASSES]; - uint32_t m_ListsCount; - /* - * 0: 0-3 lists for small buffers - * 1+: 0-(2^SLI-1) lists for normal buffers - */ - Block** m_FreeList; - VmaPoolAllocator m_BlockAllocator; - Block* m_NullBlock; - VmaBlockBufferImageGranularity m_GranularityHandler; - - uint8_t SizeToMemoryClass(VkDeviceSize size) const; - uint16_t SizeToSecondIndex(VkDeviceSize size, uint8_t memoryClass) const; - uint32_t GetListIndex(uint8_t memoryClass, uint16_t secondIndex) const; - uint32_t GetListIndex(VkDeviceSize size) const; - - void RemoveFreeBlock(Block* block); - void InsertFreeBlock(Block* block); - void MergeBlock(Block* block, Block* prev); - - Block* FindFreeBlock(VkDeviceSize size, uint32_t& listIndex) const; - bool CheckBlock( - Block& block, - uint32_t listIndex, - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - VmaSuballocationType allocType, - VmaAllocationRequest* pAllocationRequest); -}; - -#ifndef _VMA_BLOCK_METADATA_TLSF_FUNCTIONS -VmaBlockMetadata_TLSF::VmaBlockMetadata_TLSF(const VkAllocationCallbacks* pAllocationCallbacks, - VkDeviceSize bufferImageGranularity, bool isVirtual) - : VmaBlockMetadata(pAllocationCallbacks, bufferImageGranularity, isVirtual), - m_AllocCount(0), - m_BlocksFreeCount(0), - m_BlocksFreeSize(0), - m_IsFreeBitmap(0), - m_MemoryClasses(0), - m_ListsCount(0), - m_FreeList(VMA_NULL), - m_BlockAllocator(pAllocationCallbacks, INITIAL_BLOCK_ALLOC_COUNT), - m_NullBlock(VMA_NULL), - m_GranularityHandler(bufferImageGranularity) {} - -VmaBlockMetadata_TLSF::~VmaBlockMetadata_TLSF() -{ - if (m_FreeList) - vma_delete_array(GetAllocationCallbacks(), m_FreeList, m_ListsCount); - m_GranularityHandler.Destroy(GetAllocationCallbacks()); -} - -void VmaBlockMetadata_TLSF::Init(VkDeviceSize size) -{ - VmaBlockMetadata::Init(size); - - if (!IsVirtual()) - m_GranularityHandler.Init(GetAllocationCallbacks(), size); - - m_NullBlock = m_BlockAllocator.Alloc(); - m_NullBlock->size = size; - m_NullBlock->offset = 0; - m_NullBlock->prevPhysical = VMA_NULL; - m_NullBlock->nextPhysical = VMA_NULL; - m_NullBlock->MarkFree(); - m_NullBlock->NextFree() = VMA_NULL; - m_NullBlock->PrevFree() = VMA_NULL; - uint8_t memoryClass = SizeToMemoryClass(size); - uint16_t sli = SizeToSecondIndex(size, memoryClass); - m_ListsCount = (memoryClass == 0 ? 0 : (memoryClass - 1) * (1UL << SECOND_LEVEL_INDEX) + sli) + 1; - if (IsVirtual()) - m_ListsCount += 1UL << SECOND_LEVEL_INDEX; - else - m_ListsCount += 4; - - m_MemoryClasses = memoryClass + uint8_t(2); - memset(m_InnerIsFreeBitmap, 0, MAX_MEMORY_CLASSES * sizeof(uint32_t)); - - m_FreeList = vma_new_array(GetAllocationCallbacks(), Block*, m_ListsCount); - memset(m_FreeList, 0, m_ListsCount * sizeof(Block*)); -} - -bool VmaBlockMetadata_TLSF::Validate() const -{ - VMA_VALIDATE(GetSumFreeSize() <= GetSize()); - - VkDeviceSize calculatedSize = m_NullBlock->size; - VkDeviceSize calculatedFreeSize = m_NullBlock->size; - size_t allocCount = 0; - size_t freeCount = 0; - - // Check integrity of free lists - for (uint32_t list = 0; list < m_ListsCount; ++list) - { - Block* block = m_FreeList[list]; - if (block != VMA_NULL) - { - VMA_VALIDATE(block->IsFree()); - VMA_VALIDATE(block->PrevFree() == VMA_NULL); - while (block->NextFree()) - { - VMA_VALIDATE(block->NextFree()->IsFree()); - VMA_VALIDATE(block->NextFree()->PrevFree() == block); - block = block->NextFree(); - } - } - } - - VkDeviceSize nextOffset = m_NullBlock->offset; - auto validateCtx = m_GranularityHandler.StartValidation(GetAllocationCallbacks(), IsVirtual()); - - VMA_VALIDATE(m_NullBlock->nextPhysical == VMA_NULL); - if (m_NullBlock->prevPhysical) - { - VMA_VALIDATE(m_NullBlock->prevPhysical->nextPhysical == m_NullBlock); - } - // Check all blocks - for (Block* prev = m_NullBlock->prevPhysical; prev != VMA_NULL; prev = prev->prevPhysical) - { - VMA_VALIDATE(prev->offset + prev->size == nextOffset); - nextOffset = prev->offset; - calculatedSize += prev->size; - - uint32_t listIndex = GetListIndex(prev->size); - if (prev->IsFree()) - { - ++freeCount; - // Check if free block belongs to free list - Block* freeBlock = m_FreeList[listIndex]; - VMA_VALIDATE(freeBlock != VMA_NULL); - - bool found = false; - do - { - if (freeBlock == prev) - found = true; - - freeBlock = freeBlock->NextFree(); - } while (!found && freeBlock != VMA_NULL); - - VMA_VALIDATE(found); - calculatedFreeSize += prev->size; - } - else - { - ++allocCount; - // Check if taken block is not on a free list - Block* freeBlock = m_FreeList[listIndex]; - while (freeBlock) - { - VMA_VALIDATE(freeBlock != prev); - freeBlock = freeBlock->NextFree(); - } - - if (!IsVirtual()) - { - VMA_VALIDATE(m_GranularityHandler.Validate(validateCtx, prev->offset, prev->size)); - } - } - - if (prev->prevPhysical) - { - VMA_VALIDATE(prev->prevPhysical->nextPhysical == prev); - } - } - - if (!IsVirtual()) - { - VMA_VALIDATE(m_GranularityHandler.FinishValidation(validateCtx)); - } - - VMA_VALIDATE(nextOffset == 0); - VMA_VALIDATE(calculatedSize == GetSize()); - VMA_VALIDATE(calculatedFreeSize == GetSumFreeSize()); - VMA_VALIDATE(allocCount == m_AllocCount); - VMA_VALIDATE(freeCount == m_BlocksFreeCount); - - return true; -} - -void VmaBlockMetadata_TLSF::AddDetailedStatistics(VmaDetailedStatistics& inoutStats) const -{ - inoutStats.statistics.blockCount++; - inoutStats.statistics.blockBytes += GetSize(); - if (m_NullBlock->size > 0) - VmaAddDetailedStatisticsUnusedRange(inoutStats, m_NullBlock->size); - - for (Block* block = m_NullBlock->prevPhysical; block != VMA_NULL; block = block->prevPhysical) - { - if (block->IsFree()) - VmaAddDetailedStatisticsUnusedRange(inoutStats, block->size); - else - VmaAddDetailedStatisticsAllocation(inoutStats, block->size); - } -} - -void VmaBlockMetadata_TLSF::AddStatistics(VmaStatistics& inoutStats) const -{ - inoutStats.blockCount++; - inoutStats.allocationCount += (uint32_t)m_AllocCount; - inoutStats.blockBytes += GetSize(); - inoutStats.allocationBytes += GetSize() - GetSumFreeSize(); -} - -#if VMA_STATS_STRING_ENABLED -void VmaBlockMetadata_TLSF::PrintDetailedMap(class VmaJsonWriter& json) const -{ - size_t blockCount = m_AllocCount + m_BlocksFreeCount; - VmaStlAllocator allocator(GetAllocationCallbacks()); - VmaVector> blockList(blockCount, allocator); - - size_t i = blockCount; - for (Block* block = m_NullBlock->prevPhysical; block != VMA_NULL; block = block->prevPhysical) - { - blockList[--i] = block; - } - VMA_ASSERT(i == 0); - - VmaDetailedStatistics stats; - VmaClearDetailedStatistics(stats); - AddDetailedStatistics(stats); - - PrintDetailedMap_Begin(json, - stats.statistics.blockBytes - stats.statistics.allocationBytes, - stats.statistics.allocationCount, - stats.unusedRangeCount); - - for (; i < blockCount; ++i) - { - Block* block = blockList[i]; - if (block->IsFree()) - PrintDetailedMap_UnusedRange(json, block->offset, block->size); - else - PrintDetailedMap_Allocation(json, block->offset, block->size, block->UserData()); - } - if (m_NullBlock->size > 0) - PrintDetailedMap_UnusedRange(json, m_NullBlock->offset, m_NullBlock->size); - - PrintDetailedMap_End(json); -} -#endif - -bool VmaBlockMetadata_TLSF::CreateAllocationRequest( - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - bool upperAddress, - VmaSuballocationType allocType, - uint32_t strategy, - VmaAllocationRequest* pAllocationRequest) -{ - VMA_ASSERT(allocSize > 0 && "Cannot allocate empty block!"); - VMA_ASSERT(!upperAddress && "VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT can be used only with linear algorithm."); - - // For small granularity round up - if (!IsVirtual()) - m_GranularityHandler.RoundupAllocRequest(allocType, allocSize, allocAlignment); - - allocSize += GetDebugMargin(); - // Quick check for too small pool - if (allocSize > GetSumFreeSize()) - return false; - - // If no free blocks in pool then check only null block - if (m_BlocksFreeCount == 0) - return CheckBlock(*m_NullBlock, m_ListsCount, allocSize, allocAlignment, allocType, pAllocationRequest); - - // Round up to the next block - VkDeviceSize sizeForNextList = allocSize; - VkDeviceSize smallSizeStep = VkDeviceSize(SMALL_BUFFER_SIZE / (IsVirtual() ? 1 << SECOND_LEVEL_INDEX : 4)); - if (allocSize > SMALL_BUFFER_SIZE) - { - sizeForNextList += (1ULL << (VMA_BITSCAN_MSB(allocSize) - SECOND_LEVEL_INDEX)); - } - else if (allocSize > SMALL_BUFFER_SIZE - smallSizeStep) - sizeForNextList = SMALL_BUFFER_SIZE + 1; - else - sizeForNextList += smallSizeStep; - - uint32_t nextListIndex = 0; - uint32_t prevListIndex = 0; - Block* nextListBlock = VMA_NULL; - Block* prevListBlock = VMA_NULL; - - // Check blocks according to strategies - if (strategy & VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT) - { - // Quick check for larger block first - nextListBlock = FindFreeBlock(sizeForNextList, nextListIndex); - if (nextListBlock != VMA_NULL && CheckBlock(*nextListBlock, nextListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) - return true; - - // If not fitted then null block - if (CheckBlock(*m_NullBlock, m_ListsCount, allocSize, allocAlignment, allocType, pAllocationRequest)) - return true; - - // Null block failed, search larger bucket - while (nextListBlock) - { - if (CheckBlock(*nextListBlock, nextListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) - return true; - nextListBlock = nextListBlock->NextFree(); - } - - // Failed again, check best fit bucket - prevListBlock = FindFreeBlock(allocSize, prevListIndex); - while (prevListBlock) - { - if (CheckBlock(*prevListBlock, prevListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) - return true; - prevListBlock = prevListBlock->NextFree(); - } - } - else if (strategy & VMA_ALLOCATION_CREATE_STRATEGY_MIN_MEMORY_BIT) - { - // Check best fit bucket - prevListBlock = FindFreeBlock(allocSize, prevListIndex); - while (prevListBlock) - { - if (CheckBlock(*prevListBlock, prevListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) - return true; - prevListBlock = prevListBlock->NextFree(); - } - - // If failed check null block - if (CheckBlock(*m_NullBlock, m_ListsCount, allocSize, allocAlignment, allocType, pAllocationRequest)) - return true; - - // Check larger bucket - nextListBlock = FindFreeBlock(sizeForNextList, nextListIndex); - while (nextListBlock) - { - if (CheckBlock(*nextListBlock, nextListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) - return true; - nextListBlock = nextListBlock->NextFree(); - } - } - else if (strategy & VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT ) - { - // Perform search from the start - VmaStlAllocator allocator(GetAllocationCallbacks()); - VmaVector> blockList(m_BlocksFreeCount, allocator); - - size_t i = m_BlocksFreeCount; - for (Block* block = m_NullBlock->prevPhysical; block != VMA_NULL; block = block->prevPhysical) - { - if (block->IsFree() && block->size >= allocSize) - blockList[--i] = block; - } - - for (; i < m_BlocksFreeCount; ++i) - { - Block& block = *blockList[i]; - if (CheckBlock(block, GetListIndex(block.size), allocSize, allocAlignment, allocType, pAllocationRequest)) - return true; - } - - // If failed check null block - if (CheckBlock(*m_NullBlock, m_ListsCount, allocSize, allocAlignment, allocType, pAllocationRequest)) - return true; - - // Whole range searched, no more memory - return false; - } - else - { - // Check larger bucket - nextListBlock = FindFreeBlock(sizeForNextList, nextListIndex); - while (nextListBlock) - { - if (CheckBlock(*nextListBlock, nextListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) - return true; - nextListBlock = nextListBlock->NextFree(); - } - - // If failed check null block - if (CheckBlock(*m_NullBlock, m_ListsCount, allocSize, allocAlignment, allocType, pAllocationRequest)) - return true; - - // Check best fit bucket - prevListBlock = FindFreeBlock(allocSize, prevListIndex); - while (prevListBlock) - { - if (CheckBlock(*prevListBlock, prevListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) - return true; - prevListBlock = prevListBlock->NextFree(); - } - } - - // Worst case, full search has to be done - while (++nextListIndex < m_ListsCount) - { - nextListBlock = m_FreeList[nextListIndex]; - while (nextListBlock) - { - if (CheckBlock(*nextListBlock, nextListIndex, allocSize, allocAlignment, allocType, pAllocationRequest)) - return true; - nextListBlock = nextListBlock->NextFree(); - } - } - - // No more memory sadly - return false; -} - -VkResult VmaBlockMetadata_TLSF::CheckCorruption(const void* pBlockData) -{ - for (Block* block = m_NullBlock->prevPhysical; block != VMA_NULL; block = block->prevPhysical) - { - if (!block->IsFree()) - { - if (!VmaValidateMagicValue(pBlockData, block->offset + block->size)) - { - VMA_ASSERT(0 && "MEMORY CORRUPTION DETECTED AFTER VALIDATED ALLOCATION!"); - return VK_ERROR_UNKNOWN_COPY; - } - } - } - - return VK_SUCCESS; -} - -void VmaBlockMetadata_TLSF::Alloc( - const VmaAllocationRequest& request, - VmaSuballocationType type, - void* userData) -{ - VMA_ASSERT(request.type == VmaAllocationRequestType::TLSF); - - // Get block and pop it from the free list - Block* currentBlock = (Block*)request.allocHandle; - VkDeviceSize offset = request.algorithmData; - VMA_ASSERT(currentBlock != VMA_NULL); - VMA_ASSERT(currentBlock->offset <= offset); - - if (currentBlock != m_NullBlock) - RemoveFreeBlock(currentBlock); - - VkDeviceSize debugMargin = GetDebugMargin(); - VkDeviceSize misssingAlignment = offset - currentBlock->offset; - - // Append missing alignment to prev block or create new one - if (misssingAlignment) - { - Block* prevBlock = currentBlock->prevPhysical; - VMA_ASSERT(prevBlock != VMA_NULL && "There should be no missing alignment at offset 0!"); - - if (prevBlock->IsFree() && prevBlock->size != debugMargin) - { - uint32_t oldList = GetListIndex(prevBlock->size); - prevBlock->size += misssingAlignment; - // Check if new size crosses list bucket - if (oldList != GetListIndex(prevBlock->size)) - { - prevBlock->size -= misssingAlignment; - RemoveFreeBlock(prevBlock); - prevBlock->size += misssingAlignment; - InsertFreeBlock(prevBlock); - } - else - m_BlocksFreeSize += misssingAlignment; - } - else - { - Block* newBlock = m_BlockAllocator.Alloc(); - currentBlock->prevPhysical = newBlock; - prevBlock->nextPhysical = newBlock; - newBlock->prevPhysical = prevBlock; - newBlock->nextPhysical = currentBlock; - newBlock->size = misssingAlignment; - newBlock->offset = currentBlock->offset; - newBlock->MarkTaken(); - - InsertFreeBlock(newBlock); - } - - currentBlock->size -= misssingAlignment; - currentBlock->offset += misssingAlignment; - } - - VkDeviceSize size = request.size + debugMargin; - if (currentBlock->size == size) - { - if (currentBlock == m_NullBlock) - { - // Setup new null block - m_NullBlock = m_BlockAllocator.Alloc(); - m_NullBlock->size = 0; - m_NullBlock->offset = currentBlock->offset + size; - m_NullBlock->prevPhysical = currentBlock; - m_NullBlock->nextPhysical = VMA_NULL; - m_NullBlock->MarkFree(); - m_NullBlock->PrevFree() = VMA_NULL; - m_NullBlock->NextFree() = VMA_NULL; - currentBlock->nextPhysical = m_NullBlock; - currentBlock->MarkTaken(); - } - } - else - { - VMA_ASSERT(currentBlock->size > size && "Proper block already found, shouldn't find smaller one!"); - - // Create new free block - Block* newBlock = m_BlockAllocator.Alloc(); - newBlock->size = currentBlock->size - size; - newBlock->offset = currentBlock->offset + size; - newBlock->prevPhysical = currentBlock; - newBlock->nextPhysical = currentBlock->nextPhysical; - currentBlock->nextPhysical = newBlock; - currentBlock->size = size; - - if (currentBlock == m_NullBlock) - { - m_NullBlock = newBlock; - m_NullBlock->MarkFree(); - m_NullBlock->NextFree() = VMA_NULL; - m_NullBlock->PrevFree() = VMA_NULL; - currentBlock->MarkTaken(); - } - else - { - newBlock->nextPhysical->prevPhysical = newBlock; - newBlock->MarkTaken(); - InsertFreeBlock(newBlock); - } - } - currentBlock->UserData() = userData; - - if (debugMargin > 0) - { - currentBlock->size -= debugMargin; - Block* newBlock = m_BlockAllocator.Alloc(); - newBlock->size = debugMargin; - newBlock->offset = currentBlock->offset + currentBlock->size; - newBlock->prevPhysical = currentBlock; - newBlock->nextPhysical = currentBlock->nextPhysical; - newBlock->MarkTaken(); - currentBlock->nextPhysical->prevPhysical = newBlock; - currentBlock->nextPhysical = newBlock; - InsertFreeBlock(newBlock); - } - - if (!IsVirtual()) - m_GranularityHandler.AllocPages((uint8_t)(uintptr_t)request.customData, - currentBlock->offset, currentBlock->size); - ++m_AllocCount; -} - -void VmaBlockMetadata_TLSF::Free(VmaAllocHandle allocHandle) -{ - Block* block = (Block*)allocHandle; - Block* next = block->nextPhysical; - VMA_ASSERT(!block->IsFree() && "Block is already free!"); - - if (!IsVirtual()) - m_GranularityHandler.FreePages(block->offset, block->size); - --m_AllocCount; - - VkDeviceSize debugMargin = GetDebugMargin(); - if (debugMargin > 0) - { - RemoveFreeBlock(next); - MergeBlock(next, block); - block = next; - next = next->nextPhysical; - } - - // Try merging - Block* prev = block->prevPhysical; - if (prev != VMA_NULL && prev->IsFree() && prev->size != debugMargin) - { - RemoveFreeBlock(prev); - MergeBlock(block, prev); - } - - if (!next->IsFree()) - InsertFreeBlock(block); - else if (next == m_NullBlock) - MergeBlock(m_NullBlock, block); - else - { - RemoveFreeBlock(next); - MergeBlock(next, block); - InsertFreeBlock(next); - } -} - -void VmaBlockMetadata_TLSF::GetAllocationInfo(VmaAllocHandle allocHandle, VmaVirtualAllocationInfo& outInfo) -{ - Block* block = (Block*)allocHandle; - VMA_ASSERT(!block->IsFree() && "Cannot get allocation info for free block!"); - outInfo.offset = block->offset; - outInfo.size = block->size; - outInfo.pUserData = block->UserData(); -} - -void* VmaBlockMetadata_TLSF::GetAllocationUserData(VmaAllocHandle allocHandle) const -{ - Block* block = (Block*)allocHandle; - VMA_ASSERT(!block->IsFree() && "Cannot get user data for free block!"); - return block->UserData(); -} - -VmaAllocHandle VmaBlockMetadata_TLSF::GetAllocationListBegin() const -{ - if (m_AllocCount == 0) - return VK_NULL_HANDLE; - - for (Block* block = m_NullBlock->prevPhysical; block; block = block->prevPhysical) - { - if (!block->IsFree()) - return (VmaAllocHandle)block; - } - VMA_ASSERT(false && "If m_AllocCount > 0 then should find any allocation!"); - return VK_NULL_HANDLE; -} - -VmaAllocHandle VmaBlockMetadata_TLSF::GetNextAllocation(VmaAllocHandle prevAlloc) const -{ - Block* startBlock = (Block*)prevAlloc; - VMA_ASSERT(!startBlock->IsFree() && "Incorrect block!"); - - for (Block* block = startBlock->prevPhysical; block; block = block->prevPhysical) - { - if (!block->IsFree()) - return (VmaAllocHandle)block; - } - return VK_NULL_HANDLE; -} - -VkDeviceSize VmaBlockMetadata_TLSF::GetNextFreeRegionSize(VmaAllocHandle alloc) const -{ - Block* block = (Block*)alloc; - VMA_ASSERT(!block->IsFree() && "Incorrect block!"); - - if (block->prevPhysical) - return block->prevPhysical->IsFree() ? block->prevPhysical->size : 0; - return 0; -} - -void VmaBlockMetadata_TLSF::Clear() -{ - m_AllocCount = 0; - m_BlocksFreeCount = 0; - m_BlocksFreeSize = 0; - m_IsFreeBitmap = 0; - m_NullBlock->offset = 0; - m_NullBlock->size = GetSize(); - Block* block = m_NullBlock->prevPhysical; - m_NullBlock->prevPhysical = VMA_NULL; - while (block) - { - Block* prev = block->prevPhysical; - m_BlockAllocator.Free(block); - block = prev; - } - memset(m_FreeList, 0, m_ListsCount * sizeof(Block*)); - memset(m_InnerIsFreeBitmap, 0, m_MemoryClasses * sizeof(uint32_t)); - m_GranularityHandler.Clear(); -} - -void VmaBlockMetadata_TLSF::SetAllocationUserData(VmaAllocHandle allocHandle, void* userData) -{ - Block* block = (Block*)allocHandle; - VMA_ASSERT(!block->IsFree() && "Trying to set user data for not allocated block!"); - block->UserData() = userData; -} - -void VmaBlockMetadata_TLSF::DebugLogAllAllocations() const -{ - for (Block* block = m_NullBlock->prevPhysical; block != VMA_NULL; block = block->prevPhysical) - if (!block->IsFree()) - DebugLogAllocation(block->offset, block->size, block->UserData()); -} - -uint8_t VmaBlockMetadata_TLSF::SizeToMemoryClass(VkDeviceSize size) const -{ - if (size > SMALL_BUFFER_SIZE) - return uint8_t(VMA_BITSCAN_MSB(size) - MEMORY_CLASS_SHIFT); - return 0; -} - -uint16_t VmaBlockMetadata_TLSF::SizeToSecondIndex(VkDeviceSize size, uint8_t memoryClass) const -{ - if (memoryClass == 0) - { - if (IsVirtual()) - return static_cast((size - 1) / 8); - else - return static_cast((size - 1) / 64); - } - return static_cast((size >> (memoryClass + MEMORY_CLASS_SHIFT - SECOND_LEVEL_INDEX)) ^ (1U << SECOND_LEVEL_INDEX)); -} - -uint32_t VmaBlockMetadata_TLSF::GetListIndex(uint8_t memoryClass, uint16_t secondIndex) const -{ - if (memoryClass == 0) - return secondIndex; - - const uint32_t index = static_cast(memoryClass - 1) * (1 << SECOND_LEVEL_INDEX) + secondIndex; - if (IsVirtual()) - return index + (1 << SECOND_LEVEL_INDEX); - else - return index + 4; -} - -uint32_t VmaBlockMetadata_TLSF::GetListIndex(VkDeviceSize size) const -{ - uint8_t memoryClass = SizeToMemoryClass(size); - return GetListIndex(memoryClass, SizeToSecondIndex(size, memoryClass)); -} - -void VmaBlockMetadata_TLSF::RemoveFreeBlock(Block* block) -{ - VMA_ASSERT(block != m_NullBlock); - VMA_ASSERT(block->IsFree()); - - if (block->NextFree() != VMA_NULL) - block->NextFree()->PrevFree() = block->PrevFree(); - if (block->PrevFree() != VMA_NULL) - block->PrevFree()->NextFree() = block->NextFree(); - else - { - uint8_t memClass = SizeToMemoryClass(block->size); - uint16_t secondIndex = SizeToSecondIndex(block->size, memClass); - uint32_t index = GetListIndex(memClass, secondIndex); - VMA_ASSERT(m_FreeList[index] == block); - m_FreeList[index] = block->NextFree(); - if (block->NextFree() == VMA_NULL) - { - m_InnerIsFreeBitmap[memClass] &= ~(1U << secondIndex); - if (m_InnerIsFreeBitmap[memClass] == 0) - m_IsFreeBitmap &= ~(1UL << memClass); - } - } - block->MarkTaken(); - block->UserData() = VMA_NULL; - --m_BlocksFreeCount; - m_BlocksFreeSize -= block->size; -} - -void VmaBlockMetadata_TLSF::InsertFreeBlock(Block* block) -{ - VMA_ASSERT(block != m_NullBlock); - VMA_ASSERT(!block->IsFree() && "Cannot insert block twice!"); - - uint8_t memClass = SizeToMemoryClass(block->size); - uint16_t secondIndex = SizeToSecondIndex(block->size, memClass); - uint32_t index = GetListIndex(memClass, secondIndex); - VMA_ASSERT(index < m_ListsCount); - block->PrevFree() = VMA_NULL; - block->NextFree() = m_FreeList[index]; - m_FreeList[index] = block; - if (block->NextFree() != VMA_NULL) - block->NextFree()->PrevFree() = block; - else - { - m_InnerIsFreeBitmap[memClass] |= 1U << secondIndex; - m_IsFreeBitmap |= 1UL << memClass; - } - ++m_BlocksFreeCount; - m_BlocksFreeSize += block->size; -} - -void VmaBlockMetadata_TLSF::MergeBlock(Block* block, Block* prev) -{ - VMA_ASSERT(block->prevPhysical == prev && "Cannot merge separate physical regions!"); - VMA_ASSERT(!prev->IsFree() && "Cannot merge block that belongs to free list!"); - - block->offset = prev->offset; - block->size += prev->size; - block->prevPhysical = prev->prevPhysical; - if (block->prevPhysical) - block->prevPhysical->nextPhysical = block; - m_BlockAllocator.Free(prev); -} - -VmaBlockMetadata_TLSF::Block* VmaBlockMetadata_TLSF::FindFreeBlock(VkDeviceSize size, uint32_t& listIndex) const -{ - uint8_t memoryClass = SizeToMemoryClass(size); - uint32_t innerFreeMap = m_InnerIsFreeBitmap[memoryClass] & (~0U << SizeToSecondIndex(size, memoryClass)); - if (!innerFreeMap) - { - // Check higher levels for available blocks - uint32_t freeMap = m_IsFreeBitmap & (~0UL << (memoryClass + 1)); - if (!freeMap) - return VMA_NULL; // No more memory available - - // Find lowest free region - memoryClass = VMA_BITSCAN_LSB(freeMap); - innerFreeMap = m_InnerIsFreeBitmap[memoryClass]; - VMA_ASSERT(innerFreeMap != 0); - } - // Find lowest free subregion - listIndex = GetListIndex(memoryClass, VMA_BITSCAN_LSB(innerFreeMap)); - VMA_ASSERT(m_FreeList[listIndex]); - return m_FreeList[listIndex]; -} - -bool VmaBlockMetadata_TLSF::CheckBlock( - Block& block, - uint32_t listIndex, - VkDeviceSize allocSize, - VkDeviceSize allocAlignment, - VmaSuballocationType allocType, - VmaAllocationRequest* pAllocationRequest) -{ - VMA_ASSERT(block.IsFree() && "Block is already taken!"); - - VkDeviceSize alignedOffset = VmaAlignUp(block.offset, allocAlignment); - if (block.size < allocSize + alignedOffset - block.offset) - return false; - - // Check for granularity conflicts - if (!IsVirtual() && - m_GranularityHandler.CheckConflictAndAlignUp(alignedOffset, allocSize, block.offset, block.size, allocType)) - return false; - - // Alloc successful - pAllocationRequest->type = VmaAllocationRequestType::TLSF; - pAllocationRequest->allocHandle = (VmaAllocHandle)█ - pAllocationRequest->size = allocSize - GetDebugMargin(); - pAllocationRequest->customData = (void*)allocType; - pAllocationRequest->algorithmData = alignedOffset; - - // Place block at the start of list if it's normal block - if (listIndex != m_ListsCount && block.PrevFree()) - { - block.PrevFree()->NextFree() = block.NextFree(); - if (block.NextFree()) - block.NextFree()->PrevFree() = block.PrevFree(); - block.PrevFree() = VMA_NULL; - block.NextFree() = m_FreeList[listIndex]; - m_FreeList[listIndex] = █ - if (block.NextFree()) - block.NextFree()->PrevFree() = █ - } - - return true; -} -#endif // _VMA_BLOCK_METADATA_TLSF_FUNCTIONS -#endif // _VMA_BLOCK_METADATA_TLSF - -#ifndef _VMA_BLOCK_VECTOR -/* -Sequence of VmaDeviceMemoryBlock. Represents memory blocks allocated for a specific -Vulkan memory type. - -Synchronized internally with a mutex. -*/ -class VmaBlockVector -{ - friend struct VmaDefragmentationContext_T; - VMA_CLASS_NO_COPY_NO_MOVE(VmaBlockVector) -public: - VmaBlockVector( - VmaAllocator hAllocator, - VmaPool hParentPool, - uint32_t memoryTypeIndex, - VkDeviceSize preferredBlockSize, - size_t minBlockCount, - size_t maxBlockCount, - VkDeviceSize bufferImageGranularity, - bool explicitBlockSize, - uint32_t algorithm, - float priority, - VkDeviceSize minAllocationAlignment, - void* pMemoryAllocateNext); - ~VmaBlockVector(); - - VmaAllocator GetAllocator() const { return m_hAllocator; } - VmaPool GetParentPool() const { return m_hParentPool; } - bool IsCustomPool() const { return m_hParentPool != VMA_NULL; } - uint32_t GetMemoryTypeIndex() const { return m_MemoryTypeIndex; } - VkDeviceSize GetPreferredBlockSize() const { return m_PreferredBlockSize; } - VkDeviceSize GetBufferImageGranularity() const { return m_BufferImageGranularity; } - uint32_t GetAlgorithm() const { return m_Algorithm; } - bool HasExplicitBlockSize() const { return m_ExplicitBlockSize; } - float GetPriority() const { return m_Priority; } - const void* GetAllocationNextPtr() const { return m_pMemoryAllocateNext; } - // To be used only while the m_Mutex is locked. Used during defragmentation. - size_t GetBlockCount() const { return m_Blocks.size(); } - // To be used only while the m_Mutex is locked. Used during defragmentation. - VmaDeviceMemoryBlock* GetBlock(size_t index) const { return m_Blocks[index]; } - VMA_RW_MUTEX &GetMutex() { return m_Mutex; } - - VkResult CreateMinBlocks(); - void AddStatistics(VmaStatistics& inoutStats); - void AddDetailedStatistics(VmaDetailedStatistics& inoutStats); - bool IsEmpty(); - bool IsCorruptionDetectionEnabled() const; - - VkResult Allocate( - VkDeviceSize size, - VkDeviceSize alignment, - const VmaAllocationCreateInfo& createInfo, - VmaSuballocationType suballocType, - size_t allocationCount, - VmaAllocation* pAllocations); - - void Free(const VmaAllocation hAllocation); - -#if VMA_STATS_STRING_ENABLED - void PrintDetailedMap(class VmaJsonWriter& json); -#endif - - VkResult CheckCorruption(); - -private: - const VmaAllocator m_hAllocator; - const VmaPool m_hParentPool; - const uint32_t m_MemoryTypeIndex; - const VkDeviceSize m_PreferredBlockSize; - const size_t m_MinBlockCount; - const size_t m_MaxBlockCount; - const VkDeviceSize m_BufferImageGranularity; - const bool m_ExplicitBlockSize; - const uint32_t m_Algorithm; - const float m_Priority; - const VkDeviceSize m_MinAllocationAlignment; - - void* const m_pMemoryAllocateNext; - VMA_RW_MUTEX m_Mutex; - // Incrementally sorted by sumFreeSize, ascending. - VmaVector> m_Blocks; - uint32_t m_NextBlockId; - bool m_IncrementalSort = true; - - void SetIncrementalSort(bool val) { m_IncrementalSort = val; } - - VkDeviceSize CalcMaxBlockSize() const; - // Finds and removes given block from vector. - void Remove(VmaDeviceMemoryBlock* pBlock); - // Performs single step in sorting m_Blocks. They may not be fully sorted - // after this call. - void IncrementallySortBlocks(); - void SortByFreeSize(); - - VkResult AllocatePage( - VkDeviceSize size, - VkDeviceSize alignment, - const VmaAllocationCreateInfo& createInfo, - VmaSuballocationType suballocType, - VmaAllocation* pAllocation); - - VkResult AllocateFromBlock( - VmaDeviceMemoryBlock* pBlock, - VkDeviceSize size, - VkDeviceSize alignment, - VmaAllocationCreateFlags allocFlags, - void* pUserData, - VmaSuballocationType suballocType, - uint32_t strategy, - VmaAllocation* pAllocation); - - VkResult CommitAllocationRequest( - VmaAllocationRequest& allocRequest, - VmaDeviceMemoryBlock* pBlock, - VkDeviceSize alignment, - VmaAllocationCreateFlags allocFlags, - void* pUserData, - VmaSuballocationType suballocType, - VmaAllocation* pAllocation); - - VkResult CreateBlock(VkDeviceSize blockSize, size_t* pNewBlockIndex); - bool HasEmptyBlock(); -}; -#endif // _VMA_BLOCK_VECTOR - -#ifndef _VMA_DEFRAGMENTATION_CONTEXT -struct VmaDefragmentationContext_T -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaDefragmentationContext_T) -public: - VmaDefragmentationContext_T( - VmaAllocator hAllocator, - const VmaDefragmentationInfo& info); - ~VmaDefragmentationContext_T(); - - void GetStats(VmaDefragmentationStats& outStats) { outStats = m_GlobalStats; } - - VkResult DefragmentPassBegin(VmaDefragmentationPassMoveInfo& moveInfo); - VkResult DefragmentPassEnd(VmaDefragmentationPassMoveInfo& moveInfo); - -private: - // Max number of allocations to ignore due to size constraints before ending single pass - static const uint8_t MAX_ALLOCS_TO_IGNORE = 16; - enum class CounterStatus { Pass, Ignore, End }; - - struct FragmentedBlock - { - uint32_t data; - VmaDeviceMemoryBlock* block; - }; - struct StateBalanced - { - VkDeviceSize avgFreeSize = 0; - VkDeviceSize avgAllocSize = UINT64_MAX; - }; - struct StateExtensive - { - enum class Operation : uint8_t - { - FindFreeBlockBuffer, FindFreeBlockTexture, FindFreeBlockAll, - MoveBuffers, MoveTextures, MoveAll, - Cleanup, Done - }; - - Operation operation = Operation::FindFreeBlockTexture; - size_t firstFreeBlock = SIZE_MAX; - }; - struct MoveAllocationData - { - VkDeviceSize size; - VkDeviceSize alignment; - VmaSuballocationType type; - VmaAllocationCreateFlags flags; - VmaDefragmentationMove move = {}; - }; - - const VkDeviceSize m_MaxPassBytes; - const uint32_t m_MaxPassAllocations; - - VmaStlAllocator m_MoveAllocator; - VmaVector> m_Moves; - - uint8_t m_IgnoredAllocs = 0; - uint32_t m_Algorithm; - uint32_t m_BlockVectorCount; - VmaBlockVector* m_PoolBlockVector; - VmaBlockVector** m_pBlockVectors; - size_t m_ImmovableBlockCount = 0; - VmaDefragmentationStats m_GlobalStats = { 0 }; - VmaDefragmentationStats m_PassStats = { 0 }; - void* m_AlgorithmState = VMA_NULL; - - static MoveAllocationData GetMoveData(VmaAllocHandle handle, VmaBlockMetadata* metadata); - CounterStatus CheckCounters(VkDeviceSize bytes); - bool IncrementCounters(VkDeviceSize bytes); - bool ReallocWithinBlock(VmaBlockVector& vector, VmaDeviceMemoryBlock* block); - bool AllocInOtherBlock(size_t start, size_t end, MoveAllocationData& data, VmaBlockVector& vector); - - bool ComputeDefragmentation(VmaBlockVector& vector, size_t index); - bool ComputeDefragmentation_Fast(VmaBlockVector& vector); - bool ComputeDefragmentation_Balanced(VmaBlockVector& vector, size_t index, bool update); - bool ComputeDefragmentation_Full(VmaBlockVector& vector); - bool ComputeDefragmentation_Extensive(VmaBlockVector& vector, size_t index); - - void UpdateVectorStatistics(VmaBlockVector& vector, StateBalanced& state); - bool MoveDataToFreeBlocks(VmaSuballocationType currentType, - VmaBlockVector& vector, size_t firstFreeBlock, - bool& texturePresent, bool& bufferPresent, bool& otherPresent); -}; -#endif // _VMA_DEFRAGMENTATION_CONTEXT - -#ifndef _VMA_POOL_T -struct VmaPool_T -{ - friend struct VmaPoolListItemTraits; - VMA_CLASS_NO_COPY_NO_MOVE(VmaPool_T) -public: - VmaBlockVector m_BlockVector; - VmaDedicatedAllocationList m_DedicatedAllocations; - - VmaPool_T( - VmaAllocator hAllocator, - const VmaPoolCreateInfo& createInfo, - VkDeviceSize preferredBlockSize); - ~VmaPool_T(); - - uint32_t GetId() const { return m_Id; } - void SetId(uint32_t id) { VMA_ASSERT(m_Id == 0); m_Id = id; } - - const char* GetName() const { return m_Name; } - void SetName(const char* pName); - -#if VMA_STATS_STRING_ENABLED - //void PrintDetailedMap(class VmaStringBuilder& sb); -#endif - -private: - uint32_t m_Id; - char* m_Name; - VmaPool_T* m_PrevPool = VMA_NULL; - VmaPool_T* m_NextPool = VMA_NULL; -}; - -struct VmaPoolListItemTraits -{ - typedef VmaPool_T ItemType; - - static ItemType* GetPrev(const ItemType* item) { return item->m_PrevPool; } - static ItemType* GetNext(const ItemType* item) { return item->m_NextPool; } - static ItemType*& AccessPrev(ItemType* item) { return item->m_PrevPool; } - static ItemType*& AccessNext(ItemType* item) { return item->m_NextPool; } -}; -#endif // _VMA_POOL_T - -#ifndef _VMA_CURRENT_BUDGET_DATA -struct VmaCurrentBudgetData -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaCurrentBudgetData) -public: - - VMA_ATOMIC_UINT32 m_BlockCount[VK_MAX_MEMORY_HEAPS]; - VMA_ATOMIC_UINT32 m_AllocationCount[VK_MAX_MEMORY_HEAPS]; - VMA_ATOMIC_UINT64 m_BlockBytes[VK_MAX_MEMORY_HEAPS]; - VMA_ATOMIC_UINT64 m_AllocationBytes[VK_MAX_MEMORY_HEAPS]; - -#if VMA_MEMORY_BUDGET - VMA_ATOMIC_UINT32 m_OperationsSinceBudgetFetch; - VMA_RW_MUTEX m_BudgetMutex; - uint64_t m_VulkanUsage[VK_MAX_MEMORY_HEAPS]; - uint64_t m_VulkanBudget[VK_MAX_MEMORY_HEAPS]; - uint64_t m_BlockBytesAtBudgetFetch[VK_MAX_MEMORY_HEAPS]; -#endif // VMA_MEMORY_BUDGET - - VmaCurrentBudgetData(); - - void AddAllocation(uint32_t heapIndex, VkDeviceSize allocationSize); - void RemoveAllocation(uint32_t heapIndex, VkDeviceSize allocationSize); -}; - -#ifndef _VMA_CURRENT_BUDGET_DATA_FUNCTIONS -VmaCurrentBudgetData::VmaCurrentBudgetData() -{ - for (uint32_t heapIndex = 0; heapIndex < VK_MAX_MEMORY_HEAPS; ++heapIndex) - { - m_BlockCount[heapIndex] = 0; - m_AllocationCount[heapIndex] = 0; - m_BlockBytes[heapIndex] = 0; - m_AllocationBytes[heapIndex] = 0; -#if VMA_MEMORY_BUDGET - m_VulkanUsage[heapIndex] = 0; - m_VulkanBudget[heapIndex] = 0; - m_BlockBytesAtBudgetFetch[heapIndex] = 0; -#endif - } - -#if VMA_MEMORY_BUDGET - m_OperationsSinceBudgetFetch = 0; -#endif -} - -void VmaCurrentBudgetData::AddAllocation(uint32_t heapIndex, VkDeviceSize allocationSize) -{ - m_AllocationBytes[heapIndex] += allocationSize; - ++m_AllocationCount[heapIndex]; -#if VMA_MEMORY_BUDGET - ++m_OperationsSinceBudgetFetch; -#endif -} - -void VmaCurrentBudgetData::RemoveAllocation(uint32_t heapIndex, VkDeviceSize allocationSize) -{ - VMA_ASSERT(m_AllocationBytes[heapIndex] >= allocationSize); - m_AllocationBytes[heapIndex] -= allocationSize; - VMA_ASSERT(m_AllocationCount[heapIndex] > 0); - --m_AllocationCount[heapIndex]; -#if VMA_MEMORY_BUDGET - ++m_OperationsSinceBudgetFetch; -#endif -} -#endif // _VMA_CURRENT_BUDGET_DATA_FUNCTIONS -#endif // _VMA_CURRENT_BUDGET_DATA - -#ifndef _VMA_ALLOCATION_OBJECT_ALLOCATOR -/* -Thread-safe wrapper over VmaPoolAllocator free list, for allocation of VmaAllocation_T objects. -*/ -class VmaAllocationObjectAllocator -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaAllocationObjectAllocator) -public: - VmaAllocationObjectAllocator(const VkAllocationCallbacks* pAllocationCallbacks) - : m_Allocator(pAllocationCallbacks, 1024) {} - - template VmaAllocation Allocate(Types&&... args); - void Free(VmaAllocation hAlloc); - -private: - VMA_MUTEX m_Mutex; - VmaPoolAllocator m_Allocator; -}; - -template -VmaAllocation VmaAllocationObjectAllocator::Allocate(Types&&... args) -{ - VmaMutexLock mutexLock(m_Mutex); - return m_Allocator.Alloc(std::forward(args)...); -} - -void VmaAllocationObjectAllocator::Free(VmaAllocation hAlloc) -{ - VmaMutexLock mutexLock(m_Mutex); - m_Allocator.Free(hAlloc); -} -#endif // _VMA_ALLOCATION_OBJECT_ALLOCATOR - -#ifndef _VMA_VIRTUAL_BLOCK_T -struct VmaVirtualBlock_T -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaVirtualBlock_T) -public: - const bool m_AllocationCallbacksSpecified; - const VkAllocationCallbacks m_AllocationCallbacks; - - VmaVirtualBlock_T(const VmaVirtualBlockCreateInfo& createInfo); - ~VmaVirtualBlock_T(); - - VkResult Init() { return VK_SUCCESS; } - bool IsEmpty() const { return m_Metadata->IsEmpty(); } - void Free(VmaVirtualAllocation allocation) { m_Metadata->Free((VmaAllocHandle)allocation); } - void SetAllocationUserData(VmaVirtualAllocation allocation, void* userData) { m_Metadata->SetAllocationUserData((VmaAllocHandle)allocation, userData); } - void Clear() { m_Metadata->Clear(); } - - const VkAllocationCallbacks* GetAllocationCallbacks() const; - void GetAllocationInfo(VmaVirtualAllocation allocation, VmaVirtualAllocationInfo& outInfo); - VkResult Allocate(const VmaVirtualAllocationCreateInfo& createInfo, VmaVirtualAllocation& outAllocation, - VkDeviceSize* outOffset); - void GetStatistics(VmaStatistics& outStats) const; - void CalculateDetailedStatistics(VmaDetailedStatistics& outStats) const; -#if VMA_STATS_STRING_ENABLED - void BuildStatsString(bool detailedMap, VmaStringBuilder& sb) const; -#endif - -private: - VmaBlockMetadata* m_Metadata; -}; - -#ifndef _VMA_VIRTUAL_BLOCK_T_FUNCTIONS -VmaVirtualBlock_T::VmaVirtualBlock_T(const VmaVirtualBlockCreateInfo& createInfo) - : m_AllocationCallbacksSpecified(createInfo.pAllocationCallbacks != VMA_NULL), - m_AllocationCallbacks(createInfo.pAllocationCallbacks != VMA_NULL ? *createInfo.pAllocationCallbacks : VmaEmptyAllocationCallbacks) -{ - const uint32_t algorithm = createInfo.flags & VMA_VIRTUAL_BLOCK_CREATE_ALGORITHM_MASK; - switch (algorithm) - { - case 0: - m_Metadata = vma_new(GetAllocationCallbacks(), VmaBlockMetadata_TLSF)(VK_NULL_HANDLE, 1, true); - break; - case VMA_VIRTUAL_BLOCK_CREATE_LINEAR_ALGORITHM_BIT: - m_Metadata = vma_new(GetAllocationCallbacks(), VmaBlockMetadata_Linear)(VK_NULL_HANDLE, 1, true); - break; - default: - VMA_ASSERT(0); - m_Metadata = vma_new(GetAllocationCallbacks(), VmaBlockMetadata_TLSF)(VK_NULL_HANDLE, 1, true); - } - - m_Metadata->Init(createInfo.size); -} - -VmaVirtualBlock_T::~VmaVirtualBlock_T() -{ - // Define macro VMA_DEBUG_LOG_FORMAT to receive the list of the unfreed allocations - if (!m_Metadata->IsEmpty()) - m_Metadata->DebugLogAllAllocations(); - // This is the most important assert in the entire library. - // Hitting it means you have some memory leak - unreleased virtual allocations. - VMA_ASSERT(m_Metadata->IsEmpty() && "Some virtual allocations were not freed before destruction of this virtual block!"); - - vma_delete(GetAllocationCallbacks(), m_Metadata); -} - -const VkAllocationCallbacks* VmaVirtualBlock_T::GetAllocationCallbacks() const -{ - return m_AllocationCallbacksSpecified ? &m_AllocationCallbacks : VMA_NULL; -} - -void VmaVirtualBlock_T::GetAllocationInfo(VmaVirtualAllocation allocation, VmaVirtualAllocationInfo& outInfo) -{ - m_Metadata->GetAllocationInfo((VmaAllocHandle)allocation, outInfo); -} - -VkResult VmaVirtualBlock_T::Allocate(const VmaVirtualAllocationCreateInfo& createInfo, VmaVirtualAllocation& outAllocation, - VkDeviceSize* outOffset) -{ - VmaAllocationRequest request = {}; - if (m_Metadata->CreateAllocationRequest( - createInfo.size, // allocSize - VMA_MAX(createInfo.alignment, (VkDeviceSize)1), // allocAlignment - (createInfo.flags & VMA_VIRTUAL_ALLOCATION_CREATE_UPPER_ADDRESS_BIT) != 0, // upperAddress - VMA_SUBALLOCATION_TYPE_UNKNOWN, // allocType - unimportant - createInfo.flags & VMA_VIRTUAL_ALLOCATION_CREATE_STRATEGY_MASK, // strategy - &request)) - { - m_Metadata->Alloc(request, - VMA_SUBALLOCATION_TYPE_UNKNOWN, // type - unimportant - createInfo.pUserData); - outAllocation = (VmaVirtualAllocation)request.allocHandle; - if(outOffset) - *outOffset = m_Metadata->GetAllocationOffset(request.allocHandle); - return VK_SUCCESS; - } - outAllocation = (VmaVirtualAllocation)VK_NULL_HANDLE; - if (outOffset) - *outOffset = UINT64_MAX; - return VK_ERROR_OUT_OF_DEVICE_MEMORY; -} - -void VmaVirtualBlock_T::GetStatistics(VmaStatistics& outStats) const -{ - VmaClearStatistics(outStats); - m_Metadata->AddStatistics(outStats); -} - -void VmaVirtualBlock_T::CalculateDetailedStatistics(VmaDetailedStatistics& outStats) const -{ - VmaClearDetailedStatistics(outStats); - m_Metadata->AddDetailedStatistics(outStats); -} - -#if VMA_STATS_STRING_ENABLED -void VmaVirtualBlock_T::BuildStatsString(bool detailedMap, VmaStringBuilder& sb) const -{ - VmaJsonWriter json(GetAllocationCallbacks(), sb); - json.BeginObject(); - - VmaDetailedStatistics stats; - CalculateDetailedStatistics(stats); - - json.WriteString("Stats"); - VmaPrintDetailedStatistics(json, stats); - - if (detailedMap) - { - json.WriteString("Details"); - json.BeginObject(); - m_Metadata->PrintDetailedMap(json); - json.EndObject(); - } - - json.EndObject(); -} -#endif // VMA_STATS_STRING_ENABLED -#endif // _VMA_VIRTUAL_BLOCK_T_FUNCTIONS -#endif // _VMA_VIRTUAL_BLOCK_T - - -// Main allocator object. -struct VmaAllocator_T -{ - VMA_CLASS_NO_COPY_NO_MOVE(VmaAllocator_T) -public: - bool m_UseMutex; - uint32_t m_VulkanApiVersion; - bool m_UseKhrDedicatedAllocation; // Can be set only if m_VulkanApiVersion < VK_MAKE_VERSION(1, 1, 0). - bool m_UseKhrBindMemory2; // Can be set only if m_VulkanApiVersion < VK_MAKE_VERSION(1, 1, 0). - bool m_UseExtMemoryBudget; - bool m_UseAmdDeviceCoherentMemory; - bool m_UseKhrBufferDeviceAddress; - bool m_UseExtMemoryPriority; - VkDevice m_hDevice; - VkInstance m_hInstance; - bool m_AllocationCallbacksSpecified; - VkAllocationCallbacks m_AllocationCallbacks; - VmaDeviceMemoryCallbacks m_DeviceMemoryCallbacks; - VmaAllocationObjectAllocator m_AllocationObjectAllocator; - - // Each bit (1 << i) is set if HeapSizeLimit is enabled for that heap, so cannot allocate more than the heap size. - uint32_t m_HeapSizeLimitMask; - - VkPhysicalDeviceProperties m_PhysicalDeviceProperties; - VkPhysicalDeviceMemoryProperties m_MemProps; - - // Default pools. - VmaBlockVector* m_pBlockVectors[VK_MAX_MEMORY_TYPES]; - VmaDedicatedAllocationList m_DedicatedAllocations[VK_MAX_MEMORY_TYPES]; - - VmaCurrentBudgetData m_Budget; - VMA_ATOMIC_UINT32 m_DeviceMemoryCount; // Total number of VkDeviceMemory objects. - - VmaAllocator_T(const VmaAllocatorCreateInfo* pCreateInfo); - VkResult Init(const VmaAllocatorCreateInfo* pCreateInfo); - ~VmaAllocator_T(); - - const VkAllocationCallbacks* GetAllocationCallbacks() const - { - return m_AllocationCallbacksSpecified ? &m_AllocationCallbacks : VMA_NULL; - } - const VmaVulkanFunctions& GetVulkanFunctions() const - { - return m_VulkanFunctions; - } - - VkPhysicalDevice GetPhysicalDevice() const { return m_PhysicalDevice; } - - VkDeviceSize GetBufferImageGranularity() const - { - return VMA_MAX( - static_cast(VMA_DEBUG_MIN_BUFFER_IMAGE_GRANULARITY), - m_PhysicalDeviceProperties.limits.bufferImageGranularity); - } - - uint32_t GetMemoryHeapCount() const { return m_MemProps.memoryHeapCount; } - uint32_t GetMemoryTypeCount() const { return m_MemProps.memoryTypeCount; } - - uint32_t MemoryTypeIndexToHeapIndex(uint32_t memTypeIndex) const - { - VMA_ASSERT(memTypeIndex < m_MemProps.memoryTypeCount); - return m_MemProps.memoryTypes[memTypeIndex].heapIndex; - } - // True when specific memory type is HOST_VISIBLE but not HOST_COHERENT. - bool IsMemoryTypeNonCoherent(uint32_t memTypeIndex) const - { - return (m_MemProps.memoryTypes[memTypeIndex].propertyFlags & (VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT | VK_MEMORY_PROPERTY_HOST_COHERENT_BIT)) == - VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT; - } - // Minimum alignment for all allocations in specific memory type. - VkDeviceSize GetMemoryTypeMinAlignment(uint32_t memTypeIndex) const - { - return IsMemoryTypeNonCoherent(memTypeIndex) ? - VMA_MAX((VkDeviceSize)VMA_MIN_ALIGNMENT, m_PhysicalDeviceProperties.limits.nonCoherentAtomSize) : - (VkDeviceSize)VMA_MIN_ALIGNMENT; - } - - bool IsIntegratedGpu() const - { - return m_PhysicalDeviceProperties.deviceType == VK_PHYSICAL_DEVICE_TYPE_INTEGRATED_GPU; - } - - uint32_t GetGlobalMemoryTypeBits() const { return m_GlobalMemoryTypeBits; } - - void GetBufferMemoryRequirements( - VkBuffer hBuffer, - VkMemoryRequirements& memReq, - bool& requiresDedicatedAllocation, - bool& prefersDedicatedAllocation) const; - void GetImageMemoryRequirements( - VkImage hImage, - VkMemoryRequirements& memReq, - bool& requiresDedicatedAllocation, - bool& prefersDedicatedAllocation) const; - VkResult FindMemoryTypeIndex( - uint32_t memoryTypeBits, - const VmaAllocationCreateInfo* pAllocationCreateInfo, - VkFlags bufImgUsage, // VkBufferCreateInfo::usage or VkImageCreateInfo::usage. UINT32_MAX if unknown. - uint32_t* pMemoryTypeIndex) const; - - // Main allocation function. - VkResult AllocateMemory( - const VkMemoryRequirements& vkMemReq, - bool requiresDedicatedAllocation, - bool prefersDedicatedAllocation, - VkBuffer dedicatedBuffer, - VkImage dedicatedImage, - VkFlags dedicatedBufferImageUsage, // UINT32_MAX if unknown. - const VmaAllocationCreateInfo& createInfo, - VmaSuballocationType suballocType, - size_t allocationCount, - VmaAllocation* pAllocations); - - // Main deallocation function. - void FreeMemory( - size_t allocationCount, - const VmaAllocation* pAllocations); - - void CalculateStatistics(VmaTotalStatistics* pStats); - - void GetHeapBudgets( - VmaBudget* outBudgets, uint32_t firstHeap, uint32_t heapCount); - -#if VMA_STATS_STRING_ENABLED - void PrintDetailedMap(class VmaJsonWriter& json); -#endif - - void GetAllocationInfo(VmaAllocation hAllocation, VmaAllocationInfo* pAllocationInfo); - - VkResult CreatePool(const VmaPoolCreateInfo* pCreateInfo, VmaPool* pPool); - void DestroyPool(VmaPool pool); - void GetPoolStatistics(VmaPool pool, VmaStatistics* pPoolStats); - void CalculatePoolStatistics(VmaPool pool, VmaDetailedStatistics* pPoolStats); - - void SetCurrentFrameIndex(uint32_t frameIndex); - uint32_t GetCurrentFrameIndex() const { return m_CurrentFrameIndex.load(); } - - VkResult CheckPoolCorruption(VmaPool hPool); - VkResult CheckCorruption(uint32_t memoryTypeBits); - - // Call to Vulkan function vkAllocateMemory with accompanying bookkeeping. - VkResult AllocateVulkanMemory(const VkMemoryAllocateInfo* pAllocateInfo, VkDeviceMemory* pMemory); - // Call to Vulkan function vkFreeMemory with accompanying bookkeeping. - void FreeVulkanMemory(uint32_t memoryType, VkDeviceSize size, VkDeviceMemory hMemory); - // Call to Vulkan function vkBindBufferMemory or vkBindBufferMemory2KHR. - VkResult BindVulkanBuffer( - VkDeviceMemory memory, - VkDeviceSize memoryOffset, - VkBuffer buffer, - const void* pNext); - // Call to Vulkan function vkBindImageMemory or vkBindImageMemory2KHR. - VkResult BindVulkanImage( - VkDeviceMemory memory, - VkDeviceSize memoryOffset, - VkImage image, - const void* pNext); - - VkResult Map(VmaAllocation hAllocation, void** ppData); - void Unmap(VmaAllocation hAllocation); - - VkResult BindBufferMemory( - VmaAllocation hAllocation, - VkDeviceSize allocationLocalOffset, - VkBuffer hBuffer, - const void* pNext); - VkResult BindImageMemory( - VmaAllocation hAllocation, - VkDeviceSize allocationLocalOffset, - VkImage hImage, - const void* pNext); - - VkResult FlushOrInvalidateAllocation( - VmaAllocation hAllocation, - VkDeviceSize offset, VkDeviceSize size, - VMA_CACHE_OPERATION op); - VkResult FlushOrInvalidateAllocations( - uint32_t allocationCount, - const VmaAllocation* allocations, - const VkDeviceSize* offsets, const VkDeviceSize* sizes, - VMA_CACHE_OPERATION op); - - void FillAllocation(const VmaAllocation hAllocation, uint8_t pattern); - - /* - Returns bit mask of memory types that can support defragmentation on GPU as - they support creation of required buffer for copy operations. - */ - uint32_t GetGpuDefragmentationMemoryTypeBits(); - -#if VMA_EXTERNAL_MEMORY - VkExternalMemoryHandleTypeFlagsKHR GetExternalMemoryHandleTypeFlags(uint32_t memTypeIndex) const - { - return m_TypeExternalMemoryHandleTypes[memTypeIndex]; - } -#endif // #if VMA_EXTERNAL_MEMORY - -private: - VkDeviceSize m_PreferredLargeHeapBlockSize; - - VkPhysicalDevice m_PhysicalDevice; - VMA_ATOMIC_UINT32 m_CurrentFrameIndex; - VMA_ATOMIC_UINT32 m_GpuDefragmentationMemoryTypeBits; // UINT32_MAX means uninitialized. -#if VMA_EXTERNAL_MEMORY - VkExternalMemoryHandleTypeFlagsKHR m_TypeExternalMemoryHandleTypes[VK_MAX_MEMORY_TYPES]; -#endif // #if VMA_EXTERNAL_MEMORY - - VMA_RW_MUTEX m_PoolsMutex; - typedef VmaIntrusiveLinkedList PoolList; - // Protected by m_PoolsMutex. - PoolList m_Pools; - uint32_t m_NextPoolId; - - VmaVulkanFunctions m_VulkanFunctions; - - // Global bit mask AND-ed with any memoryTypeBits to disallow certain memory types. - uint32_t m_GlobalMemoryTypeBits; - - void ImportVulkanFunctions(const VmaVulkanFunctions* pVulkanFunctions); - -#if VMA_STATIC_VULKAN_FUNCTIONS == 1 - void ImportVulkanFunctions_Static(); -#endif - - void ImportVulkanFunctions_Custom(const VmaVulkanFunctions* pVulkanFunctions); - -#if VMA_DYNAMIC_VULKAN_FUNCTIONS == 1 - void ImportVulkanFunctions_Dynamic(); -#endif - - void ValidateVulkanFunctions(); - - VkDeviceSize CalcPreferredBlockSize(uint32_t memTypeIndex); - - VkResult AllocateMemoryOfType( - VmaPool pool, - VkDeviceSize size, - VkDeviceSize alignment, - bool dedicatedPreferred, - VkBuffer dedicatedBuffer, - VkImage dedicatedImage, - VkFlags dedicatedBufferImageUsage, - const VmaAllocationCreateInfo& createInfo, - uint32_t memTypeIndex, - VmaSuballocationType suballocType, - VmaDedicatedAllocationList& dedicatedAllocations, - VmaBlockVector& blockVector, - size_t allocationCount, - VmaAllocation* pAllocations); - - // Helper function only to be used inside AllocateDedicatedMemory. - VkResult AllocateDedicatedMemoryPage( - VmaPool pool, - VkDeviceSize size, - VmaSuballocationType suballocType, - uint32_t memTypeIndex, - const VkMemoryAllocateInfo& allocInfo, - bool map, - bool isUserDataString, - bool isMappingAllowed, - void* pUserData, - VmaAllocation* pAllocation); - - // Allocates and registers new VkDeviceMemory specifically for dedicated allocations. - VkResult AllocateDedicatedMemory( - VmaPool pool, - VkDeviceSize size, - VmaSuballocationType suballocType, - VmaDedicatedAllocationList& dedicatedAllocations, - uint32_t memTypeIndex, - bool map, - bool isUserDataString, - bool isMappingAllowed, - bool canAliasMemory, - void* pUserData, - float priority, - VkBuffer dedicatedBuffer, - VkImage dedicatedImage, - VkFlags dedicatedBufferImageUsage, - size_t allocationCount, - VmaAllocation* pAllocations, - const void* pNextChain = nullptr); - - void FreeDedicatedMemory(const VmaAllocation allocation); - - VkResult CalcMemTypeParams( - VmaAllocationCreateInfo& outCreateInfo, - uint32_t memTypeIndex, - VkDeviceSize size, - size_t allocationCount); - VkResult CalcAllocationParams( - VmaAllocationCreateInfo& outCreateInfo, - bool dedicatedRequired, - bool dedicatedPreferred); - - /* - Calculates and returns bit mask of memory types that can support defragmentation - on GPU as they support creation of required buffer for copy operations. - */ - uint32_t CalculateGpuDefragmentationMemoryTypeBits() const; - uint32_t CalculateGlobalMemoryTypeBits() const; - - bool GetFlushOrInvalidateRange( - VmaAllocation allocation, - VkDeviceSize offset, VkDeviceSize size, - VkMappedMemoryRange& outRange) const; - -#if VMA_MEMORY_BUDGET - void UpdateVulkanBudget(); -#endif // #if VMA_MEMORY_BUDGET -}; - - -#ifndef _VMA_MEMORY_FUNCTIONS -static void* VmaMalloc(VmaAllocator hAllocator, size_t size, size_t alignment) -{ - return VmaMalloc(&hAllocator->m_AllocationCallbacks, size, alignment); -} - -static void VmaFree(VmaAllocator hAllocator, void* ptr) -{ - VmaFree(&hAllocator->m_AllocationCallbacks, ptr); -} - -template -static T* VmaAllocate(VmaAllocator hAllocator) -{ - return (T*)VmaMalloc(hAllocator, sizeof(T), VMA_ALIGN_OF(T)); -} - -template -static T* VmaAllocateArray(VmaAllocator hAllocator, size_t count) -{ - return (T*)VmaMalloc(hAllocator, sizeof(T) * count, VMA_ALIGN_OF(T)); -} - -template -static void vma_delete(VmaAllocator hAllocator, T* ptr) -{ - if(ptr != VMA_NULL) - { - ptr->~T(); - VmaFree(hAllocator, ptr); - } -} - -template -static void vma_delete_array(VmaAllocator hAllocator, T* ptr, size_t count) -{ - if(ptr != VMA_NULL) - { - for(size_t i = count; i--; ) - ptr[i].~T(); - VmaFree(hAllocator, ptr); - } -} -#endif // _VMA_MEMORY_FUNCTIONS - -#ifndef _VMA_DEVICE_MEMORY_BLOCK_FUNCTIONS -VmaDeviceMemoryBlock::VmaDeviceMemoryBlock(VmaAllocator hAllocator) - : m_pMetadata(VMA_NULL), - m_MemoryTypeIndex(UINT32_MAX), - m_Id(0), - m_hMemory(VK_NULL_HANDLE), - m_MapCount(0), - m_pMappedData(VMA_NULL) {} - -VmaDeviceMemoryBlock::~VmaDeviceMemoryBlock() -{ - VMA_ASSERT(m_MapCount == 0 && "VkDeviceMemory block is being destroyed while it is still mapped."); - VMA_ASSERT(m_hMemory == VK_NULL_HANDLE); -} - -void VmaDeviceMemoryBlock::Init( - VmaAllocator hAllocator, - VmaPool hParentPool, - uint32_t newMemoryTypeIndex, - VkDeviceMemory newMemory, - VkDeviceSize newSize, - uint32_t id, - uint32_t algorithm, - VkDeviceSize bufferImageGranularity) -{ - VMA_ASSERT(m_hMemory == VK_NULL_HANDLE); - - m_hParentPool = hParentPool; - m_MemoryTypeIndex = newMemoryTypeIndex; - m_Id = id; - m_hMemory = newMemory; - - switch (algorithm) - { - case 0: - m_pMetadata = vma_new(hAllocator, VmaBlockMetadata_TLSF)(hAllocator->GetAllocationCallbacks(), - bufferImageGranularity, false); // isVirtual - break; - case VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT: - m_pMetadata = vma_new(hAllocator, VmaBlockMetadata_Linear)(hAllocator->GetAllocationCallbacks(), - bufferImageGranularity, false); // isVirtual - break; - default: - VMA_ASSERT(0); - m_pMetadata = vma_new(hAllocator, VmaBlockMetadata_TLSF)(hAllocator->GetAllocationCallbacks(), - bufferImageGranularity, false); // isVirtual - } - m_pMetadata->Init(newSize); -} - -void VmaDeviceMemoryBlock::Destroy(VmaAllocator allocator) -{ - // Define macro VMA_DEBUG_LOG_FORMAT to receive the list of the unfreed allocations - if (!m_pMetadata->IsEmpty()) - m_pMetadata->DebugLogAllAllocations(); - // This is the most important assert in the entire library. - // Hitting it means you have some memory leak - unreleased VmaAllocation objects. - VMA_ASSERT(m_pMetadata->IsEmpty() && "Some allocations were not freed before destruction of this memory block!"); - - VMA_ASSERT(m_hMemory != VK_NULL_HANDLE); - allocator->FreeVulkanMemory(m_MemoryTypeIndex, m_pMetadata->GetSize(), m_hMemory); - m_hMemory = VK_NULL_HANDLE; - - vma_delete(allocator, m_pMetadata); - m_pMetadata = VMA_NULL; -} - -void VmaDeviceMemoryBlock::PostAlloc(VmaAllocator hAllocator) -{ - VmaMutexLock lock(m_MapAndBindMutex, hAllocator->m_UseMutex); - m_MappingHysteresis.PostAlloc(); -} - -void VmaDeviceMemoryBlock::PostFree(VmaAllocator hAllocator) -{ - VmaMutexLock lock(m_MapAndBindMutex, hAllocator->m_UseMutex); - if(m_MappingHysteresis.PostFree()) - { - VMA_ASSERT(m_MappingHysteresis.GetExtraMapping() == 0); - if (m_MapCount == 0) - { - m_pMappedData = VMA_NULL; - (*hAllocator->GetVulkanFunctions().vkUnmapMemory)(hAllocator->m_hDevice, m_hMemory); - } - } -} - -bool VmaDeviceMemoryBlock::Validate() const -{ - VMA_VALIDATE((m_hMemory != VK_NULL_HANDLE) && - (m_pMetadata->GetSize() != 0)); - - return m_pMetadata->Validate(); -} - -VkResult VmaDeviceMemoryBlock::CheckCorruption(VmaAllocator hAllocator) -{ - void* pData = nullptr; - VkResult res = Map(hAllocator, 1, &pData); - if (res != VK_SUCCESS) - { - return res; - } - - res = m_pMetadata->CheckCorruption(pData); - - Unmap(hAllocator, 1); - - return res; -} - -VkResult VmaDeviceMemoryBlock::Map(VmaAllocator hAllocator, uint32_t count, void** ppData) -{ - if (count == 0) - { - return VK_SUCCESS; - } - - VmaMutexLock lock(m_MapAndBindMutex, hAllocator->m_UseMutex); - const uint32_t oldTotalMapCount = m_MapCount + m_MappingHysteresis.GetExtraMapping(); - m_MappingHysteresis.PostMap(); - if (oldTotalMapCount != 0) - { - m_MapCount += count; - VMA_ASSERT(m_pMappedData != VMA_NULL); - if (ppData != VMA_NULL) - { - *ppData = m_pMappedData; - } - return VK_SUCCESS; - } - else - { - VkResult result = (*hAllocator->GetVulkanFunctions().vkMapMemory)( - hAllocator->m_hDevice, - m_hMemory, - 0, // offset - VK_WHOLE_SIZE, - 0, // flags - &m_pMappedData); - if (result == VK_SUCCESS) - { - if (ppData != VMA_NULL) - { - *ppData = m_pMappedData; - } - m_MapCount = count; - } - return result; - } -} - -void VmaDeviceMemoryBlock::Unmap(VmaAllocator hAllocator, uint32_t count) -{ - if (count == 0) - { - return; - } - - VmaMutexLock lock(m_MapAndBindMutex, hAllocator->m_UseMutex); - if (m_MapCount >= count) - { - m_MapCount -= count; - const uint32_t totalMapCount = m_MapCount + m_MappingHysteresis.GetExtraMapping(); - if (totalMapCount == 0) - { - m_pMappedData = VMA_NULL; - (*hAllocator->GetVulkanFunctions().vkUnmapMemory)(hAllocator->m_hDevice, m_hMemory); - } - m_MappingHysteresis.PostUnmap(); - } - else - { - VMA_ASSERT(0 && "VkDeviceMemory block is being unmapped while it was not previously mapped."); - } -} - -VkResult VmaDeviceMemoryBlock::WriteMagicValueAfterAllocation(VmaAllocator hAllocator, VkDeviceSize allocOffset, VkDeviceSize allocSize) -{ - VMA_ASSERT(VMA_DEBUG_MARGIN > 0 && VMA_DEBUG_MARGIN % 4 == 0 && VMA_DEBUG_DETECT_CORRUPTION); - - void* pData; - VkResult res = Map(hAllocator, 1, &pData); - if (res != VK_SUCCESS) - { - return res; - } - - VmaWriteMagicValue(pData, allocOffset + allocSize); - - Unmap(hAllocator, 1); - return VK_SUCCESS; -} - -VkResult VmaDeviceMemoryBlock::ValidateMagicValueAfterAllocation(VmaAllocator hAllocator, VkDeviceSize allocOffset, VkDeviceSize allocSize) -{ - VMA_ASSERT(VMA_DEBUG_MARGIN > 0 && VMA_DEBUG_MARGIN % 4 == 0 && VMA_DEBUG_DETECT_CORRUPTION); - - void* pData; - VkResult res = Map(hAllocator, 1, &pData); - if (res != VK_SUCCESS) - { - return res; - } - - if (!VmaValidateMagicValue(pData, allocOffset + allocSize)) - { - VMA_ASSERT(0 && "MEMORY CORRUPTION DETECTED AFTER FREED ALLOCATION!"); - } - - Unmap(hAllocator, 1); - return VK_SUCCESS; -} - -VkResult VmaDeviceMemoryBlock::BindBufferMemory( - const VmaAllocator hAllocator, - const VmaAllocation hAllocation, - VkDeviceSize allocationLocalOffset, - VkBuffer hBuffer, - const void* pNext) -{ - VMA_ASSERT(hAllocation->GetType() == VmaAllocation_T::ALLOCATION_TYPE_BLOCK && - hAllocation->GetBlock() == this); - VMA_ASSERT(allocationLocalOffset < hAllocation->GetSize() && - "Invalid allocationLocalOffset. Did you forget that this offset is relative to the beginning of the allocation, not the whole memory block?"); - const VkDeviceSize memoryOffset = hAllocation->GetOffset() + allocationLocalOffset; - // This lock is important so that we don't call vkBind... and/or vkMap... simultaneously on the same VkDeviceMemory from multiple threads. - VmaMutexLock lock(m_MapAndBindMutex, hAllocator->m_UseMutex); - return hAllocator->BindVulkanBuffer(m_hMemory, memoryOffset, hBuffer, pNext); -} - -VkResult VmaDeviceMemoryBlock::BindImageMemory( - const VmaAllocator hAllocator, - const VmaAllocation hAllocation, - VkDeviceSize allocationLocalOffset, - VkImage hImage, - const void* pNext) -{ - VMA_ASSERT(hAllocation->GetType() == VmaAllocation_T::ALLOCATION_TYPE_BLOCK && - hAllocation->GetBlock() == this); - VMA_ASSERT(allocationLocalOffset < hAllocation->GetSize() && - "Invalid allocationLocalOffset. Did you forget that this offset is relative to the beginning of the allocation, not the whole memory block?"); - const VkDeviceSize memoryOffset = hAllocation->GetOffset() + allocationLocalOffset; - // This lock is important so that we don't call vkBind... and/or vkMap... simultaneously on the same VkDeviceMemory from multiple threads. - VmaMutexLock lock(m_MapAndBindMutex, hAllocator->m_UseMutex); - return hAllocator->BindVulkanImage(m_hMemory, memoryOffset, hImage, pNext); -} -#endif // _VMA_DEVICE_MEMORY_BLOCK_FUNCTIONS - -#ifndef _VMA_ALLOCATION_T_FUNCTIONS -VmaAllocation_T::VmaAllocation_T(bool mappingAllowed) - : m_Alignment{ 1 }, - m_Size{ 0 }, - m_pUserData{ VMA_NULL }, - m_pName{ VMA_NULL }, - m_MemoryTypeIndex{ 0 }, - m_Type{ (uint8_t)ALLOCATION_TYPE_NONE }, - m_SuballocationType{ (uint8_t)VMA_SUBALLOCATION_TYPE_UNKNOWN }, - m_MapCount{ 0 }, - m_Flags{ 0 } -{ - if(mappingAllowed) - m_Flags |= (uint8_t)FLAG_MAPPING_ALLOWED; - -#if VMA_STATS_STRING_ENABLED - m_BufferImageUsage = 0; -#endif -} - -VmaAllocation_T::~VmaAllocation_T() -{ - VMA_ASSERT(m_MapCount == 0 && "Allocation was not unmapped before destruction."); - - // Check if owned string was freed. - VMA_ASSERT(m_pName == VMA_NULL); -} - -void VmaAllocation_T::InitBlockAllocation( - VmaDeviceMemoryBlock* block, - VmaAllocHandle allocHandle, - VkDeviceSize alignment, - VkDeviceSize size, - uint32_t memoryTypeIndex, - VmaSuballocationType suballocationType, - bool mapped) -{ - VMA_ASSERT(m_Type == ALLOCATION_TYPE_NONE); - VMA_ASSERT(block != VMA_NULL); - m_Type = (uint8_t)ALLOCATION_TYPE_BLOCK; - m_Alignment = alignment; - m_Size = size; - m_MemoryTypeIndex = memoryTypeIndex; - if(mapped) - { - VMA_ASSERT(IsMappingAllowed() && "Mapping is not allowed on this allocation! Please use one of the new VMA_ALLOCATION_CREATE_HOST_ACCESS_* flags when creating it."); - m_Flags |= (uint8_t)FLAG_PERSISTENT_MAP; - } - m_SuballocationType = (uint8_t)suballocationType; - m_BlockAllocation.m_Block = block; - m_BlockAllocation.m_AllocHandle = allocHandle; -} - -void VmaAllocation_T::InitDedicatedAllocation( - VmaPool hParentPool, - uint32_t memoryTypeIndex, - VkDeviceMemory hMemory, - VmaSuballocationType suballocationType, - void* pMappedData, - VkDeviceSize size) -{ - VMA_ASSERT(m_Type == ALLOCATION_TYPE_NONE); - VMA_ASSERT(hMemory != VK_NULL_HANDLE); - m_Type = (uint8_t)ALLOCATION_TYPE_DEDICATED; - m_Alignment = 0; - m_Size = size; - m_MemoryTypeIndex = memoryTypeIndex; - m_SuballocationType = (uint8_t)suballocationType; - if(pMappedData != VMA_NULL) - { - VMA_ASSERT(IsMappingAllowed() && "Mapping is not allowed on this allocation! Please use one of the new VMA_ALLOCATION_CREATE_HOST_ACCESS_* flags when creating it."); - m_Flags |= (uint8_t)FLAG_PERSISTENT_MAP; - } - m_DedicatedAllocation.m_hParentPool = hParentPool; - m_DedicatedAllocation.m_hMemory = hMemory; - m_DedicatedAllocation.m_pMappedData = pMappedData; - m_DedicatedAllocation.m_Prev = VMA_NULL; - m_DedicatedAllocation.m_Next = VMA_NULL; -} - -void VmaAllocation_T::SetName(VmaAllocator hAllocator, const char* pName) -{ - VMA_ASSERT(pName == VMA_NULL || pName != m_pName); - - FreeName(hAllocator); - - if (pName != VMA_NULL) - m_pName = VmaCreateStringCopy(hAllocator->GetAllocationCallbacks(), pName); -} - -uint8_t VmaAllocation_T::SwapBlockAllocation(VmaAllocator hAllocator, VmaAllocation allocation) -{ - VMA_ASSERT(allocation != VMA_NULL); - VMA_ASSERT(m_Type == ALLOCATION_TYPE_BLOCK); - VMA_ASSERT(allocation->m_Type == ALLOCATION_TYPE_BLOCK); - - if (m_MapCount != 0) - m_BlockAllocation.m_Block->Unmap(hAllocator, m_MapCount); - - m_BlockAllocation.m_Block->m_pMetadata->SetAllocationUserData(m_BlockAllocation.m_AllocHandle, allocation); - VMA_SWAP(m_BlockAllocation, allocation->m_BlockAllocation); - m_BlockAllocation.m_Block->m_pMetadata->SetAllocationUserData(m_BlockAllocation.m_AllocHandle, this); - -#if VMA_STATS_STRING_ENABLED - VMA_SWAP(m_BufferImageUsage, allocation->m_BufferImageUsage); -#endif - return m_MapCount; -} - -VmaAllocHandle VmaAllocation_T::GetAllocHandle() const -{ - switch (m_Type) - { - case ALLOCATION_TYPE_BLOCK: - return m_BlockAllocation.m_AllocHandle; - case ALLOCATION_TYPE_DEDICATED: - return VK_NULL_HANDLE; - default: - VMA_ASSERT(0); - return VK_NULL_HANDLE; - } -} - -VkDeviceSize VmaAllocation_T::GetOffset() const -{ - switch (m_Type) - { - case ALLOCATION_TYPE_BLOCK: - return m_BlockAllocation.m_Block->m_pMetadata->GetAllocationOffset(m_BlockAllocation.m_AllocHandle); - case ALLOCATION_TYPE_DEDICATED: - return 0; - default: - VMA_ASSERT(0); - return 0; - } -} - -VmaPool VmaAllocation_T::GetParentPool() const -{ - switch (m_Type) - { - case ALLOCATION_TYPE_BLOCK: - return m_BlockAllocation.m_Block->GetParentPool(); - case ALLOCATION_TYPE_DEDICATED: - return m_DedicatedAllocation.m_hParentPool; - default: - VMA_ASSERT(0); - return VK_NULL_HANDLE; - } -} - -VkDeviceMemory VmaAllocation_T::GetMemory() const -{ - switch (m_Type) - { - case ALLOCATION_TYPE_BLOCK: - return m_BlockAllocation.m_Block->GetDeviceMemory(); - case ALLOCATION_TYPE_DEDICATED: - return m_DedicatedAllocation.m_hMemory; - default: - VMA_ASSERT(0); - return VK_NULL_HANDLE; - } -} - -void* VmaAllocation_T::GetMappedData() const -{ - switch (m_Type) - { - case ALLOCATION_TYPE_BLOCK: - if (m_MapCount != 0 || IsPersistentMap()) - { - void* pBlockData = m_BlockAllocation.m_Block->GetMappedData(); - VMA_ASSERT(pBlockData != VMA_NULL); - return (char*)pBlockData + GetOffset(); - } - else - { - return VMA_NULL; - } - break; - case ALLOCATION_TYPE_DEDICATED: - VMA_ASSERT((m_DedicatedAllocation.m_pMappedData != VMA_NULL) == (m_MapCount != 0 || IsPersistentMap())); - return m_DedicatedAllocation.m_pMappedData; - default: - VMA_ASSERT(0); - return VMA_NULL; - } -} - -void VmaAllocation_T::BlockAllocMap() -{ - VMA_ASSERT(GetType() == ALLOCATION_TYPE_BLOCK); - VMA_ASSERT(IsMappingAllowed() && "Mapping is not allowed on this allocation! Please use one of the new VMA_ALLOCATION_CREATE_HOST_ACCESS_* flags when creating it."); - - if (m_MapCount < 0xFF) - { - ++m_MapCount; - } - else - { - VMA_ASSERT(0 && "Allocation mapped too many times simultaneously."); - } -} - -void VmaAllocation_T::BlockAllocUnmap() -{ - VMA_ASSERT(GetType() == ALLOCATION_TYPE_BLOCK); - - if (m_MapCount > 0) - { - --m_MapCount; - } - else - { - VMA_ASSERT(0 && "Unmapping allocation not previously mapped."); - } -} - -VkResult VmaAllocation_T::DedicatedAllocMap(VmaAllocator hAllocator, void** ppData) -{ - VMA_ASSERT(GetType() == ALLOCATION_TYPE_DEDICATED); - VMA_ASSERT(IsMappingAllowed() && "Mapping is not allowed on this allocation! Please use one of the new VMA_ALLOCATION_CREATE_HOST_ACCESS_* flags when creating it."); - - if (m_MapCount != 0 || IsPersistentMap()) - { - if (m_MapCount < 0xFF) - { - VMA_ASSERT(m_DedicatedAllocation.m_pMappedData != VMA_NULL); - *ppData = m_DedicatedAllocation.m_pMappedData; - ++m_MapCount; - return VK_SUCCESS; - } - else - { - VMA_ASSERT(0 && "Dedicated allocation mapped too many times simultaneously."); - return VK_ERROR_MEMORY_MAP_FAILED; - } - } - else - { - VkResult result = (*hAllocator->GetVulkanFunctions().vkMapMemory)( - hAllocator->m_hDevice, - m_DedicatedAllocation.m_hMemory, - 0, // offset - VK_WHOLE_SIZE, - 0, // flags - ppData); - if (result == VK_SUCCESS) - { - m_DedicatedAllocation.m_pMappedData = *ppData; - m_MapCount = 1; - } - return result; - } -} - -void VmaAllocation_T::DedicatedAllocUnmap(VmaAllocator hAllocator) -{ - VMA_ASSERT(GetType() == ALLOCATION_TYPE_DEDICATED); - - if (m_MapCount > 0) - { - --m_MapCount; - if (m_MapCount == 0 && !IsPersistentMap()) - { - m_DedicatedAllocation.m_pMappedData = VMA_NULL; - (*hAllocator->GetVulkanFunctions().vkUnmapMemory)( - hAllocator->m_hDevice, - m_DedicatedAllocation.m_hMemory); - } - } - else - { - VMA_ASSERT(0 && "Unmapping dedicated allocation not previously mapped."); - } -} - -#if VMA_STATS_STRING_ENABLED -void VmaAllocation_T::InitBufferImageUsage(uint32_t bufferImageUsage) -{ - VMA_ASSERT(m_BufferImageUsage == 0); - m_BufferImageUsage = bufferImageUsage; -} - -void VmaAllocation_T::PrintParameters(class VmaJsonWriter& json) const -{ - json.WriteString("Type"); - json.WriteString(VMA_SUBALLOCATION_TYPE_NAMES[m_SuballocationType]); - - json.WriteString("Size"); - json.WriteNumber(m_Size); - json.WriteString("Usage"); - json.WriteNumber(m_BufferImageUsage); - - if (m_pUserData != VMA_NULL) - { - json.WriteString("CustomData"); - json.BeginString(); - json.ContinueString_Pointer(m_pUserData); - json.EndString(); - } - if (m_pName != VMA_NULL) - { - json.WriteString("Name"); - json.WriteString(m_pName); - } -} -#endif // VMA_STATS_STRING_ENABLED - -void VmaAllocation_T::FreeName(VmaAllocator hAllocator) -{ - if(m_pName) - { - VmaFreeString(hAllocator->GetAllocationCallbacks(), m_pName); - m_pName = VMA_NULL; - } -} -#endif // _VMA_ALLOCATION_T_FUNCTIONS - -#ifndef _VMA_BLOCK_VECTOR_FUNCTIONS -VmaBlockVector::VmaBlockVector( - VmaAllocator hAllocator, - VmaPool hParentPool, - uint32_t memoryTypeIndex, - VkDeviceSize preferredBlockSize, - size_t minBlockCount, - size_t maxBlockCount, - VkDeviceSize bufferImageGranularity, - bool explicitBlockSize, - uint32_t algorithm, - float priority, - VkDeviceSize minAllocationAlignment, - void* pMemoryAllocateNext) - : m_hAllocator(hAllocator), - m_hParentPool(hParentPool), - m_MemoryTypeIndex(memoryTypeIndex), - m_PreferredBlockSize(preferredBlockSize), - m_MinBlockCount(minBlockCount), - m_MaxBlockCount(maxBlockCount), - m_BufferImageGranularity(bufferImageGranularity), - m_ExplicitBlockSize(explicitBlockSize), - m_Algorithm(algorithm), - m_Priority(priority), - m_MinAllocationAlignment(minAllocationAlignment), - m_pMemoryAllocateNext(pMemoryAllocateNext), - m_Blocks(VmaStlAllocator(hAllocator->GetAllocationCallbacks())), - m_NextBlockId(0) {} - -VmaBlockVector::~VmaBlockVector() -{ - for (size_t i = m_Blocks.size(); i--; ) - { - m_Blocks[i]->Destroy(m_hAllocator); - vma_delete(m_hAllocator, m_Blocks[i]); - } -} - -VkResult VmaBlockVector::CreateMinBlocks() -{ - for (size_t i = 0; i < m_MinBlockCount; ++i) - { - VkResult res = CreateBlock(m_PreferredBlockSize, VMA_NULL); - if (res != VK_SUCCESS) - { - return res; - } - } - return VK_SUCCESS; -} - -void VmaBlockVector::AddStatistics(VmaStatistics& inoutStats) -{ - VmaMutexLockRead lock(m_Mutex, m_hAllocator->m_UseMutex); - - const size_t blockCount = m_Blocks.size(); - for (uint32_t blockIndex = 0; blockIndex < blockCount; ++blockIndex) - { - const VmaDeviceMemoryBlock* const pBlock = m_Blocks[blockIndex]; - VMA_ASSERT(pBlock); - VMA_HEAVY_ASSERT(pBlock->Validate()); - pBlock->m_pMetadata->AddStatistics(inoutStats); - } -} - -void VmaBlockVector::AddDetailedStatistics(VmaDetailedStatistics& inoutStats) -{ - VmaMutexLockRead lock(m_Mutex, m_hAllocator->m_UseMutex); - - const size_t blockCount = m_Blocks.size(); - for (uint32_t blockIndex = 0; blockIndex < blockCount; ++blockIndex) - { - const VmaDeviceMemoryBlock* const pBlock = m_Blocks[blockIndex]; - VMA_ASSERT(pBlock); - VMA_HEAVY_ASSERT(pBlock->Validate()); - pBlock->m_pMetadata->AddDetailedStatistics(inoutStats); - } -} - -bool VmaBlockVector::IsEmpty() -{ - VmaMutexLockRead lock(m_Mutex, m_hAllocator->m_UseMutex); - return m_Blocks.empty(); -} - -bool VmaBlockVector::IsCorruptionDetectionEnabled() const -{ - const uint32_t requiredMemFlags = VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT | VK_MEMORY_PROPERTY_HOST_COHERENT_BIT; - return (VMA_DEBUG_DETECT_CORRUPTION != 0) && - (VMA_DEBUG_MARGIN > 0) && - (m_Algorithm == 0 || m_Algorithm == VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT) && - (m_hAllocator->m_MemProps.memoryTypes[m_MemoryTypeIndex].propertyFlags & requiredMemFlags) == requiredMemFlags; -} - -VkResult VmaBlockVector::Allocate( - VkDeviceSize size, - VkDeviceSize alignment, - const VmaAllocationCreateInfo& createInfo, - VmaSuballocationType suballocType, - size_t allocationCount, - VmaAllocation* pAllocations) -{ - size_t allocIndex; - VkResult res = VK_SUCCESS; - - alignment = VMA_MAX(alignment, m_MinAllocationAlignment); - - if (IsCorruptionDetectionEnabled()) - { - size = VmaAlignUp(size, sizeof(VMA_CORRUPTION_DETECTION_MAGIC_VALUE)); - alignment = VmaAlignUp(alignment, sizeof(VMA_CORRUPTION_DETECTION_MAGIC_VALUE)); - } - - { - VmaMutexLockWrite lock(m_Mutex, m_hAllocator->m_UseMutex); - for (allocIndex = 0; allocIndex < allocationCount; ++allocIndex) - { - res = AllocatePage( - size, - alignment, - createInfo, - suballocType, - pAllocations + allocIndex); - if (res != VK_SUCCESS) - { - break; - } - } - } - - if (res != VK_SUCCESS) - { - // Free all already created allocations. - while (allocIndex--) - Free(pAllocations[allocIndex]); - memset(pAllocations, 0, sizeof(VmaAllocation) * allocationCount); - } - - return res; -} - -VkResult VmaBlockVector::AllocatePage( - VkDeviceSize size, - VkDeviceSize alignment, - const VmaAllocationCreateInfo& createInfo, - VmaSuballocationType suballocType, - VmaAllocation* pAllocation) -{ - const bool isUpperAddress = (createInfo.flags & VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT) != 0; - - VkDeviceSize freeMemory; - { - const uint32_t heapIndex = m_hAllocator->MemoryTypeIndexToHeapIndex(m_MemoryTypeIndex); - VmaBudget heapBudget = {}; - m_hAllocator->GetHeapBudgets(&heapBudget, heapIndex, 1); - freeMemory = (heapBudget.usage < heapBudget.budget) ? (heapBudget.budget - heapBudget.usage) : 0; - } - - const bool canFallbackToDedicated = !HasExplicitBlockSize() && - (createInfo.flags & VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT) == 0; - const bool canCreateNewBlock = - ((createInfo.flags & VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT) == 0) && - (m_Blocks.size() < m_MaxBlockCount) && - (freeMemory >= size || !canFallbackToDedicated); - uint32_t strategy = createInfo.flags & VMA_ALLOCATION_CREATE_STRATEGY_MASK; - - // Upper address can only be used with linear allocator and within single memory block. - if (isUpperAddress && - (m_Algorithm != VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT || m_MaxBlockCount > 1)) - { - return VK_ERROR_FEATURE_NOT_PRESENT; - } - - // Early reject: requested allocation size is larger that maximum block size for this block vector. - if (size + VMA_DEBUG_MARGIN > m_PreferredBlockSize) - { - return VK_ERROR_OUT_OF_DEVICE_MEMORY; - } - - // 1. Search existing allocations. Try to allocate. - if (m_Algorithm == VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT) - { - // Use only last block. - if (!m_Blocks.empty()) - { - VmaDeviceMemoryBlock* const pCurrBlock = m_Blocks.back(); - VMA_ASSERT(pCurrBlock); - VkResult res = AllocateFromBlock( - pCurrBlock, size, alignment, createInfo.flags, createInfo.pUserData, suballocType, strategy, pAllocation); - if (res == VK_SUCCESS) - { - VMA_DEBUG_LOG_FORMAT(" Returned from last block #%u", pCurrBlock->GetId()); - IncrementallySortBlocks(); - return VK_SUCCESS; - } - } - } - else - { - if (strategy != VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT) // MIN_MEMORY or default - { - const bool isHostVisible = - (m_hAllocator->m_MemProps.memoryTypes[m_MemoryTypeIndex].propertyFlags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) != 0; - if(isHostVisible) - { - const bool isMappingAllowed = (createInfo.flags & - (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0; - /* - For non-mappable allocations, check blocks that are not mapped first. - For mappable allocations, check blocks that are already mapped first. - This way, having many blocks, we will separate mappable and non-mappable allocations, - hopefully limiting the number of blocks that are mapped, which will help tools like RenderDoc. - */ - for(size_t mappingI = 0; mappingI < 2; ++mappingI) - { - // Forward order in m_Blocks - prefer blocks with smallest amount of free space. - for (size_t blockIndex = 0; blockIndex < m_Blocks.size(); ++blockIndex) - { - VmaDeviceMemoryBlock* const pCurrBlock = m_Blocks[blockIndex]; - VMA_ASSERT(pCurrBlock); - const bool isBlockMapped = pCurrBlock->GetMappedData() != VMA_NULL; - if((mappingI == 0) == (isMappingAllowed == isBlockMapped)) - { - VkResult res = AllocateFromBlock( - pCurrBlock, size, alignment, createInfo.flags, createInfo.pUserData, suballocType, strategy, pAllocation); - if (res == VK_SUCCESS) - { - VMA_DEBUG_LOG_FORMAT(" Returned from existing block #%u", pCurrBlock->GetId()); - IncrementallySortBlocks(); - return VK_SUCCESS; - } - } - } - } - } - else - { - // Forward order in m_Blocks - prefer blocks with smallest amount of free space. - for (size_t blockIndex = 0; blockIndex < m_Blocks.size(); ++blockIndex) - { - VmaDeviceMemoryBlock* const pCurrBlock = m_Blocks[blockIndex]; - VMA_ASSERT(pCurrBlock); - VkResult res = AllocateFromBlock( - pCurrBlock, size, alignment, createInfo.flags, createInfo.pUserData, suballocType, strategy, pAllocation); - if (res == VK_SUCCESS) - { - VMA_DEBUG_LOG_FORMAT(" Returned from existing block #%u", pCurrBlock->GetId()); - IncrementallySortBlocks(); - return VK_SUCCESS; - } - } - } - } - else // VMA_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT - { - // Backward order in m_Blocks - prefer blocks with largest amount of free space. - for (size_t blockIndex = m_Blocks.size(); blockIndex--; ) - { - VmaDeviceMemoryBlock* const pCurrBlock = m_Blocks[blockIndex]; - VMA_ASSERT(pCurrBlock); - VkResult res = AllocateFromBlock(pCurrBlock, size, alignment, createInfo.flags, createInfo.pUserData, suballocType, strategy, pAllocation); - if (res == VK_SUCCESS) - { - VMA_DEBUG_LOG_FORMAT(" Returned from existing block #%u", pCurrBlock->GetId()); - IncrementallySortBlocks(); - return VK_SUCCESS; - } - } - } - } - - // 2. Try to create new block. - if (canCreateNewBlock) - { - // Calculate optimal size for new block. - VkDeviceSize newBlockSize = m_PreferredBlockSize; - uint32_t newBlockSizeShift = 0; - const uint32_t NEW_BLOCK_SIZE_SHIFT_MAX = 3; - - if (!m_ExplicitBlockSize) - { - // Allocate 1/8, 1/4, 1/2 as first blocks. - const VkDeviceSize maxExistingBlockSize = CalcMaxBlockSize(); - for (uint32_t i = 0; i < NEW_BLOCK_SIZE_SHIFT_MAX; ++i) - { - const VkDeviceSize smallerNewBlockSize = newBlockSize / 2; - if (smallerNewBlockSize > maxExistingBlockSize && smallerNewBlockSize >= size * 2) - { - newBlockSize = smallerNewBlockSize; - ++newBlockSizeShift; - } - else - { - break; - } - } - } - - size_t newBlockIndex = 0; - VkResult res = (newBlockSize <= freeMemory || !canFallbackToDedicated) ? - CreateBlock(newBlockSize, &newBlockIndex) : VK_ERROR_OUT_OF_DEVICE_MEMORY; - // Allocation of this size failed? Try 1/2, 1/4, 1/8 of m_PreferredBlockSize. - if (!m_ExplicitBlockSize) - { - while (res < 0 && newBlockSizeShift < NEW_BLOCK_SIZE_SHIFT_MAX) - { - const VkDeviceSize smallerNewBlockSize = newBlockSize / 2; - if (smallerNewBlockSize >= size) - { - newBlockSize = smallerNewBlockSize; - ++newBlockSizeShift; - res = (newBlockSize <= freeMemory || !canFallbackToDedicated) ? - CreateBlock(newBlockSize, &newBlockIndex) : VK_ERROR_OUT_OF_DEVICE_MEMORY; - } - else - { - break; - } - } - } - - if (res == VK_SUCCESS) - { - VmaDeviceMemoryBlock* const pBlock = m_Blocks[newBlockIndex]; - VMA_ASSERT(pBlock->m_pMetadata->GetSize() >= size); - - res = AllocateFromBlock( - pBlock, size, alignment, createInfo.flags, createInfo.pUserData, suballocType, strategy, pAllocation); - if (res == VK_SUCCESS) - { - VMA_DEBUG_LOG_FORMAT(" Created new block #%u Size=%llu", pBlock->GetId(), newBlockSize); - IncrementallySortBlocks(); - return VK_SUCCESS; - } - else - { - // Allocation from new block failed, possibly due to VMA_DEBUG_MARGIN or alignment. - return VK_ERROR_OUT_OF_DEVICE_MEMORY; - } - } - } - - return VK_ERROR_OUT_OF_DEVICE_MEMORY; -} - -void VmaBlockVector::Free(const VmaAllocation hAllocation) -{ - VmaDeviceMemoryBlock* pBlockToDelete = VMA_NULL; - - bool budgetExceeded = false; - { - const uint32_t heapIndex = m_hAllocator->MemoryTypeIndexToHeapIndex(m_MemoryTypeIndex); - VmaBudget heapBudget = {}; - m_hAllocator->GetHeapBudgets(&heapBudget, heapIndex, 1); - budgetExceeded = heapBudget.usage >= heapBudget.budget; - } - - // Scope for lock. - { - VmaMutexLockWrite lock(m_Mutex, m_hAllocator->m_UseMutex); - - VmaDeviceMemoryBlock* pBlock = hAllocation->GetBlock(); - - if (IsCorruptionDetectionEnabled()) - { - VkResult res = pBlock->ValidateMagicValueAfterAllocation(m_hAllocator, hAllocation->GetOffset(), hAllocation->GetSize()); - VMA_ASSERT(res == VK_SUCCESS && "Couldn't map block memory to validate magic value."); - } - - if (hAllocation->IsPersistentMap()) - { - pBlock->Unmap(m_hAllocator, 1); - } - - const bool hadEmptyBlockBeforeFree = HasEmptyBlock(); - pBlock->m_pMetadata->Free(hAllocation->GetAllocHandle()); - pBlock->PostFree(m_hAllocator); - VMA_HEAVY_ASSERT(pBlock->Validate()); - - VMA_DEBUG_LOG_FORMAT(" Freed from MemoryTypeIndex=%u", m_MemoryTypeIndex); - - const bool canDeleteBlock = m_Blocks.size() > m_MinBlockCount; - // pBlock became empty after this deallocation. - if (pBlock->m_pMetadata->IsEmpty()) - { - // Already had empty block. We don't want to have two, so delete this one. - if ((hadEmptyBlockBeforeFree || budgetExceeded) && canDeleteBlock) - { - pBlockToDelete = pBlock; - Remove(pBlock); - } - // else: We now have one empty block - leave it. A hysteresis to avoid allocating whole block back and forth. - } - // pBlock didn't become empty, but we have another empty block - find and free that one. - // (This is optional, heuristics.) - else if (hadEmptyBlockBeforeFree && canDeleteBlock) - { - VmaDeviceMemoryBlock* pLastBlock = m_Blocks.back(); - if (pLastBlock->m_pMetadata->IsEmpty()) - { - pBlockToDelete = pLastBlock; - m_Blocks.pop_back(); - } - } - - IncrementallySortBlocks(); - } - - // Destruction of a free block. Deferred until this point, outside of mutex - // lock, for performance reason. - if (pBlockToDelete != VMA_NULL) - { - VMA_DEBUG_LOG_FORMAT(" Deleted empty block #%u", pBlockToDelete->GetId()); - pBlockToDelete->Destroy(m_hAllocator); - vma_delete(m_hAllocator, pBlockToDelete); - } - - m_hAllocator->m_Budget.RemoveAllocation(m_hAllocator->MemoryTypeIndexToHeapIndex(m_MemoryTypeIndex), hAllocation->GetSize()); - m_hAllocator->m_AllocationObjectAllocator.Free(hAllocation); -} - -VkDeviceSize VmaBlockVector::CalcMaxBlockSize() const -{ - VkDeviceSize result = 0; - for (size_t i = m_Blocks.size(); i--; ) - { - result = VMA_MAX(result, m_Blocks[i]->m_pMetadata->GetSize()); - if (result >= m_PreferredBlockSize) - { - break; - } - } - return result; -} - -void VmaBlockVector::Remove(VmaDeviceMemoryBlock* pBlock) -{ - for (uint32_t blockIndex = 0; blockIndex < m_Blocks.size(); ++blockIndex) - { - if (m_Blocks[blockIndex] == pBlock) - { - VmaVectorRemove(m_Blocks, blockIndex); - return; - } - } - VMA_ASSERT(0); -} - -void VmaBlockVector::IncrementallySortBlocks() -{ - if (!m_IncrementalSort) - return; - if (m_Algorithm != VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT) - { - // Bubble sort only until first swap. - for (size_t i = 1; i < m_Blocks.size(); ++i) - { - if (m_Blocks[i - 1]->m_pMetadata->GetSumFreeSize() > m_Blocks[i]->m_pMetadata->GetSumFreeSize()) - { - VMA_SWAP(m_Blocks[i - 1], m_Blocks[i]); - return; - } - } - } -} - -void VmaBlockVector::SortByFreeSize() -{ - VMA_SORT(m_Blocks.begin(), m_Blocks.end(), - [](VmaDeviceMemoryBlock* b1, VmaDeviceMemoryBlock* b2) -> bool - { - return b1->m_pMetadata->GetSumFreeSize() < b2->m_pMetadata->GetSumFreeSize(); - }); -} - -VkResult VmaBlockVector::AllocateFromBlock( - VmaDeviceMemoryBlock* pBlock, - VkDeviceSize size, - VkDeviceSize alignment, - VmaAllocationCreateFlags allocFlags, - void* pUserData, - VmaSuballocationType suballocType, - uint32_t strategy, - VmaAllocation* pAllocation) -{ - const bool isUpperAddress = (allocFlags & VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT) != 0; - - VmaAllocationRequest currRequest = {}; - if (pBlock->m_pMetadata->CreateAllocationRequest( - size, - alignment, - isUpperAddress, - suballocType, - strategy, - &currRequest)) - { - return CommitAllocationRequest(currRequest, pBlock, alignment, allocFlags, pUserData, suballocType, pAllocation); - } - return VK_ERROR_OUT_OF_DEVICE_MEMORY; -} - -VkResult VmaBlockVector::CommitAllocationRequest( - VmaAllocationRequest& allocRequest, - VmaDeviceMemoryBlock* pBlock, - VkDeviceSize alignment, - VmaAllocationCreateFlags allocFlags, - void* pUserData, - VmaSuballocationType suballocType, - VmaAllocation* pAllocation) -{ - const bool mapped = (allocFlags & VMA_ALLOCATION_CREATE_MAPPED_BIT) != 0; - const bool isUserDataString = (allocFlags & VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT) != 0; - const bool isMappingAllowed = (allocFlags & - (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0; - - pBlock->PostAlloc(m_hAllocator); - // Allocate from pCurrBlock. - if (mapped) - { - VkResult res = pBlock->Map(m_hAllocator, 1, VMA_NULL); - if (res != VK_SUCCESS) - { - return res; - } - } - - *pAllocation = m_hAllocator->m_AllocationObjectAllocator.Allocate(isMappingAllowed); - pBlock->m_pMetadata->Alloc(allocRequest, suballocType, *pAllocation); - (*pAllocation)->InitBlockAllocation( - pBlock, - allocRequest.allocHandle, - alignment, - allocRequest.size, // Not size, as actual allocation size may be larger than requested! - m_MemoryTypeIndex, - suballocType, - mapped); - VMA_HEAVY_ASSERT(pBlock->Validate()); - if (isUserDataString) - (*pAllocation)->SetName(m_hAllocator, (const char*)pUserData); - else - (*pAllocation)->SetUserData(m_hAllocator, pUserData); - m_hAllocator->m_Budget.AddAllocation(m_hAllocator->MemoryTypeIndexToHeapIndex(m_MemoryTypeIndex), allocRequest.size); - if (VMA_DEBUG_INITIALIZE_ALLOCATIONS) - { - m_hAllocator->FillAllocation(*pAllocation, VMA_ALLOCATION_FILL_PATTERN_CREATED); - } - if (IsCorruptionDetectionEnabled()) - { - VkResult res = pBlock->WriteMagicValueAfterAllocation(m_hAllocator, (*pAllocation)->GetOffset(), allocRequest.size); - VMA_ASSERT(res == VK_SUCCESS && "Couldn't map block memory to write magic value."); - } - return VK_SUCCESS; -} - -VkResult VmaBlockVector::CreateBlock(VkDeviceSize blockSize, size_t* pNewBlockIndex) -{ - VkMemoryAllocateInfo allocInfo = { VK_STRUCTURE_TYPE_MEMORY_ALLOCATE_INFO }; - allocInfo.pNext = m_pMemoryAllocateNext; - allocInfo.memoryTypeIndex = m_MemoryTypeIndex; - allocInfo.allocationSize = blockSize; - -#if VMA_BUFFER_DEVICE_ADDRESS - // Every standalone block can potentially contain a buffer with VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT - always enable the feature. - VkMemoryAllocateFlagsInfoKHR allocFlagsInfo = { VK_STRUCTURE_TYPE_MEMORY_ALLOCATE_FLAGS_INFO_KHR }; - if (m_hAllocator->m_UseKhrBufferDeviceAddress) - { - allocFlagsInfo.flags = VK_MEMORY_ALLOCATE_DEVICE_ADDRESS_BIT_KHR; - VmaPnextChainPushFront(&allocInfo, &allocFlagsInfo); - } -#endif // VMA_BUFFER_DEVICE_ADDRESS - -#if VMA_MEMORY_PRIORITY - VkMemoryPriorityAllocateInfoEXT priorityInfo = { VK_STRUCTURE_TYPE_MEMORY_PRIORITY_ALLOCATE_INFO_EXT }; - if (m_hAllocator->m_UseExtMemoryPriority) - { - VMA_ASSERT(m_Priority >= 0.f && m_Priority <= 1.f); - priorityInfo.priority = m_Priority; - VmaPnextChainPushFront(&allocInfo, &priorityInfo); - } -#endif // VMA_MEMORY_PRIORITY - -#if VMA_EXTERNAL_MEMORY - // Attach VkExportMemoryAllocateInfoKHR if necessary. - VkExportMemoryAllocateInfoKHR exportMemoryAllocInfo = { VK_STRUCTURE_TYPE_EXPORT_MEMORY_ALLOCATE_INFO_KHR }; - exportMemoryAllocInfo.handleTypes = m_hAllocator->GetExternalMemoryHandleTypeFlags(m_MemoryTypeIndex); - if (exportMemoryAllocInfo.handleTypes != 0) - { - VmaPnextChainPushFront(&allocInfo, &exportMemoryAllocInfo); - } -#endif // VMA_EXTERNAL_MEMORY - - VkDeviceMemory mem = VK_NULL_HANDLE; - VkResult res = m_hAllocator->AllocateVulkanMemory(&allocInfo, &mem); - if (res < 0) - { - return res; - } - - // New VkDeviceMemory successfully created. - - // Create new Allocation for it. - VmaDeviceMemoryBlock* const pBlock = vma_new(m_hAllocator, VmaDeviceMemoryBlock)(m_hAllocator); - pBlock->Init( - m_hAllocator, - m_hParentPool, - m_MemoryTypeIndex, - mem, - allocInfo.allocationSize, - m_NextBlockId++, - m_Algorithm, - m_BufferImageGranularity); - - m_Blocks.push_back(pBlock); - if (pNewBlockIndex != VMA_NULL) - { - *pNewBlockIndex = m_Blocks.size() - 1; - } - - return VK_SUCCESS; -} - -bool VmaBlockVector::HasEmptyBlock() -{ - for (size_t index = 0, count = m_Blocks.size(); index < count; ++index) - { - VmaDeviceMemoryBlock* const pBlock = m_Blocks[index]; - if (pBlock->m_pMetadata->IsEmpty()) - { - return true; - } - } - return false; -} - -#if VMA_STATS_STRING_ENABLED -void VmaBlockVector::PrintDetailedMap(class VmaJsonWriter& json) -{ - VmaMutexLockRead lock(m_Mutex, m_hAllocator->m_UseMutex); - - - json.BeginObject(); - for (size_t i = 0; i < m_Blocks.size(); ++i) - { - json.BeginString(); - json.ContinueString(m_Blocks[i]->GetId()); - json.EndString(); - - json.BeginObject(); - json.WriteString("MapRefCount"); - json.WriteNumber(m_Blocks[i]->GetMapRefCount()); - - m_Blocks[i]->m_pMetadata->PrintDetailedMap(json); - json.EndObject(); - } - json.EndObject(); -} -#endif // VMA_STATS_STRING_ENABLED - -VkResult VmaBlockVector::CheckCorruption() -{ - if (!IsCorruptionDetectionEnabled()) - { - return VK_ERROR_FEATURE_NOT_PRESENT; - } - - VmaMutexLockRead lock(m_Mutex, m_hAllocator->m_UseMutex); - for (uint32_t blockIndex = 0; blockIndex < m_Blocks.size(); ++blockIndex) - { - VmaDeviceMemoryBlock* const pBlock = m_Blocks[blockIndex]; - VMA_ASSERT(pBlock); - VkResult res = pBlock->CheckCorruption(m_hAllocator); - if (res != VK_SUCCESS) - { - return res; - } - } - return VK_SUCCESS; -} - -#endif // _VMA_BLOCK_VECTOR_FUNCTIONS - -#ifndef _VMA_DEFRAGMENTATION_CONTEXT_FUNCTIONS -VmaDefragmentationContext_T::VmaDefragmentationContext_T( - VmaAllocator hAllocator, - const VmaDefragmentationInfo& info) - : m_MaxPassBytes(info.maxBytesPerPass == 0 ? VK_WHOLE_SIZE : info.maxBytesPerPass), - m_MaxPassAllocations(info.maxAllocationsPerPass == 0 ? UINT32_MAX : info.maxAllocationsPerPass), - m_MoveAllocator(hAllocator->GetAllocationCallbacks()), - m_Moves(m_MoveAllocator) -{ - m_Algorithm = info.flags & VMA_DEFRAGMENTATION_FLAG_ALGORITHM_MASK; - - if (info.pool != VMA_NULL) - { - m_BlockVectorCount = 1; - m_PoolBlockVector = &info.pool->m_BlockVector; - m_pBlockVectors = &m_PoolBlockVector; - m_PoolBlockVector->SetIncrementalSort(false); - m_PoolBlockVector->SortByFreeSize(); - } - else - { - m_BlockVectorCount = hAllocator->GetMemoryTypeCount(); - m_PoolBlockVector = VMA_NULL; - m_pBlockVectors = hAllocator->m_pBlockVectors; - for (uint32_t i = 0; i < m_BlockVectorCount; ++i) - { - VmaBlockVector* vector = m_pBlockVectors[i]; - if (vector != VMA_NULL) - { - vector->SetIncrementalSort(false); - vector->SortByFreeSize(); - } - } - } - - switch (m_Algorithm) - { - case 0: // Default algorithm - m_Algorithm = VMA_DEFRAGMENTATION_FLAG_ALGORITHM_BALANCED_BIT; - m_AlgorithmState = vma_new_array(hAllocator, StateBalanced, m_BlockVectorCount); - break; - case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_BALANCED_BIT: - m_AlgorithmState = vma_new_array(hAllocator, StateBalanced, m_BlockVectorCount); - break; - case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT: - if (hAllocator->GetBufferImageGranularity() > 1) - { - m_AlgorithmState = vma_new_array(hAllocator, StateExtensive, m_BlockVectorCount); - } - break; - } -} - -VmaDefragmentationContext_T::~VmaDefragmentationContext_T() -{ - if (m_PoolBlockVector != VMA_NULL) - { - m_PoolBlockVector->SetIncrementalSort(true); - } - else - { - for (uint32_t i = 0; i < m_BlockVectorCount; ++i) - { - VmaBlockVector* vector = m_pBlockVectors[i]; - if (vector != VMA_NULL) - vector->SetIncrementalSort(true); - } - } - - if (m_AlgorithmState) - { - switch (m_Algorithm) - { - case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_BALANCED_BIT: - vma_delete_array(m_MoveAllocator.m_pCallbacks, reinterpret_cast(m_AlgorithmState), m_BlockVectorCount); - break; - case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT: - vma_delete_array(m_MoveAllocator.m_pCallbacks, reinterpret_cast(m_AlgorithmState), m_BlockVectorCount); - break; - default: - VMA_ASSERT(0); - } - } -} - -VkResult VmaDefragmentationContext_T::DefragmentPassBegin(VmaDefragmentationPassMoveInfo& moveInfo) -{ - if (m_PoolBlockVector != VMA_NULL) - { - VmaMutexLockWrite lock(m_PoolBlockVector->GetMutex(), m_PoolBlockVector->GetAllocator()->m_UseMutex); - - if (m_PoolBlockVector->GetBlockCount() > 1) - ComputeDefragmentation(*m_PoolBlockVector, 0); - else if (m_PoolBlockVector->GetBlockCount() == 1) - ReallocWithinBlock(*m_PoolBlockVector, m_PoolBlockVector->GetBlock(0)); - } - else - { - for (uint32_t i = 0; i < m_BlockVectorCount; ++i) - { - if (m_pBlockVectors[i] != VMA_NULL) - { - VmaMutexLockWrite lock(m_pBlockVectors[i]->GetMutex(), m_pBlockVectors[i]->GetAllocator()->m_UseMutex); - - if (m_pBlockVectors[i]->GetBlockCount() > 1) - { - if (ComputeDefragmentation(*m_pBlockVectors[i], i)) - break; - } - else if (m_pBlockVectors[i]->GetBlockCount() == 1) - { - if (ReallocWithinBlock(*m_pBlockVectors[i], m_pBlockVectors[i]->GetBlock(0))) - break; - } - } - } - } - - moveInfo.moveCount = static_cast(m_Moves.size()); - if (moveInfo.moveCount > 0) - { - moveInfo.pMoves = m_Moves.data(); - return VK_INCOMPLETE; - } - - moveInfo.pMoves = VMA_NULL; - return VK_SUCCESS; -} - -VkResult VmaDefragmentationContext_T::DefragmentPassEnd(VmaDefragmentationPassMoveInfo& moveInfo) -{ - VMA_ASSERT(moveInfo.moveCount > 0 ? moveInfo.pMoves != VMA_NULL : true); - - VkResult result = VK_SUCCESS; - VmaStlAllocator blockAllocator(m_MoveAllocator.m_pCallbacks); - VmaVector> immovableBlocks(blockAllocator); - VmaVector> mappedBlocks(blockAllocator); - - VmaAllocator allocator = VMA_NULL; - for (uint32_t i = 0; i < moveInfo.moveCount; ++i) - { - VmaDefragmentationMove& move = moveInfo.pMoves[i]; - size_t prevCount = 0, currentCount = 0; - VkDeviceSize freedBlockSize = 0; - - uint32_t vectorIndex; - VmaBlockVector* vector; - if (m_PoolBlockVector != VMA_NULL) - { - vectorIndex = 0; - vector = m_PoolBlockVector; - } - else - { - vectorIndex = move.srcAllocation->GetMemoryTypeIndex(); - vector = m_pBlockVectors[vectorIndex]; - VMA_ASSERT(vector != VMA_NULL); - } - - switch (move.operation) - { - case VMA_DEFRAGMENTATION_MOVE_OPERATION_COPY: - { - uint8_t mapCount = move.srcAllocation->SwapBlockAllocation(vector->m_hAllocator, move.dstTmpAllocation); - if (mapCount > 0) - { - allocator = vector->m_hAllocator; - VmaDeviceMemoryBlock* newMapBlock = move.srcAllocation->GetBlock(); - bool notPresent = true; - for (FragmentedBlock& block : mappedBlocks) - { - if (block.block == newMapBlock) - { - notPresent = false; - block.data += mapCount; - break; - } - } - if (notPresent) - mappedBlocks.push_back({ mapCount, newMapBlock }); - } - - // Scope for locks, Free have it's own lock - { - VmaMutexLockRead lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); - prevCount = vector->GetBlockCount(); - freedBlockSize = move.dstTmpAllocation->GetBlock()->m_pMetadata->GetSize(); - } - vector->Free(move.dstTmpAllocation); - { - VmaMutexLockRead lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); - currentCount = vector->GetBlockCount(); - } - - result = VK_INCOMPLETE; - break; - } - case VMA_DEFRAGMENTATION_MOVE_OPERATION_IGNORE: - { - m_PassStats.bytesMoved -= move.srcAllocation->GetSize(); - --m_PassStats.allocationsMoved; - vector->Free(move.dstTmpAllocation); - - VmaDeviceMemoryBlock* newBlock = move.srcAllocation->GetBlock(); - bool notPresent = true; - for (const FragmentedBlock& block : immovableBlocks) - { - if (block.block == newBlock) - { - notPresent = false; - break; - } - } - if (notPresent) - immovableBlocks.push_back({ vectorIndex, newBlock }); - break; - } - case VMA_DEFRAGMENTATION_MOVE_OPERATION_DESTROY: - { - m_PassStats.bytesMoved -= move.srcAllocation->GetSize(); - --m_PassStats.allocationsMoved; - // Scope for locks, Free have it's own lock - { - VmaMutexLockRead lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); - prevCount = vector->GetBlockCount(); - freedBlockSize = move.srcAllocation->GetBlock()->m_pMetadata->GetSize(); - } - vector->Free(move.srcAllocation); - { - VmaMutexLockRead lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); - currentCount = vector->GetBlockCount(); - } - freedBlockSize *= prevCount - currentCount; - - VkDeviceSize dstBlockSize; - { - VmaMutexLockRead lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); - dstBlockSize = move.dstTmpAllocation->GetBlock()->m_pMetadata->GetSize(); - } - vector->Free(move.dstTmpAllocation); - { - VmaMutexLockRead lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); - freedBlockSize += dstBlockSize * (currentCount - vector->GetBlockCount()); - currentCount = vector->GetBlockCount(); - } - - result = VK_INCOMPLETE; - break; - } - default: - VMA_ASSERT(0); - } - - if (prevCount > currentCount) - { - size_t freedBlocks = prevCount - currentCount; - m_PassStats.deviceMemoryBlocksFreed += static_cast(freedBlocks); - m_PassStats.bytesFreed += freedBlockSize; - } - - if(m_Algorithm == VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT && - m_AlgorithmState != VMA_NULL) - { - // Avoid unnecessary tries to allocate when new free block is available - StateExtensive& state = reinterpret_cast(m_AlgorithmState)[vectorIndex]; - if (state.firstFreeBlock != SIZE_MAX) - { - const size_t diff = prevCount - currentCount; - if (state.firstFreeBlock >= diff) - { - state.firstFreeBlock -= diff; - if (state.firstFreeBlock != 0) - state.firstFreeBlock -= vector->GetBlock(state.firstFreeBlock - 1)->m_pMetadata->IsEmpty(); - } - else - state.firstFreeBlock = 0; - } - } - } - moveInfo.moveCount = 0; - moveInfo.pMoves = VMA_NULL; - m_Moves.clear(); - - // Update stats - m_GlobalStats.allocationsMoved += m_PassStats.allocationsMoved; - m_GlobalStats.bytesFreed += m_PassStats.bytesFreed; - m_GlobalStats.bytesMoved += m_PassStats.bytesMoved; - m_GlobalStats.deviceMemoryBlocksFreed += m_PassStats.deviceMemoryBlocksFreed; - m_PassStats = { 0 }; - - // Move blocks with immovable allocations according to algorithm - if (immovableBlocks.size() > 0) - { - do - { - if(m_Algorithm == VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT) - { - if (m_AlgorithmState != VMA_NULL) - { - bool swapped = false; - // Move to the start of free blocks range - for (const FragmentedBlock& block : immovableBlocks) - { - StateExtensive& state = reinterpret_cast(m_AlgorithmState)[block.data]; - if (state.operation != StateExtensive::Operation::Cleanup) - { - VmaBlockVector* vector = m_pBlockVectors[block.data]; - VmaMutexLockWrite lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); - - for (size_t i = 0, count = vector->GetBlockCount() - m_ImmovableBlockCount; i < count; ++i) - { - if (vector->GetBlock(i) == block.block) - { - VMA_SWAP(vector->m_Blocks[i], vector->m_Blocks[vector->GetBlockCount() - ++m_ImmovableBlockCount]); - if (state.firstFreeBlock != SIZE_MAX) - { - if (i + 1 < state.firstFreeBlock) - { - if (state.firstFreeBlock > 1) - VMA_SWAP(vector->m_Blocks[i], vector->m_Blocks[--state.firstFreeBlock]); - else - --state.firstFreeBlock; - } - } - swapped = true; - break; - } - } - } - } - if (swapped) - result = VK_INCOMPLETE; - break; - } - } - - // Move to the beginning - for (const FragmentedBlock& block : immovableBlocks) - { - VmaBlockVector* vector = m_pBlockVectors[block.data]; - VmaMutexLockWrite lock(vector->GetMutex(), vector->GetAllocator()->m_UseMutex); - - for (size_t i = m_ImmovableBlockCount; i < vector->GetBlockCount(); ++i) - { - if (vector->GetBlock(i) == block.block) - { - VMA_SWAP(vector->m_Blocks[i], vector->m_Blocks[m_ImmovableBlockCount++]); - break; - } - } - } - } while (false); - } - - // Bulk-map destination blocks - for (const FragmentedBlock& block : mappedBlocks) - { - VkResult res = block.block->Map(allocator, block.data, VMA_NULL); - VMA_ASSERT(res == VK_SUCCESS); - } - return result; -} - -bool VmaDefragmentationContext_T::ComputeDefragmentation(VmaBlockVector& vector, size_t index) -{ - switch (m_Algorithm) - { - case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FAST_BIT: - return ComputeDefragmentation_Fast(vector); - case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_BALANCED_BIT: - return ComputeDefragmentation_Balanced(vector, index, true); - case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FULL_BIT: - return ComputeDefragmentation_Full(vector); - case VMA_DEFRAGMENTATION_FLAG_ALGORITHM_EXTENSIVE_BIT: - return ComputeDefragmentation_Extensive(vector, index); - default: - VMA_ASSERT(0); - return ComputeDefragmentation_Balanced(vector, index, true); - } -} - -VmaDefragmentationContext_T::MoveAllocationData VmaDefragmentationContext_T::GetMoveData( - VmaAllocHandle handle, VmaBlockMetadata* metadata) -{ - MoveAllocationData moveData; - moveData.move.srcAllocation = (VmaAllocation)metadata->GetAllocationUserData(handle); - moveData.size = moveData.move.srcAllocation->GetSize(); - moveData.alignment = moveData.move.srcAllocation->GetAlignment(); - moveData.type = moveData.move.srcAllocation->GetSuballocationType(); - moveData.flags = 0; - - if (moveData.move.srcAllocation->IsPersistentMap()) - moveData.flags |= VMA_ALLOCATION_CREATE_MAPPED_BIT; - if (moveData.move.srcAllocation->IsMappingAllowed()) - moveData.flags |= VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT; - - return moveData; -} - -VmaDefragmentationContext_T::CounterStatus VmaDefragmentationContext_T::CheckCounters(VkDeviceSize bytes) -{ - // Ignore allocation if will exceed max size for copy - if (m_PassStats.bytesMoved + bytes > m_MaxPassBytes) - { - if (++m_IgnoredAllocs < MAX_ALLOCS_TO_IGNORE) - return CounterStatus::Ignore; - else - return CounterStatus::End; - } - else - m_IgnoredAllocs = 0; - return CounterStatus::Pass; -} - -bool VmaDefragmentationContext_T::IncrementCounters(VkDeviceSize bytes) -{ - m_PassStats.bytesMoved += bytes; - // Early return when max found - if (++m_PassStats.allocationsMoved >= m_MaxPassAllocations || m_PassStats.bytesMoved >= m_MaxPassBytes) - { - VMA_ASSERT((m_PassStats.allocationsMoved == m_MaxPassAllocations || - m_PassStats.bytesMoved == m_MaxPassBytes) && "Exceeded maximal pass threshold!"); - return true; - } - return false; -} - -bool VmaDefragmentationContext_T::ReallocWithinBlock(VmaBlockVector& vector, VmaDeviceMemoryBlock* block) -{ - VmaBlockMetadata* metadata = block->m_pMetadata; - - for (VmaAllocHandle handle = metadata->GetAllocationListBegin(); - handle != VK_NULL_HANDLE; - handle = metadata->GetNextAllocation(handle)) - { - MoveAllocationData moveData = GetMoveData(handle, metadata); - // Ignore newly created allocations by defragmentation algorithm - if (moveData.move.srcAllocation->GetUserData() == this) - continue; - switch (CheckCounters(moveData.move.srcAllocation->GetSize())) - { - case CounterStatus::Ignore: - continue; - case CounterStatus::End: - return true; - case CounterStatus::Pass: - break; - default: - VMA_ASSERT(0); - } - - VkDeviceSize offset = moveData.move.srcAllocation->GetOffset(); - if (offset != 0 && metadata->GetSumFreeSize() >= moveData.size) - { - VmaAllocationRequest request = {}; - if (metadata->CreateAllocationRequest( - moveData.size, - moveData.alignment, - false, - moveData.type, - VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT, - &request)) - { - if (metadata->GetAllocationOffset(request.allocHandle) < offset) - { - if (vector.CommitAllocationRequest( - request, - block, - moveData.alignment, - moveData.flags, - this, - moveData.type, - &moveData.move.dstTmpAllocation) == VK_SUCCESS) - { - m_Moves.push_back(moveData.move); - if (IncrementCounters(moveData.size)) - return true; - } - } - } - } - } - return false; -} - -bool VmaDefragmentationContext_T::AllocInOtherBlock(size_t start, size_t end, MoveAllocationData& data, VmaBlockVector& vector) -{ - for (; start < end; ++start) - { - VmaDeviceMemoryBlock* dstBlock = vector.GetBlock(start); - if (dstBlock->m_pMetadata->GetSumFreeSize() >= data.size) - { - if (vector.AllocateFromBlock(dstBlock, - data.size, - data.alignment, - data.flags, - this, - data.type, - 0, - &data.move.dstTmpAllocation) == VK_SUCCESS) - { - m_Moves.push_back(data.move); - if (IncrementCounters(data.size)) - return true; - break; - } - } - } - return false; -} - -bool VmaDefragmentationContext_T::ComputeDefragmentation_Fast(VmaBlockVector& vector) -{ - // Move only between blocks - - // Go through allocations in last blocks and try to fit them inside first ones - for (size_t i = vector.GetBlockCount() - 1; i > m_ImmovableBlockCount; --i) - { - VmaBlockMetadata* metadata = vector.GetBlock(i)->m_pMetadata; - - for (VmaAllocHandle handle = metadata->GetAllocationListBegin(); - handle != VK_NULL_HANDLE; - handle = metadata->GetNextAllocation(handle)) - { - MoveAllocationData moveData = GetMoveData(handle, metadata); - // Ignore newly created allocations by defragmentation algorithm - if (moveData.move.srcAllocation->GetUserData() == this) - continue; - switch (CheckCounters(moveData.move.srcAllocation->GetSize())) - { - case CounterStatus::Ignore: - continue; - case CounterStatus::End: - return true; - case CounterStatus::Pass: - break; - default: - VMA_ASSERT(0); - } - - // Check all previous blocks for free space - if (AllocInOtherBlock(0, i, moveData, vector)) - return true; - } - } - return false; -} - -bool VmaDefragmentationContext_T::ComputeDefragmentation_Balanced(VmaBlockVector& vector, size_t index, bool update) -{ - // Go over every allocation and try to fit it in previous blocks at lowest offsets, - // if not possible: realloc within single block to minimize offset (exclude offset == 0), - // but only if there are noticeable gaps between them (some heuristic, ex. average size of allocation in block) - VMA_ASSERT(m_AlgorithmState != VMA_NULL); - - StateBalanced& vectorState = reinterpret_cast(m_AlgorithmState)[index]; - if (update && vectorState.avgAllocSize == UINT64_MAX) - UpdateVectorStatistics(vector, vectorState); - - const size_t startMoveCount = m_Moves.size(); - VkDeviceSize minimalFreeRegion = vectorState.avgFreeSize / 2; - for (size_t i = vector.GetBlockCount() - 1; i > m_ImmovableBlockCount; --i) - { - VmaDeviceMemoryBlock* block = vector.GetBlock(i); - VmaBlockMetadata* metadata = block->m_pMetadata; - VkDeviceSize prevFreeRegionSize = 0; - - for (VmaAllocHandle handle = metadata->GetAllocationListBegin(); - handle != VK_NULL_HANDLE; - handle = metadata->GetNextAllocation(handle)) - { - MoveAllocationData moveData = GetMoveData(handle, metadata); - // Ignore newly created allocations by defragmentation algorithm - if (moveData.move.srcAllocation->GetUserData() == this) - continue; - switch (CheckCounters(moveData.move.srcAllocation->GetSize())) - { - case CounterStatus::Ignore: - continue; - case CounterStatus::End: - return true; - case CounterStatus::Pass: - break; - default: - VMA_ASSERT(0); - } - - // Check all previous blocks for free space - const size_t prevMoveCount = m_Moves.size(); - if (AllocInOtherBlock(0, i, moveData, vector)) - return true; - - VkDeviceSize nextFreeRegionSize = metadata->GetNextFreeRegionSize(handle); - // If no room found then realloc within block for lower offset - VkDeviceSize offset = moveData.move.srcAllocation->GetOffset(); - if (prevMoveCount == m_Moves.size() && offset != 0 && metadata->GetSumFreeSize() >= moveData.size) - { - // Check if realloc will make sense - if (prevFreeRegionSize >= minimalFreeRegion || - nextFreeRegionSize >= minimalFreeRegion || - moveData.size <= vectorState.avgFreeSize || - moveData.size <= vectorState.avgAllocSize) - { - VmaAllocationRequest request = {}; - if (metadata->CreateAllocationRequest( - moveData.size, - moveData.alignment, - false, - moveData.type, - VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT, - &request)) - { - if (metadata->GetAllocationOffset(request.allocHandle) < offset) - { - if (vector.CommitAllocationRequest( - request, - block, - moveData.alignment, - moveData.flags, - this, - moveData.type, - &moveData.move.dstTmpAllocation) == VK_SUCCESS) - { - m_Moves.push_back(moveData.move); - if (IncrementCounters(moveData.size)) - return true; - } - } - } - } - } - prevFreeRegionSize = nextFreeRegionSize; - } - } - - // No moves performed, update statistics to current vector state - if (startMoveCount == m_Moves.size() && !update) - { - vectorState.avgAllocSize = UINT64_MAX; - return ComputeDefragmentation_Balanced(vector, index, false); - } - return false; -} - -bool VmaDefragmentationContext_T::ComputeDefragmentation_Full(VmaBlockVector& vector) -{ - // Go over every allocation and try to fit it in previous blocks at lowest offsets, - // if not possible: realloc within single block to minimize offset (exclude offset == 0) - - for (size_t i = vector.GetBlockCount() - 1; i > m_ImmovableBlockCount; --i) - { - VmaDeviceMemoryBlock* block = vector.GetBlock(i); - VmaBlockMetadata* metadata = block->m_pMetadata; - - for (VmaAllocHandle handle = metadata->GetAllocationListBegin(); - handle != VK_NULL_HANDLE; - handle = metadata->GetNextAllocation(handle)) - { - MoveAllocationData moveData = GetMoveData(handle, metadata); - // Ignore newly created allocations by defragmentation algorithm - if (moveData.move.srcAllocation->GetUserData() == this) - continue; - switch (CheckCounters(moveData.move.srcAllocation->GetSize())) - { - case CounterStatus::Ignore: - continue; - case CounterStatus::End: - return true; - case CounterStatus::Pass: - break; - default: - VMA_ASSERT(0); - } - - // Check all previous blocks for free space - const size_t prevMoveCount = m_Moves.size(); - if (AllocInOtherBlock(0, i, moveData, vector)) - return true; - - // If no room found then realloc within block for lower offset - VkDeviceSize offset = moveData.move.srcAllocation->GetOffset(); - if (prevMoveCount == m_Moves.size() && offset != 0 && metadata->GetSumFreeSize() >= moveData.size) - { - VmaAllocationRequest request = {}; - if (metadata->CreateAllocationRequest( - moveData.size, - moveData.alignment, - false, - moveData.type, - VMA_ALLOCATION_CREATE_STRATEGY_MIN_OFFSET_BIT, - &request)) - { - if (metadata->GetAllocationOffset(request.allocHandle) < offset) - { - if (vector.CommitAllocationRequest( - request, - block, - moveData.alignment, - moveData.flags, - this, - moveData.type, - &moveData.move.dstTmpAllocation) == VK_SUCCESS) - { - m_Moves.push_back(moveData.move); - if (IncrementCounters(moveData.size)) - return true; - } - } - } - } - } - } - return false; -} - -bool VmaDefragmentationContext_T::ComputeDefragmentation_Extensive(VmaBlockVector& vector, size_t index) -{ - // First free single block, then populate it to the brim, then free another block, and so on - - // Fallback to previous algorithm since without granularity conflicts it can achieve max packing - if (vector.m_BufferImageGranularity == 1) - return ComputeDefragmentation_Full(vector); - - VMA_ASSERT(m_AlgorithmState != VMA_NULL); - - StateExtensive& vectorState = reinterpret_cast(m_AlgorithmState)[index]; - - bool texturePresent = false, bufferPresent = false, otherPresent = false; - switch (vectorState.operation) - { - case StateExtensive::Operation::Done: // Vector defragmented - return false; - case StateExtensive::Operation::FindFreeBlockBuffer: - case StateExtensive::Operation::FindFreeBlockTexture: - case StateExtensive::Operation::FindFreeBlockAll: - { - // No more blocks to free, just perform fast realloc and move to cleanup - if (vectorState.firstFreeBlock == 0) - { - vectorState.operation = StateExtensive::Operation::Cleanup; - return ComputeDefragmentation_Fast(vector); - } - - // No free blocks, have to clear last one - size_t last = (vectorState.firstFreeBlock == SIZE_MAX ? vector.GetBlockCount() : vectorState.firstFreeBlock) - 1; - VmaBlockMetadata* freeMetadata = vector.GetBlock(last)->m_pMetadata; - - const size_t prevMoveCount = m_Moves.size(); - for (VmaAllocHandle handle = freeMetadata->GetAllocationListBegin(); - handle != VK_NULL_HANDLE; - handle = freeMetadata->GetNextAllocation(handle)) - { - MoveAllocationData moveData = GetMoveData(handle, freeMetadata); - switch (CheckCounters(moveData.move.srcAllocation->GetSize())) - { - case CounterStatus::Ignore: - continue; - case CounterStatus::End: - return true; - case CounterStatus::Pass: - break; - default: - VMA_ASSERT(0); - } - - // Check all previous blocks for free space - if (AllocInOtherBlock(0, last, moveData, vector)) - { - // Full clear performed already - if (prevMoveCount != m_Moves.size() && freeMetadata->GetNextAllocation(handle) == VK_NULL_HANDLE) - vectorState.firstFreeBlock = last; - return true; - } - } - - if (prevMoveCount == m_Moves.size()) - { - // Cannot perform full clear, have to move data in other blocks around - if (last != 0) - { - for (size_t i = last - 1; i; --i) - { - if (ReallocWithinBlock(vector, vector.GetBlock(i))) - return true; - } - } - - if (prevMoveCount == m_Moves.size()) - { - // No possible reallocs within blocks, try to move them around fast - return ComputeDefragmentation_Fast(vector); - } - } - else - { - switch (vectorState.operation) - { - case StateExtensive::Operation::FindFreeBlockBuffer: - vectorState.operation = StateExtensive::Operation::MoveBuffers; - break; - case StateExtensive::Operation::FindFreeBlockTexture: - vectorState.operation = StateExtensive::Operation::MoveTextures; - break; - case StateExtensive::Operation::FindFreeBlockAll: - vectorState.operation = StateExtensive::Operation::MoveAll; - break; - default: - VMA_ASSERT(0); - vectorState.operation = StateExtensive::Operation::MoveTextures; - } - vectorState.firstFreeBlock = last; - // Nothing done, block found without reallocations, can perform another reallocs in same pass - return ComputeDefragmentation_Extensive(vector, index); - } - break; - } - case StateExtensive::Operation::MoveTextures: - { - if (MoveDataToFreeBlocks(VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL, vector, - vectorState.firstFreeBlock, texturePresent, bufferPresent, otherPresent)) - { - if (texturePresent) - { - vectorState.operation = StateExtensive::Operation::FindFreeBlockTexture; - return ComputeDefragmentation_Extensive(vector, index); - } - - if (!bufferPresent && !otherPresent) - { - vectorState.operation = StateExtensive::Operation::Cleanup; - break; - } - - // No more textures to move, check buffers - vectorState.operation = StateExtensive::Operation::MoveBuffers; - bufferPresent = false; - otherPresent = false; - } - else - break; - VMA_FALLTHROUGH; // Fallthrough - } - case StateExtensive::Operation::MoveBuffers: - { - if (MoveDataToFreeBlocks(VMA_SUBALLOCATION_TYPE_BUFFER, vector, - vectorState.firstFreeBlock, texturePresent, bufferPresent, otherPresent)) - { - if (bufferPresent) - { - vectorState.operation = StateExtensive::Operation::FindFreeBlockBuffer; - return ComputeDefragmentation_Extensive(vector, index); - } - - if (!otherPresent) - { - vectorState.operation = StateExtensive::Operation::Cleanup; - break; - } - - // No more buffers to move, check all others - vectorState.operation = StateExtensive::Operation::MoveAll; - otherPresent = false; - } - else - break; - VMA_FALLTHROUGH; // Fallthrough - } - case StateExtensive::Operation::MoveAll: - { - if (MoveDataToFreeBlocks(VMA_SUBALLOCATION_TYPE_FREE, vector, - vectorState.firstFreeBlock, texturePresent, bufferPresent, otherPresent)) - { - if (otherPresent) - { - vectorState.operation = StateExtensive::Operation::FindFreeBlockBuffer; - return ComputeDefragmentation_Extensive(vector, index); - } - // Everything moved - vectorState.operation = StateExtensive::Operation::Cleanup; - } - break; - } - case StateExtensive::Operation::Cleanup: - // Cleanup is handled below so that other operations may reuse the cleanup code. This case is here to prevent the unhandled enum value warning (C4062). - break; - } - - if (vectorState.operation == StateExtensive::Operation::Cleanup) - { - // All other work done, pack data in blocks even tighter if possible - const size_t prevMoveCount = m_Moves.size(); - for (size_t i = 0; i < vector.GetBlockCount(); ++i) - { - if (ReallocWithinBlock(vector, vector.GetBlock(i))) - return true; - } - - if (prevMoveCount == m_Moves.size()) - vectorState.operation = StateExtensive::Operation::Done; - } - return false; -} - -void VmaDefragmentationContext_T::UpdateVectorStatistics(VmaBlockVector& vector, StateBalanced& state) -{ - size_t allocCount = 0; - size_t freeCount = 0; - state.avgFreeSize = 0; - state.avgAllocSize = 0; - - for (size_t i = 0; i < vector.GetBlockCount(); ++i) - { - VmaBlockMetadata* metadata = vector.GetBlock(i)->m_pMetadata; - - allocCount += metadata->GetAllocationCount(); - freeCount += metadata->GetFreeRegionsCount(); - state.avgFreeSize += metadata->GetSumFreeSize(); - state.avgAllocSize += metadata->GetSize(); - } - - state.avgAllocSize = (state.avgAllocSize - state.avgFreeSize) / allocCount; - state.avgFreeSize /= freeCount; -} - -bool VmaDefragmentationContext_T::MoveDataToFreeBlocks(VmaSuballocationType currentType, - VmaBlockVector& vector, size_t firstFreeBlock, - bool& texturePresent, bool& bufferPresent, bool& otherPresent) -{ - const size_t prevMoveCount = m_Moves.size(); - for (size_t i = firstFreeBlock ; i;) - { - VmaDeviceMemoryBlock* block = vector.GetBlock(--i); - VmaBlockMetadata* metadata = block->m_pMetadata; - - for (VmaAllocHandle handle = metadata->GetAllocationListBegin(); - handle != VK_NULL_HANDLE; - handle = metadata->GetNextAllocation(handle)) - { - MoveAllocationData moveData = GetMoveData(handle, metadata); - // Ignore newly created allocations by defragmentation algorithm - if (moveData.move.srcAllocation->GetUserData() == this) - continue; - switch (CheckCounters(moveData.move.srcAllocation->GetSize())) - { - case CounterStatus::Ignore: - continue; - case CounterStatus::End: - return true; - case CounterStatus::Pass: - break; - default: - VMA_ASSERT(0); - } - - // Move only single type of resources at once - if (!VmaIsBufferImageGranularityConflict(moveData.type, currentType)) - { - // Try to fit allocation into free blocks - if (AllocInOtherBlock(firstFreeBlock, vector.GetBlockCount(), moveData, vector)) - return false; - } - - if (!VmaIsBufferImageGranularityConflict(moveData.type, VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL)) - texturePresent = true; - else if (!VmaIsBufferImageGranularityConflict(moveData.type, VMA_SUBALLOCATION_TYPE_BUFFER)) - bufferPresent = true; - else - otherPresent = true; - } - } - return prevMoveCount == m_Moves.size(); -} -#endif // _VMA_DEFRAGMENTATION_CONTEXT_FUNCTIONS - -#ifndef _VMA_POOL_T_FUNCTIONS -VmaPool_T::VmaPool_T( - VmaAllocator hAllocator, - const VmaPoolCreateInfo& createInfo, - VkDeviceSize preferredBlockSize) - : m_BlockVector( - hAllocator, - this, // hParentPool - createInfo.memoryTypeIndex, - createInfo.blockSize != 0 ? createInfo.blockSize : preferredBlockSize, - createInfo.minBlockCount, - createInfo.maxBlockCount, - (createInfo.flags& VMA_POOL_CREATE_IGNORE_BUFFER_IMAGE_GRANULARITY_BIT) != 0 ? 1 : hAllocator->GetBufferImageGranularity(), - createInfo.blockSize != 0, // explicitBlockSize - createInfo.flags & VMA_POOL_CREATE_ALGORITHM_MASK, // algorithm - createInfo.priority, - VMA_MAX(hAllocator->GetMemoryTypeMinAlignment(createInfo.memoryTypeIndex), createInfo.minAllocationAlignment), - createInfo.pMemoryAllocateNext), - m_Id(0), - m_Name(VMA_NULL) {} - -VmaPool_T::~VmaPool_T() -{ - VMA_ASSERT(m_PrevPool == VMA_NULL && m_NextPool == VMA_NULL); -} - -void VmaPool_T::SetName(const char* pName) -{ - const VkAllocationCallbacks* allocs = m_BlockVector.GetAllocator()->GetAllocationCallbacks(); - VmaFreeString(allocs, m_Name); - - if (pName != VMA_NULL) - { - m_Name = VmaCreateStringCopy(allocs, pName); - } - else - { - m_Name = VMA_NULL; - } -} -#endif // _VMA_POOL_T_FUNCTIONS - -#ifndef _VMA_ALLOCATOR_T_FUNCTIONS -VmaAllocator_T::VmaAllocator_T(const VmaAllocatorCreateInfo* pCreateInfo) : - m_UseMutex((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_EXTERNALLY_SYNCHRONIZED_BIT) == 0), - m_VulkanApiVersion(pCreateInfo->vulkanApiVersion != 0 ? pCreateInfo->vulkanApiVersion : VK_API_VERSION_1_0), - m_UseKhrDedicatedAllocation((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT) != 0), - m_UseKhrBindMemory2((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_KHR_BIND_MEMORY2_BIT) != 0), - m_UseExtMemoryBudget((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_EXT_MEMORY_BUDGET_BIT) != 0), - m_UseAmdDeviceCoherentMemory((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_AMD_DEVICE_COHERENT_MEMORY_BIT) != 0), - m_UseKhrBufferDeviceAddress((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT) != 0), - m_UseExtMemoryPriority((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_EXT_MEMORY_PRIORITY_BIT) != 0), - m_hDevice(pCreateInfo->device), - m_hInstance(pCreateInfo->instance), - m_AllocationCallbacksSpecified(pCreateInfo->pAllocationCallbacks != VMA_NULL), - m_AllocationCallbacks(pCreateInfo->pAllocationCallbacks ? - *pCreateInfo->pAllocationCallbacks : VmaEmptyAllocationCallbacks), - m_AllocationObjectAllocator(&m_AllocationCallbacks), - m_HeapSizeLimitMask(0), - m_DeviceMemoryCount(0), - m_PreferredLargeHeapBlockSize(0), - m_PhysicalDevice(pCreateInfo->physicalDevice), - m_GpuDefragmentationMemoryTypeBits(UINT32_MAX), - m_NextPoolId(0), - m_GlobalMemoryTypeBits(UINT32_MAX) -{ - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) - { - m_UseKhrDedicatedAllocation = false; - m_UseKhrBindMemory2 = false; - } - - if(VMA_DEBUG_DETECT_CORRUPTION) - { - // Needs to be multiply of uint32_t size because we are going to write VMA_CORRUPTION_DETECTION_MAGIC_VALUE to it. - VMA_ASSERT(VMA_DEBUG_MARGIN % sizeof(uint32_t) == 0); - } - - VMA_ASSERT(pCreateInfo->physicalDevice && pCreateInfo->device && pCreateInfo->instance); - - if(m_VulkanApiVersion < VK_MAKE_VERSION(1, 1, 0)) - { -#if !(VMA_DEDICATED_ALLOCATION) - if((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT) != 0) - { - VMA_ASSERT(0 && "VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT set but required extensions are disabled by preprocessor macros."); - } -#endif -#if !(VMA_BIND_MEMORY2) - if((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_KHR_BIND_MEMORY2_BIT) != 0) - { - VMA_ASSERT(0 && "VMA_ALLOCATOR_CREATE_KHR_BIND_MEMORY2_BIT set but required extension is disabled by preprocessor macros."); - } -#endif - } -#if !(VMA_MEMORY_BUDGET) - if((pCreateInfo->flags & VMA_ALLOCATOR_CREATE_EXT_MEMORY_BUDGET_BIT) != 0) - { - VMA_ASSERT(0 && "VMA_ALLOCATOR_CREATE_EXT_MEMORY_BUDGET_BIT set but required extension is disabled by preprocessor macros."); - } -#endif -#if !(VMA_BUFFER_DEVICE_ADDRESS) - if(m_UseKhrBufferDeviceAddress) - { - VMA_ASSERT(0 && "VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT is set but required extension or Vulkan 1.2 is not available in your Vulkan header or its support in VMA has been disabled by a preprocessor macro."); - } -#endif -#if VMA_VULKAN_VERSION < 1003000 - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 3, 0)) - { - VMA_ASSERT(0 && "vulkanApiVersion >= VK_API_VERSION_1_3 but required Vulkan version is disabled by preprocessor macros."); - } -#endif -#if VMA_VULKAN_VERSION < 1002000 - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 2, 0)) - { - VMA_ASSERT(0 && "vulkanApiVersion >= VK_API_VERSION_1_2 but required Vulkan version is disabled by preprocessor macros."); - } -#endif -#if VMA_VULKAN_VERSION < 1001000 - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) - { - VMA_ASSERT(0 && "vulkanApiVersion >= VK_API_VERSION_1_1 but required Vulkan version is disabled by preprocessor macros."); - } -#endif -#if !(VMA_MEMORY_PRIORITY) - if(m_UseExtMemoryPriority) - { - VMA_ASSERT(0 && "VMA_ALLOCATOR_CREATE_EXT_MEMORY_PRIORITY_BIT is set but required extension is not available in your Vulkan header or its support in VMA has been disabled by a preprocessor macro."); - } -#endif - - memset(&m_DeviceMemoryCallbacks, 0 ,sizeof(m_DeviceMemoryCallbacks)); - memset(&m_PhysicalDeviceProperties, 0, sizeof(m_PhysicalDeviceProperties)); - memset(&m_MemProps, 0, sizeof(m_MemProps)); - - memset(&m_pBlockVectors, 0, sizeof(m_pBlockVectors)); - memset(&m_VulkanFunctions, 0, sizeof(m_VulkanFunctions)); - -#if VMA_EXTERNAL_MEMORY - memset(&m_TypeExternalMemoryHandleTypes, 0, sizeof(m_TypeExternalMemoryHandleTypes)); -#endif // #if VMA_EXTERNAL_MEMORY - - if(pCreateInfo->pDeviceMemoryCallbacks != VMA_NULL) - { - m_DeviceMemoryCallbacks.pUserData = pCreateInfo->pDeviceMemoryCallbacks->pUserData; - m_DeviceMemoryCallbacks.pfnAllocate = pCreateInfo->pDeviceMemoryCallbacks->pfnAllocate; - m_DeviceMemoryCallbacks.pfnFree = pCreateInfo->pDeviceMemoryCallbacks->pfnFree; - } - - ImportVulkanFunctions(pCreateInfo->pVulkanFunctions); - - (*m_VulkanFunctions.vkGetPhysicalDeviceProperties)(m_PhysicalDevice, &m_PhysicalDeviceProperties); - (*m_VulkanFunctions.vkGetPhysicalDeviceMemoryProperties)(m_PhysicalDevice, &m_MemProps); - - VMA_ASSERT(VmaIsPow2(VMA_MIN_ALIGNMENT)); - VMA_ASSERT(VmaIsPow2(VMA_DEBUG_MIN_BUFFER_IMAGE_GRANULARITY)); - VMA_ASSERT(VmaIsPow2(m_PhysicalDeviceProperties.limits.bufferImageGranularity)); - VMA_ASSERT(VmaIsPow2(m_PhysicalDeviceProperties.limits.nonCoherentAtomSize)); - - m_PreferredLargeHeapBlockSize = (pCreateInfo->preferredLargeHeapBlockSize != 0) ? - pCreateInfo->preferredLargeHeapBlockSize : static_cast(VMA_DEFAULT_LARGE_HEAP_BLOCK_SIZE); - - m_GlobalMemoryTypeBits = CalculateGlobalMemoryTypeBits(); - -#if VMA_EXTERNAL_MEMORY - if(pCreateInfo->pTypeExternalMemoryHandleTypes != VMA_NULL) - { - memcpy(m_TypeExternalMemoryHandleTypes, pCreateInfo->pTypeExternalMemoryHandleTypes, - sizeof(VkExternalMemoryHandleTypeFlagsKHR) * GetMemoryTypeCount()); - } -#endif // #if VMA_EXTERNAL_MEMORY - - if(pCreateInfo->pHeapSizeLimit != VMA_NULL) - { - for(uint32_t heapIndex = 0; heapIndex < GetMemoryHeapCount(); ++heapIndex) - { - const VkDeviceSize limit = pCreateInfo->pHeapSizeLimit[heapIndex]; - if(limit != VK_WHOLE_SIZE) - { - m_HeapSizeLimitMask |= 1u << heapIndex; - if(limit < m_MemProps.memoryHeaps[heapIndex].size) - { - m_MemProps.memoryHeaps[heapIndex].size = limit; - } - } - } - } - - for(uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) - { - // Create only supported types - if((m_GlobalMemoryTypeBits & (1u << memTypeIndex)) != 0) - { - const VkDeviceSize preferredBlockSize = CalcPreferredBlockSize(memTypeIndex); - m_pBlockVectors[memTypeIndex] = vma_new(this, VmaBlockVector)( - this, - VK_NULL_HANDLE, // hParentPool - memTypeIndex, - preferredBlockSize, - 0, - SIZE_MAX, - GetBufferImageGranularity(), - false, // explicitBlockSize - 0, // algorithm - 0.5f, // priority (0.5 is the default per Vulkan spec) - GetMemoryTypeMinAlignment(memTypeIndex), // minAllocationAlignment - VMA_NULL); // // pMemoryAllocateNext - // No need to call m_pBlockVectors[memTypeIndex][blockVectorTypeIndex]->CreateMinBlocks here, - // becase minBlockCount is 0. - } - } -} - -VkResult VmaAllocator_T::Init(const VmaAllocatorCreateInfo* pCreateInfo) -{ - VkResult res = VK_SUCCESS; - -#if VMA_MEMORY_BUDGET - if(m_UseExtMemoryBudget) - { - UpdateVulkanBudget(); - } -#endif // #if VMA_MEMORY_BUDGET - - return res; -} - -VmaAllocator_T::~VmaAllocator_T() -{ - VMA_ASSERT(m_Pools.IsEmpty()); - - for(size_t memTypeIndex = GetMemoryTypeCount(); memTypeIndex--; ) - { - vma_delete(this, m_pBlockVectors[memTypeIndex]); - } -} - -void VmaAllocator_T::ImportVulkanFunctions(const VmaVulkanFunctions* pVulkanFunctions) -{ -#if VMA_STATIC_VULKAN_FUNCTIONS == 1 - ImportVulkanFunctions_Static(); -#endif - - if(pVulkanFunctions != VMA_NULL) - { - ImportVulkanFunctions_Custom(pVulkanFunctions); - } - -#if VMA_DYNAMIC_VULKAN_FUNCTIONS == 1 - ImportVulkanFunctions_Dynamic(); -#endif - - ValidateVulkanFunctions(); -} - -#if VMA_STATIC_VULKAN_FUNCTIONS == 1 - -void VmaAllocator_T::ImportVulkanFunctions_Static() -{ - // Vulkan 1.0 - m_VulkanFunctions.vkGetInstanceProcAddr = (PFN_vkGetInstanceProcAddr)vkGetInstanceProcAddr; - m_VulkanFunctions.vkGetDeviceProcAddr = (PFN_vkGetDeviceProcAddr)vkGetDeviceProcAddr; - m_VulkanFunctions.vkGetPhysicalDeviceProperties = (PFN_vkGetPhysicalDeviceProperties)vkGetPhysicalDeviceProperties; - m_VulkanFunctions.vkGetPhysicalDeviceMemoryProperties = (PFN_vkGetPhysicalDeviceMemoryProperties)vkGetPhysicalDeviceMemoryProperties; - m_VulkanFunctions.vkAllocateMemory = (PFN_vkAllocateMemory)vkAllocateMemory; - m_VulkanFunctions.vkFreeMemory = (PFN_vkFreeMemory)vkFreeMemory; - m_VulkanFunctions.vkMapMemory = (PFN_vkMapMemory)vkMapMemory; - m_VulkanFunctions.vkUnmapMemory = (PFN_vkUnmapMemory)vkUnmapMemory; - m_VulkanFunctions.vkFlushMappedMemoryRanges = (PFN_vkFlushMappedMemoryRanges)vkFlushMappedMemoryRanges; - m_VulkanFunctions.vkInvalidateMappedMemoryRanges = (PFN_vkInvalidateMappedMemoryRanges)vkInvalidateMappedMemoryRanges; - m_VulkanFunctions.vkBindBufferMemory = (PFN_vkBindBufferMemory)vkBindBufferMemory; - m_VulkanFunctions.vkBindImageMemory = (PFN_vkBindImageMemory)vkBindImageMemory; - m_VulkanFunctions.vkGetBufferMemoryRequirements = (PFN_vkGetBufferMemoryRequirements)vkGetBufferMemoryRequirements; - m_VulkanFunctions.vkGetImageMemoryRequirements = (PFN_vkGetImageMemoryRequirements)vkGetImageMemoryRequirements; - m_VulkanFunctions.vkCreateBuffer = (PFN_vkCreateBuffer)vkCreateBuffer; - m_VulkanFunctions.vkDestroyBuffer = (PFN_vkDestroyBuffer)vkDestroyBuffer; - m_VulkanFunctions.vkCreateImage = (PFN_vkCreateImage)vkCreateImage; - m_VulkanFunctions.vkDestroyImage = (PFN_vkDestroyImage)vkDestroyImage; - m_VulkanFunctions.vkCmdCopyBuffer = (PFN_vkCmdCopyBuffer)vkCmdCopyBuffer; - - // Vulkan 1.1 -#if VMA_VULKAN_VERSION >= 1001000 - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) - { - m_VulkanFunctions.vkGetBufferMemoryRequirements2KHR = (PFN_vkGetBufferMemoryRequirements2)vkGetBufferMemoryRequirements2; - m_VulkanFunctions.vkGetImageMemoryRequirements2KHR = (PFN_vkGetImageMemoryRequirements2)vkGetImageMemoryRequirements2; - m_VulkanFunctions.vkBindBufferMemory2KHR = (PFN_vkBindBufferMemory2)vkBindBufferMemory2; - m_VulkanFunctions.vkBindImageMemory2KHR = (PFN_vkBindImageMemory2)vkBindImageMemory2; - } -#endif - -#if VMA_MEMORY_BUDGET || VMA_VULKAN_VERSION >= 1001000 - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) - { - m_VulkanFunctions.vkGetPhysicalDeviceMemoryProperties2KHR = (PFN_vkGetPhysicalDeviceMemoryProperties2)vkGetPhysicalDeviceMemoryProperties2; - } -#endif - -#if VMA_VULKAN_VERSION >= 1003000 - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 3, 0)) - { - m_VulkanFunctions.vkGetDeviceBufferMemoryRequirements = (PFN_vkGetDeviceBufferMemoryRequirements)vkGetDeviceBufferMemoryRequirements; - m_VulkanFunctions.vkGetDeviceImageMemoryRequirements = (PFN_vkGetDeviceImageMemoryRequirements)vkGetDeviceImageMemoryRequirements; - } -#endif -} - -#endif // VMA_STATIC_VULKAN_FUNCTIONS == 1 - -void VmaAllocator_T::ImportVulkanFunctions_Custom(const VmaVulkanFunctions* pVulkanFunctions) -{ - VMA_ASSERT(pVulkanFunctions != VMA_NULL); - -#define VMA_COPY_IF_NOT_NULL(funcName) \ - if(pVulkanFunctions->funcName != VMA_NULL) m_VulkanFunctions.funcName = pVulkanFunctions->funcName; - - VMA_COPY_IF_NOT_NULL(vkGetInstanceProcAddr); - VMA_COPY_IF_NOT_NULL(vkGetDeviceProcAddr); - VMA_COPY_IF_NOT_NULL(vkGetPhysicalDeviceProperties); - VMA_COPY_IF_NOT_NULL(vkGetPhysicalDeviceMemoryProperties); - VMA_COPY_IF_NOT_NULL(vkAllocateMemory); - VMA_COPY_IF_NOT_NULL(vkFreeMemory); - VMA_COPY_IF_NOT_NULL(vkMapMemory); - VMA_COPY_IF_NOT_NULL(vkUnmapMemory); - VMA_COPY_IF_NOT_NULL(vkFlushMappedMemoryRanges); - VMA_COPY_IF_NOT_NULL(vkInvalidateMappedMemoryRanges); - VMA_COPY_IF_NOT_NULL(vkBindBufferMemory); - VMA_COPY_IF_NOT_NULL(vkBindImageMemory); - VMA_COPY_IF_NOT_NULL(vkGetBufferMemoryRequirements); - VMA_COPY_IF_NOT_NULL(vkGetImageMemoryRequirements); - VMA_COPY_IF_NOT_NULL(vkCreateBuffer); - VMA_COPY_IF_NOT_NULL(vkDestroyBuffer); - VMA_COPY_IF_NOT_NULL(vkCreateImage); - VMA_COPY_IF_NOT_NULL(vkDestroyImage); - VMA_COPY_IF_NOT_NULL(vkCmdCopyBuffer); - -#if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 - VMA_COPY_IF_NOT_NULL(vkGetBufferMemoryRequirements2KHR); - VMA_COPY_IF_NOT_NULL(vkGetImageMemoryRequirements2KHR); -#endif - -#if VMA_BIND_MEMORY2 || VMA_VULKAN_VERSION >= 1001000 - VMA_COPY_IF_NOT_NULL(vkBindBufferMemory2KHR); - VMA_COPY_IF_NOT_NULL(vkBindImageMemory2KHR); -#endif - -#if VMA_MEMORY_BUDGET || VMA_VULKAN_VERSION >= 1001000 - VMA_COPY_IF_NOT_NULL(vkGetPhysicalDeviceMemoryProperties2KHR); -#endif - -#if VMA_VULKAN_VERSION >= 1003000 - VMA_COPY_IF_NOT_NULL(vkGetDeviceBufferMemoryRequirements); - VMA_COPY_IF_NOT_NULL(vkGetDeviceImageMemoryRequirements); -#endif - -#undef VMA_COPY_IF_NOT_NULL -} - -#if VMA_DYNAMIC_VULKAN_FUNCTIONS == 1 - -void VmaAllocator_T::ImportVulkanFunctions_Dynamic() -{ - VMA_ASSERT(m_VulkanFunctions.vkGetInstanceProcAddr && m_VulkanFunctions.vkGetDeviceProcAddr && - "To use VMA_DYNAMIC_VULKAN_FUNCTIONS in new versions of VMA you now have to pass " - "VmaVulkanFunctions::vkGetInstanceProcAddr and vkGetDeviceProcAddr as VmaAllocatorCreateInfo::pVulkanFunctions. " - "Other members can be null."); - -#define VMA_FETCH_INSTANCE_FUNC(memberName, functionPointerType, functionNameString) \ - if(m_VulkanFunctions.memberName == VMA_NULL) \ - m_VulkanFunctions.memberName = \ - (functionPointerType)m_VulkanFunctions.vkGetInstanceProcAddr(m_hInstance, functionNameString); -#define VMA_FETCH_DEVICE_FUNC(memberName, functionPointerType, functionNameString) \ - if(m_VulkanFunctions.memberName == VMA_NULL) \ - m_VulkanFunctions.memberName = \ - (functionPointerType)m_VulkanFunctions.vkGetDeviceProcAddr(m_hDevice, functionNameString); - - VMA_FETCH_INSTANCE_FUNC(vkGetPhysicalDeviceProperties, PFN_vkGetPhysicalDeviceProperties, "vkGetPhysicalDeviceProperties"); - VMA_FETCH_INSTANCE_FUNC(vkGetPhysicalDeviceMemoryProperties, PFN_vkGetPhysicalDeviceMemoryProperties, "vkGetPhysicalDeviceMemoryProperties"); - VMA_FETCH_DEVICE_FUNC(vkAllocateMemory, PFN_vkAllocateMemory, "vkAllocateMemory"); - VMA_FETCH_DEVICE_FUNC(vkFreeMemory, PFN_vkFreeMemory, "vkFreeMemory"); - VMA_FETCH_DEVICE_FUNC(vkMapMemory, PFN_vkMapMemory, "vkMapMemory"); - VMA_FETCH_DEVICE_FUNC(vkUnmapMemory, PFN_vkUnmapMemory, "vkUnmapMemory"); - VMA_FETCH_DEVICE_FUNC(vkFlushMappedMemoryRanges, PFN_vkFlushMappedMemoryRanges, "vkFlushMappedMemoryRanges"); - VMA_FETCH_DEVICE_FUNC(vkInvalidateMappedMemoryRanges, PFN_vkInvalidateMappedMemoryRanges, "vkInvalidateMappedMemoryRanges"); - VMA_FETCH_DEVICE_FUNC(vkBindBufferMemory, PFN_vkBindBufferMemory, "vkBindBufferMemory"); - VMA_FETCH_DEVICE_FUNC(vkBindImageMemory, PFN_vkBindImageMemory, "vkBindImageMemory"); - VMA_FETCH_DEVICE_FUNC(vkGetBufferMemoryRequirements, PFN_vkGetBufferMemoryRequirements, "vkGetBufferMemoryRequirements"); - VMA_FETCH_DEVICE_FUNC(vkGetImageMemoryRequirements, PFN_vkGetImageMemoryRequirements, "vkGetImageMemoryRequirements"); - VMA_FETCH_DEVICE_FUNC(vkCreateBuffer, PFN_vkCreateBuffer, "vkCreateBuffer"); - VMA_FETCH_DEVICE_FUNC(vkDestroyBuffer, PFN_vkDestroyBuffer, "vkDestroyBuffer"); - VMA_FETCH_DEVICE_FUNC(vkCreateImage, PFN_vkCreateImage, "vkCreateImage"); - VMA_FETCH_DEVICE_FUNC(vkDestroyImage, PFN_vkDestroyImage, "vkDestroyImage"); - VMA_FETCH_DEVICE_FUNC(vkCmdCopyBuffer, PFN_vkCmdCopyBuffer, "vkCmdCopyBuffer"); - -#if VMA_VULKAN_VERSION >= 1001000 - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) - { - VMA_FETCH_DEVICE_FUNC(vkGetBufferMemoryRequirements2KHR, PFN_vkGetBufferMemoryRequirements2, "vkGetBufferMemoryRequirements2"); - VMA_FETCH_DEVICE_FUNC(vkGetImageMemoryRequirements2KHR, PFN_vkGetImageMemoryRequirements2, "vkGetImageMemoryRequirements2"); - VMA_FETCH_DEVICE_FUNC(vkBindBufferMemory2KHR, PFN_vkBindBufferMemory2, "vkBindBufferMemory2"); - VMA_FETCH_DEVICE_FUNC(vkBindImageMemory2KHR, PFN_vkBindImageMemory2, "vkBindImageMemory2"); - } -#endif - -#if VMA_MEMORY_BUDGET || VMA_VULKAN_VERSION >= 1001000 - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) - { - VMA_FETCH_INSTANCE_FUNC(vkGetPhysicalDeviceMemoryProperties2KHR, PFN_vkGetPhysicalDeviceMemoryProperties2, "vkGetPhysicalDeviceMemoryProperties2"); - } - else if(m_UseExtMemoryBudget) - { - VMA_FETCH_INSTANCE_FUNC(vkGetPhysicalDeviceMemoryProperties2KHR, PFN_vkGetPhysicalDeviceMemoryProperties2, "vkGetPhysicalDeviceMemoryProperties2KHR"); - } -#endif - -#if VMA_DEDICATED_ALLOCATION - if(m_UseKhrDedicatedAllocation) - { - VMA_FETCH_DEVICE_FUNC(vkGetBufferMemoryRequirements2KHR, PFN_vkGetBufferMemoryRequirements2KHR, "vkGetBufferMemoryRequirements2KHR"); - VMA_FETCH_DEVICE_FUNC(vkGetImageMemoryRequirements2KHR, PFN_vkGetImageMemoryRequirements2KHR, "vkGetImageMemoryRequirements2KHR"); - } -#endif - -#if VMA_BIND_MEMORY2 - if(m_UseKhrBindMemory2) - { - VMA_FETCH_DEVICE_FUNC(vkBindBufferMemory2KHR, PFN_vkBindBufferMemory2KHR, "vkBindBufferMemory2KHR"); - VMA_FETCH_DEVICE_FUNC(vkBindImageMemory2KHR, PFN_vkBindImageMemory2KHR, "vkBindImageMemory2KHR"); - } -#endif // #if VMA_BIND_MEMORY2 - -#if VMA_MEMORY_BUDGET || VMA_VULKAN_VERSION >= 1001000 - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) - { - VMA_FETCH_INSTANCE_FUNC(vkGetPhysicalDeviceMemoryProperties2KHR, PFN_vkGetPhysicalDeviceMemoryProperties2KHR, "vkGetPhysicalDeviceMemoryProperties2"); - } - else if(m_UseExtMemoryBudget) - { - VMA_FETCH_INSTANCE_FUNC(vkGetPhysicalDeviceMemoryProperties2KHR, PFN_vkGetPhysicalDeviceMemoryProperties2KHR, "vkGetPhysicalDeviceMemoryProperties2KHR"); - } -#endif // #if VMA_MEMORY_BUDGET - -#if VMA_VULKAN_VERSION >= 1003000 - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 3, 0)) - { - VMA_FETCH_DEVICE_FUNC(vkGetDeviceBufferMemoryRequirements, PFN_vkGetDeviceBufferMemoryRequirements, "vkGetDeviceBufferMemoryRequirements"); - VMA_FETCH_DEVICE_FUNC(vkGetDeviceImageMemoryRequirements, PFN_vkGetDeviceImageMemoryRequirements, "vkGetDeviceImageMemoryRequirements"); - } -#endif - -#undef VMA_FETCH_DEVICE_FUNC -#undef VMA_FETCH_INSTANCE_FUNC -} - -#endif // VMA_DYNAMIC_VULKAN_FUNCTIONS == 1 - -void VmaAllocator_T::ValidateVulkanFunctions() -{ - VMA_ASSERT(m_VulkanFunctions.vkGetPhysicalDeviceProperties != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkGetPhysicalDeviceMemoryProperties != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkAllocateMemory != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkFreeMemory != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkMapMemory != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkUnmapMemory != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkFlushMappedMemoryRanges != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkInvalidateMappedMemoryRanges != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkBindBufferMemory != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkBindImageMemory != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkGetBufferMemoryRequirements != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkGetImageMemoryRequirements != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkCreateBuffer != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkDestroyBuffer != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkCreateImage != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkDestroyImage != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkCmdCopyBuffer != VMA_NULL); - -#if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0) || m_UseKhrDedicatedAllocation) - { - VMA_ASSERT(m_VulkanFunctions.vkGetBufferMemoryRequirements2KHR != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkGetImageMemoryRequirements2KHR != VMA_NULL); - } -#endif - -#if VMA_BIND_MEMORY2 || VMA_VULKAN_VERSION >= 1001000 - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0) || m_UseKhrBindMemory2) - { - VMA_ASSERT(m_VulkanFunctions.vkBindBufferMemory2KHR != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkBindImageMemory2KHR != VMA_NULL); - } -#endif - -#if VMA_MEMORY_BUDGET || VMA_VULKAN_VERSION >= 1001000 - if(m_UseExtMemoryBudget || m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) - { - VMA_ASSERT(m_VulkanFunctions.vkGetPhysicalDeviceMemoryProperties2KHR != VMA_NULL); - } -#endif - -#if VMA_VULKAN_VERSION >= 1003000 - if(m_VulkanApiVersion >= VK_MAKE_VERSION(1, 3, 0)) - { - VMA_ASSERT(m_VulkanFunctions.vkGetDeviceBufferMemoryRequirements != VMA_NULL); - VMA_ASSERT(m_VulkanFunctions.vkGetDeviceImageMemoryRequirements != VMA_NULL); - } -#endif -} - -VkDeviceSize VmaAllocator_T::CalcPreferredBlockSize(uint32_t memTypeIndex) -{ - const uint32_t heapIndex = MemoryTypeIndexToHeapIndex(memTypeIndex); - const VkDeviceSize heapSize = m_MemProps.memoryHeaps[heapIndex].size; - const bool isSmallHeap = heapSize <= VMA_SMALL_HEAP_MAX_SIZE; - return VmaAlignUp(isSmallHeap ? (heapSize / 8) : m_PreferredLargeHeapBlockSize, (VkDeviceSize)32); -} - -VkResult VmaAllocator_T::AllocateMemoryOfType( - VmaPool pool, - VkDeviceSize size, - VkDeviceSize alignment, - bool dedicatedPreferred, - VkBuffer dedicatedBuffer, - VkImage dedicatedImage, - VkFlags dedicatedBufferImageUsage, - const VmaAllocationCreateInfo& createInfo, - uint32_t memTypeIndex, - VmaSuballocationType suballocType, - VmaDedicatedAllocationList& dedicatedAllocations, - VmaBlockVector& blockVector, - size_t allocationCount, - VmaAllocation* pAllocations) -{ - VMA_ASSERT(pAllocations != VMA_NULL); - VMA_DEBUG_LOG_FORMAT(" AllocateMemory: MemoryTypeIndex=%u, AllocationCount=%zu, Size=%llu", memTypeIndex, allocationCount, size); - - VmaAllocationCreateInfo finalCreateInfo = createInfo; - VkResult res = CalcMemTypeParams( - finalCreateInfo, - memTypeIndex, - size, - allocationCount); - if(res != VK_SUCCESS) - return res; - - if((finalCreateInfo.flags & VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT) != 0) - { - return AllocateDedicatedMemory( - pool, - size, - suballocType, - dedicatedAllocations, - memTypeIndex, - (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_MAPPED_BIT) != 0, - (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT) != 0, - (finalCreateInfo.flags & - (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0, - (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_CAN_ALIAS_BIT) != 0, - finalCreateInfo.pUserData, - finalCreateInfo.priority, - dedicatedBuffer, - dedicatedImage, - dedicatedBufferImageUsage, - allocationCount, - pAllocations, - blockVector.GetAllocationNextPtr()); - } - else - { - const bool canAllocateDedicated = - (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT) == 0 && - (pool == VK_NULL_HANDLE || !blockVector.HasExplicitBlockSize()); - - if(canAllocateDedicated) - { - // Heuristics: Allocate dedicated memory if requested size if greater than half of preferred block size. - if(size > blockVector.GetPreferredBlockSize() / 2) - { - dedicatedPreferred = true; - } - // Protection against creating each allocation as dedicated when we reach or exceed heap size/budget, - // which can quickly deplete maxMemoryAllocationCount: Don't prefer dedicated allocations when above - // 3/4 of the maximum allocation count. - if(m_PhysicalDeviceProperties.limits.maxMemoryAllocationCount < UINT32_MAX / 4 && - m_DeviceMemoryCount.load() > m_PhysicalDeviceProperties.limits.maxMemoryAllocationCount * 3 / 4) - { - dedicatedPreferred = false; - } - - if(dedicatedPreferred) - { - res = AllocateDedicatedMemory( - pool, - size, - suballocType, - dedicatedAllocations, - memTypeIndex, - (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_MAPPED_BIT) != 0, - (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT) != 0, - (finalCreateInfo.flags & - (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0, - (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_CAN_ALIAS_BIT) != 0, - finalCreateInfo.pUserData, - finalCreateInfo.priority, - dedicatedBuffer, - dedicatedImage, - dedicatedBufferImageUsage, - allocationCount, - pAllocations, - blockVector.GetAllocationNextPtr()); - if(res == VK_SUCCESS) - { - // Succeeded: AllocateDedicatedMemory function already filled pMemory, nothing more to do here. - VMA_DEBUG_LOG(" Allocated as DedicatedMemory"); - return VK_SUCCESS; - } - } - } - - res = blockVector.Allocate( - size, - alignment, - finalCreateInfo, - suballocType, - allocationCount, - pAllocations); - if(res == VK_SUCCESS) - return VK_SUCCESS; - - // Try dedicated memory. - if(canAllocateDedicated && !dedicatedPreferred) - { - res = AllocateDedicatedMemory( - pool, - size, - suballocType, - dedicatedAllocations, - memTypeIndex, - (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_MAPPED_BIT) != 0, - (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_USER_DATA_COPY_STRING_BIT) != 0, - (finalCreateInfo.flags & - (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0, - (finalCreateInfo.flags & VMA_ALLOCATION_CREATE_CAN_ALIAS_BIT) != 0, - finalCreateInfo.pUserData, - finalCreateInfo.priority, - dedicatedBuffer, - dedicatedImage, - dedicatedBufferImageUsage, - allocationCount, - pAllocations, - blockVector.GetAllocationNextPtr()); - if(res == VK_SUCCESS) - { - // Succeeded: AllocateDedicatedMemory function already filled pMemory, nothing more to do here. - VMA_DEBUG_LOG(" Allocated as DedicatedMemory"); - return VK_SUCCESS; - } - } - // Everything failed: Return error code. - VMA_DEBUG_LOG(" vkAllocateMemory FAILED"); - return res; - } -} - -VkResult VmaAllocator_T::AllocateDedicatedMemory( - VmaPool pool, - VkDeviceSize size, - VmaSuballocationType suballocType, - VmaDedicatedAllocationList& dedicatedAllocations, - uint32_t memTypeIndex, - bool map, - bool isUserDataString, - bool isMappingAllowed, - bool canAliasMemory, - void* pUserData, - float priority, - VkBuffer dedicatedBuffer, - VkImage dedicatedImage, - VkFlags dedicatedBufferImageUsage, - size_t allocationCount, - VmaAllocation* pAllocations, - const void* pNextChain) -{ - VMA_ASSERT(allocationCount > 0 && pAllocations); - - VkMemoryAllocateInfo allocInfo = { VK_STRUCTURE_TYPE_MEMORY_ALLOCATE_INFO }; - allocInfo.memoryTypeIndex = memTypeIndex; - allocInfo.allocationSize = size; - allocInfo.pNext = pNextChain; - -#if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 - VkMemoryDedicatedAllocateInfoKHR dedicatedAllocInfo = { VK_STRUCTURE_TYPE_MEMORY_DEDICATED_ALLOCATE_INFO_KHR }; - if(!canAliasMemory) - { - if(m_UseKhrDedicatedAllocation || m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) - { - if(dedicatedBuffer != VK_NULL_HANDLE) - { - VMA_ASSERT(dedicatedImage == VK_NULL_HANDLE); - dedicatedAllocInfo.buffer = dedicatedBuffer; - VmaPnextChainPushFront(&allocInfo, &dedicatedAllocInfo); - } - else if(dedicatedImage != VK_NULL_HANDLE) - { - dedicatedAllocInfo.image = dedicatedImage; - VmaPnextChainPushFront(&allocInfo, &dedicatedAllocInfo); - } - } - } -#endif // #if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 - -#if VMA_BUFFER_DEVICE_ADDRESS - VkMemoryAllocateFlagsInfoKHR allocFlagsInfo = { VK_STRUCTURE_TYPE_MEMORY_ALLOCATE_FLAGS_INFO_KHR }; - if(m_UseKhrBufferDeviceAddress) - { - bool canContainBufferWithDeviceAddress = true; - if(dedicatedBuffer != VK_NULL_HANDLE) - { - canContainBufferWithDeviceAddress = dedicatedBufferImageUsage == UINT32_MAX || // Usage flags unknown - (dedicatedBufferImageUsage & VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT_EXT) != 0; - } - else if(dedicatedImage != VK_NULL_HANDLE) - { - canContainBufferWithDeviceAddress = false; - } - if(canContainBufferWithDeviceAddress) - { - allocFlagsInfo.flags = VK_MEMORY_ALLOCATE_DEVICE_ADDRESS_BIT_KHR; - VmaPnextChainPushFront(&allocInfo, &allocFlagsInfo); - } - } -#endif // #if VMA_BUFFER_DEVICE_ADDRESS - -#if VMA_MEMORY_PRIORITY - VkMemoryPriorityAllocateInfoEXT priorityInfo = { VK_STRUCTURE_TYPE_MEMORY_PRIORITY_ALLOCATE_INFO_EXT }; - if(m_UseExtMemoryPriority) - { - VMA_ASSERT(priority >= 0.f && priority <= 1.f); - priorityInfo.priority = priority; - VmaPnextChainPushFront(&allocInfo, &priorityInfo); - } -#endif // #if VMA_MEMORY_PRIORITY - -#if VMA_EXTERNAL_MEMORY - // Attach VkExportMemoryAllocateInfoKHR if necessary. - VkExportMemoryAllocateInfoKHR exportMemoryAllocInfo = { VK_STRUCTURE_TYPE_EXPORT_MEMORY_ALLOCATE_INFO_KHR }; - exportMemoryAllocInfo.handleTypes = GetExternalMemoryHandleTypeFlags(memTypeIndex); - if(exportMemoryAllocInfo.handleTypes != 0) - { - VmaPnextChainPushFront(&allocInfo, &exportMemoryAllocInfo); - } -#endif // #if VMA_EXTERNAL_MEMORY - - size_t allocIndex; - VkResult res = VK_SUCCESS; - for(allocIndex = 0; allocIndex < allocationCount; ++allocIndex) - { - res = AllocateDedicatedMemoryPage( - pool, - size, - suballocType, - memTypeIndex, - allocInfo, - map, - isUserDataString, - isMappingAllowed, - pUserData, - pAllocations + allocIndex); - if(res != VK_SUCCESS) - { - break; - } - } - - if(res == VK_SUCCESS) - { - for (allocIndex = 0; allocIndex < allocationCount; ++allocIndex) - { - dedicatedAllocations.Register(pAllocations[allocIndex]); - } - VMA_DEBUG_LOG_FORMAT(" Allocated DedicatedMemory Count=%zu, MemoryTypeIndex=#%u", allocationCount, memTypeIndex); - } - else - { - // Free all already created allocations. - while(allocIndex--) - { - VmaAllocation currAlloc = pAllocations[allocIndex]; - VkDeviceMemory hMemory = currAlloc->GetMemory(); - - /* - There is no need to call this, because Vulkan spec allows to skip vkUnmapMemory - before vkFreeMemory. - - if(currAlloc->GetMappedData() != VMA_NULL) - { - (*m_VulkanFunctions.vkUnmapMemory)(m_hDevice, hMemory); - } - */ - - FreeVulkanMemory(memTypeIndex, currAlloc->GetSize(), hMemory); - m_Budget.RemoveAllocation(MemoryTypeIndexToHeapIndex(memTypeIndex), currAlloc->GetSize()); - m_AllocationObjectAllocator.Free(currAlloc); - } - - memset(pAllocations, 0, sizeof(VmaAllocation) * allocationCount); - } - - return res; -} - -VkResult VmaAllocator_T::AllocateDedicatedMemoryPage( - VmaPool pool, - VkDeviceSize size, - VmaSuballocationType suballocType, - uint32_t memTypeIndex, - const VkMemoryAllocateInfo& allocInfo, - bool map, - bool isUserDataString, - bool isMappingAllowed, - void* pUserData, - VmaAllocation* pAllocation) -{ - VkDeviceMemory hMemory = VK_NULL_HANDLE; - VkResult res = AllocateVulkanMemory(&allocInfo, &hMemory); - if(res < 0) - { - VMA_DEBUG_LOG(" vkAllocateMemory FAILED"); - return res; - } - - void* pMappedData = VMA_NULL; - if(map) - { - res = (*m_VulkanFunctions.vkMapMemory)( - m_hDevice, - hMemory, - 0, - VK_WHOLE_SIZE, - 0, - &pMappedData); - if(res < 0) - { - VMA_DEBUG_LOG(" vkMapMemory FAILED"); - FreeVulkanMemory(memTypeIndex, size, hMemory); - return res; - } - } - - *pAllocation = m_AllocationObjectAllocator.Allocate(isMappingAllowed); - (*pAllocation)->InitDedicatedAllocation(pool, memTypeIndex, hMemory, suballocType, pMappedData, size); - if (isUserDataString) - (*pAllocation)->SetName(this, (const char*)pUserData); - else - (*pAllocation)->SetUserData(this, pUserData); - m_Budget.AddAllocation(MemoryTypeIndexToHeapIndex(memTypeIndex), size); - if(VMA_DEBUG_INITIALIZE_ALLOCATIONS) - { - FillAllocation(*pAllocation, VMA_ALLOCATION_FILL_PATTERN_CREATED); - } - - return VK_SUCCESS; -} - -void VmaAllocator_T::GetBufferMemoryRequirements( - VkBuffer hBuffer, - VkMemoryRequirements& memReq, - bool& requiresDedicatedAllocation, - bool& prefersDedicatedAllocation) const -{ -#if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 - if(m_UseKhrDedicatedAllocation || m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) - { - VkBufferMemoryRequirementsInfo2KHR memReqInfo = { VK_STRUCTURE_TYPE_BUFFER_MEMORY_REQUIREMENTS_INFO_2_KHR }; - memReqInfo.buffer = hBuffer; - - VkMemoryDedicatedRequirementsKHR memDedicatedReq = { VK_STRUCTURE_TYPE_MEMORY_DEDICATED_REQUIREMENTS_KHR }; - - VkMemoryRequirements2KHR memReq2 = { VK_STRUCTURE_TYPE_MEMORY_REQUIREMENTS_2_KHR }; - VmaPnextChainPushFront(&memReq2, &memDedicatedReq); - - (*m_VulkanFunctions.vkGetBufferMemoryRequirements2KHR)(m_hDevice, &memReqInfo, &memReq2); - - memReq = memReq2.memoryRequirements; - requiresDedicatedAllocation = (memDedicatedReq.requiresDedicatedAllocation != VK_FALSE); - prefersDedicatedAllocation = (memDedicatedReq.prefersDedicatedAllocation != VK_FALSE); - } - else -#endif // #if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 - { - (*m_VulkanFunctions.vkGetBufferMemoryRequirements)(m_hDevice, hBuffer, &memReq); - requiresDedicatedAllocation = false; - prefersDedicatedAllocation = false; - } -} - -void VmaAllocator_T::GetImageMemoryRequirements( - VkImage hImage, - VkMemoryRequirements& memReq, - bool& requiresDedicatedAllocation, - bool& prefersDedicatedAllocation) const -{ -#if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 - if(m_UseKhrDedicatedAllocation || m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) - { - VkImageMemoryRequirementsInfo2KHR memReqInfo = { VK_STRUCTURE_TYPE_IMAGE_MEMORY_REQUIREMENTS_INFO_2_KHR }; - memReqInfo.image = hImage; - - VkMemoryDedicatedRequirementsKHR memDedicatedReq = { VK_STRUCTURE_TYPE_MEMORY_DEDICATED_REQUIREMENTS_KHR }; - - VkMemoryRequirements2KHR memReq2 = { VK_STRUCTURE_TYPE_MEMORY_REQUIREMENTS_2_KHR }; - VmaPnextChainPushFront(&memReq2, &memDedicatedReq); - - (*m_VulkanFunctions.vkGetImageMemoryRequirements2KHR)(m_hDevice, &memReqInfo, &memReq2); - - memReq = memReq2.memoryRequirements; - requiresDedicatedAllocation = (memDedicatedReq.requiresDedicatedAllocation != VK_FALSE); - prefersDedicatedAllocation = (memDedicatedReq.prefersDedicatedAllocation != VK_FALSE); - } - else -#endif // #if VMA_DEDICATED_ALLOCATION || VMA_VULKAN_VERSION >= 1001000 - { - (*m_VulkanFunctions.vkGetImageMemoryRequirements)(m_hDevice, hImage, &memReq); - requiresDedicatedAllocation = false; - prefersDedicatedAllocation = false; - } -} - -VkResult VmaAllocator_T::FindMemoryTypeIndex( - uint32_t memoryTypeBits, - const VmaAllocationCreateInfo* pAllocationCreateInfo, - VkFlags bufImgUsage, - uint32_t* pMemoryTypeIndex) const -{ - memoryTypeBits &= GetGlobalMemoryTypeBits(); - - if(pAllocationCreateInfo->memoryTypeBits != 0) - { - memoryTypeBits &= pAllocationCreateInfo->memoryTypeBits; - } - - VkMemoryPropertyFlags requiredFlags = 0, preferredFlags = 0, notPreferredFlags = 0; - if(!FindMemoryPreferences( - IsIntegratedGpu(), - *pAllocationCreateInfo, - bufImgUsage, - requiredFlags, preferredFlags, notPreferredFlags)) - { - return VK_ERROR_FEATURE_NOT_PRESENT; - } - - *pMemoryTypeIndex = UINT32_MAX; - uint32_t minCost = UINT32_MAX; - for(uint32_t memTypeIndex = 0, memTypeBit = 1; - memTypeIndex < GetMemoryTypeCount(); - ++memTypeIndex, memTypeBit <<= 1) - { - // This memory type is acceptable according to memoryTypeBits bitmask. - if((memTypeBit & memoryTypeBits) != 0) - { - const VkMemoryPropertyFlags currFlags = - m_MemProps.memoryTypes[memTypeIndex].propertyFlags; - // This memory type contains requiredFlags. - if((requiredFlags & ~currFlags) == 0) - { - // Calculate cost as number of bits from preferredFlags not present in this memory type. - uint32_t currCost = VMA_COUNT_BITS_SET(preferredFlags & ~currFlags) + - VMA_COUNT_BITS_SET(currFlags & notPreferredFlags); - // Remember memory type with lowest cost. - if(currCost < minCost) - { - *pMemoryTypeIndex = memTypeIndex; - if(currCost == 0) - { - return VK_SUCCESS; - } - minCost = currCost; - } - } - } - } - return (*pMemoryTypeIndex != UINT32_MAX) ? VK_SUCCESS : VK_ERROR_FEATURE_NOT_PRESENT; -} - -VkResult VmaAllocator_T::CalcMemTypeParams( - VmaAllocationCreateInfo& inoutCreateInfo, - uint32_t memTypeIndex, - VkDeviceSize size, - size_t allocationCount) -{ - // If memory type is not HOST_VISIBLE, disable MAPPED. - if((inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_MAPPED_BIT) != 0 && - (m_MemProps.memoryTypes[memTypeIndex].propertyFlags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) == 0) - { - inoutCreateInfo.flags &= ~VMA_ALLOCATION_CREATE_MAPPED_BIT; - } - - if((inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT) != 0 && - (inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_WITHIN_BUDGET_BIT) != 0) - { - const uint32_t heapIndex = MemoryTypeIndexToHeapIndex(memTypeIndex); - VmaBudget heapBudget = {}; - GetHeapBudgets(&heapBudget, heapIndex, 1); - if(heapBudget.usage + size * allocationCount > heapBudget.budget) - { - return VK_ERROR_OUT_OF_DEVICE_MEMORY; - } - } - return VK_SUCCESS; -} - -VkResult VmaAllocator_T::CalcAllocationParams( - VmaAllocationCreateInfo& inoutCreateInfo, - bool dedicatedRequired, - bool dedicatedPreferred) -{ - VMA_ASSERT((inoutCreateInfo.flags & - (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != - (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT) && - "Specifying both flags VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT and VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT is incorrect."); - VMA_ASSERT((((inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT) == 0 || - (inoutCreateInfo.flags & (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0)) && - "Specifying VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT requires also VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT."); - if(inoutCreateInfo.usage == VMA_MEMORY_USAGE_AUTO || inoutCreateInfo.usage == VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE || inoutCreateInfo.usage == VMA_MEMORY_USAGE_AUTO_PREFER_HOST) - { - if((inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_MAPPED_BIT) != 0) - { - VMA_ASSERT((inoutCreateInfo.flags & (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) != 0 && - "When using VMA_ALLOCATION_CREATE_MAPPED_BIT and usage = VMA_MEMORY_USAGE_AUTO*, you must also specify VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT."); - } - } - - // If memory is lazily allocated, it should be always dedicated. - if(dedicatedRequired || - inoutCreateInfo.usage == VMA_MEMORY_USAGE_GPU_LAZILY_ALLOCATED) - { - inoutCreateInfo.flags |= VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT; - } - - if(inoutCreateInfo.pool != VK_NULL_HANDLE) - { - if(inoutCreateInfo.pool->m_BlockVector.HasExplicitBlockSize() && - (inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT) != 0) - { - VMA_ASSERT(0 && "Specifying VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT while current custom pool doesn't support dedicated allocations."); - return VK_ERROR_FEATURE_NOT_PRESENT; - } - inoutCreateInfo.priority = inoutCreateInfo.pool->m_BlockVector.GetPriority(); - } - - if((inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT) != 0 && - (inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT) != 0) - { - VMA_ASSERT(0 && "Specifying VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT together with VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT makes no sense."); - return VK_ERROR_FEATURE_NOT_PRESENT; - } - - if(VMA_DEBUG_ALWAYS_DEDICATED_MEMORY && - (inoutCreateInfo.flags & VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT) != 0) - { - inoutCreateInfo.flags |= VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT; - } - - // Non-auto USAGE values imply HOST_ACCESS flags. - // And so does VMA_MEMORY_USAGE_UNKNOWN because it is used with custom pools. - // Which specific flag is used doesn't matter. They change things only when used with VMA_MEMORY_USAGE_AUTO*. - // Otherwise they just protect from assert on mapping. - if(inoutCreateInfo.usage != VMA_MEMORY_USAGE_AUTO && - inoutCreateInfo.usage != VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE && - inoutCreateInfo.usage != VMA_MEMORY_USAGE_AUTO_PREFER_HOST) - { - if((inoutCreateInfo.flags & (VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT)) == 0) - { - inoutCreateInfo.flags |= VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT; - } - } - - return VK_SUCCESS; -} - -VkResult VmaAllocator_T::AllocateMemory( - const VkMemoryRequirements& vkMemReq, - bool requiresDedicatedAllocation, - bool prefersDedicatedAllocation, - VkBuffer dedicatedBuffer, - VkImage dedicatedImage, - VkFlags dedicatedBufferImageUsage, - const VmaAllocationCreateInfo& createInfo, - VmaSuballocationType suballocType, - size_t allocationCount, - VmaAllocation* pAllocations) -{ - memset(pAllocations, 0, sizeof(VmaAllocation) * allocationCount); - - VMA_ASSERT(VmaIsPow2(vkMemReq.alignment)); - - if(vkMemReq.size == 0) - { - return VK_ERROR_INITIALIZATION_FAILED; - } - - VmaAllocationCreateInfo createInfoFinal = createInfo; - VkResult res = CalcAllocationParams(createInfoFinal, requiresDedicatedAllocation, prefersDedicatedAllocation); - if(res != VK_SUCCESS) - return res; - - if(createInfoFinal.pool != VK_NULL_HANDLE) - { - VmaBlockVector& blockVector = createInfoFinal.pool->m_BlockVector; - return AllocateMemoryOfType( - createInfoFinal.pool, - vkMemReq.size, - vkMemReq.alignment, - prefersDedicatedAllocation, - dedicatedBuffer, - dedicatedImage, - dedicatedBufferImageUsage, - createInfoFinal, - blockVector.GetMemoryTypeIndex(), - suballocType, - createInfoFinal.pool->m_DedicatedAllocations, - blockVector, - allocationCount, - pAllocations); - } - else - { - // Bit mask of memory Vulkan types acceptable for this allocation. - uint32_t memoryTypeBits = vkMemReq.memoryTypeBits; - uint32_t memTypeIndex = UINT32_MAX; - res = FindMemoryTypeIndex(memoryTypeBits, &createInfoFinal, dedicatedBufferImageUsage, &memTypeIndex); - // Can't find any single memory type matching requirements. res is VK_ERROR_FEATURE_NOT_PRESENT. - if(res != VK_SUCCESS) - return res; - do - { - VmaBlockVector* blockVector = m_pBlockVectors[memTypeIndex]; - VMA_ASSERT(blockVector && "Trying to use unsupported memory type!"); - res = AllocateMemoryOfType( - VK_NULL_HANDLE, - vkMemReq.size, - vkMemReq.alignment, - requiresDedicatedAllocation || prefersDedicatedAllocation, - dedicatedBuffer, - dedicatedImage, - dedicatedBufferImageUsage, - createInfoFinal, - memTypeIndex, - suballocType, - m_DedicatedAllocations[memTypeIndex], - *blockVector, - allocationCount, - pAllocations); - // Allocation succeeded - if(res == VK_SUCCESS) - return VK_SUCCESS; - - // Remove old memTypeIndex from list of possibilities. - memoryTypeBits &= ~(1u << memTypeIndex); - // Find alternative memTypeIndex. - res = FindMemoryTypeIndex(memoryTypeBits, &createInfoFinal, dedicatedBufferImageUsage, &memTypeIndex); - } while(res == VK_SUCCESS); - - // No other matching memory type index could be found. - // Not returning res, which is VK_ERROR_FEATURE_NOT_PRESENT, because we already failed to allocate once. - return VK_ERROR_OUT_OF_DEVICE_MEMORY; - } -} - -void VmaAllocator_T::FreeMemory( - size_t allocationCount, - const VmaAllocation* pAllocations) -{ - VMA_ASSERT(pAllocations); - - for(size_t allocIndex = allocationCount; allocIndex--; ) - { - VmaAllocation allocation = pAllocations[allocIndex]; - - if(allocation != VK_NULL_HANDLE) - { - if(VMA_DEBUG_INITIALIZE_ALLOCATIONS) - { - FillAllocation(allocation, VMA_ALLOCATION_FILL_PATTERN_DESTROYED); - } - - allocation->FreeName(this); - - switch(allocation->GetType()) - { - case VmaAllocation_T::ALLOCATION_TYPE_BLOCK: - { - VmaBlockVector* pBlockVector = VMA_NULL; - VmaPool hPool = allocation->GetParentPool(); - if(hPool != VK_NULL_HANDLE) - { - pBlockVector = &hPool->m_BlockVector; - } - else - { - const uint32_t memTypeIndex = allocation->GetMemoryTypeIndex(); - pBlockVector = m_pBlockVectors[memTypeIndex]; - VMA_ASSERT(pBlockVector && "Trying to free memory of unsupported type!"); - } - pBlockVector->Free(allocation); - } - break; - case VmaAllocation_T::ALLOCATION_TYPE_DEDICATED: - FreeDedicatedMemory(allocation); - break; - default: - VMA_ASSERT(0); - } - } - } -} - -void VmaAllocator_T::CalculateStatistics(VmaTotalStatistics* pStats) -{ - // Initialize. - VmaClearDetailedStatistics(pStats->total); - for(uint32_t i = 0; i < VK_MAX_MEMORY_TYPES; ++i) - VmaClearDetailedStatistics(pStats->memoryType[i]); - for(uint32_t i = 0; i < VK_MAX_MEMORY_HEAPS; ++i) - VmaClearDetailedStatistics(pStats->memoryHeap[i]); - - // Process default pools. - for(uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) - { - VmaBlockVector* const pBlockVector = m_pBlockVectors[memTypeIndex]; - if (pBlockVector != VMA_NULL) - pBlockVector->AddDetailedStatistics(pStats->memoryType[memTypeIndex]); - } - - // Process custom pools. - { - VmaMutexLockRead lock(m_PoolsMutex, m_UseMutex); - for(VmaPool pool = m_Pools.Front(); pool != VMA_NULL; pool = m_Pools.GetNext(pool)) - { - VmaBlockVector& blockVector = pool->m_BlockVector; - const uint32_t memTypeIndex = blockVector.GetMemoryTypeIndex(); - blockVector.AddDetailedStatistics(pStats->memoryType[memTypeIndex]); - pool->m_DedicatedAllocations.AddDetailedStatistics(pStats->memoryType[memTypeIndex]); - } - } - - // Process dedicated allocations. - for(uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) - { - m_DedicatedAllocations[memTypeIndex].AddDetailedStatistics(pStats->memoryType[memTypeIndex]); - } - - // Sum from memory types to memory heaps. - for(uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) - { - const uint32_t memHeapIndex = m_MemProps.memoryTypes[memTypeIndex].heapIndex; - VmaAddDetailedStatistics(pStats->memoryHeap[memHeapIndex], pStats->memoryType[memTypeIndex]); - } - - // Sum from memory heaps to total. - for(uint32_t memHeapIndex = 0; memHeapIndex < GetMemoryHeapCount(); ++memHeapIndex) - VmaAddDetailedStatistics(pStats->total, pStats->memoryHeap[memHeapIndex]); - - VMA_ASSERT(pStats->total.statistics.allocationCount == 0 || - pStats->total.allocationSizeMax >= pStats->total.allocationSizeMin); - VMA_ASSERT(pStats->total.unusedRangeCount == 0 || - pStats->total.unusedRangeSizeMax >= pStats->total.unusedRangeSizeMin); -} - -void VmaAllocator_T::GetHeapBudgets(VmaBudget* outBudgets, uint32_t firstHeap, uint32_t heapCount) -{ -#if VMA_MEMORY_BUDGET - if(m_UseExtMemoryBudget) - { - if(m_Budget.m_OperationsSinceBudgetFetch < 30) - { - VmaMutexLockRead lockRead(m_Budget.m_BudgetMutex, m_UseMutex); - for(uint32_t i = 0; i < heapCount; ++i, ++outBudgets) - { - const uint32_t heapIndex = firstHeap + i; - - outBudgets->statistics.blockCount = m_Budget.m_BlockCount[heapIndex]; - outBudgets->statistics.allocationCount = m_Budget.m_AllocationCount[heapIndex]; - outBudgets->statistics.blockBytes = m_Budget.m_BlockBytes[heapIndex]; - outBudgets->statistics.allocationBytes = m_Budget.m_AllocationBytes[heapIndex]; - - if(m_Budget.m_VulkanUsage[heapIndex] + outBudgets->statistics.blockBytes > m_Budget.m_BlockBytesAtBudgetFetch[heapIndex]) - { - outBudgets->usage = m_Budget.m_VulkanUsage[heapIndex] + - outBudgets->statistics.blockBytes - m_Budget.m_BlockBytesAtBudgetFetch[heapIndex]; - } - else - { - outBudgets->usage = 0; - } - - // Have to take MIN with heap size because explicit HeapSizeLimit is included in it. - outBudgets->budget = VMA_MIN( - m_Budget.m_VulkanBudget[heapIndex], m_MemProps.memoryHeaps[heapIndex].size); - } - } - else - { - UpdateVulkanBudget(); // Outside of mutex lock - GetHeapBudgets(outBudgets, firstHeap, heapCount); // Recursion - } - } - else -#endif - { - for(uint32_t i = 0; i < heapCount; ++i, ++outBudgets) - { - const uint32_t heapIndex = firstHeap + i; - - outBudgets->statistics.blockCount = m_Budget.m_BlockCount[heapIndex]; - outBudgets->statistics.allocationCount = m_Budget.m_AllocationCount[heapIndex]; - outBudgets->statistics.blockBytes = m_Budget.m_BlockBytes[heapIndex]; - outBudgets->statistics.allocationBytes = m_Budget.m_AllocationBytes[heapIndex]; - - outBudgets->usage = outBudgets->statistics.blockBytes; - outBudgets->budget = m_MemProps.memoryHeaps[heapIndex].size * 8 / 10; // 80% heuristics. - } - } -} - -void VmaAllocator_T::GetAllocationInfo(VmaAllocation hAllocation, VmaAllocationInfo* pAllocationInfo) -{ - pAllocationInfo->memoryType = hAllocation->GetMemoryTypeIndex(); - pAllocationInfo->deviceMemory = hAllocation->GetMemory(); - pAllocationInfo->offset = hAllocation->GetOffset(); - pAllocationInfo->size = hAllocation->GetSize(); - pAllocationInfo->pMappedData = hAllocation->GetMappedData(); - pAllocationInfo->pUserData = hAllocation->GetUserData(); - pAllocationInfo->pName = hAllocation->GetName(); -} - -VkResult VmaAllocator_T::CreatePool(const VmaPoolCreateInfo* pCreateInfo, VmaPool* pPool) -{ - VMA_DEBUG_LOG_FORMAT(" CreatePool: MemoryTypeIndex=%u, flags=%u", pCreateInfo->memoryTypeIndex, pCreateInfo->flags); - - VmaPoolCreateInfo newCreateInfo = *pCreateInfo; - - // Protection against uninitialized new structure member. If garbage data are left there, this pointer dereference would crash. - if(pCreateInfo->pMemoryAllocateNext) - { - VMA_ASSERT(((const VkBaseInStructure*)pCreateInfo->pMemoryAllocateNext)->sType != 0); - } - - if(newCreateInfo.maxBlockCount == 0) - { - newCreateInfo.maxBlockCount = SIZE_MAX; - } - if(newCreateInfo.minBlockCount > newCreateInfo.maxBlockCount) - { - return VK_ERROR_INITIALIZATION_FAILED; - } - // Memory type index out of range or forbidden. - if(pCreateInfo->memoryTypeIndex >= GetMemoryTypeCount() || - ((1u << pCreateInfo->memoryTypeIndex) & m_GlobalMemoryTypeBits) == 0) - { - return VK_ERROR_FEATURE_NOT_PRESENT; - } - if(newCreateInfo.minAllocationAlignment > 0) - { - VMA_ASSERT(VmaIsPow2(newCreateInfo.minAllocationAlignment)); - } - - const VkDeviceSize preferredBlockSize = CalcPreferredBlockSize(newCreateInfo.memoryTypeIndex); - - *pPool = vma_new(this, VmaPool_T)(this, newCreateInfo, preferredBlockSize); - - VkResult res = (*pPool)->m_BlockVector.CreateMinBlocks(); - if(res != VK_SUCCESS) - { - vma_delete(this, *pPool); - *pPool = VMA_NULL; - return res; - } - - // Add to m_Pools. - { - VmaMutexLockWrite lock(m_PoolsMutex, m_UseMutex); - (*pPool)->SetId(m_NextPoolId++); - m_Pools.PushBack(*pPool); - } - - return VK_SUCCESS; -} - -void VmaAllocator_T::DestroyPool(VmaPool pool) -{ - // Remove from m_Pools. - { - VmaMutexLockWrite lock(m_PoolsMutex, m_UseMutex); - m_Pools.Remove(pool); - } - - vma_delete(this, pool); -} - -void VmaAllocator_T::GetPoolStatistics(VmaPool pool, VmaStatistics* pPoolStats) -{ - VmaClearStatistics(*pPoolStats); - pool->m_BlockVector.AddStatistics(*pPoolStats); - pool->m_DedicatedAllocations.AddStatistics(*pPoolStats); -} - -void VmaAllocator_T::CalculatePoolStatistics(VmaPool pool, VmaDetailedStatistics* pPoolStats) -{ - VmaClearDetailedStatistics(*pPoolStats); - pool->m_BlockVector.AddDetailedStatistics(*pPoolStats); - pool->m_DedicatedAllocations.AddDetailedStatistics(*pPoolStats); -} - -void VmaAllocator_T::SetCurrentFrameIndex(uint32_t frameIndex) -{ - m_CurrentFrameIndex.store(frameIndex); - -#if VMA_MEMORY_BUDGET - if(m_UseExtMemoryBudget) - { - UpdateVulkanBudget(); - } -#endif // #if VMA_MEMORY_BUDGET -} - -VkResult VmaAllocator_T::CheckPoolCorruption(VmaPool hPool) -{ - return hPool->m_BlockVector.CheckCorruption(); -} - -VkResult VmaAllocator_T::CheckCorruption(uint32_t memoryTypeBits) -{ - VkResult finalRes = VK_ERROR_FEATURE_NOT_PRESENT; - - // Process default pools. - for(uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) - { - VmaBlockVector* const pBlockVector = m_pBlockVectors[memTypeIndex]; - if(pBlockVector != VMA_NULL) - { - VkResult localRes = pBlockVector->CheckCorruption(); - switch(localRes) - { - case VK_ERROR_FEATURE_NOT_PRESENT: - break; - case VK_SUCCESS: - finalRes = VK_SUCCESS; - break; - default: - return localRes; - } - } - } - - // Process custom pools. - { - VmaMutexLockRead lock(m_PoolsMutex, m_UseMutex); - for(VmaPool pool = m_Pools.Front(); pool != VMA_NULL; pool = m_Pools.GetNext(pool)) - { - if(((1u << pool->m_BlockVector.GetMemoryTypeIndex()) & memoryTypeBits) != 0) - { - VkResult localRes = pool->m_BlockVector.CheckCorruption(); - switch(localRes) - { - case VK_ERROR_FEATURE_NOT_PRESENT: - break; - case VK_SUCCESS: - finalRes = VK_SUCCESS; - break; - default: - return localRes; - } - } - } - } - - return finalRes; -} - -VkResult VmaAllocator_T::AllocateVulkanMemory(const VkMemoryAllocateInfo* pAllocateInfo, VkDeviceMemory* pMemory) -{ - AtomicTransactionalIncrement deviceMemoryCountIncrement; - const uint64_t prevDeviceMemoryCount = deviceMemoryCountIncrement.Increment(&m_DeviceMemoryCount); -#if VMA_DEBUG_DONT_EXCEED_MAX_MEMORY_ALLOCATION_COUNT - if(prevDeviceMemoryCount >= m_PhysicalDeviceProperties.limits.maxMemoryAllocationCount) - { - return VK_ERROR_TOO_MANY_OBJECTS; - } -#endif - - const uint32_t heapIndex = MemoryTypeIndexToHeapIndex(pAllocateInfo->memoryTypeIndex); - - // HeapSizeLimit is in effect for this heap. - if((m_HeapSizeLimitMask & (1u << heapIndex)) != 0) - { - const VkDeviceSize heapSize = m_MemProps.memoryHeaps[heapIndex].size; - VkDeviceSize blockBytes = m_Budget.m_BlockBytes[heapIndex]; - for(;;) - { - const VkDeviceSize blockBytesAfterAllocation = blockBytes + pAllocateInfo->allocationSize; - if(blockBytesAfterAllocation > heapSize) - { - return VK_ERROR_OUT_OF_DEVICE_MEMORY; - } - if(m_Budget.m_BlockBytes[heapIndex].compare_exchange_strong(blockBytes, blockBytesAfterAllocation)) - { - break; - } - } - } - else - { - m_Budget.m_BlockBytes[heapIndex] += pAllocateInfo->allocationSize; - } - ++m_Budget.m_BlockCount[heapIndex]; - - // VULKAN CALL vkAllocateMemory. - VkResult res = (*m_VulkanFunctions.vkAllocateMemory)(m_hDevice, pAllocateInfo, GetAllocationCallbacks(), pMemory); - - if(res == VK_SUCCESS) - { -#if VMA_MEMORY_BUDGET - ++m_Budget.m_OperationsSinceBudgetFetch; -#endif - - // Informative callback. - if(m_DeviceMemoryCallbacks.pfnAllocate != VMA_NULL) - { - (*m_DeviceMemoryCallbacks.pfnAllocate)(this, pAllocateInfo->memoryTypeIndex, *pMemory, pAllocateInfo->allocationSize, m_DeviceMemoryCallbacks.pUserData); - } - - deviceMemoryCountIncrement.Commit(); - } - else - { - --m_Budget.m_BlockCount[heapIndex]; - m_Budget.m_BlockBytes[heapIndex] -= pAllocateInfo->allocationSize; - } - - return res; -} - -void VmaAllocator_T::FreeVulkanMemory(uint32_t memoryType, VkDeviceSize size, VkDeviceMemory hMemory) -{ - // Informative callback. - if(m_DeviceMemoryCallbacks.pfnFree != VMA_NULL) - { - (*m_DeviceMemoryCallbacks.pfnFree)(this, memoryType, hMemory, size, m_DeviceMemoryCallbacks.pUserData); - } - - // VULKAN CALL vkFreeMemory. - (*m_VulkanFunctions.vkFreeMemory)(m_hDevice, hMemory, GetAllocationCallbacks()); - - const uint32_t heapIndex = MemoryTypeIndexToHeapIndex(memoryType); - --m_Budget.m_BlockCount[heapIndex]; - m_Budget.m_BlockBytes[heapIndex] -= size; - - --m_DeviceMemoryCount; -} - -VkResult VmaAllocator_T::BindVulkanBuffer( - VkDeviceMemory memory, - VkDeviceSize memoryOffset, - VkBuffer buffer, - const void* pNext) -{ - if(pNext != VMA_NULL) - { -#if VMA_VULKAN_VERSION >= 1001000 || VMA_BIND_MEMORY2 - if((m_UseKhrBindMemory2 || m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) && - m_VulkanFunctions.vkBindBufferMemory2KHR != VMA_NULL) - { - VkBindBufferMemoryInfoKHR bindBufferMemoryInfo = { VK_STRUCTURE_TYPE_BIND_BUFFER_MEMORY_INFO_KHR }; - bindBufferMemoryInfo.pNext = pNext; - bindBufferMemoryInfo.buffer = buffer; - bindBufferMemoryInfo.memory = memory; - bindBufferMemoryInfo.memoryOffset = memoryOffset; - return (*m_VulkanFunctions.vkBindBufferMemory2KHR)(m_hDevice, 1, &bindBufferMemoryInfo); - } - else -#endif // #if VMA_VULKAN_VERSION >= 1001000 || VMA_BIND_MEMORY2 - { - return VK_ERROR_EXTENSION_NOT_PRESENT; - } - } - else - { - return (*m_VulkanFunctions.vkBindBufferMemory)(m_hDevice, buffer, memory, memoryOffset); - } -} - -VkResult VmaAllocator_T::BindVulkanImage( - VkDeviceMemory memory, - VkDeviceSize memoryOffset, - VkImage image, - const void* pNext) -{ - if(pNext != VMA_NULL) - { -#if VMA_VULKAN_VERSION >= 1001000 || VMA_BIND_MEMORY2 - if((m_UseKhrBindMemory2 || m_VulkanApiVersion >= VK_MAKE_VERSION(1, 1, 0)) && - m_VulkanFunctions.vkBindImageMemory2KHR != VMA_NULL) - { - VkBindImageMemoryInfoKHR bindBufferMemoryInfo = { VK_STRUCTURE_TYPE_BIND_IMAGE_MEMORY_INFO_KHR }; - bindBufferMemoryInfo.pNext = pNext; - bindBufferMemoryInfo.image = image; - bindBufferMemoryInfo.memory = memory; - bindBufferMemoryInfo.memoryOffset = memoryOffset; - return (*m_VulkanFunctions.vkBindImageMemory2KHR)(m_hDevice, 1, &bindBufferMemoryInfo); - } - else -#endif // #if VMA_BIND_MEMORY2 - { - return VK_ERROR_EXTENSION_NOT_PRESENT; - } - } - else - { - return (*m_VulkanFunctions.vkBindImageMemory)(m_hDevice, image, memory, memoryOffset); - } -} - -VkResult VmaAllocator_T::Map(VmaAllocation hAllocation, void** ppData) -{ - switch(hAllocation->GetType()) - { - case VmaAllocation_T::ALLOCATION_TYPE_BLOCK: - { - VmaDeviceMemoryBlock* const pBlock = hAllocation->GetBlock(); - char *pBytes = VMA_NULL; - VkResult res = pBlock->Map(this, 1, (void**)&pBytes); - if(res == VK_SUCCESS) - { - *ppData = pBytes + (ptrdiff_t)hAllocation->GetOffset(); - hAllocation->BlockAllocMap(); - } - return res; - } - VMA_FALLTHROUGH; // Fallthrough - case VmaAllocation_T::ALLOCATION_TYPE_DEDICATED: - return hAllocation->DedicatedAllocMap(this, ppData); - default: - VMA_ASSERT(0); - return VK_ERROR_MEMORY_MAP_FAILED; - } -} - -void VmaAllocator_T::Unmap(VmaAllocation hAllocation) -{ - switch(hAllocation->GetType()) - { - case VmaAllocation_T::ALLOCATION_TYPE_BLOCK: - { - VmaDeviceMemoryBlock* const pBlock = hAllocation->GetBlock(); - hAllocation->BlockAllocUnmap(); - pBlock->Unmap(this, 1); - } - break; - case VmaAllocation_T::ALLOCATION_TYPE_DEDICATED: - hAllocation->DedicatedAllocUnmap(this); - break; - default: - VMA_ASSERT(0); - } -} - -VkResult VmaAllocator_T::BindBufferMemory( - VmaAllocation hAllocation, - VkDeviceSize allocationLocalOffset, - VkBuffer hBuffer, - const void* pNext) -{ - VkResult res = VK_ERROR_UNKNOWN; - switch(hAllocation->GetType()) - { - case VmaAllocation_T::ALLOCATION_TYPE_DEDICATED: - res = BindVulkanBuffer(hAllocation->GetMemory(), allocationLocalOffset, hBuffer, pNext); - break; - case VmaAllocation_T::ALLOCATION_TYPE_BLOCK: - { - VmaDeviceMemoryBlock* const pBlock = hAllocation->GetBlock(); - VMA_ASSERT(pBlock && "Binding buffer to allocation that doesn't belong to any block."); - res = pBlock->BindBufferMemory(this, hAllocation, allocationLocalOffset, hBuffer, pNext); - break; - } - default: - VMA_ASSERT(0); - } - return res; -} - -VkResult VmaAllocator_T::BindImageMemory( - VmaAllocation hAllocation, - VkDeviceSize allocationLocalOffset, - VkImage hImage, - const void* pNext) -{ - VkResult res = VK_ERROR_UNKNOWN; - switch(hAllocation->GetType()) - { - case VmaAllocation_T::ALLOCATION_TYPE_DEDICATED: - res = BindVulkanImage(hAllocation->GetMemory(), allocationLocalOffset, hImage, pNext); - break; - case VmaAllocation_T::ALLOCATION_TYPE_BLOCK: - { - VmaDeviceMemoryBlock* pBlock = hAllocation->GetBlock(); - VMA_ASSERT(pBlock && "Binding image to allocation that doesn't belong to any block."); - res = pBlock->BindImageMemory(this, hAllocation, allocationLocalOffset, hImage, pNext); - break; - } - default: - VMA_ASSERT(0); - } - return res; -} - -VkResult VmaAllocator_T::FlushOrInvalidateAllocation( - VmaAllocation hAllocation, - VkDeviceSize offset, VkDeviceSize size, - VMA_CACHE_OPERATION op) -{ - VkResult res = VK_SUCCESS; - - VkMappedMemoryRange memRange = {}; - if(GetFlushOrInvalidateRange(hAllocation, offset, size, memRange)) - { - switch(op) - { - case VMA_CACHE_FLUSH: - res = (*GetVulkanFunctions().vkFlushMappedMemoryRanges)(m_hDevice, 1, &memRange); - break; - case VMA_CACHE_INVALIDATE: - res = (*GetVulkanFunctions().vkInvalidateMappedMemoryRanges)(m_hDevice, 1, &memRange); - break; - default: - VMA_ASSERT(0); - } - } - // else: Just ignore this call. - return res; -} - -VkResult VmaAllocator_T::FlushOrInvalidateAllocations( - uint32_t allocationCount, - const VmaAllocation* allocations, - const VkDeviceSize* offsets, const VkDeviceSize* sizes, - VMA_CACHE_OPERATION op) -{ - typedef VmaStlAllocator RangeAllocator; - typedef VmaSmallVector RangeVector; - RangeVector ranges = RangeVector(RangeAllocator(GetAllocationCallbacks())); - - for(uint32_t allocIndex = 0; allocIndex < allocationCount; ++allocIndex) - { - const VmaAllocation alloc = allocations[allocIndex]; - const VkDeviceSize offset = offsets != VMA_NULL ? offsets[allocIndex] : 0; - const VkDeviceSize size = sizes != VMA_NULL ? sizes[allocIndex] : VK_WHOLE_SIZE; - VkMappedMemoryRange newRange; - if(GetFlushOrInvalidateRange(alloc, offset, size, newRange)) - { - ranges.push_back(newRange); - } - } - - VkResult res = VK_SUCCESS; - if(!ranges.empty()) - { - switch(op) - { - case VMA_CACHE_FLUSH: - res = (*GetVulkanFunctions().vkFlushMappedMemoryRanges)(m_hDevice, (uint32_t)ranges.size(), ranges.data()); - break; - case VMA_CACHE_INVALIDATE: - res = (*GetVulkanFunctions().vkInvalidateMappedMemoryRanges)(m_hDevice, (uint32_t)ranges.size(), ranges.data()); - break; - default: - VMA_ASSERT(0); - } - } - // else: Just ignore this call. - return res; -} - -void VmaAllocator_T::FreeDedicatedMemory(const VmaAllocation allocation) -{ - VMA_ASSERT(allocation && allocation->GetType() == VmaAllocation_T::ALLOCATION_TYPE_DEDICATED); - - const uint32_t memTypeIndex = allocation->GetMemoryTypeIndex(); - VmaPool parentPool = allocation->GetParentPool(); - if(parentPool == VK_NULL_HANDLE) - { - // Default pool - m_DedicatedAllocations[memTypeIndex].Unregister(allocation); - } - else - { - // Custom pool - parentPool->m_DedicatedAllocations.Unregister(allocation); - } - - VkDeviceMemory hMemory = allocation->GetMemory(); - - /* - There is no need to call this, because Vulkan spec allows to skip vkUnmapMemory - before vkFreeMemory. - - if(allocation->GetMappedData() != VMA_NULL) - { - (*m_VulkanFunctions.vkUnmapMemory)(m_hDevice, hMemory); - } - */ - - FreeVulkanMemory(memTypeIndex, allocation->GetSize(), hMemory); - - m_Budget.RemoveAllocation(MemoryTypeIndexToHeapIndex(allocation->GetMemoryTypeIndex()), allocation->GetSize()); - m_AllocationObjectAllocator.Free(allocation); - - VMA_DEBUG_LOG_FORMAT(" Freed DedicatedMemory MemoryTypeIndex=%u", memTypeIndex); -} - -uint32_t VmaAllocator_T::CalculateGpuDefragmentationMemoryTypeBits() const -{ - VkBufferCreateInfo dummyBufCreateInfo; - VmaFillGpuDefragmentationBufferCreateInfo(dummyBufCreateInfo); - - uint32_t memoryTypeBits = 0; - - // Create buffer. - VkBuffer buf = VK_NULL_HANDLE; - VkResult res = (*GetVulkanFunctions().vkCreateBuffer)( - m_hDevice, &dummyBufCreateInfo, GetAllocationCallbacks(), &buf); - if(res == VK_SUCCESS) - { - // Query for supported memory types. - VkMemoryRequirements memReq; - (*GetVulkanFunctions().vkGetBufferMemoryRequirements)(m_hDevice, buf, &memReq); - memoryTypeBits = memReq.memoryTypeBits; - - // Destroy buffer. - (*GetVulkanFunctions().vkDestroyBuffer)(m_hDevice, buf, GetAllocationCallbacks()); - } - - return memoryTypeBits; -} - -uint32_t VmaAllocator_T::CalculateGlobalMemoryTypeBits() const -{ - // Make sure memory information is already fetched. - VMA_ASSERT(GetMemoryTypeCount() > 0); - - uint32_t memoryTypeBits = UINT32_MAX; - - if(!m_UseAmdDeviceCoherentMemory) - { - // Exclude memory types that have VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD. - for(uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) - { - if((m_MemProps.memoryTypes[memTypeIndex].propertyFlags & VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD_COPY) != 0) - { - memoryTypeBits &= ~(1u << memTypeIndex); - } - } - } - - return memoryTypeBits; -} - -bool VmaAllocator_T::GetFlushOrInvalidateRange( - VmaAllocation allocation, - VkDeviceSize offset, VkDeviceSize size, - VkMappedMemoryRange& outRange) const -{ - const uint32_t memTypeIndex = allocation->GetMemoryTypeIndex(); - if(size > 0 && IsMemoryTypeNonCoherent(memTypeIndex)) - { - const VkDeviceSize nonCoherentAtomSize = m_PhysicalDeviceProperties.limits.nonCoherentAtomSize; - const VkDeviceSize allocationSize = allocation->GetSize(); - VMA_ASSERT(offset <= allocationSize); - - outRange.sType = VK_STRUCTURE_TYPE_MAPPED_MEMORY_RANGE; - outRange.pNext = VMA_NULL; - outRange.memory = allocation->GetMemory(); - - switch(allocation->GetType()) - { - case VmaAllocation_T::ALLOCATION_TYPE_DEDICATED: - outRange.offset = VmaAlignDown(offset, nonCoherentAtomSize); - if(size == VK_WHOLE_SIZE) - { - outRange.size = allocationSize - outRange.offset; - } - else - { - VMA_ASSERT(offset + size <= allocationSize); - outRange.size = VMA_MIN( - VmaAlignUp(size + (offset - outRange.offset), nonCoherentAtomSize), - allocationSize - outRange.offset); - } - break; - case VmaAllocation_T::ALLOCATION_TYPE_BLOCK: - { - // 1. Still within this allocation. - outRange.offset = VmaAlignDown(offset, nonCoherentAtomSize); - if(size == VK_WHOLE_SIZE) - { - size = allocationSize - offset; - } - else - { - VMA_ASSERT(offset + size <= allocationSize); - } - outRange.size = VmaAlignUp(size + (offset - outRange.offset), nonCoherentAtomSize); - - // 2. Adjust to whole block. - const VkDeviceSize allocationOffset = allocation->GetOffset(); - VMA_ASSERT(allocationOffset % nonCoherentAtomSize == 0); - const VkDeviceSize blockSize = allocation->GetBlock()->m_pMetadata->GetSize(); - outRange.offset += allocationOffset; - outRange.size = VMA_MIN(outRange.size, blockSize - outRange.offset); - - break; - } - default: - VMA_ASSERT(0); - } - return true; - } - return false; -} - -#if VMA_MEMORY_BUDGET -void VmaAllocator_T::UpdateVulkanBudget() -{ - VMA_ASSERT(m_UseExtMemoryBudget); - - VkPhysicalDeviceMemoryProperties2KHR memProps = { VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_MEMORY_PROPERTIES_2_KHR }; - - VkPhysicalDeviceMemoryBudgetPropertiesEXT budgetProps = { VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_MEMORY_BUDGET_PROPERTIES_EXT }; - VmaPnextChainPushFront(&memProps, &budgetProps); - - GetVulkanFunctions().vkGetPhysicalDeviceMemoryProperties2KHR(m_PhysicalDevice, &memProps); - - { - VmaMutexLockWrite lockWrite(m_Budget.m_BudgetMutex, m_UseMutex); - - for(uint32_t heapIndex = 0; heapIndex < GetMemoryHeapCount(); ++heapIndex) - { - m_Budget.m_VulkanUsage[heapIndex] = budgetProps.heapUsage[heapIndex]; - m_Budget.m_VulkanBudget[heapIndex] = budgetProps.heapBudget[heapIndex]; - m_Budget.m_BlockBytesAtBudgetFetch[heapIndex] = m_Budget.m_BlockBytes[heapIndex].load(); - - // Some bugged drivers return the budget incorrectly, e.g. 0 or much bigger than heap size. - if(m_Budget.m_VulkanBudget[heapIndex] == 0) - { - m_Budget.m_VulkanBudget[heapIndex] = m_MemProps.memoryHeaps[heapIndex].size * 8 / 10; // 80% heuristics. - } - else if(m_Budget.m_VulkanBudget[heapIndex] > m_MemProps.memoryHeaps[heapIndex].size) - { - m_Budget.m_VulkanBudget[heapIndex] = m_MemProps.memoryHeaps[heapIndex].size; - } - if(m_Budget.m_VulkanUsage[heapIndex] == 0 && m_Budget.m_BlockBytesAtBudgetFetch[heapIndex] > 0) - { - m_Budget.m_VulkanUsage[heapIndex] = m_Budget.m_BlockBytesAtBudgetFetch[heapIndex]; - } - } - m_Budget.m_OperationsSinceBudgetFetch = 0; - } -} -#endif // VMA_MEMORY_BUDGET - -void VmaAllocator_T::FillAllocation(const VmaAllocation hAllocation, uint8_t pattern) -{ - if(VMA_DEBUG_INITIALIZE_ALLOCATIONS && - hAllocation->IsMappingAllowed() && - (m_MemProps.memoryTypes[hAllocation->GetMemoryTypeIndex()].propertyFlags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) != 0) - { - void* pData = VMA_NULL; - VkResult res = Map(hAllocation, &pData); - if(res == VK_SUCCESS) - { - memset(pData, (int)pattern, (size_t)hAllocation->GetSize()); - FlushOrInvalidateAllocation(hAllocation, 0, VK_WHOLE_SIZE, VMA_CACHE_FLUSH); - Unmap(hAllocation); - } - else - { - VMA_ASSERT(0 && "VMA_DEBUG_INITIALIZE_ALLOCATIONS is enabled, but couldn't map memory to fill allocation."); - } - } -} - -uint32_t VmaAllocator_T::GetGpuDefragmentationMemoryTypeBits() -{ - uint32_t memoryTypeBits = m_GpuDefragmentationMemoryTypeBits.load(); - if(memoryTypeBits == UINT32_MAX) - { - memoryTypeBits = CalculateGpuDefragmentationMemoryTypeBits(); - m_GpuDefragmentationMemoryTypeBits.store(memoryTypeBits); - } - return memoryTypeBits; -} - -#if VMA_STATS_STRING_ENABLED -void VmaAllocator_T::PrintDetailedMap(VmaJsonWriter& json) -{ - json.WriteString("DefaultPools"); - json.BeginObject(); - { - for (uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) - { - VmaBlockVector* pBlockVector = m_pBlockVectors[memTypeIndex]; - VmaDedicatedAllocationList& dedicatedAllocList = m_DedicatedAllocations[memTypeIndex]; - if (pBlockVector != VMA_NULL) - { - json.BeginString("Type "); - json.ContinueString(memTypeIndex); - json.EndString(); - json.BeginObject(); - { - json.WriteString("PreferredBlockSize"); - json.WriteNumber(pBlockVector->GetPreferredBlockSize()); - - json.WriteString("Blocks"); - pBlockVector->PrintDetailedMap(json); - - json.WriteString("DedicatedAllocations"); - dedicatedAllocList.BuildStatsString(json); - } - json.EndObject(); - } - } - } - json.EndObject(); - - json.WriteString("CustomPools"); - json.BeginObject(); - { - VmaMutexLockRead lock(m_PoolsMutex, m_UseMutex); - if (!m_Pools.IsEmpty()) - { - for (uint32_t memTypeIndex = 0; memTypeIndex < GetMemoryTypeCount(); ++memTypeIndex) - { - bool displayType = true; - size_t index = 0; - for (VmaPool pool = m_Pools.Front(); pool != VMA_NULL; pool = m_Pools.GetNext(pool)) - { - VmaBlockVector& blockVector = pool->m_BlockVector; - if (blockVector.GetMemoryTypeIndex() == memTypeIndex) - { - if (displayType) - { - json.BeginString("Type "); - json.ContinueString(memTypeIndex); - json.EndString(); - json.BeginArray(); - displayType = false; - } - - json.BeginObject(); - { - json.WriteString("Name"); - json.BeginString(); - json.ContinueString((uint64_t)index++); - if (pool->GetName()) - { - json.ContinueString(" - "); - json.ContinueString(pool->GetName()); - } - json.EndString(); - - json.WriteString("PreferredBlockSize"); - json.WriteNumber(blockVector.GetPreferredBlockSize()); - - json.WriteString("Blocks"); - blockVector.PrintDetailedMap(json); - - json.WriteString("DedicatedAllocations"); - pool->m_DedicatedAllocations.BuildStatsString(json); - } - json.EndObject(); - } - } - - if (!displayType) - json.EndArray(); - } - } - } - json.EndObject(); -} -#endif // VMA_STATS_STRING_ENABLED -#endif // _VMA_ALLOCATOR_T_FUNCTIONS - - -#ifndef _VMA_PUBLIC_INTERFACE -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAllocator( - const VmaAllocatorCreateInfo* pCreateInfo, - VmaAllocator* pAllocator) -{ - VMA_ASSERT(pCreateInfo && pAllocator); - VMA_ASSERT(pCreateInfo->vulkanApiVersion == 0 || - (VK_VERSION_MAJOR(pCreateInfo->vulkanApiVersion) == 1 && VK_VERSION_MINOR(pCreateInfo->vulkanApiVersion) <= 3)); - VMA_DEBUG_LOG("vmaCreateAllocator"); - *pAllocator = vma_new(pCreateInfo->pAllocationCallbacks, VmaAllocator_T)(pCreateInfo); - VkResult result = (*pAllocator)->Init(pCreateInfo); - if(result < 0) - { - vma_delete(pCreateInfo->pAllocationCallbacks, *pAllocator); - *pAllocator = VK_NULL_HANDLE; - } - return result; -} - -VMA_CALL_PRE void VMA_CALL_POST vmaDestroyAllocator( - VmaAllocator allocator) -{ - if(allocator != VK_NULL_HANDLE) - { - VMA_DEBUG_LOG("vmaDestroyAllocator"); - VkAllocationCallbacks allocationCallbacks = allocator->m_AllocationCallbacks; // Have to copy the callbacks when destroying. - vma_delete(&allocationCallbacks, allocator); - } -} - -VMA_CALL_PRE void VMA_CALL_POST vmaGetAllocatorInfo(VmaAllocator allocator, VmaAllocatorInfo* pAllocatorInfo) -{ - VMA_ASSERT(allocator && pAllocatorInfo); - pAllocatorInfo->instance = allocator->m_hInstance; - pAllocatorInfo->physicalDevice = allocator->GetPhysicalDevice(); - pAllocatorInfo->device = allocator->m_hDevice; -} - -VMA_CALL_PRE void VMA_CALL_POST vmaGetPhysicalDeviceProperties( - VmaAllocator allocator, - const VkPhysicalDeviceProperties **ppPhysicalDeviceProperties) -{ - VMA_ASSERT(allocator && ppPhysicalDeviceProperties); - *ppPhysicalDeviceProperties = &allocator->m_PhysicalDeviceProperties; -} - -VMA_CALL_PRE void VMA_CALL_POST vmaGetMemoryProperties( - VmaAllocator allocator, - const VkPhysicalDeviceMemoryProperties** ppPhysicalDeviceMemoryProperties) -{ - VMA_ASSERT(allocator && ppPhysicalDeviceMemoryProperties); - *ppPhysicalDeviceMemoryProperties = &allocator->m_MemProps; -} - -VMA_CALL_PRE void VMA_CALL_POST vmaGetMemoryTypeProperties( - VmaAllocator allocator, - uint32_t memoryTypeIndex, - VkMemoryPropertyFlags* pFlags) -{ - VMA_ASSERT(allocator && pFlags); - VMA_ASSERT(memoryTypeIndex < allocator->GetMemoryTypeCount()); - *pFlags = allocator->m_MemProps.memoryTypes[memoryTypeIndex].propertyFlags; -} - -VMA_CALL_PRE void VMA_CALL_POST vmaSetCurrentFrameIndex( - VmaAllocator allocator, - uint32_t frameIndex) -{ - VMA_ASSERT(allocator); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - allocator->SetCurrentFrameIndex(frameIndex); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaCalculateStatistics( - VmaAllocator allocator, - VmaTotalStatistics* pStats) -{ - VMA_ASSERT(allocator && pStats); - VMA_DEBUG_GLOBAL_MUTEX_LOCK - allocator->CalculateStatistics(pStats); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaGetHeapBudgets( - VmaAllocator allocator, - VmaBudget* pBudgets) -{ - VMA_ASSERT(allocator && pBudgets); - VMA_DEBUG_GLOBAL_MUTEX_LOCK - allocator->GetHeapBudgets(pBudgets, 0, allocator->GetMemoryHeapCount()); -} - -#if VMA_STATS_STRING_ENABLED - -VMA_CALL_PRE void VMA_CALL_POST vmaBuildStatsString( - VmaAllocator allocator, - char** ppStatsString, - VkBool32 detailedMap) -{ - VMA_ASSERT(allocator && ppStatsString); - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - VmaStringBuilder sb(allocator->GetAllocationCallbacks()); - { - VmaBudget budgets[VK_MAX_MEMORY_HEAPS]; - allocator->GetHeapBudgets(budgets, 0, allocator->GetMemoryHeapCount()); - - VmaTotalStatistics stats; - allocator->CalculateStatistics(&stats); - - VmaJsonWriter json(allocator->GetAllocationCallbacks(), sb); - json.BeginObject(); - { - json.WriteString("General"); - json.BeginObject(); - { - const VkPhysicalDeviceProperties& deviceProperties = allocator->m_PhysicalDeviceProperties; - const VkPhysicalDeviceMemoryProperties& memoryProperties = allocator->m_MemProps; - - json.WriteString("API"); - json.WriteString("Vulkan"); - - json.WriteString("apiVersion"); - json.BeginString(); - json.ContinueString(VK_VERSION_MAJOR(deviceProperties.apiVersion)); - json.ContinueString("."); - json.ContinueString(VK_VERSION_MINOR(deviceProperties.apiVersion)); - json.ContinueString("."); - json.ContinueString(VK_VERSION_PATCH(deviceProperties.apiVersion)); - json.EndString(); - - json.WriteString("GPU"); - json.WriteString(deviceProperties.deviceName); - json.WriteString("deviceType"); - json.WriteNumber(static_cast(deviceProperties.deviceType)); - - json.WriteString("maxMemoryAllocationCount"); - json.WriteNumber(deviceProperties.limits.maxMemoryAllocationCount); - json.WriteString("bufferImageGranularity"); - json.WriteNumber(deviceProperties.limits.bufferImageGranularity); - json.WriteString("nonCoherentAtomSize"); - json.WriteNumber(deviceProperties.limits.nonCoherentAtomSize); - - json.WriteString("memoryHeapCount"); - json.WriteNumber(memoryProperties.memoryHeapCount); - json.WriteString("memoryTypeCount"); - json.WriteNumber(memoryProperties.memoryTypeCount); - } - json.EndObject(); - } - { - json.WriteString("Total"); - VmaPrintDetailedStatistics(json, stats.total); - } - { - json.WriteString("MemoryInfo"); - json.BeginObject(); - { - for (uint32_t heapIndex = 0; heapIndex < allocator->GetMemoryHeapCount(); ++heapIndex) - { - json.BeginString("Heap "); - json.ContinueString(heapIndex); - json.EndString(); - json.BeginObject(); - { - const VkMemoryHeap& heapInfo = allocator->m_MemProps.memoryHeaps[heapIndex]; - json.WriteString("Flags"); - json.BeginArray(true); - { - if (heapInfo.flags & VK_MEMORY_HEAP_DEVICE_LOCAL_BIT) - json.WriteString("DEVICE_LOCAL"); - #if VMA_VULKAN_VERSION >= 1001000 - if (heapInfo.flags & VK_MEMORY_HEAP_MULTI_INSTANCE_BIT) - json.WriteString("MULTI_INSTANCE"); - #endif - - VkMemoryHeapFlags flags = heapInfo.flags & - ~(VK_MEMORY_HEAP_DEVICE_LOCAL_BIT - #if VMA_VULKAN_VERSION >= 1001000 - | VK_MEMORY_HEAP_MULTI_INSTANCE_BIT - #endif - ); - if (flags != 0) - json.WriteNumber(flags); - } - json.EndArray(); - - json.WriteString("Size"); - json.WriteNumber(heapInfo.size); - - json.WriteString("Budget"); - json.BeginObject(); - { - json.WriteString("BudgetBytes"); - json.WriteNumber(budgets[heapIndex].budget); - json.WriteString("UsageBytes"); - json.WriteNumber(budgets[heapIndex].usage); - } - json.EndObject(); - - json.WriteString("Stats"); - VmaPrintDetailedStatistics(json, stats.memoryHeap[heapIndex]); - - json.WriteString("MemoryPools"); - json.BeginObject(); - { - for (uint32_t typeIndex = 0; typeIndex < allocator->GetMemoryTypeCount(); ++typeIndex) - { - if (allocator->MemoryTypeIndexToHeapIndex(typeIndex) == heapIndex) - { - json.BeginString("Type "); - json.ContinueString(typeIndex); - json.EndString(); - json.BeginObject(); - { - json.WriteString("Flags"); - json.BeginArray(true); - { - VkMemoryPropertyFlags flags = allocator->m_MemProps.memoryTypes[typeIndex].propertyFlags; - if (flags & VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT) - json.WriteString("DEVICE_LOCAL"); - if (flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) - json.WriteString("HOST_VISIBLE"); - if (flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT) - json.WriteString("HOST_COHERENT"); - if (flags & VK_MEMORY_PROPERTY_HOST_CACHED_BIT) - json.WriteString("HOST_CACHED"); - if (flags & VK_MEMORY_PROPERTY_LAZILY_ALLOCATED_BIT) - json.WriteString("LAZILY_ALLOCATED"); - #if VMA_VULKAN_VERSION >= 1001000 - if (flags & VK_MEMORY_PROPERTY_PROTECTED_BIT) - json.WriteString("PROTECTED"); - #endif - #if VK_AMD_device_coherent_memory - if (flags & VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD_COPY) - json.WriteString("DEVICE_COHERENT_AMD"); - if (flags & VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD_COPY) - json.WriteString("DEVICE_UNCACHED_AMD"); - #endif - - flags &= ~(VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT - #if VMA_VULKAN_VERSION >= 1001000 - | VK_MEMORY_PROPERTY_LAZILY_ALLOCATED_BIT - #endif - #if VK_AMD_device_coherent_memory - | VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD_COPY - | VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD_COPY - #endif - | VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT - | VK_MEMORY_PROPERTY_HOST_COHERENT_BIT - | VK_MEMORY_PROPERTY_HOST_CACHED_BIT); - if (flags != 0) - json.WriteNumber(flags); - } - json.EndArray(); - - json.WriteString("Stats"); - VmaPrintDetailedStatistics(json, stats.memoryType[typeIndex]); - } - json.EndObject(); - } - } - - } - json.EndObject(); - } - json.EndObject(); - } - } - json.EndObject(); - } - - if (detailedMap == VK_TRUE) - allocator->PrintDetailedMap(json); - - json.EndObject(); - } - - *ppStatsString = VmaCreateStringCopy(allocator->GetAllocationCallbacks(), sb.GetData(), sb.GetLength()); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaFreeStatsString( - VmaAllocator allocator, - char* pStatsString) -{ - if(pStatsString != VMA_NULL) - { - VMA_ASSERT(allocator); - VmaFreeString(allocator->GetAllocationCallbacks(), pStatsString); - } -} - -#endif // VMA_STATS_STRING_ENABLED - -/* -This function is not protected by any mutex because it just reads immutable data. -*/ -VMA_CALL_PRE VkResult VMA_CALL_POST vmaFindMemoryTypeIndex( - VmaAllocator allocator, - uint32_t memoryTypeBits, - const VmaAllocationCreateInfo* pAllocationCreateInfo, - uint32_t* pMemoryTypeIndex) -{ - VMA_ASSERT(allocator != VK_NULL_HANDLE); - VMA_ASSERT(pAllocationCreateInfo != VMA_NULL); - VMA_ASSERT(pMemoryTypeIndex != VMA_NULL); - - return allocator->FindMemoryTypeIndex(memoryTypeBits, pAllocationCreateInfo, UINT32_MAX, pMemoryTypeIndex); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaFindMemoryTypeIndexForBufferInfo( - VmaAllocator allocator, - const VkBufferCreateInfo* pBufferCreateInfo, - const VmaAllocationCreateInfo* pAllocationCreateInfo, - uint32_t* pMemoryTypeIndex) -{ - VMA_ASSERT(allocator != VK_NULL_HANDLE); - VMA_ASSERT(pBufferCreateInfo != VMA_NULL); - VMA_ASSERT(pAllocationCreateInfo != VMA_NULL); - VMA_ASSERT(pMemoryTypeIndex != VMA_NULL); - - const VkDevice hDev = allocator->m_hDevice; - const VmaVulkanFunctions* funcs = &allocator->GetVulkanFunctions(); - VkResult res; - -#if VMA_VULKAN_VERSION >= 1003000 - if(funcs->vkGetDeviceBufferMemoryRequirements) - { - // Can query straight from VkBufferCreateInfo :) - VkDeviceBufferMemoryRequirements devBufMemReq = {VK_STRUCTURE_TYPE_DEVICE_BUFFER_MEMORY_REQUIREMENTS}; - devBufMemReq.pCreateInfo = pBufferCreateInfo; - - VkMemoryRequirements2 memReq = {VK_STRUCTURE_TYPE_MEMORY_REQUIREMENTS_2}; - (*funcs->vkGetDeviceBufferMemoryRequirements)(hDev, &devBufMemReq, &memReq); - - res = allocator->FindMemoryTypeIndex( - memReq.memoryRequirements.memoryTypeBits, pAllocationCreateInfo, pBufferCreateInfo->usage, pMemoryTypeIndex); - } - else -#endif // #if VMA_VULKAN_VERSION >= 1003000 - { - // Must create a dummy buffer to query :( - VkBuffer hBuffer = VK_NULL_HANDLE; - res = funcs->vkCreateBuffer( - hDev, pBufferCreateInfo, allocator->GetAllocationCallbacks(), &hBuffer); - if(res == VK_SUCCESS) - { - VkMemoryRequirements memReq = {}; - funcs->vkGetBufferMemoryRequirements(hDev, hBuffer, &memReq); - - res = allocator->FindMemoryTypeIndex( - memReq.memoryTypeBits, pAllocationCreateInfo, pBufferCreateInfo->usage, pMemoryTypeIndex); - - funcs->vkDestroyBuffer( - hDev, hBuffer, allocator->GetAllocationCallbacks()); - } - } - return res; -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaFindMemoryTypeIndexForImageInfo( - VmaAllocator allocator, - const VkImageCreateInfo* pImageCreateInfo, - const VmaAllocationCreateInfo* pAllocationCreateInfo, - uint32_t* pMemoryTypeIndex) -{ - VMA_ASSERT(allocator != VK_NULL_HANDLE); - VMA_ASSERT(pImageCreateInfo != VMA_NULL); - VMA_ASSERT(pAllocationCreateInfo != VMA_NULL); - VMA_ASSERT(pMemoryTypeIndex != VMA_NULL); - - const VkDevice hDev = allocator->m_hDevice; - const VmaVulkanFunctions* funcs = &allocator->GetVulkanFunctions(); - VkResult res; - -#if VMA_VULKAN_VERSION >= 1003000 - if(funcs->vkGetDeviceImageMemoryRequirements) - { - // Can query straight from VkImageCreateInfo :) - VkDeviceImageMemoryRequirements devImgMemReq = {VK_STRUCTURE_TYPE_DEVICE_IMAGE_MEMORY_REQUIREMENTS}; - devImgMemReq.pCreateInfo = pImageCreateInfo; - VMA_ASSERT(pImageCreateInfo->tiling != VK_IMAGE_TILING_DRM_FORMAT_MODIFIER_EXT_COPY && (pImageCreateInfo->flags & VK_IMAGE_CREATE_DISJOINT_BIT_COPY) == 0 && - "Cannot use this VkImageCreateInfo with vmaFindMemoryTypeIndexForImageInfo as I don't know what to pass as VkDeviceImageMemoryRequirements::planeAspect."); - - VkMemoryRequirements2 memReq = {VK_STRUCTURE_TYPE_MEMORY_REQUIREMENTS_2}; - (*funcs->vkGetDeviceImageMemoryRequirements)(hDev, &devImgMemReq, &memReq); - - res = allocator->FindMemoryTypeIndex( - memReq.memoryRequirements.memoryTypeBits, pAllocationCreateInfo, pImageCreateInfo->usage, pMemoryTypeIndex); - } - else -#endif // #if VMA_VULKAN_VERSION >= 1003000 - { - // Must create a dummy image to query :( - VkImage hImage = VK_NULL_HANDLE; - res = funcs->vkCreateImage( - hDev, pImageCreateInfo, allocator->GetAllocationCallbacks(), &hImage); - if(res == VK_SUCCESS) - { - VkMemoryRequirements memReq = {}; - funcs->vkGetImageMemoryRequirements(hDev, hImage, &memReq); - - res = allocator->FindMemoryTypeIndex( - memReq.memoryTypeBits, pAllocationCreateInfo, pImageCreateInfo->usage, pMemoryTypeIndex); - - funcs->vkDestroyImage( - hDev, hImage, allocator->GetAllocationCallbacks()); - } - } - return res; -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreatePool( - VmaAllocator allocator, - const VmaPoolCreateInfo* pCreateInfo, - VmaPool* pPool) -{ - VMA_ASSERT(allocator && pCreateInfo && pPool); - - VMA_DEBUG_LOG("vmaCreatePool"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - return allocator->CreatePool(pCreateInfo, pPool); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaDestroyPool( - VmaAllocator allocator, - VmaPool pool) -{ - VMA_ASSERT(allocator); - - if(pool == VK_NULL_HANDLE) - { - return; - } - - VMA_DEBUG_LOG("vmaDestroyPool"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - allocator->DestroyPool(pool); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaGetPoolStatistics( - VmaAllocator allocator, - VmaPool pool, - VmaStatistics* pPoolStats) -{ - VMA_ASSERT(allocator && pool && pPoolStats); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - allocator->GetPoolStatistics(pool, pPoolStats); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaCalculatePoolStatistics( - VmaAllocator allocator, - VmaPool pool, - VmaDetailedStatistics* pPoolStats) -{ - VMA_ASSERT(allocator && pool && pPoolStats); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - allocator->CalculatePoolStatistics(pool, pPoolStats); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCheckPoolCorruption(VmaAllocator allocator, VmaPool pool) -{ - VMA_ASSERT(allocator && pool); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - VMA_DEBUG_LOG("vmaCheckPoolCorruption"); - - return allocator->CheckPoolCorruption(pool); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaGetPoolName( - VmaAllocator allocator, - VmaPool pool, - const char** ppName) -{ - VMA_ASSERT(allocator && pool && ppName); - - VMA_DEBUG_LOG("vmaGetPoolName"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - *ppName = pool->GetName(); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaSetPoolName( - VmaAllocator allocator, - VmaPool pool, - const char* pName) -{ - VMA_ASSERT(allocator && pool); - - VMA_DEBUG_LOG("vmaSetPoolName"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - pool->SetName(pName); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemory( - VmaAllocator allocator, - const VkMemoryRequirements* pVkMemoryRequirements, - const VmaAllocationCreateInfo* pCreateInfo, - VmaAllocation* pAllocation, - VmaAllocationInfo* pAllocationInfo) -{ - VMA_ASSERT(allocator && pVkMemoryRequirements && pCreateInfo && pAllocation); - - VMA_DEBUG_LOG("vmaAllocateMemory"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - VkResult result = allocator->AllocateMemory( - *pVkMemoryRequirements, - false, // requiresDedicatedAllocation - false, // prefersDedicatedAllocation - VK_NULL_HANDLE, // dedicatedBuffer - VK_NULL_HANDLE, // dedicatedImage - UINT32_MAX, // dedicatedBufferImageUsage - *pCreateInfo, - VMA_SUBALLOCATION_TYPE_UNKNOWN, - 1, // allocationCount - pAllocation); - - if(pAllocationInfo != VMA_NULL && result == VK_SUCCESS) - { - allocator->GetAllocationInfo(*pAllocation, pAllocationInfo); - } - - return result; -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemoryPages( - VmaAllocator allocator, - const VkMemoryRequirements* pVkMemoryRequirements, - const VmaAllocationCreateInfo* pCreateInfo, - size_t allocationCount, - VmaAllocation* pAllocations, - VmaAllocationInfo* pAllocationInfo) -{ - if(allocationCount == 0) - { - return VK_SUCCESS; - } - - VMA_ASSERT(allocator && pVkMemoryRequirements && pCreateInfo && pAllocations); - - VMA_DEBUG_LOG("vmaAllocateMemoryPages"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - VkResult result = allocator->AllocateMemory( - *pVkMemoryRequirements, - false, // requiresDedicatedAllocation - false, // prefersDedicatedAllocation - VK_NULL_HANDLE, // dedicatedBuffer - VK_NULL_HANDLE, // dedicatedImage - UINT32_MAX, // dedicatedBufferImageUsage - *pCreateInfo, - VMA_SUBALLOCATION_TYPE_UNKNOWN, - allocationCount, - pAllocations); - - if(pAllocationInfo != VMA_NULL && result == VK_SUCCESS) - { - for(size_t i = 0; i < allocationCount; ++i) - { - allocator->GetAllocationInfo(pAllocations[i], pAllocationInfo + i); - } - } - - return result; -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemoryForBuffer( - VmaAllocator allocator, - VkBuffer buffer, - const VmaAllocationCreateInfo* pCreateInfo, - VmaAllocation* pAllocation, - VmaAllocationInfo* pAllocationInfo) -{ - VMA_ASSERT(allocator && buffer != VK_NULL_HANDLE && pCreateInfo && pAllocation); - - VMA_DEBUG_LOG("vmaAllocateMemoryForBuffer"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - VkMemoryRequirements vkMemReq = {}; - bool requiresDedicatedAllocation = false; - bool prefersDedicatedAllocation = false; - allocator->GetBufferMemoryRequirements(buffer, vkMemReq, - requiresDedicatedAllocation, - prefersDedicatedAllocation); - - VkResult result = allocator->AllocateMemory( - vkMemReq, - requiresDedicatedAllocation, - prefersDedicatedAllocation, - buffer, // dedicatedBuffer - VK_NULL_HANDLE, // dedicatedImage - UINT32_MAX, // dedicatedBufferImageUsage - *pCreateInfo, - VMA_SUBALLOCATION_TYPE_BUFFER, - 1, // allocationCount - pAllocation); - - if(pAllocationInfo && result == VK_SUCCESS) - { - allocator->GetAllocationInfo(*pAllocation, pAllocationInfo); - } - - return result; -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaAllocateMemoryForImage( - VmaAllocator allocator, - VkImage image, - const VmaAllocationCreateInfo* pCreateInfo, - VmaAllocation* pAllocation, - VmaAllocationInfo* pAllocationInfo) -{ - VMA_ASSERT(allocator && image != VK_NULL_HANDLE && pCreateInfo && pAllocation); - - VMA_DEBUG_LOG("vmaAllocateMemoryForImage"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - VkMemoryRequirements vkMemReq = {}; - bool requiresDedicatedAllocation = false; - bool prefersDedicatedAllocation = false; - allocator->GetImageMemoryRequirements(image, vkMemReq, - requiresDedicatedAllocation, prefersDedicatedAllocation); - - VkResult result = allocator->AllocateMemory( - vkMemReq, - requiresDedicatedAllocation, - prefersDedicatedAllocation, - VK_NULL_HANDLE, // dedicatedBuffer - image, // dedicatedImage - UINT32_MAX, // dedicatedBufferImageUsage - *pCreateInfo, - VMA_SUBALLOCATION_TYPE_IMAGE_UNKNOWN, - 1, // allocationCount - pAllocation); - - if(pAllocationInfo && result == VK_SUCCESS) - { - allocator->GetAllocationInfo(*pAllocation, pAllocationInfo); - } - - return result; -} - -VMA_CALL_PRE void VMA_CALL_POST vmaFreeMemory( - VmaAllocator allocator, - VmaAllocation allocation) -{ - VMA_ASSERT(allocator); - - if(allocation == VK_NULL_HANDLE) - { - return; - } - - VMA_DEBUG_LOG("vmaFreeMemory"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - allocator->FreeMemory( - 1, // allocationCount - &allocation); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaFreeMemoryPages( - VmaAllocator allocator, - size_t allocationCount, - const VmaAllocation* pAllocations) -{ - if(allocationCount == 0) - { - return; - } - - VMA_ASSERT(allocator); - - VMA_DEBUG_LOG("vmaFreeMemoryPages"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - allocator->FreeMemory(allocationCount, pAllocations); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaGetAllocationInfo( - VmaAllocator allocator, - VmaAllocation allocation, - VmaAllocationInfo* pAllocationInfo) -{ - VMA_ASSERT(allocator && allocation && pAllocationInfo); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - allocator->GetAllocationInfo(allocation, pAllocationInfo); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaSetAllocationUserData( - VmaAllocator allocator, - VmaAllocation allocation, - void* pUserData) -{ - VMA_ASSERT(allocator && allocation); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - allocation->SetUserData(allocator, pUserData); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaSetAllocationName( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - const char* VMA_NULLABLE pName) -{ - allocation->SetName(allocator, pName); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaGetAllocationMemoryProperties( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - VkMemoryPropertyFlags* VMA_NOT_NULL pFlags) -{ - VMA_ASSERT(allocator && allocation && pFlags); - const uint32_t memTypeIndex = allocation->GetMemoryTypeIndex(); - *pFlags = allocator->m_MemProps.memoryTypes[memTypeIndex].propertyFlags; -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaMapMemory( - VmaAllocator allocator, - VmaAllocation allocation, - void** ppData) -{ - VMA_ASSERT(allocator && allocation && ppData); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - return allocator->Map(allocation, ppData); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaUnmapMemory( - VmaAllocator allocator, - VmaAllocation allocation) -{ - VMA_ASSERT(allocator && allocation); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - allocator->Unmap(allocation); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaFlushAllocation( - VmaAllocator allocator, - VmaAllocation allocation, - VkDeviceSize offset, - VkDeviceSize size) -{ - VMA_ASSERT(allocator && allocation); - - VMA_DEBUG_LOG("vmaFlushAllocation"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - const VkResult res = allocator->FlushOrInvalidateAllocation(allocation, offset, size, VMA_CACHE_FLUSH); - - return res; -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaInvalidateAllocation( - VmaAllocator allocator, - VmaAllocation allocation, - VkDeviceSize offset, - VkDeviceSize size) -{ - VMA_ASSERT(allocator && allocation); - - VMA_DEBUG_LOG("vmaInvalidateAllocation"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - const VkResult res = allocator->FlushOrInvalidateAllocation(allocation, offset, size, VMA_CACHE_INVALIDATE); - - return res; -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaFlushAllocations( - VmaAllocator allocator, - uint32_t allocationCount, - const VmaAllocation* allocations, - const VkDeviceSize* offsets, - const VkDeviceSize* sizes) -{ - VMA_ASSERT(allocator); - - if(allocationCount == 0) - { - return VK_SUCCESS; - } - - VMA_ASSERT(allocations); - - VMA_DEBUG_LOG("vmaFlushAllocations"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - const VkResult res = allocator->FlushOrInvalidateAllocations(allocationCount, allocations, offsets, sizes, VMA_CACHE_FLUSH); - - return res; -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaInvalidateAllocations( - VmaAllocator allocator, - uint32_t allocationCount, - const VmaAllocation* allocations, - const VkDeviceSize* offsets, - const VkDeviceSize* sizes) -{ - VMA_ASSERT(allocator); - - if(allocationCount == 0) - { - return VK_SUCCESS; - } - - VMA_ASSERT(allocations); - - VMA_DEBUG_LOG("vmaInvalidateAllocations"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - const VkResult res = allocator->FlushOrInvalidateAllocations(allocationCount, allocations, offsets, sizes, VMA_CACHE_INVALIDATE); - - return res; -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCheckCorruption( - VmaAllocator allocator, - uint32_t memoryTypeBits) -{ - VMA_ASSERT(allocator); - - VMA_DEBUG_LOG("vmaCheckCorruption"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - return allocator->CheckCorruption(memoryTypeBits); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaBeginDefragmentation( - VmaAllocator allocator, - const VmaDefragmentationInfo* pInfo, - VmaDefragmentationContext* pContext) -{ - VMA_ASSERT(allocator && pInfo && pContext); - - VMA_DEBUG_LOG("vmaBeginDefragmentation"); - - if (pInfo->pool != VMA_NULL) - { - // Check if run on supported algorithms - if (pInfo->pool->m_BlockVector.GetAlgorithm() & VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT) - return VK_ERROR_FEATURE_NOT_PRESENT; - } - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - *pContext = vma_new(allocator, VmaDefragmentationContext_T)(allocator, *pInfo); - return VK_SUCCESS; -} - -VMA_CALL_PRE void VMA_CALL_POST vmaEndDefragmentation( - VmaAllocator allocator, - VmaDefragmentationContext context, - VmaDefragmentationStats* pStats) -{ - VMA_ASSERT(allocator && context); - - VMA_DEBUG_LOG("vmaEndDefragmentation"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - if (pStats) - context->GetStats(*pStats); - vma_delete(allocator, context); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaBeginDefragmentationPass( - VmaAllocator VMA_NOT_NULL allocator, - VmaDefragmentationContext VMA_NOT_NULL context, - VmaDefragmentationPassMoveInfo* VMA_NOT_NULL pPassInfo) -{ - VMA_ASSERT(context && pPassInfo); - - VMA_DEBUG_LOG("vmaBeginDefragmentationPass"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - return context->DefragmentPassBegin(*pPassInfo); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaEndDefragmentationPass( - VmaAllocator VMA_NOT_NULL allocator, - VmaDefragmentationContext VMA_NOT_NULL context, - VmaDefragmentationPassMoveInfo* VMA_NOT_NULL pPassInfo) -{ - VMA_ASSERT(context && pPassInfo); - - VMA_DEBUG_LOG("vmaEndDefragmentationPass"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - return context->DefragmentPassEnd(*pPassInfo); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindBufferMemory( - VmaAllocator allocator, - VmaAllocation allocation, - VkBuffer buffer) -{ - VMA_ASSERT(allocator && allocation && buffer); - - VMA_DEBUG_LOG("vmaBindBufferMemory"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - return allocator->BindBufferMemory(allocation, 0, buffer, VMA_NULL); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindBufferMemory2( - VmaAllocator allocator, - VmaAllocation allocation, - VkDeviceSize allocationLocalOffset, - VkBuffer buffer, - const void* pNext) -{ - VMA_ASSERT(allocator && allocation && buffer); - - VMA_DEBUG_LOG("vmaBindBufferMemory2"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - return allocator->BindBufferMemory(allocation, allocationLocalOffset, buffer, pNext); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindImageMemory( - VmaAllocator allocator, - VmaAllocation allocation, - VkImage image) -{ - VMA_ASSERT(allocator && allocation && image); - - VMA_DEBUG_LOG("vmaBindImageMemory"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - return allocator->BindImageMemory(allocation, 0, image, VMA_NULL); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaBindImageMemory2( - VmaAllocator allocator, - VmaAllocation allocation, - VkDeviceSize allocationLocalOffset, - VkImage image, - const void* pNext) -{ - VMA_ASSERT(allocator && allocation && image); - - VMA_DEBUG_LOG("vmaBindImageMemory2"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - return allocator->BindImageMemory(allocation, allocationLocalOffset, image, pNext); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateBuffer( - VmaAllocator allocator, - const VkBufferCreateInfo* pBufferCreateInfo, - const VmaAllocationCreateInfo* pAllocationCreateInfo, - VkBuffer* pBuffer, - VmaAllocation* pAllocation, - VmaAllocationInfo* pAllocationInfo) -{ - VMA_ASSERT(allocator && pBufferCreateInfo && pAllocationCreateInfo && pBuffer && pAllocation); - - if(pBufferCreateInfo->size == 0) - { - return VK_ERROR_INITIALIZATION_FAILED; - } - if((pBufferCreateInfo->usage & VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT_COPY) != 0 && - !allocator->m_UseKhrBufferDeviceAddress) - { - VMA_ASSERT(0 && "Creating a buffer with VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT is not valid if VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT was not used."); - return VK_ERROR_INITIALIZATION_FAILED; - } - - VMA_DEBUG_LOG("vmaCreateBuffer"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - *pBuffer = VK_NULL_HANDLE; - *pAllocation = VK_NULL_HANDLE; - - // 1. Create VkBuffer. - VkResult res = (*allocator->GetVulkanFunctions().vkCreateBuffer)( - allocator->m_hDevice, - pBufferCreateInfo, - allocator->GetAllocationCallbacks(), - pBuffer); - if(res >= 0) - { - // 2. vkGetBufferMemoryRequirements. - VkMemoryRequirements vkMemReq = {}; - bool requiresDedicatedAllocation = false; - bool prefersDedicatedAllocation = false; - allocator->GetBufferMemoryRequirements(*pBuffer, vkMemReq, - requiresDedicatedAllocation, prefersDedicatedAllocation); - - // 3. Allocate memory using allocator. - res = allocator->AllocateMemory( - vkMemReq, - requiresDedicatedAllocation, - prefersDedicatedAllocation, - *pBuffer, // dedicatedBuffer - VK_NULL_HANDLE, // dedicatedImage - pBufferCreateInfo->usage, // dedicatedBufferImageUsage - *pAllocationCreateInfo, - VMA_SUBALLOCATION_TYPE_BUFFER, - 1, // allocationCount - pAllocation); - - if(res >= 0) - { - // 3. Bind buffer with memory. - if((pAllocationCreateInfo->flags & VMA_ALLOCATION_CREATE_DONT_BIND_BIT) == 0) - { - res = allocator->BindBufferMemory(*pAllocation, 0, *pBuffer, VMA_NULL); - } - if(res >= 0) - { - // All steps succeeded. - #if VMA_STATS_STRING_ENABLED - (*pAllocation)->InitBufferImageUsage(pBufferCreateInfo->usage); - #endif - if(pAllocationInfo != VMA_NULL) - { - allocator->GetAllocationInfo(*pAllocation, pAllocationInfo); - } - - return VK_SUCCESS; - } - allocator->FreeMemory( - 1, // allocationCount - pAllocation); - *pAllocation = VK_NULL_HANDLE; - (*allocator->GetVulkanFunctions().vkDestroyBuffer)(allocator->m_hDevice, *pBuffer, allocator->GetAllocationCallbacks()); - *pBuffer = VK_NULL_HANDLE; - return res; - } - (*allocator->GetVulkanFunctions().vkDestroyBuffer)(allocator->m_hDevice, *pBuffer, allocator->GetAllocationCallbacks()); - *pBuffer = VK_NULL_HANDLE; - return res; - } - return res; -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateBufferWithAlignment( - VmaAllocator allocator, - const VkBufferCreateInfo* pBufferCreateInfo, - const VmaAllocationCreateInfo* pAllocationCreateInfo, - VkDeviceSize minAlignment, - VkBuffer* pBuffer, - VmaAllocation* pAllocation, - VmaAllocationInfo* pAllocationInfo) -{ - VMA_ASSERT(allocator && pBufferCreateInfo && pAllocationCreateInfo && VmaIsPow2(minAlignment) && pBuffer && pAllocation); - - if(pBufferCreateInfo->size == 0) - { - return VK_ERROR_INITIALIZATION_FAILED; - } - if((pBufferCreateInfo->usage & VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT_COPY) != 0 && - !allocator->m_UseKhrBufferDeviceAddress) - { - VMA_ASSERT(0 && "Creating a buffer with VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT is not valid if VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT was not used."); - return VK_ERROR_INITIALIZATION_FAILED; - } - - VMA_DEBUG_LOG("vmaCreateBufferWithAlignment"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - *pBuffer = VK_NULL_HANDLE; - *pAllocation = VK_NULL_HANDLE; - - // 1. Create VkBuffer. - VkResult res = (*allocator->GetVulkanFunctions().vkCreateBuffer)( - allocator->m_hDevice, - pBufferCreateInfo, - allocator->GetAllocationCallbacks(), - pBuffer); - if(res >= 0) - { - // 2. vkGetBufferMemoryRequirements. - VkMemoryRequirements vkMemReq = {}; - bool requiresDedicatedAllocation = false; - bool prefersDedicatedAllocation = false; - allocator->GetBufferMemoryRequirements(*pBuffer, vkMemReq, - requiresDedicatedAllocation, prefersDedicatedAllocation); - - // 2a. Include minAlignment - vkMemReq.alignment = VMA_MAX(vkMemReq.alignment, minAlignment); - - // 3. Allocate memory using allocator. - res = allocator->AllocateMemory( - vkMemReq, - requiresDedicatedAllocation, - prefersDedicatedAllocation, - *pBuffer, // dedicatedBuffer - VK_NULL_HANDLE, // dedicatedImage - pBufferCreateInfo->usage, // dedicatedBufferImageUsage - *pAllocationCreateInfo, - VMA_SUBALLOCATION_TYPE_BUFFER, - 1, // allocationCount - pAllocation); - - if(res >= 0) - { - // 3. Bind buffer with memory. - if((pAllocationCreateInfo->flags & VMA_ALLOCATION_CREATE_DONT_BIND_BIT) == 0) - { - res = allocator->BindBufferMemory(*pAllocation, 0, *pBuffer, VMA_NULL); - } - if(res >= 0) - { - // All steps succeeded. - #if VMA_STATS_STRING_ENABLED - (*pAllocation)->InitBufferImageUsage(pBufferCreateInfo->usage); - #endif - if(pAllocationInfo != VMA_NULL) - { - allocator->GetAllocationInfo(*pAllocation, pAllocationInfo); - } - - return VK_SUCCESS; - } - allocator->FreeMemory( - 1, // allocationCount - pAllocation); - *pAllocation = VK_NULL_HANDLE; - (*allocator->GetVulkanFunctions().vkDestroyBuffer)(allocator->m_hDevice, *pBuffer, allocator->GetAllocationCallbacks()); - *pBuffer = VK_NULL_HANDLE; - return res; - } - (*allocator->GetVulkanFunctions().vkDestroyBuffer)(allocator->m_hDevice, *pBuffer, allocator->GetAllocationCallbacks()); - *pBuffer = VK_NULL_HANDLE; - return res; - } - return res; -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingBuffer( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, - VkBuffer VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pBuffer) -{ - return vmaCreateAliasingBuffer2(allocator, allocation, 0, pBufferCreateInfo, pBuffer); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingBuffer2( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - VkDeviceSize allocationLocalOffset, - const VkBufferCreateInfo* VMA_NOT_NULL pBufferCreateInfo, - VkBuffer VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pBuffer) -{ - VMA_ASSERT(allocator && pBufferCreateInfo && pBuffer && allocation); - VMA_ASSERT(allocationLocalOffset + pBufferCreateInfo->size <= allocation->GetSize()); - - VMA_DEBUG_LOG("vmaCreateAliasingBuffer2"); - - *pBuffer = VK_NULL_HANDLE; - - if (pBufferCreateInfo->size == 0) - { - return VK_ERROR_INITIALIZATION_FAILED; - } - if ((pBufferCreateInfo->usage & VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT_COPY) != 0 && - !allocator->m_UseKhrBufferDeviceAddress) - { - VMA_ASSERT(0 && "Creating a buffer with VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT is not valid if VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT was not used."); - return VK_ERROR_INITIALIZATION_FAILED; - } - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - // 1. Create VkBuffer. - VkResult res = (*allocator->GetVulkanFunctions().vkCreateBuffer)( - allocator->m_hDevice, - pBufferCreateInfo, - allocator->GetAllocationCallbacks(), - pBuffer); - if (res >= 0) - { - // 2. Bind buffer with memory. - res = allocator->BindBufferMemory(allocation, allocationLocalOffset, *pBuffer, VMA_NULL); - if (res >= 0) - { - return VK_SUCCESS; - } - (*allocator->GetVulkanFunctions().vkDestroyBuffer)(allocator->m_hDevice, *pBuffer, allocator->GetAllocationCallbacks()); - } - return res; -} - -VMA_CALL_PRE void VMA_CALL_POST vmaDestroyBuffer( - VmaAllocator allocator, - VkBuffer buffer, - VmaAllocation allocation) -{ - VMA_ASSERT(allocator); - - if(buffer == VK_NULL_HANDLE && allocation == VK_NULL_HANDLE) - { - return; - } - - VMA_DEBUG_LOG("vmaDestroyBuffer"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - if(buffer != VK_NULL_HANDLE) - { - (*allocator->GetVulkanFunctions().vkDestroyBuffer)(allocator->m_hDevice, buffer, allocator->GetAllocationCallbacks()); - } - - if(allocation != VK_NULL_HANDLE) - { - allocator->FreeMemory( - 1, // allocationCount - &allocation); - } -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateImage( - VmaAllocator allocator, - const VkImageCreateInfo* pImageCreateInfo, - const VmaAllocationCreateInfo* pAllocationCreateInfo, - VkImage* pImage, - VmaAllocation* pAllocation, - VmaAllocationInfo* pAllocationInfo) -{ - VMA_ASSERT(allocator && pImageCreateInfo && pAllocationCreateInfo && pImage && pAllocation); - - if(pImageCreateInfo->extent.width == 0 || - pImageCreateInfo->extent.height == 0 || - pImageCreateInfo->extent.depth == 0 || - pImageCreateInfo->mipLevels == 0 || - pImageCreateInfo->arrayLayers == 0) - { - return VK_ERROR_INITIALIZATION_FAILED; - } - - VMA_DEBUG_LOG("vmaCreateImage"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - *pImage = VK_NULL_HANDLE; - *pAllocation = VK_NULL_HANDLE; - - // 1. Create VkImage. - VkResult res = (*allocator->GetVulkanFunctions().vkCreateImage)( - allocator->m_hDevice, - pImageCreateInfo, - allocator->GetAllocationCallbacks(), - pImage); - if(res >= 0) - { - VmaSuballocationType suballocType = pImageCreateInfo->tiling == VK_IMAGE_TILING_OPTIMAL ? - VMA_SUBALLOCATION_TYPE_IMAGE_OPTIMAL : - VMA_SUBALLOCATION_TYPE_IMAGE_LINEAR; - - // 2. Allocate memory using allocator. - VkMemoryRequirements vkMemReq = {}; - bool requiresDedicatedAllocation = false; - bool prefersDedicatedAllocation = false; - allocator->GetImageMemoryRequirements(*pImage, vkMemReq, - requiresDedicatedAllocation, prefersDedicatedAllocation); - - res = allocator->AllocateMemory( - vkMemReq, - requiresDedicatedAllocation, - prefersDedicatedAllocation, - VK_NULL_HANDLE, // dedicatedBuffer - *pImage, // dedicatedImage - pImageCreateInfo->usage, // dedicatedBufferImageUsage - *pAllocationCreateInfo, - suballocType, - 1, // allocationCount - pAllocation); - - if(res >= 0) - { - // 3. Bind image with memory. - if((pAllocationCreateInfo->flags & VMA_ALLOCATION_CREATE_DONT_BIND_BIT) == 0) - { - res = allocator->BindImageMemory(*pAllocation, 0, *pImage, VMA_NULL); - } - if(res >= 0) - { - // All steps succeeded. - #if VMA_STATS_STRING_ENABLED - (*pAllocation)->InitBufferImageUsage(pImageCreateInfo->usage); - #endif - if(pAllocationInfo != VMA_NULL) - { - allocator->GetAllocationInfo(*pAllocation, pAllocationInfo); - } - - return VK_SUCCESS; - } - allocator->FreeMemory( - 1, // allocationCount - pAllocation); - *pAllocation = VK_NULL_HANDLE; - (*allocator->GetVulkanFunctions().vkDestroyImage)(allocator->m_hDevice, *pImage, allocator->GetAllocationCallbacks()); - *pImage = VK_NULL_HANDLE; - return res; - } - (*allocator->GetVulkanFunctions().vkDestroyImage)(allocator->m_hDevice, *pImage, allocator->GetAllocationCallbacks()); - *pImage = VK_NULL_HANDLE; - return res; - } - return res; -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingImage( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - const VkImageCreateInfo* VMA_NOT_NULL pImageCreateInfo, - VkImage VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pImage) -{ - return vmaCreateAliasingImage2(allocator, allocation, 0, pImageCreateInfo, pImage); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateAliasingImage2( - VmaAllocator VMA_NOT_NULL allocator, - VmaAllocation VMA_NOT_NULL allocation, - VkDeviceSize allocationLocalOffset, - const VkImageCreateInfo* VMA_NOT_NULL pImageCreateInfo, - VkImage VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pImage) -{ - VMA_ASSERT(allocator && pImageCreateInfo && pImage && allocation); - - *pImage = VK_NULL_HANDLE; - - VMA_DEBUG_LOG("vmaCreateImage2"); - - if (pImageCreateInfo->extent.width == 0 || - pImageCreateInfo->extent.height == 0 || - pImageCreateInfo->extent.depth == 0 || - pImageCreateInfo->mipLevels == 0 || - pImageCreateInfo->arrayLayers == 0) - { - return VK_ERROR_INITIALIZATION_FAILED; - } - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - // 1. Create VkImage. - VkResult res = (*allocator->GetVulkanFunctions().vkCreateImage)( - allocator->m_hDevice, - pImageCreateInfo, - allocator->GetAllocationCallbacks(), - pImage); - if (res >= 0) - { - // 2. Bind image with memory. - res = allocator->BindImageMemory(allocation, allocationLocalOffset, *pImage, VMA_NULL); - if (res >= 0) - { - return VK_SUCCESS; - } - (*allocator->GetVulkanFunctions().vkDestroyImage)(allocator->m_hDevice, *pImage, allocator->GetAllocationCallbacks()); - } - return res; -} - -VMA_CALL_PRE void VMA_CALL_POST vmaDestroyImage( - VmaAllocator VMA_NOT_NULL allocator, - VkImage VMA_NULLABLE_NON_DISPATCHABLE image, - VmaAllocation VMA_NULLABLE allocation) -{ - VMA_ASSERT(allocator); - - if(image == VK_NULL_HANDLE && allocation == VK_NULL_HANDLE) - { - return; - } - - VMA_DEBUG_LOG("vmaDestroyImage"); - - VMA_DEBUG_GLOBAL_MUTEX_LOCK - - if(image != VK_NULL_HANDLE) - { - (*allocator->GetVulkanFunctions().vkDestroyImage)(allocator->m_hDevice, image, allocator->GetAllocationCallbacks()); - } - if(allocation != VK_NULL_HANDLE) - { - allocator->FreeMemory( - 1, // allocationCount - &allocation); - } -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaCreateVirtualBlock( - const VmaVirtualBlockCreateInfo* VMA_NOT_NULL pCreateInfo, - VmaVirtualBlock VMA_NULLABLE * VMA_NOT_NULL pVirtualBlock) -{ - VMA_ASSERT(pCreateInfo && pVirtualBlock); - VMA_ASSERT(pCreateInfo->size > 0); - VMA_DEBUG_LOG("vmaCreateVirtualBlock"); - VMA_DEBUG_GLOBAL_MUTEX_LOCK; - *pVirtualBlock = vma_new(pCreateInfo->pAllocationCallbacks, VmaVirtualBlock_T)(*pCreateInfo); - VkResult res = (*pVirtualBlock)->Init(); - if(res < 0) - { - vma_delete(pCreateInfo->pAllocationCallbacks, *pVirtualBlock); - *pVirtualBlock = VK_NULL_HANDLE; - } - return res; -} - -VMA_CALL_PRE void VMA_CALL_POST vmaDestroyVirtualBlock(VmaVirtualBlock VMA_NULLABLE virtualBlock) -{ - if(virtualBlock != VK_NULL_HANDLE) - { - VMA_DEBUG_LOG("vmaDestroyVirtualBlock"); - VMA_DEBUG_GLOBAL_MUTEX_LOCK; - VkAllocationCallbacks allocationCallbacks = virtualBlock->m_AllocationCallbacks; // Have to copy the callbacks when destroying. - vma_delete(&allocationCallbacks, virtualBlock); - } -} - -VMA_CALL_PRE VkBool32 VMA_CALL_POST vmaIsVirtualBlockEmpty(VmaVirtualBlock VMA_NOT_NULL virtualBlock) -{ - VMA_ASSERT(virtualBlock != VK_NULL_HANDLE); - VMA_DEBUG_LOG("vmaIsVirtualBlockEmpty"); - VMA_DEBUG_GLOBAL_MUTEX_LOCK; - return virtualBlock->IsEmpty() ? VK_TRUE : VK_FALSE; -} - -VMA_CALL_PRE void VMA_CALL_POST vmaGetVirtualAllocationInfo(VmaVirtualBlock VMA_NOT_NULL virtualBlock, - VmaVirtualAllocation VMA_NOT_NULL_NON_DISPATCHABLE allocation, VmaVirtualAllocationInfo* VMA_NOT_NULL pVirtualAllocInfo) -{ - VMA_ASSERT(virtualBlock != VK_NULL_HANDLE && pVirtualAllocInfo != VMA_NULL); - VMA_DEBUG_LOG("vmaGetVirtualAllocationInfo"); - VMA_DEBUG_GLOBAL_MUTEX_LOCK; - virtualBlock->GetAllocationInfo(allocation, *pVirtualAllocInfo); -} - -VMA_CALL_PRE VkResult VMA_CALL_POST vmaVirtualAllocate(VmaVirtualBlock VMA_NOT_NULL virtualBlock, - const VmaVirtualAllocationCreateInfo* VMA_NOT_NULL pCreateInfo, VmaVirtualAllocation VMA_NULLABLE_NON_DISPATCHABLE* VMA_NOT_NULL pAllocation, - VkDeviceSize* VMA_NULLABLE pOffset) -{ - VMA_ASSERT(virtualBlock != VK_NULL_HANDLE && pCreateInfo != VMA_NULL && pAllocation != VMA_NULL); - VMA_DEBUG_LOG("vmaVirtualAllocate"); - VMA_DEBUG_GLOBAL_MUTEX_LOCK; - return virtualBlock->Allocate(*pCreateInfo, *pAllocation, pOffset); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaVirtualFree(VmaVirtualBlock VMA_NOT_NULL virtualBlock, VmaVirtualAllocation VMA_NULLABLE_NON_DISPATCHABLE allocation) -{ - if(allocation != VK_NULL_HANDLE) - { - VMA_ASSERT(virtualBlock != VK_NULL_HANDLE); - VMA_DEBUG_LOG("vmaVirtualFree"); - VMA_DEBUG_GLOBAL_MUTEX_LOCK; - virtualBlock->Free(allocation); - } -} - -VMA_CALL_PRE void VMA_CALL_POST vmaClearVirtualBlock(VmaVirtualBlock VMA_NOT_NULL virtualBlock) -{ - VMA_ASSERT(virtualBlock != VK_NULL_HANDLE); - VMA_DEBUG_LOG("vmaClearVirtualBlock"); - VMA_DEBUG_GLOBAL_MUTEX_LOCK; - virtualBlock->Clear(); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaSetVirtualAllocationUserData(VmaVirtualBlock VMA_NOT_NULL virtualBlock, - VmaVirtualAllocation VMA_NOT_NULL_NON_DISPATCHABLE allocation, void* VMA_NULLABLE pUserData) -{ - VMA_ASSERT(virtualBlock != VK_NULL_HANDLE); - VMA_DEBUG_LOG("vmaSetVirtualAllocationUserData"); - VMA_DEBUG_GLOBAL_MUTEX_LOCK; - virtualBlock->SetAllocationUserData(allocation, pUserData); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaGetVirtualBlockStatistics(VmaVirtualBlock VMA_NOT_NULL virtualBlock, - VmaStatistics* VMA_NOT_NULL pStats) -{ - VMA_ASSERT(virtualBlock != VK_NULL_HANDLE && pStats != VMA_NULL); - VMA_DEBUG_LOG("vmaGetVirtualBlockStatistics"); - VMA_DEBUG_GLOBAL_MUTEX_LOCK; - virtualBlock->GetStatistics(*pStats); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaCalculateVirtualBlockStatistics(VmaVirtualBlock VMA_NOT_NULL virtualBlock, - VmaDetailedStatistics* VMA_NOT_NULL pStats) -{ - VMA_ASSERT(virtualBlock != VK_NULL_HANDLE && pStats != VMA_NULL); - VMA_DEBUG_LOG("vmaCalculateVirtualBlockStatistics"); - VMA_DEBUG_GLOBAL_MUTEX_LOCK; - virtualBlock->CalculateDetailedStatistics(*pStats); -} - -#if VMA_STATS_STRING_ENABLED - -VMA_CALL_PRE void VMA_CALL_POST vmaBuildVirtualBlockStatsString(VmaVirtualBlock VMA_NOT_NULL virtualBlock, - char* VMA_NULLABLE * VMA_NOT_NULL ppStatsString, VkBool32 detailedMap) -{ - VMA_ASSERT(virtualBlock != VK_NULL_HANDLE && ppStatsString != VMA_NULL); - VMA_DEBUG_GLOBAL_MUTEX_LOCK; - const VkAllocationCallbacks* allocationCallbacks = virtualBlock->GetAllocationCallbacks(); - VmaStringBuilder sb(allocationCallbacks); - virtualBlock->BuildStatsString(detailedMap != VK_FALSE, sb); - *ppStatsString = VmaCreateStringCopy(allocationCallbacks, sb.GetData(), sb.GetLength()); -} - -VMA_CALL_PRE void VMA_CALL_POST vmaFreeVirtualBlockStatsString(VmaVirtualBlock VMA_NOT_NULL virtualBlock, - char* VMA_NULLABLE pStatsString) -{ - if(pStatsString != VMA_NULL) - { - VMA_ASSERT(virtualBlock != VK_NULL_HANDLE); - VMA_DEBUG_GLOBAL_MUTEX_LOCK; - VmaFreeString(virtualBlock->GetAllocationCallbacks(), pStatsString); - } -} -#endif // VMA_STATS_STRING_ENABLED -#endif // _VMA_PUBLIC_INTERFACE -#endif // VMA_IMPLEMENTATION - -/** -\page quick_start Quick start - -\section quick_start_project_setup Project setup - -Vulkan Memory Allocator comes in form of a "stb-style" single header file. -You don't need to build it as a separate library project. -You can add this file directly to your project and submit it to code repository next to your other source files. - -"Single header" doesn't mean that everything is contained in C/C++ declarations, -like it tends to be in case of inline functions or C++ templates. -It means that implementation is bundled with interface in a single file and needs to be extracted using preprocessor macro. -If you don't do it properly, you will get linker errors. - -To do it properly: - --# Include "vk_mem_alloc.h" file in each CPP file where you want to use the library. - This includes declarations of all members of the library. --# In exactly one CPP file define following macro before this include. - It enables also internal definitions. - -\code -#define VMA_IMPLEMENTATION -#include "vk_mem_alloc.h" -\endcode - -It may be a good idea to create dedicated CPP file just for this purpose. - -This library includes header ``, which in turn -includes `` on Windows. If you need some specific macros defined -before including these headers (like `WIN32_LEAN_AND_MEAN` or -`WINVER` for Windows, `VK_USE_PLATFORM_WIN32_KHR` for Vulkan), you must define -them before every `#include` of this library. - -This library is written in C++, but has C-compatible interface. -Thus you can include and use vk_mem_alloc.h in C or C++ code, but full -implementation with `VMA_IMPLEMENTATION` macro must be compiled as C++, NOT as C. -Some features of C++14 are used. STL containers, RTTI, or C++ exceptions are not used. - - -\section quick_start_initialization Initialization - -At program startup: - --# Initialize Vulkan to have `VkPhysicalDevice`, `VkDevice` and `VkInstance` object. --# Fill VmaAllocatorCreateInfo structure and create #VmaAllocator object by - calling vmaCreateAllocator(). - -Only members `physicalDevice`, `device`, `instance` are required. -However, you should inform the library which Vulkan version do you use by setting -VmaAllocatorCreateInfo::vulkanApiVersion and which extensions did you enable -by setting VmaAllocatorCreateInfo::flags (like #VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT for VK_KHR_buffer_device_address). -Otherwise, VMA would use only features of Vulkan 1.0 core with no extensions. - -\subsection quick_start_initialization_selecting_vulkan_version Selecting Vulkan version - -VMA supports Vulkan version down to 1.0, for backward compatibility. -If you want to use higher version, you need to inform the library about it. -This is a two-step process. - -Step 1: Compile time. By default, VMA compiles with code supporting the highest -Vulkan version found in the included `` that is also supported by the library. -If this is OK, you don't need to do anything. -However, if you want to compile VMA as if only some lower Vulkan version was available, -define macro `VMA_VULKAN_VERSION` before every `#include "vk_mem_alloc.h"`. -It should have decimal numeric value in form of ABBBCCC, where A = major, BBB = minor, CCC = patch Vulkan version. -For example, to compile against Vulkan 1.2: - -\code -#define VMA_VULKAN_VERSION 1002000 // Vulkan 1.2 -#include "vk_mem_alloc.h" -\endcode - -Step 2: Runtime. Even when compiled with higher Vulkan version available, -VMA can use only features of a lower version, which is configurable during creation of the #VmaAllocator object. -By default, only Vulkan 1.0 is used. -To initialize the allocator with support for higher Vulkan version, you need to set member -VmaAllocatorCreateInfo::vulkanApiVersion to an appropriate value, e.g. using constants like `VK_API_VERSION_1_2`. -See code sample below. - -\subsection quick_start_initialization_importing_vulkan_functions Importing Vulkan functions - -You may need to configure importing Vulkan functions. There are 3 ways to do this: - --# **If you link with Vulkan static library** (e.g. "vulkan-1.lib" on Windows): - - You don't need to do anything. - - VMA will use these, as macro `VMA_STATIC_VULKAN_FUNCTIONS` is defined to 1 by default. --# **If you want VMA to fetch pointers to Vulkan functions dynamically** using `vkGetInstanceProcAddr`, - `vkGetDeviceProcAddr` (this is the option presented in the example below): - - Define `VMA_STATIC_VULKAN_FUNCTIONS` to 0, `VMA_DYNAMIC_VULKAN_FUNCTIONS` to 1. - - Provide pointers to these two functions via VmaVulkanFunctions::vkGetInstanceProcAddr, - VmaVulkanFunctions::vkGetDeviceProcAddr. - - The library will fetch pointers to all other functions it needs internally. --# **If you fetch pointers to all Vulkan functions in a custom way**, e.g. using some loader like - [Volk](https://github.com/zeux/volk): - - Define `VMA_STATIC_VULKAN_FUNCTIONS` and `VMA_DYNAMIC_VULKAN_FUNCTIONS` to 0. - - Pass these pointers via structure #VmaVulkanFunctions. - -Example for case 2: - -\code -#define VMA_STATIC_VULKAN_FUNCTIONS 0 -#define VMA_DYNAMIC_VULKAN_FUNCTIONS 1 -#include "vk_mem_alloc.h" - -... - -VmaVulkanFunctions vulkanFunctions = {}; -vulkanFunctions.vkGetInstanceProcAddr = &vkGetInstanceProcAddr; -vulkanFunctions.vkGetDeviceProcAddr = &vkGetDeviceProcAddr; - -VmaAllocatorCreateInfo allocatorCreateInfo = {}; -allocatorCreateInfo.vulkanApiVersion = VK_API_VERSION_1_2; -allocatorCreateInfo.physicalDevice = physicalDevice; -allocatorCreateInfo.device = device; -allocatorCreateInfo.instance = instance; -allocatorCreateInfo.pVulkanFunctions = &vulkanFunctions; - -VmaAllocator allocator; -vmaCreateAllocator(&allocatorCreateInfo, &allocator); -\endcode - - -\section quick_start_resource_allocation Resource allocation - -When you want to create a buffer or image: - --# Fill `VkBufferCreateInfo` / `VkImageCreateInfo` structure. --# Fill VmaAllocationCreateInfo structure. --# Call vmaCreateBuffer() / vmaCreateImage() to get `VkBuffer`/`VkImage` with memory - already allocated and bound to it, plus #VmaAllocation objects that represents its underlying memory. - -\code -VkBufferCreateInfo bufferInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; -bufferInfo.size = 65536; -bufferInfo.usage = VK_BUFFER_USAGE_VERTEX_BUFFER_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; - -VmaAllocationCreateInfo allocInfo = {}; -allocInfo.usage = VMA_MEMORY_USAGE_AUTO; - -VkBuffer buffer; -VmaAllocation allocation; -vmaCreateBuffer(allocator, &bufferInfo, &allocInfo, &buffer, &allocation, nullptr); -\endcode - -Don't forget to destroy your objects when no longer needed: - -\code -vmaDestroyBuffer(allocator, buffer, allocation); -vmaDestroyAllocator(allocator); -\endcode - - -\page choosing_memory_type Choosing memory type - -Physical devices in Vulkan support various combinations of memory heaps and -types. Help with choosing correct and optimal memory type for your specific -resource is one of the key features of this library. You can use it by filling -appropriate members of VmaAllocationCreateInfo structure, as described below. -You can also combine multiple methods. - --# If you just want to find memory type index that meets your requirements, you - can use function: vmaFindMemoryTypeIndexForBufferInfo(), - vmaFindMemoryTypeIndexForImageInfo(), vmaFindMemoryTypeIndex(). --# If you want to allocate a region of device memory without association with any - specific image or buffer, you can use function vmaAllocateMemory(). Usage of - this function is not recommended and usually not needed. - vmaAllocateMemoryPages() function is also provided for creating multiple allocations at once, - which may be useful for sparse binding. --# If you already have a buffer or an image created, you want to allocate memory - for it and then you will bind it yourself, you can use function - vmaAllocateMemoryForBuffer(), vmaAllocateMemoryForImage(). - For binding you should use functions: vmaBindBufferMemory(), vmaBindImageMemory() - or their extended versions: vmaBindBufferMemory2(), vmaBindImageMemory2(). --# **This is the easiest and recommended way to use this library:** - If you want to create a buffer or an image, allocate memory for it and bind - them together, all in one call, you can use function vmaCreateBuffer(), - vmaCreateImage(). - -When using 3. or 4., the library internally queries Vulkan for memory types -supported for that buffer or image (function `vkGetBufferMemoryRequirements()`) -and uses only one of these types. - -If no memory type can be found that meets all the requirements, these functions -return `VK_ERROR_FEATURE_NOT_PRESENT`. - -You can leave VmaAllocationCreateInfo structure completely filled with zeros. -It means no requirements are specified for memory type. -It is valid, although not very useful. - -\section choosing_memory_type_usage Usage - -The easiest way to specify memory requirements is to fill member -VmaAllocationCreateInfo::usage using one of the values of enum #VmaMemoryUsage. -It defines high level, common usage types. -Since version 3 of the library, it is recommended to use #VMA_MEMORY_USAGE_AUTO to let it select best memory type for your resource automatically. - -For example, if you want to create a uniform buffer that will be filled using -transfer only once or infrequently and then used for rendering every frame as a uniform buffer, you can -do it using following code. The buffer will most likely end up in a memory type with -`VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT` to be fast to access by the GPU device. - -\code -VkBufferCreateInfo bufferInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; -bufferInfo.size = 65536; -bufferInfo.usage = VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; - -VmaAllocationCreateInfo allocInfo = {}; -allocInfo.usage = VMA_MEMORY_USAGE_AUTO; - -VkBuffer buffer; -VmaAllocation allocation; -vmaCreateBuffer(allocator, &bufferInfo, &allocInfo, &buffer, &allocation, nullptr); -\endcode - -If you have a preference for putting the resource in GPU (device) memory or CPU (host) memory -on systems with discrete graphics card that have the memories separate, you can use -#VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE or #VMA_MEMORY_USAGE_AUTO_PREFER_HOST. - -When using `VMA_MEMORY_USAGE_AUTO*` while you want to map the allocated memory, -you also need to specify one of the host access flags: -#VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT. -This will help the library decide about preferred memory type to ensure it has `VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT` -so you can map it. - -For example, a staging buffer that will be filled via mapped pointer and then -used as a source of transfer to the buffer described previously can be created like this. -It will likely end up in a memory type that is `HOST_VISIBLE` and `HOST_COHERENT` -but not `HOST_CACHED` (meaning uncached, write-combined) and not `DEVICE_LOCAL` (meaning system RAM). - -\code -VkBufferCreateInfo stagingBufferInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; -stagingBufferInfo.size = 65536; -stagingBufferInfo.usage = VK_BUFFER_USAGE_TRANSFER_SRC_BIT; - -VmaAllocationCreateInfo stagingAllocInfo = {}; -stagingAllocInfo.usage = VMA_MEMORY_USAGE_AUTO; -stagingAllocInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT; - -VkBuffer stagingBuffer; -VmaAllocation stagingAllocation; -vmaCreateBuffer(allocator, &stagingBufferInfo, &stagingAllocInfo, &stagingBuffer, &stagingAllocation, nullptr); -\endcode - -For more examples of creating different kinds of resources, see chapter \ref usage_patterns. - -Usage values `VMA_MEMORY_USAGE_AUTO*` are legal to use only when the library knows -about the resource being created by having `VkBufferCreateInfo` / `VkImageCreateInfo` passed, -so they work with functions like: vmaCreateBuffer(), vmaCreateImage(), vmaFindMemoryTypeIndexForBufferInfo() etc. -If you allocate raw memory using function vmaAllocateMemory(), you have to use other means of selecting -memory type, as described below. - -\note -Old usage values (`VMA_MEMORY_USAGE_GPU_ONLY`, `VMA_MEMORY_USAGE_CPU_ONLY`, -`VMA_MEMORY_USAGE_CPU_TO_GPU`, `VMA_MEMORY_USAGE_GPU_TO_CPU`, `VMA_MEMORY_USAGE_CPU_COPY`) -are still available and work same way as in previous versions of the library -for backward compatibility, but they are not recommended. - -\section choosing_memory_type_required_preferred_flags Required and preferred flags - -You can specify more detailed requirements by filling members -VmaAllocationCreateInfo::requiredFlags and VmaAllocationCreateInfo::preferredFlags -with a combination of bits from enum `VkMemoryPropertyFlags`. For example, -if you want to create a buffer that will be persistently mapped on host (so it -must be `HOST_VISIBLE`) and preferably will also be `HOST_COHERENT` and `HOST_CACHED`, -use following code: - -\code -VmaAllocationCreateInfo allocInfo = {}; -allocInfo.requiredFlags = VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT; -allocInfo.preferredFlags = VK_MEMORY_PROPERTY_HOST_COHERENT_BIT | VK_MEMORY_PROPERTY_HOST_CACHED_BIT; -allocInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT; - -VkBuffer buffer; -VmaAllocation allocation; -vmaCreateBuffer(allocator, &bufferInfo, &allocInfo, &buffer, &allocation, nullptr); -\endcode - -A memory type is chosen that has all the required flags and as many preferred -flags set as possible. - -Value passed in VmaAllocationCreateInfo::usage is internally converted to a set of required and preferred flags, -plus some extra "magic" (heuristics). - -\section choosing_memory_type_explicit_memory_types Explicit memory types - -If you inspected memory types available on the physical device and you have -a preference for memory types that you want to use, you can fill member -VmaAllocationCreateInfo::memoryTypeBits. It is a bit mask, where each bit set -means that a memory type with that index is allowed to be used for the -allocation. Special value 0, just like `UINT32_MAX`, means there are no -restrictions to memory type index. - -Please note that this member is NOT just a memory type index. -Still you can use it to choose just one, specific memory type. -For example, if you already determined that your buffer should be created in -memory type 2, use following code: - -\code -uint32_t memoryTypeIndex = 2; - -VmaAllocationCreateInfo allocInfo = {}; -allocInfo.memoryTypeBits = 1u << memoryTypeIndex; - -VkBuffer buffer; -VmaAllocation allocation; -vmaCreateBuffer(allocator, &bufferInfo, &allocInfo, &buffer, &allocation, nullptr); -\endcode - - -\section choosing_memory_type_custom_memory_pools Custom memory pools - -If you allocate from custom memory pool, all the ways of specifying memory -requirements described above are not applicable and the aforementioned members -of VmaAllocationCreateInfo structure are ignored. Memory type is selected -explicitly when creating the pool and then used to make all the allocations from -that pool. For further details, see \ref custom_memory_pools. - -\section choosing_memory_type_dedicated_allocations Dedicated allocations - -Memory for allocations is reserved out of larger block of `VkDeviceMemory` -allocated from Vulkan internally. That is the main feature of this whole library. -You can still request a separate memory block to be created for an allocation, -just like you would do in a trivial solution without using any allocator. -In that case, a buffer or image is always bound to that memory at offset 0. -This is called a "dedicated allocation". -You can explicitly request it by using flag #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. -The library can also internally decide to use dedicated allocation in some cases, e.g.: - -- When the size of the allocation is large. -- When [VK_KHR_dedicated_allocation](@ref vk_khr_dedicated_allocation) extension is enabled - and it reports that dedicated allocation is required or recommended for the resource. -- When allocation of next big memory block fails due to not enough device memory, - but allocation with the exact requested size succeeds. - - -\page memory_mapping Memory mapping - -To "map memory" in Vulkan means to obtain a CPU pointer to `VkDeviceMemory`, -to be able to read from it or write to it in CPU code. -Mapping is possible only of memory allocated from a memory type that has -`VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT` flag. -Functions `vkMapMemory()`, `vkUnmapMemory()` are designed for this purpose. -You can use them directly with memory allocated by this library, -but it is not recommended because of following issue: -Mapping the same `VkDeviceMemory` block multiple times is illegal - only one mapping at a time is allowed. -This includes mapping disjoint regions. Mapping is not reference-counted internally by Vulkan. -Because of this, Vulkan Memory Allocator provides following facilities: - -\note If you want to be able to map an allocation, you need to specify one of the flags -#VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT -in VmaAllocationCreateInfo::flags. These flags are required for an allocation to be mappable -when using #VMA_MEMORY_USAGE_AUTO or other `VMA_MEMORY_USAGE_AUTO*` enum values. -For other usage values they are ignored and every such allocation made in `HOST_VISIBLE` memory type is mappable, -but they can still be used for consistency. - -\section memory_mapping_mapping_functions Mapping functions - -The library provides following functions for mapping of a specific #VmaAllocation: vmaMapMemory(), vmaUnmapMemory(). -They are safer and more convenient to use than standard Vulkan functions. -You can map an allocation multiple times simultaneously - mapping is reference-counted internally. -You can also map different allocations simultaneously regardless of whether they use the same `VkDeviceMemory` block. -The way it is implemented is that the library always maps entire memory block, not just region of the allocation. -For further details, see description of vmaMapMemory() function. -Example: - -\code -// Having these objects initialized: -struct ConstantBuffer -{ - ... -}; -ConstantBuffer constantBufferData = ... - -VmaAllocator allocator = ... -VkBuffer constantBuffer = ... -VmaAllocation constantBufferAllocation = ... - -// You can map and fill your buffer using following code: - -void* mappedData; -vmaMapMemory(allocator, constantBufferAllocation, &mappedData); -memcpy(mappedData, &constantBufferData, sizeof(constantBufferData)); -vmaUnmapMemory(allocator, constantBufferAllocation); -\endcode - -When mapping, you may see a warning from Vulkan validation layer similar to this one: - -Mapping an image with layout VK_IMAGE_LAYOUT_DEPTH_STENCIL_ATTACHMENT_OPTIMAL can result in undefined behavior if this memory is used by the device. Only GENERAL or PREINITIALIZED should be used. - -It happens because the library maps entire `VkDeviceMemory` block, where different -types of images and buffers may end up together, especially on GPUs with unified memory like Intel. -You can safely ignore it if you are sure you access only memory of the intended -object that you wanted to map. - - -\section memory_mapping_persistently_mapped_memory Persistently mapped memory - -Keeping your memory persistently mapped is generally OK in Vulkan. -You don't need to unmap it before using its data on the GPU. -The library provides a special feature designed for that: -Allocations made with #VMA_ALLOCATION_CREATE_MAPPED_BIT flag set in -VmaAllocationCreateInfo::flags stay mapped all the time, -so you can just access CPU pointer to it any time -without a need to call any "map" or "unmap" function. -Example: - -\code -VkBufferCreateInfo bufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; -bufCreateInfo.size = sizeof(ConstantBuffer); -bufCreateInfo.usage = VK_BUFFER_USAGE_TRANSFER_SRC_BIT; - -VmaAllocationCreateInfo allocCreateInfo = {}; -allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; -allocCreateInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | - VMA_ALLOCATION_CREATE_MAPPED_BIT; - -VkBuffer buf; -VmaAllocation alloc; -VmaAllocationInfo allocInfo; -vmaCreateBuffer(allocator, &bufCreateInfo, &allocCreateInfo, &buf, &alloc, &allocInfo); - -// Buffer is already mapped. You can access its memory. -memcpy(allocInfo.pMappedData, &constantBufferData, sizeof(constantBufferData)); -\endcode - -\note #VMA_ALLOCATION_CREATE_MAPPED_BIT by itself doesn't guarantee that the allocation will end up -in a mappable memory type. -For this, you need to also specify #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT or -#VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT. -#VMA_ALLOCATION_CREATE_MAPPED_BIT only guarantees that if the memory is `HOST_VISIBLE`, the allocation will be mapped on creation. -For an example of how to make use of this fact, see section \ref usage_patterns_advanced_data_uploading. - -\section memory_mapping_cache_control Cache flush and invalidate - -Memory in Vulkan doesn't need to be unmapped before using it on GPU, -but unless a memory types has `VK_MEMORY_PROPERTY_HOST_COHERENT_BIT` flag set, -you need to manually **invalidate** cache before reading of mapped pointer -and **flush** cache after writing to mapped pointer. -Map/unmap operations don't do that automatically. -Vulkan provides following functions for this purpose `vkFlushMappedMemoryRanges()`, -`vkInvalidateMappedMemoryRanges()`, but this library provides more convenient -functions that refer to given allocation object: vmaFlushAllocation(), -vmaInvalidateAllocation(), -or multiple objects at once: vmaFlushAllocations(), vmaInvalidateAllocations(). - -Regions of memory specified for flush/invalidate must be aligned to -`VkPhysicalDeviceLimits::nonCoherentAtomSize`. This is automatically ensured by the library. -In any memory type that is `HOST_VISIBLE` but not `HOST_COHERENT`, all allocations -within blocks are aligned to this value, so their offsets are always multiply of -`nonCoherentAtomSize` and two different allocations never share same "line" of this size. - -Also, Windows drivers from all 3 PC GPU vendors (AMD, Intel, NVIDIA) -currently provide `HOST_COHERENT` flag on all memory types that are -`HOST_VISIBLE`, so on PC you may not need to bother. - - -\page staying_within_budget Staying within budget - -When developing a graphics-intensive game or program, it is important to avoid allocating -more GPU memory than it is physically available. When the memory is over-committed, -various bad things can happen, depending on the specific GPU, graphics driver, and -operating system: - -- It may just work without any problems. -- The application may slow down because some memory blocks are moved to system RAM - and the GPU has to access them through PCI Express bus. -- A new allocation may take very long time to complete, even few seconds, and possibly - freeze entire system. -- The new allocation may fail with `VK_ERROR_OUT_OF_DEVICE_MEMORY`. -- It may even result in GPU crash (TDR), observed as `VK_ERROR_DEVICE_LOST` - returned somewhere later. - -\section staying_within_budget_querying_for_budget Querying for budget - -To query for current memory usage and available budget, use function vmaGetHeapBudgets(). -Returned structure #VmaBudget contains quantities expressed in bytes, per Vulkan memory heap. - -Please note that this function returns different information and works faster than -vmaCalculateStatistics(). vmaGetHeapBudgets() can be called every frame or even before every -allocation, while vmaCalculateStatistics() is intended to be used rarely, -only to obtain statistical information, e.g. for debugging purposes. - -It is recommended to use VK_EXT_memory_budget device extension to obtain information -about the budget from Vulkan device. VMA is able to use this extension automatically. -When not enabled, the allocator behaves same way, but then it estimates current usage -and available budget based on its internal information and Vulkan memory heap sizes, -which may be less precise. In order to use this extension: - -1. Make sure extensions VK_EXT_memory_budget and VK_KHR_get_physical_device_properties2 - required by it are available and enable them. Please note that the first is a device - extension and the second is instance extension! -2. Use flag #VMA_ALLOCATOR_CREATE_EXT_MEMORY_BUDGET_BIT when creating #VmaAllocator object. -3. Make sure to call vmaSetCurrentFrameIndex() every frame. Budget is queried from - Vulkan inside of it to avoid overhead of querying it with every allocation. - -\section staying_within_budget_controlling_memory_usage Controlling memory usage - -There are many ways in which you can try to stay within the budget. - -First, when making new allocation requires allocating a new memory block, the library -tries not to exceed the budget automatically. If a block with default recommended size -(e.g. 256 MB) would go over budget, a smaller block is allocated, possibly even -dedicated memory for just this resource. - -If the size of the requested resource plus current memory usage is more than the -budget, by default the library still tries to create it, leaving it to the Vulkan -implementation whether the allocation succeeds or fails. You can change this behavior -by using #VMA_ALLOCATION_CREATE_WITHIN_BUDGET_BIT flag. With it, the allocation is -not made if it would exceed the budget or if the budget is already exceeded. -VMA then tries to make the allocation from the next eligible Vulkan memory type. -The all of them fail, the call then fails with `VK_ERROR_OUT_OF_DEVICE_MEMORY`. -Example usage pattern may be to pass the #VMA_ALLOCATION_CREATE_WITHIN_BUDGET_BIT flag -when creating resources that are not essential for the application (e.g. the texture -of a specific object) and not to pass it when creating critically important resources -(e.g. render targets). - -On AMD graphics cards there is a custom vendor extension available: VK_AMD_memory_overallocation_behavior -that allows to control the behavior of the Vulkan implementation in out-of-memory cases - -whether it should fail with an error code or still allow the allocation. -Usage of this extension involves only passing extra structure on Vulkan device creation, -so it is out of scope of this library. - -Finally, you can also use #VMA_ALLOCATION_CREATE_NEVER_ALLOCATE_BIT flag to make sure -a new allocation is created only when it fits inside one of the existing memory blocks. -If it would require to allocate a new block, if fails instead with `VK_ERROR_OUT_OF_DEVICE_MEMORY`. -This also ensures that the function call is very fast because it never goes to Vulkan -to obtain a new block. - -\note Creating \ref custom_memory_pools with VmaPoolCreateInfo::minBlockCount -set to more than 0 will currently try to allocate memory blocks without checking whether they -fit within budget. - - -\page resource_aliasing Resource aliasing (overlap) - -New explicit graphics APIs (Vulkan and Direct3D 12), thanks to manual memory -management, give an opportunity to alias (overlap) multiple resources in the -same region of memory - a feature not available in the old APIs (Direct3D 11, OpenGL). -It can be useful to save video memory, but it must be used with caution. - -For example, if you know the flow of your whole render frame in advance, you -are going to use some intermediate textures or buffers only during a small range of render passes, -and you know these ranges don't overlap in time, you can bind these resources to -the same place in memory, even if they have completely different parameters (width, height, format etc.). - -![Resource aliasing (overlap)](../gfx/Aliasing.png) - -Such scenario is possible using VMA, but you need to create your images manually. -Then you need to calculate parameters of an allocation to be made using formula: - -- allocation size = max(size of each image) -- allocation alignment = max(alignment of each image) -- allocation memoryTypeBits = bitwise AND(memoryTypeBits of each image) - -Following example shows two different images bound to the same place in memory, -allocated to fit largest of them. - -\code -// A 512x512 texture to be sampled. -VkImageCreateInfo img1CreateInfo = { VK_STRUCTURE_TYPE_IMAGE_CREATE_INFO }; -img1CreateInfo.imageType = VK_IMAGE_TYPE_2D; -img1CreateInfo.extent.width = 512; -img1CreateInfo.extent.height = 512; -img1CreateInfo.extent.depth = 1; -img1CreateInfo.mipLevels = 10; -img1CreateInfo.arrayLayers = 1; -img1CreateInfo.format = VK_FORMAT_R8G8B8A8_SRGB; -img1CreateInfo.tiling = VK_IMAGE_TILING_OPTIMAL; -img1CreateInfo.initialLayout = VK_IMAGE_LAYOUT_UNDEFINED; -img1CreateInfo.usage = VK_IMAGE_USAGE_TRANSFER_DST_BIT | VK_IMAGE_USAGE_SAMPLED_BIT; -img1CreateInfo.samples = VK_SAMPLE_COUNT_1_BIT; - -// A full screen texture to be used as color attachment. -VkImageCreateInfo img2CreateInfo = { VK_STRUCTURE_TYPE_IMAGE_CREATE_INFO }; -img2CreateInfo.imageType = VK_IMAGE_TYPE_2D; -img2CreateInfo.extent.width = 1920; -img2CreateInfo.extent.height = 1080; -img2CreateInfo.extent.depth = 1; -img2CreateInfo.mipLevels = 1; -img2CreateInfo.arrayLayers = 1; -img2CreateInfo.format = VK_FORMAT_R8G8B8A8_UNORM; -img2CreateInfo.tiling = VK_IMAGE_TILING_OPTIMAL; -img2CreateInfo.initialLayout = VK_IMAGE_LAYOUT_UNDEFINED; -img2CreateInfo.usage = VK_IMAGE_USAGE_SAMPLED_BIT | VK_IMAGE_USAGE_COLOR_ATTACHMENT_BIT; -img2CreateInfo.samples = VK_SAMPLE_COUNT_1_BIT; - -VkImage img1; -res = vkCreateImage(device, &img1CreateInfo, nullptr, &img1); -VkImage img2; -res = vkCreateImage(device, &img2CreateInfo, nullptr, &img2); - -VkMemoryRequirements img1MemReq; -vkGetImageMemoryRequirements(device, img1, &img1MemReq); -VkMemoryRequirements img2MemReq; -vkGetImageMemoryRequirements(device, img2, &img2MemReq); - -VkMemoryRequirements finalMemReq = {}; -finalMemReq.size = std::max(img1MemReq.size, img2MemReq.size); -finalMemReq.alignment = std::max(img1MemReq.alignment, img2MemReq.alignment); -finalMemReq.memoryTypeBits = img1MemReq.memoryTypeBits & img2MemReq.memoryTypeBits; -// Validate if(finalMemReq.memoryTypeBits != 0) - -VmaAllocationCreateInfo allocCreateInfo = {}; -allocCreateInfo.preferredFlags = VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT; - -VmaAllocation alloc; -res = vmaAllocateMemory(allocator, &finalMemReq, &allocCreateInfo, &alloc, nullptr); - -res = vmaBindImageMemory(allocator, alloc, img1); -res = vmaBindImageMemory(allocator, alloc, img2); - -// You can use img1, img2 here, but not at the same time! - -vmaFreeMemory(allocator, alloc); -vkDestroyImage(allocator, img2, nullptr); -vkDestroyImage(allocator, img1, nullptr); -\endcode - -VMA also provides convenience functions that create a buffer or image and bind it to memory -represented by an existing #VmaAllocation: -vmaCreateAliasingBuffer(), vmaCreateAliasingBuffer2(), -vmaCreateAliasingImage(), vmaCreateAliasingImage2(). -Versions with "2" offer additional parameter `allocationLocalOffset`. - -Remember that using resources that alias in memory requires proper synchronization. -You need to issue a memory barrier to make sure commands that use `img1` and `img2` -don't overlap on GPU timeline. -You also need to treat a resource after aliasing as uninitialized - containing garbage data. -For example, if you use `img1` and then want to use `img2`, you need to issue -an image memory barrier for `img2` with `oldLayout` = `VK_IMAGE_LAYOUT_UNDEFINED`. - -Additional considerations: - -- Vulkan also allows to interpret contents of memory between aliasing resources consistently in some cases. -See chapter 11.8. "Memory Aliasing" of Vulkan specification or `VK_IMAGE_CREATE_ALIAS_BIT` flag. -- You can create more complex layout where different images and buffers are bound -at different offsets inside one large allocation. For example, one can imagine -a big texture used in some render passes, aliasing with a set of many small buffers -used between in some further passes. To bind a resource at non-zero offset in an allocation, -use vmaBindBufferMemory2() / vmaBindImageMemory2(). -- Before allocating memory for the resources you want to alias, check `memoryTypeBits` -returned in memory requirements of each resource to make sure the bits overlap. -Some GPUs may expose multiple memory types suitable e.g. only for buffers or -images with `COLOR_ATTACHMENT` usage, so the sets of memory types supported by your -resources may be disjoint. Aliasing them is not possible in that case. - - -\page custom_memory_pools Custom memory pools - -A memory pool contains a number of `VkDeviceMemory` blocks. -The library automatically creates and manages default pool for each memory type available on the device. -Default memory pool automatically grows in size. -Size of allocated blocks is also variable and managed automatically. - -You can create custom pool and allocate memory out of it. -It can be useful if you want to: - -- Keep certain kind of allocations separate from others. -- Enforce particular, fixed size of Vulkan memory blocks. -- Limit maximum amount of Vulkan memory allocated for that pool. -- Reserve minimum or fixed amount of Vulkan memory always preallocated for that pool. -- Use extra parameters for a set of your allocations that are available in #VmaPoolCreateInfo but not in - #VmaAllocationCreateInfo - e.g., custom minimum alignment, custom `pNext` chain. -- Perform defragmentation on a specific subset of your allocations. - -To use custom memory pools: - --# Fill VmaPoolCreateInfo structure. --# Call vmaCreatePool() to obtain #VmaPool handle. --# When making an allocation, set VmaAllocationCreateInfo::pool to this handle. - You don't need to specify any other parameters of this structure, like `usage`. - -Example: - -\code -// Find memoryTypeIndex for the pool. -VkBufferCreateInfo sampleBufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; -sampleBufCreateInfo.size = 0x10000; // Doesn't matter. -sampleBufCreateInfo.usage = VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; - -VmaAllocationCreateInfo sampleAllocCreateInfo = {}; -sampleAllocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; - -uint32_t memTypeIndex; -VkResult res = vmaFindMemoryTypeIndexForBufferInfo(allocator, - &sampleBufCreateInfo, &sampleAllocCreateInfo, &memTypeIndex); -// Check res... - -// Create a pool that can have at most 2 blocks, 128 MiB each. -VmaPoolCreateInfo poolCreateInfo = {}; -poolCreateInfo.memoryTypeIndex = memTypeIndex; -poolCreateInfo.blockSize = 128ull * 1024 * 1024; -poolCreateInfo.maxBlockCount = 2; - -VmaPool pool; -res = vmaCreatePool(allocator, &poolCreateInfo, &pool); -// Check res... - -// Allocate a buffer out of it. -VkBufferCreateInfo bufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; -bufCreateInfo.size = 1024; -bufCreateInfo.usage = VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; - -VmaAllocationCreateInfo allocCreateInfo = {}; -allocCreateInfo.pool = pool; - -VkBuffer buf; -VmaAllocation alloc; -res = vmaCreateBuffer(allocator, &bufCreateInfo, &allocCreateInfo, &buf, &alloc, nullptr); -// Check res... -\endcode - -You have to free all allocations made from this pool before destroying it. - -\code -vmaDestroyBuffer(allocator, buf, alloc); -vmaDestroyPool(allocator, pool); -\endcode - -New versions of this library support creating dedicated allocations in custom pools. -It is supported only when VmaPoolCreateInfo::blockSize = 0. -To use this feature, set VmaAllocationCreateInfo::pool to the pointer to your custom pool and -VmaAllocationCreateInfo::flags to #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. - -\note Excessive use of custom pools is a common mistake when using this library. -Custom pools may be useful for special purposes - when you want to -keep certain type of resources separate e.g. to reserve minimum amount of memory -for them or limit maximum amount of memory they can occupy. For most -resources this is not needed and so it is not recommended to create #VmaPool -objects and allocations out of them. Allocating from the default pool is sufficient. - - -\section custom_memory_pools_MemTypeIndex Choosing memory type index - -When creating a pool, you must explicitly specify memory type index. -To find the one suitable for your buffers or images, you can use helper functions -vmaFindMemoryTypeIndexForBufferInfo(), vmaFindMemoryTypeIndexForImageInfo(). -You need to provide structures with example parameters of buffers or images -that you are going to create in that pool. - -\code -VkBufferCreateInfo exampleBufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; -exampleBufCreateInfo.size = 1024; // Doesn't matter -exampleBufCreateInfo.usage = VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; - -VmaAllocationCreateInfo allocCreateInfo = {}; -allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; - -uint32_t memTypeIndex; -vmaFindMemoryTypeIndexForBufferInfo(allocator, &exampleBufCreateInfo, &allocCreateInfo, &memTypeIndex); - -VmaPoolCreateInfo poolCreateInfo = {}; -poolCreateInfo.memoryTypeIndex = memTypeIndex; -// ... -\endcode - -When creating buffers/images allocated in that pool, provide following parameters: - -- `VkBufferCreateInfo`: Prefer to pass same parameters as above. - Otherwise you risk creating resources in a memory type that is not suitable for them, which may result in undefined behavior. - Using different `VK_BUFFER_USAGE_` flags may work, but you shouldn't create images in a pool intended for buffers - or the other way around. -- VmaAllocationCreateInfo: You don't need to pass same parameters. Fill only `pool` member. - Other members are ignored anyway. - -\section linear_algorithm Linear allocation algorithm - -Each Vulkan memory block managed by this library has accompanying metadata that -keeps track of used and unused regions. By default, the metadata structure and -algorithm tries to find best place for new allocations among free regions to -optimize memory usage. This way you can allocate and free objects in any order. - -![Default allocation algorithm](../gfx/Linear_allocator_1_algo_default.png) - -Sometimes there is a need to use simpler, linear allocation algorithm. You can -create custom pool that uses such algorithm by adding flag -#VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT to VmaPoolCreateInfo::flags while creating -#VmaPool object. Then an alternative metadata management is used. It always -creates new allocations after last one and doesn't reuse free regions after -allocations freed in the middle. It results in better allocation performance and -less memory consumed by metadata. - -![Linear allocation algorithm](../gfx/Linear_allocator_2_algo_linear.png) - -With this one flag, you can create a custom pool that can be used in many ways: -free-at-once, stack, double stack, and ring buffer. See below for details. -You don't need to specify explicitly which of these options you are going to use - it is detected automatically. - -\subsection linear_algorithm_free_at_once Free-at-once - -In a pool that uses linear algorithm, you still need to free all the allocations -individually, e.g. by using vmaFreeMemory() or vmaDestroyBuffer(). You can free -them in any order. New allocations are always made after last one - free space -in the middle is not reused. However, when you release all the allocation and -the pool becomes empty, allocation starts from the beginning again. This way you -can use linear algorithm to speed up creation of allocations that you are going -to release all at once. - -![Free-at-once](../gfx/Linear_allocator_3_free_at_once.png) - -This mode is also available for pools created with VmaPoolCreateInfo::maxBlockCount -value that allows multiple memory blocks. - -\subsection linear_algorithm_stack Stack - -When you free an allocation that was created last, its space can be reused. -Thanks to this, if you always release allocations in the order opposite to their -creation (LIFO - Last In First Out), you can achieve behavior of a stack. - -![Stack](../gfx/Linear_allocator_4_stack.png) - -This mode is also available for pools created with VmaPoolCreateInfo::maxBlockCount -value that allows multiple memory blocks. - -\subsection linear_algorithm_double_stack Double stack - -The space reserved by a custom pool with linear algorithm may be used by two -stacks: - -- First, default one, growing up from offset 0. -- Second, "upper" one, growing down from the end towards lower offsets. - -To make allocation from the upper stack, add flag #VMA_ALLOCATION_CREATE_UPPER_ADDRESS_BIT -to VmaAllocationCreateInfo::flags. - -![Double stack](../gfx/Linear_allocator_7_double_stack.png) - -Double stack is available only in pools with one memory block - -VmaPoolCreateInfo::maxBlockCount must be 1. Otherwise behavior is undefined. - -When the two stacks' ends meet so there is not enough space between them for a -new allocation, such allocation fails with usual -`VK_ERROR_OUT_OF_DEVICE_MEMORY` error. - -\subsection linear_algorithm_ring_buffer Ring buffer - -When you free some allocations from the beginning and there is not enough free space -for a new one at the end of a pool, allocator's "cursor" wraps around to the -beginning and starts allocation there. Thanks to this, if you always release -allocations in the same order as you created them (FIFO - First In First Out), -you can achieve behavior of a ring buffer / queue. - -![Ring buffer](../gfx/Linear_allocator_5_ring_buffer.png) - -Ring buffer is available only in pools with one memory block - -VmaPoolCreateInfo::maxBlockCount must be 1. Otherwise behavior is undefined. - -\note \ref defragmentation is not supported in custom pools created with #VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT. - - -\page defragmentation Defragmentation - -Interleaved allocations and deallocations of many objects of varying size can -cause fragmentation over time, which can lead to a situation where the library is unable -to find a continuous range of free memory for a new allocation despite there is -enough free space, just scattered across many small free ranges between existing -allocations. - -To mitigate this problem, you can use defragmentation feature. -It doesn't happen automatically though and needs your cooperation, -because VMA is a low level library that only allocates memory. -It cannot recreate buffers and images in a new place as it doesn't remember the contents of `VkBufferCreateInfo` / `VkImageCreateInfo` structures. -It cannot copy their contents as it doesn't record any commands to a command buffer. - -Example: - -\code -VmaDefragmentationInfo defragInfo = {}; -defragInfo.pool = myPool; -defragInfo.flags = VMA_DEFRAGMENTATION_FLAG_ALGORITHM_FAST_BIT; - -VmaDefragmentationContext defragCtx; -VkResult res = vmaBeginDefragmentation(allocator, &defragInfo, &defragCtx); -// Check res... - -for(;;) -{ - VmaDefragmentationPassMoveInfo pass; - res = vmaBeginDefragmentationPass(allocator, defragCtx, &pass); - if(res == VK_SUCCESS) - break; - else if(res != VK_INCOMPLETE) - // Handle error... - - for(uint32_t i = 0; i < pass.moveCount; ++i) - { - // Inspect pass.pMoves[i].srcAllocation, identify what buffer/image it represents. - VmaAllocationInfo allocInfo; - vmaGetAllocationInfo(allocator, pass.pMoves[i].srcAllocation, &allocInfo); - MyEngineResourceData* resData = (MyEngineResourceData*)allocInfo.pUserData; - - // Recreate and bind this buffer/image at: pass.pMoves[i].dstMemory, pass.pMoves[i].dstOffset. - VkImageCreateInfo imgCreateInfo = ... - VkImage newImg; - res = vkCreateImage(device, &imgCreateInfo, nullptr, &newImg); - // Check res... - res = vmaBindImageMemory(allocator, pass.pMoves[i].dstTmpAllocation, newImg); - // Check res... - - // Issue a vkCmdCopyBuffer/vkCmdCopyImage to copy its content to the new place. - vkCmdCopyImage(cmdBuf, resData->img, ..., newImg, ...); - } - - // Make sure the copy commands finished executing. - vkWaitForFences(...); - - // Destroy old buffers/images bound with pass.pMoves[i].srcAllocation. - for(uint32_t i = 0; i < pass.moveCount; ++i) - { - // ... - vkDestroyImage(device, resData->img, nullptr); - } - - // Update appropriate descriptors to point to the new places... - - res = vmaEndDefragmentationPass(allocator, defragCtx, &pass); - if(res == VK_SUCCESS) - break; - else if(res != VK_INCOMPLETE) - // Handle error... -} - -vmaEndDefragmentation(allocator, defragCtx, nullptr); -\endcode - -Although functions like vmaCreateBuffer(), vmaCreateImage(), vmaDestroyBuffer(), vmaDestroyImage() -create/destroy an allocation and a buffer/image at once, these are just a shortcut for -creating the resource, allocating memory, and binding them together. -Defragmentation works on memory allocations only. You must handle the rest manually. -Defragmentation is an iterative process that should repreat "passes" as long as related functions -return `VK_INCOMPLETE` not `VK_SUCCESS`. -In each pass: - -1. vmaBeginDefragmentationPass() function call: - - Calculates and returns the list of allocations to be moved in this pass. - Note this can be a time-consuming process. - - Reserves destination memory for them by creating temporary destination allocations - that you can query for their `VkDeviceMemory` + offset using vmaGetAllocationInfo(). -2. Inside the pass, **you should**: - - Inspect the returned list of allocations to be moved. - - Create new buffers/images and bind them at the returned destination temporary allocations. - - Copy data from source to destination resources if necessary. - - Destroy the source buffers/images, but NOT their allocations. -3. vmaEndDefragmentationPass() function call: - - Frees the source memory reserved for the allocations that are moved. - - Modifies source #VmaAllocation objects that are moved to point to the destination reserved memory. - - Frees `VkDeviceMemory` blocks that became empty. - -Unlike in previous iterations of the defragmentation API, there is no list of "movable" allocations passed as a parameter. -Defragmentation algorithm tries to move all suitable allocations. -You can, however, refuse to move some of them inside a defragmentation pass, by setting -`pass.pMoves[i].operation` to #VMA_DEFRAGMENTATION_MOVE_OPERATION_IGNORE. -This is not recommended and may result in suboptimal packing of the allocations after defragmentation. -If you cannot ensure any allocation can be moved, it is better to keep movable allocations separate in a custom pool. - -Inside a pass, for each allocation that should be moved: - -- You should copy its data from the source to the destination place by calling e.g. `vkCmdCopyBuffer()`, `vkCmdCopyImage()`. - - You need to make sure these commands finished executing before destroying the source buffers/images and before calling vmaEndDefragmentationPass(). -- If a resource doesn't contain any meaningful data, e.g. it is a transient color attachment image to be cleared, - filled, and used temporarily in each rendering frame, you can just recreate this image - without copying its data. -- If the resource is in `HOST_VISIBLE` and `HOST_CACHED` memory, you can copy its data on the CPU - using `memcpy()`. -- If you cannot move the allocation, you can set `pass.pMoves[i].operation` to #VMA_DEFRAGMENTATION_MOVE_OPERATION_IGNORE. - This will cancel the move. - - vmaEndDefragmentationPass() will then free the destination memory - not the source memory of the allocation, leaving it unchanged. -- If you decide the allocation is unimportant and can be destroyed instead of moved (e.g. it wasn't used for long time), - you can set `pass.pMoves[i].operation` to #VMA_DEFRAGMENTATION_MOVE_OPERATION_DESTROY. - - vmaEndDefragmentationPass() will then free both source and destination memory, and will destroy the source #VmaAllocation object. - -You can defragment a specific custom pool by setting VmaDefragmentationInfo::pool -(like in the example above) or all the default pools by setting this member to null. - -Defragmentation is always performed in each pool separately. -Allocations are never moved between different Vulkan memory types. -The size of the destination memory reserved for a moved allocation is the same as the original one. -Alignment of an allocation as it was determined using `vkGetBufferMemoryRequirements()` etc. is also respected after defragmentation. -Buffers/images should be recreated with the same `VkBufferCreateInfo` / `VkImageCreateInfo` parameters as the original ones. - -You can perform the defragmentation incrementally to limit the number of allocations and bytes to be moved -in each pass, e.g. to call it in sync with render frames and not to experience too big hitches. -See members: VmaDefragmentationInfo::maxBytesPerPass, VmaDefragmentationInfo::maxAllocationsPerPass. - -It is also safe to perform the defragmentation asynchronously to render frames and other Vulkan and VMA -usage, possibly from multiple threads, with the exception that allocations -returned in VmaDefragmentationPassMoveInfo::pMoves shouldn't be destroyed until the defragmentation pass is ended. - -Mapping is preserved on allocations that are moved during defragmentation. -Whether through #VMA_ALLOCATION_CREATE_MAPPED_BIT or vmaMapMemory(), the allocations -are mapped at their new place. Of course, pointer to the mapped data changes, so it needs to be queried -using VmaAllocationInfo::pMappedData. - -\note Defragmentation is not supported in custom pools created with #VMA_POOL_CREATE_LINEAR_ALGORITHM_BIT. - - -\page statistics Statistics - -This library contains several functions that return information about its internal state, -especially the amount of memory allocated from Vulkan. - -\section statistics_numeric_statistics Numeric statistics - -If you need to obtain basic statistics about memory usage per heap, together with current budget, -you can call function vmaGetHeapBudgets() and inspect structure #VmaBudget. -This is useful to keep track of memory usage and stay within budget -(see also \ref staying_within_budget). -Example: - -\code -uint32_t heapIndex = ... - -VmaBudget budgets[VK_MAX_MEMORY_HEAPS]; -vmaGetHeapBudgets(allocator, budgets); - -printf("My heap currently has %u allocations taking %llu B,\n", - budgets[heapIndex].statistics.allocationCount, - budgets[heapIndex].statistics.allocationBytes); -printf("allocated out of %u Vulkan device memory blocks taking %llu B,\n", - budgets[heapIndex].statistics.blockCount, - budgets[heapIndex].statistics.blockBytes); -printf("Vulkan reports total usage %llu B with budget %llu B.\n", - budgets[heapIndex].usage, - budgets[heapIndex].budget); -\endcode - -You can query for more detailed statistics per memory heap, type, and totals, -including minimum and maximum allocation size and unused range size, -by calling function vmaCalculateStatistics() and inspecting structure #VmaTotalStatistics. -This function is slower though, as it has to traverse all the internal data structures, -so it should be used only for debugging purposes. - -You can query for statistics of a custom pool using function vmaGetPoolStatistics() -or vmaCalculatePoolStatistics(). - -You can query for information about a specific allocation using function vmaGetAllocationInfo(). -It fill structure #VmaAllocationInfo. - -\section statistics_json_dump JSON dump - -You can dump internal state of the allocator to a string in JSON format using function vmaBuildStatsString(). -The result is guaranteed to be correct JSON. -It uses ANSI encoding. -Any strings provided by user (see [Allocation names](@ref allocation_names)) -are copied as-is and properly escaped for JSON, so if they use UTF-8, ISO-8859-2 or any other encoding, -this JSON string can be treated as using this encoding. -It must be freed using function vmaFreeStatsString(). - -The format of this JSON string is not part of official documentation of the library, -but it will not change in backward-incompatible way without increasing library major version number -and appropriate mention in changelog. - -The JSON string contains all the data that can be obtained using vmaCalculateStatistics(). -It can also contain detailed map of allocated memory blocks and their regions - -free and occupied by allocations. -This allows e.g. to visualize the memory or assess fragmentation. - - -\page allocation_annotation Allocation names and user data - -\section allocation_user_data Allocation user data - -You can annotate allocations with your own information, e.g. for debugging purposes. -To do that, fill VmaAllocationCreateInfo::pUserData field when creating -an allocation. It is an opaque `void*` pointer. You can use it e.g. as a pointer, -some handle, index, key, ordinal number or any other value that would associate -the allocation with your custom metadata. -It is useful to identify appropriate data structures in your engine given #VmaAllocation, -e.g. when doing \ref defragmentation. - -\code -VkBufferCreateInfo bufCreateInfo = ... - -MyBufferMetadata* pMetadata = CreateBufferMetadata(); - -VmaAllocationCreateInfo allocCreateInfo = {}; -allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; -allocCreateInfo.pUserData = pMetadata; - -VkBuffer buffer; -VmaAllocation allocation; -vmaCreateBuffer(allocator, &bufCreateInfo, &allocCreateInfo, &buffer, &allocation, nullptr); -\endcode - -The pointer may be later retrieved as VmaAllocationInfo::pUserData: - -\code -VmaAllocationInfo allocInfo; -vmaGetAllocationInfo(allocator, allocation, &allocInfo); -MyBufferMetadata* pMetadata = (MyBufferMetadata*)allocInfo.pUserData; -\endcode - -It can also be changed using function vmaSetAllocationUserData(). - -Values of (non-zero) allocations' `pUserData` are printed in JSON report created by -vmaBuildStatsString() in hexadecimal form. - -\section allocation_names Allocation names - -An allocation can also carry a null-terminated string, giving a name to the allocation. -To set it, call vmaSetAllocationName(). -The library creates internal copy of the string, so the pointer you pass doesn't need -to be valid for whole lifetime of the allocation. You can free it after the call. - -\code -std::string imageName = "Texture: "; -imageName += fileName; -vmaSetAllocationName(allocator, allocation, imageName.c_str()); -\endcode - -The string can be later retrieved by inspecting VmaAllocationInfo::pName. -It is also printed in JSON report created by vmaBuildStatsString(). - -\note Setting string name to VMA allocation doesn't automatically set it to the Vulkan buffer or image created with it. -You must do it manually using an extension like VK_EXT_debug_utils, which is independent of this library. - - -\page virtual_allocator Virtual allocator - -As an extra feature, the core allocation algorithm of the library is exposed through a simple and convenient API of "virtual allocator". -It doesn't allocate any real GPU memory. It just keeps track of used and free regions of a "virtual block". -You can use it to allocate your own memory or other objects, even completely unrelated to Vulkan. -A common use case is sub-allocation of pieces of one large GPU buffer. - -\section virtual_allocator_creating_virtual_block Creating virtual block - -To use this functionality, there is no main "allocator" object. -You don't need to have #VmaAllocator object created. -All you need to do is to create a separate #VmaVirtualBlock object for each block of memory you want to be managed by the allocator: - --# Fill in #VmaVirtualBlockCreateInfo structure. --# Call vmaCreateVirtualBlock(). Get new #VmaVirtualBlock object. - -Example: - -\code -VmaVirtualBlockCreateInfo blockCreateInfo = {}; -blockCreateInfo.size = 1048576; // 1 MB - -VmaVirtualBlock block; -VkResult res = vmaCreateVirtualBlock(&blockCreateInfo, &block); -\endcode - -\section virtual_allocator_making_virtual_allocations Making virtual allocations - -#VmaVirtualBlock object contains internal data structure that keeps track of free and occupied regions -using the same code as the main Vulkan memory allocator. -Similarly to #VmaAllocation for standard GPU allocations, there is #VmaVirtualAllocation type -that represents an opaque handle to an allocation within the virtual block. - -In order to make such allocation: - --# Fill in #VmaVirtualAllocationCreateInfo structure. --# Call vmaVirtualAllocate(). Get new #VmaVirtualAllocation object that represents the allocation. - You can also receive `VkDeviceSize offset` that was assigned to the allocation. - -Example: - -\code -VmaVirtualAllocationCreateInfo allocCreateInfo = {}; -allocCreateInfo.size = 4096; // 4 KB - -VmaVirtualAllocation alloc; -VkDeviceSize offset; -res = vmaVirtualAllocate(block, &allocCreateInfo, &alloc, &offset); -if(res == VK_SUCCESS) -{ - // Use the 4 KB of your memory starting at offset. -} -else -{ - // Allocation failed - no space for it could be found. Handle this error! -} -\endcode - -\section virtual_allocator_deallocation Deallocation - -When no longer needed, an allocation can be freed by calling vmaVirtualFree(). -You can only pass to this function an allocation that was previously returned by vmaVirtualAllocate() -called for the same #VmaVirtualBlock. - -When whole block is no longer needed, the block object can be released by calling vmaDestroyVirtualBlock(). -All allocations must be freed before the block is destroyed, which is checked internally by an assert. -However, if you don't want to call vmaVirtualFree() for each allocation, you can use vmaClearVirtualBlock() to free them all at once - -a feature not available in normal Vulkan memory allocator. Example: - -\code -vmaVirtualFree(block, alloc); -vmaDestroyVirtualBlock(block); -\endcode - -\section virtual_allocator_allocation_parameters Allocation parameters - -You can attach a custom pointer to each allocation by using vmaSetVirtualAllocationUserData(). -Its default value is null. -It can be used to store any data that needs to be associated with that allocation - e.g. an index, a handle, or a pointer to some -larger data structure containing more information. Example: - -\code -struct CustomAllocData -{ - std::string m_AllocName; -}; -CustomAllocData* allocData = new CustomAllocData(); -allocData->m_AllocName = "My allocation 1"; -vmaSetVirtualAllocationUserData(block, alloc, allocData); -\endcode - -The pointer can later be fetched, along with allocation offset and size, by passing the allocation handle to function -vmaGetVirtualAllocationInfo() and inspecting returned structure #VmaVirtualAllocationInfo. -If you allocated a new object to be used as the custom pointer, don't forget to delete that object before freeing the allocation! -Example: - -\code -VmaVirtualAllocationInfo allocInfo; -vmaGetVirtualAllocationInfo(block, alloc, &allocInfo); -delete (CustomAllocData*)allocInfo.pUserData; - -vmaVirtualFree(block, alloc); -\endcode - -\section virtual_allocator_alignment_and_units Alignment and units - -It feels natural to express sizes and offsets in bytes. -If an offset of an allocation needs to be aligned to a multiply of some number (e.g. 4 bytes), you can fill optional member -VmaVirtualAllocationCreateInfo::alignment to request it. Example: - -\code -VmaVirtualAllocationCreateInfo allocCreateInfo = {}; -allocCreateInfo.size = 4096; // 4 KB -allocCreateInfo.alignment = 4; // Returned offset must be a multiply of 4 B - -VmaVirtualAllocation alloc; -res = vmaVirtualAllocate(block, &allocCreateInfo, &alloc, nullptr); -\endcode - -Alignments of different allocations made from one block may vary. -However, if all alignments and sizes are always multiply of some size e.g. 4 B or `sizeof(MyDataStruct)`, -you can express all sizes, alignments, and offsets in multiples of that size instead of individual bytes. -It might be more convenient, but you need to make sure to use this new unit consistently in all the places: - -- VmaVirtualBlockCreateInfo::size -- VmaVirtualAllocationCreateInfo::size and VmaVirtualAllocationCreateInfo::alignment -- Using offset returned by vmaVirtualAllocate() or in VmaVirtualAllocationInfo::offset - -\section virtual_allocator_statistics Statistics - -You can obtain statistics of a virtual block using vmaGetVirtualBlockStatistics() -(to get brief statistics that are fast to calculate) -or vmaCalculateVirtualBlockStatistics() (to get more detailed statistics, slower to calculate). -The functions fill structures #VmaStatistics, #VmaDetailedStatistics respectively - same as used by the normal Vulkan memory allocator. -Example: - -\code -VmaStatistics stats; -vmaGetVirtualBlockStatistics(block, &stats); -printf("My virtual block has %llu bytes used by %u virtual allocations\n", - stats.allocationBytes, stats.allocationCount); -\endcode - -You can also request a full list of allocations and free regions as a string in JSON format by calling -vmaBuildVirtualBlockStatsString(). -Returned string must be later freed using vmaFreeVirtualBlockStatsString(). -The format of this string differs from the one returned by the main Vulkan allocator, but it is similar. - -\section virtual_allocator_additional_considerations Additional considerations - -The "virtual allocator" functionality is implemented on a level of individual memory blocks. -Keeping track of a whole collection of blocks, allocating new ones when out of free space, -deleting empty ones, and deciding which one to try first for a new allocation must be implemented by the user. - -Alternative allocation algorithms are supported, just like in custom pools of the real GPU memory. -See enum #VmaVirtualBlockCreateFlagBits to learn how to specify them (e.g. #VMA_VIRTUAL_BLOCK_CREATE_LINEAR_ALGORITHM_BIT). -You can find their description in chapter \ref custom_memory_pools. -Allocation strategies are also supported. -See enum #VmaVirtualAllocationCreateFlagBits to learn how to specify them (e.g. #VMA_VIRTUAL_ALLOCATION_CREATE_STRATEGY_MIN_TIME_BIT). - -Following features are supported only by the allocator of the real GPU memory and not by virtual allocations: -buffer-image granularity, `VMA_DEBUG_MARGIN`, `VMA_MIN_ALIGNMENT`. - - -\page debugging_memory_usage Debugging incorrect memory usage - -If you suspect a bug with memory usage, like usage of uninitialized memory or -memory being overwritten out of bounds of an allocation, -you can use debug features of this library to verify this. - -\section debugging_memory_usage_initialization Memory initialization - -If you experience a bug with incorrect and nondeterministic data in your program and you suspect uninitialized memory to be used, -you can enable automatic memory initialization to verify this. -To do it, define macro `VMA_DEBUG_INITIALIZE_ALLOCATIONS` to 1. - -\code -#define VMA_DEBUG_INITIALIZE_ALLOCATIONS 1 -#include "vk_mem_alloc.h" -\endcode - -It makes memory of new allocations initialized to bit pattern `0xDCDCDCDC`. -Before an allocation is destroyed, its memory is filled with bit pattern `0xEFEFEFEF`. -Memory is automatically mapped and unmapped if necessary. - -If you find these values while debugging your program, good chances are that you incorrectly -read Vulkan memory that is allocated but not initialized, or already freed, respectively. - -Memory initialization works only with memory types that are `HOST_VISIBLE` and with allocations that can be mapped. -It works also with dedicated allocations. - -\section debugging_memory_usage_margins Margins - -By default, allocations are laid out in memory blocks next to each other if possible -(considering required alignment, `bufferImageGranularity`, and `nonCoherentAtomSize`). - -![Allocations without margin](../gfx/Margins_1.png) - -Define macro `VMA_DEBUG_MARGIN` to some non-zero value (e.g. 16) to enforce specified -number of bytes as a margin after every allocation. - -\code -#define VMA_DEBUG_MARGIN 16 -#include "vk_mem_alloc.h" -\endcode - -![Allocations with margin](../gfx/Margins_2.png) - -If your bug goes away after enabling margins, it means it may be caused by memory -being overwritten outside of allocation boundaries. It is not 100% certain though. -Change in application behavior may also be caused by different order and distribution -of allocations across memory blocks after margins are applied. - -Margins work with all types of memory. - -Margin is applied only to allocations made out of memory blocks and not to dedicated -allocations, which have their own memory block of specific size. -It is thus not applied to allocations made using #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT flag -or those automatically decided to put into dedicated allocations, e.g. due to its -large size or recommended by VK_KHR_dedicated_allocation extension. - -Margins appear in [JSON dump](@ref statistics_json_dump) as part of free space. - -Note that enabling margins increases memory usage and fragmentation. - -Margins do not apply to \ref virtual_allocator. - -\section debugging_memory_usage_corruption_detection Corruption detection - -You can additionally define macro `VMA_DEBUG_DETECT_CORRUPTION` to 1 to enable validation -of contents of the margins. - -\code -#define VMA_DEBUG_MARGIN 16 -#define VMA_DEBUG_DETECT_CORRUPTION 1 -#include "vk_mem_alloc.h" -\endcode - -When this feature is enabled, number of bytes specified as `VMA_DEBUG_MARGIN` -(it must be multiply of 4) after every allocation is filled with a magic number. -This idea is also know as "canary". -Memory is automatically mapped and unmapped if necessary. - -This number is validated automatically when the allocation is destroyed. -If it is not equal to the expected value, `VMA_ASSERT()` is executed. -It clearly means that either CPU or GPU overwritten the memory outside of boundaries of the allocation, -which indicates a serious bug. - -You can also explicitly request checking margins of all allocations in all memory blocks -that belong to specified memory types by using function vmaCheckCorruption(), -or in memory blocks that belong to specified custom pool, by using function -vmaCheckPoolCorruption(). - -Margin validation (corruption detection) works only for memory types that are -`HOST_VISIBLE` and `HOST_COHERENT`. - - -\page opengl_interop OpenGL Interop - -VMA provides some features that help with interoperability with OpenGL. - -\section opengl_interop_exporting_memory Exporting memory - -If you want to attach `VkExportMemoryAllocateInfoKHR` structure to `pNext` chain of memory allocations made by the library: - -It is recommended to create \ref custom_memory_pools for such allocations. -Define and fill in your `VkExportMemoryAllocateInfoKHR` structure and attach it to VmaPoolCreateInfo::pMemoryAllocateNext -while creating the custom pool. -Please note that the structure must remain alive and unchanged for the whole lifetime of the #VmaPool, -not only while creating it, as no copy of the structure is made, -but its original pointer is used for each allocation instead. - -If you want to export all memory allocated by the library from certain memory types, -also dedicated allocations or other allocations made from default pools, -an alternative solution is to fill in VmaAllocatorCreateInfo::pTypeExternalMemoryHandleTypes. -It should point to an array with `VkExternalMemoryHandleTypeFlagsKHR` to be automatically passed by the library -through `VkExportMemoryAllocateInfoKHR` on each allocation made from a specific memory type. -Please note that new versions of the library also support dedicated allocations created in custom pools. - -You should not mix these two methods in a way that allows to apply both to the same memory type. -Otherwise, `VkExportMemoryAllocateInfoKHR` structure would be attached twice to the `pNext` chain of `VkMemoryAllocateInfo`. - - -\section opengl_interop_custom_alignment Custom alignment - -Buffers or images exported to a different API like OpenGL may require a different alignment, -higher than the one used by the library automatically, queried from functions like `vkGetBufferMemoryRequirements`. -To impose such alignment: - -It is recommended to create \ref custom_memory_pools for such allocations. -Set VmaPoolCreateInfo::minAllocationAlignment member to the minimum alignment required for each allocation -to be made out of this pool. -The alignment actually used will be the maximum of this member and the alignment returned for the specific buffer or image -from a function like `vkGetBufferMemoryRequirements`, which is called by VMA automatically. - -If you want to create a buffer with a specific minimum alignment out of default pools, -use special function vmaCreateBufferWithAlignment(), which takes additional parameter `minAlignment`. - -Note the problem of alignment affects only resources placed inside bigger `VkDeviceMemory` blocks and not dedicated -allocations, as these, by definition, always have alignment = 0 because the resource is bound to the beginning of its dedicated block. -Contrary to Direct3D 12, Vulkan doesn't have a concept of alignment of the entire memory block passed on its allocation. - - -\page usage_patterns Recommended usage patterns - -Vulkan gives great flexibility in memory allocation. -This chapter shows the most common patterns. - -See also slides from talk: -[Sawicki, Adam. Advanced Graphics Techniques Tutorial: Memory management in Vulkan and DX12. Game Developers Conference, 2018](https://www.gdcvault.com/play/1025458/Advanced-Graphics-Techniques-Tutorial-New) - - -\section usage_patterns_gpu_only GPU-only resource - -When: -Any resources that you frequently write and read on GPU, -e.g. images used as color attachments (aka "render targets"), depth-stencil attachments, -images/buffers used as storage image/buffer (aka "Unordered Access View (UAV)"). - -What to do: -Let the library select the optimal memory type, which will likely have `VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT`. - -\code -VkImageCreateInfo imgCreateInfo = { VK_STRUCTURE_TYPE_IMAGE_CREATE_INFO }; -imgCreateInfo.imageType = VK_IMAGE_TYPE_2D; -imgCreateInfo.extent.width = 3840; -imgCreateInfo.extent.height = 2160; -imgCreateInfo.extent.depth = 1; -imgCreateInfo.mipLevels = 1; -imgCreateInfo.arrayLayers = 1; -imgCreateInfo.format = VK_FORMAT_R8G8B8A8_UNORM; -imgCreateInfo.tiling = VK_IMAGE_TILING_OPTIMAL; -imgCreateInfo.initialLayout = VK_IMAGE_LAYOUT_UNDEFINED; -imgCreateInfo.usage = VK_IMAGE_USAGE_SAMPLED_BIT | VK_IMAGE_USAGE_COLOR_ATTACHMENT_BIT; -imgCreateInfo.samples = VK_SAMPLE_COUNT_1_BIT; - -VmaAllocationCreateInfo allocCreateInfo = {}; -allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; -allocCreateInfo.flags = VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT; -allocCreateInfo.priority = 1.0f; - -VkImage img; -VmaAllocation alloc; -vmaCreateImage(allocator, &imgCreateInfo, &allocCreateInfo, &img, &alloc, nullptr); -\endcode - -Also consider: -Consider creating them as dedicated allocations using #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT, -especially if they are large or if you plan to destroy and recreate them with different sizes -e.g. when display resolution changes. -Prefer to create such resources first and all other GPU resources (like textures and vertex buffers) later. -When VK_EXT_memory_priority extension is enabled, it is also worth setting high priority to such allocation -to decrease chances to be evicted to system memory by the operating system. - -\section usage_patterns_staging_copy_upload Staging copy for upload - -When: -A "staging" buffer than you want to map and fill from CPU code, then use as a source of transfer -to some GPU resource. - -What to do: -Use flag #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT. -Let the library select the optimal memory type, which will always have `VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT`. - -\code -VkBufferCreateInfo bufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; -bufCreateInfo.size = 65536; -bufCreateInfo.usage = VK_BUFFER_USAGE_TRANSFER_SRC_BIT; - -VmaAllocationCreateInfo allocCreateInfo = {}; -allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; -allocCreateInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | - VMA_ALLOCATION_CREATE_MAPPED_BIT; - -VkBuffer buf; -VmaAllocation alloc; -VmaAllocationInfo allocInfo; -vmaCreateBuffer(allocator, &bufCreateInfo, &allocCreateInfo, &buf, &alloc, &allocInfo); - -... - -memcpy(allocInfo.pMappedData, myData, myDataSize); -\endcode - -Also consider: -You can map the allocation using vmaMapMemory() or you can create it as persistenly mapped -using #VMA_ALLOCATION_CREATE_MAPPED_BIT, as in the example above. - - -\section usage_patterns_readback Readback - -When: -Buffers for data written by or transferred from the GPU that you want to read back on the CPU, -e.g. results of some computations. - -What to do: -Use flag #VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT. -Let the library select the optimal memory type, which will always have `VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT` -and `VK_MEMORY_PROPERTY_HOST_CACHED_BIT`. - -\code -VkBufferCreateInfo bufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; -bufCreateInfo.size = 65536; -bufCreateInfo.usage = VK_BUFFER_USAGE_TRANSFER_DST_BIT; - -VmaAllocationCreateInfo allocCreateInfo = {}; -allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; -allocCreateInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | - VMA_ALLOCATION_CREATE_MAPPED_BIT; - -VkBuffer buf; -VmaAllocation alloc; -VmaAllocationInfo allocInfo; -vmaCreateBuffer(allocator, &bufCreateInfo, &allocCreateInfo, &buf, &alloc, &allocInfo); - -... - -const float* downloadedData = (const float*)allocInfo.pMappedData; -\endcode - - -\section usage_patterns_advanced_data_uploading Advanced data uploading - -For resources that you frequently write on CPU via mapped pointer and -frequently read on GPU e.g. as a uniform buffer (also called "dynamic"), multiple options are possible: - --# Easiest solution is to have one copy of the resource in `HOST_VISIBLE` memory, - even if it means system RAM (not `DEVICE_LOCAL`) on systems with a discrete graphics card, - and make the device reach out to that resource directly. - - Reads performed by the device will then go through PCI Express bus. - The performance of this access may be limited, but it may be fine depending on the size - of this resource (whether it is small enough to quickly end up in GPU cache) and the sparsity - of access. --# On systems with unified memory (e.g. AMD APU or Intel integrated graphics, mobile chips), - a memory type may be available that is both `HOST_VISIBLE` (available for mapping) and `DEVICE_LOCAL` - (fast to access from the GPU). Then, it is likely the best choice for such type of resource. --# Systems with a discrete graphics card and separate video memory may or may not expose - a memory type that is both `HOST_VISIBLE` and `DEVICE_LOCAL`, also known as Base Address Register (BAR). - If they do, it represents a piece of VRAM (or entire VRAM, if ReBAR is enabled in the motherboard BIOS) - that is available to CPU for mapping. - - Writes performed by the host to that memory go through PCI Express bus. - The performance of these writes may be limited, but it may be fine, especially on PCIe 4.0, - as long as rules of using uncached and write-combined memory are followed - only sequential writes and no reads. --# Finally, you may need or prefer to create a separate copy of the resource in `DEVICE_LOCAL` memory, - a separate "staging" copy in `HOST_VISIBLE` memory and perform an explicit transfer command between them. - -Thankfully, VMA offers an aid to create and use such resources in the the way optimal -for the current Vulkan device. To help the library make the best choice, -use flag #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT together with -#VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT. -It will then prefer a memory type that is both `DEVICE_LOCAL` and `HOST_VISIBLE` (integrated memory or BAR), -but if no such memory type is available or allocation from it fails -(PC graphics cards have only 256 MB of BAR by default, unless ReBAR is supported and enabled in BIOS), -it will fall back to `DEVICE_LOCAL` memory for fast GPU access. -It is then up to you to detect that the allocation ended up in a memory type that is not `HOST_VISIBLE`, -so you need to create another "staging" allocation and perform explicit transfers. - -\code -VkBufferCreateInfo bufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; -bufCreateInfo.size = 65536; -bufCreateInfo.usage = VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT | VK_BUFFER_USAGE_TRANSFER_DST_BIT; - -VmaAllocationCreateInfo allocCreateInfo = {}; -allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; -allocCreateInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | - VMA_ALLOCATION_CREATE_HOST_ACCESS_ALLOW_TRANSFER_INSTEAD_BIT | - VMA_ALLOCATION_CREATE_MAPPED_BIT; - -VkBuffer buf; -VmaAllocation alloc; -VmaAllocationInfo allocInfo; -vmaCreateBuffer(allocator, &bufCreateInfo, &allocCreateInfo, &buf, &alloc, &allocInfo); - -VkMemoryPropertyFlags memPropFlags; -vmaGetAllocationMemoryProperties(allocator, alloc, &memPropFlags); - -if(memPropFlags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) -{ - // Allocation ended up in a mappable memory and is already mapped - write to it directly. - - // [Executed in runtime]: - memcpy(allocInfo.pMappedData, myData, myDataSize); -} -else -{ - // Allocation ended up in a non-mappable memory - need to transfer. - VkBufferCreateInfo stagingBufCreateInfo = { VK_STRUCTURE_TYPE_BUFFER_CREATE_INFO }; - stagingBufCreateInfo.size = 65536; - stagingBufCreateInfo.usage = VK_BUFFER_USAGE_TRANSFER_SRC_BIT; - - VmaAllocationCreateInfo stagingAllocCreateInfo = {}; - stagingAllocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; - stagingAllocCreateInfo.flags = VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | - VMA_ALLOCATION_CREATE_MAPPED_BIT; - - VkBuffer stagingBuf; - VmaAllocation stagingAlloc; - VmaAllocationInfo stagingAllocInfo; - vmaCreateBuffer(allocator, &stagingBufCreateInfo, &stagingAllocCreateInfo, - &stagingBuf, &stagingAlloc, stagingAllocInfo); - - // [Executed in runtime]: - memcpy(stagingAllocInfo.pMappedData, myData, myDataSize); - vmaFlushAllocation(allocator, stagingAlloc, 0, VK_WHOLE_SIZE); - //vkCmdPipelineBarrier: VK_ACCESS_HOST_WRITE_BIT --> VK_ACCESS_TRANSFER_READ_BIT - VkBufferCopy bufCopy = { - 0, // srcOffset - 0, // dstOffset, - myDataSize); // size - vkCmdCopyBuffer(cmdBuf, stagingBuf, buf, 1, &bufCopy); -} -\endcode - -\section usage_patterns_other_use_cases Other use cases - -Here are some other, less obvious use cases and their recommended settings: - -- An image that is used only as transfer source and destination, but it should stay on the device, - as it is used to temporarily store a copy of some texture, e.g. from the current to the next frame, - for temporal antialiasing or other temporal effects. - - Use `VkImageCreateInfo::usage = VK_IMAGE_USAGE_TRANSFER_SRC_BIT | VK_IMAGE_USAGE_TRANSFER_DST_BIT` - - Use VmaAllocationCreateInfo::usage = #VMA_MEMORY_USAGE_AUTO -- An image that is used only as transfer source and destination, but it should be placed - in the system RAM despite it doesn't need to be mapped, because it serves as a "swap" copy to evict - least recently used textures from VRAM. - - Use `VkImageCreateInfo::usage = VK_IMAGE_USAGE_TRANSFER_SRC_BIT | VK_IMAGE_USAGE_TRANSFER_DST_BIT` - - Use VmaAllocationCreateInfo::usage = #VMA_MEMORY_USAGE_AUTO_PREFER_HOST, - as VMA needs a hint here to differentiate from the previous case. -- A buffer that you want to map and write from the CPU, directly read from the GPU - (e.g. as a uniform or vertex buffer), but you have a clear preference to place it in device or - host memory due to its large size. - - Use `VkBufferCreateInfo::usage = VK_BUFFER_USAGE_UNIFORM_BUFFER_BIT` - - Use VmaAllocationCreateInfo::usage = #VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE or #VMA_MEMORY_USAGE_AUTO_PREFER_HOST - - Use VmaAllocationCreateInfo::flags = #VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT - - -\page configuration Configuration - -Please check "CONFIGURATION SECTION" in the code to find macros that you can define -before each include of this file or change directly in this file to provide -your own implementation of basic facilities like assert, `min()` and `max()` functions, -mutex, atomic etc. -The library uses its own implementation of containers by default, but you can switch to using -STL containers instead. - -For example, define `VMA_ASSERT(expr)` before including the library to provide -custom implementation of the assertion, compatible with your project. -By default it is defined to standard C `assert(expr)` in `_DEBUG` configuration -and empty otherwise. - -\section config_Vulkan_functions Pointers to Vulkan functions - -There are multiple ways to import pointers to Vulkan functions in the library. -In the simplest case you don't need to do anything. -If the compilation or linking of your program or the initialization of the #VmaAllocator -doesn't work for you, you can try to reconfigure it. - -First, the allocator tries to fetch pointers to Vulkan functions linked statically, -like this: - -\code -m_VulkanFunctions.vkAllocateMemory = (PFN_vkAllocateMemory)vkAllocateMemory; -\endcode - -If you want to disable this feature, set configuration macro: `#define VMA_STATIC_VULKAN_FUNCTIONS 0`. - -Second, you can provide the pointers yourself by setting member VmaAllocatorCreateInfo::pVulkanFunctions. -You can fetch them e.g. using functions `vkGetInstanceProcAddr` and `vkGetDeviceProcAddr` or -by using a helper library like [volk](https://github.com/zeux/volk). - -Third, VMA tries to fetch remaining pointers that are still null by calling -`vkGetInstanceProcAddr` and `vkGetDeviceProcAddr` on its own. -You need to only fill in VmaVulkanFunctions::vkGetInstanceProcAddr and VmaVulkanFunctions::vkGetDeviceProcAddr. -Other pointers will be fetched automatically. -If you want to disable this feature, set configuration macro: `#define VMA_DYNAMIC_VULKAN_FUNCTIONS 0`. - -Finally, all the function pointers required by the library (considering selected -Vulkan version and enabled extensions) are checked with `VMA_ASSERT` if they are not null. - - -\section custom_memory_allocator Custom host memory allocator - -If you use custom allocator for CPU memory rather than default operator `new` -and `delete` from C++, you can make this library using your allocator as well -by filling optional member VmaAllocatorCreateInfo::pAllocationCallbacks. These -functions will be passed to Vulkan, as well as used by the library itself to -make any CPU-side allocations. - -\section allocation_callbacks Device memory allocation callbacks - -The library makes calls to `vkAllocateMemory()` and `vkFreeMemory()` internally. -You can setup callbacks to be informed about these calls, e.g. for the purpose -of gathering some statistics. To do it, fill optional member -VmaAllocatorCreateInfo::pDeviceMemoryCallbacks. - -\section heap_memory_limit Device heap memory limit - -When device memory of certain heap runs out of free space, new allocations may -fail (returning error code) or they may succeed, silently pushing some existing_ -memory blocks from GPU VRAM to system RAM (which degrades performance). This -behavior is implementation-dependent - it depends on GPU vendor and graphics -driver. - -On AMD cards it can be controlled while creating Vulkan device object by using -VK_AMD_memory_overallocation_behavior extension, if available. - -Alternatively, if you want to test how your program behaves with limited amount of Vulkan device -memory available without switching your graphics card to one that really has -smaller VRAM, you can use a feature of this library intended for this purpose. -To do it, fill optional member VmaAllocatorCreateInfo::pHeapSizeLimit. - - - -\page vk_khr_dedicated_allocation VK_KHR_dedicated_allocation - -VK_KHR_dedicated_allocation is a Vulkan extension which can be used to improve -performance on some GPUs. It augments Vulkan API with possibility to query -driver whether it prefers particular buffer or image to have its own, dedicated -allocation (separate `VkDeviceMemory` block) for better efficiency - to be able -to do some internal optimizations. The extension is supported by this library. -It will be used automatically when enabled. - -It has been promoted to core Vulkan 1.1, so if you use eligible Vulkan version -and inform VMA about it by setting VmaAllocatorCreateInfo::vulkanApiVersion, -you are all set. - -Otherwise, if you want to use it as an extension: - -1 . When creating Vulkan device, check if following 2 device extensions are -supported (call `vkEnumerateDeviceExtensionProperties()`). -If yes, enable them (fill `VkDeviceCreateInfo::ppEnabledExtensionNames`). - -- VK_KHR_get_memory_requirements2 -- VK_KHR_dedicated_allocation - -If you enabled these extensions: - -2 . Use #VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT flag when creating -your #VmaAllocator to inform the library that you enabled required extensions -and you want the library to use them. - -\code -allocatorInfo.flags |= VMA_ALLOCATOR_CREATE_KHR_DEDICATED_ALLOCATION_BIT; - -vmaCreateAllocator(&allocatorInfo, &allocator); -\endcode - -That is all. The extension will be automatically used whenever you create a -buffer using vmaCreateBuffer() or image using vmaCreateImage(). - -When using the extension together with Vulkan Validation Layer, you will receive -warnings like this: - -_vkBindBufferMemory(): Binding memory to buffer 0x33 but vkGetBufferMemoryRequirements() has not been called on that buffer._ - -It is OK, you should just ignore it. It happens because you use function -`vkGetBufferMemoryRequirements2KHR()` instead of standard -`vkGetBufferMemoryRequirements()`, while the validation layer seems to be -unaware of it. - -To learn more about this extension, see: - -- [VK_KHR_dedicated_allocation in Vulkan specification](https://www.khronos.org/registry/vulkan/specs/1.2-extensions/html/chap50.html#VK_KHR_dedicated_allocation) -- [VK_KHR_dedicated_allocation unofficial manual](http://asawicki.info/articles/VK_KHR_dedicated_allocation.php5) - - - -\page vk_ext_memory_priority VK_EXT_memory_priority - -VK_EXT_memory_priority is a device extension that allows to pass additional "priority" -value to Vulkan memory allocations that the implementation may use prefer certain -buffers and images that are critical for performance to stay in device-local memory -in cases when the memory is over-subscribed, while some others may be moved to the system memory. - -VMA offers convenient usage of this extension. -If you enable it, you can pass "priority" parameter when creating allocations or custom pools -and the library automatically passes the value to Vulkan using this extension. - -If you want to use this extension in connection with VMA, follow these steps: - -\section vk_ext_memory_priority_initialization Initialization - -1) Call `vkEnumerateDeviceExtensionProperties` for the physical device. -Check if the extension is supported - if returned array of `VkExtensionProperties` contains "VK_EXT_memory_priority". - -2) Call `vkGetPhysicalDeviceFeatures2` for the physical device instead of old `vkGetPhysicalDeviceFeatures`. -Attach additional structure `VkPhysicalDeviceMemoryPriorityFeaturesEXT` to `VkPhysicalDeviceFeatures2::pNext` to be returned. -Check if the device feature is really supported - check if `VkPhysicalDeviceMemoryPriorityFeaturesEXT::memoryPriority` is true. - -3) While creating device with `vkCreateDevice`, enable this extension - add "VK_EXT_memory_priority" -to the list passed as `VkDeviceCreateInfo::ppEnabledExtensionNames`. - -4) While creating the device, also don't set `VkDeviceCreateInfo::pEnabledFeatures`. -Fill in `VkPhysicalDeviceFeatures2` structure instead and pass it as `VkDeviceCreateInfo::pNext`. -Enable this device feature - attach additional structure `VkPhysicalDeviceMemoryPriorityFeaturesEXT` to -`VkPhysicalDeviceFeatures2::pNext` chain and set its member `memoryPriority` to `VK_TRUE`. - -5) While creating #VmaAllocator with vmaCreateAllocator() inform VMA that you -have enabled this extension and feature - add #VMA_ALLOCATOR_CREATE_EXT_MEMORY_PRIORITY_BIT -to VmaAllocatorCreateInfo::flags. - -\section vk_ext_memory_priority_usage Usage - -When using this extension, you should initialize following member: - -- VmaAllocationCreateInfo::priority when creating a dedicated allocation with #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. -- VmaPoolCreateInfo::priority when creating a custom pool. - -It should be a floating-point value between `0.0f` and `1.0f`, where recommended default is `0.5f`. -Memory allocated with higher value can be treated by the Vulkan implementation as higher priority -and so it can have lower chances of being pushed out to system memory, experiencing degraded performance. - -It might be a good idea to create performance-critical resources like color-attachment or depth-stencil images -as dedicated and set high priority to them. For example: - -\code -VkImageCreateInfo imgCreateInfo = { VK_STRUCTURE_TYPE_IMAGE_CREATE_INFO }; -imgCreateInfo.imageType = VK_IMAGE_TYPE_2D; -imgCreateInfo.extent.width = 3840; -imgCreateInfo.extent.height = 2160; -imgCreateInfo.extent.depth = 1; -imgCreateInfo.mipLevels = 1; -imgCreateInfo.arrayLayers = 1; -imgCreateInfo.format = VK_FORMAT_R8G8B8A8_UNORM; -imgCreateInfo.tiling = VK_IMAGE_TILING_OPTIMAL; -imgCreateInfo.initialLayout = VK_IMAGE_LAYOUT_UNDEFINED; -imgCreateInfo.usage = VK_IMAGE_USAGE_SAMPLED_BIT | VK_IMAGE_USAGE_COLOR_ATTACHMENT_BIT; -imgCreateInfo.samples = VK_SAMPLE_COUNT_1_BIT; - -VmaAllocationCreateInfo allocCreateInfo = {}; -allocCreateInfo.usage = VMA_MEMORY_USAGE_AUTO; -allocCreateInfo.flags = VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT; -allocCreateInfo.priority = 1.0f; - -VkImage img; -VmaAllocation alloc; -vmaCreateImage(allocator, &imgCreateInfo, &allocCreateInfo, &img, &alloc, nullptr); -\endcode - -`priority` member is ignored in the following situations: - -- Allocations created in custom pools: They inherit the priority, along with all other allocation parameters - from the parametrs passed in #VmaPoolCreateInfo when the pool was created. -- Allocations created in default pools: They inherit the priority from the parameters - VMA used when creating default pools, which means `priority == 0.5f`. - - -\page vk_amd_device_coherent_memory VK_AMD_device_coherent_memory - -VK_AMD_device_coherent_memory is a device extension that enables access to -additional memory types with `VK_MEMORY_PROPERTY_DEVICE_COHERENT_BIT_AMD` and -`VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD` flag. It is useful mostly for -allocation of buffers intended for writing "breadcrumb markers" in between passes -or draw calls, which in turn are useful for debugging GPU crash/hang/TDR cases. - -When the extension is available but has not been enabled, Vulkan physical device -still exposes those memory types, but their usage is forbidden. VMA automatically -takes care of that - it returns `VK_ERROR_FEATURE_NOT_PRESENT` when an attempt -to allocate memory of such type is made. - -If you want to use this extension in connection with VMA, follow these steps: - -\section vk_amd_device_coherent_memory_initialization Initialization - -1) Call `vkEnumerateDeviceExtensionProperties` for the physical device. -Check if the extension is supported - if returned array of `VkExtensionProperties` contains "VK_AMD_device_coherent_memory". - -2) Call `vkGetPhysicalDeviceFeatures2` for the physical device instead of old `vkGetPhysicalDeviceFeatures`. -Attach additional structure `VkPhysicalDeviceCoherentMemoryFeaturesAMD` to `VkPhysicalDeviceFeatures2::pNext` to be returned. -Check if the device feature is really supported - check if `VkPhysicalDeviceCoherentMemoryFeaturesAMD::deviceCoherentMemory` is true. - -3) While creating device with `vkCreateDevice`, enable this extension - add "VK_AMD_device_coherent_memory" -to the list passed as `VkDeviceCreateInfo::ppEnabledExtensionNames`. - -4) While creating the device, also don't set `VkDeviceCreateInfo::pEnabledFeatures`. -Fill in `VkPhysicalDeviceFeatures2` structure instead and pass it as `VkDeviceCreateInfo::pNext`. -Enable this device feature - attach additional structure `VkPhysicalDeviceCoherentMemoryFeaturesAMD` to -`VkPhysicalDeviceFeatures2::pNext` and set its member `deviceCoherentMemory` to `VK_TRUE`. - -5) While creating #VmaAllocator with vmaCreateAllocator() inform VMA that you -have enabled this extension and feature - add #VMA_ALLOCATOR_CREATE_AMD_DEVICE_COHERENT_MEMORY_BIT -to VmaAllocatorCreateInfo::flags. - -\section vk_amd_device_coherent_memory_usage Usage - -After following steps described above, you can create VMA allocations and custom pools -out of the special `DEVICE_COHERENT` and `DEVICE_UNCACHED` memory types on eligible -devices. There are multiple ways to do it, for example: - -- You can request or prefer to allocate out of such memory types by adding - `VK_MEMORY_PROPERTY_DEVICE_UNCACHED_BIT_AMD` to VmaAllocationCreateInfo::requiredFlags - or VmaAllocationCreateInfo::preferredFlags. Those flags can be freely mixed with - other ways of \ref choosing_memory_type, like setting VmaAllocationCreateInfo::usage. -- If you manually found memory type index to use for this purpose, force allocation - from this specific index by setting VmaAllocationCreateInfo::memoryTypeBits `= 1u << index`. - -\section vk_amd_device_coherent_memory_more_information More information - -To learn more about this extension, see [VK_AMD_device_coherent_memory in Vulkan specification](https://www.khronos.org/registry/vulkan/specs/1.2-extensions/man/html/VK_AMD_device_coherent_memory.html) - -Example use of this extension can be found in the code of the sample and test suite -accompanying this library. - - -\page enabling_buffer_device_address Enabling buffer device address - -Device extension VK_KHR_buffer_device_address -allow to fetch raw GPU pointer to a buffer and pass it for usage in a shader code. -It has been promoted to core Vulkan 1.2. - -If you want to use this feature in connection with VMA, follow these steps: - -\section enabling_buffer_device_address_initialization Initialization - -1) (For Vulkan version < 1.2) Call `vkEnumerateDeviceExtensionProperties` for the physical device. -Check if the extension is supported - if returned array of `VkExtensionProperties` contains -"VK_KHR_buffer_device_address". - -2) Call `vkGetPhysicalDeviceFeatures2` for the physical device instead of old `vkGetPhysicalDeviceFeatures`. -Attach additional structure `VkPhysicalDeviceBufferDeviceAddressFeatures*` to `VkPhysicalDeviceFeatures2::pNext` to be returned. -Check if the device feature is really supported - check if `VkPhysicalDeviceBufferDeviceAddressFeatures::bufferDeviceAddress` is true. - -3) (For Vulkan version < 1.2) While creating device with `vkCreateDevice`, enable this extension - add -"VK_KHR_buffer_device_address" to the list passed as `VkDeviceCreateInfo::ppEnabledExtensionNames`. - -4) While creating the device, also don't set `VkDeviceCreateInfo::pEnabledFeatures`. -Fill in `VkPhysicalDeviceFeatures2` structure instead and pass it as `VkDeviceCreateInfo::pNext`. -Enable this device feature - attach additional structure `VkPhysicalDeviceBufferDeviceAddressFeatures*` to -`VkPhysicalDeviceFeatures2::pNext` and set its member `bufferDeviceAddress` to `VK_TRUE`. - -5) While creating #VmaAllocator with vmaCreateAllocator() inform VMA that you -have enabled this feature - add #VMA_ALLOCATOR_CREATE_BUFFER_DEVICE_ADDRESS_BIT -to VmaAllocatorCreateInfo::flags. - -\section enabling_buffer_device_address_usage Usage - -After following steps described above, you can create buffers with `VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT*` using VMA. -The library automatically adds `VK_MEMORY_ALLOCATE_DEVICE_ADDRESS_BIT*` to -allocated memory blocks wherever it might be needed. - -Please note that the library supports only `VK_BUFFER_USAGE_SHADER_DEVICE_ADDRESS_BIT*`. -The second part of this functionality related to "capture and replay" is not supported, -as it is intended for usage in debugging tools like RenderDoc, not in everyday Vulkan usage. - -\section enabling_buffer_device_address_more_information More information - -To learn more about this extension, see [VK_KHR_buffer_device_address in Vulkan specification](https://www.khronos.org/registry/vulkan/specs/1.2-extensions/html/chap46.html#VK_KHR_buffer_device_address) - -Example use of this extension can be found in the code of the sample and test suite -accompanying this library. - -\page general_considerations General considerations - -\section general_considerations_thread_safety Thread safety - -- The library has no global state, so separate #VmaAllocator objects can be used - independently. - There should be no need to create multiple such objects though - one per `VkDevice` is enough. -- By default, all calls to functions that take #VmaAllocator as first parameter - are safe to call from multiple threads simultaneously because they are - synchronized internally when needed. - This includes allocation and deallocation from default memory pool, as well as custom #VmaPool. -- When the allocator is created with #VMA_ALLOCATOR_CREATE_EXTERNALLY_SYNCHRONIZED_BIT - flag, calls to functions that take such #VmaAllocator object must be - synchronized externally. -- Access to a #VmaAllocation object must be externally synchronized. For example, - you must not call vmaGetAllocationInfo() and vmaMapMemory() from different - threads at the same time if you pass the same #VmaAllocation object to these - functions. -- #VmaVirtualBlock is not safe to be used from multiple threads simultaneously. - -\section general_considerations_versioning_and_compatibility Versioning and compatibility - -The library uses [**Semantic Versioning**](https://semver.org/), -which means version numbers follow convention: Major.Minor.Patch (e.g. 2.3.0), where: - -- Incremented Patch version means a release is backward- and forward-compatible, - introducing only some internal improvements, bug fixes, optimizations etc. - or changes that are out of scope of the official API described in this documentation. -- Incremented Minor version means a release is backward-compatible, - so existing code that uses the library should continue to work, while some new - symbols could have been added: new structures, functions, new values in existing - enums and bit flags, new structure members, but not new function parameters. -- Incrementing Major version means a release could break some backward compatibility. - -All changes between official releases are documented in file "CHANGELOG.md". - -\warning Backward compatibility is considered on the level of C++ source code, not binary linkage. -Adding new members to existing structures is treated as backward compatible if initializing -the new members to binary zero results in the old behavior. -You should always fully initialize all library structures to zeros and not rely on their -exact binary size. - -\section general_considerations_validation_layer_warnings Validation layer warnings - -When using this library, you can meet following types of warnings issued by -Vulkan validation layer. They don't necessarily indicate a bug, so you may need -to just ignore them. - -- *vkBindBufferMemory(): Binding memory to buffer 0xeb8e4 but vkGetBufferMemoryRequirements() has not been called on that buffer.* - - It happens when VK_KHR_dedicated_allocation extension is enabled. - `vkGetBufferMemoryRequirements2KHR` function is used instead, while validation layer seems to be unaware of it. -- *Mapping an image with layout VK_IMAGE_LAYOUT_DEPTH_STENCIL_ATTACHMENT_OPTIMAL can result in undefined behavior if this memory is used by the device. Only GENERAL or PREINITIALIZED should be used.* - - It happens when you map a buffer or image, because the library maps entire - `VkDeviceMemory` block, where different types of images and buffers may end - up together, especially on GPUs with unified memory like Intel. -- *Non-linear image 0xebc91 is aliased with linear buffer 0xeb8e4 which may indicate a bug.* - - It may happen when you use [defragmentation](@ref defragmentation). - -\section general_considerations_allocation_algorithm Allocation algorithm - -The library uses following algorithm for allocation, in order: - --# Try to find free range of memory in existing blocks. --# If failed, try to create a new block of `VkDeviceMemory`, with preferred block size. --# If failed, try to create such block with size / 2, size / 4, size / 8. --# If failed, try to allocate separate `VkDeviceMemory` for this allocation, - just like when you use #VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT. --# If failed, choose other memory type that meets the requirements specified in - VmaAllocationCreateInfo and go to point 1. --# If failed, return `VK_ERROR_OUT_OF_DEVICE_MEMORY`. - -\section general_considerations_features_not_supported Features not supported - -Features deliberately excluded from the scope of this library: - --# **Data transfer.** Uploading (streaming) and downloading data of buffers and images - between CPU and GPU memory and related synchronization is responsibility of the user. - Defining some "texture" object that would automatically stream its data from a - staging copy in CPU memory to GPU memory would rather be a feature of another, - higher-level library implemented on top of VMA. - VMA doesn't record any commands to a `VkCommandBuffer`. It just allocates memory. --# **Recreation of buffers and images.** Although the library has functions for - buffer and image creation: vmaCreateBuffer(), vmaCreateImage(), you need to - recreate these objects yourself after defragmentation. That is because the big - structures `VkBufferCreateInfo`, `VkImageCreateInfo` are not stored in - #VmaAllocation object. --# **Handling CPU memory allocation failures.** When dynamically creating small C++ - objects in CPU memory (not Vulkan memory), allocation failures are not checked - and handled gracefully, because that would complicate code significantly and - is usually not needed in desktop PC applications anyway. - Success of an allocation is just checked with an assert. --# **Code free of any compiler warnings.** Maintaining the library to compile and - work correctly on so many different platforms is hard enough. Being free of - any warnings, on any version of any compiler, is simply not feasible. - There are many preprocessor macros that make some variables unused, function parameters unreferenced, - or conditional expressions constant in some configurations. - The code of this library should not be bigger or more complicated just to silence these warnings. - It is recommended to disable such warnings instead. --# This is a C++ library with C interface. **Bindings or ports to any other programming languages** are welcome as external projects but - are not going to be included into this repository. -*/ diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index b7365e5d13153..75448f6edf83b 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -19,29 +19,6 @@ #endif #include -#define VMA_IMPLEMENTATION -#if UINTPTR_MAX == 0xFFFFFFFF - #define VMA_SYSTEM_MEM_ALIGN 4 -#else - #define VMA_SYSTEM_MEM_ALIGN 16 -#endif -#if defined(_MSC_VER) || defined(__MINGW32__) -#define VMA_SYSTEM_ALIGNED_MALLOC(size, alignment) _aligned_malloc(size, alignment) -#define VMA_SYSTEM_ALIGNED_FREE(ptr) _aligned_free(ptr) -#else -inline static void* ggml_aligned_malloc(size_t size, size_t alignment) { - void* aligned_memory = NULL; - int result = posix_memalign(&aligned_memory, alignment >= 8 ? alignment : 8, size); - if (result != 0) { - // Handle allocation failure - return NULL; - } - return aligned_memory; -} -#define VMA_SYSTEM_ALIGNED_MALLOC(size, alignment) ggml_aligned_malloc(size, alignment) -#define VMA_SYSTEM_ALIGNED_FREE(ptr) free(ptr) -#endif -#include "external/vk_mem_alloc.h" #include #include @@ -65,8 +42,9 @@ inline static void* ggml_aligned_malloc(size_t size, size_t alignment) { struct vk_buffer { vk::Buffer buffer; - VmaAllocation allocation; - VmaAllocationInfo info; + vk::DeviceMemory device_memory; + vk::MemoryPropertyFlags memory_property_flags; + void * ptr; size_t size = 0; // Staging buffers vk_buffer * sb_write; @@ -132,17 +110,14 @@ vk::Device vk_device; uint32_t vk_device_vendor_id; vk_queue vk_compute_queue; vk_queue vk_transfer_queues[VK_TRANSFER_QUEUE_COUNT]; -VmaAllocator vk_allocator; vk_pipeline vk_pipeline_matmul_f32_l, vk_pipeline_matmul_f32_m, vk_pipeline_matmul_f32_s, vk_pipeline_matmul_f16_l, vk_pipeline_matmul_f16_m, vk_pipeline_matmul_f16_s; vk_pipeline vk_pipeline_matmul_f32_aligned_l, vk_pipeline_matmul_f32_aligned_m, vk_pipeline_matmul_f32_aligned_s, vk_pipeline_matmul_f16_aligned_l, vk_pipeline_matmul_f16_aligned_m, vk_pipeline_matmul_f16_aligned_s; vk_pipeline vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; -VmaAllocation vk_buffer_qa_alloc, vk_buffer_a_alloc, vk_buffer_b_alloc, vk_buffer_c_alloc; -vk::Buffer vk_buffer_qa, vk_buffer_a, vk_buffer_b, vk_buffer_c; bool vk_fp16_support = false; -static std::vector> vk_buf_list; +static std::vector> vk_pinned_memory; static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { #ifdef VK_DEBUG @@ -411,9 +386,9 @@ static void ggml_vk_queue_cleanup(vk_queue& q) { q.cmd_buffer_idx = 0; } -static vk_buffer ggml_vk_create_buffer(size_t size, VmaAllocationCreateFlags alloc_flags, VmaMemoryUsage vma_usage, VkMemoryPropertyFlags req_flags = 0) { +static vk_buffer ggml_vk_create_buffer(size_t size, vk::MemoryPropertyFlags req_flags) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_create_buffer(" << size << ")" << std::endl; + std::cerr << "ggml_vk_create_buffer(" << size << ", " << to_string(req_flags) << ")" << std::endl; #endif vk_buffer buf; @@ -427,19 +402,31 @@ static vk_buffer ggml_vk_create_buffer(size_t size, VmaAllocationCreateFlags all nullptr, }; - VmaAllocationCreateInfo allocation_info = {}; - allocation_info.requiredFlags = req_flags; - allocation_info.flags = alloc_flags; - allocation_info.usage = vma_usage; - - PROFILE("ggml_vk_create_buffer", - vmaCreateBuffer(vk_allocator, - (VkBufferCreateInfo*)&buffer_create_info, - &allocation_info, - (VkBuffer*)&buf.buffer, - &buf.allocation, - &buf.info); - ); + buf.buffer = vk_device.createBuffer(buffer_create_info); + + vk::MemoryRequirements mem_req = vk_device.getBufferMemoryRequirements(buf.buffer); + + vk::PhysicalDeviceMemoryProperties mem_props = vk_physical_device.getMemoryProperties(); + + uint32_t memory_type_index = uint32_t(~0); + + for (uint32_t i = 0; i < mem_props.memoryTypeCount; ++i) { + vk::MemoryType memory_type = mem_props.memoryTypes[i]; + if ((mem_req.memoryTypeBits & ((uint64_t)1 << i)) && (req_flags & memory_type.propertyFlags) == req_flags && mem_props.memoryHeaps[memory_type.heapIndex].size >= mem_req.size) { + memory_type_index = i; + break; + } + } + + buf.device_memory = vk_device.allocateMemory({ mem_req.size, memory_type_index }); + buf.memory_property_flags = req_flags; + buf.ptr = nullptr; + + if (req_flags & vk::MemoryPropertyFlagBits::eHostVisible) { + buf.ptr = vk_device.mapMemory(buf.device_memory, 0, VK_WHOLE_SIZE); + } + + vk_device.bindBufferMemory(buf.buffer, buf.device_memory, 0); buf.sb_write = nullptr; buf.sb_read = nullptr; @@ -490,21 +477,22 @@ static void ggml_vk_destroy_buffer(vk_buffer& buf) { std::cerr << "ggml_vk_destroy_buffer(" << buf.size << ")" << std::endl; #endif buf.size = 0; - PROFILE("ggml_vk_destroy_buffer", - vmaDestroyBuffer(vk_allocator, buf.buffer, buf.allocation); + vk_device.freeMemory(buf.device_memory); + vk_device.destroyBuffer(buf.buffer); // Cleanup staging buffers if (buf.sb_write != nullptr) { - vmaDestroyBuffer(vk_allocator, buf.sb_write->buffer, buf.sb_write->allocation); + vk_device.freeMemory(buf.sb_write->device_memory); + vk_device.destroyBuffer(buf.sb_write->buffer); delete buf.sb_write; buf.sb_write = nullptr; } if (buf.sb_read != nullptr) { - vmaDestroyBuffer(vk_allocator, buf.sb_read->buffer, buf.sb_read->allocation); + vk_device.freeMemory(buf.sb_read->device_memory); + vk_device.destroyBuffer(buf.sb_read->buffer); delete buf.sb_read; buf.sb_read = nullptr; } - ); } void ggml_vk_test_transfer(size_t ne); @@ -627,15 +615,6 @@ void ggml_vk_init(void) { device_create_info.setPNext(&device_features2); vk_device = vk_physical_device.createDevice(device_create_info); - // Allocator - VmaAllocatorCreateInfo allocator_info = {}; - allocator_info.vulkanApiVersion = VK_API_VERSION; - allocator_info.physicalDevice = vk_physical_device; - allocator_info.device = vk_device; - allocator_info.instance = vk_instance; - - vmaCreateAllocator(&allocator_info, &vk_allocator); - // Prepare matmul values auto warptile_l = { 128, 128, 128, 16, 64, 64, 2, 4, 4 }; auto warptile_m = { 128, 64, 64, 16, 32, 32, 2, 4, 2 }; @@ -756,11 +735,10 @@ struct scoped_spin_lock { static vk_buffer g_vk_buffer_pool[MAX_VK_BUFFERS]; static std::atomic_flag g_vk_pool_lock = ATOMIC_FLAG_INIT; -static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf, VmaAllocationCreateFlags alloc_flags) { +static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf, vk::MemoryPropertyFlags alloc_flags) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_pool_malloc(" << size << ")" << std::endl; + std::cerr << "ggml_vk_pool_malloc(" << size << ", " << buf << ", " << to_string(alloc_flags) << ")" << std::endl; #endif - PROFILE("ggml_vk_pool_malloc", scoped_spin_lock lock(g_vk_pool_lock); int best_i = -1; @@ -791,15 +769,13 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf, VmaAllocationCreate ggml_vk_destroy_buffer(b); } - *buf = ggml_vk_create_buffer(size, alloc_flags, VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE, 0); - ); + *buf = ggml_vk_create_buffer(size, vk::MemoryPropertyFlagBits::eDeviceLocal | alloc_flags); } static void ggml_vk_pool_free(vk_buffer& buffer) { #ifdef VK_DEBUG std::cerr << "ggml_vk_pool_free(" << buffer.size << ")" << std::endl; #endif - PROFILE("ggml_vk_pool_free", scoped_spin_lock lock(g_vk_pool_lock); for (int i = 0; i < MAX_VK_BUFFERS; ++i) { @@ -813,7 +789,6 @@ static void ggml_vk_pool_free(vk_buffer& buffer) { } fprintf(stderr, "WARNING: vk buffer pool full, increase MAX_VK_BUFFERS\n"); ggml_vk_destroy_buffer(buffer); - ); } void* ggml_vk_host_malloc(size_t size) { @@ -824,22 +799,20 @@ void* ggml_vk_host_malloc(size_t size) { return nullptr; } - vk_buffer buf = ggml_vk_create_buffer(size, VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_HOST, VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT | VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); + vk_buffer buf = ggml_vk_create_buffer(size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); - VkMemoryPropertyFlags mem_prop_flags; - vmaGetAllocationMemoryProperties(vk_allocator, buf.allocation, &mem_prop_flags); - - if(!(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT)) { + if(!(buf.memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible)) { fprintf(stderr, "WARNING: failed to allocate %.2f MB of pinned memory\n", size/1024.0/1024.0); buf.size = 0; - vmaDestroyBuffer(vk_allocator, buf.buffer, buf.allocation); + vk_device.freeMemory(buf.device_memory); + vk_device.destroyBuffer(buf.buffer); return nullptr; } - vk_buf_list.push_back(std::make_tuple(buf.info.pMappedData, size, buf)); + vk_pinned_memory.push_back(std::make_tuple(buf.ptr, size, buf)); - return buf.info.pMappedData; + return buf.ptr; } void ggml_vk_host_free(void* ptr) { @@ -848,11 +821,11 @@ void ggml_vk_host_free(void* ptr) { #endif vk_buffer* buf = nullptr; size_t index; - for (size_t i = 0; i < vk_buf_list.size(); i++) { - const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); - const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); + for (size_t i = 0; i < vk_pinned_memory.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(vk_pinned_memory[i]); + const uint8_t* endr = addr + std::get<1>(vk_pinned_memory[i]); if (ptr >= addr && ptr < endr) { - buf = &std::get<2>(vk_buf_list[i]); + buf = &std::get<2>(vk_pinned_memory[i]); index = i; break; } @@ -864,7 +837,7 @@ void ggml_vk_host_free(void* ptr) { ggml_vk_destroy_buffer(*buf); - vk_buf_list.erase(vk_buf_list.begin() + index); + vk_pinned_memory.erase(vk_pinned_memory.begin() + index); } static vk_submission ggml_vk_begin_submission(vk_queue& q) { @@ -914,22 +887,19 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; #endif - VkMemoryPropertyFlags mem_prop_flags; - vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); - // Buffer is already mapped - if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { + if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { std::cerr << "ggml_vulkan: buffer_write_async dst buffer is host_visible. Use synchronous write." << std::endl; GGML_ASSERT(false); } // Check if src is pinned memory vk_buffer* buf = nullptr; size_t buf_offset = 0; - for (size_t i = 0; i < vk_buf_list.size(); i++) { - const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); - const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); + for (size_t i = 0; i < vk_pinned_memory.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(vk_pinned_memory[i]); + const uint8_t* endr = addr + std::get<1>(vk_pinned_memory[i]); if (src >= addr && src < endr) { - buf = &std::get<2>(vk_buf_list[i]); + buf = &std::get<2>(vk_pinned_memory[i]); buf_offset = ((const uint8_t *)src) - addr; break; } @@ -964,13 +934,9 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, // Staging buffer required, malloc because of async transfer if (dst->sb_write == nullptr) { dst->sb_write = new vk_buffer; - *dst->sb_write = ggml_vk_create_buffer(dst->size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_HOST, 0); + *dst->sb_write = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); } - VkMemoryPropertyFlags mpf_staging; - vmaGetAllocationMemoryProperties(vk_allocator, dst->sb_write->allocation, &mpf_staging); - GGML_ASSERT(mpf_staging & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT); - VkBufferCopy buf_copy = { 0, offset, @@ -982,10 +948,10 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, s.buffer.end(); if (width == spitch) { - memcpy(dst->sb_write->info.pMappedData, src, width * height); + memcpy(dst->sb_write->ptr, src, width * height); } else { for (size_t i = 0; i < height; i++) { - memcpy((uint8_t *)dst->sb_write->info.pMappedData + offset + i * width, (const uint8_t *) src + i * spitch, width); + memcpy((uint8_t *)dst->sb_write->ptr + offset + i * width, (const uint8_t *) src + i * spitch, width); } } @@ -996,15 +962,12 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d(" << width << ", " << height << ")" << std::endl; #endif - VkMemoryPropertyFlags mem_prop_flags; - vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); - // Buffer is already mapped - if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { - GGML_ASSERT(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); + if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { + GGML_ASSERT(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostCoherent); for (size_t i = 0; i < height; i++) { - memcpy((uint8_t *)dst->info.pMappedData + offset + i * width, (const uint8_t *) src + i * spitch, width); + memcpy((uint8_t *)dst->ptr + offset + i * width, (const uint8_t *) src + i * spitch, width); } } else { vk::Fence fence = vk_device.createFence({}); @@ -1022,22 +985,19 @@ static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async_zeropad(" << offset << ", " << spitch << ", " << width << ", " << height << ", " << align << ")" << std::endl; #endif - VkMemoryPropertyFlags mem_prop_flags; - vmaGetAllocationMemoryProperties(vk_allocator, dst->allocation, &mem_prop_flags); - // Buffer is already mapped - if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { + if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { std::cerr << "ggml_vulkan: buffer_write_2d_async_zeropad dst buffer is host_visible. Use synchronous write." << std::endl; GGML_ASSERT(false); } // Check if src is pinned memory vk_buffer* buf = nullptr; size_t buf_offset = 0; - for (size_t i = 0; i < vk_buf_list.size(); i++) { - const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); - const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); + for (size_t i = 0; i < vk_pinned_memory.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(vk_pinned_memory[i]); + const uint8_t* endr = addr + std::get<1>(vk_pinned_memory[i]); if (src >= addr && src < endr) { - buf = &std::get<2>(vk_buf_list[i]); + buf = &std::get<2>(vk_pinned_memory[i]); buf_offset = ((const uint8_t *)src) - addr; break; } @@ -1087,15 +1047,11 @@ static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t // Staging buffer required, malloc because of async transfer if (dst->sb_write == nullptr) { dst->sb_write = new vk_buffer; - *dst->sb_write = ggml_vk_create_buffer(dst->size, VMA_ALLOCATION_CREATE_HOST_ACCESS_SEQUENTIAL_WRITE_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_HOST, 0); + *dst->sb_write = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); } vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); - VkMemoryPropertyFlags mpf_staging; - vmaGetAllocationMemoryProperties(vk_allocator, dst->sb_write->allocation, &mpf_staging); - GGML_ASSERT(mpf_staging & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT); - vk::BufferCopy buf_copy = { 0, offset, @@ -1109,11 +1065,11 @@ static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t const size_t zeropad = padded_width - width; if (width == padded_width && width == spitch) { - memcpy(dst->sb_write->info.pMappedData, src, width * height); + memcpy(dst->sb_write->ptr, src, width * height); } else { for (size_t i = 0; i < height; i++) { - memcpy((uint8_t *)dst->sb_write->info.pMappedData + i * padded_width, (const uint8_t *) src + i * spitch, width); - memset((uint8_t *)dst->sb_write->info.pMappedData + i * padded_width + width, 0, zeropad); + memcpy((uint8_t *)dst->sb_write->ptr + i * padded_width, (const uint8_t *) src + i * spitch, width); + memset((uint8_t *)dst->sb_write->ptr + i * padded_width + width, 0, zeropad); } } @@ -1141,11 +1097,11 @@ static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void // Check if dst is pinned memory vk_buffer* buf = nullptr; size_t buf_offset = 0; - for (size_t i = 0; i < vk_buf_list.size(); i++) { - const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); - const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); + for (size_t i = 0; i < vk_pinned_memory.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(vk_pinned_memory[i]); + const uint8_t* endr = addr + std::get<1>(vk_pinned_memory[i]); if (dst >= addr && dst < endr) { - buf = &std::get<2>(vk_buf_list[i]); + buf = &std::get<2>(vk_pinned_memory[i]); buf_offset = ((const uint8_t *)dst) - addr; break; } @@ -1174,22 +1130,19 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_read(" << size << ")" << std::endl; #endif - VkMemoryPropertyFlags mem_prop_flags; - vmaGetAllocationMemoryProperties(vk_allocator, src->allocation, &mem_prop_flags); + if(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { + GGML_ASSERT(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostCoherent); - if(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT) { - GGML_ASSERT(mem_prop_flags & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); - - memcpy(dst, (uint8_t *) src->info.pMappedData + offset, size); + memcpy(dst, (uint8_t *) src->ptr + offset, size); } else { // Check if dst is pinned memory vk_buffer* buf = nullptr; size_t buf_offset = 0; - for (size_t i = 0; i < vk_buf_list.size(); i++) { - const uint8_t* addr = (const uint8_t*) std::get<0>(vk_buf_list[i]); - const uint8_t* endr = addr + std::get<1>(vk_buf_list[i]); + for (size_t i = 0; i < vk_pinned_memory.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(vk_pinned_memory[i]); + const uint8_t* endr = addr + std::get<1>(vk_pinned_memory[i]); if (dst >= addr && dst < endr) { - buf = &std::get<2>(vk_buf_list[i]); + buf = &std::get<2>(vk_pinned_memory[i]); buf_offset = ((const uint8_t *)dst) - addr; break; } @@ -1215,13 +1168,9 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ if (src->sb_read == nullptr) { src->sb_read = new vk_buffer; - *src->sb_read = ggml_vk_create_buffer(src->size, VMA_ALLOCATION_CREATE_HOST_ACCESS_RANDOM_BIT | VMA_ALLOCATION_CREATE_MAPPED_BIT, VMA_MEMORY_USAGE_AUTO, 0); + *src->sb_read = ggml_vk_create_buffer(src->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); } - VkMemoryPropertyFlags mpf_staging; - vmaGetAllocationMemoryProperties(vk_allocator, src->sb_read->allocation, &mpf_staging); - GGML_ASSERT(mpf_staging & VK_MEMORY_PROPERTY_HOST_COHERENT_BIT); - VkBufferCopy buf_copy = { offset, // srcOffset 0, // dstOffset, @@ -1245,7 +1194,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ q.queue.submit({ submit_info }, fence); vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read staging waitForFences"); vk_device.destroyFence(fence); - memcpy(dst, src->sb_read->info.pMappedData, size); + memcpy(dst, src->sb_read->ptr, size); } } @@ -1273,7 +1222,7 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const st } GGML_ASSERT(false); // TODO: also needs handling of staging buffers - uint8_t* dst_ptr = (uint8_t*) dst->info.pMappedData; + uint8_t* dst_ptr = (uint8_t*) dst->ptr; const uint8_t* xc = (const uint8_t*)x; for (uint64_t i1 = 0; i1 < ne1; i1++) { for (uint64_t i0 = 0; i0 < ne0; i0++) { @@ -1360,6 +1309,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; #endif + const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; const int64_t ne02 = src0->ne[2]; const int64_t ne03 = src0->ne[3]; @@ -1370,6 +1320,8 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; + const int x_ne = ne01 * ne00; + const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); @@ -1384,10 +1336,10 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr if (src0->backend == GGML_BACKEND_GPU) { d_X = *(vk_buffer*) src0->data; } else { - ggml_vk_pool_malloc(sizeof(float) * kpad * ne01, &d_X, 0); + ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, {}); } - ggml_vk_pool_malloc(sizeof(float) * kpad * ne11, &d_Y, 0); - ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); + ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, {}); + ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); std::vector compute_seqs; std::vector transfer_0_seqs; @@ -1477,6 +1429,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr GGML_ASSERT(src0->type == GGML_TYPE_F16); GGML_ASSERT(src1->type == GGML_TYPE_F32); + const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; const int64_t ne02 = src0->ne[2]; const int64_t ne03 = src0->ne[3]; @@ -1492,6 +1445,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; + const int x_ne = ne01 * ne00; const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; @@ -1507,10 +1461,10 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr if (src0->backend == GGML_BACKEND_GPU) { d_X = *(vk_buffer*) src0->data; } else { - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * ne01, &d_X, 0); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, {}); } - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * ne11, &d_Y, 0); - ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, {}); + ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); bool src1_cont_rows = nb10 == sizeof(float); bool src1_cont_cols = (size_t)nb11 == ne11*sizeof(float); @@ -1652,13 +1606,13 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * vk_buffer d_Y; vk_buffer d_D; if (!mul_mat_vec) { - ggml_vk_pool_malloc(sizeof(float) * kpad * ne01, &d_X, 0); + ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, {}); } - ggml_vk_pool_malloc(sizeof(float) * kpad * ne11, &d_Y, 0); - ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); + ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, {}); + ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); vk_buffer d_Q; if (src0->backend == GGML_BACKEND_CPU) { - ggml_vk_pool_malloc(q_sz, &d_Q, 0); + ggml_vk_pool_malloc(q_sz, &d_Q, {}); } vk_pipeline* to_fp32_vk = ggml_get_to_fp32_vk(type); @@ -1851,8 +1805,11 @@ size_t ggml_vk_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct g #ifdef VK_CHK_KERNEL void ggml_vk_test_transfer(size_t ne) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_test_transfer(" << ne << ")" << std::endl; +#endif // Check transfers are correct - vk_buffer buffer = ggml_vk_create_buffer(sizeof(float) * ne, VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT, VMA_MEMORY_USAGE_AUTO_PREFER_DEVICE, 0); + vk_buffer buffer = ggml_vk_create_buffer(sizeof(float) * ne, vk::MemoryPropertyFlagBits::eDeviceLocal); float* x = (float *) malloc(sizeof(float) * ne); float* y = (float *) malloc(sizeof(float) * ne); @@ -1894,6 +1851,9 @@ void ggml_vk_test_transfer(size_t ne) { free(y); } void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_test_matmul_f32(" << m << ", " << n << ", " << k << ", " << num_it << ", " << split_k << ", " << shader_size << ")" << std::endl; +#endif const size_t x_ne = m * k; const size_t y_ne = k * n; const size_t d_ne = m * n; @@ -1920,9 +1880,9 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(float) * kpad * m, &d_X, 0); - ggml_vk_pool_malloc(sizeof(float) * kpad * n, &d_Y, 0); - ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); + ggml_vk_pool_malloc(sizeof(float) * kpad * m, &d_X, {}); + ggml_vk_pool_malloc(sizeof(float) * kpad * n, &d_Y, {}); + ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); float* x = (float *) malloc(sizeof(float) * x_ne); float* y = (float *) malloc(sizeof(float) * y_ne); @@ -1992,6 +1952,9 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp } void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_test_matmul_f16(" << m << ", " << n << ", " << k << ", " << num_it << ", " << split_k << ", " << shader_size << ")" << std::endl; +#endif if (!vk_fp16_support) { return; } @@ -2021,9 +1984,9 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * m, &d_X, 0); - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * n, &d_Y, 0); - ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, 0); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * m, &d_X, {}); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * n, &d_Y, {}); + ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * x_ne); ggml_fp16_t* y = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * y_ne); @@ -2101,14 +2064,17 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp } void ggml_vk_test_buffer_write_zeropad(size_t m, size_t k, size_t align) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_test_buffer_write_zeropad(" << m << ", " << k << ", " << align << ")" << std::endl; +#endif std::vector seq; const size_t kpad = ggml_vk_align_size(k, align); vk_buffer d_X; - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * m, &d_X, 0); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * m, &d_X, {}); vk_buffer d_X2; - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * k * m, &d_X2, 0); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * k * m, &d_X2, {}); ggml_fp16_t* x = (ggml_fp16_t *) ggml_vk_host_malloc(sizeof(ggml_fp16_t) * m * k); From 754ea680a6744fa537bd59d69b07528cb867cc06 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 22 Jul 2023 10:16:18 +0200 Subject: [PATCH 048/142] Basic offloading support with mul_f32 and dmmv for q4_0 --- Makefile | 2 + ggml-vulkan.cpp | 283 +++++++++++++++++++++-- ggml-vulkan.h | 5 +- ggml.c | 9 +- llama.cpp | 25 +- llama.h | 2 +- vk_shaders/dequant_mul_mat_vec_q4_0.glsl | 73 ++++++ vk_shaders/mul_f32.glsl | 30 +++ 8 files changed, 399 insertions(+), 30 deletions(-) create mode 100644 vk_shaders/dequant_mul_mat_vec_q4_0.glsl create mode 100644 vk_shaders/mul_f32.glsl diff --git a/Makefile b/Makefile index 3519d52ad8b0a..2c80ab24ff86e 100644 --- a/Makefile +++ b/Makefile @@ -239,6 +239,8 @@ ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_split_k_reduce.glsl -o vk_shaders/matmul_split_k_reduce.spv glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/f16_to_f32.glsl -o vk_shaders/f16_to_f32.spv glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_q4_0.glsl -o vk_shaders/dequant_q4_0.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_q4_0.glsl -o vk_shaders/dequant_mul_mat_vec_q4_0.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/mul_f32.glsl -o vk_shaders/mul_f32.spv endif ifneq ($(filter aarch64%,$(UNAME_M)),) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 75448f6edf83b..ad64c8f8a3f4f 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -113,6 +113,8 @@ vk_queue vk_transfer_queues[VK_TRANSFER_QUEUE_COUNT]; vk_pipeline vk_pipeline_matmul_f32_l, vk_pipeline_matmul_f32_m, vk_pipeline_matmul_f32_s, vk_pipeline_matmul_f16_l, vk_pipeline_matmul_f16_m, vk_pipeline_matmul_f16_s; vk_pipeline vk_pipeline_matmul_f32_aligned_l, vk_pipeline_matmul_f32_aligned_m, vk_pipeline_matmul_f32_aligned_s, vk_pipeline_matmul_f16_aligned_l, vk_pipeline_matmul_f16_aligned_m, vk_pipeline_matmul_f16_aligned_s; vk_pipeline vk_pipeline_matmul_split_k_reduce; +vk_pipeline vk_pipeline_dequant_mul_mat_vec_q4_0; +vk_pipeline vk_pipeline_mul_f32; vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; bool vk_fp16_support = false; @@ -260,7 +262,7 @@ static vk_sequence ggml_vk_create_sequence_1(vk_queue& q, std::vector& sequences, vk::Fence fence) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_submit(" << q.queue_family_index << ", " << sequences.size() << ")" << std::endl; + std::cerr << "ggml_vk_submit(" << q.queue_family_index << " (" << q.queue << "), " << sequences.size() << ")" << std::endl; #endif if (sequences.empty()) { return; @@ -640,6 +642,10 @@ void ggml_vk_init(void) { vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_q4_0.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + + vk_pipeline_mul_f32 = ggml_vk_create_pipeline("vk_shaders/mul_f32.spv", "main", 3, 8 * sizeof(int), {32, 32, 1}, {}, 1); + // Queues vk_compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader }); for (int i = 0; i < VK_TRANSFER_QUEUE_COUNT; i++) { @@ -656,6 +662,7 @@ void ggml_vk_init(void) { ggml_vk_test_transfer(1024 * 1024 * m); } const std::vector vals { + 4096, 1, 11008, 128, 110, 622, 511, 511, 127, 511, 511, 7, @@ -693,7 +700,7 @@ void ggml_vk_init(void) { #endif } -static vk_pipeline* ggml_get_to_fp32_vk(ggml_type type) { +static vk_pipeline* ggml_vk_get_to_fp32(ggml_type type) { #ifdef VK_DEBUG std::cerr << "ggml_vk_get_to_fp32_vk()" << std::endl; #endif @@ -715,6 +722,35 @@ static vk_pipeline* ggml_get_to_fp32_vk(ggml_type type) { } } +static vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type) { + switch (type) { + case GGML_TYPE_Q4_0: + return &vk_pipeline_dequant_mul_mat_vec_q4_0; + // case GGML_TYPE_Q4_1: + // return &dequantize_mul_mat_vec_q4_1_cl; + // case GGML_TYPE_Q5_0: + // return &dequantize_mul_mat_vec_q5_0_cl; + // case GGML_TYPE_Q5_1: + // return &dequantize_mul_mat_vec_q5_1_cl; + // case GGML_TYPE_Q8_0: + // return &dequantize_mul_mat_vec_q8_0_cl; + // case GGML_TYPE_F16: + // return &convert_mul_mat_vec_f16_cl; + // case GGML_TYPE_Q2_K: + // return &dequantize_mul_mat_vec_q2_K_cl; + // case GGML_TYPE_Q3_K: + // return &dequantize_mul_mat_vec_q3_K_cl; + // case GGML_TYPE_Q4_K: + // return &dequantize_mul_mat_vec_q4_K_cl; + // case GGML_TYPE_Q5_K: + // return &dequantize_mul_mat_vec_q5_K_cl; + // case GGML_TYPE_Q6_K: + // return &dequantize_mul_mat_vec_q6_K_cl; + default: + return nullptr; + } +} + // buffer pool for vulkan #define MAX_VK_BUFFERS 256 @@ -791,6 +827,16 @@ static void ggml_vk_pool_free(vk_buffer& buffer) { ggml_vk_destroy_buffer(buffer); } +void ggml_vk_free_data(const struct ggml_tensor* tensor) { + if (tensor->backend != GGML_BACKEND_GPU) { + return; + } + + vk_buffer& buf = *(vk_buffer *)tensor->data; + ggml_vk_destroy_buffer(buf); + free(tensor->data); +} + void* ggml_vk_host_malloc(size_t size) { #ifdef VK_DEBUG std::cerr << "ggml_vk_host_malloc(" << size << ")" << std::endl; @@ -848,7 +894,7 @@ static vk_submission ggml_vk_begin_submission(vk_queue& q) { return s; } -static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, std::vector buffers, size_t push_constant_size, const void* push_constants, std::array elements, vk_queue& q) { +static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, std::vector buffers, size_t push_constant_size, const void* push_constants, std::array elements) { uint32_t wg0 = CEIL_DIV(elements[0], pipeline.wg_denoms[0]); uint32_t wg1 = CEIL_DIV(elements[1], pipeline.wg_denoms[1]); uint32_t wg2 = CEIL_DIV(elements[2], pipeline.wg_denoms[2]); @@ -1287,17 +1333,17 @@ static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_buffer& a, vk_buffer ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); if (split_k == 1) { const std::vector pc = { m, n, k, stride_a, stride_b, stride_d, k }; - ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc.size() * sizeof(int), pc.data(), { (uint32_t)m, (uint32_t)n, 1 }, q); + ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc.size() * sizeof(int), pc.data(), { (uint32_t)m, (uint32_t)n, 1 }); ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); return { s }; } // Synchronize the two submissions const std::vector pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(stride_a, split_k) }; - ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc1.size() * sizeof(int), pc1.data(), { (uint32_t)m * split_k, (uint32_t)n, 1 }, q); + ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc1.size() * sizeof(int), pc1.data(), { (uint32_t)m * split_k, (uint32_t)n, 1 }); ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, true); const std::vector pc2 = { m, n, split_k }; - ggml_vk_dispatch_pipeline(s, vk_pipeline_matmul_split_k_reduce, { d }, pc2.size() * sizeof(int), pc2.data(), { (uint32_t)m, (uint32_t)n, 1 }, q); + ggml_vk_dispatch_pipeline(s, vk_pipeline_matmul_split_k_reduce, { d }, pc2.size() * sizeof(int), pc2.data(), { (uint32_t)m, (uint32_t)n, 1 }); ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); return { s }; @@ -1455,6 +1501,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, ne01, ne11, ne10 == kpad); + // TODO use larger buffers to parallelize execution vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; @@ -1476,7 +1523,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr vk::Semaphore s_it_x; vk::Semaphore s_it_y; - const bool load_x = src1->backend != GGML_BACKEND_GPU; + const bool load_x = src0->backend != GGML_BACKEND_GPU; ggml_fp16_t * fp16_staging = (ggml_fp16_t *) ggml_vk_host_malloc(sizeof(ggml_fp16_t) * (ne11 * ne10) * (ne02 * ne03)); @@ -1589,7 +1636,7 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; const ggml_type type = src0->type; - const bool mul_mat_vec = false; // ne11 == 1; + const bool mul_mat_vec = ne11 == 1; const int x_ne = ne01 * ne00; const int y_ne = ne11 * ne10; @@ -1615,8 +1662,8 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * ggml_vk_pool_malloc(q_sz, &d_Q, {}); } - vk_pipeline* to_fp32_vk = ggml_get_to_fp32_vk(type); - // vk_pipeline* dmmv = ggml_get_dequantize_mul_mat_vec_vk(type); + vk_pipeline* to_fp32_vk = ggml_vk_get_to_fp32(type); + vk_pipeline* dmmv = ggml_vk_get_dequantize_mul_mat_vec(type); GGML_ASSERT(to_fp32_vk != nullptr); std::vector compute_seqs; @@ -1634,10 +1681,9 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * const bool last = i03 == ne03 - 1 && i02 == ne02 - 1; vk::Semaphore s_x; - vk::Semaphore s_y = ggml_vk_create_semaphore(vk_compute_queue); - vk::Semaphore s_q = ggml_vk_create_semaphore(vk_compute_queue); + vk::Semaphore s_y = ggml_vk_create_semaphore(vk_transfer_queues[0]); + vk::Semaphore s_q = ggml_vk_create_semaphore(vk_transfer_queues[0]); - std::vector semaphores = { s_q, s_y }; std::vector q_semaphores; vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); @@ -1669,11 +1715,6 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * } if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel - GGML_ASSERT(false); - // // copy src1 to device - // events.emplace_back(); - // VK_CHECK(ggml_vk_h2d_tensor_2d(queue, d_Y, 0, src1, i03, i02, events.data() + ev_idx++)); - // // compute // const size_t global = ne01 * VK_DMMV_BLOCK_SIZE; // const size_t local = VK_DMMV_BLOCK_SIZE; @@ -1685,6 +1726,25 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // VK_CHECK(vkSetKernelArg(*dmmv, 3, sizeof(vk_buffer), &d_D)); // VK_CHECK(vkSetKernelArg(*dmmv, 4, sizeof(vk_int), &ncols)); // VK_CHECK(vkEnqueueNDRangeKernel(queue, *dmmv, 1, NULL, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++)); + q_semaphores.push_back(s_y); + const int ncols = ne00; + vk_submission s = ggml_vk_begin_submission(vk_compute_queue); + ggml_vk_sync_buffers(s.buffer, { d_Q, d_Y }, vk_compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { d_D }, vk_compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *dmmv, {d_Q, d_Y, d_D}, sizeof(int), &ncols, { (uint32_t)ne01, 1, 1}); + if (!last) { + if (load_x) { + s_it_x = ggml_vk_create_semaphore(vk_compute_queue); + s_it_y = ggml_vk_create_semaphore(vk_compute_queue); + ggml_vk_end_submission(s, std::move(q_semaphores), { s_mm, s_it_x, s_it_y }); + } else { + s_it_y = ggml_vk_create_semaphore(vk_compute_queue); + ggml_vk_end_submission(s, std::move(q_semaphores), { s_mm, s_it_y }); + } + } else { + ggml_vk_end_submission(s, std::move(q_semaphores), { s_mm }); + } + compute_seqs.push_back({ s }); } else { // general dequantization kernel + VK matrix matrix multiplication // convert src0 to fp32 on device @@ -1692,7 +1752,7 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; ggml_vk_sync_buffers(s.buffer, { d_Q }, vk_compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); ggml_vk_sync_buffers(s.buffer, { d_X }, vk_compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *to_fp32_vk, {d_Q, d_X}, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}, vk_compute_queue); + ggml_vk_dispatch_pipeline(s, *to_fp32_vk, {d_Q, d_X}, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); if (load_x && !last) { s_it_x = ggml_vk_create_semaphore(vk_compute_queue); ggml_vk_end_submission(s, std::move(q_semaphores), { s_q, s_it_x }); @@ -1704,9 +1764,9 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // compute if (!last) { s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, { s_q, s_y }, { s_mm, s_it_y })); } else { - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, { s_q, s_y }, { s_mm })); } } @@ -1755,6 +1815,9 @@ bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tens } bool ggml_vk_mul_mat_use_f16(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * /* dst */) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_mul_mat_use_f16(" << src0 << ", " << src1 << ")" << std::endl; +#endif // If device doesn't support FP16 if (!vk_fp16_support) { return false; @@ -1775,6 +1838,9 @@ bool ggml_vk_mul_mat_use_f16(const struct ggml_tensor * src0, const struct ggml_ } void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_mul_mat(" << src0 << ", " << src1 << ", " << dst << ")" << std::endl; +#endif GGML_ASSERT(ggml_vk_can_mul_mat(src0, src1, dst)); if (src0->type == GGML_TYPE_F32) { @@ -1797,12 +1863,187 @@ void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * } size_t ggml_vk_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_mul_mat_get_wsize(" << src0 << ", " << src1 << ", " << dst << ")" << std::endl; +#endif if (ggml_vk_mul_mat_use_f16(src0, src1, dst)) { return ggml_nelements(src1) * sizeof(ggml_fp16_t); } return 0; } +static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_mul_f32((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; + std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; + std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; +#endif + GGML_ASSERT(src1->backend == GGML_BACKEND_GPU); + const int64_t ne00 = src0->ne[0]; + const int64_t ne01 = src0->ne[1]; + const int64_t ne02 = src0->ne[2]; + const int64_t ne03 = src0->ne[3]; + const int64_t ne0 = ne00 * ne01 * ne02 * ne03; + const int64_t ne10 = src1->ne[0]; + const int64_t ne11 = src1->ne[1]; + const int64_t ne12 = src1->ne[2]; + const int64_t ne13 = src1->ne[3]; + const int64_t nb10 = src1->nb[0]; + const int nb2 = dst->nb[2]; + const int nb3 = dst->nb[3]; + + vk_buffer d_X; + vk_buffer d_Y = *(vk_buffer*) src1->data; + vk_buffer d_D; + ggml_vk_pool_malloc(sizeof(float) * ne0, &d_X, {}); + ggml_vk_pool_malloc(sizeof(float) * ne0, &d_D, {}); + + std::vector compute_seqs; + std::vector transfer_0_seqs; + std::vector transfer_1_seqs; + + vk::Semaphore s_it_x; + + for (int64_t i03 = 0; i03 < ne03; i03++) { + for (int64_t i02 = 0; i02 < ne02; i02++) { + const bool first = i03 == 0 && i02 == 0; + const bool last = i03 == ne03 - 1 && i02 == ne02 - 1; + + vk::Semaphore s_x = ggml_vk_create_semaphore(vk_compute_queue); + vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); + // copy src0 to device + if (first) { + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); + } else { + // Wait for previous matmul to be done before writing to the input buffers again + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); + } + + ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + + if (nb10 == sizeof(float)) { + // Contiguous, avoid overhead from queueing many kernel runs + const int64_t i13 = i03%ne13; + const int64_t i12 = i02%ne12; + const int i1 = i13*ne12*ne11 + i12*ne11; + + // cl_int x_offset = 0; + // cl_int y_offset = i1*ne10; + // cl_int d_offset = 0; + + // size_t global = ne00 * ne01; + // cl_int ky = ne10; + // CL_CHECK(clSetKernelArg(mul_f32_cl, 0, sizeof(cl_mem), &d_X)); + // CL_CHECK(clSetKernelArg(mul_f32_cl, 1, sizeof(cl_int), &x_offset)); + // CL_CHECK(clSetKernelArg(mul_f32_cl, 2, sizeof(cl_mem), &d_Y)); + // CL_CHECK(clSetKernelArg(mul_f32_cl, 3, sizeof(cl_int), &y_offset)); + // CL_CHECK(clSetKernelArg(mul_f32_cl, 4, sizeof(cl_mem), &d_D)); + // CL_CHECK(clSetKernelArg(mul_f32_cl, 5, sizeof(cl_int), &d_offset)); + // CL_CHECK(clSetKernelArg(mul_f32_cl, 6, sizeof(cl_int), &ky)); + // CL_CHECK(clEnqueueNDRangeKernel(queue, mul_f32_cl, 1, NULL, &global, NULL, 1, &ev, NULL)); + const std::vector pc = { (int)ne00, (int)ne01, (int)ne00, (int)ne00, (int)ne00, 0, (int)(i1 * ne10), 0 }; + vk_submission s = ggml_vk_begin_submission(vk_compute_queue); + ggml_vk_sync_buffers(s.buffer, { d_X, d_Y }, vk_compute_queue, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { d_D }, vk_compute_queue, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_f32, {d_X, d_Y, d_D}, sizeof(int) * pc.size(), pc.data(), { (uint32_t)ne00, (uint32_t)ne01, 1}); + if (!last) { + s_it_x = ggml_vk_create_semaphore(vk_compute_queue); + ggml_vk_end_submission(s, { s_x }, { s_mm, s_it_x }); + } else { + ggml_vk_end_submission(s, { s_x }, { s_mm }); + } + compute_seqs.push_back({ s }); + } else { + GGML_ASSERT(false); + for (int64_t i01 = 0; i01 < ne01; i01++) { + const int64_t i13 = i03%ne13; + const int64_t i12 = i02%ne12; + const int64_t i11 = i01%ne11; + const int i1 = i13*ne12*ne11 + i12*ne11 + i11; + + // cl_int x_offset = i01*ne00; + // cl_int y_offset = i1*ne10; + // cl_int d_offset = i01*ne00; + + // // compute + // size_t global = ne00; + // cl_int ky = ne10; + // CL_CHECK(clSetKernelArg(mul_f32_cl, 0, sizeof(cl_mem), &d_X)); + // CL_CHECK(clSetKernelArg(mul_f32_cl, 1, sizeof(cl_int), &x_offset)); + // CL_CHECK(clSetKernelArg(mul_f32_cl, 2, sizeof(cl_mem), &d_Y)); + // CL_CHECK(clSetKernelArg(mul_f32_cl, 3, sizeof(cl_int), &y_offset)); + // CL_CHECK(clSetKernelArg(mul_f32_cl, 4, sizeof(cl_mem), &d_D)); + // CL_CHECK(clSetKernelArg(mul_f32_cl, 5, sizeof(cl_int), &d_offset)); + // CL_CHECK(clSetKernelArg(mul_f32_cl, 6, sizeof(cl_int), &ky)); + // CL_CHECK(clEnqueueNDRangeKernel(queue, mul_f32_cl, 1, NULL, &global, NULL, 1, &ev, NULL)); + const std::vector pc = { (int)ne00, 1, (int)ne00, (int)ne00, (int)ne00, (int)(i01 * ne00), (int)(i1 * ne10), (int)(i01*ne00) }; + vk_submission s = ggml_vk_begin_submission(vk_compute_queue); + ggml_vk_sync_buffers(s.buffer, { d_X, d_Y }, vk_compute_queue, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { d_D }, vk_compute_queue, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_f32, {d_X, d_Y, d_D}, sizeof(int) * pc.size(), pc.data(), { (uint32_t)ne00, 1, 1}); + if (!last) { + s_it_x = ggml_vk_create_semaphore(vk_compute_queue); + ggml_vk_end_submission(s, { s_x }, { s_mm, s_it_x }); + } else { + ggml_vk_end_submission(s, { s_x }, { s_mm }); + } + compute_seqs.push_back({ s }); + } + } + + // copy dst to host + float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + transfer_1_seqs.push_back(ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * ne00 * ne01, vk_transfer_queues[1], { s_mm }, {})); + + ggml_vk_submit(vk_compute_queue, compute_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + } + } + + // cleanup waits for the queue to be done + ggml_vk_queue_cleanup(vk_transfer_queues[0]); + ggml_vk_queue_cleanup(vk_transfer_queues[1]); + ggml_vk_queue_cleanup(vk_compute_queue); + + ggml_vk_pool_free(d_X); + ggml_vk_pool_free(d_D); +} + +void ggml_vk_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { + GGML_ASSERT(src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32); + ggml_vk_mul_f32(src0, src1, dst); +} + +void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_transform_tensor(" << data << ", " << tensor << ")" << std::endl; +#endif + const int64_t ne0 = tensor->ne[0]; + const int64_t ne1 = tensor->ne[1]; + const int64_t ne2 = tensor->ne[2]; + const int64_t ne3 = tensor->ne[3]; + + GGML_ASSERT(ne2 == 1 && ne3 == 1); + + const ggml_type type = tensor->type; + const size_t q_sz = ggml_type_size(type) * ne0 * ne1 * ne2 * ne3 / ggml_blck_size(type); + + vk_buffer dst = ggml_vk_create_buffer(q_sz, vk::MemoryPropertyFlagBits::eDeviceLocal); + + std::vector seqs; + + tensor->data = data; + // copy tensor to device + seqs.push_back(ggml_vk_h2d_tensor_2d(&dst, 0, tensor, 0, 0, vk_transfer_queues[0], {}, {})); + + ggml_vk_submit(vk_transfer_queues[0], seqs, VK_NULL_HANDLE); + vk_transfer_queues[0].queue.waitIdle(); + + tensor->data = malloc(sizeof(vk_buffer)); + *(vk_buffer*) tensor->data = dst; + GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); +} + #ifdef VK_CHK_KERNEL void ggml_vk_test_transfer(size_t ne) { #ifdef VK_DEBUG diff --git a/ggml-vulkan.h b/ggml-vulkan.h index ece0ec7dfbb57..e5880f44818a5 100644 --- a/ggml-vulkan.h +++ b/ggml-vulkan.h @@ -16,10 +16,9 @@ void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor void * ggml_vk_host_malloc(size_t size); void ggml_vk_host_free(void * ptr); -void ggml_vk_free_data(const struct ggml_tensor* tensor); +void ggml_vk_free_data(const struct ggml_tensor * tensor); -void ggml_vk_transform_tensor(struct ggml_tensor * tensor); -void ggml_vk_load_data(const char * fname, struct ggml_tensor * tensor, size_t offset); +void ggml_vk_transform_tensor(void * data, struct ggml_tensor * tensor); #ifdef __cplusplus } diff --git a/ggml.c b/ggml.c index 8c6f2f11fef24..413425135561e 100644 --- a/ggml.c +++ b/ggml.c @@ -9190,13 +9190,20 @@ static void ggml_compute_forward_mul_f32( const int ith = params->ith; const int nth = params->nth; -#ifdef GGML_USE_CLBLAST +#if defined(GGML_USE_CLBLAST) if (src1->backend == GGML_BACKEND_GPU) { if (ith == 0) { ggml_cl_mul(src0, src1, dst); } return; } +#elif defined(GGML_USE_VULKAN) + if (src1->backend == GGML_BACKEND_GPU) { + if (ith == 0) { + ggml_vk_mul(src0, src1, dst); + } + return; + } #endif const int64_t nr = ggml_nrows(src0); diff --git a/llama.cpp b/llama.cpp index 0f9d5346dc551..1374687a07296 100644 --- a/llama.cpp +++ b/llama.cpp @@ -14,6 +14,8 @@ #include "ggml-cuda.h" #elif defined(GGML_USE_CLBLAST) #include "ggml-opencl.h" +#elif defined(GGML_USE_VULKAN) +#include "ggml-vulkan.h" #endif #ifdef GGML_USE_METAL @@ -303,6 +305,10 @@ struct llama_model { for (size_t i = 0; i < tensors_by_name.size(); ++i) { ggml_cl_free_data(tensors_by_name[i].second); } +#elif defined(GGML_USE_VULKAN) + for (size_t i = 0; i < tensors_by_name.size(); ++i) { + ggml_vk_free_data(tensors_by_name[i].second); + } #endif } }; @@ -756,6 +762,13 @@ struct llama_model_loader { free(lt.data); } break; +#elif defined(GGML_USE_VULKAN) + case GGML_BACKEND_GPU: + ggml_vk_transform_tensor(lt.data, lt.ggml_tensor); + if (!use_mmap) { + free(lt.data); + } + break; #endif default: continue; @@ -1089,6 +1102,10 @@ static void llama_model_load_internal( fprintf(stderr, "%s: using OpenCL for GPU acceleration\n", __func__); #define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_GPU #define LLAMA_BACKEND_OFFLOAD_SPLIT GGML_BACKEND_GPU +#elif defined(GGML_USE_VULKAN) + fprintf(stderr, "%s: using Vulkan for GPU acceleration\n", __func__); +#define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_GPU +#define LLAMA_BACKEND_OFFLOAD_SPLIT GGML_BACKEND_GPU #else #define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_CPU #define LLAMA_BACKEND_OFFLOAD_SPLIT GGML_BACKEND_CPU @@ -1208,7 +1225,7 @@ static void llama_model_load_internal( } #endif // GGML_USE_CUBLAS -#if defined(GGML_USE_CUBLAS) || defined(GGML_USE_CLBLAST) +#if defined(GGML_USE_CUBLAS) || defined(GGML_USE_CLBLAST) || defined(GGML_USE_VULKAN) const int n_gpu = std::min(n_gpu_layers, int(hparams.n_layer)); fprintf(stderr, "%s: offloading %d repeating layers to GPU\n", __func__, n_gpu); @@ -1236,10 +1253,10 @@ static void llama_model_load_internal( vram_kv_cache += MEM_REQ_KV_SELF().at(model.type) / 2; } } -#elif defined(GGML_USE_CLBLAST) +#elif defined(GGML_USE_CLBLAST) || defined(GGML_USE_VULKAN) const int max_backend_supported_layers = hparams.n_layer + 1; const int max_offloadable_layers = hparams.n_layer + 1; -#endif // GGML_USE_CUBLAS +#endif fprintf(stderr, "%s: offloaded %d/%d layers to GPU\n", __func__, std::min(n_gpu_layers, max_offloadable_layers), max_backend_supported_layers); @@ -1247,7 +1264,7 @@ static void llama_model_load_internal( __func__, (vram_weights + vram_scratch + vram_kv_cache + MB - 1) / MB); // round up #else (void) n_gpu_layers; -#endif // defined(GGML_USE_CUBLAS) || defined(GGML_USE_CLBLAST) +#endif // defined(GGML_USE_CUBLAS) || defined(GGML_USE_CLBLAST) || defined(GGML_USE_VULKAN) } // populate `tensors_by_name` diff --git a/llama.h b/llama.h index e744584f23fb3..46d0e7e2090e0 100644 --- a/llama.h +++ b/llama.h @@ -48,7 +48,7 @@ #define LLAMA_DEFAULT_SEED 0xFFFFFFFF -#if defined(GGML_USE_CUBLAS) || defined(GGML_USE_CLBLAST) || defined(GGML_USE_METAL) +#if defined(GGML_USE_CUBLAS) || defined(GGML_USE_CLBLAST) || defined(GGML_USE_METAL) || defined(GGML_USE_VULKAN) // Defined when llama.cpp is compiled with support for offloading model layers to GPU. #define LLAMA_SUPPORTS_GPU_OFFLOAD #endif diff --git a/vk_shaders/dequant_mul_mat_vec_q4_0.glsl b/vk_shaders/dequant_mul_mat_vec_q4_0.glsl new file mode 100644 index 0000000000000..d713497ea4e58 --- /dev/null +++ b/vk_shaders/dequant_mul_mat_vec_q4_0.glsl @@ -0,0 +1,73 @@ +#version 450 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require +#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require + +#define QUANT_K 32 +#define QUANT_R 2 +#define BLOCK_SIZE 32 + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +struct block_q4_0 +{ + float16_t d; + uint8_t qs[16]; +}; + +layout (binding = 0) readonly buffer A { block_q4_0 x[]; }; +layout (binding = 1) readonly buffer B { float y[]; }; +layout (binding = 2) writeonly buffer D { float dst[]; }; + +layout (push_constant) uniform parameter +{ + int ncols; +} p; + +shared float tmp[BLOCK_SIZE]; + +void main() { + const int block_size = int(gl_WorkGroupSize.x); + const int row = int(gl_WorkGroupID.x); + const int tid = int(gl_LocalInvocationID.x); + + const int y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; + + tmp[tid] = 0; + + for (int i = 0; i < p.ncols/block_size; i += 2) { + const int col = i*block_size + 2*tid; + const int ib = (row*p.ncols + col)/QUANT_K; // block index + const int iqs = (col%QUANT_K)/QUANT_R; // quant index + const int iybs = col - col%QUANT_K; // y block start index + + // dequantize + const float d = float(x[ib].d); + + const uint8_t vui = x[ib].qs[iqs]; + + const int8_t vi0 = int8_t(vui & 0xF); + const int8_t vi1 = int8_t(vui >> 4); + + float v0 = (vi0 - 8)*d; + float v1 = (vi1 - 8)*d; + + // matrix multiplication + tmp[tid] += v0 * y[iybs + iqs + 0]; + tmp[tid] += v1 * y[iybs + iqs + y_offset]; + } + + // sum up partial sums and write back result + barrier(); + for (int s=block_size/2; s>0; s>>=1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + dst[row] = tmp[0]; + } +} diff --git a/vk_shaders/mul_f32.glsl b/vk_shaders/mul_f32.glsl new file mode 100644 index 0000000000000..21cc0a79578e3 --- /dev/null +++ b/vk_shaders/mul_f32.glsl @@ -0,0 +1,30 @@ +#version 450 + +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; + +layout (binding = 0) buffer X { float data_x[]; }; +layout (binding = 1) buffer Y { float data_y[]; }; +layout (binding = 2) buffer D { float data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int stride_x; + int stride_y; + int stride_d; + int x_offset; + int y_offset; + int d_offset; +} p; + +void main() { + const int x = int(gl_GlobalInvocationID.x); + const int y = int(gl_GlobalInvocationID.y); + + if (x >= p.M || y >= p.N) { + return; + } + + data_d[p.d_offset + y * p.stride_d + x] = data_x[p.x_offset + y * p.stride_x + x] * data_y[p.y_offset + x]; +} From 2859562501cefe8fcb06694fc52fecfbac1af559 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 22 Jul 2023 17:42:34 +0200 Subject: [PATCH 049/142] Run glslc commands in parallel --- Makefile | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/Makefile b/Makefile index 2c80ab24ff86e..5886dd35b57c4 100644 --- a/Makefile +++ b/Makefile @@ -232,15 +232,16 @@ ifdef LLAMA_VULKAN OBJS += ggml-vulkan.o ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h $(CXX) $(CXXFLAGS) -c $< -o $@ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f32.glsl -o vk_shaders/matmul_f32.spv - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f32_aligned.glsl -o vk_shaders/matmul_f32_aligned.spv - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16.glsl -o vk_shaders/matmul_f16.spv - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16_aligned.glsl -o vk_shaders/matmul_f16_aligned.spv - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_split_k_reduce.glsl -o vk_shaders/matmul_split_k_reduce.spv - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/f16_to_f32.glsl -o vk_shaders/f16_to_f32.spv - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_q4_0.glsl -o vk_shaders/dequant_q4_0.spv - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_q4_0.glsl -o vk_shaders/dequant_mul_mat_vec_q4_0.spv - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/mul_f32.glsl -o vk_shaders/mul_f32.spv + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f32.glsl -o vk_shaders/matmul_f32.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f32_aligned.glsl -o vk_shaders/matmul_f32_aligned.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16.glsl -o vk_shaders/matmul_f16.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16_aligned.glsl -o vk_shaders/matmul_f16_aligned.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_split_k_reduce.glsl -o vk_shaders/matmul_split_k_reduce.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/f16_to_f32.glsl -o vk_shaders/f16_to_f32.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_q4_0.glsl -o vk_shaders/dequant_q4_0.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_q4_0.glsl -o vk_shaders/dequant_mul_mat_vec_q4_0.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/mul_f32.glsl -o vk_shaders/mul_f32.spv & \ + wait endif ifneq ($(filter aarch64%,$(UNAME_M)),) From 3452095089918abf296b653bf93ac8afde7942ce Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 22 Jul 2023 17:46:52 +0200 Subject: [PATCH 050/142] Unroll loops in dmmv shader --- vk_shaders/dequant_mul_mat_vec_q4_0.glsl | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/vk_shaders/dequant_mul_mat_vec_q4_0.glsl b/vk_shaders/dequant_mul_mat_vec_q4_0.glsl index d713497ea4e58..160d603d8f1d4 100644 --- a/vk_shaders/dequant_mul_mat_vec_q4_0.glsl +++ b/vk_shaders/dequant_mul_mat_vec_q4_0.glsl @@ -33,11 +33,11 @@ void main() { const int row = int(gl_WorkGroupID.x); const int tid = int(gl_LocalInvocationID.x); - const int y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; + const int y_offset = QUANT_K/2; tmp[tid] = 0; - for (int i = 0; i < p.ncols/block_size; i += 2) { + [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { const int col = i*block_size + 2*tid; const int ib = (row*p.ncols + col)/QUANT_K; // block index const int iqs = (col%QUANT_K)/QUANT_R; // quant index @@ -61,7 +61,7 @@ void main() { // sum up partial sums and write back result barrier(); - for (int s=block_size/2; s>0; s>>=1) { + [[unroll]] for (int s=block_size/2; s>0; s>>=1) { if (tid < s) { tmp[tid] += tmp[tid + s]; } From f2d4ca34bf36e70b26e145f5b401464d2a22fcf0 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 22 Jul 2023 18:25:07 +0200 Subject: [PATCH 051/142] Reduce usage of waitIdle --- ggml-vulkan.cpp | 22 ++++++++++++++++------ 1 file changed, 16 insertions(+), 6 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index ad64c8f8a3f4f..02689189cf9af 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -380,7 +380,7 @@ static void ggml_vk_queue_cleanup(vk_queue& q) { #ifdef VK_DEBUG std::cerr << "ggml_vk_queue_cleanup()" << std::endl; #endif - q.queue.waitIdle(); + // Requires semaphores and command buffers to be done q.semaphore_idx = 0; @@ -702,7 +702,7 @@ void ggml_vk_init(void) { static vk_pipeline* ggml_vk_get_to_fp32(ggml_type type) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_get_to_fp32_vk()" << std::endl; + std::cerr << "ggml_vk_get_to_fp32()" << std::endl; #endif switch (type) { case GGML_TYPE_Q4_0: @@ -723,6 +723,9 @@ static vk_pipeline* ggml_vk_get_to_fp32(ggml_type type) { } static vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_get_dequantize_mul_mat_vec()" << std::endl; +#endif switch (type) { case GGML_TYPE_Q4_0: return &vk_pipeline_dequant_mul_mat_vec_q4_0; @@ -828,6 +831,9 @@ static void ggml_vk_pool_free(vk_buffer& buffer) { } void ggml_vk_free_data(const struct ggml_tensor* tensor) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_free_data(" << tensor << ")" << std::endl; +#endif if (tensor->backend != GGML_BACKEND_GPU) { return; } @@ -1452,7 +1458,8 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - // cleanup waits for the queue to be done + vk_transfer_queues[0].queue.waitIdle(); + ggml_vk_queue_cleanup(vk_transfer_queues[0]); ggml_vk_queue_cleanup(vk_transfer_queues[1]); ggml_vk_queue_cleanup(vk_compute_queue); @@ -1605,7 +1612,8 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - // cleanup waits for the queue to be done + vk_transfer_queues[0].queue.waitIdle(); + ggml_vk_queue_cleanup(vk_transfer_queues[0]); ggml_vk_queue_cleanup(vk_transfer_queues[1]); ggml_vk_queue_cleanup(vk_compute_queue); @@ -1781,7 +1789,8 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - // cleanup waits for the queue to be done + vk_transfer_queues[0].queue.waitIdle(); + ggml_vk_queue_cleanup(vk_transfer_queues[0]); ggml_vk_queue_cleanup(vk_transfer_queues[1]); ggml_vk_queue_cleanup(vk_compute_queue); @@ -2000,7 +2009,8 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, } } - // cleanup waits for the queue to be done + vk_transfer_queues[1].queue.waitIdle(); + ggml_vk_queue_cleanup(vk_transfer_queues[0]); ggml_vk_queue_cleanup(vk_transfer_queues[1]); ggml_vk_queue_cleanup(vk_compute_queue); From 67843a38128dcdf6d64ef7b1a3eac09207804d86 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 22 Jul 2023 18:48:15 +0200 Subject: [PATCH 052/142] Reuse pinned allocation for f16 conversion --- ggml-vulkan.cpp | 21 ++++++++++++++++++--- 1 file changed, 18 insertions(+), 3 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 02689189cf9af..dc31824945117 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -117,6 +117,9 @@ vk_pipeline vk_pipeline_dequant_mul_mat_vec_q4_0; vk_pipeline vk_pipeline_mul_f32; vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; +void * vk_pinned_workspace; +size_t vk_pinned_workspace_size; + bool vk_fp16_support = false; static std::vector> vk_pinned_memory; @@ -617,6 +620,9 @@ void ggml_vk_init(void) { device_create_info.setPNext(&device_features2); vk_device = vk_physical_device.createDevice(device_create_info); + vk_pinned_workspace = nullptr; + vk_pinned_workspace_size = 0; + // Prepare matmul values auto warptile_l = { 128, 128, 128, 16, 64, 64, 2, 4, 4 }; auto warptile_m = { 128, 64, 64, 16, 32, 32, 2, 4, 2 }; @@ -1532,7 +1538,18 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr const bool load_x = src0->backend != GGML_BACKEND_GPU; - ggml_fp16_t * fp16_staging = (ggml_fp16_t *) ggml_vk_host_malloc(sizeof(ggml_fp16_t) * (ne11 * ne10) * (ne02 * ne03)); + const size_t workspace_size = sizeof(ggml_fp16_t) * (ne11 * ne10) * (ne02 * ne03); + + if (vk_pinned_workspace == nullptr) { + vk_pinned_workspace = ggml_vk_host_malloc(workspace_size); + vk_pinned_workspace_size = workspace_size; + } else if (vk_pinned_workspace_size < workspace_size) { + ggml_vk_host_free(vk_pinned_workspace); + vk_pinned_workspace = ggml_vk_host_malloc(workspace_size); + vk_pinned_workspace_size = workspace_size; + } + + ggml_fp16_t * fp16_staging = (ggml_fp16_t *) vk_pinned_workspace; for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { @@ -1618,8 +1635,6 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_queue_cleanup(vk_transfer_queues[1]); ggml_vk_queue_cleanup(vk_compute_queue); - ggml_vk_host_free(fp16_staging); - if (src0->backend != GGML_BACKEND_GPU) { ggml_vk_pool_free(d_X); } From 1ac8ff35937ccff1361c17355b1cd32317be3ce0 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 22 Jul 2023 20:05:57 +0200 Subject: [PATCH 053/142] Handle devices with only a single queue --- ggml-vulkan.cpp | 31 +++++++++++++++++++++++++------ 1 file changed, 25 insertions(+), 6 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index dc31824945117..59271ee590e66 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -559,8 +559,20 @@ void ggml_vk_init(void) { std::vector queue_family_props = vk_physical_device.getQueueFamilyProperties(); // Try to find a non-graphics compute queue and transfer-focused queues - uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1, 1); - uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics | vk::QueueFlagBits::eVideoDecodeKHR | vk::QueueFlagBits::eProtected | vk::QueueFlagBits::eOpticalFlowNV, compute_queue_family_index, 2); + const uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1, 1); + const uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics | vk::QueueFlagBits::eVideoDecodeKHR | vk::QueueFlagBits::eProtected | vk::QueueFlagBits::eOpticalFlowNV, compute_queue_family_index, 2); + + uint32_t transfer_queue_count = VK_TRANSFER_QUEUE_COUNT; + + // If not enough transfer queues are available + if (transfer_queue_count > queue_family_props[transfer_queue_family_index].queueCount) { + // If compute and transfer queues are same family + if (compute_queue_family_index == transfer_queue_family_index) { + transfer_queue_count = queue_family_props[transfer_queue_family_index].queueCount - 1; + } else { + transfer_queue_count = queue_family_props[transfer_queue_family_index].queueCount; + } + } std::cerr << "Queue Families:" << std::endl; for(size_t i = 0; i < queue_family_props.size(); i++) { @@ -574,9 +586,10 @@ void ggml_vk_init(void) { std::vector device_queue_create_infos; if (compute_queue_family_index != transfer_queue_family_index) { device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, &compute_queue_priority}); - device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, VK_TRANSFER_QUEUE_COUNT, transfer_queue_priority}); + GGML_ASSERT(transfer_queue_count > 0); + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, transfer_queue_count, transfer_queue_priority}); } else { - device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, 1 + VK_TRANSFER_QUEUE_COUNT, transfer_queue_priority}); + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, 1 + transfer_queue_count, transfer_queue_priority}); } vk::DeviceCreateInfo device_create_info; std::vector device_extensions; @@ -653,9 +666,15 @@ void ggml_vk_init(void) { vk_pipeline_mul_f32 = ggml_vk_create_pipeline("vk_shaders/mul_f32.spv", "main", 3, 8 * sizeof(int), {32, 32, 1}, {}, 1); // Queues + uint32_t queue_index_offset = compute_queue_family_index == transfer_queue_family_index ? 1 : 0; + vk_compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader }); for (int i = 0; i < VK_TRANSFER_QUEUE_COUNT; i++) { - vk_transfer_queues[i] = ggml_vk_create_queue(transfer_queue_family_index, i, { vk::PipelineStageFlagBits::eTransfer }); + if (transfer_queue_count > 0) { + vk_transfer_queues[i] = ggml_vk_create_queue(transfer_queue_family_index, (queue_index_offset + i) % transfer_queue_count, { vk::PipelineStageFlagBits::eTransfer }); + } else { + vk_transfer_queues[i] = vk_compute_queue; + } } #if defined(VK_CHK_KERNEL) @@ -668,7 +687,7 @@ void ggml_vk_init(void) { ggml_vk_test_transfer(1024 * 1024 * m); } const std::vector vals { - 4096, 1, 11008, + 512, 1, 256, 128, 110, 622, 511, 511, 127, 511, 511, 7, From 53809c9c26f3c29fe9881f7b3d081193e33741d3 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 23 Jul 2023 11:28:15 +0200 Subject: [PATCH 054/142] Fix trailing whitespace in CMakeLists.txt --- CMakeLists.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index 86ac8c7980324..7da296160b5d0 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -368,7 +368,7 @@ if (LLAMA_VULKAN) ) target_sources(ggml-vulkan PRIVATE "vk_shaders/${s}.spv") endforeach() - + add_compile_definitions(GGML_USE_VULKAN) set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} ggml-vulkan) From 4e580284c045ee3963bfbf22137a3e11f0fbcdff Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Mon, 24 Jul 2023 22:51:19 +0200 Subject: [PATCH 055/142] Allow parallel execution of kernels, parallelize third and fourth dimension calls --- Makefile | 1 + ggml-vulkan.cpp | 694 +++++++++++------------- vk_shaders/dequant_mul_mat_vec_f16.glsl | 59 ++ 3 files changed, 388 insertions(+), 366 deletions(-) create mode 100644 vk_shaders/dequant_mul_mat_vec_f16.glsl diff --git a/Makefile b/Makefile index 5886dd35b57c4..2015ddc1b29d4 100644 --- a/Makefile +++ b/Makefile @@ -239,6 +239,7 @@ ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_split_k_reduce.glsl -o vk_shaders/matmul_split_k_reduce.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/f16_to_f32.glsl -o vk_shaders/f16_to_f32.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_q4_0.glsl -o vk_shaders/dequant_q4_0.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_f16.glsl -o vk_shaders/dequant_mul_mat_vec_f16.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_q4_0.glsl -o vk_shaders/dequant_mul_mat_vec_q4_0.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/mul_f32.glsl -o vk_shaders/mul_f32.spv & \ wait diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 59271ee590e66..9a9fb3a2e115e 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -52,11 +52,18 @@ struct vk_buffer { uint32_t qf_owner; }; +struct vk_subbuffer { + vk_buffer buffer; + uint32_t offset; + uint32_t size; +}; + struct vk_pipeline { std::string name; vk::DescriptorSetLayout dsl; vk::DescriptorPool descriptor_pool; - vk::DescriptorSet descriptor_set; + std::vector descriptor_sets; + uint32_t descriptor_set_index; vk::PipelineLayout layout; vk::Pipeline pipeline; uint32_t push_constant_size; @@ -102,26 +109,30 @@ struct vk_submission { std::vector signal_semaphores; }; +struct vk_device { + vk::PhysicalDevice physical_device; + vk::PhysicalDeviceProperties properties; + bool fp16; + vk::Device device; + uint32_t vendor_id; + vk_queue compute_queue; + vk_queue transfer_queues[VK_TRANSFER_QUEUE_COUNT]; +}; + typedef std::vector vk_sequence; vk::Instance vk_instance; -vk::PhysicalDevice vk_physical_device; -vk::Device vk_device; -uint32_t vk_device_vendor_id; -vk_queue vk_compute_queue; -vk_queue vk_transfer_queues[VK_TRANSFER_QUEUE_COUNT]; +vk_device vk_device; vk_pipeline vk_pipeline_matmul_f32_l, vk_pipeline_matmul_f32_m, vk_pipeline_matmul_f32_s, vk_pipeline_matmul_f16_l, vk_pipeline_matmul_f16_m, vk_pipeline_matmul_f16_s; vk_pipeline vk_pipeline_matmul_f32_aligned_l, vk_pipeline_matmul_f32_aligned_m, vk_pipeline_matmul_f32_aligned_s, vk_pipeline_matmul_f16_aligned_l, vk_pipeline_matmul_f16_aligned_m, vk_pipeline_matmul_f16_aligned_s; vk_pipeline vk_pipeline_matmul_split_k_reduce; -vk_pipeline vk_pipeline_dequant_mul_mat_vec_q4_0; +vk_pipeline vk_pipeline_dequant_mul_mat_vec_f16, vk_pipeline_dequant_mul_mat_vec_q4_0; vk_pipeline vk_pipeline_mul_f32; vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; void * vk_pinned_workspace; size_t vk_pinned_workspace_size; -bool vk_fp16_support = false; - static std::vector> vk_pinned_memory; static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { @@ -151,24 +162,20 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s } vk::ShaderModuleCreateInfo shader_module_create_info( - vk::ShaderModuleCreateFlags(), + {}, matmul_shader_contents.size(), reinterpret_cast(matmul_shader_contents.data()) ); - vk::ShaderModule shader_module = vk_device.createShaderModule(shader_module_create_info); + vk::ShaderModule shader_module = vk_device.device.createShaderModule(shader_module_create_info); std::vector dsl_binding; - std::vector dsl_binding_flags; + std::vector dsl_binding_flags; for (uint32_t i = 0; i < parameter_count; i++) { dsl_binding.push_back({i, vk::DescriptorType::eStorageBuffer, 1, vk::ShaderStageFlagBits::eCompute}); - dsl_binding_flags.push_back(VK_DESCRIPTOR_BINDING_UPDATE_AFTER_BIND_BIT); + dsl_binding_flags.push_back({}); } - VkDescriptorSetLayoutBindingFlagsCreateInfo dslbfci; - dslbfci.pNext = nullptr; - dslbfci.sType = VK_STRUCTURE_TYPE_DESCRIPTOR_SET_LAYOUT_BINDING_FLAGS_CREATE_INFO; - dslbfci.bindingCount = dsl_binding_flags.size(); - dslbfci.pBindingFlags = dsl_binding_flags.data(); + vk::DescriptorSetLayoutBindingFlagsCreateInfo dslbfci = { dsl_binding_flags }; vk::PushConstantRange pcr( vk::ShaderStageFlagBits::eCompute, @@ -177,21 +184,19 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s ); vk::DescriptorSetLayoutCreateInfo descriptor_set_layout_create_info( - vk::DescriptorSetLayoutCreateFlags(VK_DESCRIPTOR_SET_LAYOUT_CREATE_UPDATE_AFTER_BIND_POOL_BIT), + {}, dsl_binding); descriptor_set_layout_create_info.setPNext(&dslbfci); - pipeline.dsl = vk_device.createDescriptorSetLayout(descriptor_set_layout_create_info); + pipeline.dsl = vk_device.device.createDescriptorSetLayout(descriptor_set_layout_create_info); vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline.parameter_count); - vk::DescriptorPoolCreateInfo descriptor_pool_create_info(vk::DescriptorPoolCreateFlags(VK_DESCRIPTOR_POOL_CREATE_FREE_DESCRIPTOR_SET_BIT | VK_DESCRIPTOR_POOL_CREATE_UPDATE_AFTER_BIND_BIT), 1, descriptor_pool_size); - pipeline.descriptor_pool = vk_device.createDescriptorPool(descriptor_pool_create_info); + vk::DescriptorPoolCreateInfo descriptor_pool_create_info({}, 128, descriptor_pool_size); + pipeline.descriptor_pool = vk_device.device.createDescriptorPool(descriptor_pool_create_info); - vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pipeline.descriptor_pool, 1, &pipeline.dsl); - const std::vector descriptor_sets = vk_device.allocateDescriptorSets(descriptor_set_alloc_info); - pipeline.descriptor_set = descriptor_sets.front(); + pipeline.descriptor_set_index = 0; vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), pipeline.dsl, pcr); - pipeline.layout = vk_device.createPipelineLayout(pipeline_layout_create_info); + pipeline.layout = vk_device.device.createPipelineLayout(pipeline_layout_create_info); std::vector specialization_entries(specialization_constants.size()); @@ -218,11 +223,36 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s vk::PipelineCreateFlags(), pipeline_shader_create_info, pipeline.layout); - pipeline.pipeline = vk_device.createComputePipeline(VK_NULL_HANDLE, compute_pipeline_create_info).value; + pipeline.pipeline = vk_device.device.createComputePipeline(VK_NULL_HANDLE, compute_pipeline_create_info).value; return pipeline; } +static void ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline& pipeline, uint32_t n) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_pipeline_allocate_descriptor_sets(" << pipeline.name << ", " << n << ")" << std::endl; +#endif + if (pipeline.descriptor_sets.size() >= n) { + // Enough descriptors are available + return; + } + + std::vector layouts(n); + for (uint32_t i = 0; i < n; i++) { + layouts[i] = pipeline.dsl; + } + vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pipeline.descriptor_pool, n - pipeline.descriptor_sets.size(), layouts.data()); + std::vector sets = vk_device.device.allocateDescriptorSets(descriptor_set_alloc_info); + pipeline.descriptor_sets.insert(pipeline.descriptor_sets.end(), sets.begin(), sets.end()); +} + +static void ggml_vk_pipeline_cleanup(vk_pipeline& pipeline) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_pipeline_cleanup(" << pipeline.name << ")" << std::endl; +#endif + pipeline.descriptor_set_index = 0; +} + static vk::CommandBuffer ggml_vk_create_cmd_buffer(vk_queue& q) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_cmd_buffer()" << std::endl; @@ -236,7 +266,7 @@ static vk::CommandBuffer ggml_vk_create_cmd_buffer(vk_queue& q) { q.pool, vk::CommandBufferLevel::ePrimary, 1); - const std::vector cmd_buffers = vk_device.allocateCommandBuffers(command_buffer_alloc_info); + const std::vector cmd_buffers = vk_device.device.allocateCommandBuffers(command_buffer_alloc_info); auto buf = cmd_buffers.front(); q.cmd_buffers.push_back(buf); @@ -351,12 +381,12 @@ static vk_queue ggml_vk_create_queue(uint32_t queue_family_index, uint32_t queue q.queue_family_index = queue_family_index; vk::CommandPoolCreateInfo command_pool_create_info_compute(vk::CommandPoolCreateFlags(VK_COMMAND_POOL_CREATE_TRANSIENT_BIT), queue_family_index); - q.pool = vk_device.createCommandPool(command_pool_create_info_compute); + q.pool = vk_device.device.createCommandPool(command_pool_create_info_compute); q.cmd_buffer_idx = 0; q.semaphore_idx = 0; - q.queue = vk_device.getQueue(queue_family_index, queue_index); + q.queue = vk_device.device.getQueue(queue_family_index, queue_index); q.stage_flags = stage_flags; @@ -372,7 +402,7 @@ static vk::Semaphore ggml_vk_create_semaphore(vk_queue& q) { return q.semaphores[q.semaphore_idx++]; } - vk::Semaphore semaphore = vk_device.createSemaphore({}); + vk::Semaphore semaphore = vk_device.device.createSemaphore({}); q.semaphores.push_back(semaphore); q.semaphore_idx++; @@ -387,7 +417,7 @@ static void ggml_vk_queue_cleanup(vk_queue& q) { q.semaphore_idx = 0; - vk_device.resetCommandPool(q.pool); + vk_device.device.resetCommandPool(q.pool); q.cmd_buffer_idx = 0; } @@ -407,11 +437,11 @@ static vk_buffer ggml_vk_create_buffer(size_t size, vk::MemoryPropertyFlags req_ nullptr, }; - buf.buffer = vk_device.createBuffer(buffer_create_info); + buf.buffer = vk_device.device.createBuffer(buffer_create_info); - vk::MemoryRequirements mem_req = vk_device.getBufferMemoryRequirements(buf.buffer); + vk::MemoryRequirements mem_req = vk_device.device.getBufferMemoryRequirements(buf.buffer); - vk::PhysicalDeviceMemoryProperties mem_props = vk_physical_device.getMemoryProperties(); + vk::PhysicalDeviceMemoryProperties mem_props = vk_device.physical_device.getMemoryProperties(); uint32_t memory_type_index = uint32_t(~0); @@ -423,15 +453,15 @@ static vk_buffer ggml_vk_create_buffer(size_t size, vk::MemoryPropertyFlags req_ } } - buf.device_memory = vk_device.allocateMemory({ mem_req.size, memory_type_index }); + buf.device_memory = vk_device.device.allocateMemory({ mem_req.size, memory_type_index }); buf.memory_property_flags = req_flags; buf.ptr = nullptr; if (req_flags & vk::MemoryPropertyFlagBits::eHostVisible) { - buf.ptr = vk_device.mapMemory(buf.device_memory, 0, VK_WHOLE_SIZE); + buf.ptr = vk_device.device.mapMemory(buf.device_memory, 0, VK_WHOLE_SIZE); } - vk_device.bindBufferMemory(buf.buffer, buf.device_memory, 0); + vk_device.device.bindBufferMemory(buf.buffer, buf.device_memory, 0); buf.sb_write = nullptr; buf.sb_read = nullptr; @@ -441,7 +471,11 @@ static vk_buffer ggml_vk_create_buffer(size_t size, vk::MemoryPropertyFlags req_ return buf; } -static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector&& buffers, vk_queue& q, vk::AccessFlags&& src_mask, vk::AccessFlags&& dst_mask, bool force_sync) { +static inline vk_subbuffer ggml_vk_subbuffer(vk_buffer& buf) { + return { buf, 0, (uint32_t) buf.size }; +} + +static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector&& buffers, vk_queue& q, vk::AccessFlags&& src_mask, vk::AccessFlags&& dst_mask, bool force_sync) { #ifdef VK_DEBUG std::cerr << "ggml_vk_sync_buffers()" << std::endl; #endif @@ -451,15 +485,15 @@ static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vectordevice_memory); - vk_device.destroyBuffer(buf.sb_write->buffer); + vk_device.device.freeMemory(buf.sb_write->device_memory); + vk_device.device.destroyBuffer(buf.sb_write->buffer); delete buf.sb_write; buf.sb_write = nullptr; } if (buf.sb_read != nullptr) { - vk_device.freeMemory(buf.sb_read->device_memory); - vk_device.destroyBuffer(buf.sb_read->buffer); + vk_device.device.freeMemory(buf.sb_read->device_memory); + vk_device.device.destroyBuffer(buf.sb_read->buffer); delete buf.sb_read; buf.sb_read = nullptr; } @@ -535,13 +569,13 @@ void ggml_vk_init(void) { #endif vk_instance = vk::createInstance(instance_create_info); - vk_physical_device = vk_instance.enumeratePhysicalDevices()[dev_num]; - vk::PhysicalDeviceProperties device_props = vk_physical_device.getProperties(); - std::cerr << "ggml_vulkan: Using " << device_props.deviceName << std::endl; + vk_device.physical_device = vk_instance.enumeratePhysicalDevices()[dev_num]; + vk_device.properties = vk_device.physical_device.getProperties(); + std::cerr << "ggml_vulkan: Using " << vk_device.properties.deviceName << std::endl; - vk_device_vendor_id = device_props.vendorID; + vk_device.vendor_id = vk_device.properties.vendorID; - std::vector ext_props = vk_physical_device.enumerateDeviceExtensionProperties(); + std::vector ext_props = vk_device.physical_device.enumerateDeviceExtensionProperties(); bool fp16_storage = false; bool fp16_compute = false; @@ -554,9 +588,9 @@ void ggml_vk_init(void) { } } - vk_fp16_support = fp16_storage && fp16_compute; + vk_device.fp16 = fp16_storage && fp16_compute; - std::vector queue_family_props = vk_physical_device.getQueueFamilyProperties(); + std::vector queue_family_props = vk_device.physical_device.getQueueFamilyProperties(); // Try to find a non-graphics compute queue and transfer-focused queues const uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1, 1); @@ -593,7 +627,7 @@ void ggml_vk_init(void) { } vk::DeviceCreateInfo device_create_info; std::vector device_extensions; - vk::PhysicalDeviceFeatures device_features = vk_physical_device.getFeatures(); + vk::PhysicalDeviceFeatures device_features = vk_device.physical_device.getFeatures(); VkPhysicalDeviceFeatures2 device_features2; device_features2.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_FEATURES_2; @@ -610,9 +644,9 @@ void ggml_vk_init(void) { vk12_features.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_VULKAN_1_2_FEATURES; vk11_features.pNext = &vk12_features; - vkGetPhysicalDeviceFeatures2(vk_physical_device, &device_features2); + vkGetPhysicalDeviceFeatures2(vk_device.physical_device, &device_features2); - vk_fp16_support = vk_fp16_support && vk12_features.shaderFloat16; + vk_device.fp16 = vk_device.fp16 && vk12_features.shaderFloat16; if (!vk11_features.storageBuffer16BitAccess) { std::cerr << "ggml_vulkan: device does not support 16-bit storage" << std::endl; @@ -620,7 +654,7 @@ void ggml_vk_init(void) { device_extensions.push_back("VK_KHR_16bit_storage"); - if (vk_fp16_support) { + if (vk_device.fp16) { std::cerr << "ggml_vulkan: 16-bit enabled" << std::endl; device_extensions.push_back("VK_KHR_shader_float16_int8"); } @@ -631,7 +665,7 @@ void ggml_vk_init(void) { device_extensions }; device_create_info.setPNext(&device_features2); - vk_device = vk_physical_device.createDevice(device_create_info); + vk_device.device = vk_device.physical_device.createDevice(device_create_info); vk_pinned_workspace = nullptr; vk_pinned_workspace_size = 0; @@ -648,7 +682,7 @@ void ggml_vk_init(void) { vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - if (vk_fp16_support) { + if (vk_device.fp16) { vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); @@ -661,6 +695,7 @@ void ggml_vk_init(void) { vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f16 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_f16.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); vk_pipeline_dequant_mul_mat_vec_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_q4_0.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); vk_pipeline_mul_f32 = ggml_vk_create_pipeline("vk_shaders/mul_f32.spv", "main", 3, 8 * sizeof(int), {32, 32, 1}, {}, 1); @@ -668,12 +703,12 @@ void ggml_vk_init(void) { // Queues uint32_t queue_index_offset = compute_queue_family_index == transfer_queue_family_index ? 1 : 0; - vk_compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader }); + vk_device.compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader }); for (int i = 0; i < VK_TRANSFER_QUEUE_COUNT; i++) { if (transfer_queue_count > 0) { - vk_transfer_queues[i] = ggml_vk_create_queue(transfer_queue_family_index, (queue_index_offset + i) % transfer_queue_count, { vk::PipelineStageFlagBits::eTransfer }); + vk_device.transfer_queues[i] = ggml_vk_create_queue(transfer_queue_family_index, (queue_index_offset + i) % transfer_queue_count, { vk::PipelineStageFlagBits::eTransfer }); } else { - vk_transfer_queues[i] = vk_compute_queue; + vk_device.transfer_queues[i] = vk_device.compute_queue; } } @@ -762,8 +797,8 @@ static vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type) { // return &dequantize_mul_mat_vec_q5_1_cl; // case GGML_TYPE_Q8_0: // return &dequantize_mul_mat_vec_q8_0_cl; - // case GGML_TYPE_F16: - // return &convert_mul_mat_vec_f16_cl; + case GGML_TYPE_F16: + return &vk_pipeline_dequant_mul_mat_vec_f16; // case GGML_TYPE_Q2_K: // return &dequantize_mul_mat_vec_q2_K_cl; // case GGML_TYPE_Q3_K: @@ -882,8 +917,8 @@ void* ggml_vk_host_malloc(size_t size) { fprintf(stderr, "WARNING: failed to allocate %.2f MB of pinned memory\n", size/1024.0/1024.0); buf.size = 0; - vk_device.freeMemory(buf.device_memory); - vk_device.destroyBuffer(buf.buffer); + vk_device.device.freeMemory(buf.device_memory); + vk_device.device.destroyBuffer(buf.buffer); return nullptr; } @@ -925,7 +960,7 @@ static vk_submission ggml_vk_begin_submission(vk_queue& q) { return s; } -static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, std::vector buffers, size_t push_constant_size, const void* push_constants, std::array elements) { +static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, std::vector&& buffers, size_t push_constant_size, const void* push_constants, std::array elements) { uint32_t wg0 = CEIL_DIV(elements[0], pipeline.wg_denoms[0]); uint32_t wg1 = CEIL_DIV(elements[1], pipeline.wg_denoms[1]); uint32_t wg2 = CEIL_DIV(elements[2], pipeline.wg_denoms[2]); @@ -934,21 +969,22 @@ static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, s #endif std::vector descriptor_buffer_infos; std::vector write_descriptor_sets; + vk::DescriptorSet& descriptor_set = pipeline.descriptor_sets[pipeline.descriptor_set_index++]; for (uint32_t i = 0; i < pipeline.parameter_count; i++) { - descriptor_buffer_infos.push_back({buffers[i].buffer, 0, buffers[i].size}); + descriptor_buffer_infos.push_back({buffers[i].buffer.buffer, buffers[i].offset, buffers[i].size}); } for (uint32_t i = 0; i < pipeline.parameter_count; i++) { - write_descriptor_sets.push_back({pipeline.descriptor_set, i, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &descriptor_buffer_infos[i]}); + write_descriptor_sets.push_back({descriptor_set, i, 0, 1, vk::DescriptorType::eStorageBuffer, nullptr, &descriptor_buffer_infos[i]}); } - vk_device.updateDescriptorSets(write_descriptor_sets, {}); + vk_device.device.updateDescriptorSets(write_descriptor_sets, {}); s.buffer.pushConstants(pipeline.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constant_size, push_constants); s.buffer.bindPipeline(vk::PipelineBindPoint::eCompute, pipeline.pipeline); s.buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, pipeline.layout, 0, - { pipeline.descriptor_set }, + { descriptor_set }, {}); s.buffer.dispatch(wg0, wg1, wg2); } @@ -1002,7 +1038,7 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, } s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { *dst }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); s.buffer.copyBuffer(buf->buffer, dst->buffer, slices); s.buffer.end(); return { s }; @@ -1020,7 +1056,7 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, width * height}; s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { *dst }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); vkCmdCopyBuffer(s.buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); s.buffer.end(); @@ -1047,10 +1083,10 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * memcpy((uint8_t *)dst->ptr + offset + i * width, (const uint8_t *) src + i * spitch, width); } } else { - vk::Fence fence = vk_device.createFence({}); + vk::Fence fence = vk_device.device.createFence({}); std::vector s = { ggml_vk_buffer_write_2d_async(dst, offset, src, spitch, width, height, q, {}, {}) }; ggml_vk_submit(q, s, fence); - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_write_2d waitForFences"); + vk::resultCheck(vk_device.device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_write_2d waitForFences"); } } @@ -1102,7 +1138,7 @@ static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t } s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { *dst }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); if (padded_width > width) { s.buffer.fillBuffer(dst->buffer, 0, VK_WHOLE_SIZE, 0); } @@ -1135,7 +1171,7 @@ static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t padded_width * height}; s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { *dst }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eTransferWrite, false); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eTransferWrite, false); s.buffer.copyBuffer(dst->sb_write->buffer, dst->buffer, { buf_copy }); s.buffer.end(); @@ -1196,7 +1232,7 @@ static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { *src }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead, false); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*src) }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead, false); vkCmdCopyBuffer(s.buffer, src->buffer, buf->buffer, 1, &buf_copy); s.buffer.end(); @@ -1227,7 +1263,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ if (buf != nullptr) { // Memory is pinned, use as staging buffer - vk::Fence fence = vk_device.createFence({}); + vk::Fence fence = vk_device.device.createFence({}); VkBufferCopy buf_copy = { offset, buf_offset, @@ -1235,11 +1271,11 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ std::vector s = { ggml_vk_create_sequence_1(q, {}, {}) }; s[0][0].buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s[0][0].buffer, { *src }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eTransferRead, false); + ggml_vk_sync_buffers(s[0][0].buffer, { ggml_vk_subbuffer(*src) }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eTransferRead, false); vkCmdCopyBuffer(s[0][0].buffer, src->buffer, buf->buffer, 1, &buf_copy); s[0][0].buffer.end(); ggml_vk_submit(q, s, fence); - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read waitForFences"); + vk::resultCheck(vk_device.device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read waitForFences"); return; } @@ -1256,11 +1292,11 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ vk::CommandBuffer cmd_buffer = ggml_vk_create_cmd_buffer(q); vk::CommandBufferBeginInfo cmd_buffer_begin_info(vk::CommandBufferUsageFlagBits::eOneTimeSubmit); cmd_buffer.begin(cmd_buffer_begin_info); - ggml_vk_sync_buffers(cmd_buffer, { *src }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eTransferRead, false); + ggml_vk_sync_buffers(cmd_buffer, { ggml_vk_subbuffer(*src) }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eTransferRead, false); vkCmdCopyBuffer(cmd_buffer, src->buffer, src->sb_read->buffer, 1, &buf_copy); cmd_buffer.end(); - vk::Fence fence = vk_device.createFence(vk::FenceCreateInfo{}); + vk::Fence fence = vk_device.device.createFence(vk::FenceCreateInfo{}); vk::SubmitInfo submit_info(0, nullptr, @@ -1269,8 +1305,8 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ &cmd_buffer); std::lock_guard guard(q.mutex); q.queue.submit({ submit_info }, fence); - vk::resultCheck(vk_device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read staging waitForFences"); - vk_device.destroyFence(fence); + vk::resultCheck(vk_device.device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read staging waitForFences"); + vk_device.device.destroyFence(fence); memcpy(dst, src->sb_read->ptr, size); } } @@ -1355,7 +1391,7 @@ static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16, int m, int n, bool return aligned ? &vk_pipeline_matmul_f32_aligned_l : &vk_pipeline_matmul_f32_l; } -static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_buffer& a, vk_buffer& b, vk_buffer& d, int m, int n, int k, int stride_a, int stride_b, int stride_d, int split_k, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, int m, int n, int k, int stride_a, int stride_b, int stride_d, int split_k, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_matmul(" << m << ", " << n << ", " << k << ")" << std::endl; #endif @@ -1407,87 +1443,79 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, ne01, ne11, ne10 == kpad); + const uint32_t x_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t y_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment); + vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; if (src0->backend == GGML_BACKEND_GPU) { d_X = *(vk_buffer*) src0->data; } else { - ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, {}); + ggml_vk_pool_malloc(x_sz * ne02 * ne03, &d_X, {}); } - ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, {}); - ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); + ggml_vk_pool_malloc(y_sz * ne02 * ne03, &d_Y, {}); + ggml_vk_pool_malloc(d_sz * ne02 * ne03, &d_D, {}); std::vector compute_seqs; std::vector transfer_0_seqs; std::vector transfer_1_seqs; - vk::Semaphore s_it_x; - vk::Semaphore s_it_y; - const bool load_x = src0->backend != GGML_BACKEND_GPU; + // Allocate descriptor sets + ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); + if (split_k > 1) { + ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne02 * ne03); + } + for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { - const bool first = i03 == 0 && i02 == 0; - const bool last = i03 == ne03 - 1 && i02 == ne02 - 1; + const uint32_t x_offset = load_x ? x_sz * (i03 * ne02 + i02) : 0; + const uint32_t y_offset = y_sz * (i03 * ne02 + i02); + const uint32_t d_offset = d_sz * (i03 * ne02 + i02); vk::Semaphore s_x; - vk::Semaphore s_y = ggml_vk_create_semaphore(vk_compute_queue); + vk::Semaphore s_y = ggml_vk_create_semaphore(vk_device.compute_queue); std::vector semaphores = { s_y }; // copy data to device if (load_x) { - s_x = ggml_vk_create_semaphore(vk_compute_queue); + s_x = ggml_vk_create_semaphore(vk_device.compute_queue); semaphores.push_back(s_x); - if (first) { - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); - } else { - // Wait for previous matmul to be done before writing to the input buffers again - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); - } + // Wait for previous matmul to be done before writing to the input buffers again + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); } - ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - if (first) { - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], {}, { s_y })); - } else { - // Wait for previous matmul to be done before writing to the input buffers again - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], { s_it_y }, { s_y })); - } + // Wait for previous matmul to be done before writing to the input buffers again + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y })); // compute - vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); - - if (!last) { - if (load_x) { - s_it_x = ggml_vk_create_semaphore(vk_compute_queue); - s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_x, s_it_y })); - } else { - s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); - } - } else { - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); - } + vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); + + compute_seqs.push_back(ggml_vk_matmul(*pipeline, { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(semaphores), { s_mm })); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0], { s_mm }, {})); + transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[0], { s_mm }, {})); - ggml_vk_submit(vk_transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_compute_queue, compute_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); } } - ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - vk_transfer_queues[0].queue.waitIdle(); + vk_device.transfer_queues[0].queue.waitIdle(); - ggml_vk_queue_cleanup(vk_transfer_queues[0]); - ggml_vk_queue_cleanup(vk_transfer_queues[1]); - ggml_vk_queue_cleanup(vk_compute_queue); + ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); + ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + ggml_vk_queue_cleanup(vk_device.compute_queue); + + ggml_vk_pipeline_cleanup(*pipeline); + ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); if (src0->backend != GGML_BACKEND_GPU) { ggml_vk_pool_free(d_X); @@ -1502,7 +1530,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; #endif - GGML_ASSERT(vk_fp16_support); + GGML_ASSERT(vk_device.fp16); GGML_ASSERT(src0->type == GGML_TYPE_F16); GGML_ASSERT(src1->type == GGML_TYPE_F32); @@ -1533,31 +1561,31 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, ne01, ne11, ne10 == kpad); - // TODO use larger buffers to parallelize execution + const uint32_t x_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t y_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment); + vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; if (src0->backend == GGML_BACKEND_GPU) { d_X = *(vk_buffer*) src0->data; } else { - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &d_X, {}); + ggml_vk_pool_malloc(x_sz * ne02 * ne03, &d_X, {}); } - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &d_Y, {}); - ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); + ggml_vk_pool_malloc(y_sz * ne02 * ne03, &d_Y, {}); + ggml_vk_pool_malloc(d_sz * ne02 * ne03, &d_D, {}); - bool src1_cont_rows = nb10 == sizeof(float); - bool src1_cont_cols = (size_t)nb11 == ne11*sizeof(float); + const bool src1_cont_rows = nb10 == sizeof(float); + const bool src1_cont_cols = (size_t)nb11 == ne11*sizeof(float); std::vector compute_seqs; std::vector transfer_0_seqs; std::vector transfer_1_seqs; - vk::Semaphore s_it_x; - vk::Semaphore s_it_y; - const bool load_x = src0->backend != GGML_BACKEND_GPU; - const size_t workspace_size = sizeof(ggml_fp16_t) * (ne11 * ne10) * (ne02 * ne03); + const size_t workspace_size = sizeof(ggml_fp16_t) * y_ne * (ne02 * ne03); if (vk_pinned_workspace == nullptr) { vk_pinned_workspace = ggml_vk_host_malloc(workspace_size); @@ -1568,30 +1596,33 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr vk_pinned_workspace_size = workspace_size; } - ggml_fp16_t * fp16_staging = (ggml_fp16_t *) vk_pinned_workspace; + ggml_fp16_t * const fp16_staging = (ggml_fp16_t *) vk_pinned_workspace; + + // Allocate descriptor sets + ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); + if (split_k > 1) { + ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne02 * ne03); + } for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { - const bool first = i03 == 0 && i02 == 0; - const bool last = i03 == ne03 - 1 && i02 == ne02 - 1; + const uint32_t x_offset = load_x ? x_sz * (i03 * ne02 + i02) : 0; + const uint32_t y_offset = y_sz * (i03 * ne02 + i02); + const uint32_t d_offset = d_sz * (i03 * ne02 + i02); vk::Semaphore s_x; - vk::Semaphore s_y = ggml_vk_create_semaphore(vk_compute_queue); + vk::Semaphore s_y = ggml_vk_create_semaphore(vk_device.compute_queue); std::vector semaphores = { s_y }; // copy data to device if (load_x) { - s_x = ggml_vk_create_semaphore(vk_compute_queue); + s_x = ggml_vk_create_semaphore(vk_device.compute_queue); semaphores.push_back(s_x); - if (first) { - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); - } else { - // Wait for previous matmul to be done before writing to the input buffers again - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); - } + // Wait for previous matmul to be done before writing to the input buffers again + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); } - ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); // convert src1 to fp16 // TODO: use multiple threads @@ -1615,44 +1646,31 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } } - if (first) { - transfer_1_seqs.push_back(ggml_vk_buffer_write_async(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1], {}, { s_y })); - } else { - // Wait for previous matmul to be done before writing to the input buffers again - transfer_1_seqs.push_back(ggml_vk_buffer_write_async(&d_Y, 0, tmp, sizeof(ggml_fp16_t) * y_ne, vk_transfer_queues[1], { s_it_y }, { s_y })); - } + transfer_1_seqs.push_back(ggml_vk_buffer_write_async(&d_Y, y_offset, tmp, sizeof(ggml_fp16_t) * y_ne, vk_device.transfer_queues[1], {}, { s_y })); // compute - vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); - if (!last) { - if (load_x) { - s_it_x = ggml_vk_create_semaphore(vk_compute_queue); - s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_x, s_it_y })); - } else { - s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm, s_it_y })); - } - } else { - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, std::move(semaphores), { s_mm })); - } + vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(semaphores), { s_mm })); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0], { s_mm }, {})); + transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[0], { s_mm }, {})); - ggml_vk_submit(vk_transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_compute_queue, compute_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); } } - ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + + vk_device.transfer_queues[0].queue.waitIdle(); - vk_transfer_queues[0].queue.waitIdle(); + ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); + ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + ggml_vk_queue_cleanup(vk_device.compute_queue); - ggml_vk_queue_cleanup(vk_transfer_queues[0]); - ggml_vk_queue_cleanup(vk_transfer_queues[1]); - ggml_vk_queue_cleanup(vk_compute_queue); + ggml_vk_pipeline_cleanup(*pipeline); + ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); if (src0->backend != GGML_BACKEND_GPU) { ggml_vk_pool_free(d_X); @@ -1683,78 +1701,78 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * const int x_ne = ne01 * ne00; const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; - const size_t q_sz = ggml_type_size(type) * x_ne / ggml_blck_size(type); - const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); + const int split_k = mul_mat_vec ? 1 : ggml_vk_guess_split_k(ne01, ne11, ne10); const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, ne01, ne11, ne10 == kpad); + const uint32_t q_sz = ggml_vk_align_size(ggml_type_size(type) * x_ne / ggml_blck_size(type), vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t x_sz = ggml_vk_align_size(sizeof(float) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t y_sz = ggml_vk_align_size(sizeof(float) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment); + + vk_buffer d_Q; + if (src0->backend == GGML_BACKEND_CPU) { + ggml_vk_pool_malloc(q_sz, &d_Q, {}); + } else { + d_Q = *(vk_buffer *) src0->data; + } vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; if (!mul_mat_vec) { - ggml_vk_pool_malloc(sizeof(float) * x_ne, &d_X, {}); - } - ggml_vk_pool_malloc(sizeof(float) * y_ne, &d_Y, {}); - ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); - vk_buffer d_Q; - if (src0->backend == GGML_BACKEND_CPU) { - ggml_vk_pool_malloc(q_sz, &d_Q, {}); + ggml_vk_pool_malloc(x_sz, &d_X, {}); } + ggml_vk_pool_malloc(y_sz, &d_Y, {}); + ggml_vk_pool_malloc(d_sz, &d_D, {}); vk_pipeline* to_fp32_vk = ggml_vk_get_to_fp32(type); vk_pipeline* dmmv = ggml_vk_get_dequantize_mul_mat_vec(type); GGML_ASSERT(to_fp32_vk != nullptr); + GGML_ASSERT(dmmv != nullptr); std::vector compute_seqs; std::vector transfer_0_seqs; std::vector transfer_1_seqs; - vk::Semaphore s_it_x; - vk::Semaphore s_it_y; - const bool load_x = src0->backend != GGML_BACKEND_GPU; + // Allocate descriptor sets + ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); + ggml_vk_pipeline_allocate_descriptor_sets(*to_fp32_vk, ne02 * ne03); + ggml_vk_pipeline_allocate_descriptor_sets(*dmmv, ne02 * ne03); + if (split_k > 1) { + ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne02 * ne03); + } + for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { - const bool first = i03 == 0 && i02 == 0; - const bool last = i03 == ne03 - 1 && i02 == ne02 - 1; + const uint32_t q_offset = load_x ? q_sz * (i03 * ne02 + i02) : 0; + const uint32_t x_offset = x_sz * (i03 * ne02 + i02); + const uint32_t y_offset = y_sz * (i03 * ne02 + i02); + const uint32_t d_offset = d_sz * (i03 * ne02 + i02); vk::Semaphore s_x; - vk::Semaphore s_y = ggml_vk_create_semaphore(vk_transfer_queues[0]); - vk::Semaphore s_q = ggml_vk_create_semaphore(vk_transfer_queues[0]); + vk::Semaphore s_y = ggml_vk_create_semaphore(vk_device.transfer_queues[0]); + vk::Semaphore s_q = ggml_vk_create_semaphore(vk_device.transfer_queues[0]); std::vector q_semaphores; - vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); + vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); // copy src0 to device if necessary if (load_x) { - s_x = ggml_vk_create_semaphore(vk_compute_queue); + s_x = ggml_vk_create_semaphore(vk_device.compute_queue); q_semaphores.push_back(s_x); - if (first) { - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); - } else { - // Wait for previous dequant to be done before writing to the input buffers again - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); - } - } else if (src0->backend == GGML_BACKEND_GPU) { - d_Q = *(vk_buffer *) src0->data; - } else { - GGML_ASSERT(false); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, q_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); } - ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); // copy src1 to device - if (first) { - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], {}, { s_y })); - } else { - // Wait for previous matmul to be done before writing to the input buffers again - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_transfer_queues[1], { s_it_y }, { s_y })); - } + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y })); if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel // // compute @@ -1770,64 +1788,48 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * // VK_CHECK(vkEnqueueNDRangeKernel(queue, *dmmv, 1, NULL, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++)); q_semaphores.push_back(s_y); const int ncols = ne00; - vk_submission s = ggml_vk_begin_submission(vk_compute_queue); - ggml_vk_sync_buffers(s.buffer, { d_Q, d_Y }, vk_compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { d_D }, vk_compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *dmmv, {d_Q, d_Y, d_D}, sizeof(int), &ncols, { (uint32_t)ne01, 1, 1}); - if (!last) { - if (load_x) { - s_it_x = ggml_vk_create_semaphore(vk_compute_queue); - s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - ggml_vk_end_submission(s, std::move(q_semaphores), { s_mm, s_it_x, s_it_y }); - } else { - s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - ggml_vk_end_submission(s, std::move(q_semaphores), { s_mm, s_it_y }); - } - } else { - ggml_vk_end_submission(s, std::move(q_semaphores), { s_mm }); - } + vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_Q), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *dmmv, { { d_Q, q_offset, q_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz } }, sizeof(int), &ncols, { (uint32_t)ne01, 1, 1}); + ggml_vk_end_submission(s, std::move(q_semaphores), { s_mm }); compute_seqs.push_back({ s }); } else { // general dequantization kernel + VK matrix matrix multiplication // convert src0 to fp32 on device - vk_submission s = ggml_vk_begin_submission(vk_compute_queue); + vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { d_Q }, vk_compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { d_X }, vk_compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *to_fp32_vk, {d_Q, d_X}, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); - if (load_x && !last) { - s_it_x = ggml_vk_create_semaphore(vk_compute_queue); - ggml_vk_end_submission(s, std::move(q_semaphores), { s_q, s_it_x }); - } else { - ggml_vk_end_submission(s, std::move(q_semaphores), { s_q }); - } + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_Q) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X) }, vk_device.compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *to_fp32_vk, { { d_Q, q_offset, q_sz }, { d_X, x_offset, x_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); + ggml_vk_end_submission(s, std::move(q_semaphores), { s_q }); compute_seqs.push_back({ s }); // compute - if (!last) { - s_it_y = ggml_vk_create_semaphore(vk_compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, { s_q, s_y }, { s_mm, s_it_y })); - } else { - compute_seqs.push_back(ggml_vk_matmul(*pipeline, d_X, d_Y, d_D, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_compute_queue, { s_q, s_y }, { s_mm })); - } + compute_seqs.push_back(ggml_vk_matmul(*pipeline, { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, { s_q, s_y }, { s_mm })); } // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0], { s_mm }, {})); + transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[0], { s_mm }, {})); - ggml_vk_submit(vk_transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_compute_queue, compute_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); } } - ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - vk_transfer_queues[0].queue.waitIdle(); + vk_device.transfer_queues[0].queue.waitIdle(); - ggml_vk_queue_cleanup(vk_transfer_queues[0]); - ggml_vk_queue_cleanup(vk_transfer_queues[1]); - ggml_vk_queue_cleanup(vk_compute_queue); + ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); + ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + ggml_vk_queue_cleanup(vk_device.compute_queue); + + ggml_vk_pipeline_cleanup(*pipeline); + ggml_vk_pipeline_cleanup(*to_fp32_vk); + ggml_vk_pipeline_cleanup(*dmmv); + ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); if (!mul_mat_vec) { ggml_vk_pool_free(d_X); @@ -1862,7 +1864,7 @@ bool ggml_vk_mul_mat_use_f16(const struct ggml_tensor * src0, const struct ggml_ std::cerr << "ggml_vk_mul_mat_use_f16(" << src0 << ", " << src1 << ")" << std::endl; #endif // If device doesn't support FP16 - if (!vk_fp16_support) { + if (!vk_device.fp16) { return false; } @@ -1935,34 +1937,31 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; + const uint32_t buf_sz = ggml_vk_align_size(sizeof(float) * ne0, vk_device.properties.limits.minStorageBufferOffsetAlignment); + vk_buffer d_X; vk_buffer d_Y = *(vk_buffer*) src1->data; vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(float) * ne0, &d_X, {}); - ggml_vk_pool_malloc(sizeof(float) * ne0, &d_D, {}); + ggml_vk_pool_malloc(buf_sz * ne02 * ne03, &d_X, {}); + ggml_vk_pool_malloc(buf_sz * ne02 * ne03, &d_D, {}); std::vector compute_seqs; std::vector transfer_0_seqs; std::vector transfer_1_seqs; - vk::Semaphore s_it_x; + // Allocate descriptor sets + ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_mul_f32, ne02 * ne03); for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { - const bool first = i03 == 0 && i02 == 0; - const bool last = i03 == ne03 - 1 && i02 == ne02 - 1; + const uint32_t buf_offset = buf_sz * (i03 * ne02 + i02); - vk::Semaphore s_x = ggml_vk_create_semaphore(vk_compute_queue); - vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_compute_queue); + vk::Semaphore s_x = ggml_vk_create_semaphore(vk_device.compute_queue); + vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); // copy src0 to device - if (first) { - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], {}, { s_x })); - } else { - // Wait for previous matmul to be done before writing to the input buffers again - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_transfer_queues[0], { s_it_x }, { s_x })); - } + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, buf_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); - ggml_vk_submit(vk_transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); if (nb10 == sizeof(float)) { // Contiguous, avoid overhead from queueing many kernel runs @@ -1970,31 +1969,12 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, const int64_t i12 = i02%ne12; const int i1 = i13*ne12*ne11 + i12*ne11; - // cl_int x_offset = 0; - // cl_int y_offset = i1*ne10; - // cl_int d_offset = 0; - - // size_t global = ne00 * ne01; - // cl_int ky = ne10; - // CL_CHECK(clSetKernelArg(mul_f32_cl, 0, sizeof(cl_mem), &d_X)); - // CL_CHECK(clSetKernelArg(mul_f32_cl, 1, sizeof(cl_int), &x_offset)); - // CL_CHECK(clSetKernelArg(mul_f32_cl, 2, sizeof(cl_mem), &d_Y)); - // CL_CHECK(clSetKernelArg(mul_f32_cl, 3, sizeof(cl_int), &y_offset)); - // CL_CHECK(clSetKernelArg(mul_f32_cl, 4, sizeof(cl_mem), &d_D)); - // CL_CHECK(clSetKernelArg(mul_f32_cl, 5, sizeof(cl_int), &d_offset)); - // CL_CHECK(clSetKernelArg(mul_f32_cl, 6, sizeof(cl_int), &ky)); - // CL_CHECK(clEnqueueNDRangeKernel(queue, mul_f32_cl, 1, NULL, &global, NULL, 1, &ev, NULL)); const std::vector pc = { (int)ne00, (int)ne01, (int)ne00, (int)ne00, (int)ne00, 0, (int)(i1 * ne10), 0 }; - vk_submission s = ggml_vk_begin_submission(vk_compute_queue); - ggml_vk_sync_buffers(s.buffer, { d_X, d_Y }, vk_compute_queue, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { d_D }, vk_compute_queue, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_f32, {d_X, d_Y, d_D}, sizeof(int) * pc.size(), pc.data(), { (uint32_t)ne00, (uint32_t)ne01, 1}); - if (!last) { - s_it_x = ggml_vk_create_semaphore(vk_compute_queue); - ggml_vk_end_submission(s, { s_x }, { s_mm, s_it_x }); - } else { - ggml_vk_end_submission(s, { s_x }, { s_mm }); - } + vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_f32, { { d_X, buf_offset, buf_sz }, { d_Y, 0, (uint32_t) d_Y.size }, { d_D, buf_offset, buf_sz } }, sizeof(int) * pc.size(), pc.data(), { (uint32_t)ne00, (uint32_t)ne01, 1}); + ggml_vk_end_submission(s, { s_x }, { s_mm }); compute_seqs.push_back({ s }); } else { GGML_ASSERT(false); @@ -2004,50 +1984,32 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, const int64_t i11 = i01%ne11; const int i1 = i13*ne12*ne11 + i12*ne11 + i11; - // cl_int x_offset = i01*ne00; - // cl_int y_offset = i1*ne10; - // cl_int d_offset = i01*ne00; - - // // compute - // size_t global = ne00; - // cl_int ky = ne10; - // CL_CHECK(clSetKernelArg(mul_f32_cl, 0, sizeof(cl_mem), &d_X)); - // CL_CHECK(clSetKernelArg(mul_f32_cl, 1, sizeof(cl_int), &x_offset)); - // CL_CHECK(clSetKernelArg(mul_f32_cl, 2, sizeof(cl_mem), &d_Y)); - // CL_CHECK(clSetKernelArg(mul_f32_cl, 3, sizeof(cl_int), &y_offset)); - // CL_CHECK(clSetKernelArg(mul_f32_cl, 4, sizeof(cl_mem), &d_D)); - // CL_CHECK(clSetKernelArg(mul_f32_cl, 5, sizeof(cl_int), &d_offset)); - // CL_CHECK(clSetKernelArg(mul_f32_cl, 6, sizeof(cl_int), &ky)); - // CL_CHECK(clEnqueueNDRangeKernel(queue, mul_f32_cl, 1, NULL, &global, NULL, 1, &ev, NULL)); const std::vector pc = { (int)ne00, 1, (int)ne00, (int)ne00, (int)ne00, (int)(i01 * ne00), (int)(i1 * ne10), (int)(i01*ne00) }; - vk_submission s = ggml_vk_begin_submission(vk_compute_queue); - ggml_vk_sync_buffers(s.buffer, { d_X, d_Y }, vk_compute_queue, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { d_D }, vk_compute_queue, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_f32, {d_X, d_Y, d_D}, sizeof(int) * pc.size(), pc.data(), { (uint32_t)ne00, 1, 1}); - if (!last) { - s_it_x = ggml_vk_create_semaphore(vk_compute_queue); - ggml_vk_end_submission(s, { s_x }, { s_mm, s_it_x }); - } else { - ggml_vk_end_submission(s, { s_x }, { s_mm }); - } + vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_f32, { { d_X, buf_offset, buf_sz }, { d_Y, 0, (uint32_t) d_Y.size }, { d_D, buf_offset, buf_sz } }, sizeof(int) * pc.size(), pc.data(), { (uint32_t)ne00, 1, 1}); + ggml_vk_end_submission(s, { s_x }, { s_mm }); compute_seqs.push_back({ s }); } } // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - transfer_1_seqs.push_back(ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * ne00 * ne01, vk_transfer_queues[1], { s_mm }, {})); + transfer_1_seqs.push_back(ggml_vk_buffer_read_async(&d_D, buf_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { s_mm }, {})); - ggml_vk_submit(vk_compute_queue, compute_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); } } - vk_transfer_queues[1].queue.waitIdle(); + vk_device.transfer_queues[1].queue.waitIdle(); + + ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); + ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + ggml_vk_queue_cleanup(vk_device.compute_queue); - ggml_vk_queue_cleanup(vk_transfer_queues[0]); - ggml_vk_queue_cleanup(vk_transfer_queues[1]); - ggml_vk_queue_cleanup(vk_compute_queue); + ggml_vk_pipeline_cleanup(vk_pipeline_mul_f32); ggml_vk_pool_free(d_X); ggml_vk_pool_free(d_D); @@ -2078,10 +2040,10 @@ void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { tensor->data = data; // copy tensor to device - seqs.push_back(ggml_vk_h2d_tensor_2d(&dst, 0, tensor, 0, 0, vk_transfer_queues[0], {}, {})); + seqs.push_back(ggml_vk_h2d_tensor_2d(&dst, 0, tensor, 0, 0, vk_device.transfer_queues[0], {}, {})); - ggml_vk_submit(vk_transfer_queues[0], seqs, VK_NULL_HANDLE); - vk_transfer_queues[0].queue.waitIdle(); + ggml_vk_submit(vk_device.transfer_queues[0], seqs, VK_NULL_HANDLE); + vk_device.transfer_queues[0].queue.waitIdle(); tensor->data = malloc(sizeof(vk_buffer)); *(vk_buffer*) tensor->data = dst; @@ -2105,9 +2067,9 @@ void ggml_vk_test_transfer(size_t ne) { auto begin = std::chrono::high_resolution_clock::now(); - ggml_vk_buffer_write(&buffer, 0, x, sizeof(float) * ne, vk_transfer_queues[0]); + ggml_vk_buffer_write(&buffer, 0, x, sizeof(float) * ne, vk_device.transfer_queues[0]); - vk_transfer_queues[0].queue.waitIdle(); + vk_device.transfer_queues[0].queue.waitIdle(); auto end = std::chrono::high_resolution_clock::now(); @@ -2115,7 +2077,7 @@ void ggml_vk_test_transfer(size_t ne) { begin = std::chrono::high_resolution_clock::now(); - ggml_vk_buffer_read(&buffer, 0, y, sizeof(float) * ne, vk_transfer_queues[1]); + ggml_vk_buffer_read(&buffer, 0, y, sizeof(float) * ne, vk_device.transfer_queues[1]); end = std::chrono::high_resolution_clock::now(); @@ -2180,28 +2142,28 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp y[i] = rand() / (float)RAND_MAX; } - seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_X, 0, x, sizeof(float) * k, sizeof(float) * k, m, sizeof(float) * p->align, vk_transfer_queues[0], {}, {})); - seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_Y, 0, y, sizeof(float) * k, sizeof(float) * k, n, sizeof(float) * p->align, vk_transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_X, 0, x, sizeof(float) * k, sizeof(float) * k, m, sizeof(float) * p->align, vk_device.transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_Y, 0, y, sizeof(float) * k, sizeof(float) * k, n, sizeof(float) * p->align, vk_device.transfer_queues[0], {}, {})); - ggml_vk_submit(vk_transfer_queues[0], seq, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[0], seq, VK_NULL_HANDLE); // Wait for transfers to finish - vk_transfer_queues[0].queue.waitIdle(); + vk_device.transfer_queues[0].queue.waitIdle(); auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, d_X, d_Y, d_D, m, n, k, kpad, kpad, m, split_k, vk_compute_queue, {}, {})); + seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), m, n, k, kpad, kpad, m, split_k, vk_device.compute_queue, {}, {})); } - ggml_vk_submit(vk_compute_queue, seq, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); - vk_compute_queue.queue.waitIdle(); + vk_device.compute_queue.queue.waitIdle(); auto end = std::chrono::high_resolution_clock::now(); // copy dst to host - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0]); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queues[0]); float * d_chk = (float *) malloc(sizeof(float) * d_ne); @@ -2223,9 +2185,9 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp free(d_chk); - ggml_vk_queue_cleanup(vk_transfer_queues[0]); - ggml_vk_queue_cleanup(vk_transfer_queues[1]); - ggml_vk_queue_cleanup(vk_compute_queue); + ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); + ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + ggml_vk_queue_cleanup(vk_device.compute_queue); ggml_vk_pool_free(d_X); ggml_vk_pool_free(d_Y); @@ -2240,7 +2202,7 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp #ifdef VK_DEBUG std::cerr << "ggml_vk_test_matmul_f16(" << m << ", " << n << ", " << k << ", " << num_it << ", " << split_k << ", " << shader_size << ")" << std::endl; #endif - if (!vk_fp16_support) { + if (!vk_device.fp16) { return; } const size_t x_ne = m * k; @@ -2284,28 +2246,28 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp y[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); } - seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, sizeof(ggml_fp16_t) * p->align, vk_transfer_queues[0], {}, {})); - seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_Y, 0, y, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, n, sizeof(ggml_fp16_t) * p->align, vk_transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, sizeof(ggml_fp16_t) * p->align, vk_device.transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_Y, 0, y, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, n, sizeof(ggml_fp16_t) * p->align, vk_device.transfer_queues[0], {}, {})); - ggml_vk_submit(vk_transfer_queues[0], seq, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[0], seq, VK_NULL_HANDLE); // Wait for transfers to finish - vk_transfer_queues[0].queue.waitIdle(); + vk_device.transfer_queues[0].queue.waitIdle(); auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, d_X, d_Y, d_D, m, n, k, kpad, kpad, m, split_k, vk_compute_queue, {}, {})); + seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), m, n, k, kpad, kpad, m, split_k, vk_device.compute_queue, {}, {})); } - ggml_vk_submit(vk_compute_queue, seq, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); - vk_compute_queue.queue.waitIdle(); + vk_device.compute_queue.queue.waitIdle(); auto end = std::chrono::high_resolution_clock::now(); // copy dst to host - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_transfer_queues[0]); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queues[0]); float * fx = (float *) malloc(sizeof(float) * x_ne); float * fy = (float *) malloc(sizeof(float) * y_ne); @@ -2334,9 +2296,9 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp free(fy); free(d_chk); - ggml_vk_queue_cleanup(vk_transfer_queues[0]); - ggml_vk_queue_cleanup(vk_transfer_queues[1]); - ggml_vk_queue_cleanup(vk_compute_queue); + ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); + ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + ggml_vk_queue_cleanup(vk_device.compute_queue); ggml_vk_pool_free(d_X); ggml_vk_pool_free(d_Y); @@ -2367,19 +2329,19 @@ void ggml_vk_test_buffer_write_zeropad(size_t m, size_t k, size_t align) { x[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); } - seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, sizeof(ggml_fp16_t) * align, vk_transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, sizeof(ggml_fp16_t) * align, vk_device.transfer_queues[0], {}, {})); - ggml_vk_submit(vk_transfer_queues[0], seq, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[0], seq, VK_NULL_HANDLE); - ggml_vk_buffer_write(&d_X2, 0, x, sizeof(ggml_fp16_t) * k * m, vk_transfer_queues[0]); + ggml_vk_buffer_write(&d_X2, 0, x, sizeof(ggml_fp16_t) * k * m, vk_device.transfer_queues[0]); - vk_transfer_queues[0].queue.waitIdle(); + vk_device.transfer_queues[0].queue.waitIdle(); ggml_fp16_t * x_chk = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * kpad * m); ggml_fp16_t * x_chk2 = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * k * m); - ggml_vk_buffer_read(&d_X, 0, x_chk, sizeof(ggml_fp16_t) * kpad * m, vk_transfer_queues[0]); - ggml_vk_buffer_read(&d_X2, 0, x_chk2, sizeof(ggml_fp16_t) * k * m, vk_transfer_queues[0]); + ggml_vk_buffer_read(&d_X, 0, x_chk, sizeof(ggml_fp16_t) * kpad * m, vk_device.transfer_queues[0]); + ggml_vk_buffer_read(&d_X2, 0, x_chk2, sizeof(ggml_fp16_t) * k * m, vk_device.transfer_queues[0]); double avg_err_async = 0.0; double avg_err_sync = 0.0; diff --git a/vk_shaders/dequant_mul_mat_vec_f16.glsl b/vk_shaders/dequant_mul_mat_vec_f16.glsl new file mode 100644 index 0000000000000..f5199b02c9137 --- /dev/null +++ b/vk_shaders/dequant_mul_mat_vec_f16.glsl @@ -0,0 +1,59 @@ +#version 450 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require + +#define QUANT_K 32 +#define QUANT_R 2 +#define BLOCK_SIZE 32 + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { float16_t x[]; }; +layout (binding = 1) readonly buffer B { float y[]; }; +layout (binding = 2) writeonly buffer D { float dst[]; }; + +layout (push_constant) uniform parameter +{ + int ncols; +} p; + +shared float tmp[BLOCK_SIZE]; + +void main() { + const int block_size = int(gl_WorkGroupSize.x); + const int row = int(gl_WorkGroupID.x); + const int tid = int(gl_LocalInvocationID.x); + + const int y_offset = QUANT_K/2; + + tmp[tid] = 0; + + [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { + const int col = i*block_size + 2*tid; + const int ib = (row*p.ncols + col)/QUANT_K; // block index + const int iqs = (col%QUANT_K)/QUANT_R; // quant index + const int iybs = col - col%QUANT_K; // y block start index + + // dequantize + float v0 = float(x[ib + 0]); + float v1 = float(x[ib + 1]); + + // matrix multiplication + tmp[tid] += v0 * y[iybs + iqs + 0]; + tmp[tid] += v1 * y[iybs + iqs + y_offset]; + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s=block_size/2; s>0; s>>=1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + dst[row] = tmp[0]; + } +} From 69554cee9e8de9305147aa4f84cf515f73036301 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 25 Jul 2023 07:01:02 +0200 Subject: [PATCH 056/142] Add fallback for devices only supporting one DescriptorSet per DescriptorPool --- ggml-vulkan.cpp | 67 +++++++++++++++++++++++++++++++++++++++++-------- 1 file changed, 57 insertions(+), 10 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 9a9fb3a2e115e..957da19cf6e45 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -40,6 +40,10 @@ #define VK_VENDOR_ID_INTEL 0x8086 #define VK_VENDOR_ID_NVIDIA 0x10de +#define VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN 0 +#define VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI 1 +#define VK_DEVICE_DESCRIPTOR_POOL_MODE_SINGLE 2 + struct vk_buffer { vk::Buffer buffer; vk::DeviceMemory device_memory; @@ -61,7 +65,7 @@ struct vk_subbuffer { struct vk_pipeline { std::string name; vk::DescriptorSetLayout dsl; - vk::DescriptorPool descriptor_pool; + std::vector descriptor_pools; std::vector descriptor_sets; uint32_t descriptor_set_index; vk::PipelineLayout layout; @@ -117,6 +121,7 @@ struct vk_device { uint32_t vendor_id; vk_queue compute_queue; vk_queue transfer_queues[VK_TRANSFER_QUEUE_COUNT]; + uint32_t descriptor_set_mode; }; typedef std::vector vk_sequence; @@ -189,9 +194,35 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s descriptor_set_layout_create_info.setPNext(&dslbfci); pipeline.dsl = vk_device.device.createDescriptorSetLayout(descriptor_set_layout_create_info); - vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline.parameter_count); - vk::DescriptorPoolCreateInfo descriptor_pool_create_info({}, 128, descriptor_pool_size); - pipeline.descriptor_pool = vk_device.device.createDescriptorPool(descriptor_pool_create_info); + // Check if device supports multiple descriptors per pool + if (vk_device.descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN) { + const uint32_t alloc_count = 2; + + // Try allocating multiple sets from one pool + // This fails on AMD for some reason, so add a fall back to allocating one pool per set + vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline.parameter_count); + vk::DescriptorPoolCreateInfo descriptor_pool_create_info({}, alloc_count, descriptor_pool_size); + vk::DescriptorPool pool = vk_device.device.createDescriptorPool(descriptor_pool_create_info); + + std::vector layouts(alloc_count); + for (uint32_t i = 0; i < alloc_count; i++) { + layouts[i] = pipeline.dsl; + } + try { + vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pool, alloc_count, layouts.data()); + std::vector sets = vk_device.device.allocateDescriptorSets(descriptor_set_alloc_info); + } catch(vk::OutOfPoolMemoryError const&) { + vk_device.descriptor_set_mode = VK_DEVICE_DESCRIPTOR_POOL_MODE_SINGLE; + } + + vk_device.device.destroyDescriptorPool(pool); + } + + if (vk_device.descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI) { + vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline.parameter_count); + vk::DescriptorPoolCreateInfo descriptor_pool_create_info({}, 128, descriptor_pool_size); + pipeline.descriptor_pools.push_back(vk_device.device.createDescriptorPool(descriptor_pool_create_info)); + } pipeline.descriptor_set_index = 0; @@ -237,13 +268,27 @@ static void ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline& pipeline, uin return; } - std::vector layouts(n); - for (uint32_t i = 0; i < n; i++) { - layouts[i] = pipeline.dsl; + if (vk_device.descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI) { + const uint32_t alloc_count = n - pipeline.descriptor_sets.size(); + + std::vector layouts(alloc_count); + for (uint32_t i = 0; i < alloc_count; i++) { + layouts[i] = pipeline.dsl; + } + vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pipeline.descriptor_pools[0], alloc_count, layouts.data()); + std::vector sets = vk_device.device.allocateDescriptorSets(descriptor_set_alloc_info); + pipeline.descriptor_sets.insert(pipeline.descriptor_sets.end(), sets.begin(), sets.end()); + } else { + for (uint32_t i = pipeline.descriptor_sets.size(); i < n; i++) { + vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline.parameter_count); + vk::DescriptorPoolCreateInfo descriptor_pool_create_info({}, 1, descriptor_pool_size); + pipeline.descriptor_pools.push_back(vk_device.device.createDescriptorPool(descriptor_pool_create_info)); + + vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pipeline.descriptor_pools[i], 1, &pipeline.dsl); + std::vector sets = vk_device.device.allocateDescriptorSets(descriptor_set_alloc_info); + pipeline.descriptor_sets.push_back(sets[0]); + } } - vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pipeline.descriptor_pool, n - pipeline.descriptor_sets.size(), layouts.data()); - std::vector sets = vk_device.device.allocateDescriptorSets(descriptor_set_alloc_info); - pipeline.descriptor_sets.insert(pipeline.descriptor_sets.end(), sets.begin(), sets.end()); } static void ggml_vk_pipeline_cleanup(vk_pipeline& pipeline) { @@ -667,6 +712,8 @@ void ggml_vk_init(void) { device_create_info.setPNext(&device_features2); vk_device.device = vk_device.physical_device.createDevice(device_create_info); + vk_device.descriptor_set_mode = VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN; + vk_pinned_workspace = nullptr; vk_pinned_workspace_size = 0; From 1b2ec1aa720474c05c975b8b0471a389c42ffb29 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 25 Jul 2023 19:01:28 +0200 Subject: [PATCH 057/142] Move to graph function similar to CUDA implementation --- ggml-vulkan.cpp | 59 +++++++++++++++++++++++++++++++++++++------------ ggml-vulkan.h | 5 +---- ggml.c | 21 ++++++------------ 3 files changed, 53 insertions(+), 32 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 957da19cf6e45..6b3a923ab5420 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -44,6 +44,8 @@ #define VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI 1 #define VK_DEVICE_DESCRIPTOR_POOL_MODE_SINGLE 2 +typedef void (*ggml_vk_func_t)(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst); + struct vk_buffer { vk::Buffer buffer; vk::DeviceMemory device_memory; @@ -1889,7 +1891,7 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * } -bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { +static bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { const int64_t ne10 = src1->ne[0]; const int64_t ne0 = dst->ne[0]; @@ -1906,7 +1908,7 @@ bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tens return false; } -bool ggml_vk_mul_mat_use_f16(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * /* dst */) { +static bool ggml_vk_mul_mat_use_f16(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * /* dst */) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat_use_f16(" << src0 << ", " << src1 << ")" << std::endl; #endif @@ -1929,7 +1931,7 @@ bool ggml_vk_mul_mat_use_f16(const struct ggml_tensor * src0, const struct ggml_ return mul_mat_f16_transfer < mul_mat_q_transfer; } -void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { +static void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat(" << src0 << ", " << src1 << ", " << dst << ")" << std::endl; #endif @@ -1954,16 +1956,6 @@ void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * } } -size_t ggml_vk_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_get_wsize(" << src0 << ", " << src1 << ", " << dst << ")" << std::endl; -#endif - if (ggml_vk_mul_mat_use_f16(src0, src1, dst)) { - return ggml_nelements(src1) * sizeof(ggml_fp16_t); - } - return 0; -} - static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_f32((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; @@ -2062,7 +2054,7 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_vk_pool_free(d_D); } -void ggml_vk_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { +static void ggml_vk_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { GGML_ASSERT(src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32); ggml_vk_mul_f32(src0, src1, dst); } @@ -2097,6 +2089,45 @@ void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); } +bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor){ + ggml_vk_func_t func; + const bool any_on_device = tensor->backend == GGML_BACKEND_GPU + || (tensor->src[0] != nullptr && (tensor->src[0]->backend == GGML_BACKEND_GPU || tensor->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) + || (tensor->src[1] != nullptr && tensor->src[1]->backend == GGML_BACKEND_GPU); + + switch (tensor->op) { + case GGML_OP_MUL: + if (!any_on_device) { + return false; + } + + func = ggml_vk_mul; + + break; + case GGML_OP_MUL_MAT: + if (!any_on_device && !ggml_vk_can_mul_mat(tensor->src[0], tensor->src[1], tensor)) { + return false; + } + + func = ggml_vk_mul_mat; + + break; + default: + return false; + } + + if (params->ith != 0) { + return true; + } + if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) { + return true; + } + + func(tensor->src[0], tensor->src[1], tensor); + + return true; +} + #ifdef VK_CHK_KERNEL void ggml_vk_test_transfer(size_t ne) { #ifdef VK_DEBUG diff --git a/ggml-vulkan.h b/ggml-vulkan.h index e5880f44818a5..79baea6de85d4 100644 --- a/ggml-vulkan.h +++ b/ggml-vulkan.h @@ -8,10 +8,7 @@ extern "C" { void ggml_vk_init(void); -void ggml_vk_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); -bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); -size_t ggml_vk_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); -void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst); +bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor); void * ggml_vk_host_malloc(size_t size); void ggml_vk_host_free(void * ptr); diff --git a/ggml.c b/ggml.c index 413425135561e..d0a65295c0358 100644 --- a/ggml.c +++ b/ggml.c @@ -9197,13 +9197,6 @@ static void ggml_compute_forward_mul_f32( } return; } -#elif defined(GGML_USE_VULKAN) - if (src1->backend == GGML_BACKEND_GPU) { - if (ith == 0) { - ggml_vk_mul(src0, src1, dst); - } - return; - } #endif const int64_t nr = ggml_nrows(src0); @@ -10749,13 +10742,6 @@ static void ggml_compute_forward_mul_mat( } return; } -#elif defined(GGML_USE_VULKAN) - if (ggml_vk_can_mul_mat(src0, src1, dst)) { - if (params->ith == 0 && params->type == GGML_TASK_COMPUTE) { - ggml_vk_mul_mat(src0, src1, dst); - } - return; - } #endif #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) @@ -14887,6 +14873,13 @@ static void ggml_compute_forward(struct ggml_compute_params * params, struct ggm } GGML_ASSERT(tensor->src[0] == NULL || tensor->src[0]->backend == GGML_BACKEND_CPU); GGML_ASSERT(tensor->src[1] == NULL || tensor->src[1]->backend == GGML_BACKEND_CPU); +#elif defined(GGML_USE_VULKAN) + bool skip_cpu = ggml_vk_compute_forward(params, tensor); + if (skip_cpu) { + return; + } + GGML_ASSERT(tensor->src[0] == NULL || tensor->src[0]->backend == GGML_BACKEND_CPU); + GGML_ASSERT(tensor->src[1] == NULL || tensor->src[1]->backend == GGML_BACKEND_CPU); #endif // GGML_USE_CUBLAS switch (tensor->op) { From d0bd120814b7f283595c7fa74ab45f35fa8604af Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 28 Jul 2023 05:41:47 +0200 Subject: [PATCH 058/142] Use F16 kernel for most things, replace q_f32 with mul_mat_q_f16 function --- Makefile | 3 + ggml-vulkan.cpp | 545 ++++++++++++++++------- vk_shaders/dequant_mul_mat_vec_f16.glsl | 12 +- vk_shaders/dequant_mul_mat_vec_q4_0.glsl | 14 +- vk_shaders/dequant_q4_0.glsl | 8 +- vk_shaders/f32_to_f16.glsl | 25 ++ vk_shaders/matmul_f16_f32.glsl | 145 ++++++ vk_shaders/matmul_f16_f32_aligned.glsl | 149 +++++++ vk_shaders/matmul_f32_q4_0.glsl | 169 +++++++ 9 files changed, 889 insertions(+), 181 deletions(-) create mode 100644 vk_shaders/f32_to_f16.glsl create mode 100644 vk_shaders/matmul_f16_f32.glsl create mode 100644 vk_shaders/matmul_f16_f32_aligned.glsl create mode 100644 vk_shaders/matmul_f32_q4_0.glsl diff --git a/Makefile b/Makefile index 2015ddc1b29d4..38379bd1faa07 100644 --- a/Makefile +++ b/Makefile @@ -236,8 +236,11 @@ ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f32_aligned.glsl -o vk_shaders/matmul_f32_aligned.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16.glsl -o vk_shaders/matmul_f16.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16_aligned.glsl -o vk_shaders/matmul_f16_aligned.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16_f32.glsl -o vk_shaders/matmul_f16_f32.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16_f32_aligned.glsl -o vk_shaders/matmul_f16_f32_aligned.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_split_k_reduce.glsl -o vk_shaders/matmul_split_k_reduce.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/f16_to_f32.glsl -o vk_shaders/f16_to_f32.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/f32_to_f16.glsl -o vk_shaders/f32_to_f16.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_q4_0.glsl -o vk_shaders/dequant_q4_0.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_f16.glsl -o vk_shaders/dequant_mul_mat_vec_f16.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_q4_0.glsl -o vk_shaders/dequant_mul_mat_vec_q4_0.spv & \ diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 6b3a923ab5420..f5f2d1a3bc259 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -2,7 +2,6 @@ #ifdef VK_CHK_KERNEL #include -#include #include #endif @@ -21,6 +20,7 @@ #include #include +#include #include #include #include @@ -130,12 +130,16 @@ typedef std::vector vk_sequence; vk::Instance vk_instance; vk_device vk_device; -vk_pipeline vk_pipeline_matmul_f32_l, vk_pipeline_matmul_f32_m, vk_pipeline_matmul_f32_s, vk_pipeline_matmul_f16_l, vk_pipeline_matmul_f16_m, vk_pipeline_matmul_f16_s; -vk_pipeline vk_pipeline_matmul_f32_aligned_l, vk_pipeline_matmul_f32_aligned_m, vk_pipeline_matmul_f32_aligned_s, vk_pipeline_matmul_f16_aligned_l, vk_pipeline_matmul_f16_aligned_m, vk_pipeline_matmul_f16_aligned_s; +vk_pipeline vk_pipeline_matmul_f32_l, vk_pipeline_matmul_f32_m, vk_pipeline_matmul_f32_s; +vk_pipeline vk_pipeline_matmul_f32_aligned_l, vk_pipeline_matmul_f32_aligned_m, vk_pipeline_matmul_f32_aligned_s; +vk_pipeline vk_pipeline_matmul_f16_l, vk_pipeline_matmul_f16_m, vk_pipeline_matmul_f16_s; +vk_pipeline vk_pipeline_matmul_f16_aligned_l, vk_pipeline_matmul_f16_aligned_m, vk_pipeline_matmul_f16_aligned_s; +vk_pipeline vk_pipeline_matmul_f16_f32_l, vk_pipeline_matmul_f16_f32_m, vk_pipeline_matmul_f16_f32_s; +vk_pipeline vk_pipeline_matmul_f16_f32_aligned_l, vk_pipeline_matmul_f16_f32_aligned_m, vk_pipeline_matmul_f16_f32_aligned_s; vk_pipeline vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_dequant_mul_mat_vec_f16, vk_pipeline_dequant_mul_mat_vec_q4_0; vk_pipeline vk_pipeline_mul_f32; -vk_pipeline vk_pipeline_f16_to_f32, vk_pipeline_dequant_q4_0; +vk_pipeline vk_pipeline_f32_to_f16, vk_pipeline_dequant_q4_0; void * vk_pinned_workspace; size_t vk_pinned_workspace_size; @@ -322,18 +326,18 @@ static vk::CommandBuffer ggml_vk_create_cmd_buffer(vk_queue& q) { return buf; } -static vk_submission ggml_vk_create_submission(vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_submission ggml_vk_create_submission(vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_submission()" << std::endl; #endif vk_submission s; s.buffer = ggml_vk_create_cmd_buffer(q); - s.wait_semaphores = wait_semaphores; - s.signal_semaphores = signal_semaphores; + s.wait_semaphores = std::move(wait_semaphores); + s.signal_semaphores = std::move(signal_semaphores); return s; } -static vk_sequence ggml_vk_create_sequence_1(vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_create_sequence_1(vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_sequence_1()" << std::endl; #endif @@ -585,6 +589,7 @@ void ggml_vk_test_transfer(size_t ne); void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); void ggml_vk_test_buffer_write_zeropad(size_t m, size_t k, size_t align); +void ggml_vk_test_f32_to_f16(size_t m, size_t k); void ggml_vk_init(void) { #ifdef VK_DEBUG @@ -738,10 +743,17 @@ void ggml_vk_init(void) { vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); } vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); - vk_pipeline_f16_to_f32 = ggml_vk_create_pipeline("vk_shaders/f16_to_f32.spv", "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); + vk_pipeline_f32_to_f16 = ggml_vk_create_pipeline("vk_shaders/f32_to_f16.spv", "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); vk_pipeline_dequant_mul_mat_vec_f16 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_f16.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); @@ -766,6 +778,11 @@ void ggml_vk_init(void) { ggml_vk_test_buffer_write_zeropad(233, 97, 1); ggml_vk_test_buffer_write_zeropad(256, 128, 1); + ggml_vk_test_f32_to_f16(214, 256); + ggml_vk_test_f32_to_f16(256, 2048); + ggml_vk_test_f32_to_f16(24, 1000); + ggml_vk_test_f32_to_f16(24, 24); + int step = 16; for (size_t m = step; m < 64; m += step) { ggml_vk_test_transfer(1024 * 1024 * m); @@ -809,23 +826,15 @@ void ggml_vk_init(void) { #endif } -static vk_pipeline* ggml_vk_get_to_fp32(ggml_type type) { +static vk_pipeline* ggml_vk_get_to_fp16(ggml_type type) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_get_to_fp32()" << std::endl; + std::cerr << "ggml_vk_get_to_fp16()" << std::endl; #endif switch (type) { case GGML_TYPE_Q4_0: return &vk_pipeline_dequant_q4_0; - // case GGML_TYPE_Q4_1: - // return &dequantize_row_q4_1_cl; - // case GGML_TYPE_Q5_0: - // return &dequantize_row_q5_0_cl; - // case GGML_TYPE_Q5_1: - // return &dequantize_row_q5_1_cl; - // case GGML_TYPE_Q8_0: - // return &dequantize_row_q8_0_cl; - case GGML_TYPE_F16: - return &vk_pipeline_f16_to_f32; + case GGML_TYPE_F32: + return &vk_pipeline_f32_to_f16; default: return nullptr; } @@ -838,26 +847,8 @@ static vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type) { switch (type) { case GGML_TYPE_Q4_0: return &vk_pipeline_dequant_mul_mat_vec_q4_0; - // case GGML_TYPE_Q4_1: - // return &dequantize_mul_mat_vec_q4_1_cl; - // case GGML_TYPE_Q5_0: - // return &dequantize_mul_mat_vec_q5_0_cl; - // case GGML_TYPE_Q5_1: - // return &dequantize_mul_mat_vec_q5_1_cl; - // case GGML_TYPE_Q8_0: - // return &dequantize_mul_mat_vec_q8_0_cl; case GGML_TYPE_F16: return &vk_pipeline_dequant_mul_mat_vec_f16; - // case GGML_TYPE_Q2_K: - // return &dequantize_mul_mat_vec_q2_K_cl; - // case GGML_TYPE_Q3_K: - // return &dequantize_mul_mat_vec_q3_K_cl; - // case GGML_TYPE_Q4_K: - // return &dequantize_mul_mat_vec_q4_K_cl; - // case GGML_TYPE_Q5_K: - // return &dequantize_mul_mat_vec_q5_K_cl; - // case GGML_TYPE_Q6_K: - // return &dequantize_mul_mat_vec_q6_K_cl; default: return nullptr; } @@ -1019,6 +1010,7 @@ static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, s std::vector descriptor_buffer_infos; std::vector write_descriptor_sets; vk::DescriptorSet& descriptor_set = pipeline.descriptor_sets[pipeline.descriptor_set_index++]; + GGML_ASSERT(descriptor_set != nullptr); for (uint32_t i = 0; i < pipeline.parameter_count; i++) { descriptor_buffer_infos.push_back({buffers[i].buffer.buffer, buffers[i].offset, buffers[i].size}); } @@ -1038,14 +1030,14 @@ static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, s s.buffer.dispatch(wg0, wg1, wg2); } -static void ggml_vk_end_submission(vk_submission& s, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static void ggml_vk_end_submission(vk_submission& s, std::vector wait_semaphores, std::vector signal_semaphores) { s.buffer.end(); - s.wait_semaphores = wait_semaphores; - s.signal_semaphores = signal_semaphores; + s.wait_semaphores = std::move(wait_semaphores); + s.signal_semaphores = std::move(signal_semaphores); } -static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; #endif @@ -1143,7 +1135,7 @@ static inline size_t ggml_vk_align_size(size_t width, size_t align) { return CEIL_DIV(width, align) * align; } -static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, size_t align, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, size_t align, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async_zeropad(" << offset << ", " << spitch << ", " << width << ", " << height << ", " << align << ")" << std::endl; #endif @@ -1238,7 +1230,7 @@ static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t return { s }; } -static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; #endif @@ -1252,7 +1244,7 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1, q); } -static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_read_async(" << size << ")" << std::endl; #endif @@ -1360,7 +1352,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } } -static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_h2d_tensor_2d()" << std::endl; #endif @@ -1393,14 +1385,87 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const st } } +static vk_sequence ggml_vk_h2d_tensor_2d_f32_to_f16(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_h2d_tensor_2d()" << std::endl; +#endif + GGML_ASSERT(src->type == GGML_TYPE_F32); + + const uint64_t ne0 = src->ne[0]; + const uint64_t ne1 = src->ne[1]; + const uint64_t nb0 = src->nb[0]; + const uint64_t nb1 = src->nb[1]; + const uint64_t nb2 = src->nb[2]; + const uint64_t nb3 = src->nb[3]; + const enum ggml_type type = src->type; + const size_t ts = ggml_type_size(type); + const size_t bs = ggml_blck_size(type); + const size_t row_length = ts*ne0/bs; + + const uint32_t copy_size = sizeof(ggml_fp16_t) * ne0 * ne1; + + if (dst->sb_write == nullptr) { + dst->sb_write = new vk_buffer; + *dst->sb_write = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); + } + + ggml_fp16_t * tmp = (ggml_fp16_t *) ((uint8_t *) dst->sb_write->ptr + offset); + const uint8_t * x = (const uint8_t *) src->data + i2*nb2 + i3*nb3; + if (nb0 == ts && nb1 == row_length) { + ggml_fp32_to_fp16_row((const float *) x, tmp, ne0*ne1); + + vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); + + vk::BufferCopy buf_copy = { + offset, + offset, + copy_size, + }; + + s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + ggml_vk_sync_buffers(s.buffer, { { *dst, (uint32_t)offset, copy_size } }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eTransferWrite, false); + s.buffer.copyBuffer(dst->sb_write->buffer, dst->buffer, { buf_copy }); + s.buffer.end(); + + return { s }; + } + if (nb0 == ts) { + for (uint64_t i1 = 0; i1 < ne1; i1++) { + ggml_fp32_to_fp16_row((const float *) (x + i1*nb1), tmp + i1*ne0, ne0); + } + + vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); + + vk::BufferCopy buf_copy = { + offset, + offset, + copy_size, + }; + + s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + ggml_vk_sync_buffers(s.buffer, { { *dst, (uint32_t)offset, copy_size } }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eTransferWrite, false); + s.buffer.copyBuffer(dst->sb_write->buffer, dst->buffer, { buf_copy }); + s.buffer.end(); + + return { s }; + } + GGML_ASSERT(false); +} + static int ggml_vk_guess_split_k(int m, int n, int k) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_guess_split_k()" << std::endl; + std::cerr << "ggml_vk_guess_split_k()"; #endif if (k > 128 && (m < 128 || n < 128)) { +#ifdef VK_DEBUG + std::cerr << " = 4" << std::endl; +#endif return 4; } +#ifdef VK_DEBUG + std::cerr << " = 1" << std::endl; +#endif return 1; } @@ -1417,30 +1482,69 @@ static uint32_t ggml_vk_guess_matmul_pipeline_align(int m, int n) { return vk_pipeline_matmul_f32_l.align; } -static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16, int m, int n, bool aligned) { +static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16_x, bool bit16_y, int m, int n, bool aligned) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_guess_matmul_pipeline()" << std::endl; + std::cerr << "ggml_vk_guess_matmul_pipeline(" << bit16 << ", " << m << ", " << n << ", " << aligned << ")"; #endif - if (bit16) { + if (bit16_x && bit16_y) { if (m <= 32 || n <= 32) { +#ifdef VK_DEBUG + std::cerr << " S" << std::endl; +#endif return aligned ? &vk_pipeline_matmul_f16_aligned_s : &vk_pipeline_matmul_f16_s; } if (m <= 64 || n <= 64) { +#ifdef VK_DEBUG + std::cerr << " M" << std::endl; +#endif return aligned ? &vk_pipeline_matmul_f16_aligned_m : &vk_pipeline_matmul_f16_m; } +#ifdef VK_DEBUG + std::cerr << " L" << std::endl; +#endif return aligned ? &vk_pipeline_matmul_f16_aligned_l : &vk_pipeline_matmul_f16_l; } + if (bit16_x && !bit16_y) { + if (m <= 32 || n <= 32) { +#ifdef VK_DEBUG + std::cerr << " S" << std::endl; +#endif + return aligned ? &vk_pipeline_matmul_f16_f32_aligned_s : &vk_pipeline_matmul_f16_f32_s; + } + if (m <= 64 || n <= 64) { +#ifdef VK_DEBUG + std::cerr << " M" << std::endl; +#endif + return aligned ? &vk_pipeline_matmul_f16_f32_aligned_m : &vk_pipeline_matmul_f16_f32_m; + } +#ifdef VK_DEBUG + std::cerr << " L" << std::endl; +#endif + return aligned ? &vk_pipeline_matmul_f16_f32_aligned_l : &vk_pipeline_matmul_f16_f32_l; + } + if (!bit16_x && bit16_y) { + GGML_ASSERT(false); + } if (m <= 32 || n <= 32) { +#ifdef VK_DEBUG + std::cerr << " S" << std::endl; +#endif return aligned ? &vk_pipeline_matmul_f32_aligned_s : &vk_pipeline_matmul_f32_s; } if (m <= 64 || n <= 64) { +#ifdef VK_DEBUG + std::cerr << " M" << std::endl; +#endif return aligned ? &vk_pipeline_matmul_f32_aligned_m : &vk_pipeline_matmul_f32_m; } +#ifdef VK_DEBUG + std::cerr << " L" << std::endl; +#endif return aligned ? &vk_pipeline_matmul_f32_aligned_l : &vk_pipeline_matmul_f32_l; } -static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, int m, int n, int k, int stride_a, int stride_b, int stride_d, int split_k, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, int m, int n, int k, int stride_a, int stride_b, int stride_d, int split_k, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_matmul(" << m << ", " << n << ", " << k << ")" << std::endl; #endif @@ -1490,10 +1594,10 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); - vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, ne01, ne11, ne10 == kpad); + vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, false, ne01, ne11, ne10 == kpad); - const uint32_t x_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t y_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t x_sz = ggml_vk_align_size(sizeof(float) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t y_sz = ggml_vk_align_size(sizeof(float) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment); vk_buffer d_X; @@ -1608,7 +1712,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); - vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, ne01, ne11, ne10 == kpad); + vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, true, ne01, ne11, ne10 == kpad); const uint32_t x_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t y_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); @@ -1672,30 +1776,7 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr } ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - - // convert src1 to fp16 - // TODO: use multiple threads - ggml_fp16_t * const tmp = fp16_staging + (ne11 * ne10) * (i03 * ne02 + i02); - char * src1i = (char *) src1->data + i03*nb13 + i02*nb12; - if (src1_cont_rows) { - if (src1_cont_cols) { - ggml_fp32_to_fp16_row((float *) src1i, tmp, ne10*ne11); - } - else { - for (int64_t i01 = 0; i01 < ne11; i01++) { - ggml_fp32_to_fp16_row((float *) (src1i + i01*nb11), tmp + i01*ne10, ne10); - } - } - } else { - for (int64_t i01 = 0; i01 < ne11; i01++) { - for (int64_t i00 = 0; i00 < ne10; i00++) { - // very slow due to no inlining - tmp[i01*ne10 + i00] = ggml_fp32_to_fp16(*(float *) (src1i + i01*nb11 + i00*nb10)); - } - } - } - - transfer_1_seqs.push_back(ggml_vk_buffer_write_async(&d_Y, y_offset, tmp, sizeof(ggml_fp16_t) * y_ne, vk_device.transfer_queues[1], {}, { s_y })); + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d_f32_to_f16(&d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y })); // compute vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); @@ -1703,10 +1784,33 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[0], { s_mm }, {})); + float * d_chk = (float *) ggml_vk_host_malloc(sizeof(float) * d_ne); + transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d_chk, sizeof(float) * d_ne, vk_device.transfer_queues[0], { s_mm }, {})); ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); + + //DEBUG + ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + vk_device.transfer_queues[0].queue.waitIdle(); + + double err = 0.0; + + for (int i = 0; i < d_ne; i++) { + double abs_err = fabs(d[i] - d_chk[i]); + err += abs_err; + } + + err /= d_ne; + + if (err > 0.01) { + std::cerr << "ggml_vk_mul_mat_f16((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; + std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; + std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; + std::cerr << "MUL_MAT_F16 i02=" << i02 << " i03=" << i03 << " avg_err=" << err << std::endl; + } + + ggml_vk_host_free(d_chk); } } @@ -1728,9 +1832,9 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pool_free(d_D); } -static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_q_f32((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; + std::cerr << "ggml_vk_mul_mat_q_f16((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; #endif @@ -1744,8 +1848,16 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; - const ggml_type type = src0->type; - const bool mul_mat_vec = ne11 == 1; + const bool mul_mat_vec = ne11 == 1 && src0->type != GGML_TYPE_F16; + + const bool f16_f32_kernel = src1->type == GGML_TYPE_F32 && !mul_mat_vec; + + const bool qx_needs_dequant = src0->type != GGML_TYPE_F16 && !mul_mat_vec; + const bool qy_needs_dequant = src1->type != GGML_TYPE_F16 && !f16_f32_kernel; + const bool dq = qx_needs_dequant || qy_needs_dequant; + + const bool load_x = src0->backend != GGML_BACKEND_GPU; + const bool load_y = src1->backend != GGML_BACKEND_GPU; const int x_ne = ne01 * ne00; const int y_ne = ne11 * ne10; @@ -1755,114 +1867,148 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); - vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, ne01, ne11, ne10 == kpad); + vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, !f16_f32_kernel, ne01, ne11, ne10 == kpad); - const uint32_t q_sz = ggml_vk_align_size(ggml_type_size(type) * x_ne / ggml_blck_size(type), vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t x_sz = ggml_vk_align_size(sizeof(float) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t y_sz = ggml_vk_align_size(sizeof(float) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t qx_sz = ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t qy_sz = ggml_vk_align_size(ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t x_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t y_sz = ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment); - vk_buffer d_Q; - if (src0->backend == GGML_BACKEND_CPU) { - ggml_vk_pool_malloc(q_sz, &d_Q, {}); + vk_buffer d_Qx; + if (load_x) { + ggml_vk_pool_malloc(qx_sz * ne02 * ne03, &d_Qx, {}); + } else { + d_Qx = *(vk_buffer *) src0->data; + } + vk_buffer d_Qy; + if (load_y) { + ggml_vk_pool_malloc(qy_sz * ne02 * ne03, &d_Qy, {}); } else { - d_Q = *(vk_buffer *) src0->data; + d_Qy = *(vk_buffer *) src1->data; } vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; - if (!mul_mat_vec) { - ggml_vk_pool_malloc(x_sz, &d_X, {}); + if (qx_needs_dequant) { + ggml_vk_pool_malloc(x_sz * ne02 * ne03, &d_X, {}); + } else { + d_X = d_Qx; + GGML_ASSERT(qx_sz == x_sz || mul_mat_vec); // NOLINT + } + if (qy_needs_dequant) { + ggml_vk_pool_malloc(y_sz * ne02 * ne03, &d_Y, {}); + } else { + d_Y = d_Qy; + GGML_ASSERT(qy_sz == y_sz); } - ggml_vk_pool_malloc(y_sz, &d_Y, {}); - ggml_vk_pool_malloc(d_sz, &d_D, {}); + ggml_vk_pool_malloc(d_sz * ne02 * ne03, &d_D, {}); - vk_pipeline* to_fp32_vk = ggml_vk_get_to_fp32(type); - vk_pipeline* dmmv = ggml_vk_get_dequantize_mul_mat_vec(type); - GGML_ASSERT(to_fp32_vk != nullptr); + vk_pipeline* to_fp16_vk_0 = ggml_vk_get_to_fp16(src0->type); + vk_pipeline* to_fp16_vk_1 = ggml_vk_get_to_fp16(src1->type); + vk_pipeline* dmmv = ggml_vk_get_dequantize_mul_mat_vec(src0->type); + GGML_ASSERT(!qx_needs_dequant || to_fp16_vk_0 != nullptr); // NOLINT + GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr); // NOLINT GGML_ASSERT(dmmv != nullptr); std::vector compute_seqs; std::vector transfer_0_seqs; std::vector transfer_1_seqs; - const bool load_x = src0->backend != GGML_BACKEND_GPU; - // Allocate descriptor sets ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); - ggml_vk_pipeline_allocate_descriptor_sets(*to_fp32_vk, ne02 * ne03); - ggml_vk_pipeline_allocate_descriptor_sets(*dmmv, ne02 * ne03); + if (qx_needs_dequant) { + ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_0, ne02 * ne03); + } + if (qy_needs_dequant) { + ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_1, ne02 * ne03); + } + if (mul_mat_vec) { + ggml_vk_pipeline_allocate_descriptor_sets(*dmmv, ne02 * ne03); + } if (split_k > 1) { ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne02 * ne03); } for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { - const uint32_t q_offset = load_x ? q_sz * (i03 * ne02 + i02) : 0; + const uint32_t qx_offset = load_x ? qx_sz * (i03 * ne02 + i02) : 0; + const uint32_t qy_offset = load_y ? qy_sz * (i03 * ne02 + i02) : 0; const uint32_t x_offset = x_sz * (i03 * ne02 + i02); const uint32_t y_offset = y_sz * (i03 * ne02 + i02); const uint32_t d_offset = d_sz * (i03 * ne02 + i02); vk::Semaphore s_x; - vk::Semaphore s_y = ggml_vk_create_semaphore(vk_device.transfer_queues[0]); - vk::Semaphore s_q = ggml_vk_create_semaphore(vk_device.transfer_queues[0]); + vk::Semaphore s_y; + vk::Semaphore s_q; - std::vector q_semaphores; + const vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); - vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); + std::vector q_semaphores; + std::vector mm_semaphores; - // copy src0 to device if necessary if (load_x) { - s_x = ggml_vk_create_semaphore(vk_device.compute_queue); - q_semaphores.push_back(s_x); - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Q, q_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); + s_x = ggml_vk_create_semaphore(vk_device.transfer_queues[0]); + if (qx_needs_dequant) { + q_semaphores.push_back(s_x); + } else { + mm_semaphores.push_back(s_x); + } + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qx, qx_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); + } + if (load_y) { + s_y = ggml_vk_create_semaphore(vk_device.transfer_queues[1]); + if (qy_needs_dequant) { + q_semaphores.push_back(s_y); + } else { + mm_semaphores.push_back(s_y); + } + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qy, qy_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y })); } ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); - // copy src1 to device - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y })); + if (dq) { + s_q = ggml_vk_create_semaphore(vk_device.compute_queue); + vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); + if (qx_needs_dequant) { + const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; + ggml_vk_sync_buffers(s.buffer, { { d_Qx, qx_offset, qx_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { { d_X, x_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *to_fp16_vk_0, { { d_Qx, qx_offset, qx_sz }, { d_X, x_offset, x_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); + } + + if (qy_needs_dequant) { + const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; + ggml_vk_sync_buffers(s.buffer, { { d_Qy, qy_offset, qy_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { { d_Y, y_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *to_fp16_vk_1, { { d_Qy, qy_offset, qy_sz }, { d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); + } + ggml_vk_end_submission(s, std::move(q_semaphores), { s_q }); + compute_seqs.push_back({ s }); + + mm_semaphores.push_back(s_q); + } if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel - // // compute - // const size_t global = ne01 * VK_DMMV_BLOCK_SIZE; - // const size_t local = VK_DMMV_BLOCK_SIZE; - // const vk_int ncols = ne00; - // events.emplace_back(); - // VK_CHECK(vkSetKernelArg(*dmmv, 0, sizeof(vk_buffer), &d_Q)); - // VK_CHECK(vkSetKernelArg(*dmmv, 1, sizeof(float) * local, NULL)); - // VK_CHECK(vkSetKernelArg(*dmmv, 2, sizeof(vk_buffer), &d_Y)); - // VK_CHECK(vkSetKernelArg(*dmmv, 3, sizeof(vk_buffer), &d_D)); - // VK_CHECK(vkSetKernelArg(*dmmv, 4, sizeof(vk_int), &ncols)); - // VK_CHECK(vkEnqueueNDRangeKernel(queue, *dmmv, 1, NULL, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++)); - q_semaphores.push_back(s_y); + // compute const int ncols = ne00; vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_Q), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_Qx), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *dmmv, { { d_Q, q_offset, q_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz } }, sizeof(int), &ncols, { (uint32_t)ne01, 1, 1}); - ggml_vk_end_submission(s, std::move(q_semaphores), { s_mm }); - compute_seqs.push_back({ s }); - } else { // general dequantization kernel + VK matrix matrix multiplication - - // convert src0 to fp32 on device - vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); - const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_Q) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X) }, vk_device.compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *to_fp32_vk, { { d_Q, q_offset, q_sz }, { d_X, x_offset, x_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); - ggml_vk_end_submission(s, std::move(q_semaphores), { s_q }); + ggml_vk_dispatch_pipeline(s, *dmmv, { { d_Qx, qx_offset, qx_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz } }, sizeof(int), &ncols, { (uint32_t)ne01, 1, 1}); + ggml_vk_end_submission(s, std::move(mm_semaphores), { s_mm }); compute_seqs.push_back({ s }); - + } else { // compute - compute_seqs.push_back(ggml_vk_matmul(*pipeline, { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, { s_q, s_y }, { s_mm })); + compute_seqs.push_back(ggml_vk_matmul(*pipeline, { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(mm_semaphores), { s_mm })); } // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[0], { s_mm }, {})); - ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); } } @@ -1876,17 +2022,27 @@ static void ggml_vk_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * ggml_vk_queue_cleanup(vk_device.compute_queue); ggml_vk_pipeline_cleanup(*pipeline); - ggml_vk_pipeline_cleanup(*to_fp32_vk); + if (qx_needs_dequant) { + ggml_vk_pipeline_cleanup(*to_fp16_vk_0); + } + if (qy_needs_dequant) { + ggml_vk_pipeline_cleanup(*to_fp16_vk_1); + } ggml_vk_pipeline_cleanup(*dmmv); ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); - if (!mul_mat_vec) { + if (qx_needs_dequant) { ggml_vk_pool_free(d_X); } - ggml_vk_pool_free(d_Y); + if (qy_needs_dequant) { + ggml_vk_pool_free(d_Y); + } ggml_vk_pool_free(d_D); - if (src0->backend == GGML_BACKEND_CPU) { - ggml_vk_pool_free(d_Q); + if (load_x) { + ggml_vk_pool_free(d_Qx); + } + if (load_y) { + ggml_vk_pool_free(d_Qy); } } @@ -1899,7 +2055,7 @@ static bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct gg // TODO: find the optimal values for these if ((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && - src1->type == GGML_TYPE_F32 && + (src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16 || ggml_is_quantized(src1->type)) && dst->type == GGML_TYPE_F32 && ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_GPU)) { return true; @@ -1939,19 +2095,9 @@ static void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_t if (src0->type == GGML_TYPE_F32) { ggml_vk_mul_mat_f32(src0, src1, dst); - } - else if (src0->type == GGML_TYPE_F16) { - if (ggml_vk_mul_mat_use_f16(src0, src1, dst)) { - ggml_vk_mul_mat_f16(src0, src1, dst); - } - else { - ggml_vk_mul_mat_q_f32(src0, src1, dst); - } - } - else if (ggml_is_quantized(src0->type)) { - ggml_vk_mul_mat_q_f32(src0, src1, dst); - } - else { + } else if (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) { + ggml_vk_mul_mat_q_f16(src0, src1, dst); + } else { GGML_ASSERT(false); } } @@ -2055,7 +2201,7 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, } static void ggml_vk_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { - GGML_ASSERT(src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32); + GGML_ASSERT(src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32); // NOLINT ggml_vk_mul_f32(src0, src1, dst); } @@ -2068,7 +2214,7 @@ void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { const int64_t ne2 = tensor->ne[2]; const int64_t ne3 = tensor->ne[3]; - GGML_ASSERT(ne2 == 1 && ne3 == 1); + GGML_ASSERT(ne2 == 1 && ne3 == 1); // NOLINT const ggml_type type = tensor->type; const size_t q_sz = ggml_type_size(type) * ne0 * ne1 * ne2 * ne3 / ggml_blck_size(type); @@ -2175,6 +2321,77 @@ void ggml_vk_test_transfer(size_t ne) { free(x); free(y); } +void ggml_vk_test_f32_to_f16(size_t m, size_t k) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_test_transfer(" << ne << ")" << std::endl; +#endif + // Check transfers are correct + const uint32_t ne = m * k; + vk_buffer d_X = ggml_vk_create_buffer(sizeof(float) * ne, vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_buffer d_Y = ggml_vk_create_buffer(sizeof(ggml_fp16_t) * ne, vk::MemoryPropertyFlagBits::eDeviceLocal); + + float* x = (float *) malloc(sizeof(float) * ne); + ggml_fp16_t* y = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * ne); + + for (size_t i = 0; i < ne; i++) { + x[i] = rand() / (float)RAND_MAX; + } + + ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_f32_to_f16, 1); + + auto begin = std::chrono::high_resolution_clock::now(); + + ggml_vk_buffer_write(&d_X, 0, x, sizeof(float) * ne, vk_device.transfer_queues[0]); + + vk_device.transfer_queues[0].queue.waitIdle(); + + auto end = std::chrono::high_resolution_clock::now(); + + double ms_to_gpu = std::chrono::duration_cast(end-begin).count() / 1000.0; + + begin = std::chrono::high_resolution_clock::now(); + + std::vector seqs; + vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); + const std::vector pc = { (int)m, (int)k, (int)k, (int)k }; + ggml_vk_sync_buffers(s.buffer, { { d_X, 0, (uint32_t)sizeof(float) * ne } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { { d_Y, 0, (uint32_t)sizeof(ggml_fp16_t) * ne} }, vk_device.compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, vk_pipeline_f32_to_f16, { { d_X, 0, (uint32_t)sizeof(float) * ne }, { d_Y, 0, (uint32_t)sizeof(ggml_fp16_t) * ne } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)ne, 1, 1}); + ggml_vk_end_submission(s, {}, {}); + seqs.push_back({ s }); + + ggml_vk_submit(vk_device.compute_queue, seqs, VK_NULL_HANDLE); + + vk_device.compute_queue.queue.waitIdle(); + + end = std::chrono::high_resolution_clock::now(); + + double ms_convert = std::chrono::duration_cast(end-begin).count() / 1000.0; + + begin = std::chrono::high_resolution_clock::now(); + + ggml_vk_buffer_read(&d_Y, 0, y, sizeof(ggml_fp16_t) * ne, vk_device.transfer_queues[1]); + + end = std::chrono::high_resolution_clock::now(); + + double ms_from_gpu = std::chrono::duration_cast(end-begin).count() / 1000.0; + + double avg_err = 0.0; + for (size_t i = 0; i < ne; i++) { + avg_err += std::fabs(x[i] - ggml_fp16_to_fp32(y[i])); + } + + std::cerr << "TEST F32 TO F16 " << ms_to_gpu << "ms to_gpu " << ms_convert << "ms convert " << ms_from_gpu << "ms from gpu avg_err=" << avg_err / ne << std::endl; + + ggml_vk_destroy_buffer(d_X); + ggml_vk_destroy_buffer(d_Y); + + ggml_vk_pipeline_cleanup(vk_pipeline_f32_to_f16); + + free(x); + free(y); +} + void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size) { #ifdef VK_DEBUG std::cerr << "ggml_vk_test_matmul_f32(" << m << ", " << n << ", " << k << ", " << num_it << ", " << split_k << ", " << shader_size << ")" << std::endl; diff --git a/vk_shaders/dequant_mul_mat_vec_f16.glsl b/vk_shaders/dequant_mul_mat_vec_f16.glsl index f5199b02c9137..5c45819bee3d5 100644 --- a/vk_shaders/dequant_mul_mat_vec_f16.glsl +++ b/vk_shaders/dequant_mul_mat_vec_f16.glsl @@ -11,7 +11,7 @@ layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer A { float16_t x[]; }; -layout (binding = 1) readonly buffer B { float y[]; }; +layout (binding = 1) readonly buffer B { float16_t y[]; }; layout (binding = 2) writeonly buffer D { float dst[]; }; layout (push_constant) uniform parameter @@ -19,7 +19,7 @@ layout (push_constant) uniform parameter int ncols; } p; -shared float tmp[BLOCK_SIZE]; +shared float16_t tmp[BLOCK_SIZE]; void main() { const int block_size = int(gl_WorkGroupSize.x); @@ -28,7 +28,7 @@ void main() { const int y_offset = QUANT_K/2; - tmp[tid] = 0; + tmp[tid] = 0.0hf; [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { const int col = i*block_size + 2*tid; @@ -37,8 +37,8 @@ void main() { const int iybs = col - col%QUANT_K; // y block start index // dequantize - float v0 = float(x[ib + 0]); - float v1 = float(x[ib + 1]); + float16_t v0 = x[ib + 0]; + float16_t v1 = x[ib + 1]; // matrix multiplication tmp[tid] += v0 * y[iybs + iqs + 0]; @@ -54,6 +54,6 @@ void main() { barrier(); } if (tid == 0) { - dst[row] = tmp[0]; + dst[row] = float(tmp[0]); } } diff --git a/vk_shaders/dequant_mul_mat_vec_q4_0.glsl b/vk_shaders/dequant_mul_mat_vec_q4_0.glsl index 160d603d8f1d4..e61e793bf837d 100644 --- a/vk_shaders/dequant_mul_mat_vec_q4_0.glsl +++ b/vk_shaders/dequant_mul_mat_vec_q4_0.glsl @@ -18,7 +18,7 @@ struct block_q4_0 }; layout (binding = 0) readonly buffer A { block_q4_0 x[]; }; -layout (binding = 1) readonly buffer B { float y[]; }; +layout (binding = 1) readonly buffer B { float16_t y[]; }; layout (binding = 2) writeonly buffer D { float dst[]; }; layout (push_constant) uniform parameter @@ -26,7 +26,7 @@ layout (push_constant) uniform parameter int ncols; } p; -shared float tmp[BLOCK_SIZE]; +shared float16_t tmp[BLOCK_SIZE]; void main() { const int block_size = int(gl_WorkGroupSize.x); @@ -35,7 +35,7 @@ void main() { const int y_offset = QUANT_K/2; - tmp[tid] = 0; + tmp[tid] = 0.0hf; [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { const int col = i*block_size + 2*tid; @@ -44,15 +44,15 @@ void main() { const int iybs = col - col%QUANT_K; // y block start index // dequantize - const float d = float(x[ib].d); + const float16_t d = x[ib].d; const uint8_t vui = x[ib].qs[iqs]; const int8_t vi0 = int8_t(vui & 0xF); const int8_t vi1 = int8_t(vui >> 4); - float v0 = (vi0 - 8)*d; - float v1 = (vi1 - 8)*d; + float16_t v0 = float16_t(vi0 - 8)*d; + float16_t v1 = float16_t(vi1 - 8)*d; // matrix multiplication tmp[tid] += v0 * y[iybs + iqs + 0]; @@ -68,6 +68,6 @@ void main() { barrier(); } if (tid == 0) { - dst[row] = tmp[0]; + dst[row] = float(tmp[0]); } } diff --git a/vk_shaders/dequant_q4_0.glsl b/vk_shaders/dequant_q4_0.glsl index e7db136b35418..73a17b257e0d6 100644 --- a/vk_shaders/dequant_q4_0.glsl +++ b/vk_shaders/dequant_q4_0.glsl @@ -17,7 +17,7 @@ struct block_q4_0 }; layout (binding = 0) readonly buffer A { block_q4_0 x[]; }; -layout (binding = 1) writeonly buffer D { float y[]; }; +layout (binding = 1) writeonly buffer D { float16_t y[]; }; layout (push_constant) uniform parameter { @@ -41,11 +41,11 @@ void main() { const int stride_a = p.stride_a / QUANT_K; const block_q4_0 blk = x[col * stride_a + row]; - const float d = float(blk.d); + const float16_t d = blk.d; [[unroll]] for (int j = 0; j < QUANT_K/2; ++j) { - const int x0 = (blk.qs[j] & 0x0F) - 8; - const int x1 = (blk.qs[j] >> 4) - 8; + const float16_t x0 = float16_t((blk.qs[j] & 0x0F) - 8); + const float16_t x1 = float16_t((blk.qs[j] >> 4) - 8); y[col * p.stride_b + row*QUANT_K + j + 0 ] = x0*d; y[col * p.stride_b + row*QUANT_K + j + QUANT_K/2] = x1*d; diff --git a/vk_shaders/f32_to_f16.glsl b/vk_shaders/f32_to_f16.glsl new file mode 100644 index 0000000000000..8c666cb869a2c --- /dev/null +++ b/vk_shaders/f32_to_f16.glsl @@ -0,0 +1,25 @@ +#version 450 + +#extension GL_EXT_shader_16bit_storage : require + +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { float data_a[]; }; +layout (binding = 1) writeonly buffer D { float16_t data_b[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int K; + int stride_a; + int stride_b; +} p; + +void main() { + const int row = int(gl_GlobalInvocationID.x % p.K); + const int col = int(gl_GlobalInvocationID.x / p.K); + + if (row < p.K && col < p.M) { + data_b[col * p.stride_b + row] = float16_t(data_a[col * p.stride_a + row]); + } +} diff --git a/vk_shaders/matmul_f16_f32.glsl b/vk_shaders/matmul_f16_f32.glsl new file mode 100644 index 0000000000000..d88567932803d --- /dev/null +++ b/vk_shaders/matmul_f16_f32.glsl @@ -0,0 +1,145 @@ +#version 450 + +#define WARP 32 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require + +layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { float16_t data_a[]; }; +layout (binding = 1) readonly buffer B { float data_b[]; }; +layout (binding = 2) writeonly buffer D { float data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int K; + int stride_a; + int stride_b; + int stride_d; + int k_split; +} p; + +layout (constant_id = 1) const int BM = 64; +layout (constant_id = 2) const int BN = 64; +layout (constant_id = 3) const int BK = 16; +layout (constant_id = 4) const int WM = 32; +layout (constant_id = 5) const int WN = 32; +layout (constant_id = 6) const int WMITER = 2; +layout (constant_id = 7) const int TM = 4; +layout (constant_id = 8) const int TN = 2; + +shared float16_t buf_a[BM * (BK+1)]; +shared float16_t buf_b[BN * (BK+1)]; + +void main() { + const int blocks_x = (p.M + BM - 1) / BM; + const int ir = int(gl_WorkGroupID.x) % blocks_x; + const int ik = int(gl_WorkGroupID.x) / blocks_x; + const int ic = int(gl_WorkGroupID.y); + + const int warp_i = int(gl_LocalInvocationID.x / WARP); + const int warp_r = warp_i % (BM / WM); + const int warp_c = warp_i / (BM / WM); + + const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); + const int WSUBM = WM / WMITER; + const int WSUBN = WN / WNITER; + + const int tiw = int(gl_LocalInvocationID.x % WARP); + const int tiwr = tiw % (WSUBM / TM); + const int tiwc = tiw / (WSUBM / TM); + + const int loadr = int(gl_LocalInvocationID.x % BK); + const int loadc = int(gl_LocalInvocationID.x / BK); + + const int loadstride = int(gl_WorkGroupSize.x); + + const int start_k = ik * p.k_split; + const int end_k = (ik + 1) * p.k_split; + + int pos_a = ir * BM * p.stride_a + start_k; + int pos_b = ic * BN * p.stride_b + start_k; + + float sums[WMITER * TM * WNITER * TN]; + float16_t cache_a[WMITER * TM]; + float16_t cache_b[WNITER * TN]; + + [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { + sums[i] = 0.0f; + } + + [[unroll]] for (int block = start_k; block < end_k; block += BK) { + [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; + } else { + buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; + } + } + [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { + const int lr = l % BK; + const int lc = l / BK; + if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = float16_t(data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]); + } else { + buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; + } + } + + barrier(); + + pos_a += BK; + pos_b += BK; + + for (int i = 0; i < min(BK, p.K - block); i++) { + // Load from shared into cache + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int j = 0; j < TM; j++) { + cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; + } + } + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int j = 0; j < TN; j++) { + cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; + } + } + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); + } + } + } + } + } + + barrier(); + } + + const int dr = ir * BM + warp_r * WM; + const int dc = ic * BN + warp_c * WN; + + const int k_split_offset = ik * p.M * p.N; + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + + const int dr_warp = dr + wsir * WSUBM + tiwr * TM; + const int dc_warp = dc + wsic * WSUBN + tiwc * TN; + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + if (dr_warp + cr < p.M && dc_warp + cc < p.N) { + data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + } + } + } + } + } +} diff --git a/vk_shaders/matmul_f16_f32_aligned.glsl b/vk_shaders/matmul_f16_f32_aligned.glsl new file mode 100644 index 0000000000000..b34eaea1a155c --- /dev/null +++ b/vk_shaders/matmul_f16_f32_aligned.glsl @@ -0,0 +1,149 @@ +#version 450 + +#define WARP 32 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require + +layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { f16mat2x4 data_a[]; }; +layout (binding = 1) readonly buffer B { mat2x4 data_b[]; }; +layout (binding = 2) writeonly buffer D { float data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int K; + int stride_a; + int stride_b; + int stride_d; + int k_split; +} p; + +layout (constant_id = 1) const int BM = 64; +layout (constant_id = 2) const int BN = 64; +layout (constant_id = 3) const int BK = 16; +layout (constant_id = 4) const int WM = 32; +layout (constant_id = 5) const int WN = 32; +layout (constant_id = 6) const int WMITER = 2; +layout (constant_id = 7) const int TM = 4; +layout (constant_id = 8) const int TN = 2; + +shared float16_t buf_a[BM * (BK+1)]; +shared float16_t buf_b[BN * (BK+1)]; + +void main() { + const int blocks_x = (p.M + BM - 1) / BM; + const int ir = int(gl_WorkGroupID.x) % blocks_x; + const int ik = int(gl_WorkGroupID.x) / blocks_x; + const int ic = int(gl_WorkGroupID.y); + + const int warp_i = int(gl_LocalInvocationID.x / WARP); + const int warp_r = warp_i % (BM / WM); + const int warp_c = warp_i / (BM / WM); + + const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); + const int WSUBM = WM / WMITER; + const int WSUBN = WN / WNITER; + + const int tiw = int(gl_LocalInvocationID.x % WARP); + const int tiwr = tiw % (WSUBM / TM); + const int tiwc = tiw / (WSUBM / TM); + + const int loadr = int(gl_LocalInvocationID.x % (BK / 8)); + const int loadc = int(gl_LocalInvocationID.x / (BK / 8)); + + const int loadstride = int(gl_WorkGroupSize.x * 8) / BK; + + const int start_k = ik * p.k_split; + const int end_k = (ik + 1) * p.k_split; + + int pos_a = ir * BM * p.stride_a / 8 + start_k / 8; + int pos_b = ic * BN * p.stride_b / 8 + start_k / 8; + + float sums[WMITER * TM * WNITER * TN]; + float16_t cache_a[WMITER * TM]; + float16_t cache_b[WNITER * TN]; + + [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { + sums[i] = 0.0f; + } + + [[unroll]] for (int block = start_k; block < end_k; block += BK) { + [[unroll]] for (int l = 0; l < BM; l += loadstride) { + f16mat2x4 tmp = data_a[pos_a + (loadc + l) * p.stride_a / 8 + loadr]; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 0] = tmp[0].x; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 1] = tmp[0].y; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 2] = tmp[0].z; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 3] = tmp[0].w; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 4] = tmp[1].x; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 5] = tmp[1].y; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 6] = tmp[1].z; + buf_a[(loadc + l) * (BK+1) + loadr * 8 + 7] = tmp[1].w; + } + [[unroll]] for (int l = 0; l < BN; l += loadstride) { + mat2x4 tmp = data_b[pos_b + (loadc + l) * p.stride_b / 8 + loadr]; + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 0] = float16_t(tmp[0].x); + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 1] = float16_t(tmp[0].y); + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 2] = float16_t(tmp[0].z); + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 3] = float16_t(tmp[0].w); + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 4] = float16_t(tmp[1].x); + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 5] = float16_t(tmp[1].y); + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 6] = float16_t(tmp[1].z); + buf_b[(loadc + l) * (BK+1) + loadr * 8 + 7] = float16_t(tmp[1].w); + } + + barrier(); + + pos_a += BK / 8; + pos_b += BK / 8; + + for (int i = 0; i < min(BK, p.K - block); i++) { + // Load from shared into cache + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int j = 0; j < TM; j++) { + cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; + } + } + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int j = 0; j < TN; j++) { + cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; + } + } + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); + } + } + } + } + } + + barrier(); + } + + const int dr = ir * BM + warp_r * WM; + const int dc = ic * BN + warp_c * WN; + + const int k_split_offset = ik * p.M * p.N; + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + + const int dr_warp = dr + wsir * WSUBM + tiwr * TM; + const int dc_warp = dc + wsic * WSUBN + tiwc * TN; + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + if (dr_warp + cr < p.M && dc_warp + cc < p.N) { + data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + } + } + } + } + } +} diff --git a/vk_shaders/matmul_f32_q4_0.glsl b/vk_shaders/matmul_f32_q4_0.glsl new file mode 100644 index 0000000000000..094b099fc85b3 --- /dev/null +++ b/vk_shaders/matmul_f32_q4_0.glsl @@ -0,0 +1,169 @@ +#version 450 + +#define WARP 32 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require +#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require + +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q4_0 +{ + float16_t d; + uint8_t qs[16]; +}; + +layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { block_q4_0 data_a[]; }; +layout (binding = 1) readonly buffer B { vec4 data_b[]; }; +layout (binding = 2) writeonly buffer D { float data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int K; + int stride_a; + int stride_b; + int stride_d; + int k_split; +} p; + +layout (constant_id = 1) const int BM = 64; +layout (constant_id = 2) const int BN = 64; +layout (constant_id = 3) const int BK = 16; +layout (constant_id = 4) const int WM = 32; +layout (constant_id = 5) const int WN = 32; +layout (constant_id = 6) const int WMITER = 2; +layout (constant_id = 7) const int TM = 4; +layout (constant_id = 8) const int TN = 2; + +shared float buf_a[BM * (BK+1)]; +shared float buf_b[BN * (BK+1)]; + +void main() { + const int blocks_x = (p.M + BM - 1) / BM; + const int ir = int(gl_WorkGroupID.x) % blocks_x; + const int ik = int(gl_WorkGroupID.x) / blocks_x; + const int ic = int(gl_WorkGroupID.y); + + const int stride_a = p.stride_a / QUANT_K; + + const int warp_i = int(gl_LocalInvocationID.x / WARP); + const int warp_r = warp_i % (BM / WM); + const int warp_c = warp_i / (BM / WM); + + const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); + const int WSUBM = WM / WMITER; + const int WSUBN = WN / WNITER; + + const int tiw = int(gl_LocalInvocationID.x % WARP); + const int tiwr = tiw % (WSUBM / TM); + const int tiwc = tiw / (WSUBM / TM); + + const int loadr = int(gl_LocalInvocationID.x % (BK / 4)); + const int loadc = int(gl_LocalInvocationID.x / (BK / 4)); + + const int loadstride = int(gl_WorkGroupSize.x * 4) / BK; + + const int start_k = ik * p.k_split; + const int end_k = (ik + 1) * p.k_split; + + int pos_b = ic * BN * p.stride_b / 4 + start_k / 4; + + float sums[WMITER * TM * WNITER * TN]; + float cache_a[WMITER * TM]; + float cache_b[WNITER * TN]; + + [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { + sums[i] = 0.0f; + } + + [[unroll]] for (int block = start_k; block < end_k; block += BK) { + [[unroll]] for (int l = 0; l < BM; l += loadstride) { + const int row = (block + loadr * 4) / QUANT_K; + const int qi = (block + loadr * 4) % QUANT_K; + const block_q4_0 blk = data_a[(ir * BM + loadc + l) * stride_a + row]; + const float d = float(blk.d); + + int x0, x1, x2, x3; + if (qi < 16) { + x0 = (blk.qs[qi + 0] & 0x0F) - 8; + x1 = (blk.qs[qi + 1] & 0x0F) - 8; + x2 = (blk.qs[qi + 2] & 0x0F) - 8; + x3 = (blk.qs[qi + 3] & 0x0F) - 8; + } else { + x0 = (blk.qs[qi + 0] >> 4) - 8; + x1 = (blk.qs[qi + 1] >> 4) - 8; + x2 = (blk.qs[qi + 2] >> 4) - 8; + x3 = (blk.qs[qi + 3] >> 4) - 8; + } + + buf_a[(loadc + l) * (BK+1) + loadr * 4 + 0] = x0*d; + buf_a[(loadc + l) * (BK+1) + loadr * 4 + 1] = x1*d; + buf_a[(loadc + l) * (BK+1) + loadr * 4 + 2] = x2*d; + buf_a[(loadc + l) * (BK+1) + loadr * 4 + 3] = x3*d; + } + [[unroll]] for (int l = 0; l < BN; l += loadstride) { + vec4 tmp = data_b[pos_b + (loadc + l) * p.stride_b / 4 + loadr]; + buf_b[(loadc + l) * (BK+1) + loadr * 4 + 0] = tmp.x; + buf_b[(loadc + l) * (BK+1) + loadr * 4 + 1] = tmp.y; + buf_b[(loadc + l) * (BK+1) + loadr * 4 + 2] = tmp.z; + buf_b[(loadc + l) * (BK+1) + loadr * 4 + 3] = tmp.w; + } + + barrier(); + + pos_b += BK / 4; + + for (int i = 0; i < min(BK, p.K - block); i++) { + // Load from shared into cache + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int j = 0; j < TM; j++) { + cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; + } + } + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int j = 0; j < TN; j++) { + cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; + } + } + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += cache_a[wsir * TM + cr] * cache_b[wsic * TN + cc]; + } + } + } + } + } + + barrier(); + } + + const int dr = ir * BM + warp_r * WM; + const int dc = ic * BN + warp_c * WN; + + const int k_split_offset = ik * p.M * p.N; + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + + const int dr_warp = dr + wsir * WSUBM + tiwr * TM; + const int dc_warp = dc + wsic * WSUBN + tiwc * TN; + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + if (dr_warp + cr < p.M && dc_warp + cc < p.N) { + data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + } + } + } + } + } +} From 44065df367ff5e2fa2f87782438caa930dca6c02 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 28 Jul 2023 06:38:23 +0200 Subject: [PATCH 059/142] Add F32 dmmv shaders --- Makefile | 2 + ggml-vulkan.cpp | 18 +++-- vk_shaders/dequant_mul_mat_vec_f16_f32.glsl | 59 ++++++++++++++++ vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl | 73 ++++++++++++++++++++ 4 files changed, 145 insertions(+), 7 deletions(-) create mode 100644 vk_shaders/dequant_mul_mat_vec_f16_f32.glsl create mode 100644 vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl diff --git a/Makefile b/Makefile index 38379bd1faa07..3bda7257f1d36 100644 --- a/Makefile +++ b/Makefile @@ -244,6 +244,8 @@ ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_q4_0.glsl -o vk_shaders/dequant_q4_0.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_f16.glsl -o vk_shaders/dequant_mul_mat_vec_f16.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_q4_0.glsl -o vk_shaders/dequant_mul_mat_vec_q4_0.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_f16_f32.glsl -o vk_shaders/dequant_mul_mat_vec_f16_f32.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl -o vk_shaders/dequant_mul_mat_vec_q4_0_f32.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/mul_f32.glsl -o vk_shaders/mul_f32.spv & \ wait endif diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index f5f2d1a3bc259..43587b9e4d8ec 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -138,6 +138,7 @@ vk_pipeline vk_pipeline_matmul_f16_f32_l, vk_pipeline_matmul_f16_f32_m, vk_pipel vk_pipeline vk_pipeline_matmul_f16_f32_aligned_l, vk_pipeline_matmul_f16_f32_aligned_m, vk_pipeline_matmul_f16_f32_aligned_s; vk_pipeline vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_dequant_mul_mat_vec_f16, vk_pipeline_dequant_mul_mat_vec_q4_0; +vk_pipeline vk_pipeline_dequant_mul_mat_vec_f16_f32, vk_pipeline_dequant_mul_mat_vec_q4_0_f32; vk_pipeline vk_pipeline_mul_f32; vk_pipeline vk_pipeline_f32_to_f16, vk_pipeline_dequant_q4_0; @@ -750,14 +751,17 @@ void ggml_vk_init(void) { vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_dequant_mul_mat_vec_f16 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_f16.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_q4_0.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); } vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); vk_pipeline_f32_to_f16 = ggml_vk_create_pipeline("vk_shaders/f32_to_f16.spv", "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f16 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_f16.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_q4_0.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f16_f32 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_f16_f32.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_q4_0_f32 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_q4_0_f32.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); vk_pipeline_mul_f32 = ggml_vk_create_pipeline("vk_shaders/mul_f32.spv", "main", 3, 8 * sizeof(int), {32, 32, 1}, {}, 1); @@ -840,15 +844,15 @@ static vk_pipeline* ggml_vk_get_to_fp16(ggml_type type) { } } -static vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type) { +static vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type, bool f16_y) { #ifdef VK_DEBUG std::cerr << "ggml_vk_get_dequantize_mul_mat_vec()" << std::endl; #endif switch (type) { case GGML_TYPE_Q4_0: - return &vk_pipeline_dequant_mul_mat_vec_q4_0; + return f16_y ? &vk_pipeline_dequant_mul_mat_vec_q4_0 : &vk_pipeline_dequant_mul_mat_vec_q4_0_f32; case GGML_TYPE_F16: - return &vk_pipeline_dequant_mul_mat_vec_f16; + return f16_y ? &vk_pipeline_dequant_mul_mat_vec_f16 : &vk_pipeline_dequant_mul_mat_vec_f16_f32; default: return nullptr; } @@ -1850,7 +1854,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const int nb3 = dst->nb[3]; const bool mul_mat_vec = ne11 == 1 && src0->type != GGML_TYPE_F16; - const bool f16_f32_kernel = src1->type == GGML_TYPE_F32 && !mul_mat_vec; + const bool f16_f32_kernel = src1->type == GGML_TYPE_F32; const bool qx_needs_dequant = src0->type != GGML_TYPE_F16 && !mul_mat_vec; const bool qy_needs_dequant = src1->type != GGML_TYPE_F16 && !f16_f32_kernel; @@ -1906,7 +1910,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * vk_pipeline* to_fp16_vk_0 = ggml_vk_get_to_fp16(src0->type); vk_pipeline* to_fp16_vk_1 = ggml_vk_get_to_fp16(src1->type); - vk_pipeline* dmmv = ggml_vk_get_dequantize_mul_mat_vec(src0->type); + vk_pipeline* dmmv = ggml_vk_get_dequantize_mul_mat_vec(src0->type, !f16_f32_kernel); GGML_ASSERT(!qx_needs_dequant || to_fp16_vk_0 != nullptr); // NOLINT GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr); // NOLINT GGML_ASSERT(dmmv != nullptr); diff --git a/vk_shaders/dequant_mul_mat_vec_f16_f32.glsl b/vk_shaders/dequant_mul_mat_vec_f16_f32.glsl new file mode 100644 index 0000000000000..f365d80231dad --- /dev/null +++ b/vk_shaders/dequant_mul_mat_vec_f16_f32.glsl @@ -0,0 +1,59 @@ +#version 450 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require + +#define QUANT_K 32 +#define QUANT_R 2 +#define BLOCK_SIZE 32 + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { float16_t x[]; }; +layout (binding = 1) readonly buffer B { float y[]; }; +layout (binding = 2) writeonly buffer D { float dst[]; }; + +layout (push_constant) uniform parameter +{ + int ncols; +} p; + +shared float tmp[BLOCK_SIZE]; + +void main() { + const int block_size = int(gl_WorkGroupSize.x); + const int row = int(gl_WorkGroupID.x); + const int tid = int(gl_LocalInvocationID.x); + + const int y_offset = QUANT_K/2; + + tmp[tid] = 0.0hf; + + [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { + const int col = i*block_size + 2*tid; + const int ib = (row*p.ncols + col)/QUANT_K; // block index + const int iqs = (col%QUANT_K)/QUANT_R; // quant index + const int iybs = col - col%QUANT_K; // y block start index + + // dequantize + float16_t v0 = x[ib + 0]; + float16_t v1 = x[ib + 1]; + + // matrix multiplication + tmp[tid] += v0 * y[iybs + iqs + 0]; + tmp[tid] += v1 * y[iybs + iqs + y_offset]; + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s=block_size/2; s>0; s>>=1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + dst[row] = tmp[0]; + } +} diff --git a/vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl b/vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl new file mode 100644 index 0000000000000..8aa6ac57add32 --- /dev/null +++ b/vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl @@ -0,0 +1,73 @@ +#version 450 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require +#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require + +#define QUANT_K 32 +#define QUANT_R 2 +#define BLOCK_SIZE 32 + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +struct block_q4_0 +{ + float16_t d; + uint8_t qs[16]; +}; + +layout (binding = 0) readonly buffer A { block_q4_0 x[]; }; +layout (binding = 1) readonly buffer B { float y[]; }; +layout (binding = 2) writeonly buffer D { float dst[]; }; + +layout (push_constant) uniform parameter +{ + int ncols; +} p; + +shared float tmp[BLOCK_SIZE]; + +void main() { + const int block_size = int(gl_WorkGroupSize.x); + const int row = int(gl_WorkGroupID.x); + const int tid = int(gl_LocalInvocationID.x); + + const int y_offset = QUANT_K/2; + + tmp[tid] = 0.0hf; + + [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { + const int col = i*block_size + 2*tid; + const int ib = (row*p.ncols + col)/QUANT_K; // block index + const int iqs = (col%QUANT_K)/QUANT_R; // quant index + const int iybs = col - col%QUANT_K; // y block start index + + // dequantize + const float16_t d = x[ib].d; + + const uint8_t vui = x[ib].qs[iqs]; + + const int8_t vi0 = int8_t(vui & 0xF); + const int8_t vi1 = int8_t(vui >> 4); + + float16_t v0 = float16_t(vi0 - 8)*d; + float16_t v1 = float16_t(vi1 - 8)*d; + + // matrix multiplication + tmp[tid] += v0 * y[iybs + iqs + 0]; + tmp[tid] += v1 * y[iybs + iqs + y_offset]; + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s=block_size/2; s>0; s>>=1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + dst[row] = tmp[0]; + } +} From f6b241e803f5ce0db66ebe4c9854b5457a9ace4d Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 28 Jul 2023 07:07:58 +0200 Subject: [PATCH 060/142] Batch submissions --- ggml-vulkan.cpp | 42 +++++++++++++++++++++++++++++++----------- 1 file changed, 31 insertions(+), 11 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 43587b9e4d8ec..72d2b737651d6 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -44,6 +44,8 @@ #define VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI 1 #define VK_DEVICE_DESCRIPTOR_POOL_MODE_SINGLE 2 +#define VK_SUBMIT_BATCH 3 + typedef void (*ggml_vk_func_t)(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst); struct vk_buffer { @@ -1918,6 +1920,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * std::vector compute_seqs; std::vector transfer_0_seqs; std::vector transfer_1_seqs; + std::vector transfer_2_seqs; // Allocate descriptor sets ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); @@ -1934,13 +1937,16 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne02 * ne03); } + int submit_counter = 0; + for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { - const uint32_t qx_offset = load_x ? qx_sz * (i03 * ne02 + i02) : 0; - const uint32_t qy_offset = load_y ? qy_sz * (i03 * ne02 + i02) : 0; - const uint32_t x_offset = x_sz * (i03 * ne02 + i02); - const uint32_t y_offset = y_sz * (i03 * ne02 + i02); - const uint32_t d_offset = d_sz * (i03 * ne02 + i02); + const uint32_t it_idx = (i03 * ne02 + i02); + const uint32_t qx_offset = load_x ? qx_sz * it_idx : 0; + const uint32_t qy_offset = load_y ? qy_sz * it_idx : 0; + const uint32_t x_offset = x_sz * it_idx; + const uint32_t y_offset = y_sz * it_idx; + const uint32_t d_offset = d_sz * it_idx; vk::Semaphore s_x; vk::Semaphore s_y; @@ -1951,6 +1957,8 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * std::vector q_semaphores; std::vector mm_semaphores; + submit_counter++; + if (load_x) { s_x = ggml_vk_create_semaphore(vk_device.transfer_queues[0]); if (qx_needs_dequant) { @@ -1960,6 +1968,9 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qx, qx_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); } + if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { + ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + } if (load_y) { s_y = ggml_vk_create_semaphore(vk_device.transfer_queues[1]); if (qy_needs_dequant) { @@ -1969,9 +1980,9 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qy, qy_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y })); } - - ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { + ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + } if (dq) { s_q = ggml_vk_create_semaphore(vk_device.compute_queue); @@ -2008,16 +2019,25 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * // compute compute_seqs.push_back(ggml_vk_matmul(*pipeline, { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(mm_semaphores), { s_mm })); } + if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { + ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); + } // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[0], { s_mm }, {})); + transfer_2_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[0], { s_mm }, {})); - ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); + if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { + ggml_vk_submit(vk_device.transfer_queues[0], transfer_2_seqs, VK_NULL_HANDLE); + submit_counter = 0; + } } } ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[0], transfer_2_seqs, VK_NULL_HANDLE); vk_device.transfer_queues[0].queue.waitIdle(); @@ -2097,7 +2117,7 @@ static void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_t #endif GGML_ASSERT(ggml_vk_can_mul_mat(src0, src1, dst)); - if (src0->type == GGML_TYPE_F32) { + if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32) { ggml_vk_mul_mat_f32(src0, src1, dst); } else if (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) { ggml_vk_mul_mat_q_f16(src0, src1, dst); From 6bd9bd9026d9fead75d34c52c95a7d7702ed39cb Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 28 Jul 2023 07:08:28 +0200 Subject: [PATCH 061/142] Add .spv to gitignore --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index faec869e040b2..d53698efb3197 100644 --- a/.gitignore +++ b/.gitignore @@ -1,6 +1,7 @@ *.o *.a *.so +*.spv .DS_Store .build/ .cache/ From 2231618450e34e48b95bd4abc87625980a353b15 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 28 Jul 2023 14:58:07 +0200 Subject: [PATCH 062/142] Split off matrix vector multiplication for separate optimization --- ggml-vulkan.cpp | 313 ++++++++++++++++++++++++++++++++++-------------- 1 file changed, 220 insertions(+), 93 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 72d2b737651d6..b09026871c249 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -144,9 +144,6 @@ vk_pipeline vk_pipeline_dequant_mul_mat_vec_f16_f32, vk_pipeline_dequant_mul_mat vk_pipeline vk_pipeline_mul_f32; vk_pipeline vk_pipeline_f32_to_f16, vk_pipeline_dequant_q4_0; -void * vk_pinned_workspace; -size_t vk_pinned_workspace_size; - static std::vector> vk_pinned_memory; static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { @@ -724,9 +721,6 @@ void ggml_vk_init(void) { vk_device.descriptor_set_mode = VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN; - vk_pinned_workspace = nullptr; - vk_pinned_workspace_size = 0; - // Prepare matmul values auto warptile_l = { 128, 128, 128, 16, 64, 64, 2, 4, 4 }; auto warptile_m = { 128, 64, 64, 16, 32, 32, 2, 4, 2 }; @@ -1490,7 +1484,7 @@ static uint32_t ggml_vk_guess_matmul_pipeline_align(int m, int n) { static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16_x, bool bit16_y, int m, int n, bool aligned) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_guess_matmul_pipeline(" << bit16 << ", " << m << ", " << n << ", " << aligned << ")"; + std::cerr << "ggml_vk_guess_matmul_pipeline(" << bit16_x << ", " << bit16_y << ", " << m << ", " << n << ", " << aligned << ")"; #endif if (bit16_x && bit16_y) { if (m <= 32 || n <= 32) { @@ -1744,19 +1738,6 @@ static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * sr const bool load_x = src0->backend != GGML_BACKEND_GPU; - const size_t workspace_size = sizeof(ggml_fp16_t) * y_ne * (ne02 * ne03); - - if (vk_pinned_workspace == nullptr) { - vk_pinned_workspace = ggml_vk_host_malloc(workspace_size); - vk_pinned_workspace_size = workspace_size; - } else if (vk_pinned_workspace_size < workspace_size) { - ggml_vk_host_free(vk_pinned_workspace); - vk_pinned_workspace = ggml_vk_host_malloc(workspace_size); - vk_pinned_workspace_size = workspace_size; - } - - ggml_fp16_t * const fp16_staging = (ggml_fp16_t *) vk_pinned_workspace; - // Allocate descriptor sets ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); if (split_k > 1) { @@ -1854,11 +1835,13 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; - const bool mul_mat_vec = ne11 == 1 && src0->type != GGML_TYPE_F16; + vk_queue& compq = vk_device.compute_queue; + vk_queue& tr0q = vk_device.transfer_queues[0]; + vk_queue& tr1q = vk_device.transfer_queues[1]; const bool f16_f32_kernel = src1->type == GGML_TYPE_F32; - const bool qx_needs_dequant = src0->type != GGML_TYPE_F16 && !mul_mat_vec; + const bool qx_needs_dequant = src0->type != GGML_TYPE_F16; const bool qy_needs_dequant = src1->type != GGML_TYPE_F16 && !f16_f32_kernel; const bool dq = qx_needs_dequant || qy_needs_dequant; @@ -1869,7 +1852,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; - const int split_k = mul_mat_vec ? 1 : ggml_vk_guess_split_k(ne01, ne11, ne10); + const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); @@ -1900,7 +1883,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * ggml_vk_pool_malloc(x_sz * ne02 * ne03, &d_X, {}); } else { d_X = d_Qx; - GGML_ASSERT(qx_sz == x_sz || mul_mat_vec); // NOLINT + GGML_ASSERT(qx_sz == x_sz); // NOLINT } if (qy_needs_dequant) { ggml_vk_pool_malloc(y_sz * ne02 * ne03, &d_Y, {}); @@ -1912,10 +1895,8 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * vk_pipeline* to_fp16_vk_0 = ggml_vk_get_to_fp16(src0->type); vk_pipeline* to_fp16_vk_1 = ggml_vk_get_to_fp16(src1->type); - vk_pipeline* dmmv = ggml_vk_get_dequantize_mul_mat_vec(src0->type, !f16_f32_kernel); GGML_ASSERT(!qx_needs_dequant || to_fp16_vk_0 != nullptr); // NOLINT GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr); // NOLINT - GGML_ASSERT(dmmv != nullptr); std::vector compute_seqs; std::vector transfer_0_seqs; @@ -1930,9 +1911,6 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * if (qy_needs_dequant) { ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_1, ne02 * ne03); } - if (mul_mat_vec) { - ggml_vk_pipeline_allocate_descriptor_sets(*dmmv, ne02 * ne03); - } if (split_k > 1) { ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne02 * ne03); } @@ -1952,7 +1930,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * vk::Semaphore s_y; vk::Semaphore s_q; - const vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); + const vk::Semaphore s_mm = ggml_vk_create_semaphore(compq); std::vector q_semaphores; std::vector mm_semaphores; @@ -1960,44 +1938,44 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * submit_counter++; if (load_x) { - s_x = ggml_vk_create_semaphore(vk_device.transfer_queues[0]); + s_x = ggml_vk_create_semaphore(tr0q); if (qx_needs_dequant) { q_semaphores.push_back(s_x); } else { mm_semaphores.push_back(s_x); } - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qx, qx_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qx, qx_offset, src0, i03, i02, tr0q, {}, { s_x })); } if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(tr0q, transfer_0_seqs, VK_NULL_HANDLE); } if (load_y) { - s_y = ggml_vk_create_semaphore(vk_device.transfer_queues[1]); + s_y = ggml_vk_create_semaphore(tr1q); if (qy_needs_dequant) { q_semaphores.push_back(s_y); } else { mm_semaphores.push_back(s_y); } - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qy, qy_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y })); + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qy, qy_offset, src1, i03, i02, tr1q, {}, { s_y })); } if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + ggml_vk_submit(tr1q, transfer_1_seqs, VK_NULL_HANDLE); } if (dq) { - s_q = ggml_vk_create_semaphore(vk_device.compute_queue); - vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); + s_q = ggml_vk_create_semaphore(tr0q); + vk_submission s = ggml_vk_begin_submission(compq); if (qx_needs_dequant) { const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { { d_Qx, qx_offset, qx_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { { d_X, x_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_sync_buffers(s.buffer, { { d_Qx, qx_offset, qx_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { { d_X, x_offset, x_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); ggml_vk_dispatch_pipeline(s, *to_fp16_vk_0, { { d_Qx, qx_offset, qx_sz }, { d_X, x_offset, x_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); } if (qy_needs_dequant) { const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { { d_Qy, qy_offset, qy_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { { d_Y, y_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_sync_buffers(s.buffer, { { d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { { d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); ggml_vk_dispatch_pipeline(s, *to_fp16_vk_1, { { d_Qy, qy_offset, qy_sz }, { d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); } ggml_vk_end_submission(s, std::move(q_semaphores), { s_q }); @@ -2006,44 +1984,34 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * mm_semaphores.push_back(s_q); } - if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel - // compute - const int ncols = ne00; - vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_Qx), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *dmmv, { { d_Qx, qx_offset, qx_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz } }, sizeof(int), &ncols, { (uint32_t)ne01, 1, 1}); - ggml_vk_end_submission(s, std::move(mm_semaphores), { s_mm }); - compute_seqs.push_back({ s }); - } else { - // compute - compute_seqs.push_back(ggml_vk_matmul(*pipeline, { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(mm_semaphores), { s_mm })); - } + // compute + compute_seqs.push_back(ggml_vk_matmul(*pipeline, { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, compq, std::move(mm_semaphores), { s_mm })); + if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); + ggml_vk_submit(compq, compute_seqs, VK_NULL_HANDLE); } // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - transfer_2_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[0], { s_mm }, {})); + transfer_2_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, tr0q, { s_mm }, {})); if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(vk_device.transfer_queues[0], transfer_2_seqs, VK_NULL_HANDLE); + ggml_vk_submit(tr0q, transfer_2_seqs, VK_NULL_HANDLE); submit_counter = 0; } } } - ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.transfer_queues[0], transfer_2_seqs, VK_NULL_HANDLE); + ggml_vk_submit(tr0q, transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(tr1q, transfer_1_seqs, VK_NULL_HANDLE); + ggml_vk_submit(compq, compute_seqs, VK_NULL_HANDLE); + ggml_vk_submit(tr0q, transfer_2_seqs, VK_NULL_HANDLE); - vk_device.transfer_queues[0].queue.waitIdle(); + tr0q.queue.waitIdle(); - ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); - ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); - ggml_vk_queue_cleanup(vk_device.compute_queue); + ggml_vk_queue_cleanup(tr0q); + ggml_vk_queue_cleanup(tr1q); + ggml_vk_queue_cleanup(compq); ggml_vk_pipeline_cleanup(*pipeline); if (qx_needs_dequant) { @@ -2052,7 +2020,6 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * if (qy_needs_dequant) { ggml_vk_pipeline_cleanup(*to_fp16_vk_1); } - ggml_vk_pipeline_cleanup(*dmmv); ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); if (qx_needs_dequant) { @@ -2070,6 +2037,182 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } } +static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_mul_mat_vec_q_f16((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; + std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; + std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; +#endif + const int64_t ne00 = src0->ne[0]; + const int64_t ne01 = src0->ne[1]; + const int64_t ne02 = src0->ne[2]; + const int64_t ne03 = src0->ne[3]; + + const int64_t ne10 = src1->ne[0]; + const int64_t ne11 = src1->ne[1]; + + GGML_ASSERT(ne11 == 1); + + const int nb2 = dst->nb[2]; + const int nb3 = dst->nb[3]; + + vk_queue& compq = vk_device.compute_queue; + const bool f16_f32_kernel = src1->type == GGML_TYPE_F32; + + const bool qy_needs_dequant = src1->type != GGML_TYPE_F16 && !f16_f32_kernel; + + const bool load_x = src0->backend != GGML_BACKEND_GPU; + const bool load_y = src1->backend != GGML_BACKEND_GPU; + + const int x_ne = ne01 * ne00; + const int y_ne = ne11 * ne10; + const int d_ne = ne11 * ne01; + + const uint32_t qx_sz = ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t qy_sz = ggml_vk_align_size(ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t y_sz = ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + + vk_buffer d_Qx; + if (load_x) { + ggml_vk_pool_malloc(qx_sz * ne02 * ne03, &d_Qx, {}); + } else { + d_Qx = *(vk_buffer *) src0->data; + } + vk_buffer d_Qy; + if (load_y) { + ggml_vk_pool_malloc(qy_sz * ne02 * ne03, &d_Qy, {}); + } else { + d_Qy = *(vk_buffer *) src1->data; + } + vk_buffer d_X; + vk_buffer d_Y; + vk_buffer d_D; + if (qy_needs_dequant) { + ggml_vk_pool_malloc(y_sz * ne02 * ne03, &d_Y, {}); + } else { + d_Y = d_Qy; + GGML_ASSERT(qy_sz == y_sz); + } + ggml_vk_pool_malloc(d_sz * ne02 * ne03, &d_D, {}); + + vk_pipeline* to_fp16_vk_1 = ggml_vk_get_to_fp16(src1->type); + vk_pipeline* dmmv = ggml_vk_get_dequantize_mul_mat_vec(src0->type, !f16_f32_kernel); + GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr); // NOLINT + GGML_ASSERT(dmmv != nullptr); + + std::vector compute_seqs; + std::vector transfer_0_seqs; + std::vector transfer_1_seqs; + std::vector transfer_2_seqs; + + // Allocate descriptor sets + if (qy_needs_dequant) { + ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_1, ne02 * ne03); + } + ggml_vk_pipeline_allocate_descriptor_sets(*dmmv, ne02 * ne03); + + int submit_counter = 0; + + for (int64_t i03 = 0; i03 < ne03; i03++) { + for (int64_t i02 = 0; i02 < ne02; i02++) { + const uint32_t it_idx = (i03 * ne02 + i02); + const uint32_t qx_offset = load_x ? qx_sz * it_idx : 0; + const uint32_t qy_offset = load_y ? qy_sz * it_idx : 0; + const uint32_t y_offset = y_sz * it_idx; + const uint32_t d_offset = d_sz * it_idx; + + vk::Semaphore s_x; + vk::Semaphore s_y; + vk::Semaphore s_q; + + const vk::Semaphore s_mm = ggml_vk_create_semaphore(compq); + + std::vector q_semaphores; + std::vector mm_semaphores; + + submit_counter++; + + if (load_x) { + s_x = ggml_vk_create_semaphore(compq); + mm_semaphores.push_back(s_x); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qx, qx_offset, src0, i03, i02, compq, {}, { s_x })); + } + if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { + ggml_vk_submit(compq, transfer_0_seqs, VK_NULL_HANDLE); + } + if (load_y) { + s_y = ggml_vk_create_semaphore(compq); + if (qy_needs_dequant) { + q_semaphores.push_back(s_y); + } else { + mm_semaphores.push_back(s_y); + } + transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qy, qy_offset, src1, i03, i02, compq, {}, { s_y })); + } + if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { + ggml_vk_submit(compq, transfer_1_seqs, VK_NULL_HANDLE); + } + + if (qy_needs_dequant) { + s_q = ggml_vk_create_semaphore(compq); + vk_submission s = ggml_vk_begin_submission(compq); + const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; + ggml_vk_sync_buffers(s.buffer, { { d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { { d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *to_fp16_vk_1, { { d_Qy, qy_offset, qy_sz }, { d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); + ggml_vk_end_submission(s, std::move(q_semaphores), { s_q }); + compute_seqs.push_back({ s }); + + mm_semaphores.push_back(s_q); + } + + // compute + const int ncols = ne00; + vk_submission s = ggml_vk_begin_submission(compq); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_Qx), ggml_vk_subbuffer(d_Y) }, compq, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *dmmv, { { d_Qx, qx_offset, qx_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz } }, sizeof(int), &ncols, { (uint32_t)ne01, 1, 1}); + ggml_vk_end_submission(s, std::move(mm_semaphores), { s_mm }); + compute_seqs.push_back({ s }); + + if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { + ggml_vk_submit(compq, compute_seqs, VK_NULL_HANDLE); + } + + // copy dst to host + float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + transfer_2_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, compq, { s_mm }, {})); + + if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { + ggml_vk_submit(compq, transfer_2_seqs, VK_NULL_HANDLE); + submit_counter = 0; + } + } + } + + ggml_vk_submit(compq, compute_seqs, VK_NULL_HANDLE); + + compq.queue.waitIdle(); + + ggml_vk_queue_cleanup(compq); + + if (qy_needs_dequant) { + ggml_vk_pipeline_cleanup(*to_fp16_vk_1); + } + ggml_vk_pipeline_cleanup(*dmmv); + + if (qy_needs_dequant) { + ggml_vk_pool_free(d_Y); + } + ggml_vk_pool_free(d_D); + if (load_x) { + ggml_vk_pool_free(d_Qx); + } + if (load_y) { + ggml_vk_pool_free(d_Qy); + } +} static bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { const int64_t ne10 = src1->ne[0]; @@ -2077,6 +2220,13 @@ static bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct gg const int64_t ne0 = dst->ne[0]; const int64_t ne1 = dst->ne[1]; + if ((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && + (src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16 || ggml_is_quantized(src1->type)) && + dst->type == GGML_TYPE_F16 && + ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_GPU)) { + std::cerr << "FP16 dst required" << std::endl; + } + // TODO: find the optimal values for these if ((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && (src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16 || ggml_is_quantized(src1->type)) && @@ -2088,29 +2238,6 @@ static bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct gg return false; } -static bool ggml_vk_mul_mat_use_f16(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * /* dst */) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_use_f16(" << src0 << ", " << src1 << ")" << std::endl; -#endif - // If device doesn't support FP16 - if (!vk_device.fp16) { - return false; - } - - size_t src0_sz = ggml_nbytes(src0); - size_t src1_sz = ggml_nbytes(src1); - - // mul_mat_q: src0 is converted to fp32 on device - size_t mul_mat_q_transfer = src0_sz + src1_sz; - - // mul_mat_f16: src1 is converted to fp16 on cpu - size_t mul_mat_f16_transfer = src0_sz + sizeof(ggml_fp16_t) * ggml_nelements(src1); - - // choose the smaller one to transfer to the device - // TODO: this is not always the best choice due to the overhead of converting to fp16 - return mul_mat_f16_transfer < mul_mat_q_transfer; -} - static void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat(" << src0 << ", " << src1 << ", " << dst << ")" << std::endl; @@ -2119,10 +2246,10 @@ static void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_t if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32) { ggml_vk_mul_mat_f32(src0, src1, dst); - } else if (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) { - ggml_vk_mul_mat_q_f16(src0, src1, dst); + } else if (src1->ne[1] == 1 && (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type))) { + ggml_vk_mul_mat_vec_q_f16(src0, src1, dst); } else { - GGML_ASSERT(false); + ggml_vk_mul_mat_q_f16(src0, src1, dst); } } From 582c82573831e75911cb07cb865d8083ad7fb010 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 30 Jul 2023 16:25:58 +0200 Subject: [PATCH 063/142] Use single command buffer for matrix vector multiplication ops --- ggml-vulkan.cpp | 187 ++++++++++++++++++++++++------------------------ 1 file changed, 95 insertions(+), 92 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index b09026871c249..03d2f4fe83126 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -764,7 +764,7 @@ void ggml_vk_init(void) { // Queues uint32_t queue_index_offset = compute_queue_family_index == transfer_queue_family_index ? 1 : 0; - vk_device.compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader }); + vk_device.compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader | vk::PipelineStageFlagBits::eTransfer }); for (int i = 0; i < VK_TRANSFER_QUEUE_COUNT; i++) { if (transfer_queue_count > 0) { vk_device.transfer_queues[i] = ggml_vk_create_queue(transfer_queue_family_index, (queue_index_offset + i) % transfer_queue_count, { vk::PipelineStageFlagBits::eTransfer }); @@ -1037,7 +1037,7 @@ static void ggml_vk_end_submission(vk_submission& s, std::vector s.signal_semaphores = std::move(signal_semaphores); } -static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { +static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; #endif @@ -1059,7 +1059,13 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, } } - vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); + bool reuse_submission = false; + vk_submission submission; + if (s == nullptr) { + submission = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); + s = &submission; + reuse_submission = true; + } if (buf != nullptr) { // Memory is pinned, use as staging buffer @@ -1078,11 +1084,15 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, } } - s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); - s.buffer.copyBuffer(buf->buffer, dst->buffer, slices); - s.buffer.end(); - return { s }; + if (reuse_submission) { + s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + } + ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); + s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); + if (reuse_submission) { + s->buffer.end(); + } + return { *s }; } // Staging buffer required, malloc because of async transfer @@ -1096,10 +1106,14 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, offset, width * height}; - s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); - vkCmdCopyBuffer(s.buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); - s.buffer.end(); + if (reuse_submission) { + s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + } + ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); + vkCmdCopyBuffer(s->buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); + if (reuse_submission) { + s->buffer.end(); + } if (width == spitch) { memcpy(dst->sb_write->ptr, src, width * height); @@ -1109,7 +1123,7 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, } } - return { s }; + return { *s }; } static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q) { @@ -1125,7 +1139,7 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * } } else { vk::Fence fence = vk_device.device.createFence({}); - std::vector s = { ggml_vk_buffer_write_2d_async(dst, offset, src, spitch, width, height, q, {}, {}) }; + std::vector s = { ggml_vk_buffer_write_2d_async(dst, offset, src, spitch, width, height, q, {}, {}, nullptr) }; ggml_vk_submit(q, s, fence); vk::resultCheck(vk_device.device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_write_2d waitForFences"); } @@ -1135,7 +1149,7 @@ static inline size_t ggml_vk_align_size(size_t width, size_t align) { return CEIL_DIV(width, align) * align; } -static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, size_t align, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { +static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, size_t align, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async_zeropad(" << offset << ", " << spitch << ", " << width << ", " << height << ", " << align << ")" << std::endl; #endif @@ -1160,9 +1174,15 @@ static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t // Align slices to the value of align const uint32_t padded_width = ggml_vk_align_size(width, align); - if (buf != nullptr) { - vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); + bool reuse_submission = false; + vk_submission submission; + if (s == nullptr) { + submission = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); + s = &submission; + reuse_submission = true; + } + if (buf != nullptr) { std::vector slices(1); if (width == padded_width && width == spitch) { // Only do single write if no padding happens @@ -1178,12 +1198,14 @@ static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t } } - s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); + if (reuse_submission) { + s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + } + ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); if (padded_width > width) { - s.buffer.fillBuffer(dst->buffer, 0, VK_WHOLE_SIZE, 0); + s->buffer.fillBuffer(dst->buffer, 0, VK_WHOLE_SIZE, 0); } - s.buffer.pipelineBarrier( + s->buffer.pipelineBarrier( q.stage_flags, q.stage_flags, {}, @@ -1193,9 +1215,11 @@ static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t }, {} ); - s.buffer.copyBuffer(buf->buffer, dst->buffer, slices); - s.buffer.end(); - return { s }; + s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); + if (reuse_submission) { + s->buffer.end(); + } + return { *s }; } // Staging buffer required, malloc because of async transfer @@ -1204,17 +1228,19 @@ static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t *dst->sb_write = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); } - vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); - vk::BufferCopy buf_copy = { 0, offset, padded_width * height}; - s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eTransferWrite, false); - s.buffer.copyBuffer(dst->sb_write->buffer, dst->buffer, { buf_copy }); - s.buffer.end(); + if (reuse_submission) { + s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + } + ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eTransferWrite, false); + s->buffer.copyBuffer(dst->sb_write->buffer, dst->buffer, { buf_copy }); + if (reuse_submission) { + s->buffer.end(); + } const size_t zeropad = padded_width - width; @@ -1227,14 +1253,14 @@ static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t } } - return { s }; + return { *s }; } -static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { +static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; #endif - return ggml_vk_buffer_write_2d_async(dst, offset, src, 0, size, 1, q, std::move(wait_semaphores), std::move(signal_semaphores)); + return ggml_vk_buffer_write_2d_async(dst, offset, src, 0, size, 1, q, std::move(wait_semaphores), std::move(signal_semaphores), s); } static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q) { @@ -1244,7 +1270,7 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1, q); } -static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { +static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_read_async(" << size << ")" << std::endl; #endif @@ -1271,13 +1297,23 @@ static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void buf_offset, // dstOffset, size}; // size - vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); - s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*src) }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead, false); - vkCmdCopyBuffer(s.buffer, src->buffer, buf->buffer, 1, &buf_copy); - s.buffer.end(); + bool reuse_submission = false; + vk_submission submission; + if (s == nullptr) { + submission = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); + s = &submission; + reuse_submission = true; + } + if (reuse_submission) { + s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + } + ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*src) }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead, false); + vkCmdCopyBuffer(s->buffer, src->buffer, buf->buffer, 1, &buf_copy); + if (reuse_submission) { + s->buffer.end(); + } - return { s }; + return { *s }; } static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q) { @@ -1352,7 +1388,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } } -static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { +static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_h2d_tensor_2d()" << std::endl; #endif @@ -1369,10 +1405,10 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const st const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); if (nb0 == ts && nb1 == row_length) { - return ggml_vk_buffer_write_async(dst, offset, x, ne1*nb1, q, std::move(wait_semaphores), std::move(signal_semaphores)); + return ggml_vk_buffer_write_async(dst, offset, x, ne1*nb1, q, std::move(wait_semaphores), std::move(signal_semaphores), s); } if (nb0 == ts) { - return ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, ne1, q, std::move(wait_semaphores), std::move(signal_semaphores)); + return ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, ne1, q, std::move(wait_semaphores), std::move(signal_semaphores), s); } GGML_ASSERT(false); // TODO: also needs handling of staging buffers @@ -2101,10 +2137,7 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr); // NOLINT GGML_ASSERT(dmmv != nullptr); - std::vector compute_seqs; - std::vector transfer_0_seqs; - std::vector transfer_1_seqs; - std::vector transfer_2_seqs; + std::vector seqs; // Allocate descriptor sets if (qy_needs_dequant) { @@ -2122,76 +2155,46 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const uint32_t y_offset = y_sz * it_idx; const uint32_t d_offset = d_sz * it_idx; - vk::Semaphore s_x; - vk::Semaphore s_y; - vk::Semaphore s_q; - - const vk::Semaphore s_mm = ggml_vk_create_semaphore(compq); - - std::vector q_semaphores; - std::vector mm_semaphores; - submit_counter++; + vk_submission s = ggml_vk_begin_submission(compq); + if (load_x) { - s_x = ggml_vk_create_semaphore(compq); - mm_semaphores.push_back(s_x); - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qx, qx_offset, src0, i03, i02, compq, {}, { s_x })); - } - if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(compq, transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_h2d_tensor_2d(&d_Qx, qx_offset, src0, i03, i02, compq, {}, {}, &s); } if (load_y) { - s_y = ggml_vk_create_semaphore(compq); - if (qy_needs_dequant) { - q_semaphores.push_back(s_y); - } else { - mm_semaphores.push_back(s_y); - } - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qy, qy_offset, src1, i03, i02, compq, {}, { s_y })); - } - if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(compq, transfer_1_seqs, VK_NULL_HANDLE); + ggml_vk_h2d_tensor_2d(&d_Qy, qy_offset, src1, i03, i02, compq, {}, {}, &s); } if (qy_needs_dequant) { - s_q = ggml_vk_create_semaphore(compq); - vk_submission s = ggml_vk_begin_submission(compq); const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { { d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { { d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_sync_buffers(s.buffer, { { d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(s.buffer, { { d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); ggml_vk_dispatch_pipeline(s, *to_fp16_vk_1, { { d_Qy, qy_offset, qy_sz }, { d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); - ggml_vk_end_submission(s, std::move(q_semaphores), { s_q }); - compute_seqs.push_back({ s }); - - mm_semaphores.push_back(s_q); } // compute const int ncols = ne00; - vk_submission s = ggml_vk_begin_submission(compq); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_Qx), ggml_vk_subbuffer(d_Y) }, compq, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_sync_buffers(s.buffer, { { d_Qx, qx_offset, qx_sz }, { d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(s.buffer, { { d_D, d_offset, d_sz } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); ggml_vk_dispatch_pipeline(s, *dmmv, { { d_Qx, qx_offset, qx_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz } }, sizeof(int), &ncols, { (uint32_t)ne01, 1, 1}); - ggml_vk_end_submission(s, std::move(mm_semaphores), { s_mm }); - compute_seqs.push_back({ s }); - - if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(compq, compute_seqs, VK_NULL_HANDLE); - } // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - transfer_2_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, compq, { s_mm }, {})); + ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, compq, {}, {}, &s); + + ggml_vk_end_submission(s, {}, {}); + + seqs.push_back({ s }); if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(compq, transfer_2_seqs, VK_NULL_HANDLE); + ggml_vk_submit(compq, seqs, VK_NULL_HANDLE); submit_counter = 0; } } } - ggml_vk_submit(compq, compute_seqs, VK_NULL_HANDLE); + ggml_vk_submit(compq, seqs, VK_NULL_HANDLE); compq.queue.waitIdle(); From dc6e677c4025ce501802aa8c5ab1a1a6a4babb3c Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 30 Jul 2023 19:10:15 +0200 Subject: [PATCH 064/142] Reduce overhead of mul_f32 calls by using a single command buffer --- ggml-vulkan.cpp | 83 ++++++++++++++++++++++++++++--------------------- 1 file changed, 48 insertions(+), 35 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 03d2f4fe83126..1c08dbbc238d6 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -2276,6 +2276,8 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; + GGML_ASSERT(nb10 == sizeof(float)); + const uint32_t buf_sz = ggml_vk_align_size(sizeof(float) * ne0, vk_device.properties.limits.minStorageBufferOffsetAlignment); vk_buffer d_X; @@ -2293,60 +2295,71 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { - const uint32_t buf_offset = buf_sz * (i03 * ne02 + i02); + if (ne03 > 1 || ne02 > 1) { + const uint32_t buf_offset = buf_sz * (i03 * ne02 + i02); - vk::Semaphore s_x = ggml_vk_create_semaphore(vk_device.compute_queue); - vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); - // copy src0 to device - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, buf_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); + vk::Semaphore s_x = ggml_vk_create_semaphore(vk_device.compute_queue); + vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); + // copy src0 to device + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, buf_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); - ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - if (nb10 == sizeof(float)) { - // Contiguous, avoid overhead from queueing many kernel runs const int64_t i13 = i03%ne13; const int64_t i12 = i02%ne12; const int i1 = i13*ne12*ne11 + i12*ne11; const std::vector pc = { (int)ne00, (int)ne01, (int)ne00, (int)ne00, (int)ne00, 0, (int)(i1 * ne10), 0 }; vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_f32, { { d_X, buf_offset, buf_sz }, { d_Y, 0, (uint32_t) d_Y.size }, { d_D, buf_offset, buf_sz } }, sizeof(int) * pc.size(), pc.data(), { (uint32_t)ne00, (uint32_t)ne01, 1}); ggml_vk_end_submission(s, { s_x }, { s_mm }); compute_seqs.push_back({ s }); + + // copy dst to host + float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + transfer_1_seqs.push_back(ggml_vk_buffer_read_async(&d_D, buf_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { s_mm }, {})); + + ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); } else { - GGML_ASSERT(false); - for (int64_t i01 = 0; i01 < ne01; i01++) { - const int64_t i13 = i03%ne13; - const int64_t i12 = i02%ne12; - const int64_t i11 = i01%ne11; - const int i1 = i13*ne12*ne11 + i12*ne11 + i11; - - const std::vector pc = { (int)ne00, 1, (int)ne00, (int)ne00, (int)ne00, (int)(i01 * ne00), (int)(i1 * ne10), (int)(i01*ne00) }; - vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_f32, { { d_X, buf_offset, buf_sz }, { d_Y, 0, (uint32_t) d_Y.size }, { d_D, buf_offset, buf_sz } }, sizeof(int) * pc.size(), pc.data(), { (uint32_t)ne00, 1, 1}); - ggml_vk_end_submission(s, { s_x }, { s_mm }); - compute_seqs.push_back({ s }); - } - } + vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); + // copy src0 to device + ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_device.compute_queue, {}, {}, &s); - // copy dst to host - float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - transfer_1_seqs.push_back(ggml_vk_buffer_read_async(&d_D, buf_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { s_mm }, {})); + const int64_t i13 = i03%ne13; + const int64_t i12 = i02%ne12; + const int i1 = i13*ne12*ne11 + i12*ne11; - ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + const std::vector pc = { (int)ne00, (int)ne01, (int)ne00, (int)ne00, (int)ne00, 0, (int)(i1 * ne10), 0 }; + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_f32, { { d_X, 0, buf_sz }, { d_Y, 0, (uint32_t) d_Y.size }, { d_D, 0, buf_sz } }, sizeof(int) * pc.size(), pc.data(), { (uint32_t)ne00, (uint32_t)ne01, 1}); + + // copy dst to host + float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * ne00 * ne01, vk_device.compute_queue, {}, {}, &s); + ggml_vk_end_submission(s, {}, {}); + + compute_seqs.push_back({ s }); + + ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); + } } } - vk_device.transfer_queues[1].queue.waitIdle(); + if (ne03 > 1 || ne02 > 1) { + vk_device.transfer_queues[1].queue.waitIdle(); - ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); - ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); - ggml_vk_queue_cleanup(vk_device.compute_queue); + ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); + ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + ggml_vk_queue_cleanup(vk_device.compute_queue); + } else { + vk_device.compute_queue.queue.waitIdle(); + + ggml_vk_queue_cleanup(vk_device.compute_queue); + } ggml_vk_pipeline_cleanup(vk_pipeline_mul_f32); From 75788fe9b0dd7e0f6b8a93ee5813553216124def Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 1 Aug 2023 21:28:40 +0200 Subject: [PATCH 065/142] Add submission batching to mul_f32 --- ggml-vulkan.cpp | 20 ++++++++++++++++---- 1 file changed, 16 insertions(+), 4 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 1c08dbbc238d6..8cec2a22cdebc 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -2293,8 +2293,12 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, // Allocate descriptor sets ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_mul_f32, ne02 * ne03); + int submit_counter = 0; + for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { + const uint32_t it_idx = (i03 * ne02 + i02); + submit_counter++; if (ne03 > 1 || ne02 > 1) { const uint32_t buf_offset = buf_sz * (i03 * ne02 + i02); @@ -2303,7 +2307,9 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, // copy src0 to device transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, buf_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); - ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { + ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + } const int64_t i13 = i03%ne13; const int64_t i12 = i02%ne12; @@ -2321,8 +2327,11 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); transfer_1_seqs.push_back(ggml_vk_buffer_read_async(&d_D, buf_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { s_mm }, {})); - ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { + ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); + submit_counter = 0; + } } else { vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); // copy src0 to device @@ -2344,7 +2353,10 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, compute_seqs.push_back({ s }); - ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); + if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { + ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); + submit_counter = 0; + } } } } From c638955bfa63d6792e7b278c4c61bd858f30fb76 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 1 Aug 2023 21:52:57 +0200 Subject: [PATCH 066/142] Fix tests --- ggml-vulkan.cpp | 17 ++++++++++++++++- 1 file changed, 16 insertions(+), 1 deletion(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 8cec2a22cdebc..eab534549db7e 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -2598,6 +2598,11 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp const size_t kpad = ggml_vk_align_size(k, p->align); + ggml_vk_pipeline_allocate_descriptor_sets(*p, num_it); + if (split_k > 1) { + ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); + } + vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; @@ -2667,6 +2672,9 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp ggml_vk_pool_free(d_Y); ggml_vk_pool_free(d_D); + ggml_vk_pipeline_cleanup(*p); + ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); + free(x); free(y); free(d); @@ -2702,6 +2710,11 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp const size_t kpad = ggml_vk_align_size(k, p->align); + ggml_vk_pipeline_allocate_descriptor_sets(*p, num_it); + if (split_k > 1) { + ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); + } + vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; @@ -2776,9 +2789,11 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp ggml_vk_pool_free(d_X); ggml_vk_pool_free(d_Y); - ggml_vk_pool_free(d_D); + ggml_vk_pipeline_cleanup(*p); + ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); + free(x); free(y); free(d); From 44bbc85aaf4bccc9573b68bbaf91ccb2dc780391 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 2 Aug 2023 22:04:43 +0200 Subject: [PATCH 067/142] Add missing barrier --- ggml-vulkan.cpp | 1 + 1 file changed, 1 insertion(+) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index eab534549db7e..89be9a57e0c4c 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -2181,6 +2181,7 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + ggml_vk_sync_buffers(s.buffer, { { d_D, d_offset, d_sz } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, compq, {}, {}, &s); ggml_vk_end_submission(s, {}, {}); From ccd25927829feda05045702be1843e5d529d4da1 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 6 Aug 2023 05:25:33 +0200 Subject: [PATCH 068/142] Add further missing barrier --- ggml-vulkan.cpp | 1 + 1 file changed, 1 insertion(+) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 89be9a57e0c4c..83cbe42e2eee4 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -2346,6 +2346,7 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_f32, { { d_X, 0, buf_sz }, { d_Y, 0, (uint32_t) d_Y.size }, { d_D, 0, buf_sz } }, sizeof(int) * pc.size(), pc.data(), { (uint32_t)ne00, (uint32_t)ne01, 1}); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); From e660943d3dfff8d256054ee2282a13f0337f66ce Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Mon, 7 Aug 2023 06:02:57 +0200 Subject: [PATCH 069/142] Add further ops --- Makefile | 3 + ggml-vulkan.cpp | 330 +++++++++++++++----------------- vk_shaders/add_f16_f32_f16.glsl | 33 ++++ vk_shaders/add_f32.glsl | 31 +++ vk_shaders/mul_f32.glsl | 1 + vk_shaders/scale_f32.glsl | 30 +++ 6 files changed, 249 insertions(+), 179 deletions(-) create mode 100644 vk_shaders/add_f16_f32_f16.glsl create mode 100644 vk_shaders/add_f32.glsl create mode 100644 vk_shaders/scale_f32.glsl diff --git a/Makefile b/Makefile index 3bda7257f1d36..4e3e55dbd46b1 100644 --- a/Makefile +++ b/Makefile @@ -247,6 +247,9 @@ ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_f16_f32.glsl -o vk_shaders/dequant_mul_mat_vec_f16_f32.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl -o vk_shaders/dequant_mul_mat_vec_q4_0_f32.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/mul_f32.glsl -o vk_shaders/mul_f32.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/add_f32.glsl -o vk_shaders/add_f32.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/add_f16_f32_f16.glsl -o vk_shaders/add_f16_f32_f16.spv & \ + glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/scale_f32.glsl -o vk_shaders/scale_f32.spv & \ wait endif diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 83cbe42e2eee4..b61c39520ecdb 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -130,6 +130,18 @@ struct vk_device { typedef std::vector vk_sequence; +struct vk_op_push_constants { + int M; + int N; + int stride_x; + int stride_y; + int stride_d; + int x_offset; + int y_offset; + int d_offset; + float scale; +}; + vk::Instance vk_instance; vk_device vk_device; vk_pipeline vk_pipeline_matmul_f32_l, vk_pipeline_matmul_f32_m, vk_pipeline_matmul_f32_s; @@ -142,6 +154,8 @@ vk_pipeline vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_dequant_mul_mat_vec_f16, vk_pipeline_dequant_mul_mat_vec_q4_0; vk_pipeline vk_pipeline_dequant_mul_mat_vec_f16_f32, vk_pipeline_dequant_mul_mat_vec_q4_0_f32; vk_pipeline vk_pipeline_mul_f32; +vk_pipeline vk_pipeline_add_f32, vk_pipeline_add_f16_f32_f16; +vk_pipeline vk_pipeline_scale_f32; vk_pipeline vk_pipeline_f32_to_f16, vk_pipeline_dequant_q4_0; static std::vector> vk_pinned_memory; @@ -759,7 +773,12 @@ void ggml_vk_init(void) { vk_pipeline_dequant_mul_mat_vec_f16_f32 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_f16_f32.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); vk_pipeline_dequant_mul_mat_vec_q4_0_f32 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_q4_0_f32.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_mul_f32 = ggml_vk_create_pipeline("vk_shaders/mul_f32.spv", "main", 3, 8 * sizeof(int), {32, 32, 1}, {}, 1); + vk_pipeline_mul_f32 = ggml_vk_create_pipeline("vk_shaders/mul_f32.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + + vk_pipeline_add_f32 = ggml_vk_create_pipeline("vk_shaders/add_f32.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline("vk_shaders/add_f16_f32_f16.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + + vk_pipeline_scale_f32 = ggml_vk_create_pipeline("vk_shaders/scale_f32.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); // Queues uint32_t queue_index_offset = compute_queue_family_index == transfer_queue_family_index ? 1 : 0; @@ -1713,148 +1732,6 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pool_free(d_D); } -static void ggml_vk_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_f16((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; - std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; - std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; -#endif - GGML_ASSERT(vk_device.fp16); - - GGML_ASSERT(src0->type == GGML_TYPE_F16); - GGML_ASSERT(src1->type == GGML_TYPE_F32); - - const int64_t ne00 = src0->ne[0]; - const int64_t ne01 = src0->ne[1]; - const int64_t ne02 = src0->ne[2]; - const int64_t ne03 = src0->ne[3]; - - const int64_t ne10 = src1->ne[0]; - const int64_t ne11 = src1->ne[1]; - - const int nb10 = src1->nb[0]; - const int nb11 = src1->nb[1]; - const int nb12 = src1->nb[2]; - const int nb13 = src1->nb[3]; - - const int nb2 = dst->nb[2]; - const int nb3 = dst->nb[3]; - - const int x_ne = ne01 * ne00; - const int y_ne = ne11 * ne10; - const int d_ne = ne11 * ne01; - - const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); - - const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); - - vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, true, ne01, ne11, ne10 == kpad); - - const uint32_t x_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t y_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment); - - vk_buffer d_X; - vk_buffer d_Y; - vk_buffer d_D; - if (src0->backend == GGML_BACKEND_GPU) { - d_X = *(vk_buffer*) src0->data; - } else { - ggml_vk_pool_malloc(x_sz * ne02 * ne03, &d_X, {}); - } - ggml_vk_pool_malloc(y_sz * ne02 * ne03, &d_Y, {}); - ggml_vk_pool_malloc(d_sz * ne02 * ne03, &d_D, {}); - - const bool src1_cont_rows = nb10 == sizeof(float); - const bool src1_cont_cols = (size_t)nb11 == ne11*sizeof(float); - - std::vector compute_seqs; - std::vector transfer_0_seqs; - std::vector transfer_1_seqs; - - const bool load_x = src0->backend != GGML_BACKEND_GPU; - - // Allocate descriptor sets - ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); - if (split_k > 1) { - ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne02 * ne03); - } - - for (int64_t i03 = 0; i03 < ne03; i03++) { - for (int64_t i02 = 0; i02 < ne02; i02++) { - const uint32_t x_offset = load_x ? x_sz * (i03 * ne02 + i02) : 0; - const uint32_t y_offset = y_sz * (i03 * ne02 + i02); - const uint32_t d_offset = d_sz * (i03 * ne02 + i02); - - vk::Semaphore s_x; - vk::Semaphore s_y = ggml_vk_create_semaphore(vk_device.compute_queue); - std::vector semaphores = { s_y }; - - // copy data to device - if (load_x) { - s_x = ggml_vk_create_semaphore(vk_device.compute_queue); - semaphores.push_back(s_x); - // Wait for previous matmul to be done before writing to the input buffers again - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); - } - - ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d_f32_to_f16(&d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y })); - - // compute - vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(semaphores), { s_mm })); - - // copy dst to host - float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - float * d_chk = (float *) ggml_vk_host_malloc(sizeof(float) * d_ne); - transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d_chk, sizeof(float) * d_ne, vk_device.transfer_queues[0], { s_mm }, {})); - - ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); - - //DEBUG - ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - vk_device.transfer_queues[0].queue.waitIdle(); - - double err = 0.0; - - for (int i = 0; i < d_ne; i++) { - double abs_err = fabs(d[i] - d_chk[i]); - err += abs_err; - } - - err /= d_ne; - - if (err > 0.01) { - std::cerr << "ggml_vk_mul_mat_f16((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; - std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; - std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; - std::cerr << "MUL_MAT_F16 i02=" << i02 << " i03=" << i03 << " avg_err=" << err << std::endl; - } - - ggml_vk_host_free(d_chk); - } - } - - ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - - vk_device.transfer_queues[0].queue.waitIdle(); - - ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); - ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); - ggml_vk_queue_cleanup(vk_device.compute_queue); - - ggml_vk_pipeline_cleanup(*pipeline); - ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); - - if (src0->backend != GGML_BACKEND_GPU) { - ggml_vk_pool_free(d_X); - } - ggml_vk_pool_free(d_Y); - ggml_vk_pool_free(d_D); -} - static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat_q_f16((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; @@ -2257,76 +2134,140 @@ static void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_t } } -static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static vk_pipeline* ggml_vk_op_get_pipeline(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op) { + switch (op) { + case GGML_OP_ADD: + if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_add_f32; + } else if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F16) { + return &vk_pipeline_add_f16_f32_f16; + } + return nullptr; + case GGML_OP_MUL: + if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_mul_f32; + } + return nullptr; + case GGML_OP_SCALE: + if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_scale_f32; + } + return nullptr; + default: + return nullptr; + } +} + +static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, float scale=0.0f) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_f32((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; + std::cerr << "ggml_vk_op_f32((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; - std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; + std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "), " << ggml_op_name(op) << ")" << std::endl; #endif - GGML_ASSERT(src1->backend == GGML_BACKEND_GPU); + GGML_ASSERT(!ggml_is_quantized(src0->type) && !ggml_is_quantized(src1->type)); // NOLINT const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; const int64_t ne02 = src0->ne[2]; const int64_t ne03 = src0->ne[3]; const int64_t ne0 = ne00 * ne01 * ne02 * ne03; - const int64_t ne10 = src1->ne[0]; - const int64_t ne11 = src1->ne[1]; - const int64_t ne12 = src1->ne[2]; - const int64_t ne13 = src1->ne[3]; - const int64_t nb10 = src1->nb[0]; + const bool use_src1 = src1 != nullptr; + const int64_t ne10 = use_src1 ? src1->ne[0] : 0; + const int64_t ne11 = use_src1 ? src1->ne[1] : 0; + const int64_t ne12 = use_src1 ? src1->ne[2] : 0; + const int64_t ne13 = use_src1 ? src1->ne[3] : 0; + const int64_t ne1 = ne10 * ne11 * ne12 * ne13; + const int64_t nb10 = use_src1 ? src1->nb[0] : 0; const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; + GGML_ASSERT(dst->ne[0] * dst->ne[1] * dst->ne[2] * dst->ne[3] == ne0); GGML_ASSERT(nb10 == sizeof(float)); - const uint32_t buf_sz = ggml_vk_align_size(sizeof(float) * ne0, vk_device.properties.limits.minStorageBufferOffsetAlignment); + vk_pipeline* pipeline = ggml_vk_op_get_pipeline(src0, src1, dst, op); + + GGML_ASSERT(pipeline != nullptr); + + const bool transfer_src0 = src0->backend != GGML_BACKEND_GPU; + const bool transfer_src1 = use_src1 && src1->backend != GGML_BACKEND_GPU; + + const uint32_t x_sz = ggml_vk_align_size(ggml_type_size(src0->type) * ne0, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t y_sz = use_src1 ? ggml_vk_align_size(ggml_type_size(src1->type) * ne1, vk_device.properties.limits.minStorageBufferOffsetAlignment) : 0; + const uint32_t d_sz = ggml_vk_align_size(ggml_type_size(dst->type) * ne0, vk_device.properties.limits.minStorageBufferOffsetAlignment); vk_buffer d_X; - vk_buffer d_Y = *(vk_buffer*) src1->data; + vk_buffer d_Y; vk_buffer d_D; - ggml_vk_pool_malloc(buf_sz * ne02 * ne03, &d_X, {}); - ggml_vk_pool_malloc(buf_sz * ne02 * ne03, &d_D, {}); + if (transfer_src0) { + ggml_vk_pool_malloc(x_sz * ne02 * ne03, &d_X, {}); + } else { + d_X = *(vk_buffer*) src0->data; + } + if (transfer_src1) { + ggml_vk_pool_malloc(y_sz * ne02 * ne03, &d_Y, {}); + } else if (use_src1) { + d_Y = *(vk_buffer*) src1->data; + } + ggml_vk_pool_malloc(d_sz * ne02 * ne03, &d_D, {}); std::vector compute_seqs; std::vector transfer_0_seqs; std::vector transfer_1_seqs; // Allocate descriptor sets - ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_mul_f32, ne02 * ne03); + ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); int submit_counter = 0; + vk_op_push_constants pc = { (int)ne00, (int)ne01, (int)ne00, (int)ne00, (int)ne00, 0, 0, 0, scale }; + for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { const uint32_t it_idx = (i03 * ne02 + i02); submit_counter++; if (ne03 > 1 || ne02 > 1) { - const uint32_t buf_offset = buf_sz * (i03 * ne02 + i02); + const uint32_t x_offset = transfer_src0 ? x_sz * (i03 * ne02 + i02) : 0; + const uint32_t y_offset = transfer_src1 ? y_sz * (i03 * ne02 + i02) : 0; + const uint32_t d_offset = d_sz * (i03 * ne02 + i02); - vk::Semaphore s_x = ggml_vk_create_semaphore(vk_device.compute_queue); + vk::Semaphore s_x; + vk::Semaphore s_y; vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); + std::vector transfer_semaphores; // copy src0 to device - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, buf_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); + if (transfer_src0) { + s_x = ggml_vk_create_semaphore(vk_device.transfer_queues[0]); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); + transfer_semaphores.push_back(s_x); + } + if (transfer_src1) { + s_y = ggml_vk_create_semaphore(vk_device.transfer_queues[1]); + transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y })); + transfer_semaphores.push_back(s_y); + } if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); } const int64_t i13 = i03%ne13; const int64_t i12 = i02%ne12; - const int i1 = i13*ne12*ne11 + i12*ne11; + pc.y_offset = (i13*ne12*ne11 + i12*ne11) * ne10; - const std::vector pc = { (int)ne00, (int)ne01, (int)ne00, (int)ne00, (int)ne00, 0, (int)(i1 * ne10), 0 }; vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_f32, { { d_X, buf_offset, buf_sz }, { d_Y, 0, (uint32_t) d_Y.size }, { d_D, buf_offset, buf_sz } }, sizeof(int) * pc.size(), pc.data(), { (uint32_t)ne00, (uint32_t)ne01, 1}); + if (use_src1) { + ggml_vk_dispatch_pipeline(s, *pipeline, { { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); + } else { + ggml_vk_dispatch_pipeline(s, *pipeline, { { d_X, x_offset, x_sz }, { d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); + } ggml_vk_end_submission(s, { s_x }, { s_mm }); compute_seqs.push_back({ s }); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - transfer_1_seqs.push_back(ggml_vk_buffer_read_async(&d_D, buf_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { s_mm }, {})); + transfer_1_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { s_mm }, {})); if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); @@ -2334,18 +2275,29 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, submit_counter = 0; } } else { + // Reduce overhead by only using one command buffer + vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); // copy src0 to device - ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_device.compute_queue, {}, {}, &s); - - const int64_t i13 = i03%ne13; - const int64_t i12 = i02%ne12; - const int i1 = i13*ne12*ne11 + i12*ne11; + if (transfer_src0 && transfer_src1) { + ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_device.compute_queue, {}, {}, &s); + ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_device.compute_queue, {}, {}, &s); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + } else if (transfer_src0) { + ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_device.compute_queue, {}, {}, &s); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + } + if (transfer_src1) { + ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_device.compute_queue, {}, {}, &s); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + } - const std::vector pc = { (int)ne00, (int)ne01, (int)ne00, (int)ne00, (int)ne00, 0, (int)(i1 * ne10), 0 }; - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_f32, { { d_X, 0, buf_sz }, { d_Y, 0, (uint32_t) d_Y.size }, { d_D, 0, buf_sz } }, sizeof(int) * pc.size(), pc.data(), { (uint32_t)ne00, (uint32_t)ne01, 1}); + if (use_src1) { + ggml_vk_dispatch_pipeline(s, *pipeline, { { d_X, 0, x_sz }, { d_Y, 0, y_sz }, { d_D, 0, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); + } else { + ggml_vk_dispatch_pipeline(s, *pipeline, { { d_X, 0, x_sz }, { d_D, 0, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); + } ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); // copy dst to host @@ -2355,10 +2307,7 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, compute_seqs.push_back({ s }); - if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); - submit_counter = 0; - } + ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); } } } @@ -2375,15 +2324,22 @@ static void ggml_vk_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_vk_queue_cleanup(vk_device.compute_queue); } - ggml_vk_pipeline_cleanup(vk_pipeline_mul_f32); + ggml_vk_pipeline_cleanup(*pipeline); ggml_vk_pool_free(d_X); ggml_vk_pool_free(d_D); } +static void ggml_vk_add(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { + ggml_vk_op_f32(src0, src1, dst, GGML_OP_ADD); +} + static void ggml_vk_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { - GGML_ASSERT(src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32); // NOLINT - ggml_vk_mul_f32(src0, src1, dst); + ggml_vk_op_f32(src0, src1, dst, GGML_OP_MUL); +} + +static void ggml_vk_scale(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { + ggml_vk_op_f32(src0, src1, dst, GGML_OP_SCALE, ((float *)src1->data)[0]); } void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { @@ -2423,6 +2379,14 @@ bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_te || (tensor->src[1] != nullptr && tensor->src[1]->backend == GGML_BACKEND_GPU); switch (tensor->op) { + case GGML_OP_ADD: + if (!any_on_device) { + return false; + } + + func = ggml_vk_add; + + break; case GGML_OP_MUL: if (!any_on_device) { return false; @@ -2430,6 +2394,14 @@ bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_te func = ggml_vk_mul; + break; + case GGML_OP_SCALE: + if (!any_on_device) { + return false; + } + + func = ggml_vk_scale; + break; case GGML_OP_MUL_MAT: if (!any_on_device && !ggml_vk_can_mul_mat(tensor->src[0], tensor->src[1], tensor)) { diff --git a/vk_shaders/add_f16_f32_f16.glsl b/vk_shaders/add_f16_f32_f16.glsl new file mode 100644 index 0000000000000..88b9e9488b91d --- /dev/null +++ b/vk_shaders/add_f16_f32_f16.glsl @@ -0,0 +1,33 @@ +#version 450 + +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require + +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; + +layout (binding = 0) buffer X { float16_t data_x[]; }; +layout (binding = 1) buffer Y { float data_y[]; }; +layout (binding = 2) buffer D { float16_t data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int stride_x; + int stride_y; + int stride_d; + int x_offset; + int y_offset; + int d_offset; + float scale; +} p; + +void main() { + const int x = int(gl_GlobalInvocationID.x); + const int y = int(gl_GlobalInvocationID.y); + + if (x >= p.M || y >= p.N) { + return; + } + + data_d[p.d_offset + y * p.stride_d + x] = data_x[p.x_offset + y * p.stride_x + x] + float16_t(data_y[p.y_offset + x]); +} diff --git a/vk_shaders/add_f32.glsl b/vk_shaders/add_f32.glsl new file mode 100644 index 0000000000000..d7006a450096a --- /dev/null +++ b/vk_shaders/add_f32.glsl @@ -0,0 +1,31 @@ +#version 450 + +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; + +layout (binding = 0) buffer X { float data_x[]; }; +layout (binding = 1) buffer Y { float data_y[]; }; +layout (binding = 2) buffer D { float data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int stride_x; + int stride_y; + int stride_d; + int x_offset; + int y_offset; + int d_offset; + float scale; +} p; + +void main() { + const int x = int(gl_GlobalInvocationID.x); + const int y = int(gl_GlobalInvocationID.y); + + if (x >= p.M || y >= p.N) { + return; + } + + data_d[p.d_offset + y * p.stride_d + x] = data_x[p.x_offset + y * p.stride_x + x] + data_y[p.y_offset + x]; +} diff --git a/vk_shaders/mul_f32.glsl b/vk_shaders/mul_f32.glsl index 21cc0a79578e3..420c552a9496d 100644 --- a/vk_shaders/mul_f32.glsl +++ b/vk_shaders/mul_f32.glsl @@ -16,6 +16,7 @@ layout (push_constant) uniform parameter int x_offset; int y_offset; int d_offset; + float scale; } p; void main() { diff --git a/vk_shaders/scale_f32.glsl b/vk_shaders/scale_f32.glsl new file mode 100644 index 0000000000000..f1fc4d10eaf56 --- /dev/null +++ b/vk_shaders/scale_f32.glsl @@ -0,0 +1,30 @@ +#version 450 + +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; + +layout (binding = 0) buffer X { float data_x[]; }; +layout (binding = 1) buffer D { float data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int stride_x; + int stride_y; + int stride_d; + int x_offset; + int y_offset; + int d_offset; + float scale; +} p; + +void main() { + const int x = int(gl_GlobalInvocationID.x); + const int y = int(gl_GlobalInvocationID.y); + + if (x >= p.M || y >= p.N) { + return; + } + + data_d[p.d_offset + y * p.stride_d + x] = data_x[p.x_offset + y * p.stride_x + x] * p.scale; +} From a07f603a3ef3230014a476b594553054880796e4 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 11 Aug 2023 05:29:26 +0200 Subject: [PATCH 070/142] Replace vk::QueueFamilyIgnored with VK_QUEUE_FAMILY_IGNORED to support more Vulkan header versions --- ggml-vulkan.cpp | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index b61c39520ecdb..92da47f681118 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -531,7 +531,7 @@ static vk_buffer ggml_vk_create_buffer(size_t size, vk::MemoryPropertyFlags req_ buf.sb_write = nullptr; buf.sb_read = nullptr; - buf.qf_owner = vk::QueueFamilyIgnored; + buf.qf_owner = VK_QUEUE_FAMILY_IGNORED; return buf; } @@ -550,14 +550,14 @@ static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vectorbuffer, 0, VK_WHOLE_SIZE } + { vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryWrite, VK_QUEUE_FAMILY_IGNORED, VK_QUEUE_FAMILY_IGNORED, dst->buffer, 0, VK_WHOLE_SIZE } }, {} ); From 7ac00def7b2f5b89eeeb1dd59af1a6350bbff386 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 12 Aug 2023 10:22:38 +0200 Subject: [PATCH 071/142] Remove unnecessary cblas link --- Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 4e3e55dbd46b1..669078bd57d6f 100644 --- a/Makefile +++ b/Makefile @@ -228,7 +228,7 @@ endif # LLAMA_METAL ifdef LLAMA_VULKAN CFLAGS += -DGGML_USE_VULKAN CXXFLAGS += -DGGML_USE_VULKAN - LDFLAGS += -lvulkan -lopenblas -lcblas + LDFLAGS += -lvulkan -lopenblas OBJS += ggml-vulkan.o ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h $(CXX) $(CXXFLAGS) -c $< -o $@ From 1132941cb3b908773bd4ac33ae0f3ebcacd07e46 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 12 Aug 2023 10:22:58 +0200 Subject: [PATCH 072/142] Fix descriptor set pre-allocation assert --- ggml-vulkan.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 92da47f681118..95e1edb4fc040 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1028,8 +1028,8 @@ static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, s #endif std::vector descriptor_buffer_infos; std::vector write_descriptor_sets; + GGML_ASSERT(pipeline.descriptor_set_index < pipeline.descriptor_sets.size()); vk::DescriptorSet& descriptor_set = pipeline.descriptor_sets[pipeline.descriptor_set_index++]; - GGML_ASSERT(descriptor_set != nullptr); for (uint32_t i = 0; i < pipeline.parameter_count; i++) { descriptor_buffer_infos.push_back({buffers[i].buffer.buffer, buffers[i].offset, buffers[i].size}); } From a47ca7ae7ad3dd2effd9dfa9d27481783c47e12e Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 13 Aug 2023 11:01:27 +0200 Subject: [PATCH 073/142] Add runtime shader compilation, start transferring shaders to this approach --- Makefile | 6 +- ggml-vulkan-shaders.hpp | 225 +++++++++++++++++++++++ ggml-vulkan.cpp | 167 ++++++++++++----- vk_shaders/dequant_mul_mat_vec_q4_0.glsl | 73 -------- vk_shaders/dequant_q4_0.glsl | 53 ------ vk_shaders/f16_to_f32.glsl | 25 --- vk_shaders/f32_to_f16.glsl | 25 --- vk_shaders/mul_f32.glsl | 31 ---- 8 files changed, 343 insertions(+), 262 deletions(-) create mode 100644 ggml-vulkan-shaders.hpp delete mode 100644 vk_shaders/dequant_mul_mat_vec_q4_0.glsl delete mode 100644 vk_shaders/dequant_q4_0.glsl delete mode 100644 vk_shaders/f16_to_f32.glsl delete mode 100644 vk_shaders/f32_to_f16.glsl delete mode 100644 vk_shaders/mul_f32.glsl diff --git a/Makefile b/Makefile index 669078bd57d6f..d669826a2ab8c 100644 --- a/Makefile +++ b/Makefile @@ -228,7 +228,7 @@ endif # LLAMA_METAL ifdef LLAMA_VULKAN CFLAGS += -DGGML_USE_VULKAN CXXFLAGS += -DGGML_USE_VULKAN - LDFLAGS += -lvulkan -lopenblas + LDFLAGS += -lvulkan -lopenblas -lglslang -lSPIRV -lSPIRV-Tools-opt -lSPIRV-Tools -lshaderc_combined OBJS += ggml-vulkan.o ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h $(CXX) $(CXXFLAGS) -c $< -o $@ @@ -240,13 +240,9 @@ ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16_f32_aligned.glsl -o vk_shaders/matmul_f16_f32_aligned.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_split_k_reduce.glsl -o vk_shaders/matmul_split_k_reduce.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/f16_to_f32.glsl -o vk_shaders/f16_to_f32.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/f32_to_f16.glsl -o vk_shaders/f32_to_f16.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_q4_0.glsl -o vk_shaders/dequant_q4_0.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_f16.glsl -o vk_shaders/dequant_mul_mat_vec_f16.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_q4_0.glsl -o vk_shaders/dequant_mul_mat_vec_q4_0.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_f16_f32.glsl -o vk_shaders/dequant_mul_mat_vec_f16_f32.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl -o vk_shaders/dequant_mul_mat_vec_q4_0_f32.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/mul_f32.glsl -o vk_shaders/mul_f32.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/add_f32.glsl -o vk_shaders/add_f32.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/add_f16_f32_f16.glsl -o vk_shaders/add_f16_f32_f16.spv & \ glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/scale_f32.glsl -o vk_shaders/scale_f32.spv & \ diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp new file mode 100644 index 0000000000000..a2643aa26ac3b --- /dev/null +++ b/ggml-vulkan-shaders.hpp @@ -0,0 +1,225 @@ +#include + +// DEQUANT SHADER +const std::string dequant_head = R"( +#version 450 + +#extension GL_EXT_control_flow_attributes : require +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require +)"; + +const std::string dequant_glsl_fp16_ext = R"( +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require +)"; + +const std::string dequant_output_fp16 = R"( +#define OUT_TYPE float16_t +)"; + +const std::string dequant_output_fp32 = R"( +#define OUT_TYPE float +)"; + +const std::string dequant_q4_0_defines = R"( +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q4_0 +{ + float16_t d; + uint8_t qs[16]; +}; + +#define A_TYPE block_q4_0 +)"; + +const std::string dequant_body = R"( +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { A_TYPE x[]; }; +layout (binding = 1) writeonly buffer D { OUT_TYPE y[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int K; + int stride_a; + int stride_b; +} p; + +void main() { + const int i = int(gl_GlobalInvocationID.x); + + // Transposed + const int row = i % (p.K / QUANT_K); + const int col = i / (p.K / QUANT_K); + + if (row * QUANT_K >= p.K || col >= p.M) { + return; + } + + const int stride_a = p.stride_a / QUANT_K; + + const A_TYPE blk = x[col * stride_a + row]; + const OUT_TYPE d = blk.d; + + [[unroll]] for (int j = 0; j < QUANT_K/2; ++j) { + const OUT_TYPE x0 = OUT_TYPE((blk.qs[j] & 0x0F) - 8); + const OUT_TYPE x1 = OUT_TYPE((blk.qs[j] >> 4) - 8); + + y[col * p.stride_b + row*QUANT_K + j + 0 ] = x0*d; + y[col * p.stride_b + row*QUANT_K + j + QUANT_K/2] = x1*d; + } +} +)"; + +// Mul Mat Vec +const std::string mul_mat_vec_head = R"( +#version 450 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_8bit_storage : require +)"; + +const std::string mul_mat_vec_fp16 = R"( +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require +#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require +)"; + +const std::string mul_mat_vec_q4_0_defines = R"( +#define QUANT_K 32 +#define QUANT_R 2 +#define BLOCK_SIZE 32 + +struct block_q4_0 +{ + float16_t d; + uint8_t qs[16]; +}; +#define A_TYPE block_q4_0 +#define B_TYPE float16_t +#define OUT_TYPE float + +#define DEQUANT_FUNC const float16_t d = x[ib].d; \ +const uint8_t vui = x[ib].qs[iqs]; \ +const int8_t vi0 = int8_t(vui & 0xF); \ +const int8_t vi1 = int8_t(vui >> 4); \ +float16_t v0 = float16_t(vi0 - 8)*d; \ +float16_t v1 = float16_t(vi1 - 8)*d; +)"; + +const std::string mul_mat_vec_body = R"( +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { A_TYPE x[]; }; +layout (binding = 1) readonly buffer B { B_TYPE y[]; }; +layout (binding = 2) writeonly buffer D { OUT_TYPE dst[]; }; + +layout (push_constant) uniform parameter +{ + int ncols; +} p; + +shared float16_t tmp[BLOCK_SIZE]; + +void main() { + const int block_size = int(gl_WorkGroupSize.x); + const int row = int(gl_WorkGroupID.x); + const int tid = int(gl_LocalInvocationID.x); + + const int y_offset = QUANT_K/2; + + tmp[tid] = 0.0hf; + + [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { + const int col = i*block_size + 2*tid; + const int ib = (row*p.ncols + col)/QUANT_K; // block index + const int iqs = (col%QUANT_K)/QUANT_R; // quant index + const int iybs = col - col%QUANT_K; // y block start index + + DEQUANT_FUNC + + // matrix multiplication + tmp[tid] += v0 * y[iybs + iqs + 0]; + tmp[tid] += v1 * y[iybs + iqs + y_offset]; + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s=block_size/2; s>0; s>>=1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + dst[row] = float(tmp[0]); + } +} +)"; + +// F16 to F32 +const std::string f32_to_f16_src = R"( +#version 450 + +#extension GL_EXT_shader_16bit_storage : require + +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { float data_a[]; }; +layout (binding = 1) writeonly buffer D { float16_t data_b[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int K; + int stride_a; + int stride_b; +} p; + +void main() { + const int row = int(gl_GlobalInvocationID.x % p.K); + const int col = int(gl_GlobalInvocationID.x / p.K); + + if (row < p.K && col < p.M) { + data_b[col * p.stride_b + row] = float16_t(data_a[col * p.stride_a + row]); + } +} +)"; + +// MUL F32 +const std::string mul_f32_src = R"( +#version 450 + +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; + +layout (binding = 0) buffer X { float data_x[]; }; +layout (binding = 1) buffer Y { float data_y[]; }; +layout (binding = 2) buffer D { float data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int stride_x; + int stride_y; + int stride_d; + int x_offset; + int y_offset; + int d_offset; + float scale; +} p; + +void main() { + const int x = int(gl_GlobalInvocationID.x); + const int y = int(gl_GlobalInvocationID.y); + + if (x >= p.M || y >= p.N) { + return; + } + + data_d[p.d_offset + y * p.stride_d + x] = data_x[p.x_offset + y * p.stride_x + x] * data_y[p.y_offset + x]; +} +)"; diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 95e1edb4fc040..b0ea9c175aab9 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -27,9 +27,14 @@ #include #include #include +#include + +#include #include "ggml.h" +#include "ggml-vulkan-shaders.hpp" + #define VK_API_VERSION VK_API_VERSION_1_2 #define CEIL_DIV(M, N) (((M) + (N)-1) / (N)) @@ -160,37 +165,39 @@ vk_pipeline vk_pipeline_f32_to_f16, vk_pipeline_dequant_q4_0; static std::vector> vk_pinned_memory; -static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { +static std::vector ggml_vk_compile_shader(const std::string& name, const std::string& src) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_compile_shader(" << name << ", " << src << ")" << std::endl; +#endif + shaderc::Compiler compiler; + shaderc::CompileOptions options; + + shaderc::SpvCompilationResult module = compiler.CompileGlslToSpv(src, shaderc_compute_shader, name.c_str(), options); + + if (module.GetCompilationStatus() != shaderc_compilation_status_success) { + std::cerr << "ggml_vulkan: Shader compile error in " << name << ": " << module.GetErrorMessage(); + return std::vector(); + } + + return {module.cbegin(), module.cend()}; +} + +static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_size, const uint32_t* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_create_pipeline(" << path << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; + std::cerr << "ggml_vk_create_pipeline(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; #endif GGML_ASSERT(parameter_count > 0); - GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); + GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); // NOLINT vk_pipeline pipeline; - pipeline.name = path; + pipeline.name = name; pipeline.parameter_count = parameter_count; pipeline.push_constant_size = push_constant_size; pipeline.wg_denoms = wg_denoms; pipeline.align = align; - std::vector matmul_shader_contents; - if (std::ifstream shader_file{ path, std::ios::binary | std::ios::ate }) { - const size_t file_size = shader_file.tellg(); - shader_file.seekg(0); - matmul_shader_contents.resize(file_size, '\0'); - shader_file.read(matmul_shader_contents.data(), file_size); - } else { - std::cerr << "ggml_vulkan: Invalid shader path " << path << std::endl; - abort(); - } - - vk::ShaderModuleCreateInfo shader_module_create_info( - {}, - matmul_shader_contents.size(), - reinterpret_cast(matmul_shader_contents.data()) - ); + vk::ShaderModuleCreateInfo shader_module_create_info({}, spv_size, spv_data); vk::ShaderModule shader_module = vk_device.device.createShaderModule(shader_module_create_info); std::vector dsl_binding; @@ -279,6 +286,34 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& path, const std::s return pipeline; } +static vk_pipeline ggml_vk_create_pipeline_from_string(const std::string& name, const std::string& src, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_create_pipeline_from_string(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; +#endif + + const std::vector spv = ggml_vk_compile_shader(name, src); + return ggml_vk_create_pipeline(name, spv.size() * sizeof(uint32_t), spv.data(), entrypoint, parameter_count, push_constant_size, wg_denoms, std::move(specialization_constants), align); +} + +static vk_pipeline ggml_vk_create_pipeline_from_file(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_create_pipeline_from_file(" << path << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; +#endif + + std::vector matmul_shader_contents; + if (std::ifstream shader_file{ path, std::ios::binary | std::ios::ate }) { + const size_t file_size = shader_file.tellg(); + shader_file.seekg(0); + matmul_shader_contents.resize(file_size, '\0'); + shader_file.read(matmul_shader_contents.data(), file_size); + } else { + std::cerr << "ggml_vulkan: Invalid shader path " << path << std::endl; + abort(); + } + + return ggml_vk_create_pipeline(path, matmul_shader_contents.size(), reinterpret_cast(matmul_shader_contents.data()), entrypoint, parameter_count, push_constant_size, wg_denoms, std::move(specialization_constants), align); +} + static void ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline& pipeline, uint32_t n) { #ifdef VK_DEBUG std::cerr << "ggml_vk_pipeline_allocate_descriptor_sets(" << pipeline.name << ", " << n << ")" << std::endl; @@ -599,6 +634,42 @@ static void ggml_vk_destroy_buffer(vk_buffer& buf) { } } +static void ggml_vk_generate_shaders() { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_generate_shaders()" << std::endl; +#endif + std::cerr << "ggml_vulkan: Generating and compiling shaders to SPIR-V" << std::endl; + + + // Build dequant q4_0 + std::stringstream stream; + stream << dequant_head; + if (vk_device.fp16) { + stream << dequant_glsl_fp16_ext; + } + stream << dequant_q4_0_defines; + if (vk_device.fp16) { + stream << dequant_output_fp16; + } else { + stream << dequant_output_fp32; + } + stream << dequant_body; + + vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline_from_string("dequant_q4_0", stream.str(), "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); + + // mul mat vec + stream.str(""); + stream.clear(); + + stream << mul_mat_vec_head << mul_mat_vec_fp16 << mul_mat_vec_q4_0_defines << mul_mat_vec_body; + + vk_pipeline_dequant_mul_mat_vec_q4_0 = ggml_vk_create_pipeline_from_string("mul_mat_vec_q4_0", stream.str(), "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + + // Static shaders + vk_pipeline_f32_to_f16 = ggml_vk_create_pipeline_from_string("f32_to_f16", f32_to_f16_src, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); + vk_pipeline_mul_f32 = ggml_vk_create_pipeline_from_string("mul_f32", mul_f32_src, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); +} + void ggml_vk_test_transfer(size_t ne); void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); @@ -741,44 +812,40 @@ void ggml_vk_init(void) { auto warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; // Shaders - vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); if (vk_device.fp16) { - vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_f32.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_f32.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_f32.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_dequant_mul_mat_vec_f16 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_f16.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_q4_0.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f16 = ggml_vk_create_pipeline_from_file("vk_shaders/dequant_mul_mat_vec_f16.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); } - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); - - vk_pipeline_f32_to_f16 = ggml_vk_create_pipeline("vk_shaders/f32_to_f16.spv", "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); - vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline("vk_shaders/dequant_q4_0.spv", "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f16_f32 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_f16_f32.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_q4_0_f32 = ggml_vk_create_pipeline("vk_shaders/dequant_mul_mat_vec_q4_0_f32.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f16_f32 = ggml_vk_create_pipeline_from_file("vk_shaders/dequant_mul_mat_vec_f16_f32.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_q4_0_f32 = ggml_vk_create_pipeline_from_file("vk_shaders/dequant_mul_mat_vec_q4_0_f32.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_mul_f32 = ggml_vk_create_pipeline("vk_shaders/mul_f32.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_add_f32 = ggml_vk_create_pipeline_from_file("vk_shaders/add_f32.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline_from_file("vk_shaders/add_f16_f32_f16.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - vk_pipeline_add_f32 = ggml_vk_create_pipeline("vk_shaders/add_f32.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline("vk_shaders/add_f16_f32_f16.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_scale_f32 = ggml_vk_create_pipeline_from_file("vk_shaders/scale_f32.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - vk_pipeline_scale_f32 = ggml_vk_create_pipeline("vk_shaders/scale_f32.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + ggml_vk_generate_shaders(); // Queues uint32_t queue_index_offset = compute_queue_family_index == transfer_queue_family_index ? 1 : 0; diff --git a/vk_shaders/dequant_mul_mat_vec_q4_0.glsl b/vk_shaders/dequant_mul_mat_vec_q4_0.glsl deleted file mode 100644 index e61e793bf837d..0000000000000 --- a/vk_shaders/dequant_mul_mat_vec_q4_0.glsl +++ /dev/null @@ -1,73 +0,0 @@ -#version 450 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_16bit_storage : require -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require -#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require - -#define QUANT_K 32 -#define QUANT_R 2 -#define BLOCK_SIZE 32 - -layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; - -struct block_q4_0 -{ - float16_t d; - uint8_t qs[16]; -}; - -layout (binding = 0) readonly buffer A { block_q4_0 x[]; }; -layout (binding = 1) readonly buffer B { float16_t y[]; }; -layout (binding = 2) writeonly buffer D { float dst[]; }; - -layout (push_constant) uniform parameter -{ - int ncols; -} p; - -shared float16_t tmp[BLOCK_SIZE]; - -void main() { - const int block_size = int(gl_WorkGroupSize.x); - const int row = int(gl_WorkGroupID.x); - const int tid = int(gl_LocalInvocationID.x); - - const int y_offset = QUANT_K/2; - - tmp[tid] = 0.0hf; - - [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { - const int col = i*block_size + 2*tid; - const int ib = (row*p.ncols + col)/QUANT_K; // block index - const int iqs = (col%QUANT_K)/QUANT_R; // quant index - const int iybs = col - col%QUANT_K; // y block start index - - // dequantize - const float16_t d = x[ib].d; - - const uint8_t vui = x[ib].qs[iqs]; - - const int8_t vi0 = int8_t(vui & 0xF); - const int8_t vi1 = int8_t(vui >> 4); - - float16_t v0 = float16_t(vi0 - 8)*d; - float16_t v1 = float16_t(vi1 - 8)*d; - - // matrix multiplication - tmp[tid] += v0 * y[iybs + iqs + 0]; - tmp[tid] += v1 * y[iybs + iqs + y_offset]; - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (int s=block_size/2; s>0; s>>=1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - if (tid == 0) { - dst[row] = float(tmp[0]); - } -} diff --git a/vk_shaders/dequant_q4_0.glsl b/vk_shaders/dequant_q4_0.glsl deleted file mode 100644 index 73a17b257e0d6..0000000000000 --- a/vk_shaders/dequant_q4_0.glsl +++ /dev/null @@ -1,53 +0,0 @@ -#version 450 - -#extension GL_EXT_control_flow_attributes : require -#extension GL_EXT_shader_16bit_storage : require -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require -#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require - -#define QUANT_K 32 -#define QUANT_R 2 - -layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; - -struct block_q4_0 -{ - float16_t d; - uint8_t qs[16]; -}; - -layout (binding = 0) readonly buffer A { block_q4_0 x[]; }; -layout (binding = 1) writeonly buffer D { float16_t y[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int K; - int stride_a; - int stride_b; -} p; - -void main() { - const int i = int(gl_GlobalInvocationID.x); - - // Transposed - const int row = i % (p.K / QUANT_K); - const int col = i / (p.K / QUANT_K); - - if (row * QUANT_K >= p.K || col >= p.M) { - return; - } - - const int stride_a = p.stride_a / QUANT_K; - - const block_q4_0 blk = x[col * stride_a + row]; - const float16_t d = blk.d; - - [[unroll]] for (int j = 0; j < QUANT_K/2; ++j) { - const float16_t x0 = float16_t((blk.qs[j] & 0x0F) - 8); - const float16_t x1 = float16_t((blk.qs[j] >> 4) - 8); - - y[col * p.stride_b + row*QUANT_K + j + 0 ] = x0*d; - y[col * p.stride_b + row*QUANT_K + j + QUANT_K/2] = x1*d; - } -} diff --git a/vk_shaders/f16_to_f32.glsl b/vk_shaders/f16_to_f32.glsl deleted file mode 100644 index 1c0658a2c62ba..0000000000000 --- a/vk_shaders/f16_to_f32.glsl +++ /dev/null @@ -1,25 +0,0 @@ -#version 450 - -#extension GL_EXT_shader_16bit_storage : require - -layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { float16_t data_a[]; }; -layout (binding = 1) writeonly buffer D { float data_b[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int K; - int stride_a; - int stride_b; -} p; - -void main() { - const int row = int(gl_GlobalInvocationID.x % p.K); - const int col = int(gl_GlobalInvocationID.x / p.K); - - if (row < p.M && col < p.K) { - data_b[col * p.stride_b + row] = float(data_a[col * p.stride_a + row]); - } -} diff --git a/vk_shaders/f32_to_f16.glsl b/vk_shaders/f32_to_f16.glsl deleted file mode 100644 index 8c666cb869a2c..0000000000000 --- a/vk_shaders/f32_to_f16.glsl +++ /dev/null @@ -1,25 +0,0 @@ -#version 450 - -#extension GL_EXT_shader_16bit_storage : require - -layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { float data_a[]; }; -layout (binding = 1) writeonly buffer D { float16_t data_b[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int K; - int stride_a; - int stride_b; -} p; - -void main() { - const int row = int(gl_GlobalInvocationID.x % p.K); - const int col = int(gl_GlobalInvocationID.x / p.K); - - if (row < p.K && col < p.M) { - data_b[col * p.stride_b + row] = float16_t(data_a[col * p.stride_a + row]); - } -} diff --git a/vk_shaders/mul_f32.glsl b/vk_shaders/mul_f32.glsl deleted file mode 100644 index 420c552a9496d..0000000000000 --- a/vk_shaders/mul_f32.glsl +++ /dev/null @@ -1,31 +0,0 @@ -#version 450 - -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; - -layout (binding = 0) buffer X { float data_x[]; }; -layout (binding = 1) buffer Y { float data_y[]; }; -layout (binding = 2) buffer D { float data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int stride_x; - int stride_y; - int stride_d; - int x_offset; - int y_offset; - int d_offset; - float scale; -} p; - -void main() { - const int x = int(gl_GlobalInvocationID.x); - const int y = int(gl_GlobalInvocationID.y); - - if (x >= p.M || y >= p.N) { - return; - } - - data_d[p.d_offset + y * p.stride_d + x] = data_x[p.x_offset + y * p.stride_x + x] * data_y[p.y_offset + x]; -} From 592ebb044d0a63a92a08d20c670ace376f7f879a Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Mon, 14 Aug 2023 09:39:58 +0200 Subject: [PATCH 074/142] Transfer remaining shaders to header and compile on runtime --- CMakeLists.txt | 19 +- Makefile | 15 - ggml-vulkan-shaders.hpp | 353 +++++++++++++++++-- ggml-vulkan.cpp | 153 +++++--- vk_shaders/add_f16_f32_f16.glsl | 33 -- vk_shaders/add_f32.glsl | 31 -- vk_shaders/dequant_mul_mat_vec_f16.glsl | 59 ---- vk_shaders/dequant_mul_mat_vec_f16_f32.glsl | 59 ---- vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl | 73 ---- vk_shaders/matmul_f16.glsl | 145 -------- vk_shaders/matmul_f16_aligned.glsl | 149 -------- vk_shaders/matmul_f16_f32.glsl | 145 -------- vk_shaders/matmul_f16_f32_aligned.glsl | 149 -------- vk_shaders/matmul_f32.glsl | 144 -------- vk_shaders/matmul_f32_aligned.glsl | 140 -------- vk_shaders/matmul_f32_q4_0.glsl | 169 --------- vk_shaders/matmul_split_k_reduce.glsl | 31 -- vk_shaders/scale_f32.glsl | 30 -- 18 files changed, 428 insertions(+), 1469 deletions(-) delete mode 100644 vk_shaders/add_f16_f32_f16.glsl delete mode 100644 vk_shaders/add_f32.glsl delete mode 100644 vk_shaders/dequant_mul_mat_vec_f16.glsl delete mode 100644 vk_shaders/dequant_mul_mat_vec_f16_f32.glsl delete mode 100644 vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl delete mode 100644 vk_shaders/matmul_f16.glsl delete mode 100644 vk_shaders/matmul_f16_aligned.glsl delete mode 100644 vk_shaders/matmul_f16_f32.glsl delete mode 100644 vk_shaders/matmul_f16_f32_aligned.glsl delete mode 100644 vk_shaders/matmul_f32.glsl delete mode 100644 vk_shaders/matmul_f32_aligned.glsl delete mode 100644 vk_shaders/matmul_f32_q4_0.glsl delete mode 100644 vk_shaders/matmul_split_k_reduce.glsl delete mode 100644 vk_shaders/scale_f32.glsl diff --git a/CMakeLists.txt b/CMakeLists.txt index 7da296160b5d0..cd360a3f15492 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -347,27 +347,12 @@ if (LLAMA_CLBLAST) endif() if (LLAMA_VULKAN) - find_package(Vulkan COMPONENTS glslc) + find_package(Vulkan COMPONENTS glslc SPIRV-Tools) if (Vulkan_FOUND) message(STATUS "Vulkan found") add_library(ggml-vulkan STATIC ggml-vulkan.cpp ggml-vulkan.h) - target_link_libraries(ggml-vulkan PUBLIC Vulkan::Vulkan) - - set(GGML_VULKAN_SHADERS matmul_f32 matmul_f16 f16_to_f32 dequant_q4_0) - - foreach(s IN LISTS GGML_VULKAN_SHADERS) - add_custom_command( - OUTPUT "vk_shaders/${s}.spv" - COMMAND "${Vulkan_GLSLC_EXECUTABLE}" - -fshader-stage=compute - --target-env=vulkan1.2 - "${CMAKE_CURRENT_SOURCE_DIR}/vk_shaders/${s}.glsl" - -o "${CMAKE_CURRENT_BINARY_DIR}/vk_shaders/${s}.spv" - DEPENDS "vk_shaders/${s}.glsl" - ) - target_sources(ggml-vulkan PRIVATE "vk_shaders/${s}.spv") - endforeach() + target_link_libraries(ggml-vulkan PUBLIC Vulkan::Vulkan SPIRV SPIRV-Tools-opt SPIRV-Tools shaderc_combined) add_compile_definitions(GGML_USE_VULKAN) diff --git a/Makefile b/Makefile index d669826a2ab8c..f75bfb6176f90 100644 --- a/Makefile +++ b/Makefile @@ -232,21 +232,6 @@ ifdef LLAMA_VULKAN OBJS += ggml-vulkan.o ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h $(CXX) $(CXXFLAGS) -c $< -o $@ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f32.glsl -o vk_shaders/matmul_f32.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f32_aligned.glsl -o vk_shaders/matmul_f32_aligned.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16.glsl -o vk_shaders/matmul_f16.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16_aligned.glsl -o vk_shaders/matmul_f16_aligned.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16_f32.glsl -o vk_shaders/matmul_f16_f32.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_f16_f32_aligned.glsl -o vk_shaders/matmul_f16_f32_aligned.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/matmul_split_k_reduce.glsl -o vk_shaders/matmul_split_k_reduce.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/f16_to_f32.glsl -o vk_shaders/f16_to_f32.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_f16.glsl -o vk_shaders/dequant_mul_mat_vec_f16.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_f16_f32.glsl -o vk_shaders/dequant_mul_mat_vec_f16_f32.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl -o vk_shaders/dequant_mul_mat_vec_q4_0_f32.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/add_f32.glsl -o vk_shaders/add_f32.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/add_f16_f32_f16.glsl -o vk_shaders/add_f16_f32_f16.spv & \ - glslc -fshader-stage=compute --target-env=vulkan1.2 vk_shaders/scale_f32.glsl -o vk_shaders/scale_f32.spv & \ - wait endif ifneq ($(filter aarch64%,$(UNAME_M)),) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index a2643aa26ac3b..2599bdf2d9a44 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -1,24 +1,245 @@ #include -// DEQUANT SHADER -const std::string dequant_head = R"( +// Generic +const std::string shader_f32 = R"( +#define FLOAT_TYPE float +)"; +const std::string shader_f16 = R"( +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require +#define FLOAT_TYPE float16_t +)"; +const std::string shader_int8_ext = R"( +#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require +)"; +const std::string shader_output_f16 = R"( +#define OUT_TYPE float16_t +)"; +const std::string shader_output_f32 = R"( +#define OUT_TYPE float +)"; + +// MULMAT + +const std::string mulmat_head = R"( #version 450 -#extension GL_EXT_control_flow_attributes : require -#extension GL_EXT_shader_16bit_storage : require -#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require +#define WARP 32 + +#extension GL_EXT_control_flow_attributes : enable )"; -const std::string dequant_glsl_fp16_ext = R"( -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require +const std::string mulmat_body = R"( +layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; + +#ifdef ALIGNED_INPUT +#define LOAD_VEC 8 +layout (binding = 0) readonly buffer A { A_TYPE data_a[]; }; +layout (binding = 1) readonly buffer B { B_TYPE data_b[]; }; + +#else + +#define LOAD_VEC 1 +layout (binding = 0) readonly buffer A { A_TYPE data_a[]; }; +layout (binding = 1) readonly buffer B { B_TYPE data_b[]; }; +#endif + +layout (binding = 2) writeonly buffer D { D_TYPE data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int K; + int stride_a; + int stride_b; + int stride_d; + int k_split; +} p; + +layout (constant_id = 1) const int BM = 64; +layout (constant_id = 2) const int BN = 64; +layout (constant_id = 3) const int BK = 16; +layout (constant_id = 4) const int WM = 32; +layout (constant_id = 5) const int WN = 32; +layout (constant_id = 6) const int WMITER = 2; +layout (constant_id = 7) const int TM = 4; +layout (constant_id = 8) const int TN = 2; + +shared FLOAT_TYPE buf_a[BM * (BK+1)]; +shared FLOAT_TYPE buf_b[BN * (BK+1)]; + +void main() { + const int blocks_x = (p.M + BM - 1) / BM; + const int ir = int(gl_WorkGroupID.x) % blocks_x; + const int ik = int(gl_WorkGroupID.x) / blocks_x; + const int ic = int(gl_WorkGroupID.y); + + const int warp_i = int(gl_LocalInvocationID.x / WARP); + const int warp_r = warp_i % (BM / WM); + const int warp_c = warp_i / (BM / WM); + + const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); + const int WSUBM = WM / WMITER; + const int WSUBN = WN / WNITER; + + const int tiw = int(gl_LocalInvocationID.x % WARP); + const int tiwr = tiw % (WSUBM / TM); + const int tiwc = tiw / (WSUBM / TM); + + const int loadr = int(gl_LocalInvocationID.x % (BK / LOAD_VEC)); + const int loadc = int(gl_LocalInvocationID.x / (BK / LOAD_VEC)); + + const int loadstride = int(gl_WorkGroupSize.x * LOAD_VEC) / BK; + + const int start_k = ik * p.k_split; + const int end_k = (ik + 1) * p.k_split; + + int pos_a = ir * BM * p.stride_a / LOAD_VEC + start_k / LOAD_VEC; + int pos_b = ic * BN * p.stride_b / LOAD_VEC + start_k / LOAD_VEC; + + D_TYPE sums[WMITER * TM * WNITER * TN]; + FLOAT_TYPE cache_a[WMITER * TM]; + FLOAT_TYPE cache_b[WNITER * TN]; + + [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { + sums[i] = 0.0f; + } + + [[unroll]] for (int block = start_k; block < end_k; block += BK) { + [[unroll]] for (int l = 0; l < BM; l += loadstride) { +#ifdef ALIGNED_INPUT + A_TYPE tmp = data_a[pos_a + (loadc + l) * p.stride_a / LOAD_VEC + loadr]; + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(tmp[0].x); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(tmp[0].y); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(tmp[0].z); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(tmp[0].w); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 4] = FLOAT_TYPE(tmp[1].x); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 5] = FLOAT_TYPE(tmp[1].y); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 6] = FLOAT_TYPE(tmp[1].z); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 7] = FLOAT_TYPE(tmp[1].w); +#else + if (ir * BM + loadc + l < p.M && block + loadr < p.K) { + buf_a[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(data_a[pos_a + (loadc + l) * p.stride_a + loadr]); + } else { + buf_a[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(0.0f); + } +#endif + } + [[unroll]] for (int l = 0; l < BN; l += loadstride) { +#ifdef ALIGNED_INPUT + B_TYPE tmp = data_b[pos_b + (loadc + l) * p.stride_b / LOAD_VEC + loadr]; + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(tmp[0].x); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(tmp[0].y); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(tmp[0].z); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(tmp[0].w); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 4] = FLOAT_TYPE(tmp[1].x); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 5] = FLOAT_TYPE(tmp[1].y); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 6] = FLOAT_TYPE(tmp[1].z); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 7] = FLOAT_TYPE(tmp[1].w); +#else + if (ic * BN + loadc + l < p.N && block + loadr < p.K) { + buf_b[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(data_b[pos_b + (loadc + l) * p.stride_b + loadr]); + } else { + buf_b[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(0.0f); + } +#endif + } + + barrier(); + + pos_a += BK / LOAD_VEC; + pos_b += BK / LOAD_VEC; + + for (int i = 0; i < min(BK, p.K - block); i++) { + // Load from shared into cache + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int j = 0; j < TM; j++) { + cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; + } + } + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int j = 0; j < TN; j++) { + cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; + } + } + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += D_TYPE(cache_a[wsir * TM + cr]) * D_TYPE(cache_b[wsic * TN + cc]); + } + } + } + } + } + + barrier(); + } + + const int dr = ir * BM + warp_r * WM; + const int dc = ic * BN + warp_c * WN; + + const int k_split_offset = ik * p.M * p.N; + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + + const int dr_warp = dr + wsir * WSUBM + tiwr * TM; + const int dc_warp = dc + wsic * WSUBN + tiwc * TN; + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + if (dr_warp + cr < p.M && dc_warp + cc < p.N) { + data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + } + } + } + } + } +} )"; -const std::string dequant_output_fp16 = R"( -#define OUT_TYPE float16_t +const std::string mulmat_split_k_reduce_src = R"( +#version 450 + +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; + +layout (binding = 0) buffer A { float data[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int k_num; +} p; + +void main() { + const int glr = int(gl_GlobalInvocationID.x); + const int glc = int(gl_GlobalInvocationID.y); + + if (glr >= p.M || glc >= p.N) { + return; + } + + const int idx = glc * p.M + glr; + + float result = 0.0f; + + for (int i = 0; i < p.k_num; i++) { + result += data[i * p.M * p.N + idx]; + } + + data[idx] = result; +} )"; -const std::string dequant_output_fp32 = R"( -#define OUT_TYPE float +// DEQUANT SHADER +const std::string dequant_head = R"( +#version 450 + +#extension GL_EXT_control_flow_attributes : require +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require )"; const std::string dequant_q4_0_defines = R"( @@ -83,9 +304,23 @@ const std::string mul_mat_vec_head = R"( #extension GL_EXT_shader_8bit_storage : require )"; -const std::string mul_mat_vec_fp16 = R"( -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require -#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require +const std::string mul_mat_vec_b_type_f32 = R"( +#define B_TYPE float +)"; + +const std::string mul_mat_vec_b_type_f16 = R"( +#define B_TYPE float16_t +)"; + +const std::string mul_mat_vec_f16_defines = R"( +#define QUANT_K 32 +#define QUANT_R 2 +#define BLOCK_SIZE 32 + +#define A_TYPE float16_t + +#define DEQUANT_FUNC float16_t v0 = x[ib + 0]; \ +float16_t v1 = x[ib + 1]; )"; const std::string mul_mat_vec_q4_0_defines = R"( @@ -99,8 +334,6 @@ struct block_q4_0 uint8_t qs[16]; }; #define A_TYPE block_q4_0 -#define B_TYPE float16_t -#define OUT_TYPE float #define DEQUANT_FUNC const float16_t d = x[ib].d; \ const uint8_t vui = x[ib].qs[iqs]; \ @@ -122,7 +355,7 @@ layout (push_constant) uniform parameter int ncols; } p; -shared float16_t tmp[BLOCK_SIZE]; +shared FLOAT_TYPE tmp[BLOCK_SIZE]; void main() { const int block_size = int(gl_WorkGroupSize.x); @@ -142,20 +375,20 @@ void main() { DEQUANT_FUNC // matrix multiplication - tmp[tid] += v0 * y[iybs + iqs + 0]; - tmp[tid] += v1 * y[iybs + iqs + y_offset]; + tmp[tid] += FLOAT_TYPE(v0 * y[iybs + iqs + 0]); + tmp[tid] += FLOAT_TYPE(v1 * y[iybs + iqs + y_offset]); } // sum up partial sums and write back result barrier(); - [[unroll]] for (int s=block_size/2; s>0; s>>=1) { + [[unroll]] for (int s = block_size/2; s > 0; s >>= 1) { if (tid < s) { tmp[tid] += tmp[tid + s]; } barrier(); } if (tid == 0) { - dst[row] = float(tmp[0]); + dst[row] = OUT_TYPE(tmp[0]); } } )"; @@ -195,9 +428,79 @@ const std::string mul_f32_src = R"( layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; -layout (binding = 0) buffer X { float data_x[]; }; -layout (binding = 1) buffer Y { float data_y[]; }; -layout (binding = 2) buffer D { float data_d[]; }; +layout (binding = 0) buffer X { X_TYPE data_x[]; }; +layout (binding = 1) buffer Y { Y_TYPE data_y[]; }; +layout (binding = 2) buffer D { D_TYPE data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int stride_x; + int stride_y; + int stride_d; + int x_offset; + int y_offset; + int d_offset; + float scale; +} p; + +void main() { + const int x = int(gl_GlobalInvocationID.x); + const int y = int(gl_GlobalInvocationID.y); + + if (x >= p.M || y >= p.N) { + return; + } + + data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(data_x[p.x_offset + y * p.stride_x + x]) * D_TYPE(data_y[p.y_offset + x]); +} +)"; + +// ADD +const std::string add_head = R"( +#version 450 +)"; + +const std::string add_body = R"( +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; +layout (binding = 0) buffer X { X_TYPE data_x[]; }; +layout (binding = 1) buffer Y { Y_TYPE data_y[]; }; +layout (binding = 2) buffer D { D_TYPE data_d[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int stride_x; + int stride_y; + int stride_d; + int x_offset; + int y_offset; + int d_offset; + float scale; +} p; + +void main() { + const int x = int(gl_GlobalInvocationID.x); + const int y = int(gl_GlobalInvocationID.y); + + if (x >= p.M || y >= p.N) { + return; + } + + data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(data_x[p.x_offset + y * p.stride_x + x]) + D_TYPE(data_y[p.y_offset + x]); +} +)"; + +// SCALE +const std::string scale_src = R"( +#version 450 + +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; + +layout (binding = 0) buffer X { X_TYPE data_x[]; }; +layout (binding = 1) buffer D { D_TYPE data_d[]; }; layout (push_constant) uniform parameter { @@ -220,6 +523,6 @@ void main() { return; } - data_d[p.d_offset + y * p.stride_d + x] = data_x[p.x_offset + y * p.stride_x + x] * data_y[p.y_offset + x]; + data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(data_x[p.x_offset + y * p.stride_x + x]) * D_TYPE(p.scale); } )"; diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index b0ea9c175aab9..96f39ce2bdf5c 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -23,6 +23,7 @@ #include #include #include +#include #include #include #include @@ -165,18 +166,34 @@ vk_pipeline vk_pipeline_f32_to_f16, vk_pipeline_dequant_q4_0; static std::vector> vk_pinned_memory; -static std::vector ggml_vk_compile_shader(const std::string& name, const std::string& src) { +static std::vector ggml_vk_compile_shader(const std::string& name, const std::string& src, std::vector&& defines) { #ifdef VK_DEBUG std::cerr << "ggml_vk_compile_shader(" << name << ", " << src << ")" << std::endl; #endif + GGML_ASSERT(defines.size() % 2 == 0); + shaderc::Compiler compiler; shaderc::CompileOptions options; + for (size_t i = 0; i < defines.size(); i += 2) { + options.AddMacroDefinition(defines[i], defines[i + 1]); + } + shaderc::SpvCompilationResult module = compiler.CompileGlslToSpv(src, shaderc_compute_shader, name.c_str(), options); if (module.GetCompilationStatus() != shaderc_compilation_status_success) { + shaderc::PreprocessedSourceCompilationResult prep_res = compiler.PreprocessGlsl(src, shaderc_compute_shader, name.c_str(), options); + + std::string prep_src = std::string{ prep_res.begin(), prep_res.end() }; + + std::stringstream ss(prep_src); + std::string line; + int counter = 1; + while(std::getline(ss, line, '\n')){ + std::cout << std::setw(3) << counter++ << std::setw(1) << ": " << line << std::endl; + } std::cerr << "ggml_vulkan: Shader compile error in " << name << ": " << module.GetErrorMessage(); - return std::vector(); + GGML_ASSERT(false); } return {module.cbegin(), module.cend()}; @@ -286,12 +303,12 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_s return pipeline; } -static vk_pipeline ggml_vk_create_pipeline_from_string(const std::string& name, const std::string& src, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { +static vk_pipeline ggml_vk_create_pipeline_from_string(const std::string& name, const std::string& src, std::vector&& defines, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_pipeline_from_string(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; #endif - const std::vector spv = ggml_vk_compile_shader(name, src); + const std::vector spv = ggml_vk_compile_shader(name, src, std::move(defines)); return ggml_vk_create_pipeline(name, spv.size() * sizeof(uint32_t), spv.data(), entrypoint, parameter_count, push_constant_size, wg_denoms, std::move(specialization_constants), align); } @@ -640,34 +657,98 @@ static void ggml_vk_generate_shaders() { #endif std::cerr << "ggml_vulkan: Generating and compiling shaders to SPIR-V" << std::endl; + // mulmat + auto warptile_l = { 128, 128, 128, 16, 64, 64, 2, 4, 4 }; + auto warptile_m = { 128, 64, 64, 16, 32, 32, 2, 4, 2 }; + auto warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; - // Build dequant q4_0 std::stringstream stream; + stream << mulmat_head << shader_f32 << mulmat_body; + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline_from_string("matmul_f32_l", stream.str(), { "A_TYPE", "float", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline_from_string("matmul_f32_m", stream.str(), { "A_TYPE", "float", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline_from_string("matmul_f32_s", stream.str(), { "A_TYPE", "float", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_l", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "mat2x4", "B_TYPE", "mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_m", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "mat2x4", "B_TYPE", "mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_s", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "mat2x4", "B_TYPE", "mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + stream.str(""); + stream.clear(); + stream << mulmat_head << shader_f16 << mulmat_body; + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline_from_string("matmul_f16_l", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float16_t", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline_from_string("matmul_f16_m", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float16_t", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline_from_string("matmul_f16_s", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float16_t", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_l", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "f16mat2x4", "B_TYPE", "f16mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_m", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "f16mat2x4", "B_TYPE", "f16mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_s", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "f16mat2x4", "B_TYPE", "f16mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline_from_string("matmul_f16_f32_l", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline_from_string("matmul_f16_f32_m", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline_from_string("matmul_f16_f32_s", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_l", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "f16mat2x4", "B_TYPE", "mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_m", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "f16mat2x4", "B_TYPE", "mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_s", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "f16mat2x4", "B_TYPE", "mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + // Build dequant q4_0 + stream.str(""); + stream.clear(); + stream << dequant_head; if (vk_device.fp16) { - stream << dequant_glsl_fp16_ext; - } - stream << dequant_q4_0_defines; - if (vk_device.fp16) { - stream << dequant_output_fp16; + stream << shader_f16 << shader_output_f16; } else { - stream << dequant_output_fp32; + stream << shader_output_f32; } - stream << dequant_body; + stream << dequant_q4_0_defines << dequant_body; - vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline_from_string("dequant_q4_0", stream.str(), "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); + vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline_from_string("dequant_q4_0", stream.str(), {}, "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); // mul mat vec stream.str(""); stream.clear(); - stream << mul_mat_vec_head << mul_mat_vec_fp16 << mul_mat_vec_q4_0_defines << mul_mat_vec_body; + stream << mul_mat_vec_head << shader_f16 << shader_int8_ext << shader_output_f32 << mul_mat_vec_b_type_f16 << mul_mat_vec_q4_0_defines << mul_mat_vec_body; - vk_pipeline_dequant_mul_mat_vec_q4_0 = ggml_vk_create_pipeline_from_string("mul_mat_vec_q4_0", stream.str(), "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_q4_0 = ggml_vk_create_pipeline_from_string("mul_mat_vec_q4_0", stream.str(), {}, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + + stream.str(""); + stream.clear(); + + stream << mul_mat_vec_head << shader_f16 << shader_int8_ext << shader_output_f32 << mul_mat_vec_b_type_f32 << mul_mat_vec_q4_0_defines << mul_mat_vec_body; + + vk_pipeline_dequant_mul_mat_vec_q4_0_f32 = ggml_vk_create_pipeline_from_string("mul_mat_vec_q4_0_f32", stream.str(), {}, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + + stream.str(""); + stream.clear(); + + stream << mul_mat_vec_head << shader_f16 << shader_output_f32 << mul_mat_vec_b_type_f16 << mul_mat_vec_f16_defines << mul_mat_vec_body; + + vk_pipeline_dequant_mul_mat_vec_f16 = ggml_vk_create_pipeline_from_string("mul_mat_vec_f16", stream.str(), {}, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + + stream.str(""); + stream.clear(); + + stream << mul_mat_vec_head << shader_f16 << shader_output_f32 << mul_mat_vec_b_type_f32 << mul_mat_vec_f16_defines << mul_mat_vec_body; + vk_pipeline_dequant_mul_mat_vec_f16_f32 = ggml_vk_create_pipeline_from_string("mul_mat_vec_f16_f32", stream.str(), {}, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + + // add + stream.str(""); + stream.clear(); + + stream << add_head << add_body; + vk_pipeline_add_f32 = ggml_vk_create_pipeline_from_string("add_f32", stream.str(), { "X_TYPE", "float", "Y_TYPE", "float", "D_TYPE", "float" }, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + stream.str(""); + stream.clear(); + + stream << add_head << shader_f16 << add_body; + vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline_from_string("add_f16_f32_f16", stream.str(), { "X_TYPE", "float16_t", "Y_TYPE", "float", "D_TYPE", "float16_t" }, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); // Static shaders - vk_pipeline_f32_to_f16 = ggml_vk_create_pipeline_from_string("f32_to_f16", f32_to_f16_src, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); - vk_pipeline_mul_f32 = ggml_vk_create_pipeline_from_string("mul_f32", mul_f32_src, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline_from_string("split_k_reduce", mulmat_split_k_reduce_src, {}, "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); + vk_pipeline_f32_to_f16 = ggml_vk_create_pipeline_from_string("f32_to_f16", f32_to_f16_src, {}, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); + vk_pipeline_mul_f32 = ggml_vk_create_pipeline_from_string("mul_f32", mul_f32_src, { "X_TYPE", "float", "Y_TYPE", "float", "D_TYPE", "float" }, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + + vk_pipeline_scale_f32 = ggml_vk_create_pipeline_from_string("scale_f32", scale_src, { "X_TYPE", "float", "D_TYPE", "float" }, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); } void ggml_vk_test_transfer(size_t ne); @@ -806,45 +887,7 @@ void ggml_vk_init(void) { vk_device.descriptor_set_mode = VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN; - // Prepare matmul values - auto warptile_l = { 128, 128, 128, 16, 64, 64, 2, 4, 4 }; - auto warptile_m = { 128, 64, 64, 16, 32, 32, 2, 4, 2 }; - auto warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; - // Shaders - vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f32.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - if (vk_device.fp16) { - vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_f32.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_f32.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_f32.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_f16_f32_aligned.spv", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_dequant_mul_mat_vec_f16 = ggml_vk_create_pipeline_from_file("vk_shaders/dequant_mul_mat_vec_f16.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - } - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline_from_file("vk_shaders/matmul_split_k_reduce.spv", "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); - - vk_pipeline_dequant_mul_mat_vec_f16_f32 = ggml_vk_create_pipeline_from_file("vk_shaders/dequant_mul_mat_vec_f16_f32.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_q4_0_f32 = ggml_vk_create_pipeline_from_file("vk_shaders/dequant_mul_mat_vec_q4_0_f32.spv", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - - vk_pipeline_add_f32 = ggml_vk_create_pipeline_from_file("vk_shaders/add_f32.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline_from_file("vk_shaders/add_f16_f32_f16.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - - vk_pipeline_scale_f32 = ggml_vk_create_pipeline_from_file("vk_shaders/scale_f32.spv", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - ggml_vk_generate_shaders(); // Queues diff --git a/vk_shaders/add_f16_f32_f16.glsl b/vk_shaders/add_f16_f32_f16.glsl deleted file mode 100644 index 88b9e9488b91d..0000000000000 --- a/vk_shaders/add_f16_f32_f16.glsl +++ /dev/null @@ -1,33 +0,0 @@ -#version 450 - -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require - -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; - -layout (binding = 0) buffer X { float16_t data_x[]; }; -layout (binding = 1) buffer Y { float data_y[]; }; -layout (binding = 2) buffer D { float16_t data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int stride_x; - int stride_y; - int stride_d; - int x_offset; - int y_offset; - int d_offset; - float scale; -} p; - -void main() { - const int x = int(gl_GlobalInvocationID.x); - const int y = int(gl_GlobalInvocationID.y); - - if (x >= p.M || y >= p.N) { - return; - } - - data_d[p.d_offset + y * p.stride_d + x] = data_x[p.x_offset + y * p.stride_x + x] + float16_t(data_y[p.y_offset + x]); -} diff --git a/vk_shaders/add_f32.glsl b/vk_shaders/add_f32.glsl deleted file mode 100644 index d7006a450096a..0000000000000 --- a/vk_shaders/add_f32.glsl +++ /dev/null @@ -1,31 +0,0 @@ -#version 450 - -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; - -layout (binding = 0) buffer X { float data_x[]; }; -layout (binding = 1) buffer Y { float data_y[]; }; -layout (binding = 2) buffer D { float data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int stride_x; - int stride_y; - int stride_d; - int x_offset; - int y_offset; - int d_offset; - float scale; -} p; - -void main() { - const int x = int(gl_GlobalInvocationID.x); - const int y = int(gl_GlobalInvocationID.y); - - if (x >= p.M || y >= p.N) { - return; - } - - data_d[p.d_offset + y * p.stride_d + x] = data_x[p.x_offset + y * p.stride_x + x] + data_y[p.y_offset + x]; -} diff --git a/vk_shaders/dequant_mul_mat_vec_f16.glsl b/vk_shaders/dequant_mul_mat_vec_f16.glsl deleted file mode 100644 index 5c45819bee3d5..0000000000000 --- a/vk_shaders/dequant_mul_mat_vec_f16.glsl +++ /dev/null @@ -1,59 +0,0 @@ -#version 450 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_16bit_storage : require -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require - -#define QUANT_K 32 -#define QUANT_R 2 -#define BLOCK_SIZE 32 - -layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { float16_t x[]; }; -layout (binding = 1) readonly buffer B { float16_t y[]; }; -layout (binding = 2) writeonly buffer D { float dst[]; }; - -layout (push_constant) uniform parameter -{ - int ncols; -} p; - -shared float16_t tmp[BLOCK_SIZE]; - -void main() { - const int block_size = int(gl_WorkGroupSize.x); - const int row = int(gl_WorkGroupID.x); - const int tid = int(gl_LocalInvocationID.x); - - const int y_offset = QUANT_K/2; - - tmp[tid] = 0.0hf; - - [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { - const int col = i*block_size + 2*tid; - const int ib = (row*p.ncols + col)/QUANT_K; // block index - const int iqs = (col%QUANT_K)/QUANT_R; // quant index - const int iybs = col - col%QUANT_K; // y block start index - - // dequantize - float16_t v0 = x[ib + 0]; - float16_t v1 = x[ib + 1]; - - // matrix multiplication - tmp[tid] += v0 * y[iybs + iqs + 0]; - tmp[tid] += v1 * y[iybs + iqs + y_offset]; - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (int s=block_size/2; s>0; s>>=1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - if (tid == 0) { - dst[row] = float(tmp[0]); - } -} diff --git a/vk_shaders/dequant_mul_mat_vec_f16_f32.glsl b/vk_shaders/dequant_mul_mat_vec_f16_f32.glsl deleted file mode 100644 index f365d80231dad..0000000000000 --- a/vk_shaders/dequant_mul_mat_vec_f16_f32.glsl +++ /dev/null @@ -1,59 +0,0 @@ -#version 450 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_16bit_storage : require -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require - -#define QUANT_K 32 -#define QUANT_R 2 -#define BLOCK_SIZE 32 - -layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { float16_t x[]; }; -layout (binding = 1) readonly buffer B { float y[]; }; -layout (binding = 2) writeonly buffer D { float dst[]; }; - -layout (push_constant) uniform parameter -{ - int ncols; -} p; - -shared float tmp[BLOCK_SIZE]; - -void main() { - const int block_size = int(gl_WorkGroupSize.x); - const int row = int(gl_WorkGroupID.x); - const int tid = int(gl_LocalInvocationID.x); - - const int y_offset = QUANT_K/2; - - tmp[tid] = 0.0hf; - - [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { - const int col = i*block_size + 2*tid; - const int ib = (row*p.ncols + col)/QUANT_K; // block index - const int iqs = (col%QUANT_K)/QUANT_R; // quant index - const int iybs = col - col%QUANT_K; // y block start index - - // dequantize - float16_t v0 = x[ib + 0]; - float16_t v1 = x[ib + 1]; - - // matrix multiplication - tmp[tid] += v0 * y[iybs + iqs + 0]; - tmp[tid] += v1 * y[iybs + iqs + y_offset]; - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (int s=block_size/2; s>0; s>>=1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - if (tid == 0) { - dst[row] = tmp[0]; - } -} diff --git a/vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl b/vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl deleted file mode 100644 index 8aa6ac57add32..0000000000000 --- a/vk_shaders/dequant_mul_mat_vec_q4_0_f32.glsl +++ /dev/null @@ -1,73 +0,0 @@ -#version 450 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_16bit_storage : require -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require -#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require - -#define QUANT_K 32 -#define QUANT_R 2 -#define BLOCK_SIZE 32 - -layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; - -struct block_q4_0 -{ - float16_t d; - uint8_t qs[16]; -}; - -layout (binding = 0) readonly buffer A { block_q4_0 x[]; }; -layout (binding = 1) readonly buffer B { float y[]; }; -layout (binding = 2) writeonly buffer D { float dst[]; }; - -layout (push_constant) uniform parameter -{ - int ncols; -} p; - -shared float tmp[BLOCK_SIZE]; - -void main() { - const int block_size = int(gl_WorkGroupSize.x); - const int row = int(gl_WorkGroupID.x); - const int tid = int(gl_LocalInvocationID.x); - - const int y_offset = QUANT_K/2; - - tmp[tid] = 0.0hf; - - [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { - const int col = i*block_size + 2*tid; - const int ib = (row*p.ncols + col)/QUANT_K; // block index - const int iqs = (col%QUANT_K)/QUANT_R; // quant index - const int iybs = col - col%QUANT_K; // y block start index - - // dequantize - const float16_t d = x[ib].d; - - const uint8_t vui = x[ib].qs[iqs]; - - const int8_t vi0 = int8_t(vui & 0xF); - const int8_t vi1 = int8_t(vui >> 4); - - float16_t v0 = float16_t(vi0 - 8)*d; - float16_t v1 = float16_t(vi1 - 8)*d; - - // matrix multiplication - tmp[tid] += v0 * y[iybs + iqs + 0]; - tmp[tid] += v1 * y[iybs + iqs + y_offset]; - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (int s=block_size/2; s>0; s>>=1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - if (tid == 0) { - dst[row] = tmp[0]; - } -} diff --git a/vk_shaders/matmul_f16.glsl b/vk_shaders/matmul_f16.glsl deleted file mode 100644 index 02c88cc0f3af1..0000000000000 --- a/vk_shaders/matmul_f16.glsl +++ /dev/null @@ -1,145 +0,0 @@ -#version 450 - -#define WARP 32 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require - -layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { float16_t data_a[]; }; -layout (binding = 1) readonly buffer B { float16_t data_b[]; }; -layout (binding = 2) writeonly buffer D { float data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int K; - int stride_a; - int stride_b; - int stride_d; - int k_split; -} p; - -layout (constant_id = 1) const int BM = 64; -layout (constant_id = 2) const int BN = 64; -layout (constant_id = 3) const int BK = 16; -layout (constant_id = 4) const int WM = 32; -layout (constant_id = 5) const int WN = 32; -layout (constant_id = 6) const int WMITER = 2; -layout (constant_id = 7) const int TM = 4; -layout (constant_id = 8) const int TN = 2; - -shared float16_t buf_a[BM * (BK+1)]; -shared float16_t buf_b[BN * (BK+1)]; - -void main() { - const int blocks_x = (p.M + BM - 1) / BM; - const int ir = int(gl_WorkGroupID.x) % blocks_x; - const int ik = int(gl_WorkGroupID.x) / blocks_x; - const int ic = int(gl_WorkGroupID.y); - - const int warp_i = int(gl_LocalInvocationID.x / WARP); - const int warp_r = warp_i % (BM / WM); - const int warp_c = warp_i / (BM / WM); - - const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); - const int WSUBM = WM / WMITER; - const int WSUBN = WN / WNITER; - - const int tiw = int(gl_LocalInvocationID.x % WARP); - const int tiwr = tiw % (WSUBM / TM); - const int tiwc = tiw / (WSUBM / TM); - - const int loadr = int(gl_LocalInvocationID.x % BK); - const int loadc = int(gl_LocalInvocationID.x / BK); - - const int loadstride = int(gl_WorkGroupSize.x); - - const int start_k = ik * p.k_split; - const int end_k = (ik + 1) * p.k_split; - - int pos_a = ir * BM * p.stride_a + start_k; - int pos_b = ic * BN * p.stride_b + start_k; - - float sums[WMITER * TM * WNITER * TN]; - float16_t cache_a[WMITER * TM]; - float16_t cache_b[WNITER * TN]; - - [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = 0.0f; - } - - [[unroll]] for (int block = start_k; block < end_k; block += BK) { - [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; - } else { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; - } - } - [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; - } else { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; - } - } - - barrier(); - - pos_a += BK; - pos_b += BK; - - for (int i = 0; i < min(BK, p.K - block); i++) { - // Load from shared into cache - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int j = 0; j < TM; j++) { - cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; - } - } - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int j = 0; j < TN; j++) { - cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; - } - } - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); - } - } - } - } - } - - barrier(); - } - - const int dr = ir * BM + warp_r * WM; - const int dc = ic * BN + warp_c * WN; - - const int k_split_offset = ik * p.M * p.N; - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - - const int dr_warp = dr + wsir * WSUBM + tiwr * TM; - const int dc_warp = dc + wsic * WSUBN + tiwc * TN; - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; - } - } - } - } - } -} diff --git a/vk_shaders/matmul_f16_aligned.glsl b/vk_shaders/matmul_f16_aligned.glsl deleted file mode 100644 index 2b3d717721d73..0000000000000 --- a/vk_shaders/matmul_f16_aligned.glsl +++ /dev/null @@ -1,149 +0,0 @@ -#version 450 - -#define WARP 32 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require - -layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { f16mat2x4 data_a[]; }; -layout (binding = 1) readonly buffer B { f16mat2x4 data_b[]; }; -layout (binding = 2) writeonly buffer D { float data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int K; - int stride_a; - int stride_b; - int stride_d; - int k_split; -} p; - -layout (constant_id = 1) const int BM = 64; -layout (constant_id = 2) const int BN = 64; -layout (constant_id = 3) const int BK = 16; -layout (constant_id = 4) const int WM = 32; -layout (constant_id = 5) const int WN = 32; -layout (constant_id = 6) const int WMITER = 2; -layout (constant_id = 7) const int TM = 4; -layout (constant_id = 8) const int TN = 2; - -shared float16_t buf_a[BM * (BK+1)]; -shared float16_t buf_b[BN * (BK+1)]; - -void main() { - const int blocks_x = (p.M + BM - 1) / BM; - const int ir = int(gl_WorkGroupID.x) % blocks_x; - const int ik = int(gl_WorkGroupID.x) / blocks_x; - const int ic = int(gl_WorkGroupID.y); - - const int warp_i = int(gl_LocalInvocationID.x / WARP); - const int warp_r = warp_i % (BM / WM); - const int warp_c = warp_i / (BM / WM); - - const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); - const int WSUBM = WM / WMITER; - const int WSUBN = WN / WNITER; - - const int tiw = int(gl_LocalInvocationID.x % WARP); - const int tiwr = tiw % (WSUBM / TM); - const int tiwc = tiw / (WSUBM / TM); - - const int loadr = int(gl_LocalInvocationID.x % (BK / 8)); - const int loadc = int(gl_LocalInvocationID.x / (BK / 8)); - - const int loadstride = int(gl_WorkGroupSize.x * 8) / BK; - - const int start_k = ik * p.k_split; - const int end_k = (ik + 1) * p.k_split; - - int pos_a = ir * BM * p.stride_a / 8 + start_k / 8; - int pos_b = ic * BN * p.stride_b / 8 + start_k / 8; - - float sums[WMITER * TM * WNITER * TN]; - float16_t cache_a[WMITER * TM]; - float16_t cache_b[WNITER * TN]; - - [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = 0.0f; - } - - [[unroll]] for (int block = start_k; block < end_k; block += BK) { - [[unroll]] for (int l = 0; l < BM; l += loadstride) { - f16mat2x4 tmp = data_a[pos_a + (loadc + l) * p.stride_a / 8 + loadr]; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 0] = tmp[0].x; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 1] = tmp[0].y; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 2] = tmp[0].z; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 3] = tmp[0].w; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 4] = tmp[1].x; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 5] = tmp[1].y; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 6] = tmp[1].z; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 7] = tmp[1].w; - } - [[unroll]] for (int l = 0; l < BN; l += loadstride) { - f16mat2x4 tmp = data_b[pos_b + (loadc + l) * p.stride_b / 8 + loadr]; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 0] = tmp[0].x; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 1] = tmp[0].y; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 2] = tmp[0].z; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 3] = tmp[0].w; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 4] = tmp[1].x; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 5] = tmp[1].y; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 6] = tmp[1].z; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 7] = tmp[1].w; - } - - barrier(); - - pos_a += BK / 8; - pos_b += BK / 8; - - for (int i = 0; i < min(BK, p.K - block); i++) { - // Load from shared into cache - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int j = 0; j < TM; j++) { - cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; - } - } - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int j = 0; j < TN; j++) { - cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; - } - } - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); - } - } - } - } - } - - barrier(); - } - - const int dr = ir * BM + warp_r * WM; - const int dc = ic * BN + warp_c * WN; - - const int k_split_offset = ik * p.M * p.N; - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - - const int dr_warp = dr + wsir * WSUBM + tiwr * TM; - const int dc_warp = dc + wsic * WSUBN + tiwc * TN; - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; - } - } - } - } - } -} diff --git a/vk_shaders/matmul_f16_f32.glsl b/vk_shaders/matmul_f16_f32.glsl deleted file mode 100644 index d88567932803d..0000000000000 --- a/vk_shaders/matmul_f16_f32.glsl +++ /dev/null @@ -1,145 +0,0 @@ -#version 450 - -#define WARP 32 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require - -layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { float16_t data_a[]; }; -layout (binding = 1) readonly buffer B { float data_b[]; }; -layout (binding = 2) writeonly buffer D { float data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int K; - int stride_a; - int stride_b; - int stride_d; - int k_split; -} p; - -layout (constant_id = 1) const int BM = 64; -layout (constant_id = 2) const int BN = 64; -layout (constant_id = 3) const int BK = 16; -layout (constant_id = 4) const int WM = 32; -layout (constant_id = 5) const int WN = 32; -layout (constant_id = 6) const int WMITER = 2; -layout (constant_id = 7) const int TM = 4; -layout (constant_id = 8) const int TN = 2; - -shared float16_t buf_a[BM * (BK+1)]; -shared float16_t buf_b[BN * (BK+1)]; - -void main() { - const int blocks_x = (p.M + BM - 1) / BM; - const int ir = int(gl_WorkGroupID.x) % blocks_x; - const int ik = int(gl_WorkGroupID.x) / blocks_x; - const int ic = int(gl_WorkGroupID.y); - - const int warp_i = int(gl_LocalInvocationID.x / WARP); - const int warp_r = warp_i % (BM / WM); - const int warp_c = warp_i / (BM / WM); - - const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); - const int WSUBM = WM / WMITER; - const int WSUBN = WN / WNITER; - - const int tiw = int(gl_LocalInvocationID.x % WARP); - const int tiwr = tiw % (WSUBM / TM); - const int tiwc = tiw / (WSUBM / TM); - - const int loadr = int(gl_LocalInvocationID.x % BK); - const int loadc = int(gl_LocalInvocationID.x / BK); - - const int loadstride = int(gl_WorkGroupSize.x); - - const int start_k = ik * p.k_split; - const int end_k = (ik + 1) * p.k_split; - - int pos_a = ir * BM * p.stride_a + start_k; - int pos_b = ic * BN * p.stride_b + start_k; - - float sums[WMITER * TM * WNITER * TN]; - float16_t cache_a[WMITER * TM]; - float16_t cache_b[WNITER * TN]; - - [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = 0.0f; - } - - [[unroll]] for (int block = start_k; block < end_k; block += BK) { - [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; - } else { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; - } - } - [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = float16_t(data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]); - } else { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0hf; - } - } - - barrier(); - - pos_a += BK; - pos_b += BK; - - for (int i = 0; i < min(BK, p.K - block); i++) { - // Load from shared into cache - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int j = 0; j < TM; j++) { - cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; - } - } - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int j = 0; j < TN; j++) { - cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; - } - } - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); - } - } - } - } - } - - barrier(); - } - - const int dr = ir * BM + warp_r * WM; - const int dc = ic * BN + warp_c * WN; - - const int k_split_offset = ik * p.M * p.N; - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - - const int dr_warp = dr + wsir * WSUBM + tiwr * TM; - const int dc_warp = dc + wsic * WSUBN + tiwc * TN; - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; - } - } - } - } - } -} diff --git a/vk_shaders/matmul_f16_f32_aligned.glsl b/vk_shaders/matmul_f16_f32_aligned.glsl deleted file mode 100644 index b34eaea1a155c..0000000000000 --- a/vk_shaders/matmul_f16_f32_aligned.glsl +++ /dev/null @@ -1,149 +0,0 @@ -#version 450 - -#define WARP 32 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require - -layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { f16mat2x4 data_a[]; }; -layout (binding = 1) readonly buffer B { mat2x4 data_b[]; }; -layout (binding = 2) writeonly buffer D { float data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int K; - int stride_a; - int stride_b; - int stride_d; - int k_split; -} p; - -layout (constant_id = 1) const int BM = 64; -layout (constant_id = 2) const int BN = 64; -layout (constant_id = 3) const int BK = 16; -layout (constant_id = 4) const int WM = 32; -layout (constant_id = 5) const int WN = 32; -layout (constant_id = 6) const int WMITER = 2; -layout (constant_id = 7) const int TM = 4; -layout (constant_id = 8) const int TN = 2; - -shared float16_t buf_a[BM * (BK+1)]; -shared float16_t buf_b[BN * (BK+1)]; - -void main() { - const int blocks_x = (p.M + BM - 1) / BM; - const int ir = int(gl_WorkGroupID.x) % blocks_x; - const int ik = int(gl_WorkGroupID.x) / blocks_x; - const int ic = int(gl_WorkGroupID.y); - - const int warp_i = int(gl_LocalInvocationID.x / WARP); - const int warp_r = warp_i % (BM / WM); - const int warp_c = warp_i / (BM / WM); - - const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); - const int WSUBM = WM / WMITER; - const int WSUBN = WN / WNITER; - - const int tiw = int(gl_LocalInvocationID.x % WARP); - const int tiwr = tiw % (WSUBM / TM); - const int tiwc = tiw / (WSUBM / TM); - - const int loadr = int(gl_LocalInvocationID.x % (BK / 8)); - const int loadc = int(gl_LocalInvocationID.x / (BK / 8)); - - const int loadstride = int(gl_WorkGroupSize.x * 8) / BK; - - const int start_k = ik * p.k_split; - const int end_k = (ik + 1) * p.k_split; - - int pos_a = ir * BM * p.stride_a / 8 + start_k / 8; - int pos_b = ic * BN * p.stride_b / 8 + start_k / 8; - - float sums[WMITER * TM * WNITER * TN]; - float16_t cache_a[WMITER * TM]; - float16_t cache_b[WNITER * TN]; - - [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = 0.0f; - } - - [[unroll]] for (int block = start_k; block < end_k; block += BK) { - [[unroll]] for (int l = 0; l < BM; l += loadstride) { - f16mat2x4 tmp = data_a[pos_a + (loadc + l) * p.stride_a / 8 + loadr]; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 0] = tmp[0].x; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 1] = tmp[0].y; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 2] = tmp[0].z; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 3] = tmp[0].w; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 4] = tmp[1].x; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 5] = tmp[1].y; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 6] = tmp[1].z; - buf_a[(loadc + l) * (BK+1) + loadr * 8 + 7] = tmp[1].w; - } - [[unroll]] for (int l = 0; l < BN; l += loadstride) { - mat2x4 tmp = data_b[pos_b + (loadc + l) * p.stride_b / 8 + loadr]; - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 0] = float16_t(tmp[0].x); - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 1] = float16_t(tmp[0].y); - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 2] = float16_t(tmp[0].z); - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 3] = float16_t(tmp[0].w); - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 4] = float16_t(tmp[1].x); - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 5] = float16_t(tmp[1].y); - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 6] = float16_t(tmp[1].z); - buf_b[(loadc + l) * (BK+1) + loadr * 8 + 7] = float16_t(tmp[1].w); - } - - barrier(); - - pos_a += BK / 8; - pos_b += BK / 8; - - for (int i = 0; i < min(BK, p.K - block); i++) { - // Load from shared into cache - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int j = 0; j < TM; j++) { - cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; - } - } - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int j = 0; j < TN; j++) { - cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; - } - } - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); - } - } - } - } - } - - barrier(); - } - - const int dr = ir * BM + warp_r * WM; - const int dc = ic * BN + warp_c * WN; - - const int k_split_offset = ik * p.M * p.N; - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - - const int dr_warp = dr + wsir * WSUBM + tiwr * TM; - const int dc_warp = dc + wsic * WSUBN + tiwc * TN; - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; - } - } - } - } - } -} diff --git a/vk_shaders/matmul_f32.glsl b/vk_shaders/matmul_f32.glsl deleted file mode 100644 index 5cc268f355965..0000000000000 --- a/vk_shaders/matmul_f32.glsl +++ /dev/null @@ -1,144 +0,0 @@ -#version 450 - -#define WARP 32 - -#extension GL_EXT_control_flow_attributes : enable - -layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { float data_a[]; }; -layout (binding = 1) readonly buffer B { float data_b[]; }; -layout (binding = 2) writeonly buffer D { float data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int K; - int stride_a; - int stride_b; - int stride_d; - int k_split; -} p; - -layout (constant_id = 1) const int BM = 64; -layout (constant_id = 2) const int BN = 64; -layout (constant_id = 3) const int BK = 16; -layout (constant_id = 4) const int WM = 32; -layout (constant_id = 5) const int WN = 32; -layout (constant_id = 6) const int WMITER = 2; -layout (constant_id = 7) const int TM = 4; -layout (constant_id = 8) const int TN = 2; - -shared float buf_a[BM * (BK+1)]; -shared float buf_b[BN * (BK+1)]; - -void main() { - const int blocks_x = (p.M + BM - 1) / BM; - const int ir = int(gl_WorkGroupID.x) % blocks_x; - const int ik = int(gl_WorkGroupID.x) / blocks_x; - const int ic = int(gl_WorkGroupID.y); - - const int warp_i = int(gl_LocalInvocationID.x / WARP); - const int warp_r = warp_i % (BM / WM); - const int warp_c = warp_i / (BM / WM); - - const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); - const int WSUBM = WM / WMITER; - const int WSUBN = WN / WNITER; - - const int tiw = int(gl_LocalInvocationID.x % WARP); - const int tiwr = tiw % (WSUBM / TM); - const int tiwc = tiw / (WSUBM / TM); - - const int loadr = int(gl_LocalInvocationID.x % BK); - const int loadc = int(gl_LocalInvocationID.x / BK); - - const int loadstride = int(gl_WorkGroupSize.x); - - const int start_k = ik * p.k_split; - const int end_k = (ik + 1) * p.k_split; - - int pos_a = ir * BM * p.stride_a + start_k; - int pos_b = ic * BN * p.stride_b + start_k; - - float sums[WMITER * TM * WNITER * TN]; - float cache_a[WMITER * TM]; - float cache_b[WNITER * TN]; - - [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = 0.0f; - } - - [[unroll]] for (int block = start_k; block < end_k; block += BK) { - [[unroll]] for (int l = 0; l < BM * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ir * BM + loadc + lc < p.M && block + loadr + lr < p.K) { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = data_a[pos_a + (loadc + lc) * p.stride_a + loadr + lr]; - } else { - buf_a[(loadc + lc) * (BK+1) + loadr + lr] = 0.0f; - } - } - [[unroll]] for (int l = 0; l < BN * BK; l += loadstride) { - const int lr = l % BK; - const int lc = l / BK; - if (ic * BN + loadc + lc < p.N && block + loadr + lr < p.K) { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = data_b[pos_b + (loadc + lc) * p.stride_b + loadr + lr]; - } else { - buf_b[(loadc + lc) * (BK+1) + loadr + lr] = 0.0f; - } - } - - barrier(); - - pos_a += BK; - pos_b += BK; - - for (int i = 0; i < min(BK, p.K - block); i++) { - // Load from shared into cache - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int j = 0; j < TM; j++) { - cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; - } - } - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int j = 0; j < TN; j++) { - cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; - } - } - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += cache_a[wsir * TM + cr] * cache_b[wsic * TN + cc]; - } - } - } - } - } - - barrier(); - } - - const int dr = ir * BM + warp_r * WM; - const int dc = ic * BN + warp_c * WN; - - const int k_split_offset = ik * p.M * p.N; - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - - const int dr_warp = dr + wsir * WSUBM + tiwr * TM; - const int dc_warp = dc + wsic * WSUBN + tiwc * TN; - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; - } - } - } - } - } -} diff --git a/vk_shaders/matmul_f32_aligned.glsl b/vk_shaders/matmul_f32_aligned.glsl deleted file mode 100644 index e76c60d432702..0000000000000 --- a/vk_shaders/matmul_f32_aligned.glsl +++ /dev/null @@ -1,140 +0,0 @@ -#version 450 - -#define WARP 32 - -#extension GL_EXT_control_flow_attributes : enable - -layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { vec4 data_a[]; }; -layout (binding = 1) readonly buffer B { vec4 data_b[]; }; -layout (binding = 2) writeonly buffer D { float data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int K; - int stride_a; - int stride_b; - int stride_d; - int k_split; -} p; - -layout (constant_id = 1) const int BM = 64; -layout (constant_id = 2) const int BN = 64; -layout (constant_id = 3) const int BK = 16; -layout (constant_id = 4) const int WM = 32; -layout (constant_id = 5) const int WN = 32; -layout (constant_id = 6) const int WMITER = 2; -layout (constant_id = 7) const int TM = 4; -layout (constant_id = 8) const int TN = 2; - -shared float buf_a[BM * (BK+1)]; -shared float buf_b[BN * (BK+1)]; - -void main() { - const int blocks_x = (p.M + BM - 1) / BM; - const int ir = int(gl_WorkGroupID.x) % blocks_x; - const int ik = int(gl_WorkGroupID.x) / blocks_x; - const int ic = int(gl_WorkGroupID.y); - - const int warp_i = int(gl_LocalInvocationID.x / WARP); - const int warp_r = warp_i % (BM / WM); - const int warp_c = warp_i / (BM / WM); - - const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); - const int WSUBM = WM / WMITER; - const int WSUBN = WN / WNITER; - - const int tiw = int(gl_LocalInvocationID.x % WARP); - const int tiwr = tiw % (WSUBM / TM); - const int tiwc = tiw / (WSUBM / TM); - - const int loadr = int(gl_LocalInvocationID.x % (BK / 4)); - const int loadc = int(gl_LocalInvocationID.x / (BK / 4)); - - const int loadstride = int(gl_WorkGroupSize.x * 4) / BK; - - const int start_k = ik * p.k_split; - const int end_k = (ik + 1) * p.k_split; - - int pos_a = ir * BM * p.stride_a / 4 + start_k / 4; - int pos_b = ic * BN * p.stride_b / 4 + start_k / 4; - - float sums[WMITER * TM * WNITER * TN]; - float cache_a[WMITER * TM]; - float cache_b[WNITER * TN]; - - [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = 0.0f; - } - - [[unroll]] for (int block = start_k; block < end_k; block += BK) { - [[unroll]] for (int l = 0; l < BM; l += loadstride) { - vec4 tmp = data_a[pos_a + (loadc + l) * p.stride_a / 4 + loadr]; - buf_a[(loadc + l) * (BK+1) + loadr * 4 + 0] = tmp.x; - buf_a[(loadc + l) * (BK+1) + loadr * 4 + 1] = tmp.y; - buf_a[(loadc + l) * (BK+1) + loadr * 4 + 2] = tmp.z; - buf_a[(loadc + l) * (BK+1) + loadr * 4 + 3] = tmp.w; - } - [[unroll]] for (int l = 0; l < BN; l += loadstride) { - vec4 tmp = data_b[pos_b + (loadc + l) * p.stride_b / 4 + loadr]; - buf_b[(loadc + l) * (BK+1) + loadr * 4 + 0] = tmp.x; - buf_b[(loadc + l) * (BK+1) + loadr * 4 + 1] = tmp.y; - buf_b[(loadc + l) * (BK+1) + loadr * 4 + 2] = tmp.z; - buf_b[(loadc + l) * (BK+1) + loadr * 4 + 3] = tmp.w; - } - - barrier(); - - pos_a += BK / 4; - pos_b += BK / 4; - - for (int i = 0; i < min(BK, p.K - block); i++) { - // Load from shared into cache - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int j = 0; j < TM; j++) { - cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; - } - } - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int j = 0; j < TN; j++) { - cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; - } - } - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += cache_a[wsir * TM + cr] * cache_b[wsic * TN + cc]; - } - } - } - } - } - - barrier(); - } - - const int dr = ir * BM + warp_r * WM; - const int dc = ic * BN + warp_c * WN; - - const int k_split_offset = ik * p.M * p.N; - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - - const int dr_warp = dr + wsir * WSUBM + tiwr * TM; - const int dc_warp = dc + wsic * WSUBN + tiwc * TN; - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; - } - } - } - } - } -} diff --git a/vk_shaders/matmul_f32_q4_0.glsl b/vk_shaders/matmul_f32_q4_0.glsl deleted file mode 100644 index 094b099fc85b3..0000000000000 --- a/vk_shaders/matmul_f32_q4_0.glsl +++ /dev/null @@ -1,169 +0,0 @@ -#version 450 - -#define WARP 32 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_16bit_storage : require -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require -#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require - -#define QUANT_K 32 -#define QUANT_R 2 - -struct block_q4_0 -{ - float16_t d; - uint8_t qs[16]; -}; - -layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { block_q4_0 data_a[]; }; -layout (binding = 1) readonly buffer B { vec4 data_b[]; }; -layout (binding = 2) writeonly buffer D { float data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int K; - int stride_a; - int stride_b; - int stride_d; - int k_split; -} p; - -layout (constant_id = 1) const int BM = 64; -layout (constant_id = 2) const int BN = 64; -layout (constant_id = 3) const int BK = 16; -layout (constant_id = 4) const int WM = 32; -layout (constant_id = 5) const int WN = 32; -layout (constant_id = 6) const int WMITER = 2; -layout (constant_id = 7) const int TM = 4; -layout (constant_id = 8) const int TN = 2; - -shared float buf_a[BM * (BK+1)]; -shared float buf_b[BN * (BK+1)]; - -void main() { - const int blocks_x = (p.M + BM - 1) / BM; - const int ir = int(gl_WorkGroupID.x) % blocks_x; - const int ik = int(gl_WorkGroupID.x) / blocks_x; - const int ic = int(gl_WorkGroupID.y); - - const int stride_a = p.stride_a / QUANT_K; - - const int warp_i = int(gl_LocalInvocationID.x / WARP); - const int warp_r = warp_i % (BM / WM); - const int warp_c = warp_i / (BM / WM); - - const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); - const int WSUBM = WM / WMITER; - const int WSUBN = WN / WNITER; - - const int tiw = int(gl_LocalInvocationID.x % WARP); - const int tiwr = tiw % (WSUBM / TM); - const int tiwc = tiw / (WSUBM / TM); - - const int loadr = int(gl_LocalInvocationID.x % (BK / 4)); - const int loadc = int(gl_LocalInvocationID.x / (BK / 4)); - - const int loadstride = int(gl_WorkGroupSize.x * 4) / BK; - - const int start_k = ik * p.k_split; - const int end_k = (ik + 1) * p.k_split; - - int pos_b = ic * BN * p.stride_b / 4 + start_k / 4; - - float sums[WMITER * TM * WNITER * TN]; - float cache_a[WMITER * TM]; - float cache_b[WNITER * TN]; - - [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = 0.0f; - } - - [[unroll]] for (int block = start_k; block < end_k; block += BK) { - [[unroll]] for (int l = 0; l < BM; l += loadstride) { - const int row = (block + loadr * 4) / QUANT_K; - const int qi = (block + loadr * 4) % QUANT_K; - const block_q4_0 blk = data_a[(ir * BM + loadc + l) * stride_a + row]; - const float d = float(blk.d); - - int x0, x1, x2, x3; - if (qi < 16) { - x0 = (blk.qs[qi + 0] & 0x0F) - 8; - x1 = (blk.qs[qi + 1] & 0x0F) - 8; - x2 = (blk.qs[qi + 2] & 0x0F) - 8; - x3 = (blk.qs[qi + 3] & 0x0F) - 8; - } else { - x0 = (blk.qs[qi + 0] >> 4) - 8; - x1 = (blk.qs[qi + 1] >> 4) - 8; - x2 = (blk.qs[qi + 2] >> 4) - 8; - x3 = (blk.qs[qi + 3] >> 4) - 8; - } - - buf_a[(loadc + l) * (BK+1) + loadr * 4 + 0] = x0*d; - buf_a[(loadc + l) * (BK+1) + loadr * 4 + 1] = x1*d; - buf_a[(loadc + l) * (BK+1) + loadr * 4 + 2] = x2*d; - buf_a[(loadc + l) * (BK+1) + loadr * 4 + 3] = x3*d; - } - [[unroll]] for (int l = 0; l < BN; l += loadstride) { - vec4 tmp = data_b[pos_b + (loadc + l) * p.stride_b / 4 + loadr]; - buf_b[(loadc + l) * (BK+1) + loadr * 4 + 0] = tmp.x; - buf_b[(loadc + l) * (BK+1) + loadr * 4 + 1] = tmp.y; - buf_b[(loadc + l) * (BK+1) + loadr * 4 + 2] = tmp.z; - buf_b[(loadc + l) * (BK+1) + loadr * 4 + 3] = tmp.w; - } - - barrier(); - - pos_b += BK / 4; - - for (int i = 0; i < min(BK, p.K - block); i++) { - // Load from shared into cache - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int j = 0; j < TM; j++) { - cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; - } - } - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int j = 0; j < TN; j++) { - cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; - } - } - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += cache_a[wsir * TM + cr] * cache_b[wsic * TN + cc]; - } - } - } - } - } - - barrier(); - } - - const int dr = ir * BM + warp_r * WM; - const int dc = ic * BN + warp_c * WN; - - const int k_split_offset = ik * p.M * p.N; - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - - const int dr_warp = dr + wsir * WSUBM + tiwr * TM; - const int dc_warp = dc + wsic * WSUBN + tiwc * TN; - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; - } - } - } - } - } -} diff --git a/vk_shaders/matmul_split_k_reduce.glsl b/vk_shaders/matmul_split_k_reduce.glsl deleted file mode 100644 index 006f8cbf9eee2..0000000000000 --- a/vk_shaders/matmul_split_k_reduce.glsl +++ /dev/null @@ -1,31 +0,0 @@ -#version 450 - -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; - -layout (binding = 0) buffer A { float data[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int k_num; -} p; - -void main() { - const int glr = int(gl_GlobalInvocationID.x); - const int glc = int(gl_GlobalInvocationID.y); - - if (glr >= p.M || glc >= p.N) { - return; - } - - const int idx = glc * p.M + glr; - - float result = 0.0f; - - for (int i = 0; i < p.k_num; i++) { - result += data[i * p.M * p.N + idx]; - } - - data[idx] = result; -} diff --git a/vk_shaders/scale_f32.glsl b/vk_shaders/scale_f32.glsl deleted file mode 100644 index f1fc4d10eaf56..0000000000000 --- a/vk_shaders/scale_f32.glsl +++ /dev/null @@ -1,30 +0,0 @@ -#version 450 - -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; - -layout (binding = 0) buffer X { float data_x[]; }; -layout (binding = 1) buffer D { float data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int stride_x; - int stride_y; - int stride_d; - int x_offset; - int y_offset; - int d_offset; - float scale; -} p; - -void main() { - const int x = int(gl_GlobalInvocationID.x); - const int y = int(gl_GlobalInvocationID.y); - - if (x >= p.M || y >= p.N) { - return; - } - - data_d[p.d_offset + y * p.stride_d + x] = data_x[p.x_offset + y * p.stride_x + x] * p.scale; -} From e9be24f9addf430295d4e74e2c6f4cac057c885f Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Mon, 14 Aug 2023 11:07:55 +0200 Subject: [PATCH 075/142] Fix fp32 fallback if device doesn't support fp16, add force disable env var GGML_VULKAN_DISABLE_F16 --- ggml-vulkan-shaders.hpp | 129 ++++++++++++++++++++++------------------ ggml-vulkan.cpp | 101 +++++++++++++++++++++---------- 2 files changed, 141 insertions(+), 89 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index 2599bdf2d9a44..a8d35ac38744f 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -11,38 +11,27 @@ const std::string shader_f16 = R"( const std::string shader_int8_ext = R"( #extension GL_EXT_shader_explicit_arithmetic_types_int8 : require )"; -const std::string shader_output_f16 = R"( -#define OUT_TYPE float16_t -)"; -const std::string shader_output_f32 = R"( -#define OUT_TYPE float -)"; // MULMAT const std::string mulmat_head = R"( #version 450 +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require + #define WARP 32 -#extension GL_EXT_control_flow_attributes : enable +#ifndef LOAD_VEC +#define LOAD_VEC 1 +#endif )"; const std::string mulmat_body = R"( layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; -#ifdef ALIGNED_INPUT -#define LOAD_VEC 8 -layout (binding = 0) readonly buffer A { A_TYPE data_a[]; }; -layout (binding = 1) readonly buffer B { B_TYPE data_b[]; }; - -#else - -#define LOAD_VEC 1 layout (binding = 0) readonly buffer A { A_TYPE data_a[]; }; layout (binding = 1) readonly buffer B { B_TYPE data_b[]; }; -#endif - layout (binding = 2) writeonly buffer D { D_TYPE data_d[]; }; layout (push_constant) uniform parameter @@ -107,16 +96,22 @@ void main() { [[unroll]] for (int block = start_k; block < end_k; block += BK) { [[unroll]] for (int l = 0; l < BM; l += loadstride) { -#ifdef ALIGNED_INPUT - A_TYPE tmp = data_a[pos_a + (loadc + l) * p.stride_a / LOAD_VEC + loadr]; - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(tmp[0].x); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(tmp[0].y); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(tmp[0].z); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(tmp[0].w); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 4] = FLOAT_TYPE(tmp[1].x); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 5] = FLOAT_TYPE(tmp[1].y); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 6] = FLOAT_TYPE(tmp[1].z); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 7] = FLOAT_TYPE(tmp[1].w); +#if LOAD_VEC == 8 + const int idx = pos_a + (loadc + l) * p.stride_a / LOAD_VEC + loadr; + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_a[idx][0].x); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_a[idx][0].y); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_a[idx][0].z); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_a[idx][0].w); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 4] = FLOAT_TYPE(data_a[idx][1].x); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 5] = FLOAT_TYPE(data_a[idx][1].y); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 6] = FLOAT_TYPE(data_a[idx][1].z); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 7] = FLOAT_TYPE(data_a[idx][1].w); +#elif LOAD_VEC == 4 + const int idx = pos_a + (loadc + l) * p.stride_a / LOAD_VEC + loadr; + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_a[idx].x); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_a[idx].y); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_a[idx].z); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_a[idx].w); #else if (ir * BM + loadc + l < p.M && block + loadr < p.K) { buf_a[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(data_a[pos_a + (loadc + l) * p.stride_a + loadr]); @@ -126,16 +121,22 @@ void main() { #endif } [[unroll]] for (int l = 0; l < BN; l += loadstride) { -#ifdef ALIGNED_INPUT - B_TYPE tmp = data_b[pos_b + (loadc + l) * p.stride_b / LOAD_VEC + loadr]; - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(tmp[0].x); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(tmp[0].y); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(tmp[0].z); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(tmp[0].w); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 4] = FLOAT_TYPE(tmp[1].x); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 5] = FLOAT_TYPE(tmp[1].y); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 6] = FLOAT_TYPE(tmp[1].z); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 7] = FLOAT_TYPE(tmp[1].w); +#if LOAD_VEC == 8 + const int idx = pos_b + (loadc + l) * p.stride_b / LOAD_VEC + loadr; + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_b[idx][0].x); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_b[idx][0].y); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_b[idx][0].z); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_b[idx][0].w); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 4] = FLOAT_TYPE(data_b[idx][1].x); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 5] = FLOAT_TYPE(data_b[idx][1].y); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 6] = FLOAT_TYPE(data_b[idx][1].z); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 7] = FLOAT_TYPE(data_b[idx][1].w); +#elif LOAD_VEC == 4 + const int idx = pos_b + (loadc + l) * p.stride_b / LOAD_VEC + loadr; + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_b[idx].x); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_b[idx].y); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_b[idx].z); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_b[idx].w); #else if (ic * BN + loadc + l < p.N && block + loadr < p.K) { buf_b[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(data_b[pos_b + (loadc + l) * p.stride_b + loadr]); @@ -259,7 +260,7 @@ const std::string dequant_body = R"( layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer A { A_TYPE x[]; }; -layout (binding = 1) writeonly buffer D { OUT_TYPE y[]; }; +layout (binding = 1) writeonly buffer D { D_TYPE y[]; }; layout (push_constant) uniform parameter { @@ -282,15 +283,15 @@ void main() { const int stride_a = p.stride_a / QUANT_K; - const A_TYPE blk = x[col * stride_a + row]; - const OUT_TYPE d = blk.d; + const int idx = col * stride_a + row; + const FLOAT_TYPE d = FLOAT_TYPE(x[idx].d); [[unroll]] for (int j = 0; j < QUANT_K/2; ++j) { - const OUT_TYPE x0 = OUT_TYPE((blk.qs[j] & 0x0F) - 8); - const OUT_TYPE x1 = OUT_TYPE((blk.qs[j] >> 4) - 8); + const FLOAT_TYPE x0 = FLOAT_TYPE((x[idx].qs[j] & 0x0F) - 8); + const FLOAT_TYPE x1 = FLOAT_TYPE((x[idx].qs[j] >> 4) - 8); - y[col * p.stride_b + row*QUANT_K + j + 0 ] = x0*d; - y[col * p.stride_b + row*QUANT_K + j + QUANT_K/2] = x1*d; + y[col * p.stride_b + row*QUANT_K + j + 0 ] = D_TYPE(x0*d); + y[col * p.stride_b + row*QUANT_K + j + QUANT_K/2] = D_TYPE(x1*d); } } )"; @@ -304,25 +305,24 @@ const std::string mul_mat_vec_head = R"( #extension GL_EXT_shader_8bit_storage : require )"; -const std::string mul_mat_vec_b_type_f32 = R"( -#define B_TYPE float -)"; - -const std::string mul_mat_vec_b_type_f16 = R"( -#define B_TYPE float16_t -)"; - const std::string mul_mat_vec_f16_defines = R"( #define QUANT_K 32 #define QUANT_R 2 #define BLOCK_SIZE 32 #define A_TYPE float16_t +)"; +const std::string mul_mat_vec_f16_dequant_func = R"( #define DEQUANT_FUNC float16_t v0 = x[ib + 0]; \ float16_t v1 = x[ib + 1]; )"; +const std::string mul_mat_vec_f16_dequant_func_compat = R"( +#define DEQUANT_FUNC float v0 = float(x[ib + 0]); \ +float v1 = float(x[ib + 1]); +)"; + const std::string mul_mat_vec_q4_0_defines = R"( #define QUANT_K 32 #define QUANT_R 2 @@ -334,7 +334,9 @@ struct block_q4_0 uint8_t qs[16]; }; #define A_TYPE block_q4_0 +)"; +const std::string mul_mat_vec_q4_0_dequant_func = R"( #define DEQUANT_FUNC const float16_t d = x[ib].d; \ const uint8_t vui = x[ib].qs[iqs]; \ const int8_t vi0 = int8_t(vui & 0xF); \ @@ -343,12 +345,21 @@ float16_t v0 = float16_t(vi0 - 8)*d; \ float16_t v1 = float16_t(vi1 - 8)*d; )"; +const std::string mul_mat_vec_q4_0_dequant_func_compat = R"( +#define DEQUANT_FUNC const float d = float(x[ib].d); \ +const uint vui = uint(x[ib].qs[iqs]); \ +const int vi0 = int(vui) & 0xF; \ +const int vi1 = int(vui) >> 4; \ +float v0 = float(vi0 - 8)*d; \ +float v1 = float(vi1 - 8)*d; +)"; + const std::string mul_mat_vec_body = R"( layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer A { A_TYPE x[]; }; layout (binding = 1) readonly buffer B { B_TYPE y[]; }; -layout (binding = 2) writeonly buffer D { OUT_TYPE dst[]; }; +layout (binding = 2) writeonly buffer D { D_TYPE dst[]; }; layout (push_constant) uniform parameter { @@ -364,7 +375,7 @@ void main() { const int y_offset = QUANT_K/2; - tmp[tid] = 0.0hf; + tmp[tid] = FLOAT_TYPE(0.0f); [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { const int col = i*block_size + 2*tid; @@ -375,8 +386,8 @@ void main() { DEQUANT_FUNC // matrix multiplication - tmp[tid] += FLOAT_TYPE(v0 * y[iybs + iqs + 0]); - tmp[tid] += FLOAT_TYPE(v1 * y[iybs + iqs + y_offset]); + tmp[tid] += FLOAT_TYPE(v0) * FLOAT_TYPE(y[iybs + iqs + 0]); + tmp[tid] += FLOAT_TYPE(v1) * FLOAT_TYPE(y[iybs + iqs + y_offset]); } // sum up partial sums and write back result @@ -388,7 +399,7 @@ void main() { barrier(); } if (tid == 0) { - dst[row] = OUT_TYPE(tmp[0]); + dst[row] = D_TYPE(tmp[0]); } } )"; @@ -460,6 +471,8 @@ void main() { // ADD const std::string add_head = R"( #version 450 + +#extension GL_EXT_shader_16bit_storage : require )"; const std::string add_body = R"( @@ -489,7 +502,7 @@ void main() { return; } - data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(data_x[p.x_offset + y * p.stride_x + x]) + D_TYPE(data_y[p.y_offset + x]); + data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(FLOAT_TYPE(data_x[p.x_offset + y * p.stride_x + x]) + FLOAT_TYPE(data_y[p.y_offset + x])); } )"; diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 96f39ce2bdf5c..ebe355ce8cebf 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -662,85 +662,119 @@ static void ggml_vk_generate_shaders() { auto warptile_m = { 128, 64, 64, 16, 32, 32, 2, 4, 2 }; auto warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; + std::string shader_float_type; + std::string load_vec; + std::string vec_type_f16; + std::string vec_type; + if (vk_device.fp16) { + shader_float_type = shader_f16; + load_vec = "8"; + vec_type_f16 = "f16mat2x4"; + vec_type = "mat2x4"; + } else { + shader_float_type = shader_f32; + load_vec = "4"; + vec_type_f16 = "f16vec4"; + vec_type = "vec4"; + } + std::stringstream stream; - stream << mulmat_head << shader_f32 << mulmat_body; + stream << mulmat_head << shader_float_type << mulmat_body; vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline_from_string("matmul_f32_l", stream.str(), { "A_TYPE", "float", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline_from_string("matmul_f32_m", stream.str(), { "A_TYPE", "float", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline_from_string("matmul_f32_s", stream.str(), { "A_TYPE", "float", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_l", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "mat2x4", "B_TYPE", "mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_m", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "mat2x4", "B_TYPE", "mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_s", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "mat2x4", "B_TYPE", "mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_l", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_m", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_s", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); stream.str(""); stream.clear(); - stream << mulmat_head << shader_f16 << mulmat_body; + stream << mulmat_head << shader_float_type << mulmat_body; vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline_from_string("matmul_f16_l", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float16_t", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline_from_string("matmul_f16_m", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float16_t", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline_from_string("matmul_f16_s", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float16_t", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_l", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "f16mat2x4", "B_TYPE", "f16mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_m", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "f16mat2x4", "B_TYPE", "f16mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_s", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "f16mat2x4", "B_TYPE", "f16mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_l", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type_f16, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_m", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type_f16, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_s", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type_f16, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline_from_string("matmul_f16_f32_l", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline_from_string("matmul_f16_f32_m", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline_from_string("matmul_f16_f32_s", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_l", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "f16mat2x4", "B_TYPE", "mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_m", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "f16mat2x4", "B_TYPE", "mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_s", stream.str(), { "ALIGNED_INPUT", "", "A_TYPE", "f16mat2x4", "B_TYPE", "mat2x4", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_l", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_m", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_s", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); // Build dequant q4_0 stream.str(""); stream.clear(); - stream << dequant_head; - if (vk_device.fp16) { - stream << shader_f16 << shader_output_f16; - } else { - stream << shader_output_f32; - } - stream << dequant_q4_0_defines << dequant_body; + stream << dequant_head << shader_float_type << dequant_q4_0_defines << dequant_body; - vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline_from_string("dequant_q4_0", stream.str(), {}, "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); + vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline_from_string("dequant_q4_0", stream.str(), { "D_TYPE", "float16_t" }, "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); // mul mat vec stream.str(""); stream.clear(); - stream << mul_mat_vec_head << shader_f16 << shader_int8_ext << shader_output_f32 << mul_mat_vec_b_type_f16 << mul_mat_vec_q4_0_defines << mul_mat_vec_body; + stream << mul_mat_vec_head << shader_float_type; + if (vk_device.fp16) { + stream << shader_int8_ext << mul_mat_vec_q4_0_dequant_func; + } else { + stream << mul_mat_vec_q4_0_dequant_func_compat; + } + stream << mul_mat_vec_q4_0_defines << mul_mat_vec_body; - vk_pipeline_dequant_mul_mat_vec_q4_0 = ggml_vk_create_pipeline_from_string("mul_mat_vec_q4_0", stream.str(), {}, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_q4_0 = ggml_vk_create_pipeline_from_string("mul_mat_vec_q4_0", stream.str(), { "D_TYPE", "float", "B_TYPE", "float16_t" }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); stream.str(""); stream.clear(); - stream << mul_mat_vec_head << shader_f16 << shader_int8_ext << shader_output_f32 << mul_mat_vec_b_type_f32 << mul_mat_vec_q4_0_defines << mul_mat_vec_body; + stream << mul_mat_vec_head << shader_float_type; + if (vk_device.fp16) { + stream << shader_int8_ext << mul_mat_vec_q4_0_dequant_func; + } else { + stream << mul_mat_vec_q4_0_dequant_func_compat; + } + stream << mul_mat_vec_q4_0_defines << mul_mat_vec_body; - vk_pipeline_dequant_mul_mat_vec_q4_0_f32 = ggml_vk_create_pipeline_from_string("mul_mat_vec_q4_0_f32", stream.str(), {}, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_q4_0_f32 = ggml_vk_create_pipeline_from_string("mul_mat_vec_q4_0_f32", stream.str(), { "D_TYPE", "float", "B_TYPE", "float" }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); stream.str(""); stream.clear(); - stream << mul_mat_vec_head << shader_f16 << shader_output_f32 << mul_mat_vec_b_type_f16 << mul_mat_vec_f16_defines << mul_mat_vec_body; + stream << mul_mat_vec_head << shader_float_type; + if (vk_device.fp16) { + stream << shader_int8_ext << mul_mat_vec_f16_dequant_func; + } else { + stream << mul_mat_vec_f16_dequant_func_compat; + } + stream << mul_mat_vec_f16_defines << mul_mat_vec_body; - vk_pipeline_dequant_mul_mat_vec_f16 = ggml_vk_create_pipeline_from_string("mul_mat_vec_f16", stream.str(), {}, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f16 = ggml_vk_create_pipeline_from_string("mul_mat_vec_f16", stream.str(), { "D_TYPE", "float", "B_TYPE", "float16_t" }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); stream.str(""); stream.clear(); - stream << mul_mat_vec_head << shader_f16 << shader_output_f32 << mul_mat_vec_b_type_f32 << mul_mat_vec_f16_defines << mul_mat_vec_body; - vk_pipeline_dequant_mul_mat_vec_f16_f32 = ggml_vk_create_pipeline_from_string("mul_mat_vec_f16_f32", stream.str(), {}, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + stream << mul_mat_vec_head << shader_float_type; + if (vk_device.fp16) { + stream << shader_int8_ext << mul_mat_vec_f16_dequant_func; + } else { + stream << mul_mat_vec_f16_dequant_func_compat; + } + stream << mul_mat_vec_f16_defines << mul_mat_vec_body; + vk_pipeline_dequant_mul_mat_vec_f16_f32 = ggml_vk_create_pipeline_from_string("mul_mat_vec_f16_f32", stream.str(), { "D_TYPE", "float", "B_TYPE", "float" }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); // add stream.str(""); stream.clear(); - stream << add_head << add_body; + stream << add_head << shader_float_type << add_body; vk_pipeline_add_f32 = ggml_vk_create_pipeline_from_string("add_f32", stream.str(), { "X_TYPE", "float", "Y_TYPE", "float", "D_TYPE", "float" }, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); stream.str(""); stream.clear(); - stream << add_head << shader_f16 << add_body; + stream << add_head << shader_float_type << add_body; vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline_from_string("add_f16_f32_f16", stream.str(), { "X_TYPE", "float16_t", "Y_TYPE", "float", "D_TYPE", "float16_t" }, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); // Static shaders @@ -761,7 +795,7 @@ void ggml_vk_init(void) { #ifdef VK_DEBUG std::cerr << "ggml_vk_init()" << std::endl; #endif - char* GGML_VULKAN_DEVICE = getenv("GGML_VULKAN_DEVICE"); + const char* GGML_VULKAN_DEVICE = getenv("GGML_VULKAN_DEVICE"); int dev_num = (GGML_VULKAN_DEVICE == NULL ? 0 : atoi(GGML_VULKAN_DEVICE)); vk::ApplicationInfo app_info{ "ggml-vulkan", 1, nullptr, 0, VK_API_VERSION }; @@ -806,7 +840,10 @@ void ggml_vk_init(void) { } } - vk_device.fp16 = fp16_storage && fp16_compute; + const char* GGML_VULKAN_DISABLE_F16 = getenv("GGML_VULKAN_DISABLE_F16"); + bool force_disable_f16 = GGML_VULKAN_DISABLE_F16 != NULL; + + vk_device.fp16 = !force_disable_f16 && fp16_storage && fp16_compute; std::vector queue_family_props = vk_device.physical_device.getQueueFamilyProperties(); @@ -875,6 +912,8 @@ void ggml_vk_init(void) { if (vk_device.fp16) { std::cerr << "ggml_vulkan: 16-bit enabled" << std::endl; device_extensions.push_back("VK_KHR_shader_float16_int8"); + } else if (force_disable_f16) { + std::cerr << "ggml_vulkan: 16-bit force-disabled" << std::endl; } device_create_info = { vk::DeviceCreateFlags(), From 7e88677af496bd5caf60465104ddb39e00e2cc1a Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 15 Aug 2023 15:38:57 +0200 Subject: [PATCH 076/142] Add support for q4_1, q5_0, q5_1 and q8_0 --- ggml-vulkan-shaders.hpp | 250 +++++++++++++++++++++++++++------------- ggml-vulkan.cpp | 135 ++++++++++++---------- 2 files changed, 249 insertions(+), 136 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index a8d35ac38744f..2ec5d1eb600ed 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -12,11 +12,166 @@ const std::string shader_int8_ext = R"( #extension GL_EXT_shader_explicit_arithmetic_types_int8 : require )"; +// Type-specific defines +const std::string shader_f16_defines = R"( +#define QUANT_K 32 +#define QUANT_R 2 + +#define A_TYPE float16_t +)"; +const std::string shader_q4_0_defines = R"( +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q4_0 +{ + float16_t d; + uint8_t qs[16]; +}; + +#define A_TYPE block_q4_0 +)"; +const std::string shader_q4_1_defines = R"( +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q4_1 +{ + float16_t d; + float16_t m; + uint8_t qs[16]; +}; + +#define A_TYPE block_q4_1 +)"; +const std::string shader_q5_0_defines = R"( +#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q5_0 +{ + float16_t d; + uint16_t qh[2]; + uint8_t qs[16]; +}; + +#define A_TYPE block_q5_0 +)"; +const std::string shader_q5_1_defines = R"( +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q5_1 +{ + float16_t d; + float16_t m; + uint qh; + uint8_t qs[16]; +}; + +#define A_TYPE block_q5_1 +)"; +const std::string shader_q8_0_defines = R"( +#define QUANT_K 32 +#define QUANT_R 1 + +struct block_q8_0 +{ + float16_t d; + int8_t qs[32]; +}; + +#define A_TYPE block_q8_0 +)"; + +// Dequant functions +const std::string shader_f16_dequant_func = R"( +#define DEQUANT_FUNC f16vec2 v = f16vec2(x[ib + 0], x[ib + 1]); +)"; +const std::string shader_f16_dequant_func_compat = R"( +#define DEQUANT_FUNC vec2 v = vec2(x[ib + 0], x[ib + 1]); +)"; + +const std::string shader_q4_0_dequant_func = R"( +#define DEQUANT_FUNC const float16_t d = x[ib].d; \ +const uint8_t vui = x[ib].qs[iqs]; \ +f16vec2 v = f16vec2(vui & 0xF, vui >> 4); \ +v = (v - 8.0hf)*d; +)"; +const std::string shader_q4_0_dequant_func_compat = R"( +#define DEQUANT_FUNC const float d = float(x[ib].d); \ +const uint vui = uint(x[ib].qs[iqs]); \ +vec2 v = vec2(vui & 0xF, vui >> 4); \ +v = (v - 8.0f)*d; +)"; + +const std::string shader_q4_1_dequant_func = R"( +#define DEQUANT_FUNC const float16_t d = x[ib].d; \ +const float16_t m = x[ib].m; \ +const uint8_t vui = x[ib].qs[iqs]; \ +f16vec2 v = f16vec2(vui & 0xF, vui >> 4); \ +v = v*d + m; +)"; +const std::string shader_q4_1_dequant_func_compat = R"( +#define DEQUANT_FUNC const float d = float(x[ib].d); \ +const float m = float(x[ib].m); \ +const uint vui = uint(x[ib].qs[iqs]); \ +vec2 v = vec2(vui & 0xF, vui >> 4); \ +v = v*d + m; +)"; + +const std::string shader_q5_0_dequant_func = R"( +#define DEQUANT_FUNC const float16_t d = x[ib].d; \ +const uint uint_qh = uint(x[ib].qh[1]) << 16 | x[ib].qh[0]; \ +const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); \ +const uint8_t vui = x[ib].qs[iqs]; \ +f16vec2 v = f16vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ +v = (v - 16.0hf) * d; +)"; +const std::string shader_q5_0_dequant_func_compat = R"( +#define DEQUANT_FUNC const float d = float(x[ib].d); \ +const uint uint_qh = uint(x[ib].qh[1]) << 16 | x[ib].qh[0]; \ +const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); \ +const uint vui = uint(x[ib].qs[iqs]); \ +vec2 v = vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ +v = (v - 16.0f) * d; +)"; + +const std::string shader_q5_1_dequant_func = R"( +#define DEQUANT_FUNC const float16_t d = x[ib].d; \ +const float16_t m = x[ib].m; \ +const ivec2 qh = ivec2(((x[ib].qh >> iqs) << 4) & 0x10, (x[ib].qh >> (iqs + 12)) & 0x10); \ +const uint8_t vui = x[ib].qs[iqs]; \ +f16vec2 v = f16vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ +v = v*d + m; +)"; +const std::string shader_q5_1_dequant_func_compat = R"( +#define DEQUANT_FUNC const float d = float(x[ib].d); \ +const float m = float(x[ib].m); \ +const ivec2 qh = ivec2(((x[ib].qh >> iqs) << 4) & 0x10, (x[ib].qh >> (iqs + 12)) & 0x10); \ +const uint vui = uint(x[ib].qs[iqs]); \ +vec2 v = vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ +v = v*d + m; +)"; + +const std::string shader_q8_0_dequant_func = R"( +#define DEQUANT_FUNC const float16_t d = x[ib].d; \ +f16vec2 v = f16vec2(x[ib].qs[iqs], x[ib].qs[iqs + 1]); \ +v = v * d; +)"; +const std::string shader_q8_0_dequant_func_compat = R"( +#define DEQUANT_FUNC const float d = float(x[ib].d); \ +vec2 v = vec2(int(x[ib].qs[iqs]), int(x[ib].qs[iqs + 1])); \ +v = v * d; +)"; + // MULMAT const std::string mulmat_head = R"( #version 450 +#extension GL_EXT_scalar_block_layout : require #extension GL_EXT_control_flow_attributes : enable #extension GL_EXT_shader_16bit_storage : require @@ -30,7 +185,7 @@ const std::string mulmat_head = R"( const std::string mulmat_body = R"( layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A { A_TYPE data_a[]; }; +layout (binding = 0, scalar) readonly buffer A { A_TYPE data_a[]; }; layout (binding = 1) readonly buffer B { B_TYPE data_b[]; }; layout (binding = 2) writeonly buffer D { D_TYPE data_d[]; }; @@ -238,28 +393,16 @@ void main() { const std::string dequant_head = R"( #version 450 +#extension GL_EXT_scalar_block_layout : require #extension GL_EXT_control_flow_attributes : require #extension GL_EXT_shader_16bit_storage : require #extension GL_EXT_shader_explicit_arithmetic_types_int8 : require )"; -const std::string dequant_q4_0_defines = R"( -#define QUANT_K 32 -#define QUANT_R 2 - -struct block_q4_0 -{ - float16_t d; - uint8_t qs[16]; -}; - -#define A_TYPE block_q4_0 -)"; - const std::string dequant_body = R"( layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A { A_TYPE x[]; }; +layout (binding = 0, scalar) readonly buffer A { A_TYPE x[]; }; layout (binding = 1) writeonly buffer D { D_TYPE y[]; }; layout (push_constant) uniform parameter @@ -283,15 +426,16 @@ void main() { const int stride_a = p.stride_a / QUANT_K; - const int idx = col * stride_a + row; - const FLOAT_TYPE d = FLOAT_TYPE(x[idx].d); + const int ib = col * stride_a + row; + + const int y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; + const int step = QUANT_R == 1 ? 2 : 1; - [[unroll]] for (int j = 0; j < QUANT_K/2; ++j) { - const FLOAT_TYPE x0 = FLOAT_TYPE((x[idx].qs[j] & 0x0F) - 8); - const FLOAT_TYPE x1 = FLOAT_TYPE((x[idx].qs[j] >> 4) - 8); + [[unroll]] for (int iqs = 0; iqs < QUANT_K/QUANT_R; iqs += step) { + DEQUANT_FUNC - y[col * p.stride_b + row*QUANT_K + j + 0 ] = D_TYPE(x0*d); - y[col * p.stride_b + row*QUANT_K + j + QUANT_K/2] = D_TYPE(x1*d); + y[col * p.stride_b + row*QUANT_K + iqs + 0 ] = D_TYPE(v.x); + y[col * p.stride_b + row*QUANT_K + iqs + y_offset] = D_TYPE(v.y); } } )"; @@ -300,64 +444,16 @@ void main() { const std::string mul_mat_vec_head = R"( #version 450 +#extension GL_EXT_scalar_block_layout : require #extension GL_EXT_control_flow_attributes : enable #extension GL_EXT_shader_16bit_storage : require #extension GL_EXT_shader_8bit_storage : require )"; -const std::string mul_mat_vec_f16_defines = R"( -#define QUANT_K 32 -#define QUANT_R 2 -#define BLOCK_SIZE 32 - -#define A_TYPE float16_t -)"; - -const std::string mul_mat_vec_f16_dequant_func = R"( -#define DEQUANT_FUNC float16_t v0 = x[ib + 0]; \ -float16_t v1 = x[ib + 1]; -)"; - -const std::string mul_mat_vec_f16_dequant_func_compat = R"( -#define DEQUANT_FUNC float v0 = float(x[ib + 0]); \ -float v1 = float(x[ib + 1]); -)"; - -const std::string mul_mat_vec_q4_0_defines = R"( -#define QUANT_K 32 -#define QUANT_R 2 -#define BLOCK_SIZE 32 - -struct block_q4_0 -{ - float16_t d; - uint8_t qs[16]; -}; -#define A_TYPE block_q4_0 -)"; - -const std::string mul_mat_vec_q4_0_dequant_func = R"( -#define DEQUANT_FUNC const float16_t d = x[ib].d; \ -const uint8_t vui = x[ib].qs[iqs]; \ -const int8_t vi0 = int8_t(vui & 0xF); \ -const int8_t vi1 = int8_t(vui >> 4); \ -float16_t v0 = float16_t(vi0 - 8)*d; \ -float16_t v1 = float16_t(vi1 - 8)*d; -)"; - -const std::string mul_mat_vec_q4_0_dequant_func_compat = R"( -#define DEQUANT_FUNC const float d = float(x[ib].d); \ -const uint vui = uint(x[ib].qs[iqs]); \ -const int vi0 = int(vui) & 0xF; \ -const int vi1 = int(vui) >> 4; \ -float v0 = float(vi0 - 8)*d; \ -float v1 = float(vi1 - 8)*d; -)"; - const std::string mul_mat_vec_body = R"( -layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; +layout(local_size_x = QUANT_K, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A { A_TYPE x[]; }; +layout (binding = 0, scalar) readonly buffer A { A_TYPE x[]; }; layout (binding = 1) readonly buffer B { B_TYPE y[]; }; layout (binding = 2) writeonly buffer D { D_TYPE dst[]; }; @@ -366,14 +462,14 @@ layout (push_constant) uniform parameter int ncols; } p; -shared FLOAT_TYPE tmp[BLOCK_SIZE]; +shared FLOAT_TYPE tmp[QUANT_K]; void main() { const int block_size = int(gl_WorkGroupSize.x); const int row = int(gl_WorkGroupID.x); const int tid = int(gl_LocalInvocationID.x); - const int y_offset = QUANT_K/2; + const int y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; tmp[tid] = FLOAT_TYPE(0.0f); @@ -386,8 +482,8 @@ void main() { DEQUANT_FUNC // matrix multiplication - tmp[tid] += FLOAT_TYPE(v0) * FLOAT_TYPE(y[iybs + iqs + 0]); - tmp[tid] += FLOAT_TYPE(v1) * FLOAT_TYPE(y[iybs + iqs + y_offset]); + tmp[tid] += FLOAT_TYPE(v.x) * FLOAT_TYPE(y[iybs + iqs + 0]); + tmp[tid] += FLOAT_TYPE(v.y) * FLOAT_TYPE(y[iybs + iqs + y_offset]); } // sum up partial sums and write back result diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index ebe355ce8cebf..d45d9ee267418 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -52,6 +52,8 @@ #define VK_SUBMIT_BATCH 3 +#define VK_NUM_TYPES 16 + typedef void (*ggml_vk_func_t)(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst); struct vk_buffer { @@ -157,12 +159,12 @@ vk_pipeline vk_pipeline_matmul_f16_aligned_l, vk_pipeline_matmul_f16_aligned_m, vk_pipeline vk_pipeline_matmul_f16_f32_l, vk_pipeline_matmul_f16_f32_m, vk_pipeline_matmul_f16_f32_s; vk_pipeline vk_pipeline_matmul_f16_f32_aligned_l, vk_pipeline_matmul_f16_f32_aligned_m, vk_pipeline_matmul_f16_f32_aligned_s; vk_pipeline vk_pipeline_matmul_split_k_reduce; -vk_pipeline vk_pipeline_dequant_mul_mat_vec_f16, vk_pipeline_dequant_mul_mat_vec_q4_0; -vk_pipeline vk_pipeline_dequant_mul_mat_vec_f16_f32, vk_pipeline_dequant_mul_mat_vec_q4_0_f32; +vk_pipeline vk_pipeline_dequant[VK_NUM_TYPES]; +vk_pipeline vk_pipeline_dequant_mul_mat_vec[VK_NUM_TYPES]; +vk_pipeline vk_pipeline_dequant_mul_mat_vec_f32[VK_NUM_TYPES]; vk_pipeline vk_pipeline_mul_f32; vk_pipeline vk_pipeline_add_f32, vk_pipeline_add_f16_f32_f16; vk_pipeline vk_pipeline_scale_f32; -vk_pipeline vk_pipeline_f32_to_f16, vk_pipeline_dequant_q4_0; static std::vector> vk_pinned_memory; @@ -651,6 +653,31 @@ static void ggml_vk_destroy_buffer(vk_buffer& buf) { } } +static inline bool ggml_vk_build_shader_type_defines(std::stringstream& stream, ggml_type type, bool compat) { + switch(type) { + case GGML_TYPE_F16: + stream << shader_f16_defines << (compat ? shader_f16_dequant_func_compat : shader_f16_dequant_func); + return true; + case GGML_TYPE_Q4_0: + stream << shader_q4_0_defines << (compat ? shader_q4_0_dequant_func_compat : shader_q4_0_dequant_func); + return true; + case GGML_TYPE_Q4_1: + stream << shader_q4_1_defines << (compat ? shader_q4_1_dequant_func_compat : shader_q4_1_dequant_func); + return true; + case GGML_TYPE_Q5_0: + stream << shader_q5_0_defines << (compat ? shader_q5_0_dequant_func_compat : shader_q5_0_dequant_func); + return true; + case GGML_TYPE_Q5_1: + stream << shader_q5_1_defines << (compat ? shader_q5_1_dequant_func_compat : shader_q5_1_dequant_func); + return true; + case GGML_TYPE_Q8_0: + stream << shader_q8_0_defines << (compat ? shader_q8_0_dequant_func_compat : shader_q8_0_dequant_func); + return true; + default: + return false; + } +} + static void ggml_vk_generate_shaders() { #ifdef VK_DEBUG std::cerr << "ggml_vk_generate_shaders()" << std::endl; @@ -705,65 +732,46 @@ static void ggml_vk_generate_shaders() { vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_m", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_s", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - // Build dequant q4_0 - stream.str(""); - stream.clear(); - - stream << dequant_head << shader_float_type << dequant_q4_0_defines << dequant_body; + // Build dequant shaders + vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline_from_string("f32_to_f16", f32_to_f16_src, {}, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); - vk_pipeline_dequant_q4_0 = ggml_vk_create_pipeline_from_string("dequant_q4_0", stream.str(), { "D_TYPE", "float16_t" }, "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); + for (int i = 0; i < VK_NUM_TYPES; i++) { + stream.str(""); + stream.clear(); - // mul mat vec - stream.str(""); - stream.clear(); + stream << dequant_head << shader_float_type; + if (vk_device.fp16) { + stream << shader_int8_ext; + } - stream << mul_mat_vec_head << shader_float_type; - if (vk_device.fp16) { - stream << shader_int8_ext << mul_mat_vec_q4_0_dequant_func; - } else { - stream << mul_mat_vec_q4_0_dequant_func_compat; - } - stream << mul_mat_vec_q4_0_defines << mul_mat_vec_body; + if (!ggml_vk_build_shader_type_defines(stream, (ggml_type)i, !vk_device.fp16)) { + continue; + } - vk_pipeline_dequant_mul_mat_vec_q4_0 = ggml_vk_create_pipeline_from_string("mul_mat_vec_q4_0", stream.str(), { "D_TYPE", "float", "B_TYPE", "float16_t" }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + stream << dequant_body; - stream.str(""); - stream.clear(); - - stream << mul_mat_vec_head << shader_float_type; - if (vk_device.fp16) { - stream << shader_int8_ext << mul_mat_vec_q4_0_dequant_func; - } else { - stream << mul_mat_vec_q4_0_dequant_func_compat; + vk_pipeline_dequant[i] = ggml_vk_create_pipeline_from_string("dequant_" + std::string(ggml_type_name((ggml_type)i)), stream.str(), { "D_TYPE", "float16_t" }, "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); } - stream << mul_mat_vec_q4_0_defines << mul_mat_vec_body; - vk_pipeline_dequant_mul_mat_vec_q4_0_f32 = ggml_vk_create_pipeline_from_string("mul_mat_vec_q4_0_f32", stream.str(), { "D_TYPE", "float", "B_TYPE", "float" }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - - stream.str(""); - stream.clear(); + // mul mat vec + for (int i = 0; i < VK_NUM_TYPES; i++) { + stream.str(""); + stream.clear(); - stream << mul_mat_vec_head << shader_float_type; - if (vk_device.fp16) { - stream << shader_int8_ext << mul_mat_vec_f16_dequant_func; - } else { - stream << mul_mat_vec_f16_dequant_func_compat; - } - stream << mul_mat_vec_f16_defines << mul_mat_vec_body; + stream << mul_mat_vec_head << shader_float_type; + if (vk_device.fp16) { + stream << shader_int8_ext; + } - vk_pipeline_dequant_mul_mat_vec_f16 = ggml_vk_create_pipeline_from_string("mul_mat_vec_f16", stream.str(), { "D_TYPE", "float", "B_TYPE", "float16_t" }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + if (!ggml_vk_build_shader_type_defines(stream, (ggml_type)i, !vk_device.fp16)) { + continue; + } - stream.str(""); - stream.clear(); + stream << mul_mat_vec_body; - stream << mul_mat_vec_head << shader_float_type; - if (vk_device.fp16) { - stream << shader_int8_ext << mul_mat_vec_f16_dequant_func; - } else { - stream << mul_mat_vec_f16_dequant_func_compat; + vk_pipeline_dequant_mul_mat_vec[i] = ggml_vk_create_pipeline_from_string("mul_mat_vec_" + std::string(ggml_type_name((ggml_type)i)), stream.str(), { "B_TYPE", "float", "D_TYPE", "float16_t" }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[i] = ggml_vk_create_pipeline_from_string("mul_mat_vec_" + std::string(ggml_type_name((ggml_type)i)) + "_f32", stream.str(), { "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); } - stream << mul_mat_vec_f16_defines << mul_mat_vec_body; - vk_pipeline_dequant_mul_mat_vec_f16_f32 = ggml_vk_create_pipeline_from_string("mul_mat_vec_f16_f32", stream.str(), { "D_TYPE", "float", "B_TYPE", "float" }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); // add stream.str(""); @@ -779,7 +787,6 @@ static void ggml_vk_generate_shaders() { // Static shaders vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline_from_string("split_k_reduce", mulmat_split_k_reduce_src, {}, "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); - vk_pipeline_f32_to_f16 = ggml_vk_create_pipeline_from_string("f32_to_f16", f32_to_f16_src, {}, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); vk_pipeline_mul_f32 = ggml_vk_create_pipeline_from_string("mul_f32", mul_f32_src, { "X_TYPE", "float", "Y_TYPE", "float", "D_TYPE", "float" }, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); vk_pipeline_scale_f32 = ggml_vk_create_pipeline_from_string("scale_f32", scale_src, { "X_TYPE", "float", "D_TYPE", "float" }, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); @@ -994,32 +1001,42 @@ void ggml_vk_init(void) { #endif } -static vk_pipeline* ggml_vk_get_to_fp16(ggml_type type) { +static inline vk_pipeline* ggml_vk_get_to_fp16(ggml_type type) { #ifdef VK_DEBUG std::cerr << "ggml_vk_get_to_fp16()" << std::endl; #endif switch (type) { - case GGML_TYPE_Q4_0: - return &vk_pipeline_dequant_q4_0; case GGML_TYPE_F32: - return &vk_pipeline_f32_to_f16; + case GGML_TYPE_Q4_0: + case GGML_TYPE_Q4_1: + case GGML_TYPE_Q5_0: + case GGML_TYPE_Q5_1: + case GGML_TYPE_Q8_0: + break; default: return nullptr; } + + return &vk_pipeline_dequant[type]; } -static vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type, bool f16_y) { +static inline vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type, bool f16_y) { #ifdef VK_DEBUG std::cerr << "ggml_vk_get_dequantize_mul_mat_vec()" << std::endl; #endif switch (type) { - case GGML_TYPE_Q4_0: - return f16_y ? &vk_pipeline_dequant_mul_mat_vec_q4_0 : &vk_pipeline_dequant_mul_mat_vec_q4_0_f32; case GGML_TYPE_F16: - return f16_y ? &vk_pipeline_dequant_mul_mat_vec_f16 : &vk_pipeline_dequant_mul_mat_vec_f16_f32; + case GGML_TYPE_Q4_0: + case GGML_TYPE_Q4_1: + case GGML_TYPE_Q5_0: + case GGML_TYPE_Q5_1: + case GGML_TYPE_Q8_0: + break; default: return nullptr; } + + return f16_y ? &vk_pipeline_dequant_mul_mat_vec[type] : &vk_pipeline_dequant_mul_mat_vec_f32[type]; } // buffer pool for vulkan From 5ae5d2bd5b165ae8cb55ffd053bf959952cab6b5 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 19 Aug 2023 17:53:48 +0200 Subject: [PATCH 077/142] Remove unnecessary scalar layout extension --- ggml-vulkan-shaders.hpp | 9 ++--- ggml-vulkan.cpp | 76 ----------------------------------------- 2 files changed, 3 insertions(+), 82 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index 2ec5d1eb600ed..cf52927b34d02 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -171,7 +171,6 @@ v = v * d; const std::string mulmat_head = R"( #version 450 -#extension GL_EXT_scalar_block_layout : require #extension GL_EXT_control_flow_attributes : enable #extension GL_EXT_shader_16bit_storage : require @@ -185,7 +184,7 @@ const std::string mulmat_head = R"( const std::string mulmat_body = R"( layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0, scalar) readonly buffer A { A_TYPE data_a[]; }; +layout (binding = 0) readonly buffer A { A_TYPE data_a[]; }; layout (binding = 1) readonly buffer B { B_TYPE data_b[]; }; layout (binding = 2) writeonly buffer D { D_TYPE data_d[]; }; @@ -393,7 +392,6 @@ void main() { const std::string dequant_head = R"( #version 450 -#extension GL_EXT_scalar_block_layout : require #extension GL_EXT_control_flow_attributes : require #extension GL_EXT_shader_16bit_storage : require #extension GL_EXT_shader_explicit_arithmetic_types_int8 : require @@ -402,7 +400,7 @@ const std::string dequant_head = R"( const std::string dequant_body = R"( layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0, scalar) readonly buffer A { A_TYPE x[]; }; +layout (binding = 0) readonly buffer A { A_TYPE x[]; }; layout (binding = 1) writeonly buffer D { D_TYPE y[]; }; layout (push_constant) uniform parameter @@ -444,7 +442,6 @@ void main() { const std::string mul_mat_vec_head = R"( #version 450 -#extension GL_EXT_scalar_block_layout : require #extension GL_EXT_control_flow_attributes : enable #extension GL_EXT_shader_16bit_storage : require #extension GL_EXT_shader_8bit_storage : require @@ -453,7 +450,7 @@ const std::string mul_mat_vec_head = R"( const std::string mul_mat_vec_body = R"( layout(local_size_x = QUANT_K, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0, scalar) readonly buffer A { A_TYPE x[]; }; +layout (binding = 0) readonly buffer A { A_TYPE x[]; }; layout (binding = 1) readonly buffer B { B_TYPE y[]; }; layout (binding = 2) writeonly buffer D { D_TYPE dst[]; }; diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index d45d9ee267418..d61e1d058e1b3 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -796,7 +796,6 @@ void ggml_vk_test_transfer(size_t ne); void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); void ggml_vk_test_buffer_write_zeropad(size_t m, size_t k, size_t align); -void ggml_vk_test_f32_to_f16(size_t m, size_t k); void ggml_vk_init(void) { #ifdef VK_DEBUG @@ -953,11 +952,6 @@ void ggml_vk_init(void) { ggml_vk_test_buffer_write_zeropad(233, 97, 1); ggml_vk_test_buffer_write_zeropad(256, 128, 1); - ggml_vk_test_f32_to_f16(214, 256); - ggml_vk_test_f32_to_f16(256, 2048); - ggml_vk_test_f32_to_f16(24, 1000); - ggml_vk_test_f32_to_f16(24, 24); - int step = 16; for (size_t m = step; m < 64; m += step) { ggml_vk_test_transfer(1024 * 1024 * m); @@ -2640,76 +2634,6 @@ void ggml_vk_test_transfer(size_t ne) { free(x); free(y); } -void ggml_vk_test_f32_to_f16(size_t m, size_t k) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_test_transfer(" << ne << ")" << std::endl; -#endif - // Check transfers are correct - const uint32_t ne = m * k; - vk_buffer d_X = ggml_vk_create_buffer(sizeof(float) * ne, vk::MemoryPropertyFlagBits::eDeviceLocal); - vk_buffer d_Y = ggml_vk_create_buffer(sizeof(ggml_fp16_t) * ne, vk::MemoryPropertyFlagBits::eDeviceLocal); - - float* x = (float *) malloc(sizeof(float) * ne); - ggml_fp16_t* y = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * ne); - - for (size_t i = 0; i < ne; i++) { - x[i] = rand() / (float)RAND_MAX; - } - - ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_f32_to_f16, 1); - - auto begin = std::chrono::high_resolution_clock::now(); - - ggml_vk_buffer_write(&d_X, 0, x, sizeof(float) * ne, vk_device.transfer_queues[0]); - - vk_device.transfer_queues[0].queue.waitIdle(); - - auto end = std::chrono::high_resolution_clock::now(); - - double ms_to_gpu = std::chrono::duration_cast(end-begin).count() / 1000.0; - - begin = std::chrono::high_resolution_clock::now(); - - std::vector seqs; - vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); - const std::vector pc = { (int)m, (int)k, (int)k, (int)k }; - ggml_vk_sync_buffers(s.buffer, { { d_X, 0, (uint32_t)sizeof(float) * ne } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { { d_Y, 0, (uint32_t)sizeof(ggml_fp16_t) * ne} }, vk_device.compute_queue, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, vk_pipeline_f32_to_f16, { { d_X, 0, (uint32_t)sizeof(float) * ne }, { d_Y, 0, (uint32_t)sizeof(ggml_fp16_t) * ne } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)ne, 1, 1}); - ggml_vk_end_submission(s, {}, {}); - seqs.push_back({ s }); - - ggml_vk_submit(vk_device.compute_queue, seqs, VK_NULL_HANDLE); - - vk_device.compute_queue.queue.waitIdle(); - - end = std::chrono::high_resolution_clock::now(); - - double ms_convert = std::chrono::duration_cast(end-begin).count() / 1000.0; - - begin = std::chrono::high_resolution_clock::now(); - - ggml_vk_buffer_read(&d_Y, 0, y, sizeof(ggml_fp16_t) * ne, vk_device.transfer_queues[1]); - - end = std::chrono::high_resolution_clock::now(); - - double ms_from_gpu = std::chrono::duration_cast(end-begin).count() / 1000.0; - - double avg_err = 0.0; - for (size_t i = 0; i < ne; i++) { - avg_err += std::fabs(x[i] - ggml_fp16_to_fp32(y[i])); - } - - std::cerr << "TEST F32 TO F16 " << ms_to_gpu << "ms to_gpu " << ms_convert << "ms convert " << ms_from_gpu << "ms from gpu avg_err=" << avg_err / ne << std::endl; - - ggml_vk_destroy_buffer(d_X); - ggml_vk_destroy_buffer(d_Y); - - ggml_vk_pipeline_cleanup(vk_pipeline_f32_to_f16); - - free(x); - free(y); -} void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size) { #ifdef VK_DEBUG From 7f89e40e52ad17dee222497b930a23569488f7af Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 29 Sep 2023 17:08:09 +0200 Subject: [PATCH 078/142] Parse graph early to pre-record command buffers --- CMakeLists.txt | 7 +- ggml-vulkan.cpp | 787 ++++++++++++++++++++++++++++-------------------- ggml-vulkan.h | 4 + ggml.c | 2 +- llama.cpp | 15 + 5 files changed, 487 insertions(+), 328 deletions(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index 9f716d0a226a4..0329af5638df2 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -75,6 +75,7 @@ set(LLAMA_CUDA_MMV_Y "1" CACHE STRING "llama: y block size for mmv CUDA k option(LLAMA_CUDA_F16 "llama: use 16 bit floats for some calculations" OFF) set(LLAMA_CUDA_KQUANTS_ITER "2" CACHE STRING "llama: iters./thread per block for Q2_K/Q6_K") option(LLAMA_CLBLAST "llama: use CLBlast" OFF) +option(LLAMA_VULKAN "llama: use Vulkan" OFF) option(LLAMA_METAL "llama: use Metal" OFF) option(LLAMA_MPI "llama: use MPI" OFF) option(LLAMA_K_QUANTS "llama: use k-quants" ON) @@ -355,12 +356,14 @@ if (LLAMA_CLBLAST) endif() if (LLAMA_VULKAN) - find_package(Vulkan COMPONENTS glslc SPIRV-Tools) + find_package(Vulkan COMPONENTS shaderc_combined) + find_package(glslang) + find_package(SPIRV-Tools-opt) if (Vulkan_FOUND) message(STATUS "Vulkan found") add_library(ggml-vulkan STATIC ggml-vulkan.cpp ggml-vulkan.h) - target_link_libraries(ggml-vulkan PUBLIC Vulkan::Vulkan SPIRV SPIRV-Tools-opt SPIRV-Tools shaderc_combined) + target_link_libraries(ggml-vulkan PUBLIC Vulkan::Vulkan Vulkan::shaderc_combined) add_compile_definitions(GGML_USE_VULKAN) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index d61e1d058e1b3..cf42fa7682b96 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -79,7 +79,7 @@ struct vk_pipeline { vk::DescriptorSetLayout dsl; std::vector descriptor_pools; std::vector descriptor_sets; - uint32_t descriptor_set_index; + uint32_t descriptor_set_idx; vk::PipelineLayout layout; vk::Pipeline pipeline; uint32_t push_constant_size; @@ -125,6 +125,8 @@ struct vk_submission { std::vector signal_semaphores; }; +typedef std::vector vk_sequence; + struct vk_device { vk::PhysicalDevice physical_device; vk::PhysicalDeviceProperties properties; @@ -136,8 +138,6 @@ struct vk_device { uint32_t descriptor_set_mode; }; -typedef std::vector vk_sequence; - struct vk_op_push_constants { int M; int N; @@ -150,6 +150,30 @@ struct vk_op_push_constants { float scale; }; +// Allow pre-recording command buffers +struct vk_staging_memcpy { + vk_staging_memcpy(void * _dst, const void * _src, size_t _n) : dst(_dst), src(_src), n(_n) {} + + void * dst; + const void * src; + size_t n; +}; + +struct ggml_vk_tensor_extra_gpu { + std::vector buffer_idx; + + std::vector memcpys; + std::vector in0_seqs; + std::vector in1_seqs; + std::vector comp_seqs; + std::vector out_seqs; +}; + +struct ggml_vk_garbage_collector { + std::vector pipelines; + std::vector extras; +}; + vk::Instance vk_instance; vk_device vk_device; vk_pipeline vk_pipeline_matmul_f32_l, vk_pipeline_matmul_f32_m, vk_pipeline_matmul_f32_s; @@ -166,7 +190,11 @@ vk_pipeline vk_pipeline_mul_f32; vk_pipeline vk_pipeline_add_f32, vk_pipeline_add_f16_f32_f16; vk_pipeline vk_pipeline_scale_f32; +static ggml_vk_garbage_collector vk_gc; static std::vector> vk_pinned_memory; +static std::vector vk_preallocated_buffer_sizes; +static std::vector vk_preallocated_buffers; +static vk::Fence vk_fence; static std::vector ggml_vk_compile_shader(const std::string& name, const std::string& src, std::vector&& defines) { #ifdef VK_DEBUG @@ -270,7 +298,7 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_s pipeline.descriptor_pools.push_back(vk_device.device.createDescriptorPool(descriptor_pool_create_info)); } - pipeline.descriptor_set_index = 0; + pipeline.descriptor_set_idx = 0; vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), pipeline.dsl, pcr); pipeline.layout = vk_device.device.createPipelineLayout(pipeline_layout_create_info); @@ -337,13 +365,26 @@ static void ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline& pipeline, uin #ifdef VK_DEBUG std::cerr << "ggml_vk_pipeline_allocate_descriptor_sets(" << pipeline.name << ", " << n << ")" << std::endl; #endif - if (pipeline.descriptor_sets.size() >= n) { + // Check if gc already contains pipeline before adding it + bool gc_found = false; + for (auto * pl : vk_gc.pipelines) { + if (&pipeline == pl) { + gc_found = true; + break; + } + } + + if (!gc_found) { + vk_gc.pipelines.push_back(&pipeline); + } + + if (pipeline.descriptor_sets.size() >= pipeline.descriptor_set_idx + n) { // Enough descriptors are available return; } if (vk_device.descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI) { - const uint32_t alloc_count = n - pipeline.descriptor_sets.size(); + const uint32_t alloc_count = pipeline.descriptor_set_idx + n - pipeline.descriptor_sets.size(); std::vector layouts(alloc_count); for (uint32_t i = 0; i < alloc_count; i++) { @@ -353,7 +394,7 @@ static void ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline& pipeline, uin std::vector sets = vk_device.device.allocateDescriptorSets(descriptor_set_alloc_info); pipeline.descriptor_sets.insert(pipeline.descriptor_sets.end(), sets.begin(), sets.end()); } else { - for (uint32_t i = pipeline.descriptor_sets.size(); i < n; i++) { + for (uint32_t i = pipeline.descriptor_sets.size(); i < pipeline.descriptor_set_idx + n; i++) { vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline.parameter_count); vk::DescriptorPoolCreateInfo descriptor_pool_create_info({}, 1, descriptor_pool_size); pipeline.descriptor_pools.push_back(vk_device.device.createDescriptorPool(descriptor_pool_create_info)); @@ -369,7 +410,7 @@ static void ggml_vk_pipeline_cleanup(vk_pipeline& pipeline) { #ifdef VK_DEBUG std::cerr << "ggml_vk_pipeline_cleanup(" << pipeline.name << ")" << std::endl; #endif - pipeline.descriptor_set_index = 0; + pipeline.descriptor_set_idx = 0; } static vk::CommandBuffer ggml_vk_create_cmd_buffer(vk_queue& q) { @@ -414,7 +455,7 @@ static vk_sequence ggml_vk_create_sequence_1(vk_queue& q, std::vector& sequences, vk::Fence fence) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_submit(" << q.queue_family_index << " (" << q.queue << "), " << sequences.size() << ")" << std::endl; + std::cerr << "ggml_vk_submit(" << q.queue_family_index << ", (" << q.queue << "), " << sequences.size() << ")" << std::endl; #endif if (sequences.empty()) { return; @@ -947,6 +988,8 @@ void ggml_vk_init(void) { } } + vk_fence = vk_device.device.createFence({}); + #if defined(VK_CHK_KERNEL) ggml_vk_test_buffer_write_zeropad(233, 97, 128); ggml_vk_test_buffer_write_zeropad(233, 97, 1); @@ -1180,16 +1223,16 @@ static vk_submission ggml_vk_begin_submission(vk_queue& q) { } static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, std::vector&& buffers, size_t push_constant_size, const void* push_constants, std::array elements) { - uint32_t wg0 = CEIL_DIV(elements[0], pipeline.wg_denoms[0]); - uint32_t wg1 = CEIL_DIV(elements[1], pipeline.wg_denoms[1]); - uint32_t wg2 = CEIL_DIV(elements[2], pipeline.wg_denoms[2]); + const uint32_t wg0 = CEIL_DIV(elements[0], pipeline.wg_denoms[0]); + const uint32_t wg1 = CEIL_DIV(elements[1], pipeline.wg_denoms[1]); + const uint32_t wg2 = CEIL_DIV(elements[2], pipeline.wg_denoms[2]); #ifdef VK_DEBUG std::cerr << "ggml_vk_dispatch_pipeline(" << pipeline.name << ", (" << wg0 << "," << wg1 << "," << wg2 << "))" << std::endl; #endif std::vector descriptor_buffer_infos; std::vector write_descriptor_sets; - GGML_ASSERT(pipeline.descriptor_set_index < pipeline.descriptor_sets.size()); - vk::DescriptorSet& descriptor_set = pipeline.descriptor_sets[pipeline.descriptor_set_index++]; + GGML_ASSERT(pipeline.descriptor_set_idx < pipeline.descriptor_sets.size()); + vk::DescriptorSet& descriptor_set = pipeline.descriptor_sets[pipeline.descriptor_set_idx++]; for (uint32_t i = 0; i < pipeline.parameter_count; i++) { descriptor_buffer_infos.push_back({buffers[i].buffer.buffer, buffers[i].offset, buffers[i].size}); } @@ -1216,7 +1259,7 @@ static void ggml_vk_end_submission(vk_submission& s, std::vector s.signal_semaphores = std::move(signal_semaphores); } -static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr) { +static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; #endif @@ -1295,10 +1338,18 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, } if (width == spitch) { - memcpy(dst->sb_write->ptr, src, width * height); + if (pre_staging == nullptr) { + memcpy(dst->sb_write->ptr, src, width * height); + } else { + pre_staging->emplace_back((void *) dst->sb_write->ptr, (const void *) src, width * height); + } } else { for (size_t i = 0; i < height; i++) { - memcpy((uint8_t *)dst->sb_write->ptr + offset + i * width, (const uint8_t *) src + i * spitch, width); + if (pre_staging == nullptr) { + memcpy((uint8_t *)dst->sb_write->ptr + offset + i * width, (const uint8_t *) src + i * spitch, width); + } else { + pre_staging->emplace_back((void *) ((uint8_t *)dst->sb_write->ptr + offset + i * width), (const void *) ((const uint8_t *) src + i * spitch), width); + } } } @@ -1332,6 +1383,8 @@ static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async_zeropad(" << offset << ", " << spitch << ", " << width << ", " << height << ", " << align << ")" << std::endl; #endif + // Outdated + GGML_ASSERT(false); // Buffer is already mapped if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { std::cerr << "ggml_vulkan: buffer_write_2d_async_zeropad dst buffer is host_visible. Use synchronous write." << std::endl; @@ -1435,11 +1488,11 @@ static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t return { *s }; } -static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr) { +static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; #endif - return ggml_vk_buffer_write_2d_async(dst, offset, src, 0, size, 1, q, std::move(wait_semaphores), std::move(signal_semaphores), s); + return ggml_vk_buffer_write_2d_async(dst, offset, src, 0, size, 1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); } static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q) { @@ -1567,7 +1620,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } } -static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr) { +static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_h2d_tensor_2d()" << std::endl; #endif @@ -1584,10 +1637,10 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const st const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); if (nb0 == ts && nb1 == row_length) { - return ggml_vk_buffer_write_async(dst, offset, x, ne1*nb1, q, std::move(wait_semaphores), std::move(signal_semaphores), s); + return ggml_vk_buffer_write_async(dst, offset, x, ne1*nb1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); } if (nb0 == ts) { - return ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, ne1, q, std::move(wait_semaphores), std::move(signal_semaphores), s); + return ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, ne1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); } GGML_ASSERT(false); // TODO: also needs handling of staging buffers @@ -1809,28 +1862,29 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); + const bool load_x = src0->backend == GGML_BACKEND_GPU; + vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, false, ne01, ne11, ne10 == kpad); const uint32_t x_sz = ggml_vk_align_size(sizeof(float) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t y_sz = ggml_vk_align_size(sizeof(float) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment); - vk_buffer d_X; - vk_buffer d_Y; - vk_buffer d_D; - if (src0->backend == GGML_BACKEND_GPU) { - d_X = *(vk_buffer*) src0->data; - } else { - ggml_vk_pool_malloc(x_sz * ne02 * ne03, &d_X, {}); - } - ggml_vk_pool_malloc(y_sz * ne02 * ne03, &d_Y, {}); - ggml_vk_pool_malloc(d_sz * ne02 * ne03, &d_D, {}); + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; - std::vector compute_seqs; - std::vector transfer_0_seqs; - std::vector transfer_1_seqs; + GGML_ASSERT(extra->comp_seqs.empty()); - const bool load_x = src0->backend != GGML_BACKEND_GPU; + uint32_t buffer_idx = 0; + + vk_buffer* d_D = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + vk_buffer* d_X; + vk_buffer* d_Y; + if (load_x) { + d_X = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + } else { + d_X = (vk_buffer *) src0->data; + } + d_Y = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; // Allocate descriptor sets ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); @@ -1852,44 +1906,22 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr s_x = ggml_vk_create_semaphore(vk_device.compute_queue); semaphores.push_back(s_x); // Wait for previous matmul to be done before writing to the input buffers again - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x }, nullptr, &extra->memcpys)); } - ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - // Wait for previous matmul to be done before writing to the input buffers again - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y })); + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y }, nullptr, &extra->memcpys)); // compute vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); - compute_seqs.push_back(ggml_vk_matmul(*pipeline, { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(semaphores), { s_mm })); + extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(semaphores), { s_mm })); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - transfer_0_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[0], { s_mm }, {})); - - ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[1], { s_mm }, {})); } } - - ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - - vk_device.transfer_queues[0].queue.waitIdle(); - - ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); - ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); - ggml_vk_queue_cleanup(vk_device.compute_queue); - - ggml_vk_pipeline_cleanup(*pipeline); - ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); - - if (src0->backend != GGML_BACKEND_GPU) { - ggml_vk_pool_free(d_X); - } - ggml_vk_pool_free(d_Y); - ggml_vk_pool_free(d_D); } static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { @@ -1937,45 +1969,50 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const uint32_t y_sz = ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment); - vk_buffer d_Qx; + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; + + GGML_ASSERT(extra->comp_seqs.empty()); + + uint32_t buffer_idx = 0; + + vk_buffer* d_D = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + GGML_ASSERT(d_D->size >= d_sz); + vk_buffer* d_Qx; + vk_buffer* d_Qy; + vk_buffer* d_X; + vk_buffer* d_Y; if (load_x) { - ggml_vk_pool_malloc(qx_sz * ne02 * ne03, &d_Qx, {}); + d_Qx = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + GGML_ASSERT(d_Qx->size >= qx_sz); } else { - d_Qx = *(vk_buffer *) src0->data; + d_Qx = (vk_buffer *) src0->data; } - vk_buffer d_Qy; if (load_y) { - ggml_vk_pool_malloc(qy_sz * ne02 * ne03, &d_Qy, {}); + d_Qy = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + GGML_ASSERT(d_Qy->size >= qy_sz); } else { - d_Qy = *(vk_buffer *) src1->data; + d_Qy = (vk_buffer *) src1->data; } - vk_buffer d_X; - vk_buffer d_Y; - vk_buffer d_D; if (qx_needs_dequant) { - ggml_vk_pool_malloc(x_sz * ne02 * ne03, &d_X, {}); + d_X = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + GGML_ASSERT(d_X->size >= x_sz); } else { d_X = d_Qx; GGML_ASSERT(qx_sz == x_sz); // NOLINT } if (qy_needs_dequant) { - ggml_vk_pool_malloc(y_sz * ne02 * ne03, &d_Y, {}); + d_Y = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + GGML_ASSERT(d_Y->size >= y_sz); } else { d_Y = d_Qy; GGML_ASSERT(qy_sz == y_sz); } - ggml_vk_pool_malloc(d_sz * ne02 * ne03, &d_D, {}); vk_pipeline* to_fp16_vk_0 = ggml_vk_get_to_fp16(src0->type); vk_pipeline* to_fp16_vk_1 = ggml_vk_get_to_fp16(src1->type); GGML_ASSERT(!qx_needs_dequant || to_fp16_vk_0 != nullptr); // NOLINT GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr); // NOLINT - std::vector compute_seqs; - std::vector transfer_0_seqs; - std::vector transfer_1_seqs; - std::vector transfer_2_seqs; - // Allocate descriptor sets ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); if (qx_needs_dequant) { @@ -1988,8 +2025,6 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne02 * ne03); } - int submit_counter = 0; - for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { const uint32_t it_idx = (i03 * ne02 + i02); @@ -2008,8 +2043,6 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * std::vector q_semaphores; std::vector mm_semaphores; - submit_counter++; - if (load_x) { s_x = ggml_vk_create_semaphore(tr0q); if (qx_needs_dequant) { @@ -2017,10 +2050,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } else { mm_semaphores.push_back(s_x); } - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qx, qx_offset, src0, i03, i02, tr0q, {}, { s_x })); - } - if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(tr0q, transfer_0_seqs, VK_NULL_HANDLE); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, tr0q, {}, { s_x }, nullptr, &extra->memcpys)); } if (load_y) { s_y = ggml_vk_create_semaphore(tr1q); @@ -2029,10 +2059,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } else { mm_semaphores.push_back(s_y); } - transfer_1_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Qy, qy_offset, src1, i03, i02, tr1q, {}, { s_y })); - } - if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(tr1q, transfer_1_seqs, VK_NULL_HANDLE); + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i03, i02, tr1q, {}, { s_y }, nullptr, &extra->memcpys)); } if (dq) { @@ -2040,74 +2067,31 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * vk_submission s = ggml_vk_begin_submission(compq); if (qx_needs_dequant) { const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { { d_Qx, qx_offset, qx_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { { d_X, x_offset, x_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *to_fp16_vk_0, { { d_Qx, qx_offset, qx_sz }, { d_X, x_offset, x_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); + ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_offset, qx_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *to_fp16_vk_0, { { *d_Qx, qx_offset, qx_sz }, { *d_X, x_offset, x_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); } if (qy_needs_dequant) { const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { { d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { { d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *to_fp16_vk_1, { { d_Qy, qy_offset, qy_sz }, { d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); + ggml_vk_sync_buffers(s.buffer, { { *d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { { *d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *to_fp16_vk_1, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); } ggml_vk_end_submission(s, std::move(q_semaphores), { s_q }); - compute_seqs.push_back({ s }); + extra->comp_seqs.push_back({ s }); mm_semaphores.push_back(s_q); } // compute - compute_seqs.push_back(ggml_vk_matmul(*pipeline, { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, compq, std::move(mm_semaphores), { s_mm })); - - if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(compq, compute_seqs, VK_NULL_HANDLE); - } + extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, compq, std::move(mm_semaphores), { s_mm })); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - transfer_2_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, tr0q, { s_mm }, {})); - - if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(tr0q, transfer_2_seqs, VK_NULL_HANDLE); - submit_counter = 0; - } + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, tr1q, { s_mm }, {})); } } - - ggml_vk_submit(tr0q, transfer_0_seqs, VK_NULL_HANDLE); - ggml_vk_submit(tr1q, transfer_1_seqs, VK_NULL_HANDLE); - ggml_vk_submit(compq, compute_seqs, VK_NULL_HANDLE); - ggml_vk_submit(tr0q, transfer_2_seqs, VK_NULL_HANDLE); - - tr0q.queue.waitIdle(); - - ggml_vk_queue_cleanup(tr0q); - ggml_vk_queue_cleanup(tr1q); - ggml_vk_queue_cleanup(compq); - - ggml_vk_pipeline_cleanup(*pipeline); - if (qx_needs_dequant) { - ggml_vk_pipeline_cleanup(*to_fp16_vk_0); - } - if (qy_needs_dequant) { - ggml_vk_pipeline_cleanup(*to_fp16_vk_1); - } - ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); - - if (qx_needs_dequant) { - ggml_vk_pool_free(d_X); - } - if (qy_needs_dequant) { - ggml_vk_pool_free(d_Y); - } - ggml_vk_pool_free(d_D); - if (load_x) { - ggml_vk_pool_free(d_Qx); - } - if (load_y) { - ggml_vk_pool_free(d_Qy); - } } static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { @@ -2146,44 +2130,44 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const uint32_t y_sz = ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - vk_buffer d_Qx; + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; + + GGML_ASSERT(extra->comp_seqs.empty()); + + uint32_t buffer_idx = 0; + + vk_buffer* d_D = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + vk_buffer* d_Qx; + vk_buffer* d_Qy; + vk_buffer* d_Y; if (load_x) { - ggml_vk_pool_malloc(qx_sz * ne02 * ne03, &d_Qx, {}); + d_Qx = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; } else { - d_Qx = *(vk_buffer *) src0->data; + d_Qx = (vk_buffer *) src0->data; } - vk_buffer d_Qy; if (load_y) { - ggml_vk_pool_malloc(qy_sz * ne02 * ne03, &d_Qy, {}); + d_Qy = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; } else { - d_Qy = *(vk_buffer *) src1->data; + d_Qy = (vk_buffer *) src1->data; } - vk_buffer d_X; - vk_buffer d_Y; - vk_buffer d_D; if (qy_needs_dequant) { - ggml_vk_pool_malloc(y_sz * ne02 * ne03, &d_Y, {}); + d_Y = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; } else { d_Y = d_Qy; GGML_ASSERT(qy_sz == y_sz); } - ggml_vk_pool_malloc(d_sz * ne02 * ne03, &d_D, {}); vk_pipeline* to_fp16_vk_1 = ggml_vk_get_to_fp16(src1->type); vk_pipeline* dmmv = ggml_vk_get_dequantize_mul_mat_vec(src0->type, !f16_f32_kernel); GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr); // NOLINT GGML_ASSERT(dmmv != nullptr); - std::vector seqs; - // Allocate descriptor sets if (qy_needs_dequant) { ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_1, ne02 * ne03); } ggml_vk_pipeline_allocate_descriptor_sets(*dmmv, ne02 * ne03); - int submit_counter = 0; - for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { const uint32_t it_idx = (i03 * ne02 + i02); @@ -2192,67 +2176,38 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const uint32_t y_offset = y_sz * it_idx; const uint32_t d_offset = d_sz * it_idx; - submit_counter++; - vk_submission s = ggml_vk_begin_submission(compq); if (load_x) { - ggml_vk_h2d_tensor_2d(&d_Qx, qx_offset, src0, i03, i02, compq, {}, {}, &s); + ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, compq, {}, {}, &s, &extra->memcpys); } if (load_y) { - ggml_vk_h2d_tensor_2d(&d_Qy, qy_offset, src1, i03, i02, compq, {}, {}, &s); + ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i03, i02, compq, {}, {}, &s, &extra->memcpys); } if (qy_needs_dequant) { const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { { d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - ggml_vk_sync_buffers(s.buffer, { { d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *to_fp16_vk_1, { { d_Qy, qy_offset, qy_sz }, { d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); + ggml_vk_sync_buffers(s.buffer, { { *d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(s.buffer, { { *d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *to_fp16_vk_1, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); } // compute const int ncols = ne00; - ggml_vk_sync_buffers(s.buffer, { { d_Qx, qx_offset, qx_sz }, { d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - ggml_vk_sync_buffers(s.buffer, { { d_D, d_offset, d_sz } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *dmmv, { { d_Qx, qx_offset, qx_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz } }, sizeof(int), &ncols, { (uint32_t)ne01, 1, 1}); + ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_offset, qx_sz }, { *d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(s.buffer, { { *d_D, d_offset, d_sz } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *dmmv, { { *d_Qx, qx_offset, qx_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz } }, sizeof(int), &ncols, { (uint32_t)ne01, 1, 1}); // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_sync_buffers(s.buffer, { { d_D, d_offset, d_sz } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); - ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * d_ne, compq, {}, {}, &s); + ggml_vk_sync_buffers(s.buffer, { { *d_D, d_offset, d_sz } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); + ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, compq, {}, {}, &s); ggml_vk_end_submission(s, {}, {}); - seqs.push_back({ s }); - - if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(compq, seqs, VK_NULL_HANDLE); - submit_counter = 0; - } + extra->comp_seqs.push_back({ s }); } } - - ggml_vk_submit(compq, seqs, VK_NULL_HANDLE); - - compq.queue.waitIdle(); - - ggml_vk_queue_cleanup(compq); - - if (qy_needs_dequant) { - ggml_vk_pipeline_cleanup(*to_fp16_vk_1); - } - ggml_vk_pipeline_cleanup(*dmmv); - - if (qy_needs_dequant) { - ggml_vk_pool_free(d_Y); - } - ggml_vk_pool_free(d_D); - if (load_x) { - ggml_vk_pool_free(d_Qx); - } - if (load_y) { - ggml_vk_pool_free(d_Qy); - } } static bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { @@ -2318,13 +2273,15 @@ static vk_pipeline* ggml_vk_op_get_pipeline(const ggml_tensor * src0, const ggml } } -static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, float scale=0.0f) { +static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, float scale=1.0f) { #ifdef VK_DEBUG std::cerr << "ggml_vk_op_f32((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "), " << ggml_op_name(op) << ")" << std::endl; #endif + GGML_ASSERT(src0->data != nullptr && src1->data != nullptr && dst->data != nullptr); // NOLINT GGML_ASSERT(!ggml_is_quantized(src0->type) && !ggml_is_quantized(src1->type)); // NOLINT + GGML_ASSERT(dst->extra != nullptr); const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; const int64_t ne02 = src0->ne[2]; @@ -2354,140 +2311,76 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g const uint32_t y_sz = use_src1 ? ggml_vk_align_size(ggml_type_size(src1->type) * ne1, vk_device.properties.limits.minStorageBufferOffsetAlignment) : 0; const uint32_t d_sz = ggml_vk_align_size(ggml_type_size(dst->type) * ne0, vk_device.properties.limits.minStorageBufferOffsetAlignment); - vk_buffer d_X; - vk_buffer d_Y; - vk_buffer d_D; + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; + + GGML_ASSERT(extra->comp_seqs.empty()); + + uint32_t buffer_idx = 0; + + vk_buffer* d_D = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + vk_buffer* d_X; + vk_buffer* d_Y; if (transfer_src0) { - ggml_vk_pool_malloc(x_sz * ne02 * ne03, &d_X, {}); + d_X = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; } else { - d_X = *(vk_buffer*) src0->data; + d_X = (vk_buffer *) src0->data; } if (transfer_src1) { - ggml_vk_pool_malloc(y_sz * ne02 * ne03, &d_Y, {}); + d_Y = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx]]; } else if (use_src1) { - d_Y = *(vk_buffer*) src1->data; + d_Y = (vk_buffer *) src1->data; } - ggml_vk_pool_malloc(d_sz * ne02 * ne03, &d_D, {}); - - std::vector compute_seqs; - std::vector transfer_0_seqs; - std::vector transfer_1_seqs; // Allocate descriptor sets ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); - int submit_counter = 0; - vk_op_push_constants pc = { (int)ne00, (int)ne01, (int)ne00, (int)ne00, (int)ne00, 0, 0, 0, scale }; for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { const uint32_t it_idx = (i03 * ne02 + i02); - submit_counter++; - if (ne03 > 1 || ne02 > 1) { - const uint32_t x_offset = transfer_src0 ? x_sz * (i03 * ne02 + i02) : 0; - const uint32_t y_offset = transfer_src1 ? y_sz * (i03 * ne02 + i02) : 0; - const uint32_t d_offset = d_sz * (i03 * ne02 + i02); - - vk::Semaphore s_x; - vk::Semaphore s_y; - vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); - std::vector transfer_semaphores; - // copy src0 to device - if (transfer_src0) { - s_x = ggml_vk_create_semaphore(vk_device.transfer_queues[0]); - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x })); - transfer_semaphores.push_back(s_x); - } - if (transfer_src1) { - s_y = ggml_vk_create_semaphore(vk_device.transfer_queues[1]); - transfer_0_seqs.push_back(ggml_vk_h2d_tensor_2d(&d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y })); - transfer_semaphores.push_back(s_y); - } - if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(vk_device.transfer_queues[0], transfer_0_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); - } - - const int64_t i13 = i03%ne13; - const int64_t i12 = i02%ne12; - pc.y_offset = (i13*ne12*ne11 + i12*ne11) * ne10; + const uint32_t x_offset = transfer_src0 ? x_sz * it_idx : 0; + const uint32_t y_offset = transfer_src1 ? y_sz * it_idx : 0; + const uint32_t d_offset = d_sz * it_idx; - vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - if (use_src1) { - ggml_vk_dispatch_pipeline(s, *pipeline, { { d_X, x_offset, x_sz }, { d_Y, y_offset, y_sz }, { d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); - } else { - ggml_vk_dispatch_pipeline(s, *pipeline, { { d_X, x_offset, x_sz }, { d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); - } - ggml_vk_end_submission(s, { s_x }, { s_mm }); - compute_seqs.push_back({ s }); + vk::Semaphore s_x; + vk::Semaphore s_y; + vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); + std::vector transfer_semaphores; + // copy src0 to device + if (transfer_src0) { + s_x = ggml_vk_create_semaphore(vk_device.transfer_queues[0]); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x }, nullptr, &extra->memcpys)); + transfer_semaphores.push_back(s_x); + } + if (transfer_src1) { + s_y = ggml_vk_create_semaphore(vk_device.transfer_queues[1]); + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y }, nullptr, &extra->memcpys)); + transfer_semaphores.push_back(s_y); + } - // copy dst to host - float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - transfer_1_seqs.push_back(ggml_vk_buffer_read_async(&d_D, d_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { s_mm }, {})); + const int64_t i13 = i03%ne13; + const int64_t i12 = i02%ne12; + pc.y_offset = (i13*ne12*ne11 + i12*ne11) * ne10; - if (it_idx == 0 || submit_counter >= VK_SUBMIT_BATCH) { - ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.transfer_queues[1], transfer_1_seqs, VK_NULL_HANDLE); - submit_counter = 0; - } + vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); + if (use_src1) { + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_X), ggml_vk_subbuffer(*d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); } else { - // Reduce overhead by only using one command buffer - - vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); - // copy src0 to device - if (transfer_src0 && transfer_src1) { - ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_device.compute_queue, {}, {}, &s); - ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_device.compute_queue, {}, {}, &s); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - } else if (transfer_src0) { - ggml_vk_h2d_tensor_2d(&d_X, 0, src0, i03, i02, vk_device.compute_queue, {}, {}, &s); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_X) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - } - if (transfer_src1) { - ggml_vk_h2d_tensor_2d(&d_Y, 0, src1, i03, i02, vk_device.compute_queue, {}, {}, &s); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - } - - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - if (use_src1) { - ggml_vk_dispatch_pipeline(s, *pipeline, { { d_X, 0, x_sz }, { d_Y, 0, y_sz }, { d_D, 0, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); - } else { - ggml_vk_dispatch_pipeline(s, *pipeline, { { d_X, 0, x_sz }, { d_D, 0, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); - } - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); - - // copy dst to host - float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - ggml_vk_buffer_read_async(&d_D, 0, d, sizeof(float) * ne00 * ne01, vk_device.compute_queue, {}, {}, &s); - ggml_vk_end_submission(s, {}, {}); - - compute_seqs.push_back({ s }); - - ggml_vk_submit(vk_device.compute_queue, compute_seqs, VK_NULL_HANDLE); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_X) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); } - } - } + ggml_vk_end_submission(s, { s_x }, { s_mm }); + extra->comp_seqs.push_back({ s }); - if (ne03 > 1 || ne02 > 1) { - vk_device.transfer_queues[1].queue.waitIdle(); - - ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); - ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); - ggml_vk_queue_cleanup(vk_device.compute_queue); - } else { - vk_device.compute_queue.queue.waitIdle(); - - ggml_vk_queue_cleanup(vk_device.compute_queue); + // copy dst to host + float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { s_mm }, {})); + } } - - ggml_vk_pipeline_cleanup(*pipeline); - - ggml_vk_pool_free(d_X); - ggml_vk_pool_free(d_D); } static void ggml_vk_add(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { @@ -2532,43 +2425,252 @@ void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); } -bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor){ - ggml_vk_func_t func; - const bool any_on_device = tensor->backend == GGML_BACKEND_GPU - || (tensor->src[0] != nullptr && (tensor->src[0]->backend == GGML_BACKEND_GPU || tensor->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) - || (tensor->src[1] != nullptr && tensor->src[1]->backend == GGML_BACKEND_GPU); +void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ +#ifdef VK_DEBUG + std::cerr << "ggml_vk_preallocate_buffers_graph(" << node << ")" << std::endl; +#endif + node->extra = nullptr; - switch (tensor->op) { - case GGML_OP_ADD: + const bool any_on_device = node->backend == GGML_BACKEND_GPU + || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) + || (node->src[1] != nullptr && node->src[1]->backend == GGML_BACKEND_GPU); + + const ggml_tensor * src0 = node->src[0]; + const ggml_tensor * src1 = node->src[1]; + + const bool use_src0 = src0 != nullptr; + const int64_t ne00 = use_src0 ? src0->ne[0] : 0; + const int64_t ne01 = use_src0 ? src0->ne[1] : 0; + const int64_t ne02 = use_src0 ? src0->ne[2] : 0; + const int64_t ne03 = use_src0 ? src0->ne[3] : 0; + const int64_t ne0 = ne00 * ne01 * ne02 * ne03; + const bool use_src1 = src1 != nullptr; + const int64_t ne10 = use_src1 ? src1->ne[0] : 0; + const int64_t ne11 = use_src1 ? src1->ne[1] : 0; + const int64_t ne12 = use_src1 ? src1->ne[2] : 0; + const int64_t ne13 = use_src1 ? src1->ne[3] : 0; + const int64_t ne1 = ne10 * ne11 * ne12 * ne13; + const int64_t ne20 = node->ne[0]; + const int64_t ne21 = node->ne[1]; + const int64_t ne22 = node->ne[2]; + const int64_t ne23 = node->ne[3]; + const int64_t ne2 = ne20 * ne21 * ne22 * ne23; + + const bool transfer_src0 = use_src0 && src0->backend != GGML_BACKEND_GPU; + const bool transfer_src1 = use_src1 && src1->backend != GGML_BACKEND_GPU; + + const bool qvec_kernel = use_src0 && use_src1 && src1->ne[1] == 1 && (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)); + const bool qx_needs_dequant = use_src0 && !qvec_kernel && src0->type != GGML_TYPE_F16; + const bool f16_f32_kernel = use_src1 && src1->type == GGML_TYPE_F32; + const bool qy_needs_dequant = use_src1 && src1->type != GGML_TYPE_F16 && !f16_f32_kernel; + const bool dq = qx_needs_dequant || qy_needs_dequant; + + const int split_k = node->op == GGML_OP_MUL_MAT ? ggml_vk_guess_split_k(ne01, ne11, ne10) : 1; + const uint32_t x_ne = ne00 * ne01; + const uint32_t y_ne = ne10 * ne11; + const uint32_t d_ne = ne20 * ne21; + + const uint32_t qx_sz = use_src0 ? ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne02 * ne03 : 0; + const uint32_t qy_sz = use_src1 ? ggml_vk_align_size(ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type), vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne12 * ne13 : 0; + const uint32_t x_sz = use_src0 ? ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne02 * ne03 : 0; + const uint32_t y_sz = use_src1 ? ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne12 * ne13 : 0; + const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne22 * ne23; + + ggml_vk_tensor_extra_gpu * extra; + + uint32_t idx = 0; + + switch (node->op) { + case GGML_OP_MUL: if (!any_on_device) { - return false; + return; } - func = ggml_vk_add; + extra = new ggml_vk_tensor_extra_gpu; + extra->buffer_idx.push_back(idx); + // Check if buffer already exists, increase size if required + if (idx >= vk_preallocated_buffer_sizes.size()) { + vk_preallocated_buffer_sizes.push_back(d_sz); + } else if (vk_preallocated_buffer_sizes[idx] < d_sz) { + vk_preallocated_buffer_sizes[idx] = d_sz; + } + idx++; + if (transfer_src0) { + extra->buffer_idx.push_back(idx); + if (idx >= vk_preallocated_buffer_sizes.size()) { + vk_preallocated_buffer_sizes.push_back(qx_sz); + } else if (vk_preallocated_buffer_sizes[idx] < qx_sz) { + vk_preallocated_buffer_sizes[idx] = qx_sz; + } + idx++; + } + if (transfer_src1) { + extra->buffer_idx.push_back(idx); + if (idx >= vk_preallocated_buffer_sizes.size()) { + vk_preallocated_buffer_sizes.push_back(qy_sz); + } else if (vk_preallocated_buffer_sizes[idx] < qy_sz) { + vk_preallocated_buffer_sizes[idx] = qy_sz; + } + } + node->extra = extra; + vk_gc.extras.push_back(extra); + break; + case GGML_OP_MUL_MAT: + if (!any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { + return; + } + extra = new ggml_vk_tensor_extra_gpu; + extra->buffer_idx.push_back(idx); + if (idx >= vk_preallocated_buffer_sizes.size()) { + vk_preallocated_buffer_sizes.push_back(d_sz); + } else if (vk_preallocated_buffer_sizes[idx] < d_sz) { + vk_preallocated_buffer_sizes[idx] = d_sz; + } + idx++; + if (transfer_src0) { + extra->buffer_idx.push_back(idx); + if (idx >= vk_preallocated_buffer_sizes.size()) { + vk_preallocated_buffer_sizes.push_back(qx_sz); + } else if (vk_preallocated_buffer_sizes[idx] < qx_sz) { + vk_preallocated_buffer_sizes[idx] = qx_sz; + } + idx++; + } + if (transfer_src1) { + extra->buffer_idx.push_back(idx); + if (idx >= vk_preallocated_buffer_sizes.size()) { + vk_preallocated_buffer_sizes.push_back(qy_sz); + } else if (vk_preallocated_buffer_sizes[idx] < qy_sz) { + vk_preallocated_buffer_sizes[idx] = qy_sz; + } + idx++; + } + if (qx_needs_dequant) { + extra->buffer_idx.push_back(idx); + if (idx >= vk_preallocated_buffer_sizes.size()) { + vk_preallocated_buffer_sizes.push_back(x_sz); + } else if (vk_preallocated_buffer_sizes[idx] < x_sz) { + vk_preallocated_buffer_sizes[idx] = x_sz; + } + idx++; + } + if (qy_needs_dequant) { + extra->buffer_idx.push_back(idx); + if (idx >= vk_preallocated_buffer_sizes.size()) { + vk_preallocated_buffer_sizes.push_back(y_sz); + } else if (vk_preallocated_buffer_sizes[idx] < y_sz) { + vk_preallocated_buffer_sizes[idx] = y_sz; + } + idx++; + } + node->extra = extra; + vk_gc.extras.push_back(extra); + + break; + default: break; + } +} + +void ggml_vk_preallocate_buffers() { + for (size_t i = 0; i < vk_preallocated_buffer_sizes.size(); i++) { + if (i >= vk_preallocated_buffers.size()) { + vk_preallocated_buffers.push_back(ggml_vk_create_buffer(vk_preallocated_buffer_sizes[i], vk::MemoryPropertyFlagBits::eDeviceLocal)); + } else if (vk_preallocated_buffers[i].size < vk_preallocated_buffer_sizes[i]) { + // Resize buffer + ggml_vk_destroy_buffer(vk_preallocated_buffers[i]); + vk_preallocated_buffers[i] = ggml_vk_create_buffer(vk_preallocated_buffer_sizes[i], vk::MemoryPropertyFlagBits::eDeviceLocal); + } + } +} + +void ggml_vk_build_graph(ggml_tensor * node){ +#ifdef VK_DEBUG + std::cerr << "ggml_vk_build_graph(" << node << ")" << std::endl; +#endif + ggml_vk_func_t func; + const bool any_on_device = node->backend == GGML_BACKEND_GPU + || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) + || (node->src[1] != nullptr && node->src[1]->backend == GGML_BACKEND_GPU); + + switch (node->op) { + // case GGML_OP_ADD: + // if (!any_on_device) { + // return false; + // } + + // func = ggml_vk_add; + + // break; case GGML_OP_MUL: if (!any_on_device) { - return false; + return; } - func = ggml_vk_mul; + ggml_vk_mul(node->src[0], node->src[1], node); break; - case GGML_OP_SCALE: + // case GGML_OP_SCALE: + // if (!any_on_device) { + // return false; + // } + + // func = ggml_vk_scale; + + // break; + case GGML_OP_MUL_MAT: + if (!any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { + return; + } + + ggml_vk_mul_mat(node->src[0], node->src[1], node); + + break; + default: + return; + } +} + +bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor){ + ggml_vk_func_t func = nullptr; + const bool any_on_device = tensor->backend == GGML_BACKEND_GPU + || (tensor->src[0] != nullptr && (tensor->src[0]->backend == GGML_BACKEND_GPU || tensor->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) + || (tensor->src[1] != nullptr && tensor->src[1]->backend == GGML_BACKEND_GPU); + + ggml_vk_tensor_extra_gpu * extra = nullptr; + + switch (tensor->op) { + // case GGML_OP_ADD: + // if (!any_on_device) { + // return false; + // } + + // func = ggml_vk_add; + + // break; + case GGML_OP_MUL: if (!any_on_device) { return false; } - func = ggml_vk_scale; + extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; break; + // case GGML_OP_SCALE: + // if (!any_on_device) { + // return false; + // } + + // func = ggml_vk_scale; + + // break; case GGML_OP_MUL_MAT: if (!any_on_device && !ggml_vk_can_mul_mat(tensor->src[0], tensor->src[1], tensor)) { return false; } - func = ggml_vk_mul_mat; + extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; break; default: @@ -2582,11 +2684,46 @@ bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_te return true; } - func(tensor->src[0], tensor->src[1], tensor); + GGML_ASSERT(extra); + + // Do staging buffer copies + for (auto& cpy : extra->memcpys) { + memcpy(cpy.dst, cpy.src, cpy.n); + } + ggml_vk_submit(vk_device.transfer_queues[0], extra->in0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[1], extra->in1_seqs, VK_NULL_HANDLE); + if (extra->out_seqs.empty()) { + ggml_vk_submit(vk_device.compute_queue, extra->comp_seqs, vk_fence); + } else { + ggml_vk_submit(vk_device.compute_queue, extra->comp_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[1], extra->out_seqs, vk_fence); + } + + vk::resultCheck(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "ggml_vk_compute_forward waitForFences"); + vk_device.device.resetFences({ vk_fence }); return true; } +void ggml_vk_graph_cleanup() { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_graph_cleanup()" << std::endl; +#endif + for (auto * pipeline : vk_gc.pipelines) { + ggml_vk_pipeline_cleanup(*pipeline); + } + + ggml_vk_queue_cleanup(vk_device.compute_queue); + ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); + ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + + for (auto * extra : vk_gc.extras) { + delete extra; + } + + vk_gc.extras.clear(); +} + #ifdef VK_CHK_KERNEL void ggml_vk_test_transfer(size_t ne) { #ifdef VK_DEBUG diff --git a/ggml-vulkan.h b/ggml-vulkan.h index 79baea6de85d4..e252141079fb7 100644 --- a/ggml-vulkan.h +++ b/ggml-vulkan.h @@ -8,7 +8,11 @@ extern "C" { void ggml_vk_init(void); +void ggml_vk_preallocate_buffers_graph(struct ggml_tensor * node); +void ggml_vk_preallocate_buffers(void); +void ggml_vk_build_graph(struct ggml_tensor * node); bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor); +void ggml_vk_graph_cleanup(void); void * ggml_vk_host_malloc(size_t size); void ggml_vk_host_free(void * ptr); diff --git a/ggml.c b/ggml.c index de4690f51cfd8..2082e1878a014 100644 --- a/ggml.c +++ b/ggml.c @@ -14817,7 +14817,7 @@ static void ggml_compute_forward(struct ggml_compute_params * params, struct ggm GGML_ASSERT(tensor->src[0] == NULL || tensor->src[0]->backend == GGML_BACKEND_CPU); GGML_ASSERT(tensor->src[1] == NULL || tensor->src[1]->backend == GGML_BACKEND_CPU); #elif defined(GGML_USE_VULKAN) - bool skip_cpu = ggml_vk_compute_forward(params, tensor); + const bool skip_cpu = ggml_vk_compute_forward(params, tensor); if (skip_cpu) { return; } diff --git a/llama.cpp b/llama.cpp index 246a995475aae..73a6d61b0be8f 100644 --- a/llama.cpp +++ b/llama.cpp @@ -110,7 +110,22 @@ static void ggml_graph_compute_helper(std::vector & buf, ggml_cgraph * plan.work_data = buf.data(); } +#ifdef GGML_USE_VULKAN + for (int i = 0; i < graph->n_nodes; i++) { + ggml_vk_preallocate_buffers_graph(graph->nodes[i]); + } + ggml_vk_preallocate_buffers(); + + for (int i = 0; i < graph->n_nodes; i++) { + ggml_vk_build_graph(graph->nodes[i]); + } +#endif + ggml_graph_compute(graph, &plan); + +#ifdef GGML_USE_VULKAN + ggml_vk_graph_cleanup(); +#endif } // From 42bfa889a6793d18db3dc20722f0e2577e7d8248 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 29 Sep 2023 23:12:34 +0200 Subject: [PATCH 079/142] Add q6_k support --- ggml-vulkan-shaders.hpp | 134 ++++++++++++++++++++++++++++++++++++++++ ggml-vulkan.cpp | 41 ++++++++++-- 2 files changed, 169 insertions(+), 6 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index cf52927b34d02..0ce57f30c90b6 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -85,6 +85,20 @@ struct block_q8_0 #define A_TYPE block_q8_0 )"; +const std::string shader_q6_K_defines = R"( +#define QUANT_K 256 + +struct block_q6_K +{ + uint8_t ql[QUANT_K/2]; + uint8_t qh[QUANT_K/4]; + int8_t scales[QUANT_K/16]; + float16_t d; +}; + +#define A_TYPE block_q6_K +)"; + // Dequant functions const std::string shader_f16_dequant_func = R"( #define DEQUANT_FUNC f16vec2 v = f16vec2(x[ib + 0], x[ib + 1]); @@ -438,6 +452,42 @@ void main() { } )"; +// K-quants +const std::string dequant_q6_K_body = R"( +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { A_TYPE x[]; }; +layout (binding = 1) writeonly buffer D { D_TYPE y[]; }; + +layout (push_constant) uniform parameter +{ + int M; + int K; + int stride_a; + int stride_b; +} p; + +void main() { + const int i = int(gl_WorkGroupID.x); + const int tid = int(gl_LocalInvocationID.x); + const int ip = tid / 32; + const int il = tid - 32 * ip; + const int is = 8 * ip + il / 16; + + const int y_idx = i * QUANT_K + 128 * ip + il; + + const int ql_idx = 64 * ip + il; + const uint8_t qh = x[i].qh[32 * ip + il]; + + const FLOAT_TYPE d = FLOAT_TYPE(x[i].d); + + y[y_idx + 0] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 0] * (int8_t((x[i].ql[ql_idx + 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32))); + y[y_idx + 32] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 2] * (int8_t((x[i].ql[ql_idx + 32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32))); + y[y_idx + 64] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 4] * (int8_t((x[i].ql[ql_idx + 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32))); + y[y_idx + 96] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 6] * (int8_t((x[i].ql[ql_idx + 32] >> 4) | (((qh >> 6) & 3) << 4)) - 32))); +} +)"; + // Mul Mat Vec const std::string mul_mat_vec_head = R"( #version 450 @@ -497,6 +547,90 @@ void main() { } )"; +const std::string mul_mat_vec_q6_K_body = R"( +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A { A_TYPE x[]; }; +layout (binding = 1) readonly buffer B { B_TYPE y[]; }; +layout (binding = 2) writeonly buffer D { D_TYPE dst[]; }; + +layout (push_constant) uniform parameter +{ + int ncols; +} p; + +shared FLOAT_TYPE tmp[32]; + +void main() { + const int row = int(gl_WorkGroupID.x); + + const int num_blocks_per_row = p.ncols / QUANT_K; + const int ib0 = row*num_blocks_per_row; + + const int tid = int(gl_LocalInvocationID.x)/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 + const int ix = int(gl_LocalInvocationID.x)%K_QUANTS_PER_ITERATION; // 0 or 0, 1 + + const int step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 + + const int v_im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... + const int v_in = tid - step*v_im; // 0...15 or 0...7 + +#if K_QUANTS_PER_ITERATION == 1 + const int l0 = K_QUANTS_PER_ITERATION*v_in; // 0...15 + const int is = 0; +#else + const int l0 = 4 * v_in; // 0, 4, 8, ..., 28 + const int is = in / 4; +#endif + + const int ql_offset = 64*v_im + l0; + const int qh_offset = 32*v_im + l0; + const int s_offset = 8*v_im + is; + const int y_offset = 128*v_im + l0; + + tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp + + for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + const int y_idx = i * QUANT_K + y_offset; + + const FLOAT_TYPE d = x[ib0 + i].d; + +#if K_QUANTS_PER_ITERATION == 1 + FLOAT_TYPE sum = FLOAT_TYPE(y[y_idx + 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 0] & 0xF) | ((x[ib0 + i].qh[qh_offset + 0] & 0x03) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + 16]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 16] & 0xF) | ((x[ib0 + i].qh[qh_offset + 16] & 0x03) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + 32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 32] & 0xF) | ((x[ib0 + i].qh[qh_offset + 0] & 0x0c) << 2)) - 32) + + FLOAT_TYPE(y[y_idx + 48]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 48] & 0xF) | ((x[ib0 + i].qh[qh_offset + 16] & 0x0c) << 2)) - 32) + + FLOAT_TYPE(y[y_idx + 64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 0] >> 4) | ((x[ib0 + i].qh[qh_offset + 0] & 0x30) >> 0)) - 32) + + FLOAT_TYPE(y[y_idx + 80]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 16] >> 4) | ((x[ib0 + i].qh[qh_offset + 16] & 0x30) >> 0)) - 32) + + FLOAT_TYPE(y[y_idx + 96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 32] >> 4) | ((x[ib0 + i].qh[qh_offset + 0] & 0xc0) >> 2)) - 32) + + FLOAT_TYPE(y[y_idx +112]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 48] >> 4) | ((x[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32); + tmp[16 * ix + tid] += sum; +#else + FLOAT_TYPE sum = 0; + for (int l = 0; l < 4; ++l) { + sum += FLOAT_TYPE(y[y_idx + l+ 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + l+32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + l+64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + l+96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32); + } + tmp[16 * ix + tid] += sum; +#endif + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = 16; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + dst[row] = D_TYPE(tmp[0]); + } +} +)"; + // F16 to F32 const std::string f32_to_f16_src = R"( #version 450 diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index cf42fa7682b96..19b3dd397ee92 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -54,6 +54,12 @@ #define VK_NUM_TYPES 16 +#ifndef K_QUANTS_PER_ITERATION +#define K_QUANTS_PER_ITERATION 1 +#else +static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUANTS_PER_ITERATION must be 1 or 2"); +#endif + typedef void (*ggml_vk_func_t)(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst); struct vk_buffer { @@ -714,6 +720,9 @@ static inline bool ggml_vk_build_shader_type_defines(std::stringstream& stream, case GGML_TYPE_Q8_0: stream << shader_q8_0_defines << (compat ? shader_q8_0_dequant_func_compat : shader_q8_0_dequant_func); return true; + case GGML_TYPE_Q6_K: + stream << shader_q6_K_defines; + return true; default: return false; } @@ -789,9 +798,20 @@ static void ggml_vk_generate_shaders() { continue; } - stream << dequant_body; + int work_group_denom; - vk_pipeline_dequant[i] = ggml_vk_create_pipeline_from_string("dequant_" + std::string(ggml_type_name((ggml_type)i)), stream.str(), { "D_TYPE", "float16_t" }, "main", 2, 4 * sizeof(int), {256*32, 1, 1}, {}, 1); + switch ((ggml_type)i) { + case GGML_TYPE_Q6_K: + stream << dequant_q6_K_body; + work_group_denom = 64 * 4; + break; + default: + stream << dequant_body; + work_group_denom = 256 * 32; + break; + } + + vk_pipeline_dequant[i] = ggml_vk_create_pipeline_from_string("dequant_" + std::string(ggml_type_name((ggml_type)i)), stream.str(), { "D_TYPE", "float16_t" }, "main", 2, 4 * sizeof(int), {work_group_denom, 1, 1}, {}, 1); } // mul mat vec @@ -808,10 +828,17 @@ static void ggml_vk_generate_shaders() { continue; } - stream << mul_mat_vec_body; + switch ((ggml_type)i) { + case GGML_TYPE_Q6_K: + stream << mul_mat_vec_q6_K_body; + break; + default: + stream << mul_mat_vec_body; + break; + } - vk_pipeline_dequant_mul_mat_vec[i] = ggml_vk_create_pipeline_from_string("mul_mat_vec_" + std::string(ggml_type_name((ggml_type)i)), stream.str(), { "B_TYPE", "float", "D_TYPE", "float16_t" }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[i] = ggml_vk_create_pipeline_from_string("mul_mat_vec_" + std::string(ggml_type_name((ggml_type)i)) + "_f32", stream.str(), { "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[i] = ggml_vk_create_pipeline_from_string("mul_mat_vec_" + std::string(ggml_type_name((ggml_type)i)), stream.str(), { "B_TYPE", "float", "D_TYPE", "float16_t", "K_QUANTS_PER_ITERATION", std::to_string(K_QUANTS_PER_ITERATION) }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[i] = ggml_vk_create_pipeline_from_string("mul_mat_vec_" + std::string(ggml_type_name((ggml_type)i)) + "_f32", stream.str(), { "B_TYPE", "float", "D_TYPE", "float", "K_QUANTS_PER_ITERATION", std::to_string(K_QUANTS_PER_ITERATION) }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); } // add @@ -1049,6 +1076,7 @@ static inline vk_pipeline* ggml_vk_get_to_fp16(ggml_type type) { case GGML_TYPE_Q5_0: case GGML_TYPE_Q5_1: case GGML_TYPE_Q8_0: + case GGML_TYPE_Q6_K: break; default: return nullptr; @@ -1068,6 +1096,7 @@ static inline vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type, bo case GGML_TYPE_Q5_0: case GGML_TYPE_Q5_1: case GGML_TYPE_Q8_0: + case GGML_TYPE_Q6_K: break; default: return nullptr; @@ -1205,7 +1234,7 @@ void ggml_vk_host_free(void* ptr) { } } if (buf == nullptr) { - fprintf(stderr, "WARNING: to free pinned memory: memory not in map\n"); + fprintf(stderr, "WARNING: failed to free pinned memory: memory not in map\n"); return; } From da09a02b816fa8d1c5dd022aab04daa2586a89aa Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 30 Sep 2023 10:32:11 +0200 Subject: [PATCH 080/142] Add multi-submit for command buffers --- ggml-vulkan.cpp | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 19b3dd397ee92..63fd71d6c2671 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -50,8 +50,6 @@ #define VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI 1 #define VK_DEVICE_DESCRIPTOR_POOL_MODE_SINGLE 2 -#define VK_SUBMIT_BATCH 3 - #define VK_NUM_TYPES 16 #ifndef K_QUANTS_PER_ITERATION @@ -166,6 +164,7 @@ struct vk_staging_memcpy { }; struct ggml_vk_tensor_extra_gpu { + uint32_t batch_size; std::vector buffer_idx; std::vector memcpys; @@ -1243,10 +1242,14 @@ void ggml_vk_host_free(void* ptr) { vk_pinned_memory.erase(vk_pinned_memory.begin() + index); } -static vk_submission ggml_vk_begin_submission(vk_queue& q) { +static vk_submission ggml_vk_begin_submission(vk_queue& q, bool one_time = true) { vk_submission s; s.buffer = ggml_vk_create_cmd_buffer(q); - s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + if (one_time) { + s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + } else { + s.buffer.begin({ vk::CommandBufferUsageFlags{} }); + } return s; } From 39bd512dd1a836373d81ca6840a0fd73c6e627f6 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 3 Oct 2023 09:31:54 +0200 Subject: [PATCH 081/142] Fix q6_k dequant shader for AMD --- ggml-vulkan-shaders.hpp | 31 ++++++++++++++++++------------- ggml-vulkan.cpp | 8 +++----- 2 files changed, 21 insertions(+), 18 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index 0ce57f30c90b6..a7cb149ca3928 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -468,23 +468,28 @@ layout (push_constant) uniform parameter } p; void main() { - const int i = int(gl_WorkGroupID.x); - const int tid = int(gl_LocalInvocationID.x); - const int ip = tid / 32; - const int il = tid - 32 * ip; - const int is = 8 * ip + il / 16; + for (int wgy = 0; wgy < 256; wgy++) { + const int i = int(gl_WorkGroupID.x * 256 + wgy); + if (i >= p.M * p.K / QUANT_K) { + return; + } + const int tid = int(gl_LocalInvocationID.x); + const int ip = tid / 32; + const int il = tid - 32 * ip; + const int is = 8 * ip + il / 16; - const int y_idx = i * QUANT_K + 128 * ip + il; + const int y_idx = i * QUANT_K + 128 * ip + il; - const int ql_idx = 64 * ip + il; - const uint8_t qh = x[i].qh[32 * ip + il]; + const int ql_idx = 64 * ip + il; + const uint8_t qh = x[i].qh[32 * ip + il]; - const FLOAT_TYPE d = FLOAT_TYPE(x[i].d); + const FLOAT_TYPE d = FLOAT_TYPE(x[i].d); - y[y_idx + 0] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 0] * (int8_t((x[i].ql[ql_idx + 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32))); - y[y_idx + 32] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 2] * (int8_t((x[i].ql[ql_idx + 32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32))); - y[y_idx + 64] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 4] * (int8_t((x[i].ql[ql_idx + 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32))); - y[y_idx + 96] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 6] * (int8_t((x[i].ql[ql_idx + 32] >> 4) | (((qh >> 6) & 3) << 4)) - 32))); + y[y_idx + 0] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 0] * (int8_t((x[i].ql[ql_idx + 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32))); + y[y_idx + 32] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 2] * (int8_t((x[i].ql[ql_idx + 32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32))); + y[y_idx + 64] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 4] * (int8_t((x[i].ql[ql_idx + 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32))); + y[y_idx + 96] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 6] * (int8_t((x[i].ql[ql_idx + 32] >> 4) | (((qh >> 6) & 3) << 4)) - 32))); + } } )"; diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 63fd71d6c2671..683add489e273 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -797,20 +797,16 @@ static void ggml_vk_generate_shaders() { continue; } - int work_group_denom; - switch ((ggml_type)i) { case GGML_TYPE_Q6_K: stream << dequant_q6_K_body; - work_group_denom = 64 * 4; break; default: stream << dequant_body; - work_group_denom = 256 * 32; break; } - vk_pipeline_dequant[i] = ggml_vk_create_pipeline_from_string("dequant_" + std::string(ggml_type_name((ggml_type)i)), stream.str(), { "D_TYPE", "float16_t" }, "main", 2, 4 * sizeof(int), {work_group_denom, 1, 1}, {}, 1); + vk_pipeline_dequant[i] = ggml_vk_create_pipeline_from_string("dequant_" + std::string(ggml_type_name((ggml_type)i)), stream.str(), { "D_TYPE", "float16_t" }, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); } // mul mat vec @@ -891,6 +887,8 @@ void ggml_vk_init(void) { }; validation_features.setPNext(nullptr); instance_create_info.setPNext(&validation_features); + +std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; #endif vk_instance = vk::createInstance(instance_create_info); From 85c1a63a15e6c28c69dcabd85803e8c83f134076 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 8 Oct 2023 11:52:44 +0200 Subject: [PATCH 082/142] Fix q6_k for GPUs without fp16 support --- ggml-vulkan-shaders.hpp | 30 +++++++++++++++++------------- ggml-vulkan.cpp | 10 ++-------- 2 files changed, 19 insertions(+), 21 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index a7cb149ca3928..fde390b883181 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -3,10 +3,14 @@ // Generic const std::string shader_f32 = R"( #define FLOAT_TYPE float +#define INT8_TYPE int +#define UINT8_TYPE uint )"; const std::string shader_f16 = R"( #extension GL_EXT_shader_explicit_arithmetic_types_float16 : require #define FLOAT_TYPE float16_t +#define INT8_TYPE int8_t +#define UINT8_TYPE uint8_t )"; const std::string shader_int8_ext = R"( #extension GL_EXT_shader_explicit_arithmetic_types_int8 : require @@ -598,25 +602,25 @@ void main() { for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { const int y_idx = i * QUANT_K + y_offset; - const FLOAT_TYPE d = x[ib0 + i].d; + const FLOAT_TYPE d = FLOAT_TYPE(x[ib0 + i].d); #if K_QUANTS_PER_ITERATION == 1 - FLOAT_TYPE sum = FLOAT_TYPE(y[y_idx + 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 0] & 0xF) | ((x[ib0 + i].qh[qh_offset + 0] & 0x03) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + 16]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 16] & 0xF) | ((x[ib0 + i].qh[qh_offset + 16] & 0x03) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + 32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 32] & 0xF) | ((x[ib0 + i].qh[qh_offset + 0] & 0x0c) << 2)) - 32) - + FLOAT_TYPE(y[y_idx + 48]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 48] & 0xF) | ((x[ib0 + i].qh[qh_offset + 16] & 0x0c) << 2)) - 32) - + FLOAT_TYPE(y[y_idx + 64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 0] >> 4) | ((x[ib0 + i].qh[qh_offset + 0] & 0x30) >> 0)) - 32) - + FLOAT_TYPE(y[y_idx + 80]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 16] >> 4) | ((x[ib0 + i].qh[qh_offset + 16] & 0x30) >> 0)) - 32) - + FLOAT_TYPE(y[y_idx + 96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 32] >> 4) | ((x[ib0 + i].qh[qh_offset + 0] & 0xc0) >> 2)) - 32) - + FLOAT_TYPE(y[y_idx +112]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 48] >> 4) | ((x[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32); + FLOAT_TYPE sum = FLOAT_TYPE(y[y_idx + 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 0]) & 0xF) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 0]) & 0x03) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + 16]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 16]) & 0xF) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 16]) & 0x03) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + 32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 32]) & 0xF) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 0]) & 0x0c) << 2)) - 32) + + FLOAT_TYPE(y[y_idx + 48]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 48]) & 0xF) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 16]) & 0x0c) << 2)) - 32) + + FLOAT_TYPE(y[y_idx + 64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 0]) >> 4) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 0]) & 0x30) >> 0)) - 32) + + FLOAT_TYPE(y[y_idx + 80]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 16]) >> 4) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 16]) & 0x30) >> 0)) - 32) + + FLOAT_TYPE(y[y_idx + 96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 32]) >> 4) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 0]) & 0xc0) >> 2)) - 32) + + FLOAT_TYPE(y[y_idx +112]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 48]) >> 4) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 16]) & 0xc0) >> 2)) - 32); tmp[16 * ix + tid] += sum; #else FLOAT_TYPE sum = 0; for (int l = 0; l < 4; ++l) { - sum += FLOAT_TYPE(y[y_idx + l+ 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + l+32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + l+64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + l+96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32); + sum += FLOAT_TYPE(y[y_idx + l+ 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + l+ 0]) & 0xF) | (((UINT8_TYPE(x[ib0 + i].qh[qh_offset + l]) >> 0) & 3) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + l+32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + l+32]) & 0xF) | (((UINT8_TYPE(x[ib0 + i].qh[qh_offset + l]) >> 2) & 3) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + l+64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + l+ 0]) >> 4) | (((UINT8_TYPE(x[ib0 + i].qh[qh_offset + l]) >> 4) & 3) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + l+96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + l+32]) >> 4) | (((UINT8_TYPE(x[ib0 + i].qh[qh_offset + l]) >> 6) & 3) << 4)) - 32); } tmp[16 * ix + tid] += sum; #endif diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 683add489e273..6030fac48f83e 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -788,10 +788,7 @@ static void ggml_vk_generate_shaders() { stream.str(""); stream.clear(); - stream << dequant_head << shader_float_type; - if (vk_device.fp16) { - stream << shader_int8_ext; - } + stream << dequant_head << shader_int8_ext << shader_float_type; if (!ggml_vk_build_shader_type_defines(stream, (ggml_type)i, !vk_device.fp16)) { continue; @@ -814,10 +811,7 @@ static void ggml_vk_generate_shaders() { stream.str(""); stream.clear(); - stream << mul_mat_vec_head << shader_float_type; - if (vk_device.fp16) { - stream << shader_int8_ext; - } + stream << mul_mat_vec_head << shader_int8_ext << shader_float_type; if (!ggml_vk_build_shader_type_defines(stream, (ggml_type)i, !vk_device.fp16)) { continue; From dad1cdb1efd9e0222b4c3d8fc388e5f7c4313a00 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 8 Oct 2023 11:56:07 +0200 Subject: [PATCH 083/142] Simplify q6_k fp16 fix --- ggml-vulkan-shaders.hpp | 28 ++++++++++++---------------- 1 file changed, 12 insertions(+), 16 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index fde390b883181..6746977df13d7 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -3,14 +3,10 @@ // Generic const std::string shader_f32 = R"( #define FLOAT_TYPE float -#define INT8_TYPE int -#define UINT8_TYPE uint )"; const std::string shader_f16 = R"( #extension GL_EXT_shader_explicit_arithmetic_types_float16 : require #define FLOAT_TYPE float16_t -#define INT8_TYPE int8_t -#define UINT8_TYPE uint8_t )"; const std::string shader_int8_ext = R"( #extension GL_EXT_shader_explicit_arithmetic_types_int8 : require @@ -605,22 +601,22 @@ void main() { const FLOAT_TYPE d = FLOAT_TYPE(x[ib0 + i].d); #if K_QUANTS_PER_ITERATION == 1 - FLOAT_TYPE sum = FLOAT_TYPE(y[y_idx + 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 0]) & 0xF) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 0]) & 0x03) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + 16]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 16]) & 0xF) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 16]) & 0x03) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + 32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 32]) & 0xF) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 0]) & 0x0c) << 2)) - 32) - + FLOAT_TYPE(y[y_idx + 48]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 48]) & 0xF) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 16]) & 0x0c) << 2)) - 32) - + FLOAT_TYPE(y[y_idx + 64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 0]) >> 4) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 0]) & 0x30) >> 0)) - 32) - + FLOAT_TYPE(y[y_idx + 80]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 16]) >> 4) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 16]) & 0x30) >> 0)) - 32) - + FLOAT_TYPE(y[y_idx + 96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 32]) >> 4) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 0]) & 0xc0) >> 2)) - 32) - + FLOAT_TYPE(y[y_idx +112]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + 48]) >> 4) | ((UINT8_TYPE(x[ib0 + i].qh[qh_offset + 16]) & 0xc0) >> 2)) - 32); + FLOAT_TYPE sum = FLOAT_TYPE(y[y_idx + 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 0] & 0xF) | ((x[ib0 + i].qh[qh_offset + 0] & 0x03) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + 16]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 16] & 0xF) | ((x[ib0 + i].qh[qh_offset + 16] & 0x03) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + 32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 32] & 0xF) | ((x[ib0 + i].qh[qh_offset + 0] & 0x0c) << 2)) - 32) + + FLOAT_TYPE(y[y_idx + 48]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 48] & 0xF) | ((x[ib0 + i].qh[qh_offset + 16] & 0x0c) << 2)) - 32) + + FLOAT_TYPE(y[y_idx + 64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 0] >> 4) | ((x[ib0 + i].qh[qh_offset + 0] & 0x30) >> 0)) - 32) + + FLOAT_TYPE(y[y_idx + 80]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 16] >> 4) | ((x[ib0 + i].qh[qh_offset + 16] & 0x30) >> 0)) - 32) + + FLOAT_TYPE(y[y_idx + 96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 32] >> 4) | ((x[ib0 + i].qh[qh_offset + 0] & 0xc0) >> 2)) - 32) + + FLOAT_TYPE(y[y_idx +112]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 48] >> 4) | ((x[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32); tmp[16 * ix + tid] += sum; #else FLOAT_TYPE sum = 0; for (int l = 0; l < 4; ++l) { - sum += FLOAT_TYPE(y[y_idx + l+ 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + l+ 0]) & 0xF) | (((UINT8_TYPE(x[ib0 + i].qh[qh_offset + l]) >> 0) & 3) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + l+32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + l+32]) & 0xF) | (((UINT8_TYPE(x[ib0 + i].qh[qh_offset + l]) >> 2) & 3) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + l+64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + l+ 0]) >> 4) | (((UINT8_TYPE(x[ib0 + i].qh[qh_offset + l]) >> 4) & 3) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + l+96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(INT8_TYPE((UINT8_TYPE(x[ib0 + i].ql[ql_offset + l+32]) >> 4) | (((UINT8_TYPE(x[ib0 + i].qh[qh_offset + l]) >> 6) & 3) << 4)) - 32); + sum += FLOAT_TYPE(y[y_idx + l+ 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + l+32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + l+64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + l+96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32); } tmp[16 * ix + tid] += sum; #endif From e2962e1262247b9a77556195f4aed31785b185a5 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Mon, 9 Oct 2023 21:15:44 +0200 Subject: [PATCH 084/142] Minor fixes --- ggml-vulkan-shaders.hpp | 4 ++-- ggml-vulkan.cpp | 6 +++--- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index 6746977df13d7..86838430a770c 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -585,7 +585,7 @@ void main() { const int is = 0; #else const int l0 = 4 * v_in; // 0, 4, 8, ..., 28 - const int is = in / 4; + const int is = v_in / 4; #endif const int ql_offset = 64*v_im + l0; @@ -611,7 +611,7 @@ void main() { + FLOAT_TYPE(y[y_idx +112]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 48] >> 4) | ((x[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32); tmp[16 * ix + tid] += sum; #else - FLOAT_TYPE sum = 0; + FLOAT_TYPE sum = FLOAT_TYPE(0.0); for (int l = 0; l < 4; ++l) { sum += FLOAT_TYPE(y[y_idx + l+ 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32) + FLOAT_TYPE(y[y_idx + l+32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 6030fac48f83e..dd6ab75860df9 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -7,9 +7,9 @@ #ifdef VK_PROFILE #define PROFILE(name, block) do { \ - auto begin = std::chrono::high_resolution_clock::now(); \ + auto begin = std::chrono::steady_clock::now(); \ block \ - auto end = std::chrono::high_resolution_clock::now(); \ + auto end = std::chrono::steady_clock::now(); \ double time_taken = std::chrono::duration_cast(end-begin).count() / 1000.0; \ printf("%s: %lf ms\n", name, time_taken); \ } while(0) @@ -914,7 +914,7 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; // Try to find a non-graphics compute queue and transfer-focused queues const uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1, 1); - const uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics | vk::QueueFlagBits::eVideoDecodeKHR | vk::QueueFlagBits::eProtected | vk::QueueFlagBits::eOpticalFlowNV, compute_queue_family_index, 2); + const uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics, compute_queue_family_index, 2); uint32_t transfer_queue_count = VK_TRANSFER_QUEUE_COUNT; From b44722946e8851ae3be05be36ae72e17ccd150de Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 11 Oct 2023 22:08:38 +0200 Subject: [PATCH 085/142] Fix wg_denom of m-mulmat shaders --- ggml-vulkan.cpp | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index dd6ab75860df9..a26c747aece37 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -757,28 +757,28 @@ static void ggml_vk_generate_shaders() { std::stringstream stream; stream << mulmat_head << shader_float_type << mulmat_body; vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline_from_string("matmul_f32_l", stream.str(), { "A_TYPE", "float", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline_from_string("matmul_f32_m", stream.str(), { "A_TYPE", "float", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline_from_string("matmul_f32_m", stream.str(), { "A_TYPE", "float", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline_from_string("matmul_f32_s", stream.str(), { "A_TYPE", "float", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_l", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_m", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_m", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_s", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); stream.str(""); stream.clear(); stream << mulmat_head << shader_float_type << mulmat_body; vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline_from_string("matmul_f16_l", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float16_t", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline_from_string("matmul_f16_m", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float16_t", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline_from_string("matmul_f16_m", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float16_t", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline_from_string("matmul_f16_s", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float16_t", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_l", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type_f16, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_m", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type_f16, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_m", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type_f16, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_s", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type_f16, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline_from_string("matmul_f16_f32_l", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline_from_string("matmul_f16_f32_m", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline_from_string("matmul_f16_f32_m", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline_from_string("matmul_f16_f32_s", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_l", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_m", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_m", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_s", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); // Build dequant shaders From 73d01d14aa57e08ec9933c77bcf600999928bb95 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 14 Oct 2023 08:46:16 +0200 Subject: [PATCH 086/142] Add Python-based Vulkan shader generator --- ggml_vk_generate_shaders.py | 963 ++++++++++++++++++++++++++++++++++++ 1 file changed, 963 insertions(+) create mode 100644 ggml_vk_generate_shaders.py diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py new file mode 100644 index 0000000000000..887bd23da6a23 --- /dev/null +++ b/ggml_vk_generate_shaders.py @@ -0,0 +1,963 @@ +#!/usr/bin/env python + +import asyncio +import os +import sys +from tempfile import NamedTemporaryFile + +shader_f32 = """ +#define FLOAT_TYPE float +""" +shader_f16 = """ +#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require +#define FLOAT_TYPE float16_t +""" +shader_int8_ext = """ +#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require +""" + +# Type-specific defines +shader_f16_defines = """ +#define QUANT_K 32 +#define QUANT_R 2 + +#define A_TYPE float16_t +""" +shader_q4_0_defines = """ +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q4_0 +{ + float16_t d; + uint8_t qs[16]; +}; + +#define A_TYPE block_q4_0 +""" +shader_q4_1_defines = """ +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q4_1 +{ + float16_t d; + float16_t m; + uint8_t qs[16]; +}; + +#define A_TYPE block_q4_1 +""" +shader_q5_0_defines = """ +#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q5_0 +{ + float16_t d; + uint16_t qh[2]; + uint8_t qs[16]; +}; + +#define A_TYPE block_q5_0 +""" +shader_q5_1_defines = """ +#define QUANT_K 32 +#define QUANT_R 2 + +struct block_q5_1 +{ + float16_t d; + float16_t m; + uint qh; + uint8_t qs[16]; +}; + +#define A_TYPE block_q5_1 +""" +shader_q8_0_defines = """ +#define QUANT_K 32 +#define QUANT_R 1 + +struct block_q8_0 +{ + float16_t d; + int8_t qs[32]; +}; + +#define A_TYPE block_q8_0 +""" + +shader_q6_K_defines = """ +#define QUANT_K 256 + +struct block_q6_K +{ + uint8_t ql[QUANT_K/2]; + uint8_t qh[QUANT_K/4]; + int8_t scales[QUANT_K/16]; + float16_t d; +}; + +#define A_TYPE block_q6_K +""" + +# Dequant functions +shader_f16_dequant_func = """ +#define DEQUANT_FUNC f16vec2 v = f16vec2(x[ib + 0], x[ib + 1]); +""" +shader_f16_dequant_func_compat = """ +#define DEQUANT_FUNC vec2 v = vec2(x[ib + 0], x[ib + 1]); +""" + +shader_q4_0_dequant_func = """ +#define DEQUANT_FUNC const float16_t d = x[ib].d; \ +const uint8_t vui = x[ib].qs[iqs]; \ +f16vec2 v = f16vec2(vui & 0xF, vui >> 4); \ +v = (v - 8.0hf)*d; +""" +shader_q4_0_dequant_func_compat = """ +#define DEQUANT_FUNC const float d = float(x[ib].d); \ +const uint vui = uint(x[ib].qs[iqs]); \ +vec2 v = vec2(vui & 0xF, vui >> 4); \ +v = (v - 8.0f)*d; +""" + +shader_q4_1_dequant_func = """ +#define DEQUANT_FUNC const float16_t d = x[ib].d; \ +const float16_t m = x[ib].m; \ +const uint8_t vui = x[ib].qs[iqs]; \ +f16vec2 v = f16vec2(vui & 0xF, vui >> 4); \ +v = v*d + m; +""" +shader_q4_1_dequant_func_compat = """ +#define DEQUANT_FUNC const float d = float(x[ib].d); \ +const float m = float(x[ib].m); \ +const uint vui = uint(x[ib].qs[iqs]); \ +vec2 v = vec2(vui & 0xF, vui >> 4); \ +v = v*d + m; +""" + +shader_q5_0_dequant_func = """ +#define DEQUANT_FUNC const float16_t d = x[ib].d; \ +const uint uint_qh = uint(x[ib].qh[1]) << 16 | x[ib].qh[0]; \ +const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); \ +const uint8_t vui = x[ib].qs[iqs]; \ +f16vec2 v = f16vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ +v = (v - 16.0hf) * d; +""" +shader_q5_0_dequant_func_compat = """ +#define DEQUANT_FUNC const float d = float(x[ib].d); \ +const uint uint_qh = uint(x[ib].qh[1]) << 16 | x[ib].qh[0]; \ +const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); \ +const uint vui = uint(x[ib].qs[iqs]); \ +vec2 v = vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ +v = (v - 16.0f) * d; +""" + +shader_q5_1_dequant_func = """ +#define DEQUANT_FUNC const float16_t d = x[ib].d; \ +const float16_t m = x[ib].m; \ +const ivec2 qh = ivec2(((x[ib].qh >> iqs) << 4) & 0x10, (x[ib].qh >> (iqs + 12)) & 0x10); \ +const uint8_t vui = x[ib].qs[iqs]; \ +f16vec2 v = f16vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ +v = v*d + m; +""" +shader_q5_1_dequant_func_compat = """ +#define DEQUANT_FUNC const float d = float(x[ib].d); \ +const float m = float(x[ib].m); \ +const ivec2 qh = ivec2(((x[ib].qh >> iqs) << 4) & 0x10, (x[ib].qh >> (iqs + 12)) & 0x10); \ +const uint vui = uint(x[ib].qs[iqs]); \ +vec2 v = vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ +v = v*d + m; +""" + +shader_q8_0_dequant_func = """ +#define DEQUANT_FUNC const float16_t d = x[ib].d; \ +f16vec2 v = f16vec2(x[ib].qs[iqs], x[ib].qs[iqs + 1]); \ +v = v * d; +""" +shader_q8_0_dequant_func_compat = """ +#define DEQUANT_FUNC const float d = float(x[ib].d); \ +vec2 v = vec2(int(x[ib].qs[iqs]), int(x[ib].qs[iqs + 1])); \ +v = v * d; +""" + +# MULMAT + +mulmat_head = """#version 450 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require + +#define WARP 32 + +#ifndef LOAD_VEC +#define LOAD_VEC 1 +#endif +""" + +mulmat_body = """ +layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; +layout (binding = 2) writeonly buffer D {D_TYPE data_d[];}; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int K; + int stride_a; + int stride_b; + int stride_d; + int k_split; +} p; + +layout (constant_id = 1) const int BM = 64; +layout (constant_id = 2) const int BN = 64; +layout (constant_id = 3) const int BK = 16; +layout (constant_id = 4) const int WM = 32; +layout (constant_id = 5) const int WN = 32; +layout (constant_id = 6) const int WMITER = 2; +layout (constant_id = 7) const int TM = 4; +layout (constant_id = 8) const int TN = 2; + +shared FLOAT_TYPE buf_a[BM * (BK+1)]; +shared FLOAT_TYPE buf_b[BN * (BK+1)]; + +void main() { + const int blocks_x = (p.M + BM - 1) / BM; + const int ir = int(gl_WorkGroupID.x) % blocks_x; + const int ik = int(gl_WorkGroupID.x) / blocks_x; + const int ic = int(gl_WorkGroupID.y); + + const int warp_i = int(gl_LocalInvocationID.x / WARP); + const int warp_r = warp_i % (BM / WM); + const int warp_c = warp_i / (BM / WM); + + const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); + const int WSUBM = WM / WMITER; + const int WSUBN = WN / WNITER; + + const int tiw = int(gl_LocalInvocationID.x % WARP); + const int tiwr = tiw % (WSUBM / TM); + const int tiwc = tiw / (WSUBM / TM); + + const int loadr = int(gl_LocalInvocationID.x % (BK / LOAD_VEC)); + const int loadc = int(gl_LocalInvocationID.x / (BK / LOAD_VEC)); + + const int loadstride = int(gl_WorkGroupSize.x * LOAD_VEC) / BK; + + const int start_k = ik * p.k_split; + const int end_k = (ik + 1) * p.k_split; + + int pos_a = ir * BM * p.stride_a / LOAD_VEC + start_k / LOAD_VEC; + int pos_b = ic * BN * p.stride_b / LOAD_VEC + start_k / LOAD_VEC; + + D_TYPE sums[WMITER * TM * WNITER * TN]; + FLOAT_TYPE cache_a[WMITER * TM]; + FLOAT_TYPE cache_b[WNITER * TN]; + + [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { + sums[i] = 0.0f; + } + + [[unroll]] for (int block = start_k; block < end_k; block += BK) { + [[unroll]] for (int l = 0; l < BM; l += loadstride) { +#if LOAD_VEC == 8 + const int idx = pos_a + (loadc + l) * p.stride_a / LOAD_VEC + loadr; + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_a[idx][0].x); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_a[idx][0].y); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_a[idx][0].z); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_a[idx][0].w); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 4] = FLOAT_TYPE(data_a[idx][1].x); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 5] = FLOAT_TYPE(data_a[idx][1].y); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 6] = FLOAT_TYPE(data_a[idx][1].z); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 7] = FLOAT_TYPE(data_a[idx][1].w); +#elif LOAD_VEC == 4 + const int idx = pos_a + (loadc + l) * p.stride_a / LOAD_VEC + loadr; + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_a[idx].x); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_a[idx].y); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_a[idx].z); + buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_a[idx].w); +#else + if (ir * BM + loadc + l < p.M && block + loadr < p.K) { + buf_a[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(data_a[pos_a + (loadc + l) * p.stride_a + loadr]); + } else { + buf_a[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(0.0f); + } +#endif + } + [[unroll]] for (int l = 0; l < BN; l += loadstride) { +#if LOAD_VEC == 8 + const int idx = pos_b + (loadc + l) * p.stride_b / LOAD_VEC + loadr; + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_b[idx][0].x); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_b[idx][0].y); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_b[idx][0].z); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_b[idx][0].w); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 4] = FLOAT_TYPE(data_b[idx][1].x); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 5] = FLOAT_TYPE(data_b[idx][1].y); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 6] = FLOAT_TYPE(data_b[idx][1].z); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 7] = FLOAT_TYPE(data_b[idx][1].w); +#elif LOAD_VEC == 4 + const int idx = pos_b + (loadc + l) * p.stride_b / LOAD_VEC + loadr; + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_b[idx].x); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_b[idx].y); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_b[idx].z); + buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_b[idx].w); +#else + if (ic * BN + loadc + l < p.N && block + loadr < p.K) { + buf_b[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(data_b[pos_b + (loadc + l) * p.stride_b + loadr]); + } else { + buf_b[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(0.0f); + } +#endif + } + + barrier(); + + pos_a += BK / LOAD_VEC; + pos_b += BK / LOAD_VEC; + + for (int i = 0; i < min(BK, p.K - block); i++) { + // Load from shared into cache + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int j = 0; j < TM; j++) { + cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; + } + } + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int j = 0; j < TN; j++) { + cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; + } + } + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += D_TYPE(cache_a[wsir * TM + cr]) * D_TYPE(cache_b[wsic * TN + cc]); + } + } + } + } + } + + barrier(); + } + + const int dr = ir * BM + warp_r * WM; + const int dc = ic * BN + warp_c * WN; + + const int k_split_offset = ik * p.M * p.N; + + [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + + const int dr_warp = dr + wsir * WSUBM + tiwr * TM; + const int dc_warp = dc + wsic * WSUBN + tiwc * TN; + [[unroll]] for (int cc = 0; cc < TN; cc++) { + [[unroll]] for (int cr = 0; cr < TM; cr++) { + if (dr_warp + cr < p.M && dc_warp + cc < p.N) { + data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + } + } + } + } + } +} +""" + +mulmat_split_k_reduce_src = """#version 450 + +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; + +layout (binding = 0) buffer A {float data[];}; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int k_num; +} p; + +void main() { + const int glr = int(gl_GlobalInvocationID.x); + const int glc = int(gl_GlobalInvocationID.y); + + if (glr >= p.M || glc >= p.N) { + return; + } + + const int idx = glc * p.M + glr; + + float result = 0.0f; + + for (int i = 0; i < p.k_num; i++) { + result += data[i * p.M * p.N + idx]; + } + + data[idx] = result; +} +""" + +# DEQUANT SHADER +dequant_head = """#version 450 + +#extension GL_EXT_control_flow_attributes : require +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require +""" + +dequant_body = """ +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE x[];}; +layout (binding = 1) writeonly buffer D {D_TYPE y[];}; + +layout (push_constant) uniform parameter +{ + int M; + int K; + int stride_a; + int stride_b; +} p; + +void main() { + const int i = int(gl_GlobalInvocationID.x); + + // Transposed + const int row = i % (p.K / QUANT_K); + const int col = i / (p.K / QUANT_K); + + if (row * QUANT_K >= p.K || col >= p.M) { + return; + } + + const int stride_a = p.stride_a / QUANT_K; + + const int ib = col * stride_a + row; + + const int y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; + const int step = QUANT_R == 1 ? 2 : 1; + + [[unroll]] for (int iqs = 0; iqs < QUANT_K/QUANT_R; iqs += step) { + DEQUANT_FUNC + + y[col * p.stride_b + row*QUANT_K + iqs + 0 ] = D_TYPE(v.x); + y[col * p.stride_b + row*QUANT_K + iqs + y_offset] = D_TYPE(v.y); + } +} +""" + +# K-quants +dequant_q6_K_body = """ +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE x[];}; +layout (binding = 1) writeonly buffer D {D_TYPE y[];}; + +layout (push_constant) uniform parameter +{ + int M; + int K; + int stride_a; + int stride_b; +} p; + +void main() { + for (int wgy = 0; wgy < 256; wgy++) { + const int i = int(gl_WorkGroupID.x * 256 + wgy); + if (i >= p.M * p.K / QUANT_K) { + return; + } + const int tid = int(gl_LocalInvocationID.x); + const int ip = tid / 32; + const int il = tid - 32 * ip; + const int is = 8 * ip + il / 16; + + const int y_idx = i * QUANT_K + 128 * ip + il; + + const int ql_idx = 64 * ip + il; + const uint8_t qh = x[i].qh[32 * ip + il]; + + const FLOAT_TYPE d = FLOAT_TYPE(x[i].d); + + y[y_idx + 0] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 0] * (int8_t((x[i].ql[ql_idx + 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32))); + y[y_idx + 32] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 2] * (int8_t((x[i].ql[ql_idx + 32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32))); + y[y_idx + 64] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 4] * (int8_t((x[i].ql[ql_idx + 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32))); + y[y_idx + 96] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 6] * (int8_t((x[i].ql[ql_idx + 32] >> 4) | (((qh >> 6) & 3) << 4)) - 32))); + } +} +""" + +# Mul Mat Vec +mul_mat_vec_head = """#version 450 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_8bit_storage : require +""" + +mul_mat_vec_body = """ +layout(local_size_x = QUANT_K, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE x[];}; +layout (binding = 1) readonly buffer B {B_TYPE y[];}; +layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; + +layout (push_constant) uniform parameter +{ + int ncols; +} p; + +shared FLOAT_TYPE tmp[QUANT_K]; + +void main() { + const int block_size = int(gl_WorkGroupSize.x); + const int row = int(gl_WorkGroupID.x); + const int tid = int(gl_LocalInvocationID.x); + + const int y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; + + tmp[tid] = FLOAT_TYPE(0.0f); + + [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { + const int col = i*block_size + 2*tid; + const int ib = (row*p.ncols + col)/QUANT_K; // block index + const int iqs = (col%QUANT_K)/QUANT_R; // quant index + const int iybs = col - col%QUANT_K; // y block start index + + DEQUANT_FUNC + + // matrix multiplication + tmp[tid] += FLOAT_TYPE(v.x) * FLOAT_TYPE(y[iybs + iqs + 0]); + tmp[tid] += FLOAT_TYPE(v.y) * FLOAT_TYPE(y[iybs + iqs + y_offset]); + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = block_size/2; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + dst[row] = D_TYPE(tmp[0]); + } +} +""" + +mul_mat_vec_q6_K_body = """ +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE x[];}; +layout (binding = 1) readonly buffer B {B_TYPE y[];}; +layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; + +layout (push_constant) uniform parameter +{ + int ncols; +} p; + +shared FLOAT_TYPE tmp[32]; + +void main() { + const int row = int(gl_WorkGroupID.x); + + const int num_blocks_per_row = p.ncols / QUANT_K; + const int ib0 = row*num_blocks_per_row; + + const int tid = int(gl_LocalInvocationID.x)/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 + const int ix = int(gl_LocalInvocationID.x)%K_QUANTS_PER_ITERATION; // 0 or 0, 1 + + const int step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 + + const int v_im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... + const int v_in = tid - step*v_im; // 0...15 or 0...7 + +#if K_QUANTS_PER_ITERATION == 1 + const int l0 = K_QUANTS_PER_ITERATION*v_in; // 0...15 + const int is = 0; +#else + const int l0 = 4 * v_in; // 0, 4, 8, ..., 28 + const int is = v_in / 4; +#endif + + const int ql_offset = 64*v_im + l0; + const int qh_offset = 32*v_im + l0; + const int s_offset = 8*v_im + is; + const int y_offset = 128*v_im + l0; + + tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp + + for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + const int y_idx = i * QUANT_K + y_offset; + + const FLOAT_TYPE d = FLOAT_TYPE(x[ib0 + i].d); + +#if K_QUANTS_PER_ITERATION == 1 + FLOAT_TYPE sum = FLOAT_TYPE(y[y_idx + 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 0] & 0xF) | ((x[ib0 + i].qh[qh_offset + 0] & 0x03) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + 16]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 16] & 0xF) | ((x[ib0 + i].qh[qh_offset + 16] & 0x03) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + 32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 32] & 0xF) | ((x[ib0 + i].qh[qh_offset + 0] & 0x0c) << 2)) - 32) + + FLOAT_TYPE(y[y_idx + 48]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 48] & 0xF) | ((x[ib0 + i].qh[qh_offset + 16] & 0x0c) << 2)) - 32) + + FLOAT_TYPE(y[y_idx + 64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 0] >> 4) | ((x[ib0 + i].qh[qh_offset + 0] & 0x30) >> 0)) - 32) + + FLOAT_TYPE(y[y_idx + 80]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 16] >> 4) | ((x[ib0 + i].qh[qh_offset + 16] & 0x30) >> 0)) - 32) + + FLOAT_TYPE(y[y_idx + 96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 32] >> 4) | ((x[ib0 + i].qh[qh_offset + 0] & 0xc0) >> 2)) - 32) + + FLOAT_TYPE(y[y_idx +112]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 48] >> 4) | ((x[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32); + tmp[16 * ix + tid] += sum; +#else + FLOAT_TYPE sum = FLOAT_TYPE(0.0); + for (int l = 0; l < 4; ++l) { + sum += FLOAT_TYPE(y[y_idx + l+ 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + l+32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + l+64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32) + + FLOAT_TYPE(y[y_idx + l+96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32); + } + tmp[16 * ix + tid] += sum; +#endif + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = 16; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + dst[row] = D_TYPE(tmp[0]); + } +} +""" + +# F16 to F32 +f32_to_f16_src = """#version 450 + +#extension GL_EXT_shader_16bit_storage : require + +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {float data_a[];}; +layout (binding = 1) writeonly buffer D {float16_t data_b[];}; + +layout (push_constant) uniform parameter +{ + int M; + int K; + int stride_a; + int stride_b; +} p; + +void main() { + const int row = int(gl_GlobalInvocationID.x % p.K); + const int col = int(gl_GlobalInvocationID.x / p.K); + + if (row < p.K && col < p.M) { + data_b[col * p.stride_b + row] = float16_t(data_a[col * p.stride_a + row]); + } +} +""" + +# MUL F32 +mul_f32_src = """#version 450 + +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; + +layout (binding = 0) buffer X {X_TYPE data_x[];}; +layout (binding = 1) buffer Y {Y_TYPE data_y[];}; +layout (binding = 2) buffer D {D_TYPE data_d[];}; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int stride_x; + int stride_y; + int stride_d; + int x_offset; + int y_offset; + int d_offset; + float scale; +} p; + +void main() { + const int x = int(gl_GlobalInvocationID.x); + const int y = int(gl_GlobalInvocationID.y); + + if (x >= p.M || y >= p.N) { + return; + } + + data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(data_x[p.x_offset + y * p.stride_x + x]) * D_TYPE(data_y[p.y_offset + x]); +} +""" + +# ADD +add_head = """ +#version 450 + +#extension GL_EXT_shader_16bit_storage : require +""" + +add_body = """ +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; +layout (binding = 0) buffer X {X_TYPE data_x[];}; +layout (binding = 1) buffer Y {Y_TYPE data_y[];}; +layout (binding = 2) buffer D {D_TYPE data_d[];}; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int stride_x; + int stride_y; + int stride_d; + int x_offset; + int y_offset; + int d_offset; + float scale; +} p; + +void main() { + const int x = int(gl_GlobalInvocationID.x); + const int y = int(gl_GlobalInvocationID.y); + + if (x >= p.M || y >= p.N) { + return; + } + + data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(FLOAT_TYPE(data_x[p.x_offset + y * p.stride_x + x]) + FLOAT_TYPE(data_y[p.y_offset + x])); +} +""" + +# SCALE +scale_src = """#version 450 + +layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; + +layout (binding = 0) buffer X {X_TYPE data_x[];}; +layout (binding = 1) buffer D {D_TYPE data_d[];}; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int stride_x; + int stride_y; + int stride_d; + int x_offset; + int y_offset; + int d_offset; + float scale; +} p; + +void main() { + const int x = int(gl_GlobalInvocationID.x); + const int y = int(gl_GlobalInvocationID.y); + + if (x >= p.M || y >= p.N) { + return; + } + + data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(data_x[p.x_offset + y * p.stride_x + x]) * D_TYPE(p.scale); +} +""" + + +VK_NUM_TYPES = 16 + +GGML_TYPE_F32 = 0 +GGML_TYPE_F16 = 1 +GGML_TYPE_Q4_0 = 2 +GGML_TYPE_Q4_1 = 3 +GGML_TYPE_Q5_0 = 6 +GGML_TYPE_Q5_1 = 7 +GGML_TYPE_Q8_0 = 8 +GGML_TYPE_Q8_1 = 9 +GGML_TYPE_Q2_K = 10 +GGML_TYPE_Q3_K = 11 +GGML_TYPE_Q4_K = 12 +GGML_TYPE_Q5_K = 13 +GGML_TYPE_Q6_K = 14 +GGML_TYPE_Q8_K = 15 + + +type_names = { + GGML_TYPE_F32: "F32", + GGML_TYPE_F16: "F16", + GGML_TYPE_Q4_0: "Q4_0", + GGML_TYPE_Q4_1: "Q4_1", + GGML_TYPE_Q5_0: "Q5_0", + GGML_TYPE_Q5_1: "Q5_1", + GGML_TYPE_Q8_0: "Q8_0", + GGML_TYPE_Q8_1: "Q8_1", + GGML_TYPE_Q2_K: "Q2_K", + GGML_TYPE_Q3_K: "Q3_K", + GGML_TYPE_Q4_K: "Q4_K", + GGML_TYPE_Q5_K: "Q5_K", + GGML_TYPE_Q6_K: "Q6_K", + GGML_TYPE_Q8_K: "Q8_K", +} + +K_QUANTS_PER_ITERATION = 1 + + +async def string_to_spv_file(name, code, defines, fp16): + with NamedTemporaryFile(mode="w") as f: + f.write(code) + f.flush() + + cmd = ["glslc", "-fshader-stage=compute", "--target-env=vulkan1.2", "-O", f.name, "-o", os.path.join("vk_shaders", f"{name}{'_fp32' if not fp16 else ''}.comp")] + + cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) + + proc = await asyncio.create_subprocess_exec(*cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE) + + stdout, stderr = await proc.communicate() + + stdout = stdout.decode() + error = stderr.decode() + + if proc.returncode: + # Generate preprocessed code + cmd = ["glslc", "-E", f.name] + cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) + + proc = await asyncio.create_subprocess_exec(*cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE) + + stdout, stderr = await proc.communicate() + + print(" ".join(cmd)) + + if proc.returncode: + raise RuntimeError(f"{name=} {f.name=} {stdout=} {stderr=}") + + preprocessed_code = stdout.decode() + + cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) + code_with_lines = "\n".join([f"{i}: {line}" for i, line in enumerate(preprocessed_code.splitlines())]) + print(f"ERROR compiling {name}\n\n{code_with_lines}\n\n{error=}") + sys.exit(proc.returncode) + + +async def main(): + print("ggml_vulkan: Generating and compiling shaders to SPIR-V") + + os.makedirs("vk_shaders", exist_ok=True) + + async with asyncio.TaskGroup() as tg: + for fp16 in (False, True): + # mulmat + if fp16: + shader_float_type = shader_f16 + load_vec = "8" + vec_type_f16 = "f16mat2x4" + vec_type = "mat2x4" + else: + shader_float_type = shader_f32 + load_vec = "4" + vec_type_f16 = "f16vec4" + vec_type = "vec4" + + stream = [] + stream.extend((mulmat_head, shader_float_type, mulmat_body)); + tg.create_task(string_to_spv_file("matmul_f32_l", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f32_m", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f32_s", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f32_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f32_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f32_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + + stream.clear(); + stream.extend((mulmat_head, shader_float_type, mulmat_body)); + tg.create_task(string_to_spv_file("matmul_f16_l", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f16_m", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f16_s", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) + + tg.create_task(string_to_spv_file("matmul_f16_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f16_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f16_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) + + tg.create_task(string_to_spv_file("matmul_f16_f32_l", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f16_f32_m", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f16_f32_s", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f16_f32_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f16_f32_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tg.create_task(string_to_spv_file("matmul_f16_f32_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + + # Build dequant shaders + tg.create_task(string_to_spv_file("f32_to_f16", f32_to_f16_src, {}, fp16)) + + for i in range(0, VK_NUM_TYPES): + stream.clear(); + + stream.extend((dequant_head, shader_int8_ext, shader_float_type)); + + if i == GGML_TYPE_F16: + stream.extend((shader_f16_defines, shader_f16_dequant_func_compat if not fp16 else shader_f16_dequant_func, dequant_body)) + elif i == GGML_TYPE_Q4_0: + stream.extend((shader_q4_0_defines, shader_q4_0_dequant_func_compat if not fp16 else shader_q4_0_dequant_func, dequant_body)) + elif i == GGML_TYPE_Q4_1: + stream.extend((shader_q4_1_defines, shader_q4_1_dequant_func_compat if not fp16 else shader_q4_1_dequant_func, dequant_body)) + elif i == GGML_TYPE_Q5_0: + stream.extend((shader_q5_0_defines, shader_q5_0_dequant_func_compat if not fp16 else shader_q5_0_dequant_func, dequant_body)) + elif i == GGML_TYPE_Q5_1: + stream.extend((shader_q5_1_defines, shader_q5_1_dequant_func_compat if not fp16 else shader_q5_1_dequant_func, dequant_body)) + elif i == GGML_TYPE_Q8_0: + stream.extend((shader_q8_0_defines, shader_q8_0_dequant_func_compat if not fp16 else shader_q8_0_dequant_func, dequant_body)) + elif i == GGML_TYPE_Q6_K: + stream.extend((shader_q6_K_defines, dequant_q6_K_body)) + else: + continue + + tg.create_task(string_to_spv_file(f"dequant_{type_names[i]}", "".join(stream), {"D_TYPE": "float16_t"}, fp16)) + + # mul mat vec + for i in range(0, VK_NUM_TYPES): + stream.clear(); + stream.extend((mul_mat_vec_head, shader_int8_ext, shader_float_type)) + + if i == GGML_TYPE_F16: + stream.extend((shader_f16_defines, shader_f16_dequant_func_compat if not fp16 else shader_f16_dequant_func, mul_mat_vec_body)) + elif i == GGML_TYPE_Q4_0: + stream.extend((shader_q4_0_defines, shader_q4_0_dequant_func_compat if not fp16 else shader_q4_0_dequant_func, mul_mat_vec_body)) + elif i == GGML_TYPE_Q4_1: + stream.extend((shader_q4_1_defines, shader_q4_1_dequant_func_compat if not fp16 else shader_q4_1_dequant_func, mul_mat_vec_body)) + elif i == GGML_TYPE_Q5_0: + stream.extend((shader_q5_0_defines, shader_q5_0_dequant_func_compat if not fp16 else shader_q5_0_dequant_func, mul_mat_vec_body)) + elif i == GGML_TYPE_Q5_1: + stream.extend((shader_q5_1_defines, shader_q5_1_dequant_func_compat if not fp16 else shader_q5_1_dequant_func, mul_mat_vec_body)) + elif i == GGML_TYPE_Q8_0: + stream.extend((shader_q8_0_defines, shader_q8_0_dequant_func_compat if not fp16 else shader_q8_0_dequant_func, mul_mat_vec_body)) + elif i == GGML_TYPE_Q6_K: + stream.extend((shader_q6_K_defines, mul_mat_vec_q6_K_body)) + else: + continue + + tg.create_task(string_to_spv_file(f"mul_mat_vec_{type_names[i]}", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float16_t", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) + tg.create_task(string_to_spv_file(f"mul_mat_vec_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) + + # add + stream.clear(); + + stream.extend((add_head, shader_float_type, add_body)) + tg.create_task(string_to_spv_file("add_f32", "".join(stream), {"X_TYPE": "float", "Y_TYPE": "float", "D_TYPE": "float"}, fp16)) + + stream.clear(); + stream.extend((add_head, shader_float_type, add_body)) + tg.create_task(string_to_spv_file("add_f16_f32_f16", "".join(stream), {"X_TYPE": "float16_t", "Y_TYPE": "float", "D_TYPE": "float16_t"}, fp16)) + + # Static shaders + tg.create_task(string_to_spv_file("split_k_reduce", mulmat_split_k_reduce_src, {}, fp16)) + tg.create_task(string_to_spv_file("mul_f32", mul_f32_src, {"X_TYPE": "float", "Y_TYPE": "float", "D_TYPE": "float"}, fp16)) + + tg.create_task(string_to_spv_file("scale_f32", scale_src, {"X_TYPE": "float", "D_TYPE": "float"}, fp16)) + + +asyncio.run(main()) From de4b813c5f7eb90ae378fd8352c180eefdf6fdfd Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 14 Oct 2023 09:55:08 +0200 Subject: [PATCH 087/142] Replace shaderc dependency with precompiled shaders Fix python script to generate shaders --- CMakeLists.txt | 6 +- Makefile | 2 +- ggml-vulkan-shaders.hpp | 773 ------------------------------------ ggml-vulkan.cpp | 199 ++-------- ggml_vk_generate_shaders.py | 231 +++++------ 5 files changed, 162 insertions(+), 1049 deletions(-) delete mode 100644 ggml-vulkan-shaders.hpp diff --git a/CMakeLists.txt b/CMakeLists.txt index 79580b00fd453..ca50a19943bd0 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -375,14 +375,12 @@ if (LLAMA_CLBLAST) endif() if (LLAMA_VULKAN) - find_package(Vulkan COMPONENTS shaderc_combined) - find_package(glslang) - find_package(SPIRV-Tools-opt) + find_package(Vulkan) if (Vulkan_FOUND) message(STATUS "Vulkan found") add_library(ggml-vulkan STATIC ggml-vulkan.cpp ggml-vulkan.h) - target_link_libraries(ggml-vulkan PUBLIC Vulkan::Vulkan Vulkan::shaderc_combined) + target_link_libraries(ggml-vulkan PUBLIC Vulkan::Vulkan) add_compile_definitions(GGML_USE_VULKAN) diff --git a/Makefile b/Makefile index 7f2e8ea5c8652..5ea0588533cf7 100644 --- a/Makefile +++ b/Makefile @@ -430,7 +430,7 @@ endif # LLAMA_CLBLAST ifdef LLAMA_VULKAN CFLAGS += -DGGML_USE_VULKAN CXXFLAGS += -DGGML_USE_VULKAN - LDFLAGS += -lvulkan -lopenblas -lglslang -lSPIRV -lSPIRV-Tools-opt -lSPIRV-Tools -lshaderc_combined + LDFLAGS += -lvulkan OBJS += ggml-vulkan.o ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h $(CXX) $(CXXFLAGS) -c $< -o $@ diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp deleted file mode 100644 index 86838430a770c..0000000000000 --- a/ggml-vulkan-shaders.hpp +++ /dev/null @@ -1,773 +0,0 @@ -#include - -// Generic -const std::string shader_f32 = R"( -#define FLOAT_TYPE float -)"; -const std::string shader_f16 = R"( -#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require -#define FLOAT_TYPE float16_t -)"; -const std::string shader_int8_ext = R"( -#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require -)"; - -// Type-specific defines -const std::string shader_f16_defines = R"( -#define QUANT_K 32 -#define QUANT_R 2 - -#define A_TYPE float16_t -)"; -const std::string shader_q4_0_defines = R"( -#define QUANT_K 32 -#define QUANT_R 2 - -struct block_q4_0 -{ - float16_t d; - uint8_t qs[16]; -}; - -#define A_TYPE block_q4_0 -)"; -const std::string shader_q4_1_defines = R"( -#define QUANT_K 32 -#define QUANT_R 2 - -struct block_q4_1 -{ - float16_t d; - float16_t m; - uint8_t qs[16]; -}; - -#define A_TYPE block_q4_1 -)"; -const std::string shader_q5_0_defines = R"( -#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require -#define QUANT_K 32 -#define QUANT_R 2 - -struct block_q5_0 -{ - float16_t d; - uint16_t qh[2]; - uint8_t qs[16]; -}; - -#define A_TYPE block_q5_0 -)"; -const std::string shader_q5_1_defines = R"( -#define QUANT_K 32 -#define QUANT_R 2 - -struct block_q5_1 -{ - float16_t d; - float16_t m; - uint qh; - uint8_t qs[16]; -}; - -#define A_TYPE block_q5_1 -)"; -const std::string shader_q8_0_defines = R"( -#define QUANT_K 32 -#define QUANT_R 1 - -struct block_q8_0 -{ - float16_t d; - int8_t qs[32]; -}; - -#define A_TYPE block_q8_0 -)"; - -const std::string shader_q6_K_defines = R"( -#define QUANT_K 256 - -struct block_q6_K -{ - uint8_t ql[QUANT_K/2]; - uint8_t qh[QUANT_K/4]; - int8_t scales[QUANT_K/16]; - float16_t d; -}; - -#define A_TYPE block_q6_K -)"; - -// Dequant functions -const std::string shader_f16_dequant_func = R"( -#define DEQUANT_FUNC f16vec2 v = f16vec2(x[ib + 0], x[ib + 1]); -)"; -const std::string shader_f16_dequant_func_compat = R"( -#define DEQUANT_FUNC vec2 v = vec2(x[ib + 0], x[ib + 1]); -)"; - -const std::string shader_q4_0_dequant_func = R"( -#define DEQUANT_FUNC const float16_t d = x[ib].d; \ -const uint8_t vui = x[ib].qs[iqs]; \ -f16vec2 v = f16vec2(vui & 0xF, vui >> 4); \ -v = (v - 8.0hf)*d; -)"; -const std::string shader_q4_0_dequant_func_compat = R"( -#define DEQUANT_FUNC const float d = float(x[ib].d); \ -const uint vui = uint(x[ib].qs[iqs]); \ -vec2 v = vec2(vui & 0xF, vui >> 4); \ -v = (v - 8.0f)*d; -)"; - -const std::string shader_q4_1_dequant_func = R"( -#define DEQUANT_FUNC const float16_t d = x[ib].d; \ -const float16_t m = x[ib].m; \ -const uint8_t vui = x[ib].qs[iqs]; \ -f16vec2 v = f16vec2(vui & 0xF, vui >> 4); \ -v = v*d + m; -)"; -const std::string shader_q4_1_dequant_func_compat = R"( -#define DEQUANT_FUNC const float d = float(x[ib].d); \ -const float m = float(x[ib].m); \ -const uint vui = uint(x[ib].qs[iqs]); \ -vec2 v = vec2(vui & 0xF, vui >> 4); \ -v = v*d + m; -)"; - -const std::string shader_q5_0_dequant_func = R"( -#define DEQUANT_FUNC const float16_t d = x[ib].d; \ -const uint uint_qh = uint(x[ib].qh[1]) << 16 | x[ib].qh[0]; \ -const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); \ -const uint8_t vui = x[ib].qs[iqs]; \ -f16vec2 v = f16vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ -v = (v - 16.0hf) * d; -)"; -const std::string shader_q5_0_dequant_func_compat = R"( -#define DEQUANT_FUNC const float d = float(x[ib].d); \ -const uint uint_qh = uint(x[ib].qh[1]) << 16 | x[ib].qh[0]; \ -const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); \ -const uint vui = uint(x[ib].qs[iqs]); \ -vec2 v = vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ -v = (v - 16.0f) * d; -)"; - -const std::string shader_q5_1_dequant_func = R"( -#define DEQUANT_FUNC const float16_t d = x[ib].d; \ -const float16_t m = x[ib].m; \ -const ivec2 qh = ivec2(((x[ib].qh >> iqs) << 4) & 0x10, (x[ib].qh >> (iqs + 12)) & 0x10); \ -const uint8_t vui = x[ib].qs[iqs]; \ -f16vec2 v = f16vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ -v = v*d + m; -)"; -const std::string shader_q5_1_dequant_func_compat = R"( -#define DEQUANT_FUNC const float d = float(x[ib].d); \ -const float m = float(x[ib].m); \ -const ivec2 qh = ivec2(((x[ib].qh >> iqs) << 4) & 0x10, (x[ib].qh >> (iqs + 12)) & 0x10); \ -const uint vui = uint(x[ib].qs[iqs]); \ -vec2 v = vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ -v = v*d + m; -)"; - -const std::string shader_q8_0_dequant_func = R"( -#define DEQUANT_FUNC const float16_t d = x[ib].d; \ -f16vec2 v = f16vec2(x[ib].qs[iqs], x[ib].qs[iqs + 1]); \ -v = v * d; -)"; -const std::string shader_q8_0_dequant_func_compat = R"( -#define DEQUANT_FUNC const float d = float(x[ib].d); \ -vec2 v = vec2(int(x[ib].qs[iqs]), int(x[ib].qs[iqs + 1])); \ -v = v * d; -)"; - -// MULMAT - -const std::string mulmat_head = R"( -#version 450 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_16bit_storage : require - -#define WARP 32 - -#ifndef LOAD_VEC -#define LOAD_VEC 1 -#endif -)"; - -const std::string mulmat_body = R"( -layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { A_TYPE data_a[]; }; -layout (binding = 1) readonly buffer B { B_TYPE data_b[]; }; -layout (binding = 2) writeonly buffer D { D_TYPE data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int K; - int stride_a; - int stride_b; - int stride_d; - int k_split; -} p; - -layout (constant_id = 1) const int BM = 64; -layout (constant_id = 2) const int BN = 64; -layout (constant_id = 3) const int BK = 16; -layout (constant_id = 4) const int WM = 32; -layout (constant_id = 5) const int WN = 32; -layout (constant_id = 6) const int WMITER = 2; -layout (constant_id = 7) const int TM = 4; -layout (constant_id = 8) const int TN = 2; - -shared FLOAT_TYPE buf_a[BM * (BK+1)]; -shared FLOAT_TYPE buf_b[BN * (BK+1)]; - -void main() { - const int blocks_x = (p.M + BM - 1) / BM; - const int ir = int(gl_WorkGroupID.x) % blocks_x; - const int ik = int(gl_WorkGroupID.x) / blocks_x; - const int ic = int(gl_WorkGroupID.y); - - const int warp_i = int(gl_LocalInvocationID.x / WARP); - const int warp_r = warp_i % (BM / WM); - const int warp_c = warp_i / (BM / WM); - - const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); - const int WSUBM = WM / WMITER; - const int WSUBN = WN / WNITER; - - const int tiw = int(gl_LocalInvocationID.x % WARP); - const int tiwr = tiw % (WSUBM / TM); - const int tiwc = tiw / (WSUBM / TM); - - const int loadr = int(gl_LocalInvocationID.x % (BK / LOAD_VEC)); - const int loadc = int(gl_LocalInvocationID.x / (BK / LOAD_VEC)); - - const int loadstride = int(gl_WorkGroupSize.x * LOAD_VEC) / BK; - - const int start_k = ik * p.k_split; - const int end_k = (ik + 1) * p.k_split; - - int pos_a = ir * BM * p.stride_a / LOAD_VEC + start_k / LOAD_VEC; - int pos_b = ic * BN * p.stride_b / LOAD_VEC + start_k / LOAD_VEC; - - D_TYPE sums[WMITER * TM * WNITER * TN]; - FLOAT_TYPE cache_a[WMITER * TM]; - FLOAT_TYPE cache_b[WNITER * TN]; - - [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = 0.0f; - } - - [[unroll]] for (int block = start_k; block < end_k; block += BK) { - [[unroll]] for (int l = 0; l < BM; l += loadstride) { -#if LOAD_VEC == 8 - const int idx = pos_a + (loadc + l) * p.stride_a / LOAD_VEC + loadr; - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_a[idx][0].x); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_a[idx][0].y); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_a[idx][0].z); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_a[idx][0].w); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 4] = FLOAT_TYPE(data_a[idx][1].x); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 5] = FLOAT_TYPE(data_a[idx][1].y); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 6] = FLOAT_TYPE(data_a[idx][1].z); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 7] = FLOAT_TYPE(data_a[idx][1].w); -#elif LOAD_VEC == 4 - const int idx = pos_a + (loadc + l) * p.stride_a / LOAD_VEC + loadr; - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_a[idx].x); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_a[idx].y); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_a[idx].z); - buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_a[idx].w); -#else - if (ir * BM + loadc + l < p.M && block + loadr < p.K) { - buf_a[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(data_a[pos_a + (loadc + l) * p.stride_a + loadr]); - } else { - buf_a[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(0.0f); - } -#endif - } - [[unroll]] for (int l = 0; l < BN; l += loadstride) { -#if LOAD_VEC == 8 - const int idx = pos_b + (loadc + l) * p.stride_b / LOAD_VEC + loadr; - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_b[idx][0].x); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_b[idx][0].y); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_b[idx][0].z); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_b[idx][0].w); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 4] = FLOAT_TYPE(data_b[idx][1].x); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 5] = FLOAT_TYPE(data_b[idx][1].y); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 6] = FLOAT_TYPE(data_b[idx][1].z); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 7] = FLOAT_TYPE(data_b[idx][1].w); -#elif LOAD_VEC == 4 - const int idx = pos_b + (loadc + l) * p.stride_b / LOAD_VEC + loadr; - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_b[idx].x); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_b[idx].y); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_b[idx].z); - buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_b[idx].w); -#else - if (ic * BN + loadc + l < p.N && block + loadr < p.K) { - buf_b[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(data_b[pos_b + (loadc + l) * p.stride_b + loadr]); - } else { - buf_b[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(0.0f); - } -#endif - } - - barrier(); - - pos_a += BK / LOAD_VEC; - pos_b += BK / LOAD_VEC; - - for (int i = 0; i < min(BK, p.K - block); i++) { - // Load from shared into cache - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int j = 0; j < TM; j++) { - cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; - } - } - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int j = 0; j < TN; j++) { - cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; - } - } - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += D_TYPE(cache_a[wsir * TM + cr]) * D_TYPE(cache_b[wsic * TN + cc]); - } - } - } - } - } - - barrier(); - } - - const int dr = ir * BM + warp_r * WM; - const int dc = ic * BN + warp_c * WN; - - const int k_split_offset = ik * p.M * p.N; - - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - - const int dr_warp = dr + wsir * WSUBM + tiwr * TM; - const int dc_warp = dc + wsic * WSUBN + tiwc * TN; - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { - if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; - } - } - } - } - } -} -)"; - -const std::string mulmat_split_k_reduce_src = R"( -#version 450 - -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; - -layout (binding = 0) buffer A { float data[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int k_num; -} p; - -void main() { - const int glr = int(gl_GlobalInvocationID.x); - const int glc = int(gl_GlobalInvocationID.y); - - if (glr >= p.M || glc >= p.N) { - return; - } - - const int idx = glc * p.M + glr; - - float result = 0.0f; - - for (int i = 0; i < p.k_num; i++) { - result += data[i * p.M * p.N + idx]; - } - - data[idx] = result; -} -)"; - -// DEQUANT SHADER -const std::string dequant_head = R"( -#version 450 - -#extension GL_EXT_control_flow_attributes : require -#extension GL_EXT_shader_16bit_storage : require -#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require -)"; - -const std::string dequant_body = R"( -layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { A_TYPE x[]; }; -layout (binding = 1) writeonly buffer D { D_TYPE y[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int K; - int stride_a; - int stride_b; -} p; - -void main() { - const int i = int(gl_GlobalInvocationID.x); - - // Transposed - const int row = i % (p.K / QUANT_K); - const int col = i / (p.K / QUANT_K); - - if (row * QUANT_K >= p.K || col >= p.M) { - return; - } - - const int stride_a = p.stride_a / QUANT_K; - - const int ib = col * stride_a + row; - - const int y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; - const int step = QUANT_R == 1 ? 2 : 1; - - [[unroll]] for (int iqs = 0; iqs < QUANT_K/QUANT_R; iqs += step) { - DEQUANT_FUNC - - y[col * p.stride_b + row*QUANT_K + iqs + 0 ] = D_TYPE(v.x); - y[col * p.stride_b + row*QUANT_K + iqs + y_offset] = D_TYPE(v.y); - } -} -)"; - -// K-quants -const std::string dequant_q6_K_body = R"( -layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { A_TYPE x[]; }; -layout (binding = 1) writeonly buffer D { D_TYPE y[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int K; - int stride_a; - int stride_b; -} p; - -void main() { - for (int wgy = 0; wgy < 256; wgy++) { - const int i = int(gl_WorkGroupID.x * 256 + wgy); - if (i >= p.M * p.K / QUANT_K) { - return; - } - const int tid = int(gl_LocalInvocationID.x); - const int ip = tid / 32; - const int il = tid - 32 * ip; - const int is = 8 * ip + il / 16; - - const int y_idx = i * QUANT_K + 128 * ip + il; - - const int ql_idx = 64 * ip + il; - const uint8_t qh = x[i].qh[32 * ip + il]; - - const FLOAT_TYPE d = FLOAT_TYPE(x[i].d); - - y[y_idx + 0] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 0] * (int8_t((x[i].ql[ql_idx + 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32))); - y[y_idx + 32] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 2] * (int8_t((x[i].ql[ql_idx + 32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32))); - y[y_idx + 64] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 4] * (int8_t((x[i].ql[ql_idx + 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32))); - y[y_idx + 96] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 6] * (int8_t((x[i].ql[ql_idx + 32] >> 4) | (((qh >> 6) & 3) << 4)) - 32))); - } -} -)"; - -// Mul Mat Vec -const std::string mul_mat_vec_head = R"( -#version 450 - -#extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_16bit_storage : require -#extension GL_EXT_shader_8bit_storage : require -)"; - -const std::string mul_mat_vec_body = R"( -layout(local_size_x = QUANT_K, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { A_TYPE x[]; }; -layout (binding = 1) readonly buffer B { B_TYPE y[]; }; -layout (binding = 2) writeonly buffer D { D_TYPE dst[]; }; - -layout (push_constant) uniform parameter -{ - int ncols; -} p; - -shared FLOAT_TYPE tmp[QUANT_K]; - -void main() { - const int block_size = int(gl_WorkGroupSize.x); - const int row = int(gl_WorkGroupID.x); - const int tid = int(gl_LocalInvocationID.x); - - const int y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; - - tmp[tid] = FLOAT_TYPE(0.0f); - - [[unroll]] for (int i = 0; i < p.ncols/block_size; i += 2) { - const int col = i*block_size + 2*tid; - const int ib = (row*p.ncols + col)/QUANT_K; // block index - const int iqs = (col%QUANT_K)/QUANT_R; // quant index - const int iybs = col - col%QUANT_K; // y block start index - - DEQUANT_FUNC - - // matrix multiplication - tmp[tid] += FLOAT_TYPE(v.x) * FLOAT_TYPE(y[iybs + iqs + 0]); - tmp[tid] += FLOAT_TYPE(v.y) * FLOAT_TYPE(y[iybs + iqs + y_offset]); - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (int s = block_size/2; s > 0; s >>= 1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - if (tid == 0) { - dst[row] = D_TYPE(tmp[0]); - } -} -)"; - -const std::string mul_mat_vec_q6_K_body = R"( -layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { A_TYPE x[]; }; -layout (binding = 1) readonly buffer B { B_TYPE y[]; }; -layout (binding = 2) writeonly buffer D { D_TYPE dst[]; }; - -layout (push_constant) uniform parameter -{ - int ncols; -} p; - -shared FLOAT_TYPE tmp[32]; - -void main() { - const int row = int(gl_WorkGroupID.x); - - const int num_blocks_per_row = p.ncols / QUANT_K; - const int ib0 = row*num_blocks_per_row; - - const int tid = int(gl_LocalInvocationID.x)/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 - const int ix = int(gl_LocalInvocationID.x)%K_QUANTS_PER_ITERATION; // 0 or 0, 1 - - const int step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 - - const int v_im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... - const int v_in = tid - step*v_im; // 0...15 or 0...7 - -#if K_QUANTS_PER_ITERATION == 1 - const int l0 = K_QUANTS_PER_ITERATION*v_in; // 0...15 - const int is = 0; -#else - const int l0 = 4 * v_in; // 0, 4, 8, ..., 28 - const int is = v_in / 4; -#endif - - const int ql_offset = 64*v_im + l0; - const int qh_offset = 32*v_im + l0; - const int s_offset = 8*v_im + is; - const int y_offset = 128*v_im + l0; - - tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp - - for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { - const int y_idx = i * QUANT_K + y_offset; - - const FLOAT_TYPE d = FLOAT_TYPE(x[ib0 + i].d); - -#if K_QUANTS_PER_ITERATION == 1 - FLOAT_TYPE sum = FLOAT_TYPE(y[y_idx + 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 0] & 0xF) | ((x[ib0 + i].qh[qh_offset + 0] & 0x03) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + 16]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 16] & 0xF) | ((x[ib0 + i].qh[qh_offset + 16] & 0x03) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + 32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 32] & 0xF) | ((x[ib0 + i].qh[qh_offset + 0] & 0x0c) << 2)) - 32) - + FLOAT_TYPE(y[y_idx + 48]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 48] & 0xF) | ((x[ib0 + i].qh[qh_offset + 16] & 0x0c) << 2)) - 32) - + FLOAT_TYPE(y[y_idx + 64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 0] >> 4) | ((x[ib0 + i].qh[qh_offset + 0] & 0x30) >> 0)) - 32) - + FLOAT_TYPE(y[y_idx + 80]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 16] >> 4) | ((x[ib0 + i].qh[qh_offset + 16] & 0x30) >> 0)) - 32) - + FLOAT_TYPE(y[y_idx + 96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 32] >> 4) | ((x[ib0 + i].qh[qh_offset + 0] & 0xc0) >> 2)) - 32) - + FLOAT_TYPE(y[y_idx +112]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 48] >> 4) | ((x[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32); - tmp[16 * ix + tid] += sum; -#else - FLOAT_TYPE sum = FLOAT_TYPE(0.0); - for (int l = 0; l < 4; ++l) { - sum += FLOAT_TYPE(y[y_idx + l+ 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + l+32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + l+64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + l+96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32); - } - tmp[16 * ix + tid] += sum; -#endif - } - - // sum up partial sums and write back result - barrier(); - [[unroll]] for (int s = 16; s > 0; s >>= 1) { - if (tid < s) { - tmp[tid] += tmp[tid + s]; - } - barrier(); - } - if (tid == 0) { - dst[row] = D_TYPE(tmp[0]); - } -} -)"; - -// F16 to F32 -const std::string f32_to_f16_src = R"( -#version 450 - -#extension GL_EXT_shader_16bit_storage : require - -layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; - -layout (binding = 0) readonly buffer A { float data_a[]; }; -layout (binding = 1) writeonly buffer D { float16_t data_b[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int K; - int stride_a; - int stride_b; -} p; - -void main() { - const int row = int(gl_GlobalInvocationID.x % p.K); - const int col = int(gl_GlobalInvocationID.x / p.K); - - if (row < p.K && col < p.M) { - data_b[col * p.stride_b + row] = float16_t(data_a[col * p.stride_a + row]); - } -} -)"; - -// MUL F32 -const std::string mul_f32_src = R"( -#version 450 - -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; - -layout (binding = 0) buffer X { X_TYPE data_x[]; }; -layout (binding = 1) buffer Y { Y_TYPE data_y[]; }; -layout (binding = 2) buffer D { D_TYPE data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int stride_x; - int stride_y; - int stride_d; - int x_offset; - int y_offset; - int d_offset; - float scale; -} p; - -void main() { - const int x = int(gl_GlobalInvocationID.x); - const int y = int(gl_GlobalInvocationID.y); - - if (x >= p.M || y >= p.N) { - return; - } - - data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(data_x[p.x_offset + y * p.stride_x + x]) * D_TYPE(data_y[p.y_offset + x]); -} -)"; - -// ADD -const std::string add_head = R"( -#version 450 - -#extension GL_EXT_shader_16bit_storage : require -)"; - -const std::string add_body = R"( -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; -layout (binding = 0) buffer X { X_TYPE data_x[]; }; -layout (binding = 1) buffer Y { Y_TYPE data_y[]; }; -layout (binding = 2) buffer D { D_TYPE data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int stride_x; - int stride_y; - int stride_d; - int x_offset; - int y_offset; - int d_offset; - float scale; -} p; - -void main() { - const int x = int(gl_GlobalInvocationID.x); - const int y = int(gl_GlobalInvocationID.y); - - if (x >= p.M || y >= p.N) { - return; - } - - data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(FLOAT_TYPE(data_x[p.x_offset + y * p.stride_x + x]) + FLOAT_TYPE(data_y[p.y_offset + x])); -} -)"; - -// SCALE -const std::string scale_src = R"( -#version 450 - -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; - -layout (binding = 0) buffer X { X_TYPE data_x[]; }; -layout (binding = 1) buffer D { D_TYPE data_d[]; }; - -layout (push_constant) uniform parameter -{ - int M; - int N; - int stride_x; - int stride_y; - int stride_d; - int x_offset; - int y_offset; - int d_offset; - float scale; -} p; - -void main() { - const int x = int(gl_GlobalInvocationID.x); - const int y = int(gl_GlobalInvocationID.y); - - if (x >= p.M || y >= p.N) { - return; - } - - data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(data_x[p.x_offset + y * p.stride_x + x]) * D_TYPE(p.scale); -} -)"; diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index a26c747aece37..f1ba6b8d6353b 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -30,12 +30,8 @@ #include #include -#include - #include "ggml.h" -#include "ggml-vulkan-shaders.hpp" - #define VK_API_VERSION VK_API_VERSION_1_2 #define CEIL_DIV(M, N) (((M) + (N)-1) / (N)) @@ -201,39 +197,6 @@ static std::vector vk_preallocated_buffer_sizes; static std::vector vk_preallocated_buffers; static vk::Fence vk_fence; -static std::vector ggml_vk_compile_shader(const std::string& name, const std::string& src, std::vector&& defines) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_compile_shader(" << name << ", " << src << ")" << std::endl; -#endif - GGML_ASSERT(defines.size() % 2 == 0); - - shaderc::Compiler compiler; - shaderc::CompileOptions options; - - for (size_t i = 0; i < defines.size(); i += 2) { - options.AddMacroDefinition(defines[i], defines[i + 1]); - } - - shaderc::SpvCompilationResult module = compiler.CompileGlslToSpv(src, shaderc_compute_shader, name.c_str(), options); - - if (module.GetCompilationStatus() != shaderc_compilation_status_success) { - shaderc::PreprocessedSourceCompilationResult prep_res = compiler.PreprocessGlsl(src, shaderc_compute_shader, name.c_str(), options); - - std::string prep_src = std::string{ prep_res.begin(), prep_res.end() }; - - std::stringstream ss(prep_src); - std::string line; - int counter = 1; - while(std::getline(ss, line, '\n')){ - std::cout << std::setw(3) << counter++ << std::setw(1) << ": " << line << std::endl; - } - std::cerr << "ggml_vulkan: Shader compile error in " << name << ": " << module.GetErrorMessage(); - GGML_ASSERT(false); - } - - return {module.cbegin(), module.cend()}; -} - static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_size, const uint32_t* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_pipeline(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; @@ -338,20 +301,13 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_s return pipeline; } -static vk_pipeline ggml_vk_create_pipeline_from_string(const std::string& name, const std::string& src, std::vector&& defines, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_create_pipeline_from_string(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; -#endif - - const std::vector spv = ggml_vk_compile_shader(name, src, std::move(defines)); - return ggml_vk_create_pipeline(name, spv.size() * sizeof(uint32_t), spv.data(), entrypoint, parameter_count, push_constant_size, wg_denoms, std::move(specialization_constants), align); -} - -static vk_pipeline ggml_vk_create_pipeline_from_file(const std::string& path, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { +static vk_pipeline ggml_vk_create_pipeline_from_file(const std::string& name, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_pipeline_from_file(" << path << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; #endif + const std::string path = "vk_shaders/" + name + (vk_device.fp16 ? "" : "_f32") + ".comp"; + std::vector matmul_shader_contents; if (std::ifstream shader_file{ path, std::ios::binary | std::ios::ate }) { const size_t file_size = shader_file.tellg(); @@ -363,7 +319,7 @@ static vk_pipeline ggml_vk_create_pipeline_from_file(const std::string& path, co abort(); } - return ggml_vk_create_pipeline(path, matmul_shader_contents.size(), reinterpret_cast(matmul_shader_contents.data()), entrypoint, parameter_count, push_constant_size, wg_denoms, std::move(specialization_constants), align); + return ggml_vk_create_pipeline(name, matmul_shader_contents.size(), reinterpret_cast(matmul_shader_contents.data()), entrypoint, parameter_count, push_constant_size, wg_denoms, std::move(specialization_constants), align); } static void ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline& pipeline, uint32_t n) { @@ -699,154 +655,83 @@ static void ggml_vk_destroy_buffer(vk_buffer& buf) { } } -static inline bool ggml_vk_build_shader_type_defines(std::stringstream& stream, ggml_type type, bool compat) { +static inline bool ggml_vk_build_shader(ggml_type type) { switch(type) { case GGML_TYPE_F16: - stream << shader_f16_defines << (compat ? shader_f16_dequant_func_compat : shader_f16_dequant_func); - return true; case GGML_TYPE_Q4_0: - stream << shader_q4_0_defines << (compat ? shader_q4_0_dequant_func_compat : shader_q4_0_dequant_func); - return true; case GGML_TYPE_Q4_1: - stream << shader_q4_1_defines << (compat ? shader_q4_1_dequant_func_compat : shader_q4_1_dequant_func); - return true; case GGML_TYPE_Q5_0: - stream << shader_q5_0_defines << (compat ? shader_q5_0_dequant_func_compat : shader_q5_0_dequant_func); - return true; case GGML_TYPE_Q5_1: - stream << shader_q5_1_defines << (compat ? shader_q5_1_dequant_func_compat : shader_q5_1_dequant_func); - return true; case GGML_TYPE_Q8_0: - stream << shader_q8_0_defines << (compat ? shader_q8_0_dequant_func_compat : shader_q8_0_dequant_func); - return true; case GGML_TYPE_Q6_K: - stream << shader_q6_K_defines; return true; default: return false; } } -static void ggml_vk_generate_shaders() { +static void ggml_vk_load_shaders() { #ifdef VK_DEBUG - std::cerr << "ggml_vk_generate_shaders()" << std::endl; + std::cerr << "ggml_vk_load_shaders()" << std::endl; #endif - std::cerr << "ggml_vulkan: Generating and compiling shaders to SPIR-V" << std::endl; // mulmat auto warptile_l = { 128, 128, 128, 16, 64, 64, 2, 4, 4 }; auto warptile_m = { 128, 64, 64, 16, 32, 32, 2, 4, 2 }; auto warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; - std::string shader_float_type; - std::string load_vec; - std::string vec_type_f16; - std::string vec_type; - if (vk_device.fp16) { - shader_float_type = shader_f16; - load_vec = "8"; - vec_type_f16 = "f16mat2x4"; - vec_type = "mat2x4"; - } else { - shader_float_type = shader_f32; - load_vec = "4"; - vec_type_f16 = "f16vec4"; - vec_type = "vec4"; - } - - std::stringstream stream; - stream << mulmat_head << shader_float_type << mulmat_body; - vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline_from_string("matmul_f32_l", stream.str(), { "A_TYPE", "float", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline_from_string("matmul_f32_m", stream.str(), { "A_TYPE", "float", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline_from_string("matmul_f32_s", stream.str(), { "A_TYPE", "float", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_l", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_m", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f32_aligned_s", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - stream.str(""); - stream.clear(); - stream << mulmat_head << shader_float_type << mulmat_body; - vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline_from_string("matmul_f16_l", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float16_t", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline_from_string("matmul_f16_m", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float16_t", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline_from_string("matmul_f16_s", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float16_t", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_l", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type_f16, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_m", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type_f16, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f16_aligned_s", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type_f16, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline_from_string("matmul_f16_f32_l", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline_from_string("matmul_f16_f32_m", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline_from_string("matmul_f16_f32_s", stream.str(), { "A_TYPE", "float16_t", "B_TYPE", "float", "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_l", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_m", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline_from_string("matmul_f16_f32_aligned_s", stream.str(), { "LOAD_VEC", load_vec, "A_TYPE", vec_type_f16, "B_TYPE", vec_type, "D_TYPE", "float" }, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline_from_file("matmul_f32_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline_from_file("matmul_f32_m", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline_from_file("matmul_f32_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline_from_file("matmul_f32_aligned_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline_from_file("matmul_f32_aligned_m", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline_from_file("matmul_f32_aligned_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - // Build dequant shaders - vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline_from_string("f32_to_f16", f32_to_f16_src, {}, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline_from_file("matmul_f16_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline_from_file("matmul_f16_m", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline_from_file("matmul_f16_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - for (int i = 0; i < VK_NUM_TYPES; i++) { - stream.str(""); - stream.clear(); + vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline_from_file("matmul_f16_aligned_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline_from_file("matmul_f16_aligned_m", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline_from_file("matmul_f16_aligned_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - stream << dequant_head << shader_int8_ext << shader_float_type; + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline_from_file("matmul_f16_f32_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline_from_file("matmul_f16_f32_m", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline_from_file("matmul_f16_f32_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline_from_file("matmul_f16_f32_aligned_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline_from_file("matmul_f16_f32_aligned_m", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline_from_file("matmul_f16_f32_aligned_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - if (!ggml_vk_build_shader_type_defines(stream, (ggml_type)i, !vk_device.fp16)) { - continue; - } + // Build dequant shaders + vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline_from_file("f32_to_f16", "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); - switch ((ggml_type)i) { - case GGML_TYPE_Q6_K: - stream << dequant_q6_K_body; - break; - default: - stream << dequant_body; - break; + for (int i = 0; i < VK_NUM_TYPES; i++) { + if (!ggml_vk_build_shader((ggml_type)i)) { + continue; } - - vk_pipeline_dequant[i] = ggml_vk_create_pipeline_from_string("dequant_" + std::string(ggml_type_name((ggml_type)i)), stream.str(), { "D_TYPE", "float16_t" }, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + const std::string name = "dequant_" + std::string(ggml_type_name((ggml_type)i)); + vk_pipeline_dequant[i] = ggml_vk_create_pipeline_from_file(name, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); } // mul mat vec for (int i = 0; i < VK_NUM_TYPES; i++) { - stream.str(""); - stream.clear(); - - stream << mul_mat_vec_head << shader_int8_ext << shader_float_type; - - if (!ggml_vk_build_shader_type_defines(stream, (ggml_type)i, !vk_device.fp16)) { + if (!ggml_vk_build_shader((ggml_type)i)) { continue; } - - switch ((ggml_type)i) { - case GGML_TYPE_Q6_K: - stream << mul_mat_vec_q6_K_body; - break; - default: - stream << mul_mat_vec_body; - break; - } - - vk_pipeline_dequant_mul_mat_vec[i] = ggml_vk_create_pipeline_from_string("mul_mat_vec_" + std::string(ggml_type_name((ggml_type)i)), stream.str(), { "B_TYPE", "float", "D_TYPE", "float16_t", "K_QUANTS_PER_ITERATION", std::to_string(K_QUANTS_PER_ITERATION) }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[i] = ggml_vk_create_pipeline_from_string("mul_mat_vec_" + std::string(ggml_type_name((ggml_type)i)) + "_f32", stream.str(), { "B_TYPE", "float", "D_TYPE", "float", "K_QUANTS_PER_ITERATION", std::to_string(K_QUANTS_PER_ITERATION) }, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + const std::string name = "mul_mat_vec_" + std::string(ggml_type_name((ggml_type)i)); + vk_pipeline_dequant_mul_mat_vec[i] = ggml_vk_create_pipeline_from_file(name, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[i] = ggml_vk_create_pipeline_from_file(name + "_f32", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); } // add - stream.str(""); - stream.clear(); - - stream << add_head << shader_float_type << add_body; - vk_pipeline_add_f32 = ggml_vk_create_pipeline_from_string("add_f32", stream.str(), { "X_TYPE", "float", "Y_TYPE", "float", "D_TYPE", "float" }, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - stream.str(""); - stream.clear(); - - stream << add_head << shader_float_type << add_body; - vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline_from_string("add_f16_f32_f16", stream.str(), { "X_TYPE", "float16_t", "Y_TYPE", "float", "D_TYPE", "float16_t" }, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_add_f32 = ggml_vk_create_pipeline_from_file("add_f32", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline_from_file("add_f16_f32_f16", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); // Static shaders - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline_from_string("split_k_reduce", mulmat_split_k_reduce_src, {}, "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); - vk_pipeline_mul_f32 = ggml_vk_create_pipeline_from_string("mul_f32", mul_f32_src, { "X_TYPE", "float", "Y_TYPE", "float", "D_TYPE", "float" }, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline_from_file("split_k_reduce", "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); + vk_pipeline_mul_f32 = ggml_vk_create_pipeline_from_file("mul_f32", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - vk_pipeline_scale_f32 = ggml_vk_create_pipeline_from_string("scale_f32", scale_src, { "X_TYPE", "float", "D_TYPE", "float" }, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_scale_f32 = ggml_vk_create_pipeline_from_file("scale_f32", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); } void ggml_vk_test_transfer(size_t ne); @@ -992,7 +877,7 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; vk_device.descriptor_set_mode = VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN; // Shaders - ggml_vk_generate_shaders(); + ggml_vk_load_shaders(); // Queues uint32_t queue_index_offset = compute_queue_family_index == transfer_queue_family_index ? 1 : 0; diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index 887bd23da6a23..7289bf028a9aa 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -789,20 +789,20 @@ type_names = { - GGML_TYPE_F32: "F32", - GGML_TYPE_F16: "F16", - GGML_TYPE_Q4_0: "Q4_0", - GGML_TYPE_Q4_1: "Q4_1", - GGML_TYPE_Q5_0: "Q5_0", - GGML_TYPE_Q5_1: "Q5_1", - GGML_TYPE_Q8_0: "Q8_0", - GGML_TYPE_Q8_1: "Q8_1", - GGML_TYPE_Q2_K: "Q2_K", - GGML_TYPE_Q3_K: "Q3_K", - GGML_TYPE_Q4_K: "Q4_K", - GGML_TYPE_Q5_K: "Q5_K", - GGML_TYPE_Q6_K: "Q6_K", - GGML_TYPE_Q8_K: "Q8_K", + GGML_TYPE_F32: "f32", + GGML_TYPE_F16: "f16", + GGML_TYPE_Q4_0: "q4_0", + GGML_TYPE_Q4_1: "q4_1", + GGML_TYPE_Q5_0: "q5_0", + GGML_TYPE_Q5_1: "q5_1", + GGML_TYPE_Q8_0: "q8_0", + GGML_TYPE_Q8_1: "q8_1", + GGML_TYPE_Q2_K: "q2_K", + GGML_TYPE_Q3_K: "q3_K", + GGML_TYPE_Q4_K: "q4_K", + GGML_TYPE_Q5_K: "q5_K", + GGML_TYPE_Q6_K: "q6_K", + GGML_TYPE_Q8_K: "q8_K", } K_QUANTS_PER_ITERATION = 1 @@ -851,113 +851,116 @@ async def main(): os.makedirs("vk_shaders", exist_ok=True) - async with asyncio.TaskGroup() as tg: - for fp16 in (False, True): - # mulmat - if fp16: - shader_float_type = shader_f16 - load_vec = "8" - vec_type_f16 = "f16mat2x4" - vec_type = "mat2x4" + for fp16 in (False, True): + # mulmat + if fp16: + shader_float_type = shader_f16 + load_vec = "8" + vec_type_f16 = "f16mat2x4" + vec_type = "mat2x4" + else: + shader_float_type = shader_f32 + load_vec = "4" + vec_type_f16 = "f16vec4" + vec_type = "vec4" + + tasks = [] + + stream = [] + stream.extend((mulmat_head, shader_float_type, mulmat_body)); + tasks.append(string_to_spv_file("matmul_f32_l", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f32_m", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f32_s", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f32_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f32_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f32_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + + stream.clear(); + stream.extend((mulmat_head, shader_float_type, mulmat_body)); + tasks.append(string_to_spv_file("matmul_f16_l", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f16_m", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f16_s", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) + + tasks.append(string_to_spv_file("matmul_f16_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f16_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f16_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) + + tasks.append(string_to_spv_file("matmul_f16_f32_l", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f16_f32_m", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f16_f32_s", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f16_f32_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f16_f32_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("matmul_f16_f32_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + + # Build dequant shaders + tasks.append(string_to_spv_file("f32_to_f16", f32_to_f16_src, {}, fp16)) + + for i in range(0, VK_NUM_TYPES): + stream.clear(); + + stream.extend((dequant_head, shader_int8_ext, shader_float_type)); + + if i == GGML_TYPE_F16: + stream.extend((shader_f16_defines, shader_f16_dequant_func_compat if not fp16 else shader_f16_dequant_func, dequant_body)) + elif i == GGML_TYPE_Q4_0: + stream.extend((shader_q4_0_defines, shader_q4_0_dequant_func_compat if not fp16 else shader_q4_0_dequant_func, dequant_body)) + elif i == GGML_TYPE_Q4_1: + stream.extend((shader_q4_1_defines, shader_q4_1_dequant_func_compat if not fp16 else shader_q4_1_dequant_func, dequant_body)) + elif i == GGML_TYPE_Q5_0: + stream.extend((shader_q5_0_defines, shader_q5_0_dequant_func_compat if not fp16 else shader_q5_0_dequant_func, dequant_body)) + elif i == GGML_TYPE_Q5_1: + stream.extend((shader_q5_1_defines, shader_q5_1_dequant_func_compat if not fp16 else shader_q5_1_dequant_func, dequant_body)) + elif i == GGML_TYPE_Q8_0: + stream.extend((shader_q8_0_defines, shader_q8_0_dequant_func_compat if not fp16 else shader_q8_0_dequant_func, dequant_body)) + elif i == GGML_TYPE_Q6_K: + stream.extend((shader_q6_K_defines, dequant_q6_K_body)) else: - shader_float_type = shader_f32 - load_vec = "4" - vec_type_f16 = "f16vec4" - vec_type = "vec4" - - stream = [] - stream.extend((mulmat_head, shader_float_type, mulmat_body)); - tg.create_task(string_to_spv_file("matmul_f32_l", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f32_m", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f32_s", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f32_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f32_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f32_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + continue + tasks.append(string_to_spv_file(f"dequant_{type_names[i]}", "".join(stream), {"D_TYPE": "float16_t"}, fp16)) + + # mul mat vec + for i in range(0, VK_NUM_TYPES): stream.clear(); - stream.extend((mulmat_head, shader_float_type, mulmat_body)); - tg.create_task(string_to_spv_file("matmul_f16_l", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f16_m", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f16_s", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) - - tg.create_task(string_to_spv_file("matmul_f16_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f16_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f16_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) - - tg.create_task(string_to_spv_file("matmul_f16_f32_l", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f16_f32_m", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f16_f32_s", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f16_f32_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f16_f32_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("matmul_f16_f32_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - - # Build dequant shaders - tg.create_task(string_to_spv_file("f32_to_f16", f32_to_f16_src, {}, fp16)) - - for i in range(0, VK_NUM_TYPES): - stream.clear(); - - stream.extend((dequant_head, shader_int8_ext, shader_float_type)); - - if i == GGML_TYPE_F16: - stream.extend((shader_f16_defines, shader_f16_dequant_func_compat if not fp16 else shader_f16_dequant_func, dequant_body)) - elif i == GGML_TYPE_Q4_0: - stream.extend((shader_q4_0_defines, shader_q4_0_dequant_func_compat if not fp16 else shader_q4_0_dequant_func, dequant_body)) - elif i == GGML_TYPE_Q4_1: - stream.extend((shader_q4_1_defines, shader_q4_1_dequant_func_compat if not fp16 else shader_q4_1_dequant_func, dequant_body)) - elif i == GGML_TYPE_Q5_0: - stream.extend((shader_q5_0_defines, shader_q5_0_dequant_func_compat if not fp16 else shader_q5_0_dequant_func, dequant_body)) - elif i == GGML_TYPE_Q5_1: - stream.extend((shader_q5_1_defines, shader_q5_1_dequant_func_compat if not fp16 else shader_q5_1_dequant_func, dequant_body)) - elif i == GGML_TYPE_Q8_0: - stream.extend((shader_q8_0_defines, shader_q8_0_dequant_func_compat if not fp16 else shader_q8_0_dequant_func, dequant_body)) - elif i == GGML_TYPE_Q6_K: - stream.extend((shader_q6_K_defines, dequant_q6_K_body)) - else: - continue - - tg.create_task(string_to_spv_file(f"dequant_{type_names[i]}", "".join(stream), {"D_TYPE": "float16_t"}, fp16)) - - # mul mat vec - for i in range(0, VK_NUM_TYPES): - stream.clear(); - stream.extend((mul_mat_vec_head, shader_int8_ext, shader_float_type)) - - if i == GGML_TYPE_F16: - stream.extend((shader_f16_defines, shader_f16_dequant_func_compat if not fp16 else shader_f16_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q4_0: - stream.extend((shader_q4_0_defines, shader_q4_0_dequant_func_compat if not fp16 else shader_q4_0_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q4_1: - stream.extend((shader_q4_1_defines, shader_q4_1_dequant_func_compat if not fp16 else shader_q4_1_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q5_0: - stream.extend((shader_q5_0_defines, shader_q5_0_dequant_func_compat if not fp16 else shader_q5_0_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q5_1: - stream.extend((shader_q5_1_defines, shader_q5_1_dequant_func_compat if not fp16 else shader_q5_1_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q8_0: - stream.extend((shader_q8_0_defines, shader_q8_0_dequant_func_compat if not fp16 else shader_q8_0_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q6_K: - stream.extend((shader_q6_K_defines, mul_mat_vec_q6_K_body)) - else: - continue - - tg.create_task(string_to_spv_file(f"mul_mat_vec_{type_names[i]}", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float16_t", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) - tg.create_task(string_to_spv_file(f"mul_mat_vec_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) - - # add - stream.clear(); + stream.extend((mul_mat_vec_head, shader_int8_ext, shader_float_type)) + + if i == GGML_TYPE_F16: + stream.extend((shader_f16_defines, shader_f16_dequant_func_compat if not fp16 else shader_f16_dequant_func, mul_mat_vec_body)) + elif i == GGML_TYPE_Q4_0: + stream.extend((shader_q4_0_defines, shader_q4_0_dequant_func_compat if not fp16 else shader_q4_0_dequant_func, mul_mat_vec_body)) + elif i == GGML_TYPE_Q4_1: + stream.extend((shader_q4_1_defines, shader_q4_1_dequant_func_compat if not fp16 else shader_q4_1_dequant_func, mul_mat_vec_body)) + elif i == GGML_TYPE_Q5_0: + stream.extend((shader_q5_0_defines, shader_q5_0_dequant_func_compat if not fp16 else shader_q5_0_dequant_func, mul_mat_vec_body)) + elif i == GGML_TYPE_Q5_1: + stream.extend((shader_q5_1_defines, shader_q5_1_dequant_func_compat if not fp16 else shader_q5_1_dequant_func, mul_mat_vec_body)) + elif i == GGML_TYPE_Q8_0: + stream.extend((shader_q8_0_defines, shader_q8_0_dequant_func_compat if not fp16 else shader_q8_0_dequant_func, mul_mat_vec_body)) + elif i == GGML_TYPE_Q6_K: + stream.extend((shader_q6_K_defines, mul_mat_vec_q6_K_body)) + else: + continue - stream.extend((add_head, shader_float_type, add_body)) - tg.create_task(string_to_spv_file("add_f32", "".join(stream), {"X_TYPE": "float", "Y_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file(f"mul_mat_vec_{type_names[i]}", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float16_t", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) + tasks.append(string_to_spv_file(f"mul_mat_vec_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) - stream.clear(); - stream.extend((add_head, shader_float_type, add_body)) - tg.create_task(string_to_spv_file("add_f16_f32_f16", "".join(stream), {"X_TYPE": "float16_t", "Y_TYPE": "float", "D_TYPE": "float16_t"}, fp16)) + # add + stream.clear(); + + stream.extend((add_head, shader_float_type, add_body)) + tasks.append(string_to_spv_file("add_f32", "".join(stream), {"X_TYPE": "float", "Y_TYPE": "float", "D_TYPE": "float"}, fp16)) + + stream.clear(); + stream.extend((add_head, shader_float_type, add_body)) + tasks.append(string_to_spv_file("add_f16_f32_f16", "".join(stream), {"X_TYPE": "float16_t", "Y_TYPE": "float", "D_TYPE": "float16_t"}, fp16)) + + # Static shaders + tasks.append(string_to_spv_file("split_k_reduce", mulmat_split_k_reduce_src, {}, fp16)) + tasks.append(string_to_spv_file("mul_f32", mul_f32_src, {"X_TYPE": "float", "Y_TYPE": "float", "D_TYPE": "float"}, fp16)) - # Static shaders - tg.create_task(string_to_spv_file("split_k_reduce", mulmat_split_k_reduce_src, {}, fp16)) - tg.create_task(string_to_spv_file("mul_f32", mul_f32_src, {"X_TYPE": "float", "Y_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv_file("scale_f32", scale_src, {"X_TYPE": "float", "D_TYPE": "float"}, fp16)) - tg.create_task(string_to_spv_file("scale_f32", scale_src, {"X_TYPE": "float", "D_TYPE": "float"}, fp16)) + await asyncio.gather(*tasks) asyncio.run(main()) From 1e6e13f32b09c4fe74725f3b4c05cc578860eed4 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 14 Oct 2023 10:30:39 +0200 Subject: [PATCH 088/142] Clean up code --- ggml-vulkan.cpp | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index f1ba6b8d6353b..c0ef5dd684cbd 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -89,7 +89,7 @@ struct vk_pipeline { }; struct vk_queue { - vk_queue() {}; + vk_queue() {} vk_queue(const vk_queue& b) : queue_family_index(b.queue_family_index), queue(b.queue), pool(b.pool), cmd_buffer_idx(b.cmd_buffer_idx), cmd_buffers(b.cmd_buffers), semaphore_idx(b.semaphore_idx), semaphores(b.semaphores), stage_flags(b.stage_flags) {} vk_queue& operator=(const vk_queue& b) { @@ -2372,7 +2372,6 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ const bool qx_needs_dequant = use_src0 && !qvec_kernel && src0->type != GGML_TYPE_F16; const bool f16_f32_kernel = use_src1 && src1->type == GGML_TYPE_F32; const bool qy_needs_dequant = use_src1 && src1->type != GGML_TYPE_F16 && !f16_f32_kernel; - const bool dq = qx_needs_dequant || qy_needs_dequant; const int split_k = node->op == GGML_OP_MUL_MAT ? ggml_vk_guess_split_k(ne01, ne11, ne10) : 1; const uint32_t x_ne = ne00 * ne01; @@ -2498,7 +2497,6 @@ void ggml_vk_build_graph(ggml_tensor * node){ #ifdef VK_DEBUG std::cerr << "ggml_vk_build_graph(" << node << ")" << std::endl; #endif - ggml_vk_func_t func; const bool any_on_device = node->backend == GGML_BACKEND_GPU || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) || (node->src[1] != nullptr && node->src[1]->backend == GGML_BACKEND_GPU); @@ -2542,7 +2540,6 @@ void ggml_vk_build_graph(ggml_tensor * node){ } bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor){ - ggml_vk_func_t func = nullptr; const bool any_on_device = tensor->backend == GGML_BACKEND_GPU || (tensor->src[0] != nullptr && (tensor->src[0]->backend == GGML_BACKEND_GPU || tensor->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) || (tensor->src[1] != nullptr && tensor->src[1]->backend == GGML_BACKEND_GPU); From 7efac61c7a47768b8c5c60ddbb9d463f4ebf9b1d Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 14 Oct 2023 10:31:20 +0200 Subject: [PATCH 089/142] Fix shader generator script Windows compatibility Co-authored-by: Concedo <39025047+LostRuins@users.noreply.github.com> --- ggml_vk_generate_shaders.py | 61 +++++++++++++++++++++++-------------- 1 file changed, 38 insertions(+), 23 deletions(-) diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index 7289bf028a9aa..866dd488912af 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -1,5 +1,6 @@ #!/usr/bin/env python +import argparse import asyncio import os import sys @@ -769,6 +770,7 @@ } """ +GLSLC = "glslc" VK_NUM_TYPES = 16 @@ -809,41 +811,44 @@ async def string_to_spv_file(name, code, defines, fp16): - with NamedTemporaryFile(mode="w") as f: - f.write(code) - f.flush() + f = NamedTemporaryFile(mode="w", delete=False) + f.write(code) + f.flush() - cmd = ["glslc", "-fshader-stage=compute", "--target-env=vulkan1.2", "-O", f.name, "-o", os.path.join("vk_shaders", f"{name}{'_fp32' if not fp16 else ''}.comp")] + cmd = [GLSLC, "-fshader-stage=compute", "--target-env=vulkan1.2", "-O", f.name, "-o", os.path.join("vk_shaders", f"{name}{'_fp32' if not fp16 else ''}.comp")] + cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) + + proc = await asyncio.create_subprocess_exec(*cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE) + + stdout, stderr = await proc.communicate() + + stdout = stdout.decode() + error = stderr.decode() + + if proc.returncode: + # Generate preprocessed code + cmd = [GLSLC, "-E", f.name] cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) proc = await asyncio.create_subprocess_exec(*cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE) stdout, stderr = await proc.communicate() - stdout = stdout.decode() - error = stderr.decode() + print(" ".join(cmd)) if proc.returncode: - # Generate preprocessed code - cmd = ["glslc", "-E", f.name] - cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) - - proc = await asyncio.create_subprocess_exec(*cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE) - - stdout, stderr = await proc.communicate() + raise RuntimeError(f"{name=} {f.name=} {stdout=} {stderr=}") - print(" ".join(cmd)) + preprocessed_code = stdout.decode() - if proc.returncode: - raise RuntimeError(f"{name=} {f.name=} {stdout=} {stderr=}") - - preprocessed_code = stdout.decode() + cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) + code_with_lines = "\n".join([f"{i}: {line}" for i, line in enumerate(preprocessed_code.splitlines())]) + print(f"ERROR compiling {name}\n\n{code_with_lines}\n\n{error=}") + os.remove(f.name) + sys.exit(proc.returncode) - cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) - code_with_lines = "\n".join([f"{i}: {line}" for i, line in enumerate(preprocessed_code.splitlines())]) - print(f"ERROR compiling {name}\n\n{code_with_lines}\n\n{error=}") - sys.exit(proc.returncode) + os.remove(f.name) async def main(): @@ -963,4 +968,14 @@ async def main(): await asyncio.gather(*tasks) -asyncio.run(main()) +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="GGML Vulkan Shader Generator") + + parser.add_argument("--glslc", help="Path to glslc") + + args = parser.parse_args() + + if args.glslc: + GLSLC = args.glslc + + asyncio.run(main()) From bd054470b916ec73c5617614a1e754fa18739686 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 14 Oct 2023 10:49:45 +0200 Subject: [PATCH 090/142] Close file before deletion --- ggml_vk_generate_shaders.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index 866dd488912af..8078a5d4aa8d4 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -845,9 +845,11 @@ async def string_to_spv_file(name, code, defines, fp16): cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) code_with_lines = "\n".join([f"{i}: {line}" for i, line in enumerate(preprocessed_code.splitlines())]) print(f"ERROR compiling {name}\n\n{code_with_lines}\n\n{error=}") + f.close() os.remove(f.name) sys.exit(proc.returncode) + f.close() os.remove(f.name) From e90a6515dd1a046c5f67ab3a3e754412e1aaf67d Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 14 Oct 2023 11:23:44 +0200 Subject: [PATCH 091/142] Fix vulkan shader fp32 name --- ggml-vulkan.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index c0ef5dd684cbd..32a10f5302257 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -306,7 +306,7 @@ static vk_pipeline ggml_vk_create_pipeline_from_file(const std::string& name, co std::cerr << "ggml_vk_create_pipeline_from_file(" << path << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; #endif - const std::string path = "vk_shaders/" + name + (vk_device.fp16 ? "" : "_f32") + ".comp"; + const std::string path = "vk_shaders/" + name + (vk_device.fp16 ? "" : "_fp32") + ".comp"; std::vector matmul_shader_contents; if (std::ifstream shader_file{ path, std::ios::binary | std::ios::ate }) { From a861879256432f189eb19a5f93f350cf71b6f03b Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 15 Oct 2023 14:16:05 +0200 Subject: [PATCH 092/142] Add q2_k and q3_k support Add validation check to compare shader results to cpu results --- Makefile | 8 +- ggml-vulkan.cpp | 338 +++++++++++++++++++++++++++++------- ggml-vulkan.h | 4 + ggml.c | 5 + ggml_vk_generate_shaders.py | 291 +++++++++++++++++++++++++++++-- 5 files changed, 575 insertions(+), 71 deletions(-) diff --git a/Makefile b/Makefile index d2b2d14c14f37..28bc17b75faf7 100644 --- a/Makefile +++ b/Makefile @@ -456,8 +456,14 @@ endif # LLAMA_CLBLAST ifdef LLAMA_VULKAN CFLAGS += -DGGML_USE_VULKAN CXXFLAGS += -DGGML_USE_VULKAN - LDFLAGS += -lvulkan + LDFLAGS += -lvulkan -lcblas OBJS += ggml-vulkan.o + +ifdef LLAMA_VULKAN_CHECK_RESULTS + CFLAGS += -DGGML_VULKAN_CHECK_RESULTS + CXXFLAGS += -DGGML_VULKAN_CHECK_RESULTS +endif + ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h $(CXX) $(CXXFLAGS) -c $< -o $@ endif # LLAMA_VULKAN diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 32a10f5302257..ce91da057e8b5 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -303,7 +303,7 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_s static vk_pipeline ggml_vk_create_pipeline_from_file(const std::string& name, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_create_pipeline_from_file(" << path << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; + std::cerr << "ggml_vk_create_pipeline_from_file(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; #endif const std::string path = "vk_shaders/" + name + (vk_device.fp16 ? "" : "_fp32") + ".comp"; @@ -663,6 +663,8 @@ static inline bool ggml_vk_build_shader(ggml_type type) { case GGML_TYPE_Q5_0: case GGML_TYPE_Q5_1: case GGML_TYPE_Q8_0: + case GGML_TYPE_Q2_K: + case GGML_TYPE_Q3_K: case GGML_TYPE_Q6_K: return true; default: @@ -681,25 +683,25 @@ static void ggml_vk_load_shaders() { auto warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline_from_file("matmul_f32_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline_from_file("matmul_f32_m", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline_from_file("matmul_f32_m", "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline_from_file("matmul_f32_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline_from_file("matmul_f32_aligned_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline_from_file("matmul_f32_aligned_m", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline_from_file("matmul_f32_aligned_m", "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline_from_file("matmul_f32_aligned_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline_from_file("matmul_f16_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline_from_file("matmul_f16_m", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline_from_file("matmul_f16_m", "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline_from_file("matmul_f16_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline_from_file("matmul_f16_aligned_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline_from_file("matmul_f16_aligned_m", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline_from_file("matmul_f16_aligned_m", "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline_from_file("matmul_f16_aligned_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline_from_file("matmul_f16_f32_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline_from_file("matmul_f16_f32_m", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline_from_file("matmul_f16_f32_m", "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline_from_file("matmul_f16_f32_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline_from_file("matmul_f16_f32_aligned_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline_from_file("matmul_f16_f32_aligned_m", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline_from_file("matmul_f16_f32_aligned_m", "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline_from_file("matmul_f16_f32_aligned_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); // Build dequant shaders @@ -737,7 +739,7 @@ static void ggml_vk_load_shaders() { void ggml_vk_test_transfer(size_t ne); void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); -void ggml_vk_test_buffer_write_zeropad(size_t m, size_t k, size_t align); +void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); void ggml_vk_init(void) { #ifdef VK_DEBUG @@ -894,10 +896,6 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; vk_fence = vk_device.device.createFence({}); #if defined(VK_CHK_KERNEL) - ggml_vk_test_buffer_write_zeropad(233, 97, 128); - ggml_vk_test_buffer_write_zeropad(233, 97, 1); - ggml_vk_test_buffer_write_zeropad(256, 128, 1); - int step = 16; for (size_t m = step; m < 64; m += step) { ggml_vk_test_transfer(1024 * 1024 * m); @@ -936,6 +934,14 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 1); ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 2); ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 2); + std::cerr << std::endl; + + ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 0); + ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 0); + ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 1); + ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 1); + ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 2); + ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 2); std::cerr << std::endl << std::endl; } #endif @@ -952,6 +958,8 @@ static inline vk_pipeline* ggml_vk_get_to_fp16(ggml_type type) { case GGML_TYPE_Q5_0: case GGML_TYPE_Q5_1: case GGML_TYPE_Q8_0: + case GGML_TYPE_Q2_K: + case GGML_TYPE_Q3_K: case GGML_TYPE_Q6_K: break; default: @@ -972,6 +980,8 @@ static inline vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type, bo case GGML_TYPE_Q5_0: case GGML_TYPE_Q5_1: case GGML_TYPE_Q8_0: + case GGML_TYPE_Q2_K: + case GGML_TYPE_Q3_K: case GGML_TYPE_Q6_K: break; default: @@ -2539,7 +2549,7 @@ void ggml_vk_build_graph(ggml_tensor * node){ } } -bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor){ +bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor){ const bool any_on_device = tensor->backend == GGML_BACKEND_GPU || (tensor->src[0] != nullptr && (tensor->src[0]->backend == GGML_BACKEND_GPU || tensor->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) || (tensor->src[1] != nullptr && tensor->src[1]->backend == GGML_BACKEND_GPU); @@ -2583,6 +2593,11 @@ bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_te return false; } + if (extra == nullptr) { + // Graph hasn't been prepared, fall back to CPU + return false; + } + if (params->ith != 0) { return true; } @@ -2590,7 +2605,9 @@ bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_te return true; } - GGML_ASSERT(extra); +#ifdef GGML_VULKAN_CHECK_RESULTS + ggml_vk_check_results_0(params, tensor); +#endif // Do staging buffer copies for (auto& cpy : extra->memcpys) { @@ -2630,6 +2647,162 @@ void ggml_vk_graph_cleanup() { vk_gc.extras.clear(); } +#ifdef GGML_VULKAN_CHECK_RESULTS +void * comp_result; +void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) { + if (params->ith != 0) { + return; + } + if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) { + return; + } + + ggml_tensor * src0 = tensor->src[0]; + ggml_tensor * src1 = tensor->src[1]; + + struct ggml_init_params iparams = { + .mem_size = 512*1024*1024, + .mem_buffer = NULL, + }; + + // memory allocation happens here + struct ggml_context * ctx = ggml_init(iparams); + + struct ggml_tensor * src0_clone = nullptr; + struct ggml_tensor * src1_clone = nullptr; + struct ggml_tensor * tensor_clone = nullptr; + + size_t src0_size; + size_t src1_size; + + if (src0 != nullptr) { + src0_clone = ggml_dup_tensor(ctx, src0); + + // Some tensors have wrong strides for some reason + src0_size = src0->nb[1] * src0->ne[1] * src0->ne[2] * src0->ne[3]; + + src0_clone->data = malloc(src0_size); + if (src0->backend == GGML_BACKEND_CPU) { + memcpy(src0_clone->data, src0->data, src0_size); + } else if (src0->backend == GGML_BACKEND_GPU) { + ggml_vk_buffer_read((vk_buffer *)src0->data, 0, src0_clone->data, src0_size, vk_device.transfer_queues[0]); + } else { + GGML_ASSERT(false); + } + + memcpy(src0_clone->nb, src0->nb, sizeof(size_t) * GGML_MAX_DIMS); + + for (size_t i = 0; i < 4; i++) { + GGML_ASSERT(src0_clone->ne[i] == src0->ne[i]); + GGML_ASSERT(src0_clone->nb[i] == src0->nb[i]); + } + } + if (src1 != nullptr) { + src1_clone = ggml_dup_tensor(ctx, src1); + + src1_size = src1->ne[3] * src1->nb[3]; + + src1_clone->data = malloc(src1_size); + if (src1->backend == GGML_BACKEND_CPU) { + memcpy(src1_clone->data, src1->data, src1_size); + } else if (src1->backend == GGML_BACKEND_GPU) { + ggml_vk_buffer_read((vk_buffer *)src1->data, 0, src1_clone->data, src1_size, vk_device.transfer_queues[0]); + } else { + GGML_ASSERT(false); + } + + memcpy(src1_clone->nb, src1->nb, sizeof(size_t) * GGML_MAX_DIMS); + + for (size_t i = 0; i < 4; i++) { + GGML_ASSERT(src1_clone->ne[i] == src1->ne[i]); + GGML_ASSERT(src1_clone->nb[i] == src1->nb[i]); + } + } + + if (tensor->op == GGML_OP_MUL_MAT) { + tensor_clone = ggml_mul_mat(ctx, src0_clone, src1_clone); + } else if (tensor->op == GGML_OP_MUL) { + tensor_clone = ggml_mul(ctx, src0_clone, src1_clone); + } else { + GGML_ASSERT(false); + } + + struct ggml_cgraph cgraph = ggml_build_forward(tensor_clone); + + ggml_graph_compute_with_ctx(ctx, &cgraph, 8); + + size_t tensor_size = tensor_clone->ne[3] * tensor_clone->nb[3]; + + comp_result = malloc(tensor_size); + memcpy(comp_result, tensor_clone->data, tensor_size); + + free(src0_clone->data); + free(src1_clone->data); + + ggml_free(ctx); +} + +void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) { + if (params->ith != 0) { + return; + } + if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) { + return; + } + + ggml_tensor * src0 = tensor->src[0]; + ggml_tensor * src1 = tensor->src[1]; + + double avg_err = 0.0f; + + for (int i3 = 0; i3 < tensor->ne[3]; i3++) { + for (int i2 = 0; i2 < tensor->ne[2]; i2++) { + for (int i1 = 0; i1 < tensor->ne[1]; i1++) { + for (int i0 = 0; i0 < tensor->ne[0]; i0++) { + if (tensor->type == GGML_TYPE_F32) { + float correct = *(float *) ((char *) comp_result + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); + float result = *(float *) ((char *) tensor->data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); + + if (std::isnan(correct) || std::isnan(result)) { + std::cerr << "ERROR: NaN value in " << ggml_op_name(tensor->op) << " i3=" << i3 << " i2=" << i2 << " i1=" << i1 << " i0=" << i0 << " result=" << result << " correct=" << correct << std::endl; + std::cerr << "tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << std::endl; + if (tensor->src[0] != nullptr) { + std::cerr << "src0 type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << std::endl; + } + if (tensor->src[1] != nullptr) { + std::cerr << "src1 type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << std::endl; + } + GGML_ASSERT(false); + } + + avg_err += std::fabs(correct - result); + } else { + GGML_ASSERT(false); + } + } + } + } + } + + avg_err /= tensor->ne[3] * tensor->ne[2] * tensor->ne[1] * tensor->ne[0]; + + if (avg_err > 1.0 || std::isnan(avg_err)) { + std::cerr << "ERROR: avg_err=" << avg_err << " in " << ggml_op_name(tensor->op) << std::endl; + std::cerr << "tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << std::endl; + if (tensor->src[0] != nullptr) { + std::cerr << "src0 type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << std::endl; + } + if (tensor->src[1] != nullptr) { + std::cerr << "src1 type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << std::endl; + } + GGML_ASSERT(false); + } + + free(comp_result); + comp_result = nullptr; +} +#endif + #ifdef VK_CHK_KERNEL void ggml_vk_test_transfer(size_t ne) { #ifdef VK_DEBUG @@ -2728,8 +2901,8 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp y[i] = rand() / (float)RAND_MAX; } - seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_X, 0, x, sizeof(float) * k, sizeof(float) * k, m, sizeof(float) * p->align, vk_device.transfer_queues[0], {}, {})); - seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_Y, 0, y, sizeof(float) * k, sizeof(float) * k, n, sizeof(float) * p->align, vk_device.transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(float) * k, sizeof(float) * k, m, vk_device.transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(float) * k, sizeof(float) * k, n, vk_device.transfer_queues[0], {}, {})); ggml_vk_submit(vk_device.transfer_queues[0], seq, VK_NULL_HANDLE); @@ -2840,8 +3013,8 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp y[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); } - seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, sizeof(ggml_fp16_t) * p->align, vk_device.transfer_queues[0], {}, {})); - seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_Y, 0, y, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, n, sizeof(ggml_fp16_t) * p->align, vk_device.transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, vk_device.transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, n, vk_device.transfer_queues[0], {}, {})); ggml_vk_submit(vk_device.transfer_queues[0], seq, VK_NULL_HANDLE); @@ -2906,72 +3079,119 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp free(d); } -void ggml_vk_test_buffer_write_zeropad(size_t m, size_t k, size_t align) { +void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_test_buffer_write_zeropad(" << m << ", " << k << ", " << align << ")" << std::endl; + std::cerr << "ggml_vk_test_matmul_f16(" << m << ", " << n << ", " << k << ", " << num_it << ", " << split_k << ", " << shader_size << ")" << std::endl; #endif + if (!vk_device.fp16) { + return; + } + const size_t x_ne = m * k; + const size_t y_ne = k * n; + const size_t d_ne = m * n; + std::vector seq; - const size_t kpad = ggml_vk_align_size(k, align); + vk_pipeline * p; + std::string shname; + if (shader_size == 0) { + p = &vk_pipeline_matmul_f16_f32_s; + shname = "F16_F32_S"; + } else if (shader_size == 1) { + p = &vk_pipeline_matmul_f16_f32_m; + shname = "F16_F32_M"; + } else if (shader_size == 2) { + p = &vk_pipeline_matmul_f16_f32_l; + shname = "F16_F32_L"; + } else { + GGML_ASSERT(0); + } + + const size_t kpad = ggml_vk_align_size(k, p->align); + + ggml_vk_pipeline_allocate_descriptor_sets(*p, num_it); + if (split_k > 1) { + ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); + } vk_buffer d_X; + vk_buffer d_Y; + vk_buffer d_D; ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * m, &d_X, {}); - vk_buffer d_X2; - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * k * m, &d_X2, {}); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * n, &d_Y, {}); + ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); - ggml_fp16_t* x = (ggml_fp16_t *) ggml_vk_host_malloc(sizeof(ggml_fp16_t) * m * k); + ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * x_ne); + float* y = (float *) malloc(sizeof(float) * y_ne); + float* d = (float *) malloc(sizeof(float) * d_ne); - for (size_t i = 0; i < m * k; i++) { + for (size_t i = 0; i < x_ne; i++) { x[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); } + for (size_t i = 0; i < y_ne; i++) { + y[i] = rand() / (float)RAND_MAX; + } - seq.push_back(ggml_vk_buffer_write_2d_async_zeropad(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, sizeof(ggml_fp16_t) * align, vk_device.transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, vk_device.transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(float) * k, sizeof(float) * k, n, vk_device.transfer_queues[0], {}, {})); ggml_vk_submit(vk_device.transfer_queues[0], seq, VK_NULL_HANDLE); - ggml_vk_buffer_write(&d_X2, 0, x, sizeof(ggml_fp16_t) * k * m, vk_device.transfer_queues[0]); - + // Wait for transfers to finish vk_device.transfer_queues[0].queue.waitIdle(); - ggml_fp16_t * x_chk = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * kpad * m); - ggml_fp16_t * x_chk2 = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * k * m); + auto begin = std::chrono::high_resolution_clock::now(); - ggml_vk_buffer_read(&d_X, 0, x_chk, sizeof(ggml_fp16_t) * kpad * m, vk_device.transfer_queues[0]); - ggml_vk_buffer_read(&d_X2, 0, x_chk2, sizeof(ggml_fp16_t) * k * m, vk_device.transfer_queues[0]); + for (size_t i = 0; i < num_it; i++) { + seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), m, n, k, kpad, kpad, m, split_k, vk_device.compute_queue, {}, {})); + } - double avg_err_async = 0.0; - double avg_err_sync = 0.0; + ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); - for (size_t kidx = 0; kidx < kpad; kidx++) { - for (size_t midx = 0; midx < m; midx++) { - if (kidx < k) { - const float err = std::fabs(ggml_fp16_to_fp32(x[midx * k + kidx]) - ggml_fp16_to_fp32(x_chk[midx * kpad + kidx])); - const float err2 = std::fabs(ggml_fp16_to_fp32(x[midx * k + kidx]) - ggml_fp16_to_fp32(x_chk2[midx * k + kidx])); - if (!std::isnan(err)) { - avg_err_async += err; - } - if (!std::isnan(err2)) { - avg_err_sync += err; - } + vk_device.compute_queue.queue.waitIdle(); - if (err > 0.01f) { - std::cerr << "midx=" << midx << " kidx=" << kidx << " x: " << ggml_fp16_to_fp32(x[midx * k + kidx]) << " x_chk: " << ggml_fp16_to_fp32(x_chk[midx * kpad + kidx]) << " x_chk2: " << ggml_fp16_to_fp32(x_chk2[midx * k + kidx]) << std::endl; - } - } else { - const float val = std::fabs(ggml_fp16_to_fp32(x_chk[midx * kpad + kidx])); - if (val > 0.01f) { - std::cerr << "ZEROPAD ERROR midx=" << midx << " kidx=" << kidx << " src0: 0.0 x_chkidx: " << val << std::endl; - GGML_ASSERT(false); - } - avg_err_async += val; - } + auto end = std::chrono::high_resolution_clock::now(); + + // copy dst to host + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queues[0]); + + float * fx = (float *) malloc(sizeof(float) * x_ne); + float * d_chk = (float *) malloc(sizeof(float) * d_ne); + + ggml_fp16_to_fp32_row(x, fx, x_ne); + + cblas_sgemm(CblasColMajor, CblasTrans, CblasNoTrans, + m, n, k, + 1.0f, fx, k, + y, k, + 0.0f, d_chk, m); + + double avg_err = 0.0; + + for (size_t r = 0; r < m; r++) { + for (size_t c = 0; c < n; c++) { + avg_err += std::fabs(d[c * m + r] - d_chk[c * m + r]); } } - std::cerr << "TEST BUFFER WRITE ZEROPAD m=" << m << " k=" << k << " align=" << align << " avg_err_async=" << avg_err_async / (kpad * m) << " avg_err_sync=" << avg_err_sync / (k * m) << std::endl; + std::cerr << "TEST " << shname << " m=" << m << " n=" << n << " k=" << k << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err / (m * n) << std::endl; + + free(fx); + free(d_chk); + + ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); + ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + ggml_vk_queue_cleanup(vk_device.compute_queue); - free(x_chk); - ggml_vk_host_free(x); ggml_vk_pool_free(d_X); + ggml_vk_pool_free(d_Y); + ggml_vk_pool_free(d_D); + + ggml_vk_pipeline_cleanup(*p); + ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); + + free(x); + free(y); + free(d); } #endif diff --git a/ggml-vulkan.h b/ggml-vulkan.h index e252141079fb7..61648ba3e4fb8 100644 --- a/ggml-vulkan.h +++ b/ggml-vulkan.h @@ -12,6 +12,10 @@ void ggml_vk_preallocate_buffers_graph(struct ggml_tensor * node); void ggml_vk_preallocate_buffers(void); void ggml_vk_build_graph(struct ggml_tensor * node); bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor); +#ifdef GGML_VULKAN_CHECK_RESULTS +void ggml_vk_check_results_0(struct ggml_compute_params * params, struct ggml_tensor * tensor); +void ggml_vk_check_results_1(struct ggml_compute_params * params, struct ggml_tensor * tensor); +#endif void ggml_vk_graph_cleanup(void); void * ggml_vk_host_malloc(size_t size); diff --git a/ggml.c b/ggml.c index b2b4cfacb501c..7091afd276e28 100644 --- a/ggml.c +++ b/ggml.c @@ -16615,6 +16615,11 @@ static void ggml_compute_forward(struct ggml_compute_params * params, struct ggm GGML_ASSERT(tensor->src[1] == NULL || tensor->src[1]->backend == GGML_BACKEND_CPU); #elif defined(GGML_USE_VULKAN) const bool skip_cpu = ggml_vk_compute_forward(params, tensor); +#ifdef GGML_VULKAN_CHECK_RESULTS + if (skip_cpu) { + ggml_vk_check_results_1(params, tensor); + } +#endif if (skip_cpu) { return; } diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index 8078a5d4aa8d4..b245515acdb5d 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -90,6 +90,32 @@ #define A_TYPE block_q8_0 """ +# K-quants +shader_q2_K_defines = """ +#define QUANT_K 256 + +struct block_q2_K +{ + uint8_t scales[QUANT_K/16]; + uint8_t qs[QUANT_K/4]; + f16vec2 d; +}; + +#define A_TYPE block_q2_K +""" +shader_q3_K_defines = """ +#define QUANT_K 256 + +struct block_q3_K +{ + uint8_t hmask[QUANT_K/8]; + uint8_t qs[QUANT_K/4]; + uint8_t scales[12]; + float16_t d; +}; + +#define A_TYPE block_q3_K +""" shader_q6_K_defines = """ #define QUANT_K 256 @@ -410,7 +436,6 @@ #extension GL_EXT_control_flow_attributes : require #extension GL_EXT_shader_16bit_storage : require -#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require """ dequant_body = """ @@ -436,7 +461,7 @@ if (row * QUANT_K >= p.K || col >= p.M) { return; - } + } const int stride_a = p.stride_a / QUANT_K; @@ -450,11 +475,99 @@ y[col * p.stride_b + row*QUANT_K + iqs + 0 ] = D_TYPE(v.x); y[col * p.stride_b + row*QUANT_K + iqs + y_offset] = D_TYPE(v.y); - } + } } """ # K-quants +dequant_q2_K_body = """ +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE x[];}; +layout (binding = 1) writeonly buffer D {D_TYPE y[];}; + +layout (push_constant) uniform parameter +{ + int M; + int K; + int stride_a; + int stride_b; +} p; + +void main() { + [[unroll]] for (int wgy = 0; wgy < 256; wgy++) { + const int i = int(gl_WorkGroupID.x * 256 + wgy); + if (i >= p.M * p.K / QUANT_K) { + return; + } + + const int tid = int(gl_LocalInvocationID.x); + const int ip = tid / 32; + const int il = tid - 32 * ip; + const int is = 8 * ip + il / 16; + + const int y_idx = i * QUANT_K + 128 * ip + il; + + const int ql_idx = 32 * ip + il; + const uint8_t qs = x[i].qs[32 * ip + il]; + + FLOAT_TYPE dall = FLOAT_TYPE(x[i].d.x); + FLOAT_TYPE dmin = FLOAT_TYPE(x[i].d.y); + y[y_idx + 0] = D_TYPE(dall * FLOAT_TYPE((x[i].scales[is+0] & 0xF) * ((qs >> 0) & 3)) - dmin * FLOAT_TYPE(x[i].scales[is+0] >> 4)); + y[y_idx + 32] = D_TYPE(dall * FLOAT_TYPE((x[i].scales[is+2] & 0xF) * ((qs >> 2) & 3)) - dmin * FLOAT_TYPE(x[i].scales[is+2] >> 4)); + y[y_idx + 64] = D_TYPE(dall * FLOAT_TYPE((x[i].scales[is+4] & 0xF) * ((qs >> 4) & 3)) - dmin * FLOAT_TYPE(x[i].scales[is+4] >> 4)); + y[y_idx + 96] = D_TYPE(dall * FLOAT_TYPE((x[i].scales[is+6] & 0xF) * ((qs >> 6) & 3)) - dmin * FLOAT_TYPE(x[i].scales[is+6] >> 4)); + } +} +""" +dequant_q3_K_body = """ +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE x[];}; +layout (binding = 1) writeonly buffer D {D_TYPE y[];}; + +layout (push_constant) uniform parameter +{ + int M; + int K; + int stride_a; + int stride_b; +} p; + +void main() { + [[unroll]] for (int wgy = 0; wgy < 256; wgy++) { + const int i = int(gl_WorkGroupID.x * 256 + wgy); + if (i >= p.M * p.K / QUANT_K) { + return; + } + + const int r = int(gl_LocalInvocationID.x) / 4; + const int tid = r / 2; + const int is0 = r % 2; + const int l0 = 16 * is0 + 4 * (int(gl_LocalInvocationID.x) % 4); + const int n = tid / 4; + const int j = tid - 4*n; + + const uint8_t m = uint8_t(1 << (4*n + j)); + const int is = 8*n + 2*j + is0; + const int shift = 2*j; + + const int8_t us = int8_t(is < 4 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+8] >> 0) & 3) << 4) : + is < 8 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+4] >> 2) & 3) << 4) : + is < 12 ? (x[i].scales[is-8] >> 4) | (((x[i].scales[is+0] >> 4) & 3) << 4) : + (x[i].scales[is-8] >> 4) | (((x[i].scales[is-4] >> 6) & 3) << 4)); + const FLOAT_TYPE d_all = FLOAT_TYPE(x[i].d); + const FLOAT_TYPE dl = d_all * FLOAT_TYPE(us - 32); + + const int y_idx = i * QUANT_K + 128 * n + 32 * j; + const int qs_idx = 32*n; + + for (int l = l0; l < l0 + 4; ++l) { + y[y_idx + l] = D_TYPE(dl * FLOAT_TYPE(int8_t((x[i].qs[qs_idx + l] >> shift) & 3) - (((x[i].hmask[l] & m) != 0) ? 0 : 4))); + } + } +} +""" dequant_q6_K_body = """ layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; @@ -470,11 +583,11 @@ } p; void main() { - for (int wgy = 0; wgy < 256; wgy++) { + [[unroll]] for (int wgy = 0; wgy < 256; wgy++) { const int i = int(gl_WorkGroupID.x * 256 + wgy); if (i >= p.M * p.K / QUANT_K) { return; - } + } const int tid = int(gl_LocalInvocationID.x); const int ip = tid / 32; const int il = tid - 32 * ip; @@ -491,7 +604,7 @@ y[y_idx + 32] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 2] * (int8_t((x[i].ql[ql_idx + 32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32))); y[y_idx + 64] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 4] * (int8_t((x[i].ql[ql_idx + 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32))); y[y_idx + 96] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 6] * (int8_t((x[i].ql[ql_idx + 32] >> 4) | (((qh >> 6) & 3) << 4)) - 32))); - } + } } """ @@ -553,6 +666,154 @@ } """ +# K-quants +mul_mat_vec_q2_K_body = """ +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE x[];}; +layout (binding = 1) readonly buffer B {B_TYPE y[];}; +layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; + +layout (push_constant) uniform parameter +{ + int ncols; +} p; + +shared FLOAT_TYPE tmp[32]; + +void main() { + const int row = int(gl_WorkGroupID.x); + + const int num_blocks_per_row = p.ncols / QUANT_K; + const int ib0 = row*num_blocks_per_row; + + const int tid = int(gl_LocalInvocationID.x)/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 + const int ix = int(gl_LocalInvocationID.x)%K_QUANTS_PER_ITERATION; // 0 or 0, 1 + + const int step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 + + const int v_im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... + const int v_in = tid - step*v_im; // 0...15 or 0...7 + + const int l0 = K_QUANTS_PER_ITERATION*v_in; // 0...15 + const int q_offset = 32*v_im + l0; + const int s_offset = 8*v_im; + const int y_offset = 128*v_im + l0; + + tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp + + [[unroll]] for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + const int y_idx = i * QUANT_K + y_offset; + + const FLOAT_TYPE dall = FLOAT_TYPE(x[ib0 + i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(x[ib0 + i].d.y); + + FLOAT_TYPE sum1 = FLOAT_TYPE(0.0); + FLOAT_TYPE sum2 = FLOAT_TYPE(0.0); + for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { + sum1 += FLOAT_TYPE(y[y_idx + l + 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l + 0] >> 0) & 3) + + FLOAT_TYPE(y[y_idx + l + 16]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 1] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l +16] >> 0) & 3) + + FLOAT_TYPE(y[y_idx + l + 32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l + 0] >> 2) & 3) + + FLOAT_TYPE(y[y_idx + l + 48]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 3] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l +16] >> 2) & 3) + + FLOAT_TYPE(y[y_idx + l + 64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l + 0] >> 4) & 3) + + FLOAT_TYPE(y[y_idx + l + 80]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 5] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l +16] >> 4) & 3) + + FLOAT_TYPE(y[y_idx + l + 96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l + 0] >> 6) & 3) + + FLOAT_TYPE(y[y_idx + l +112]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 7] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l +16] >> 6) & 3); + sum2 += FLOAT_TYPE(y[y_idx + l + 0]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 0] >> 4) & 0xF) + + FLOAT_TYPE(y[y_idx + l + 16]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 1] >> 4) & 0xF) + + FLOAT_TYPE(y[y_idx + l + 32]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 2] >> 4) & 0xF) + + FLOAT_TYPE(y[y_idx + l + 48]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 3] >> 4) & 0xF) + + FLOAT_TYPE(y[y_idx + l + 64]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 4] >> 4) & 0xF) + + FLOAT_TYPE(y[y_idx + l + 80]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 5] >> 4) & 0xF) + + FLOAT_TYPE(y[y_idx + l + 96]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 6] >> 4) & 0xF) + + FLOAT_TYPE(y[y_idx + l +112]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 7] >> 4) & 0xF); + } + tmp[16 * ix + tid] += dall * sum1 - dmin * sum2; + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = 16; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + dst[row] = D_TYPE(tmp[0]); + } +} +""" +mul_mat_vec_q3_K_body = """ +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE x[];}; +layout (binding = 1) readonly buffer B {B_TYPE y[];}; +layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; + +layout (push_constant) uniform parameter +{ + int ncols; +} p; + +shared FLOAT_TYPE tmp[32]; + +void main() { + const int row = int(gl_WorkGroupID.x); + + const int num_blocks_per_row = p.ncols / QUANT_K; + const int ib0 = row*num_blocks_per_row; + + const int tid = int(gl_LocalInvocationID.x)/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 + const int ix = int(gl_LocalInvocationID.x)%K_QUANTS_PER_ITERATION; // 0 or 0, 1 + + const int step = 16/K_QUANTS_PER_ITERATION; // 16 or 8 + + const int v_im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128... + const int v_in = tid - step*v_im; // 0...15 or 0...7 + + const uint8_t m = uint8_t(1 << (4 * v_im)); + + const int l0 = K_QUANTS_PER_ITERATION*v_in; // 0...15 + const int q_offset = 32*v_im + l0; + const int y_offset = 128*v_im + l0; + + tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp + + const uint s_shift = 4 * v_im; + + [[unroll]] for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + const int y_idx = i * QUANT_K + y_offset; + + const FLOAT_TYPE d = FLOAT_TYPE(x[ib0 + i].d); + + FLOAT_TYPE sum = FLOAT_TYPE(0.0); + for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { + sum += FLOAT_TYPE(y[y_idx + l + 0]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[0] >> s_shift) & 0xF) | ((x[ib0 + i].scales[ 8] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l ] ) & 3) - (((x[ib0 + i].hmask[l0 + l ] & (m << 0)) != 0) ? 0 : 4)) + + FLOAT_TYPE(y[y_idx + l + 32]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[2] >> s_shift) & 0xF) | ((x[ib0 + i].scales[10] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l ] >> 2) & 3) - (((x[ib0 + i].hmask[l0 + l ] & (m << 1)) != 0) ? 0 : 4)) + + FLOAT_TYPE(y[y_idx + l + 64]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[4] >> s_shift) & 0xF) | ((x[ib0 + i].scales[ 8] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l ] >> 4) & 3) - (((x[ib0 + i].hmask[l0 + l ] & (m << 2)) != 0) ? 0 : 4)) + + FLOAT_TYPE(y[y_idx + l + 96]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[6] >> s_shift) & 0xF) | ((x[ib0 + i].scales[10] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l ] >> 6) & 3) - (((x[ib0 + i].hmask[l0 + l ] & (m << 3)) != 0) ? 0 : 4)) + + FLOAT_TYPE(y[y_idx + l + 16]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[1] >> s_shift) & 0xF) | ((x[ib0 + i].scales[ 9] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l+16] ) & 3) - (((x[ib0 + i].hmask[l0 + l+16] & (m << 0)) != 0) ? 0 : 4)) + + FLOAT_TYPE(y[y_idx + l + 48]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[3] >> s_shift) & 0xF) | ((x[ib0 + i].scales[11] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l+16] >> 2) & 3) - (((x[ib0 + i].hmask[l0 + l+16] & (m << 1)) != 0) ? 0 : 4)) + + FLOAT_TYPE(y[y_idx + l + 80]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[5] >> s_shift) & 0xF) | ((x[ib0 + i].scales[ 9] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l+16] >> 4) & 3) - (((x[ib0 + i].hmask[l0 + l+16] & (m << 2)) != 0) ? 0 : 4)) + + FLOAT_TYPE(y[y_idx + l +112]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[7] >> s_shift) & 0xF) | ((x[ib0 + i].scales[11] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l+16] >> 6) & 3) - (((x[ib0 + i].hmask[l0 + l+16] & (m << 3)) != 0) ? 0 : 4)); + } + tmp[16 * ix + tid] += d * sum; + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = 16; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + dst[row] = D_TYPE(tmp[0]); + } +} +""" mul_mat_vec_q6_K_body = """ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; @@ -596,7 +857,7 @@ tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp - for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + [[unroll]] for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { const int y_idx = i * QUANT_K + y_offset; const FLOAT_TYPE d = FLOAT_TYPE(x[ib0 + i].d); @@ -618,10 +879,10 @@ + FLOAT_TYPE(y[y_idx + l+32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) + FLOAT_TYPE(y[y_idx + l+64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32) + FLOAT_TYPE(y[y_idx + l+96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32); - } + } tmp[16 * ix + tid] += sum; #endif - } + } // sum up partial sums and write back result barrier(); @@ -843,8 +1104,8 @@ async def string_to_spv_file(name, code, defines, fp16): preprocessed_code = stdout.decode() cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) - code_with_lines = "\n".join([f"{i}: {line}" for i, line in enumerate(preprocessed_code.splitlines())]) - print(f"ERROR compiling {name}\n\n{code_with_lines}\n\n{error=}") + code_with_lines = "\n".join([f"{i + 1}: {line}" for i, line in enumerate(preprocessed_code.splitlines())]) + print(f"ERROR compiling {name}\n\n{code_with_lines}\n\n{error}") f.close() os.remove(f.name) sys.exit(proc.returncode) @@ -919,6 +1180,10 @@ async def main(): stream.extend((shader_q5_1_defines, shader_q5_1_dequant_func_compat if not fp16 else shader_q5_1_dequant_func, dequant_body)) elif i == GGML_TYPE_Q8_0: stream.extend((shader_q8_0_defines, shader_q8_0_dequant_func_compat if not fp16 else shader_q8_0_dequant_func, dequant_body)) + elif i == GGML_TYPE_Q2_K: + stream.extend((shader_q2_K_defines, dequant_q2_K_body)) + elif i == GGML_TYPE_Q3_K: + stream.extend((shader_q3_K_defines, dequant_q3_K_body)) elif i == GGML_TYPE_Q6_K: stream.extend((shader_q6_K_defines, dequant_q6_K_body)) else: @@ -943,6 +1208,10 @@ async def main(): stream.extend((shader_q5_1_defines, shader_q5_1_dequant_func_compat if not fp16 else shader_q5_1_dequant_func, mul_mat_vec_body)) elif i == GGML_TYPE_Q8_0: stream.extend((shader_q8_0_defines, shader_q8_0_dequant_func_compat if not fp16 else shader_q8_0_dequant_func, mul_mat_vec_body)) + elif i == GGML_TYPE_Q2_K: + stream.extend((shader_q2_K_defines, mul_mat_vec_q2_K_body)) + elif i == GGML_TYPE_Q3_K: + stream.extend((shader_q3_K_defines, mul_mat_vec_q3_K_body)) elif i == GGML_TYPE_Q6_K: stream.extend((shader_q6_K_defines, mul_mat_vec_q6_K_body)) else: From 4a97d2d1ece11b07d3a598bd24ef599a6fb91b9e Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 20 Oct 2023 17:53:28 +0200 Subject: [PATCH 093/142] Add q4_k support --- ggml-vulkan.cpp | 3 + ggml_vk_generate_shaders.py | 199 +++++++++++++++++++++++++++++++++++- 2 files changed, 201 insertions(+), 1 deletion(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index ce91da057e8b5..781cb0731074f 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -665,6 +665,7 @@ static inline bool ggml_vk_build_shader(ggml_type type) { case GGML_TYPE_Q8_0: case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: + case GGML_TYPE_Q4_K: case GGML_TYPE_Q6_K: return true; default: @@ -960,6 +961,7 @@ static inline vk_pipeline* ggml_vk_get_to_fp16(ggml_type type) { case GGML_TYPE_Q8_0: case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: + case GGML_TYPE_Q4_K: case GGML_TYPE_Q6_K: break; default: @@ -982,6 +984,7 @@ static inline vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type, bo case GGML_TYPE_Q8_0: case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: + case GGML_TYPE_Q4_K: case GGML_TYPE_Q6_K: break; default: diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index b245515acdb5d..c888dc6f79d50 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -116,6 +116,18 @@ #define A_TYPE block_q3_K """ +shader_q4_K_defines = """ +#define QUANT_K 256 + +struct block_q4_K +{ + f16vec2 d; + uint8_t scales[3*QUANT_K/64]; + uint8_t qs[QUANT_K/2]; +}; + +#define A_TYPE block_q4_K +""" shader_q6_K_defines = """ #define QUANT_K 256 @@ -568,6 +580,68 @@ } } """ +dequant_q4_K_body = """ +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE x[];}; +layout (binding = 1) writeonly buffer D {D_TYPE y[];}; + +layout (push_constant) uniform parameter +{ + int M; + int K; + int stride_a; + int stride_b; +} p; + +void main() { + [[unroll]] for (int wgy = 0; wgy < 256; wgy++) { + const int i = int(gl_WorkGroupID.x * 256 + wgy); + if (i >= p.M * p.K / QUANT_K) { + return; + } + + const int tid = int(gl_LocalInvocationID.x); + const int il = tid / 8; + const int ir = tid % 8; + const int is = 2 * il; + const int n = 4; + + const FLOAT_TYPE dall = FLOAT_TYPE(x[i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(x[i].d.y); + + const int y_idx = i * QUANT_K + 64 * il + n * ir; + const int qs_idx = 32*il + n * ir; + + uint8_t sc; + uint8_t m; + if (is < 4) { + sc = uint8_t(x[i].scales[is] & 63); + m = uint8_t(x[i].scales[is + 4] & 63); + } else { + sc = uint8_t((x[i].scales[is + 4] & 0xF) | ((x[i].scales[is - 4] >> 6) << 4)); + m = uint8_t((x[i].scales[is + 4] >> 4) | ((x[i].scales[is ] >> 6) << 4)); + } + const FLOAT_TYPE d1 = dall * sc; + const FLOAT_TYPE m1 = dmin * m; + + if (is < 4) { + sc = uint8_t(x[i].scales[is + 1] & 63); + m = uint8_t(x[i].scales[is + 5] & 63); + } else { + sc = uint8_t((x[i].scales[is + 5] & 0xF) | ((x[i].scales[is - 3] >> 6) << 4)); + m = uint8_t((x[i].scales[is + 5] >> 4) | ((x[i].scales[is + 1] >> 6) << 4)); + } + const FLOAT_TYPE d2 = dall * sc; + const FLOAT_TYPE m2 = dmin * m; + + for (int l = 0; l < n; ++l) { + y[y_idx + l ] = D_TYPE(d1 * FLOAT_TYPE(x[i].qs[qs_idx + l] & 0xF) - m1); + y[y_idx + l + 32] = D_TYPE(d2 * FLOAT_TYPE(x[i].qs[qs_idx + l] >> 4) - m2); + } + } +} +""" dequant_q6_K_body = """ layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; @@ -814,6 +888,125 @@ } } """ +mul_mat_vec_q4_K_body = """ +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE x[];}; +layout (binding = 1) readonly buffer B {B_TYPE y[];}; +layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; + +layout (push_constant) uniform parameter +{ + int ncols; +} p; + +shared FLOAT_TYPE tmp[32]; + +void main() { + const int row = int(gl_WorkGroupID.x); + + const int num_blocks_per_row = p.ncols / QUANT_K; + const int ib0 = row*num_blocks_per_row; + + const int tid = int(gl_LocalInvocationID.x)/K_QUANTS_PER_ITERATION; // 0...31 or 0...16 + const int ix = int(gl_LocalInvocationID.x)%K_QUANTS_PER_ITERATION; // 0 or 0, 1 + + const int step = 8/K_QUANTS_PER_ITERATION; // 8 or 4 + + const int il = tid/step; // 0...3 + const int ir = tid - step*il; // 0...7 or 0...3 + const int n = 2 * K_QUANTS_PER_ITERATION; // 2 or 4 + + const int v_im = il / 2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224 + const int v_in = il % 2; + + const int l0 = n * (2 * ir + v_in); // 0...15 + const int q_offset = 32*v_im + l0; + const int y_offset = 64*v_im + l0; + + tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp + + [[unroll]] for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { + const int y1_idx = i * QUANT_K + y_offset; + const int y2_idx = y1_idx + 128; + + const FLOAT_TYPE dall = FLOAT_TYPE(x[ib0 + i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(x[ib0 + i].d.y); + + const uint8_t sc0 = uint8_t( x[ib0 + i].scales[v_im * 2 ] & 0x3f); + const uint8_t sc1 = uint8_t( x[ib0 + i].scales[v_im * 2 + 1] & 0x3f); + const uint8_t sc2 = uint8_t( x[ib0 + i].scales[v_im * 2 + 4] & 0x3f); + const uint8_t sc3 = uint8_t( x[ib0 + i].scales[v_im * 2 + 5] & 0x3f); + const uint8_t sc4 = uint8_t(( x[ib0 + i].scales[v_im * 2 + 8] & 0x0f) | ((x[ib0 + i].scales[v_im * 2 ] & 0xc0) >> 2)); + const uint8_t sc5 = uint8_t(( x[ib0 + i].scales[v_im * 2 + 9] & 0x0f) | ((x[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2)); + const uint8_t sc6 = uint8_t(((x[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((x[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2)); + const uint8_t sc7 = uint8_t(((x[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((x[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2)); + +#if K_QUANTS_PER_ITERATION == 2 + const uint8_t q4_0 = uint8_t(x[ib0 + i].qs[q_offset ] & 0xf); + const uint8_t q4_1 = uint8_t(x[ib0 + i].qs[q_offset + 1] & 0xf); + const uint8_t q4_2 = uint8_t(x[ib0 + i].qs[q_offset + 2] & 0xf); + const uint8_t q4_3 = uint8_t(x[ib0 + i].qs[q_offset + 3] & 0xf); + const uint8_t q4_4 = uint8_t(x[ib0 + i].qs[q_offset ] >> 4); + const uint8_t q4_5 = uint8_t(x[ib0 + i].qs[q_offset + 1] >> 4); + const uint8_t q4_6 = uint8_t(x[ib0 + i].qs[q_offset + 2] >> 4); + const uint8_t q4_7 = uint8_t(x[ib0 + i].qs[q_offset + 3] >> 4); + const uint8_t q4_8 = uint8_t(x[ib0 + i].qs[q_offset + 64] & 0xf); + const uint8_t q4_9 = uint8_t(x[ib0 + i].qs[q_offset + 65] & 0xf); + const uint8_t q4_10 = uint8_t(x[ib0 + i].qs[q_offset + 66] & 0xf); + const uint8_t q4_11 = uint8_t(x[ib0 + i].qs[q_offset + 67] & 0xf); + const uint8_t q4_12 = uint8_t(x[ib0 + i].qs[q_offset + 64] >> 4); + const uint8_t q4_13 = uint8_t(x[ib0 + i].qs[q_offset + 65] >> 4); + const uint8_t q4_14 = uint8_t(x[ib0 + i].qs[q_offset + 66] >> 4); + const uint8_t q4_15 = uint8_t(x[ib0 + i].qs[q_offset + 67] >> 4); + + const FLOAT_TYPE sx = FLOAT_TYPE(y[y1_idx] * q4_0 + y[y1_idx + 1] * q4_1 + y[y1_idx + 2] * q4_2 + y[y1_idx + 3] * q4_3); + const FLOAT_TYPE sy = FLOAT_TYPE(y[y1_idx + 32] * q4_4 + y[y1_idx + 33] * q4_5 + y[y1_idx + 34] * q4_6 + y[y1_idx + 35] * q4_7); + const FLOAT_TYPE sz = FLOAT_TYPE(y[y2_idx] * q4_8 + y[y2_idx + 1] * q4_9 + y[y2_idx + 2] * q4_10 + y[y2_idx + 3] * q4_11); + const FLOAT_TYPE sw = FLOAT_TYPE(y[y2_idx + 32] * q4_12 + y[y2_idx + 33] * q4_13 + y[y2_idx + 34] * q4_14 + y[y2_idx + 35] * q4_15); + const FLOAT_TYPE smin = FLOAT_TYPE( + y[y1_idx ] * sc2 + y[y1_idx + 32] * sc3 + y[y2_idx ] * sc6 + y[y2_idx + 32] * sc7 + + y[y1_idx + 1] * sc2 + y[y1_idx + 33] * sc3 + y[y2_idx + 1] * sc6 + y[y2_idx + 33] * sc7 + + y[y1_idx + 2] * sc2 + y[y1_idx + 34] * sc3 + y[y2_idx + 2] * sc6 + y[y2_idx + 34] * sc7 + + y[y1_idx + 3] * sc2 + y[y1_idx + 35] * sc3 + y[y2_idx + 3] * sc6 + y[y2_idx + 35] * sc7 + ); + tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin); +#else + const uint8_t q4_0 = uint8_t(x[ib0 + i].qs[q_offset ] & 0xf); + const uint8_t q4_1 = uint8_t(x[ib0 + i].qs[q_offset + 1] & 0xf); + const uint8_t q4_2 = uint8_t(x[ib0 + i].qs[q_offset ] >> 4); + const uint8_t q4_3 = uint8_t(x[ib0 + i].qs[q_offset + 1] >> 4); + const uint8_t q4_4 = uint8_t(x[ib0 + i].qs[q_offset + 64] & 0xf); + const uint8_t q4_5 = uint8_t(x[ib0 + i].qs[q_offset + 65] & 0xf); + const uint8_t q4_6 = uint8_t(x[ib0 + i].qs[q_offset + 64] >> 4); + const uint8_t q4_7 = uint8_t(x[ib0 + i].qs[q_offset + 65] >> 4); + + const FLOAT_TYPE sx = FLOAT_TYPE(y[y1_idx] * q4_0 + y[y1_idx + 1] * q4_1); + const FLOAT_TYPE sy = FLOAT_TYPE(y[y1_idx + 32] * q4_2 + y[y1_idx + 33] * q4_3); + const FLOAT_TYPE sz = FLOAT_TYPE(y[y2_idx] * q4_4 + y[y2_idx + 1] * q4_5); + const FLOAT_TYPE sw = FLOAT_TYPE(y[y2_idx + 32] * q4_6 + y[y2_idx + 33] * q4_7); + const FLOAT_TYPE smin = FLOAT_TYPE( + y[y1_idx] * sc2 + y[y1_idx + 32] * sc3 + y[y2_idx] * sc6 + y[y2_idx + 32] * sc7 + + y[y1_idx + 1] * sc2 + y[y1_idx + 33] * sc3 + y[y2_idx + 1] * sc6 + y[y2_idx + 33] * sc7 + ); + + tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * FLOAT_TYPE(x[ib0 + i].scales[v_im] & 0x3f) + sy * FLOAT_TYPE(x[ib0 + i].scales[v_im + 1] & 0x3f) + sz * FLOAT_TYPE((x[ib0 + i].scales[v_im + 4] & 0x0f) | ((x[ib0 + i].scales[v_im] & 0xc0) >> 2)) + sw * FLOAT_TYPE((x[ib0 + i].scales[v_im + 5] & 0x0f) | ((x[ib0 + i].scales[v_im + 1] & 0xc0) >> 2))) - dmin * smin); +#endif + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = 16; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + dst[row] = D_TYPE(tmp[0]); + } +} +""" mul_mat_vec_q6_K_body = """ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; @@ -1068,7 +1261,7 @@ GGML_TYPE_Q8_K: "q8_K", } -K_QUANTS_PER_ITERATION = 1 +K_QUANTS_PER_ITERATION = 2 async def string_to_spv_file(name, code, defines, fp16): @@ -1184,6 +1377,8 @@ async def main(): stream.extend((shader_q2_K_defines, dequant_q2_K_body)) elif i == GGML_TYPE_Q3_K: stream.extend((shader_q3_K_defines, dequant_q3_K_body)) + elif i == GGML_TYPE_Q4_K: + stream.extend((shader_q4_K_defines, dequant_q4_K_body)) elif i == GGML_TYPE_Q6_K: stream.extend((shader_q6_K_defines, dequant_q6_K_body)) else: @@ -1212,6 +1407,8 @@ async def main(): stream.extend((shader_q2_K_defines, mul_mat_vec_q2_K_body)) elif i == GGML_TYPE_Q3_K: stream.extend((shader_q3_K_defines, mul_mat_vec_q3_K_body)) + elif i == GGML_TYPE_Q4_K: + stream.extend((shader_q4_K_defines, mul_mat_vec_q4_K_body)) elif i == GGML_TYPE_Q6_K: stream.extend((shader_q6_K_defines, mul_mat_vec_q6_K_body)) else: From 0ec595fe382c813ab4188269ca5385e87cd6f78b Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 20 Oct 2023 21:39:42 +0200 Subject: [PATCH 094/142] Add q5_k support --- ggml-vulkan.cpp | 5 +- ggml_vk_generate_shaders.py | 208 ++++++++++++++++++++++++++++++++++-- 2 files changed, 206 insertions(+), 7 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 781cb0731074f..1e2b2fd2feb32 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -666,6 +666,7 @@ static inline bool ggml_vk_build_shader(ggml_type type) { case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: case GGML_TYPE_Q4_K: + case GGML_TYPE_Q5_K: case GGML_TYPE_Q6_K: return true; default: @@ -962,6 +963,7 @@ static inline vk_pipeline* ggml_vk_get_to_fp16(ggml_type type) { case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: case GGML_TYPE_Q4_K: + case GGML_TYPE_Q5_K: case GGML_TYPE_Q6_K: break; default: @@ -985,6 +987,7 @@ static inline vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type, bo case GGML_TYPE_Q2_K: case GGML_TYPE_Q3_K: case GGML_TYPE_Q4_K: + case GGML_TYPE_Q5_K: case GGML_TYPE_Q6_K: break; default: @@ -2789,7 +2792,7 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) avg_err /= tensor->ne[3] * tensor->ne[2] * tensor->ne[1] * tensor->ne[0]; - if (avg_err > 1.0 || std::isnan(avg_err)) { + if (avg_err > 0.1 || std::isnan(avg_err)) { std::cerr << "ERROR: avg_err=" << avg_err << " in " << ggml_op_name(tensor->op) << std::endl; std::cerr << "tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << std::endl; if (tensor->src[0] != nullptr) { diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index c888dc6f79d50..a11d59694ea12 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -128,6 +128,19 @@ #define A_TYPE block_q4_K """ +shader_q5_K_defines = """ +#define QUANT_K 256 + +struct block_q5_K +{ + f16vec2 d; + uint8_t scales[12]; + uint8_t qh[QUANT_K/8]; + uint8_t qs[QUANT_K/2]; +}; + +#define A_TYPE block_q5_K +""" shader_q6_K_defines = """ #define QUANT_K 256 @@ -635,13 +648,77 @@ const FLOAT_TYPE d2 = dall * sc; const FLOAT_TYPE m2 = dmin * m; - for (int l = 0; l < n; ++l) { + [[unroll]] for (int l = 0; l < n; ++l) { y[y_idx + l ] = D_TYPE(d1 * FLOAT_TYPE(x[i].qs[qs_idx + l] & 0xF) - m1); y[y_idx + l + 32] = D_TYPE(d2 * FLOAT_TYPE(x[i].qs[qs_idx + l] >> 4) - m2); } } } """ +dequant_q5_K_body = """ +layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE x[];}; +layout (binding = 1) writeonly buffer D {D_TYPE y[];}; + +layout (push_constant) uniform parameter +{ + int M; + int K; + int stride_a; + int stride_b; +} p; + +void main() { + [[unroll]] for (int wgy = 0; wgy < 256; wgy++) { + const int i = int(gl_WorkGroupID.x * 256 + wgy); + if (i >= p.M * p.K / QUANT_K) { + return; + } + + const int tid = int(gl_LocalInvocationID.x); + const int il = tid / 16; + const int ir = tid % 16; + const int is = 2 * il; + + const FLOAT_TYPE dall = FLOAT_TYPE(x[i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(x[i].d.y); + + const int y_idx = i * QUANT_K + 64 * il + 2 * ir; + const int qs_idx = 32*il + 2 * ir; + const int qh_idx = 2 * ir; + + uint8_t sc; + uint8_t m; + if (is < 4) { + sc = uint8_t(x[i].scales[is] & 63); + m = uint8_t(x[i].scales[is + 4] & 63); + } else { + sc = uint8_t((x[i].scales[is + 4] & 0xF) | ((x[i].scales[is - 4] >> 6) << 4)); + m = uint8_t((x[i].scales[is + 4] >> 4) | ((x[i].scales[is ] >> 6) << 4)); + } + const FLOAT_TYPE d1 = dall * sc; + const FLOAT_TYPE m1 = dmin * m; + + if (is < 4) { + sc = uint8_t(x[i].scales[is + 1] & 63); + m = uint8_t(x[i].scales[is + 5] & 63); + } else { + sc = uint8_t((x[i].scales[is + 5] & 0xF) | ((x[i].scales[is - 3] >> 6) << 4)); + m = uint8_t((x[i].scales[is + 5] >> 4) | ((x[i].scales[is + 1] >> 6) << 4)); + } + const FLOAT_TYPE d2 = dall * sc; + const FLOAT_TYPE m2 = dmin * m; + + const uint8_t hm1 = uint8_t(1 << (2 * il )); + const uint8_t hm2 = uint8_t(1 << (2 * il + 1)); + y[y_idx ] = D_TYPE(d1 * FLOAT_TYPE((x[i].qs[qs_idx ] & 0xF) + (((x[i].qh[qh_idx ] & hm1) != 0) ? 16 : 0)) - m1); + y[y_idx + 1] = D_TYPE(d1 * FLOAT_TYPE((x[i].qs[qs_idx + 1] & 0xF) + (((x[i].qh[qh_idx + 1] & hm1) != 0) ? 16 : 0)) - m1); + y[y_idx + 32] = D_TYPE(d2 * FLOAT_TYPE((x[i].qs[qs_idx ] >> 4) + (((x[i].qh[qh_idx ] & hm2) != 0) ? 16 : 0)) - m2); + y[y_idx + 33] = D_TYPE(d2 * FLOAT_TYPE((x[i].qs[qs_idx + 1] >> 4) + (((x[i].qh[qh_idx + 1] & hm2) != 0) ? 16 : 0)) - m2); + } +} +""" dequant_q6_K_body = """ layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; @@ -981,10 +1058,10 @@ const uint8_t q4_6 = uint8_t(x[ib0 + i].qs[q_offset + 64] >> 4); const uint8_t q4_7 = uint8_t(x[ib0 + i].qs[q_offset + 65] >> 4); - const FLOAT_TYPE sx = FLOAT_TYPE(y[y1_idx] * q4_0 + y[y1_idx + 1] * q4_1); - const FLOAT_TYPE sy = FLOAT_TYPE(y[y1_idx + 32] * q4_2 + y[y1_idx + 33] * q4_3); - const FLOAT_TYPE sz = FLOAT_TYPE(y[y2_idx] * q4_4 + y[y2_idx + 1] * q4_5); - const FLOAT_TYPE sw = FLOAT_TYPE(y[y2_idx + 32] * q4_6 + y[y2_idx + 33] * q4_7); + const FLOAT_TYPE sx = FLOAT_TYPE(y[y1_idx ] * q4_0 + y[y1_idx + 1] * q4_1 + y[y1_idx + 2] * q4_2 + y[y1_idx + 3] * q4_3 ); + const FLOAT_TYPE sy = FLOAT_TYPE(y[y1_idx + 32] * q4_4 + y[y1_idx + 33] * q4_5 + y[y1_idx + 34] * q4_6 + y[y1_idx + 35] * q4_7 ); + const FLOAT_TYPE sz = FLOAT_TYPE(y[y2_idx ] * q4_8 + y[y2_idx + 1] * q4_9 + y[y2_idx + 2] * q4_10 + y[y2_idx + 3] * q4_11); + const FLOAT_TYPE sw = FLOAT_TYPE(y[y2_idx + 32] * q4_12 + y[y2_idx + 33] * q4_13 + y[y2_idx + 34] * q4_14 + y[y2_idx + 35] * q4_15); const FLOAT_TYPE smin = FLOAT_TYPE( y[y1_idx] * sc2 + y[y1_idx + 32] * sc3 + y[y2_idx] * sc6 + y[y2_idx + 32] * sc7 + y[y1_idx + 1] * sc2 + y[y1_idx + 33] * sc3 + y[y2_idx + 1] * sc6 + y[y2_idx + 33] * sc7 @@ -1007,6 +1084,121 @@ } } """ +mul_mat_vec_q5_K_body = """ +layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE x[];}; +layout (binding = 1) readonly buffer B {B_TYPE y[];}; +layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; + +layout (push_constant) uniform parameter +{ + int ncols; +} p; + +shared FLOAT_TYPE tmp[32]; + +void main() { + const int row = int(gl_WorkGroupID.x); + + const int num_blocks_per_row = p.ncols / QUANT_K; + const int ib0 = row*num_blocks_per_row; + + const int tid = int(gl_LocalInvocationID.x)/2; // 0...31 or 0...16 + const int ix = int(gl_LocalInvocationID.x)%2; // 0 or 0, 1 + + const int il = tid/4; // 0...3 + const int ir = tid - 4*il; // 0...7 or 0...3 + + const int v_im = il / 2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224 + const int v_in = il % 2; + + const int l0 = 4*ir + 2*v_in; // 0...15 + const int q_offset = 32*v_im + l0; + const int y_offset = 64*v_im + l0; + + const uint8_t hm1 = uint8_t(1 << (2*v_im)); + const uint8_t hm2 = uint8_t(hm1 << 4); + + tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp + + [[unroll]] for (int i = ix; i < num_blocks_per_row; i += 2) { + const int y1_idx = i * QUANT_K + y_offset; + const int y2_idx = y1_idx + 128; + + const FLOAT_TYPE dall = FLOAT_TYPE(x[ib0 + i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(x[ib0 + i].d.y); + + const uint8_t sc0 = uint8_t( x[ib0 + i].scales[v_im * 2 ] & 0x3f); + const uint8_t sc1 = uint8_t( x[ib0 + i].scales[v_im * 2 + 1] & 0x3f); + const uint8_t sc2 = uint8_t( x[ib0 + i].scales[v_im * 2 + 4] & 0x3f); + const uint8_t sc3 = uint8_t( x[ib0 + i].scales[v_im * 2 + 5] & 0x3f); + const uint8_t sc4 = uint8_t(( x[ib0 + i].scales[v_im * 2 + 8] & 0x0f) | ((x[ib0 + i].scales[v_im * 2 ] & 0xc0) >> 2)); + const uint8_t sc5 = uint8_t(( x[ib0 + i].scales[v_im * 2 + 9] & 0x0f) | ((x[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2)); + const uint8_t sc6 = uint8_t(((x[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((x[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2)); + const uint8_t sc7 = uint8_t(((x[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((x[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2)); + + const uint8_t q4_0 = uint8_t(x[ib0 + i].qs[q_offset ] & 0xf); + const uint8_t q4_1 = uint8_t(x[ib0 + i].qs[q_offset + 1] & 0xf); + const uint8_t q4_2 = uint8_t(x[ib0 + i].qs[q_offset + 16] & 0xf); + const uint8_t q4_3 = uint8_t(x[ib0 + i].qs[q_offset + 17] & 0xf); + const uint8_t q4_4 = uint8_t(x[ib0 + i].qs[q_offset ] >> 4); + const uint8_t q4_5 = uint8_t(x[ib0 + i].qs[q_offset + 1] >> 4); + const uint8_t q4_6 = uint8_t(x[ib0 + i].qs[q_offset + 16] >> 4); + const uint8_t q4_7 = uint8_t(x[ib0 + i].qs[q_offset + 17] >> 4); + const uint8_t q4_8 = uint8_t(x[ib0 + i].qs[q_offset + 64] & 0xf); + const uint8_t q4_9 = uint8_t(x[ib0 + i].qs[q_offset + 65] & 0xf); + const uint8_t q4_10 = uint8_t(x[ib0 + i].qs[q_offset + 80] & 0xf); + const uint8_t q4_11 = uint8_t(x[ib0 + i].qs[q_offset + 81] & 0xf); + const uint8_t q4_12 = uint8_t(x[ib0 + i].qs[q_offset + 64] >> 4); + const uint8_t q4_13 = uint8_t(x[ib0 + i].qs[q_offset + 65] >> 4); + const uint8_t q4_14 = uint8_t(x[ib0 + i].qs[q_offset + 80] >> 4); + const uint8_t q4_15 = uint8_t(x[ib0 + i].qs[q_offset + 81] >> 4); + + const FLOAT_TYPE sx = FLOAT_TYPE( + y[y1_idx ] * (q4_0 + (((x[ib0 + i].qh[l0 ] & hm1) != 0) ? 16 : 0)) + + y[y1_idx + 1] * (q4_1 + (((x[ib0 + i].qh[l0 + 1] & hm1) != 0) ? 16 : 0)) + + y[y1_idx + 16] * (q4_2 + (((x[ib0 + i].qh[l0 + 16] & hm1) != 0) ? 16 : 0)) + + y[y1_idx + 17] * (q4_3 + (((x[ib0 + i].qh[l0 + 17] & hm1) != 0) ? 16 : 0)) + ); + const FLOAT_TYPE sy = FLOAT_TYPE( + y[y1_idx + 32] * (q4_4 + (((x[ib0 + i].qh[l0 ] & (hm1 << 1)) != 0) ? 16 : 0)) + + y[y1_idx + 33] * (q4_5 + (((x[ib0 + i].qh[l0 + 1] & (hm1 << 1)) != 0) ? 16 : 0)) + + y[y1_idx + 48] * (q4_6 + (((x[ib0 + i].qh[l0 + 16] & (hm1 << 1)) != 0) ? 16 : 0)) + + y[y1_idx + 49] * (q4_7 + (((x[ib0 + i].qh[l0 + 17] & (hm1 << 1)) != 0) ? 16 : 0)) + ); + const FLOAT_TYPE sz = FLOAT_TYPE( + y[y2_idx ] * (q4_8 + (((x[ib0 + i].qh[l0 ] & hm2) != 0) ? 16 : 0)) + + y[y2_idx + 1] * (q4_9 + (((x[ib0 + i].qh[l0 + 1] & hm2) != 0) ? 16 : 0)) + + y[y2_idx + 16] * (q4_10 + (((x[ib0 + i].qh[l0 + 16] & hm2) != 0) ? 16 : 0)) + + y[y2_idx + 17] * (q4_11 + (((x[ib0 + i].qh[l0 + 17] & hm2) != 0) ? 16 : 0)) + ); + const FLOAT_TYPE sw = FLOAT_TYPE( + y[y2_idx + 32] * (q4_12 + (((x[ib0 + i].qh[l0 ] & (hm2 << 1)) != 0) ? 16 : 0)) + + y[y2_idx + 33] * (q4_13 + (((x[ib0 + i].qh[l0 + 1] & (hm2 << 1)) != 0) ? 16 : 0)) + + y[y2_idx + 48] * (q4_14 + (((x[ib0 + i].qh[l0 + 16] & (hm2 << 1)) != 0) ? 16 : 0)) + + y[y2_idx + 49] * (q4_15 + (((x[ib0 + i].qh[l0 + 17] & (hm2 << 1)) != 0) ? 16 : 0)) + ); + const FLOAT_TYPE smin = FLOAT_TYPE( + (y[y1_idx] + y[y1_idx + 1] + y[y1_idx + 16] + y[y1_idx + 17]) * sc2 + (y[y1_idx + 32] + y[y1_idx + 33] + y[y1_idx + 48] + y[y1_idx + 49]) * sc3 + + (y[y2_idx] + y[y2_idx + 1] + y[y2_idx + 16] + y[y2_idx + 17]) * sc6 + (y[y2_idx + 32] + y[y2_idx + 33] + y[y2_idx + 48] + y[y2_idx + 49]) * sc7 + ); + tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin); + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = 16; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + if (tid == 0) { + dst[row] = D_TYPE(tmp[0]); + } +} +""" mul_mat_vec_q6_K_body = """ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; @@ -1067,7 +1259,7 @@ tmp[16 * ix + tid] += sum; #else FLOAT_TYPE sum = FLOAT_TYPE(0.0); - for (int l = 0; l < 4; ++l) { + [[unroll]] for (int l = 0; l < 4; ++l) { sum += FLOAT_TYPE(y[y_idx + l+ 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32) + FLOAT_TYPE(y[y_idx + l+32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) + FLOAT_TYPE(y[y_idx + l+64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32) @@ -1379,6 +1571,8 @@ async def main(): stream.extend((shader_q3_K_defines, dequant_q3_K_body)) elif i == GGML_TYPE_Q4_K: stream.extend((shader_q4_K_defines, dequant_q4_K_body)) + elif i == GGML_TYPE_Q5_K: + stream.extend((shader_q5_K_defines, dequant_q5_K_body)) elif i == GGML_TYPE_Q6_K: stream.extend((shader_q6_K_defines, dequant_q6_K_body)) else: @@ -1409,6 +1603,8 @@ async def main(): stream.extend((shader_q3_K_defines, mul_mat_vec_q3_K_body)) elif i == GGML_TYPE_Q4_K: stream.extend((shader_q4_K_defines, mul_mat_vec_q4_K_body)) + elif i == GGML_TYPE_Q5_K: + stream.extend((shader_q5_K_defines, mul_mat_vec_q5_K_body)) elif i == GGML_TYPE_Q6_K: stream.extend((shader_q6_K_defines, mul_mat_vec_q6_K_body)) else: From 1b66b8b203bc38288ebb2010bbe6e3e6b01bcb61 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 20 Oct 2023 23:55:01 +0200 Subject: [PATCH 095/142] Bake SPIR-V bytecode into the library instead of loading shaders from file --- ggml-vulkan.cpp | 225 ++++++++++++++++++++++++------------ ggml_vk_generate_shaders.py | 100 ++++++++++------ 2 files changed, 214 insertions(+), 111 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 1e2b2fd2feb32..598b31319a834 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -32,6 +32,8 @@ #include "ggml.h" +#include "ggml-vulkan-shaders.hpp" + #define VK_API_VERSION VK_API_VERSION_1_2 #define CEIL_DIV(M, N) (((M) + (N)-1) / (N)) @@ -197,7 +199,7 @@ static std::vector vk_preallocated_buffer_sizes; static std::vector vk_preallocated_buffers; static vk::Fence vk_fence; -static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_size, const uint32_t* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { +static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_size, const void* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_pipeline(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; #endif @@ -212,7 +214,7 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_s pipeline.wg_denoms = wg_denoms; pipeline.align = align; - vk::ShaderModuleCreateInfo shader_module_create_info({}, spv_size, spv_data); + vk::ShaderModuleCreateInfo shader_module_create_info({}, spv_size, reinterpret_cast(spv_data)); vk::ShaderModule shader_module = vk_device.device.createShaderModule(shader_module_create_info); std::vector dsl_binding; @@ -301,27 +303,6 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_s return pipeline; } -static vk_pipeline ggml_vk_create_pipeline_from_file(const std::string& name, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_create_pipeline_from_file(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; -#endif - - const std::string path = "vk_shaders/" + name + (vk_device.fp16 ? "" : "_fp32") + ".comp"; - - std::vector matmul_shader_contents; - if (std::ifstream shader_file{ path, std::ios::binary | std::ios::ate }) { - const size_t file_size = shader_file.tellg(); - shader_file.seekg(0); - matmul_shader_contents.resize(file_size, '\0'); - shader_file.read(matmul_shader_contents.data(), file_size); - } else { - std::cerr << "ggml_vulkan: Invalid shader path " << path << std::endl; - abort(); - } - - return ggml_vk_create_pipeline(name, matmul_shader_contents.size(), reinterpret_cast(matmul_shader_contents.data()), entrypoint, parameter_count, push_constant_size, wg_denoms, std::move(specialization_constants), align); -} - static void ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline& pipeline, uint32_t n) { #ifdef VK_DEBUG std::cerr << "ggml_vk_pipeline_allocate_descriptor_sets(" << pipeline.name << ", " << n << ")" << std::endl; @@ -684,58 +665,149 @@ static void ggml_vk_load_shaders() { auto warptile_m = { 128, 64, 64, 16, 32, 32, 2, 4, 2 }; auto warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; - vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline_from_file("matmul_f32_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline_from_file("matmul_f32_m", "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline_from_file("matmul_f32_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline_from_file("matmul_f32_aligned_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline_from_file("matmul_f32_aligned_m", "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline_from_file("matmul_f32_aligned_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline_from_file("matmul_f16_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline_from_file("matmul_f16_m", "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline_from_file("matmul_f16_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline_from_file("matmul_f16_aligned_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline_from_file("matmul_f16_aligned_m", "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline_from_file("matmul_f16_aligned_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline_from_file("matmul_f16_f32_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline_from_file("matmul_f16_f32_m", "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline_from_file("matmul_f16_f32_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline_from_file("matmul_f16_f32_aligned_l", "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline_from_file("matmul_f16_f32_aligned_m", "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline_from_file("matmul_f16_f32_aligned_s", "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - // Build dequant shaders - vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline_from_file("f32_to_f16", "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); - - for (int i = 0; i < VK_NUM_TYPES; i++) { - if (!ggml_vk_build_shader((ggml_type)i)) { - continue; - } - const std::string name = "dequant_" + std::string(ggml_type_name((ggml_type)i)); - vk_pipeline_dequant[i] = ggml_vk_create_pipeline_from_file(name, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); - } - - // mul mat vec - for (int i = 0; i < VK_NUM_TYPES; i++) { - if (!ggml_vk_build_shader((ggml_type)i)) { - continue; - } - const std::string name = "mul_mat_vec_" + std::string(ggml_type_name((ggml_type)i)); - vk_pipeline_dequant_mul_mat_vec[i] = ggml_vk_create_pipeline_from_file(name, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[i] = ggml_vk_create_pipeline_from_file(name + "_f32", "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + if (vk_device.fp16) { + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_len, matmul_f32_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_len, matmul_f32_m_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_len, matmul_f32_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_len, matmul_f32_aligned_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_len, matmul_f32_aligned_m_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_len, matmul_f32_aligned_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_len, matmul_f16_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_len, matmul_f16_m_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_len, matmul_f16_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_len, matmul_f16_aligned_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_len, matmul_f16_aligned_m_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_len, matmul_f16_aligned_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_len, matmul_f16_f32_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_len, matmul_f16_f32_m_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_len, matmul_f16_f32_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_len, matmul_f16_f32_aligned_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_len, matmul_f16_f32_aligned_m_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_len, matmul_f16_f32_aligned_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + // Build dequant shaders + vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline("f32_to_f16", f32_to_f16_len, f32_to_f16_data, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); + + vk_pipeline_dequant[GGML_TYPE_F16] = ggml_vk_create_pipeline("dequant_f16", dequant_f16_len, dequant_f16_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("dequant_q4_0", dequant_q4_0_len, dequant_q4_0_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("dequant_q4_1", dequant_q4_1_len, dequant_q4_1_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("dequant_q5_0", dequant_q5_0_len, dequant_q5_0_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("dequant_q5_1", dequant_q5_1_len, dequant_q5_1_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("dequant_q8_0", dequant_q8_0_len, dequant_q8_0_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("dequant_q2_K", dequant_q2_K_len, dequant_q2_K_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("dequant_q3_K", dequant_q3_K_len, dequant_q3_K_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("dequant_q4_K", dequant_q4_K_len, dequant_q4_K_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("dequant_q5_K", dequant_q5_K_len, dequant_q5_K_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("dequant_q6_K", dequant_q6_K_len, dequant_q6_K_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16", mul_mat_vec_f16_len, mul_mat_vec_f16_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0", mul_mat_vec_q4_0_len, mul_mat_vec_q4_0_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1", mul_mat_vec_q4_1_len, mul_mat_vec_q4_1_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0", mul_mat_vec_q5_0_len, mul_mat_vec_q5_0_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1", mul_mat_vec_q5_1_len, mul_mat_vec_q5_1_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0", mul_mat_vec_q8_0_len, mul_mat_vec_q8_0_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K", mul_mat_vec_q2_K_len, mul_mat_vec_q2_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K", mul_mat_vec_q3_K_len, mul_mat_vec_q3_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K", mul_mat_vec_q4_K_len, mul_mat_vec_q4_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K", mul_mat_vec_q5_K_len, mul_mat_vec_q5_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K", mul_mat_vec_q6_K_len, mul_mat_vec_q6_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16_f32", mul_mat_vec_f16_f32_len, mul_mat_vec_f16_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0_f32", mul_mat_vec_q4_0_f32_len, mul_mat_vec_q4_0_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1_f32", mul_mat_vec_q4_1_f32_len, mul_mat_vec_q4_1_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0_f32", mul_mat_vec_q5_0_f32_len, mul_mat_vec_q5_0_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1_f32", mul_mat_vec_q5_1_f32_len, mul_mat_vec_q5_1_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0_f32", mul_mat_vec_q8_0_f32_len, mul_mat_vec_q8_0_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K_f32", mul_mat_vec_q2_K_f32_len, mul_mat_vec_q2_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K_f32", mul_mat_vec_q3_K_f32_len, mul_mat_vec_q3_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K_f32", mul_mat_vec_q4_K_f32_len, mul_mat_vec_q4_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K_f32", mul_mat_vec_q5_K_f32_len, mul_mat_vec_q5_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K_f32", mul_mat_vec_q6_K_f32_len, mul_mat_vec_q6_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + + // add + vk_pipeline_add_f32 = ggml_vk_create_pipeline("add_f32", add_f32_len, add_f32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline("add_f16_f32_f16", add_f16_f32_f16_len, add_f16_f32_f16_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + + // Static shaders + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); + vk_pipeline_mul_f32 = ggml_vk_create_pipeline("mul_f32", mul_f32_len, mul_f32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + + vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_len, scale_f32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + } else { + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_fp32_len, matmul_f32_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_fp32_len, matmul_f32_m_fp32_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_fp32_len, matmul_f32_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_fp32_len, matmul_f32_aligned_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_fp32_len, matmul_f32_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_fp32_len, matmul_f32_aligned_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_fp32_len, matmul_f16_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_fp32_len, matmul_f16_m_fp32_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_fp32_len, matmul_f16_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_fp32_len, matmul_f16_aligned_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_fp32_len, matmul_f16_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_fp32_len, matmul_f16_aligned_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_fp32_len, matmul_f16_f32_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_fp32_len, matmul_f16_f32_m_fp32_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_fp32_len, matmul_f16_f32_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_fp32_len, matmul_f16_f32_aligned_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_fp32_len, matmul_f16_f32_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_fp32_len, matmul_f16_f32_aligned_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + // Build dequant shaders + vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline("f32_to_f16", f32_to_f16_fp32_len, f32_to_f16_fp32_data, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); + + vk_pipeline_dequant[GGML_TYPE_F16] = ggml_vk_create_pipeline("dequant_f16", dequant_f16_fp32_len, dequant_f16_fp32_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("dequant_q4_0", dequant_q4_0_fp32_len, dequant_q4_0_fp32_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("dequant_q4_1", dequant_q4_1_fp32_len, dequant_q4_1_fp32_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("dequant_q5_0", dequant_q5_0_fp32_len, dequant_q5_0_fp32_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("dequant_q5_1", dequant_q5_1_fp32_len, dequant_q5_1_fp32_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("dequant_q8_0", dequant_q8_0_fp32_len, dequant_q8_0_fp32_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("dequant_q2_K", dequant_q2_K_fp32_len, dequant_q2_K_fp32_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("dequant_q3_K", dequant_q3_K_fp32_len, dequant_q3_K_fp32_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("dequant_q4_K", dequant_q4_K_fp32_len, dequant_q4_K_fp32_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("dequant_q5_K", dequant_q5_K_fp32_len, dequant_q5_K_fp32_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("dequant_q6_K", dequant_q6_K_fp32_len, dequant_q6_K_fp32_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16", mul_mat_vec_f16_fp32_len, mul_mat_vec_f16_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0", mul_mat_vec_q4_0_fp32_len, mul_mat_vec_q4_0_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1", mul_mat_vec_q4_1_fp32_len, mul_mat_vec_q4_1_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0", mul_mat_vec_q5_0_fp32_len, mul_mat_vec_q5_0_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1", mul_mat_vec_q5_1_fp32_len, mul_mat_vec_q5_1_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0", mul_mat_vec_q8_0_fp32_len, mul_mat_vec_q8_0_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K", mul_mat_vec_q2_K_fp32_len, mul_mat_vec_q2_K_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K", mul_mat_vec_q3_K_fp32_len, mul_mat_vec_q3_K_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K", mul_mat_vec_q4_K_fp32_len, mul_mat_vec_q4_K_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K", mul_mat_vec_q5_K_fp32_len, mul_mat_vec_q5_K_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K", mul_mat_vec_q6_K_fp32_len, mul_mat_vec_q6_K_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16_f32", mul_mat_vec_f16_f32_fp32_len, mul_mat_vec_f16_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0_f32", mul_mat_vec_q4_0_f32_fp32_len, mul_mat_vec_q4_0_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1_f32", mul_mat_vec_q4_1_f32_fp32_len, mul_mat_vec_q4_1_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0_f32", mul_mat_vec_q5_0_f32_fp32_len, mul_mat_vec_q5_0_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1_f32", mul_mat_vec_q5_1_f32_fp32_len, mul_mat_vec_q5_1_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0_f32", mul_mat_vec_q8_0_f32_fp32_len, mul_mat_vec_q8_0_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K_f32", mul_mat_vec_q2_K_f32_fp32_len, mul_mat_vec_q2_K_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K_f32", mul_mat_vec_q3_K_f32_fp32_len, mul_mat_vec_q3_K_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K_f32", mul_mat_vec_q4_K_f32_fp32_len, mul_mat_vec_q4_K_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K_f32", mul_mat_vec_q5_K_f32_fp32_len, mul_mat_vec_q5_K_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K_f32", mul_mat_vec_q6_K_f32_fp32_len, mul_mat_vec_q6_K_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + + // add + vk_pipeline_add_f32 = ggml_vk_create_pipeline("add_f32", add_f32_fp32_len, add_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline("add_f16_f32_f16", add_f16_f32_f16_fp32_len, add_f16_f32_f16_fp32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + + // Static shaders + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_fp32_len, split_k_reduce_fp32_data, "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); + vk_pipeline_mul_f32 = ggml_vk_create_pipeline("mul_f32", mul_f32_fp32_len, mul_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + + vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_fp32_len, scale_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); } - - // add - vk_pipeline_add_f32 = ggml_vk_create_pipeline_from_file("add_f32", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline_from_file("add_f16_f32_f16", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - - // Static shaders - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline_from_file("split_k_reduce", "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); - vk_pipeline_mul_f32 = ggml_vk_create_pipeline_from_file("mul_f32", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - - vk_pipeline_scale_f32 = ggml_vk_create_pipeline_from_file("scale_f32", "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); } void ggml_vk_test_transfer(size_t ne); @@ -1111,8 +1183,11 @@ void* ggml_vk_host_malloc(size_t size) { } void ggml_vk_host_free(void* ptr) { + if (ptr == nullptr) { + return; + } #ifdef VK_DEBUG - std::cerr << "ggml_vk_host_free()" << std::endl; + std::cerr << "ggml_vk_host_free(" << ptr << ")" << std::endl; #endif vk_buffer* buf = nullptr; size_t index; diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index a11d59694ea12..e72f2223d7485 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -4,7 +4,7 @@ import asyncio import os import sys -from tempfile import NamedTemporaryFile +from tempfile import gettempdir, NamedTemporaryFile shader_f32 = """ #define FLOAT_TYPE float @@ -1455,13 +1455,21 @@ K_QUANTS_PER_ITERATION = 2 +output_dir = gettempdir() -async def string_to_spv_file(name, code, defines, fp16): +lock = asyncio.Lock() +shader_fnames = [] + + +async def string_to_spv(name, code, defines, fp16): f = NamedTemporaryFile(mode="w", delete=False) f.write(code) f.flush() - cmd = [GLSLC, "-fshader-stage=compute", "--target-env=vulkan1.2", "-O", f.name, "-o", os.path.join("vk_shaders", f"{name}{'_fp32' if not fp16 else ''}.comp")] + name = f"{name}{'_fp32' if not fp16 else ''}" + fname = os.path.join(output_dir, f"{name}.comp") + + cmd = [GLSLC, "-fshader-stage=compute", "--target-env=vulkan1.2", "-O", f.name, "-o", fname] cmd.extend([f"-D{key}={value}" for key, value in defines.items()]) @@ -1498,11 +1506,14 @@ async def string_to_spv_file(name, code, defines, fp16): f.close() os.remove(f.name) + async with lock: + shader_fnames.append((name, fname)) + async def main(): print("ggml_vulkan: Generating and compiling shaders to SPIR-V") - os.makedirs("vk_shaders", exist_ok=True) + tasks = [] for fp16 in (False, True): # mulmat @@ -1517,36 +1528,34 @@ async def main(): vec_type_f16 = "f16vec4" vec_type = "vec4" - tasks = [] - stream = [] stream.extend((mulmat_head, shader_float_type, mulmat_body)); - tasks.append(string_to_spv_file("matmul_f32_l", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f32_m", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f32_s", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f32_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f32_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f32_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f32_l", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f32_m", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f32_s", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f32_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f32_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f32_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) stream.clear(); stream.extend((mulmat_head, shader_float_type, mulmat_body)); - tasks.append(string_to_spv_file("matmul_f16_l", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f16_m", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f16_s", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f16_l", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f16_m", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f16_s", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f16_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f16_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f16_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f16_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f16_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f16_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f16_f32_l", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f16_f32_m", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f16_f32_s", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f16_f32_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f16_f32_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv_file("matmul_f16_f32_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f16_f32_l", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f16_f32_m", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f16_f32_s", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f16_f32_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f16_f32_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("matmul_f16_f32_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) # Build dequant shaders - tasks.append(string_to_spv_file("f32_to_f16", f32_to_f16_src, {}, fp16)) + tasks.append(string_to_spv("f32_to_f16", f32_to_f16_src, {}, fp16)) for i in range(0, VK_NUM_TYPES): stream.clear(); @@ -1578,7 +1587,7 @@ async def main(): else: continue - tasks.append(string_to_spv_file(f"dequant_{type_names[i]}", "".join(stream), {"D_TYPE": "float16_t"}, fp16)) + tasks.append(string_to_spv(f"dequant_{type_names[i]}", "".join(stream), {"D_TYPE": "float16_t"}, fp16)) # mul mat vec for i in range(0, VK_NUM_TYPES): @@ -1610,26 +1619,45 @@ async def main(): else: continue - tasks.append(string_to_spv_file(f"mul_mat_vec_{type_names[i]}", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float16_t", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) - tasks.append(string_to_spv_file(f"mul_mat_vec_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) + tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float16_t", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) + tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) # add stream.clear(); stream.extend((add_head, shader_float_type, add_body)) - tasks.append(string_to_spv_file("add_f32", "".join(stream), {"X_TYPE": "float", "Y_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("add_f32", "".join(stream), {"X_TYPE": "float", "Y_TYPE": "float", "D_TYPE": "float"}, fp16)) stream.clear(); stream.extend((add_head, shader_float_type, add_body)) - tasks.append(string_to_spv_file("add_f16_f32_f16", "".join(stream), {"X_TYPE": "float16_t", "Y_TYPE": "float", "D_TYPE": "float16_t"}, fp16)) + tasks.append(string_to_spv("add_f16_f32_f16", "".join(stream), {"X_TYPE": "float16_t", "Y_TYPE": "float", "D_TYPE": "float16_t"}, fp16)) # Static shaders - tasks.append(string_to_spv_file("split_k_reduce", mulmat_split_k_reduce_src, {}, fp16)) - tasks.append(string_to_spv_file("mul_f32", mul_f32_src, {"X_TYPE": "float", "Y_TYPE": "float", "D_TYPE": "float"}, fp16)) - - tasks.append(string_to_spv_file("scale_f32", scale_src, {"X_TYPE": "float", "D_TYPE": "float"}, fp16)) - - await asyncio.gather(*tasks) + tasks.append(string_to_spv("split_k_reduce", mulmat_split_k_reduce_src, {}, fp16)) + tasks.append(string_to_spv("mul_f32", mul_f32_src, {"X_TYPE": "float", "Y_TYPE": "float", "D_TYPE": "float"}, fp16)) + + tasks.append(string_to_spv("scale_f32", scale_src, {"X_TYPE": "float", "D_TYPE": "float"}, fp16)) + + await asyncio.gather(*tasks) + + with open("ggml-vulkan-shaders.hpp", "w") as f: + f.write("#include \n\n") + for name, path in sorted(shader_fnames): + + with open(path, "rb") as spv: + counter = 0 + newline_counter = 0 + f.write(f"unsigned char {name}_data[] = {{\n") + for val in spv.read(): + f.write(f"0x{val:02x}, ") + newline_counter += 1 + counter += 1 + if newline_counter >= 12: + newline_counter = 0 + f.write("\n") + f.write("\n};\n") + f.write(f"const uint64_t {name}_len = {counter};\n\n") + os.remove(path) if __name__ == "__main__": From a0db45f7422e622f9534614a049be123024ed715 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 21 Oct 2023 11:50:37 +0200 Subject: [PATCH 096/142] Switch to signal semaphores for flexibility Prepare broadcasting support for mul mat --- ggml-vulkan.cpp | 121 ++++++++++++++++++++++++++++++------------------ 1 file changed, 76 insertions(+), 45 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 598b31319a834..8a42f217064bb 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -92,7 +92,7 @@ struct vk_pipeline { struct vk_queue { vk_queue() {} - vk_queue(const vk_queue& b) : queue_family_index(b.queue_family_index), queue(b.queue), pool(b.pool), cmd_buffer_idx(b.cmd_buffer_idx), cmd_buffers(b.cmd_buffers), semaphore_idx(b.semaphore_idx), semaphores(b.semaphores), stage_flags(b.stage_flags) {} + vk_queue(const vk_queue& b) : queue_family_index(b.queue_family_index), queue(b.queue), pool(b.pool), cmd_buffer_idx(b.cmd_buffer_idx), cmd_buffers(b.cmd_buffers), semaphores(b.semaphores), stage_flags(b.stage_flags) {} vk_queue& operator=(const vk_queue& b) { if (this != &b) { @@ -101,7 +101,6 @@ struct vk_queue { pool = b.pool; cmd_buffer_idx = b.cmd_buffer_idx; cmd_buffers = b.cmd_buffers; - semaphore_idx = b.semaphore_idx; semaphores = b.semaphores; stage_flags = b.stage_flags; } @@ -113,7 +112,6 @@ struct vk_queue { vk::CommandPool pool; uint32_t cmd_buffer_idx; std::vector cmd_buffers; - uint32_t semaphore_idx; std::vector semaphores; vk::PipelineStageFlags stage_flags; @@ -403,10 +401,26 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: return; } + std::vector> tl_wait_vals; + std::vector> tl_signal_vals; + std::vector tl_submit_infos; std::vector submit_infos; int idx = -1; std::vector> stage_flags; + size_t reserve = 0; + + for (const auto& sequence : sequences) { + reserve += sequence.size(); + } + + // Pre-reserve vectors to prevent reallocation, which invalidates pointers + tl_wait_vals.reserve(reserve); + tl_signal_vals.reserve(reserve); + tl_submit_infos.reserve(reserve); + submit_infos.reserve(reserve); + stage_flags.reserve(reserve); + for (const auto& sequence : sequences) { for (const auto& submission : sequence) { stage_flags.push_back({}); @@ -414,6 +428,18 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: for (size_t i = 0; i < submission.wait_semaphores.size(); i++) { stage_flags[idx].push_back(q.stage_flags); } + tl_wait_vals.push_back({}); + tl_wait_vals[idx].assign(submission.wait_semaphores.size(), 1); + tl_signal_vals.push_back({}); + tl_signal_vals[idx].assign(submission.signal_semaphores.size(), 1); + tl_submit_infos.push_back({ + (uint32_t) submission.wait_semaphores.size(), + tl_wait_vals[idx].data(), + (uint32_t) submission.signal_semaphores.size(), + tl_signal_vals[idx].data(), + }); + tl_submit_infos[idx].sType = vk::StructureType::eTimelineSemaphoreSubmitInfo; + tl_submit_infos[idx].pNext = nullptr; submit_infos.push_back({ (uint32_t) submission.wait_semaphores.size(), submission.wait_semaphores.data(), @@ -421,7 +447,8 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: 1, &submission.buffer, (uint32_t) submission.signal_semaphores.size(), - submission.signal_semaphores.data() + submission.signal_semaphores.data(), ++ &tl_submit_infos[idx], }); } } @@ -486,7 +513,6 @@ static vk_queue ggml_vk_create_queue(uint32_t queue_family_index, uint32_t queue q.pool = vk_device.device.createCommandPool(command_pool_create_info_compute); q.cmd_buffer_idx = 0; - q.semaphore_idx = 0; q.queue = vk_device.device.getQueue(queue_family_index, queue_index); @@ -499,14 +525,9 @@ static vk::Semaphore ggml_vk_create_semaphore(vk_queue& q) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_semaphore()" << std::endl; #endif - if (q.semaphores.size() > q.semaphore_idx) { - // Reuse semaphore - return q.semaphores[q.semaphore_idx++]; - } - - vk::Semaphore semaphore = vk_device.device.createSemaphore({}); + vk::SemaphoreTypeCreateInfo info{ vk::SemaphoreType::eTimeline, 0 }; + vk::Semaphore semaphore = vk_device.device.createSemaphore(vk::SemaphoreCreateInfo{ {}, &info }); q.semaphores.push_back(semaphore); - q.semaphore_idx++; return semaphore; } @@ -517,7 +538,11 @@ static void ggml_vk_queue_cleanup(vk_queue& q) { #endif // Requires semaphores and command buffers to be done - q.semaphore_idx = 0; + for (size_t i = 0; i < q.semaphores.size(); i++) { + vk_device.device.destroySemaphore({ q.semaphores[i] }); + } + + q.semaphores.clear(); vk_device.device.resetCommandPool(q.pool); q.cmd_buffer_idx = 0; @@ -697,11 +722,11 @@ static void ggml_vk_load_shaders() { vk_pipeline_dequant[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("dequant_q5_0", dequant_q5_0_len, dequant_q5_0_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); vk_pipeline_dequant[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("dequant_q5_1", dequant_q5_1_len, dequant_q5_1_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); vk_pipeline_dequant[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("dequant_q8_0", dequant_q8_0_len, dequant_q8_0_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); - vk_pipeline_dequant[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("dequant_q2_K", dequant_q2_K_len, dequant_q2_K_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); - vk_pipeline_dequant[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("dequant_q3_K", dequant_q3_K_len, dequant_q3_K_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("dequant_q2_K", dequant_q2_K_len, dequant_q2_K_data, "main", 2, 4 * sizeof(int), {256 * 64, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("dequant_q3_K", dequant_q3_K_len, dequant_q3_K_data, "main", 2, 4 * sizeof(int), {256 * 64, 1, 1}, {}, 1); vk_pipeline_dequant[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("dequant_q4_K", dequant_q4_K_len, dequant_q4_K_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); - vk_pipeline_dequant[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("dequant_q5_K", dequant_q5_K_len, dequant_q5_K_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); - vk_pipeline_dequant[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("dequant_q6_K", dequant_q6_K_len, dequant_q6_K_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("dequant_q5_K", dequant_q5_K_len, dequant_q5_K_data, "main", 2, 4 * sizeof(int), {256 * 64, 1, 1}, {}, 1); + vk_pipeline_dequant[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("dequant_q6_K", dequant_q6_K_len, dequant_q6_K_data, "main", 2, 4 * sizeof(int), {256 * 64, 1, 1}, {}, 1); vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16", mul_mat_vec_f16_len, mul_mat_vec_f16_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0", mul_mat_vec_q4_0_len, mul_mat_vec_q4_0_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); @@ -1850,6 +1875,8 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const int64_t ne10 = src1->ne[0]; const int64_t ne11 = src1->ne[1]; + const int64_t ne12 = src1->ne[2]; + const int64_t ne13 = src1->ne[3]; const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; @@ -1887,16 +1914,16 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr d_Y = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; // Allocate descriptor sets - ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); + ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne12 * ne13); if (split_k > 1) { - ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne02 * ne03); + ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne12 * ne13); } - for (int64_t i03 = 0; i03 < ne03; i03++) { - for (int64_t i02 = 0; i02 < ne02; i02++) { - const uint32_t x_offset = load_x ? x_sz * (i03 * ne02 + i02) : 0; - const uint32_t y_offset = y_sz * (i03 * ne02 + i02); - const uint32_t d_offset = d_sz * (i03 * ne02 + i02); + for (int64_t i13 = 0; i13 < ne13; i13++) { + for (int64_t i12 = 0; i12 < ne12; i12++) { + const uint32_t x_offset = load_x ? x_sz * (i13 * ne02 + i12) : 0; + const uint32_t y_offset = y_sz * (i13 * ne12 + i12); + const uint32_t d_offset = d_sz * (i13 * ne12 + i12); vk::Semaphore s_x; vk::Semaphore s_y = ggml_vk_create_semaphore(vk_device.compute_queue); @@ -1906,11 +1933,11 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr s_x = ggml_vk_create_semaphore(vk_device.compute_queue); semaphores.push_back(s_x); // Wait for previous matmul to be done before writing to the input buffers again - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x }, nullptr, &extra->memcpys)); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i13 % ne03, i12 & ne02, vk_device.transfer_queues[0], {}, { s_x }, nullptr, &extra->memcpys)); } // Wait for previous matmul to be done before writing to the input buffers again - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y }, nullptr, &extra->memcpys)); + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i13, i12, vk_device.transfer_queues[1], {}, { s_y }, nullptr, &extra->memcpys)); // compute vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); @@ -1918,7 +1945,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(semaphores), { s_mm })); // copy dst to host - float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[1], { s_mm }, {})); } } @@ -1937,6 +1964,8 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const int64_t ne10 = src1->ne[0]; const int64_t ne11 = src1->ne[1]; + const int64_t ne12 = src1->ne[2]; + const int64_t ne13 = src1->ne[3]; const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; @@ -2014,20 +2043,20 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr); // NOLINT // Allocate descriptor sets - ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); + ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne12 * ne13); if (qx_needs_dequant) { - ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_0, ne02 * ne03); + ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_0, ne12 * ne13); } if (qy_needs_dequant) { - ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_1, ne02 * ne03); + ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_1, ne12 * ne13); } if (split_k > 1) { - ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne02 * ne03); + ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne12 * ne13); } - for (int64_t i03 = 0; i03 < ne03; i03++) { - for (int64_t i02 = 0; i02 < ne02; i02++) { - const uint32_t it_idx = (i03 * ne02 + i02); + for (int64_t i13 = 0; i13 < ne13; i13++) { + for (int64_t i12 = 0; i12 < ne12; i12++) { + const uint32_t it_idx = (i13 * ne12 + i12); const uint32_t qx_offset = load_x ? qx_sz * it_idx : 0; const uint32_t qy_offset = load_y ? qy_sz * it_idx : 0; const uint32_t x_offset = x_sz * it_idx; @@ -2050,7 +2079,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } else { mm_semaphores.push_back(s_x); } - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, tr0q, {}, { s_x }, nullptr, &extra->memcpys)); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i13 % ne03, i12 % ne02, tr0q, {}, { s_x }, nullptr, &extra->memcpys)); } if (load_y) { s_y = ggml_vk_create_semaphore(tr1q); @@ -2059,7 +2088,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } else { mm_semaphores.push_back(s_y); } - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i03, i02, tr1q, {}, { s_y }, nullptr, &extra->memcpys)); + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, tr1q, {}, { s_y }, nullptr, &extra->memcpys)); } if (dq) { @@ -2088,7 +2117,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, compq, std::move(mm_semaphores), { s_mm })); // copy dst to host - float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, tr1q, { s_mm }, {})); } } @@ -2107,6 +2136,8 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const int64_t ne10 = src1->ne[0]; const int64_t ne11 = src1->ne[1]; + const int64_t ne12 = src1->ne[2]; + const int64_t ne13 = src1->ne[3]; GGML_ASSERT(ne11 == 1); @@ -2164,13 +2195,13 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso // Allocate descriptor sets if (qy_needs_dequant) { - ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_1, ne02 * ne03); + ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_1, ne12 * ne13); } - ggml_vk_pipeline_allocate_descriptor_sets(*dmmv, ne02 * ne03); + ggml_vk_pipeline_allocate_descriptor_sets(*dmmv, ne12 * ne13); - for (int64_t i03 = 0; i03 < ne03; i03++) { - for (int64_t i02 = 0; i02 < ne02; i02++) { - const uint32_t it_idx = (i03 * ne02 + i02); + for (int64_t i13 = 0; i13 < ne13; i13++) { + for (int64_t i12 = 0; i12 < ne12; i12++) { + const uint32_t it_idx = (i13 * ne12 + i12); const uint32_t qx_offset = load_x ? qx_sz * it_idx : 0; const uint32_t qy_offset = load_y ? qy_sz * it_idx : 0; const uint32_t y_offset = y_sz * it_idx; @@ -2179,10 +2210,10 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso vk_submission s = ggml_vk_begin_submission(compq); if (load_x) { - ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, compq, {}, {}, &s, &extra->memcpys); + ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i13 % ne03, i12 % ne02, compq, {}, {}, &s, &extra->memcpys); } if (load_y) { - ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i03, i02, compq, {}, {}, &s, &extra->memcpys); + ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, compq, {}, {}, &s, &extra->memcpys); } if (qy_needs_dequant) { @@ -2199,7 +2230,7 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso ggml_vk_dispatch_pipeline(s, *dmmv, { { *d_Qx, qx_offset, qx_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz } }, sizeof(int), &ncols, { (uint32_t)ne01, 1, 1}); // copy dst to host - float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); ggml_vk_sync_buffers(s.buffer, { { *d_D, d_offset, d_sz } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, compq, {}, {}, &s); From 3de5ba4946cabfc03bab70631f99fc2c8e23ad72 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 22 Oct 2023 16:44:53 +0200 Subject: [PATCH 097/142] Finish broadcasting mul mat support for GQA --- ggml-vulkan.cpp | 144 +++++++++++++++++++++++++++++++++--------------- 1 file changed, 100 insertions(+), 44 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 8a42f217064bb..bd62ba02f2f10 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1881,6 +1881,9 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; + const int64_t r2 = ne12 / ne02; + const int64_t r3 = ne13 / ne03; + const int x_ne = ne01 * ne00; const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; @@ -1919,24 +1922,37 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne12 * ne13); } + std::vector x_semaphores; + + if (load_x) { + for (int64_t i03 = 0; i03 < ne03; i03++) { + for (int64_t i02 = 0; i02 < ne02; i02++) { + const uint32_t x_offset = load_x ? x_sz * (i03 * ne02 + i02) : 0; + // copy data to device + vk::Semaphore s = ggml_vk_create_semaphore(vk_device.compute_queue); + x_semaphores.push_back(s); + // Wait for previous matmul to be done before writing to the input buffers again + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s }, nullptr, &extra->memcpys)); + } + } + } + for (int64_t i13 = 0; i13 < ne13; i13++) { + const int64_t i03 = i13 / r3; for (int64_t i12 = 0; i12 < ne12; i12++) { - const uint32_t x_offset = load_x ? x_sz * (i13 * ne02 + i12) : 0; + int64_t i02 = i12 / r2; + + const uint32_t x_offset = load_x ? x_sz * (i03 * ne02 + i02) : 0; const uint32_t y_offset = y_sz * (i13 * ne12 + i12); const uint32_t d_offset = d_sz * (i13 * ne12 + i12); vk::Semaphore s_x; - vk::Semaphore s_y = ggml_vk_create_semaphore(vk_device.compute_queue); - std::vector semaphores = { s_y }; - // copy data to device if (load_x) { - s_x = ggml_vk_create_semaphore(vk_device.compute_queue); - semaphores.push_back(s_x); - // Wait for previous matmul to be done before writing to the input buffers again - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i13 % ne03, i12 & ne02, vk_device.transfer_queues[0], {}, { s_x }, nullptr, &extra->memcpys)); + s_x = x_semaphores[i03 * ne02 + i02]; } + vk::Semaphore s_y = ggml_vk_create_semaphore(vk_device.compute_queue); + std::vector semaphores = { s_y }; - // Wait for previous matmul to be done before writing to the input buffers again extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i13, i12, vk_device.transfer_queues[1], {}, { s_y }, nullptr, &extra->memcpys)); // compute @@ -1970,6 +1986,9 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; + const int64_t r2 = ne12 / ne02; + const int64_t r3 = ne13 / ne03; + vk_queue& compq = vk_device.compute_queue; vk_queue& tr0q = vk_device.transfer_queues[0]; vk_queue& tr1q = vk_device.transfer_queues[1]; @@ -2054,14 +2073,58 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne12 * ne13); } + std::vector x_semaphores; + + for (int64_t i03 = 0; i03 < ne03; i03++) { + for (int64_t i02 = 0; i02 < ne02; i02++) { + const uint32_t it_idx0 = (i03 * ne02 + i02); + const uint32_t qx_offset = qx_sz * it_idx0; + const uint32_t x_offset = x_sz * it_idx0; + + vk::Semaphore s_qx; + vk::Semaphore s_x; + + if (load_x) { + // copy data to device + s_qx = ggml_vk_create_semaphore(vk_device.compute_queue); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_qx }, nullptr, &extra->memcpys)); + } + + if (qx_needs_dequant) { + s_x = ggml_vk_create_semaphore(vk_device.compute_queue); + + vk_submission s = ggml_vk_begin_submission(compq); + const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; + ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_offset, qx_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *to_fp16_vk_0, { { *d_Qx, qx_offset, qx_sz }, { *d_X, x_offset, x_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); + if (load_x) { + ggml_vk_end_submission(s, { s_qx }, { s_x }); + } else { + ggml_vk_end_submission(s, {}, { s_x }); + } + + extra->comp_seqs.push_back({ s }); + + x_semaphores.push_back(s_x); + } else { + x_semaphores.push_back(s_qx); + } + } + } + for (int64_t i13 = 0; i13 < ne13; i13++) { + const int64_t i03 = i13 / r3; for (int64_t i12 = 0; i12 < ne12; i12++) { - const uint32_t it_idx = (i13 * ne12 + i12); - const uint32_t qx_offset = load_x ? qx_sz * it_idx : 0; - const uint32_t qy_offset = load_y ? qy_sz * it_idx : 0; - const uint32_t x_offset = x_sz * it_idx; - const uint32_t y_offset = y_sz * it_idx; - const uint32_t d_offset = d_sz * it_idx; + int64_t i02 = i12 / r2; + + const uint32_t it_idx0 = (i03 * ne02 + i02); + const uint32_t it_idx1 = (i13 * ne12 + i12); + const uint32_t qx_offset = load_x ? qx_sz * it_idx0 : 0; + const uint32_t qy_offset = load_y ? qy_sz * it_idx1 : 0; + const uint32_t x_offset = x_sz * it_idx0; + const uint32_t y_offset = y_sz * it_idx1; + const uint32_t d_offset = d_sz * it_idx1; vk::Semaphore s_x; vk::Semaphore s_y; @@ -2073,13 +2136,12 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * std::vector mm_semaphores; if (load_x) { - s_x = ggml_vk_create_semaphore(tr0q); + s_x = x_semaphores[it_idx0]; if (qx_needs_dequant) { q_semaphores.push_back(s_x); } else { mm_semaphores.push_back(s_x); } - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i13 % ne03, i12 % ne02, tr0q, {}, { s_x }, nullptr, &extra->memcpys)); } if (load_y) { s_y = ggml_vk_create_semaphore(tr1q); @@ -2091,22 +2153,15 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, tr1q, {}, { s_y }, nullptr, &extra->memcpys)); } - if (dq) { + if (qy_needs_dequant) { s_q = ggml_vk_create_semaphore(tr0q); vk_submission s = ggml_vk_begin_submission(compq); - if (qx_needs_dequant) { - const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_offset, qx_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *to_fp16_vk_0, { { *d_Qx, qx_offset, qx_sz }, { *d_X, x_offset, x_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); - } - if (qy_needs_dequant) { - const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { { *d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { { *d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *to_fp16_vk_1, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); - } + const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; + ggml_vk_sync_buffers(s.buffer, { { *d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { { *d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *to_fp16_vk_1, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); + ggml_vk_end_submission(s, std::move(q_semaphores), { s_q }); extra->comp_seqs.push_back({ s }); @@ -2140,16 +2195,19 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const int64_t ne13 = src1->ne[3]; GGML_ASSERT(ne11 == 1); + GGML_ASSERT(src0->backend == GGML_BACKEND_GPU); const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; + const int64_t r2 = ne12 / ne02; + const int64_t r3 = ne13 / ne03; + vk_queue& compq = vk_device.compute_queue; const bool f16_f32_kernel = src1->type == GGML_TYPE_F32; const bool qy_needs_dequant = src1->type != GGML_TYPE_F16 && !f16_f32_kernel; - const bool load_x = src0->backend != GGML_BACKEND_GPU; const bool load_y = src1->backend != GGML_BACKEND_GPU; const int x_ne = ne01 * ne00; @@ -2171,11 +2229,7 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso vk_buffer* d_Qx; vk_buffer* d_Qy; vk_buffer* d_Y; - if (load_x) { - d_Qx = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; - } else { - d_Qx = (vk_buffer *) src0->data; - } + d_Qx = (vk_buffer *) src0->data; if (load_y) { d_Qy = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; } else { @@ -2200,18 +2254,20 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso ggml_vk_pipeline_allocate_descriptor_sets(*dmmv, ne12 * ne13); for (int64_t i13 = 0; i13 < ne13; i13++) { + const int64_t i03 = i13 / r3; for (int64_t i12 = 0; i12 < ne12; i12++) { - const uint32_t it_idx = (i13 * ne12 + i12); - const uint32_t qx_offset = load_x ? qx_sz * it_idx : 0; - const uint32_t qy_offset = load_y ? qy_sz * it_idx : 0; - const uint32_t y_offset = y_sz * it_idx; - const uint32_t d_offset = d_sz * it_idx; + int64_t i02 = i12 / r2; + + const uint32_t it_idx0 = (i03 * ne02 + i02); + const uint32_t it_idx1 = (i13 * ne12 + i12); + const uint32_t qx_offset = qx_sz * it_idx0; + const uint32_t qy_offset = qy_sz * it_idx1; + const uint32_t y_offset = y_sz * it_idx1; + const uint32_t d_offset = d_sz * it_idx1; vk_submission s = ggml_vk_begin_submission(compq); - if (load_x) { - ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i13 % ne03, i12 % ne02, compq, {}, {}, &s, &extra->memcpys); - } + vk::Semaphore s_x; if (load_y) { ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, compq, {}, {}, &s, &extra->memcpys); } From 0230981649abc805770a0c2abeb9b392d48e71bf Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 25 Oct 2023 18:27:10 +0200 Subject: [PATCH 098/142] Clean up unused functions Add repeat op --- ggml-vulkan.cpp | 266 ++++++++++++++++-------------------------------- 1 file changed, 88 insertions(+), 178 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index bd62ba02f2f10..327576f2d3803 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1404,115 +1404,6 @@ static inline size_t ggml_vk_align_size(size_t width, size_t align) { return CEIL_DIV(width, align) * align; } -static vk_sequence ggml_vk_buffer_write_2d_async_zeropad(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, size_t align, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_buffer_write_2d_async_zeropad(" << offset << ", " << spitch << ", " << width << ", " << height << ", " << align << ")" << std::endl; -#endif - // Outdated - GGML_ASSERT(false); - // Buffer is already mapped - if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { - std::cerr << "ggml_vulkan: buffer_write_2d_async_zeropad dst buffer is host_visible. Use synchronous write." << std::endl; - GGML_ASSERT(false); - } - // Check if src is pinned memory - vk_buffer* buf = nullptr; - size_t buf_offset = 0; - for (size_t i = 0; i < vk_pinned_memory.size(); i++) { - const uint8_t* addr = (const uint8_t*) std::get<0>(vk_pinned_memory[i]); - const uint8_t* endr = addr + std::get<1>(vk_pinned_memory[i]); - if (src >= addr && src < endr) { - buf = &std::get<2>(vk_pinned_memory[i]); - buf_offset = ((const uint8_t *)src) - addr; - break; - } - } - - // Align slices to the value of align - const uint32_t padded_width = ggml_vk_align_size(width, align); - - bool reuse_submission = false; - vk_submission submission; - if (s == nullptr) { - submission = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); - s = &submission; - reuse_submission = true; - } - - if (buf != nullptr) { - std::vector slices(1); - if (width == padded_width && width == spitch) { - // Only do single write if no padding happens - slices[0].srcOffset = buf_offset; - slices[0].dstOffset = offset; - slices[0].size = width * height; - } else { - slices.resize(height); - for (size_t i = 0; i < height; i++) { - slices[i].srcOffset = buf_offset + i * spitch; - slices[i].dstOffset = offset + i * padded_width; - slices[i].size = width; - } - } - - if (reuse_submission) { - s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - } - ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); - if (padded_width > width) { - s->buffer.fillBuffer(dst->buffer, 0, VK_WHOLE_SIZE, 0); - } - s->buffer.pipelineBarrier( - q.stage_flags, - q.stage_flags, - {}, - {}, - { - { vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryWrite, VK_QUEUE_FAMILY_IGNORED, VK_QUEUE_FAMILY_IGNORED, dst->buffer, 0, VK_WHOLE_SIZE } - }, - {} - ); - s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); - if (reuse_submission) { - s->buffer.end(); - } - return { *s }; - } - - // Staging buffer required, malloc because of async transfer - if (dst->sb_write == nullptr) { - dst->sb_write = new vk_buffer; - *dst->sb_write = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); - } - - vk::BufferCopy buf_copy = { - 0, - offset, - padded_width * height}; - - if (reuse_submission) { - s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - } - ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eTransferWrite, false); - s->buffer.copyBuffer(dst->sb_write->buffer, dst->buffer, { buf_copy }); - if (reuse_submission) { - s->buffer.end(); - } - - const size_t zeropad = padded_width - width; - - if (width == padded_width && width == spitch) { - memcpy(dst->sb_write->ptr, src, width * height); - } else { - for (size_t i = 0; i < height; i++) { - memcpy((uint8_t *)dst->sb_write->ptr + i * padded_width, (const uint8_t *) src + i * spitch, width); - memset((uint8_t *)dst->sb_write->ptr + i * padded_width + width, 0, zeropad); - } - } - - return { *s }; -} - static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; @@ -1678,73 +1569,6 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const st } } -static vk_sequence ggml_vk_h2d_tensor_2d_f32_to_f16(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_h2d_tensor_2d()" << std::endl; -#endif - GGML_ASSERT(src->type == GGML_TYPE_F32); - - const uint64_t ne0 = src->ne[0]; - const uint64_t ne1 = src->ne[1]; - const uint64_t nb0 = src->nb[0]; - const uint64_t nb1 = src->nb[1]; - const uint64_t nb2 = src->nb[2]; - const uint64_t nb3 = src->nb[3]; - const enum ggml_type type = src->type; - const size_t ts = ggml_type_size(type); - const size_t bs = ggml_blck_size(type); - const size_t row_length = ts*ne0/bs; - - const uint32_t copy_size = sizeof(ggml_fp16_t) * ne0 * ne1; - - if (dst->sb_write == nullptr) { - dst->sb_write = new vk_buffer; - *dst->sb_write = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); - } - - ggml_fp16_t * tmp = (ggml_fp16_t *) ((uint8_t *) dst->sb_write->ptr + offset); - const uint8_t * x = (const uint8_t *) src->data + i2*nb2 + i3*nb3; - if (nb0 == ts && nb1 == row_length) { - ggml_fp32_to_fp16_row((const float *) x, tmp, ne0*ne1); - - vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); - - vk::BufferCopy buf_copy = { - offset, - offset, - copy_size, - }; - - s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { { *dst, (uint32_t)offset, copy_size } }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eTransferWrite, false); - s.buffer.copyBuffer(dst->sb_write->buffer, dst->buffer, { buf_copy }); - s.buffer.end(); - - return { s }; - } - if (nb0 == ts) { - for (uint64_t i1 = 0; i1 < ne1; i1++) { - ggml_fp32_to_fp16_row((const float *) (x + i1*nb1), tmp + i1*ne0, ne0); - } - - vk_submission s = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); - - vk::BufferCopy buf_copy = { - offset, - offset, - copy_size, - }; - - s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(s.buffer, { { *dst, (uint32_t)offset, copy_size } }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eTransferWrite, false); - s.buffer.copyBuffer(dst->sb_write->buffer, dst->buffer, { buf_copy }); - s.buffer.end(); - - return { s }; - } - GGML_ASSERT(false); -} - static int ggml_vk_guess_split_k(int m, int n, int k) { #ifdef VK_DEBUG std::cerr << "ggml_vk_guess_split_k()"; @@ -2336,6 +2160,76 @@ static void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_t } } +static void ggml_vk_op_repeat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + // guaranteed to be an integer due to the check in ggml_can_repeat + const int64_t ne0 = dst->ne[0]; + const int64_t ne1 = dst->ne[1]; + const int64_t ne2 = dst->ne[2]; + const int64_t ne3 = dst->ne[3]; + + const int64_t ne00 = src0->ne[0]; + const int64_t ne01 = src0->ne[1]; + const int64_t ne02 = src0->ne[2]; + const int64_t ne03 = src0->ne[3]; + + const size_t nb0 = dst->nb[0]; + const size_t nb1 = dst->nb[1]; + const size_t nb2 = dst->nb[2]; + const size_t nb3 = dst->nb[3]; + + const size_t nb00 = src0->nb[0]; + const size_t nb01 = src0->nb[1]; + const size_t nb02 = src0->nb[2]; + const size_t nb03 = src0->nb[3]; + + const int nr0 = (int)(ne0/ne00); + const int nr1 = (int)(ne1/ne01); + const int nr2 = (int)(ne2/ne02); + const int nr3 = (int)(ne3/ne03); + + // TODO: support for transposed / permuted tensors + GGML_ASSERT(nb0 == sizeof(float)); + GGML_ASSERT(nb00 == sizeof(float)); + GGML_ASSERT(src0->backend == GGML_BACKEND_GPU); + GGML_ASSERT(dst->backend == GGML_BACKEND_GPU); + + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; + + const vk_buffer* src0_buf = (vk_buffer *) src0->data; + vk_buffer* dst_buf = (vk_buffer *) dst->data; + + std::vector copies; + + // TODO: very inefficient, implement in a kernel, or fewer cudaMemcpyAsync calls for contiguous tensors + for (int i3 = 0; i3 < nr3; i3++) { + for (int k3 = 0; k3 < ne03; k3++) { + for (int i2 = 0; i2 < nr2; i2++) { + for (int k2 = 0; k2 < ne02; k2++) { + for (int i1 = 0; i1 < nr1; i1++) { + for (int k1 = 0; k1 < ne01; k1++) { + for (int i0 = 0; i0 < nr0; i0++) { + copies.push_back({ + (i3*ne03 + k3)*nb3 + (i2*ne02 + k2)*nb2 + (i1*ne01 + k1)*nb1 + (i0*ne00)*nb0, + ( k3)*nb03 + ( k2)*nb02 + ( k1)*nb01, + ne00*nb0, + }); + } + } + } + } + } + } + } + + vk_submission s = ggml_vk_begin_submission(vk_device.transfer_queues[0]); + vkCmdCopyBuffer(s.buffer, src0_buf->buffer, dst_buf->buffer, copies.size(), copies.data()); + ggml_vk_end_submission(s, {}, {}); + extra->out_seqs.push_back({ s }); + + (void) src1; +} + + static vk_pipeline* ggml_vk_op_get_pipeline(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op) { switch (op) { case GGML_OP_ADD: @@ -2360,6 +2254,15 @@ static vk_pipeline* ggml_vk_op_get_pipeline(const ggml_tensor * src0, const ggml } } +static ggml_vk_func_t ggml_vk_op_get_func(ggml_op op) { + switch(op) { + case GGML_OP_REPEAT: + return ggml_vk_op_repeat; + default: + return nullptr; + } +} + static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, float scale=1.0f) { #ifdef VK_DEBUG std::cerr << "ggml_vk_op_f32((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; @@ -2387,9 +2290,16 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g GGML_ASSERT(dst->ne[0] * dst->ne[1] * dst->ne[2] * dst->ne[3] == ne0); GGML_ASSERT(nb10 == sizeof(float)); - vk_pipeline* pipeline = ggml_vk_op_get_pipeline(src0, src1, dst, op); + vk_pipeline * pipeline = ggml_vk_op_get_pipeline(src0, src1, dst, op); + ggml_vk_func_t op_func; + + if (pipeline == nullptr) { + op_func = ggml_vk_op_get_func(op); + GGML_ASSERT(op_func != nullptr); - GGML_ASSERT(pipeline != nullptr); + op_func(src0, src1, dst); + return; + } const bool transfer_src0 = src0->backend != GGML_BACKEND_GPU; const bool transfer_src1 = use_src1 && src1->backend != GGML_BACKEND_GPU; From 1cb90e57e43e4efe1340e715e9d84c568323fbf8 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 31 Oct 2023 09:49:56 +0100 Subject: [PATCH 099/142] Add further ops, not yet enabled. Improve semaphore code --- ggml-vulkan.cpp | 563 +++++++++++++++++++----------------- ggml_vk_generate_shaders.py | 168 ++++++++--- 2 files changed, 419 insertions(+), 312 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 327576f2d3803..8a8d33068f63f 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -92,7 +92,7 @@ struct vk_pipeline { struct vk_queue { vk_queue() {} - vk_queue(const vk_queue& b) : queue_family_index(b.queue_family_index), queue(b.queue), pool(b.pool), cmd_buffer_idx(b.cmd_buffer_idx), cmd_buffers(b.cmd_buffers), semaphores(b.semaphores), stage_flags(b.stage_flags) {} + vk_queue(const vk_queue& b) : queue_family_index(b.queue_family_index), queue(b.queue), pool(b.pool), cmd_buffer_idx(b.cmd_buffer_idx), cmd_buffers(b.cmd_buffers), stage_flags(b.stage_flags) {} vk_queue& operator=(const vk_queue& b) { if (this != &b) { @@ -101,7 +101,6 @@ struct vk_queue { pool = b.pool; cmd_buffer_idx = b.cmd_buffer_idx; cmd_buffers = b.cmd_buffers; - semaphores = b.semaphores; stage_flags = b.stage_flags; } return *this; @@ -112,7 +111,6 @@ struct vk_queue { vk::CommandPool pool; uint32_t cmd_buffer_idx; std::vector cmd_buffers; - std::vector semaphores; vk::PipelineStageFlags stage_flags; @@ -161,18 +159,25 @@ struct vk_staging_memcpy { struct ggml_vk_tensor_extra_gpu { uint32_t batch_size; - std::vector buffer_idx; + uint32_t d_buf_idx; + uint32_t qx_buf_idx; + uint32_t qy_buf_idx; + uint32_t x_buf_idx; + uint32_t y_buf_idx; std::vector memcpys; std::vector in0_seqs; std::vector in1_seqs; std::vector comp_seqs; std::vector out_seqs; + + size_t tensor_size; }; struct ggml_vk_garbage_collector { std::vector pipelines; std::vector extras; + std::vector semaphores; }; vk::Instance vk_instance; @@ -187,14 +192,16 @@ vk_pipeline vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_dequant[VK_NUM_TYPES]; vk_pipeline vk_pipeline_dequant_mul_mat_vec[VK_NUM_TYPES]; vk_pipeline vk_pipeline_dequant_mul_mat_vec_f32[VK_NUM_TYPES]; +vk_pipeline vk_pipeline_get_rows[VK_NUM_TYPES]; +vk_pipeline vk_pipeline_get_rows_f32[VK_NUM_TYPES]; vk_pipeline vk_pipeline_mul_f32; vk_pipeline vk_pipeline_add_f32, vk_pipeline_add_f16_f32_f16; vk_pipeline vk_pipeline_scale_f32; static ggml_vk_garbage_collector vk_gc; static std::vector> vk_pinned_memory; -static std::vector vk_preallocated_buffer_sizes; -static std::vector vk_preallocated_buffers; +static size_t vk_prealloc_size_d, vk_prealloc_size_qx, vk_prealloc_size_qy, vk_prealloc_size_x, vk_prealloc_size_y; +static vk_buffer vk_prealloc_d, vk_prealloc_qx, vk_prealloc_qy, vk_prealloc_x, vk_prealloc_y; static vk::Fence vk_fence; static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_size, const void* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { @@ -521,13 +528,13 @@ static vk_queue ggml_vk_create_queue(uint32_t queue_family_index, uint32_t queue return q; } -static vk::Semaphore ggml_vk_create_semaphore(vk_queue& q) { +static vk::Semaphore ggml_vk_create_semaphore() { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_semaphore()" << std::endl; #endif vk::SemaphoreTypeCreateInfo info{ vk::SemaphoreType::eTimeline, 0 }; vk::Semaphore semaphore = vk_device.device.createSemaphore(vk::SemaphoreCreateInfo{ {}, &info }); - q.semaphores.push_back(semaphore); + vk_gc.semaphores.push_back(semaphore); return semaphore; } @@ -536,13 +543,7 @@ static void ggml_vk_queue_cleanup(vk_queue& q) { #ifdef VK_DEBUG std::cerr << "ggml_vk_queue_cleanup()" << std::endl; #endif - // Requires semaphores and command buffers to be done - - for (size_t i = 0; i < q.semaphores.size(); i++) { - vk_device.device.destroySemaphore({ q.semaphores[i] }); - } - - q.semaphores.clear(); + // Requires command buffers to be done vk_device.device.resetCommandPool(q.pool); q.cmd_buffer_idx = 0; @@ -760,7 +761,7 @@ static void ggml_vk_load_shaders() { vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); vk_pipeline_mul_f32 = ggml_vk_create_pipeline("mul_f32", mul_f32_len, mul_f32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_len, scale_f32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_len, scale_f32_data, "main", 2, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); } else { vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_fp32_len, matmul_f32_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_fp32_len, matmul_f32_m_fp32_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); @@ -823,6 +824,21 @@ static void ggml_vk_load_shaders() { vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K_f32", mul_mat_vec_q5_K_f32_fp32_len, mul_mat_vec_q5_K_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K_f32", mul_mat_vec_q6_K_f32_fp32_len, mul_mat_vec_q6_K_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + // get_rows + vk_pipeline_get_rows[GGML_TYPE_F16] = ggml_vk_create_pipeline("get_rows_f16", get_rows_f16_fp32_len, get_rows_f16_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("get_rows_q4_0", get_rows_q4_0_fp32_len, get_rows_q4_0_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("get_rows_q4_1", get_rows_q4_1_fp32_len, get_rows_q4_1_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("get_rows_q5_0", get_rows_q5_0_fp32_len, get_rows_q5_0_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("get_rows_q5_1", get_rows_q5_1_fp32_len, get_rows_q5_1_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0", get_rows_q8_0_fp32_len, get_rows_q8_0_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + + vk_pipeline_get_rows_f32[GGML_TYPE_F16] = ggml_vk_create_pipeline("get_rows_f16_f32", get_rows_f16_f32_fp32_len, get_rows_f16_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("get_rows_q4_0_f32", get_rows_q4_0_f32_fp32_len, get_rows_q4_0_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("get_rows_q4_1_f32", get_rows_q4_1_f32_fp32_len, get_rows_q4_1_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("get_rows_q5_0_f32", get_rows_q5_0_f32_fp32_len, get_rows_q5_0_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("get_rows_q5_1_f32", get_rows_q5_1_f32_fp32_len, get_rows_q5_1_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0_f32", get_rows_q8_0_f32_fp32_len, get_rows_q8_0_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + // add vk_pipeline_add_f32 = ggml_vk_create_pipeline("add_f32", add_f32_fp32_len, add_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline("add_f16_f32_f16", add_f16_f32_f16_fp32_len, add_f16_f32_f16_fp32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); @@ -831,7 +847,7 @@ static void ggml_vk_load_shaders() { vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_fp32_len, split_k_reduce_fp32_data, "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); vk_pipeline_mul_f32 = ggml_vk_create_pipeline("mul_f32", mul_f32_fp32_len, mul_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_fp32_len, scale_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_fp32_len, scale_f32_fp32_data, "main", 2, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); } } @@ -1000,6 +1016,7 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; ggml_vk_test_transfer(1024 * 1024 * m); } const std::vector vals { + 1024, 2, 4096, 512, 1, 256, 128, 110, 622, 511, 511, 127, @@ -1257,6 +1274,7 @@ static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, s std::vector descriptor_buffer_infos; std::vector write_descriptor_sets; GGML_ASSERT(pipeline.descriptor_set_idx < pipeline.descriptor_sets.size()); + GGML_ASSERT(buffers.size() == pipeline.parameter_count); vk::DescriptorSet& descriptor_set = pipeline.descriptor_sets[pipeline.descriptor_set_idx++]; for (uint32_t i = 0; i < pipeline.parameter_count; i++) { descriptor_buffer_infos.push_back({buffers[i].buffer.buffer, buffers[i].offset, buffers[i].size}); @@ -1688,9 +1706,9 @@ static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_su static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_f32((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; - std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; - std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; + std::cerr << "ggml_vk_mul_mat_f32((type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; + std::cerr << "), (type=" << src1->type << ", backend=" << src0->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; + std::cerr << "), (type=" << dst->type << ", backend=" << src0->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; #endif const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; @@ -1728,17 +1746,20 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr GGML_ASSERT(extra->comp_seqs.empty()); - uint32_t buffer_idx = 0; - - vk_buffer* d_D = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + vk_buffer* d_D; + if (dst->backend == GGML_BACKEND_GPU) { + d_D = (vk_buffer *) dst->data; + } else { + d_D = &vk_prealloc_d; + } vk_buffer* d_X; vk_buffer* d_Y; if (load_x) { - d_X = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + d_X = &vk_prealloc_qx; } else { d_X = (vk_buffer *) src0->data; } - d_Y = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + d_Y = &vk_prealloc_qy; // Allocate descriptor sets ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne12 * ne13); @@ -1753,7 +1774,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr for (int64_t i02 = 0; i02 < ne02; i02++) { const uint32_t x_offset = load_x ? x_sz * (i03 * ne02 + i02) : 0; // copy data to device - vk::Semaphore s = ggml_vk_create_semaphore(vk_device.compute_queue); + vk::Semaphore s = ggml_vk_create_semaphore(); x_semaphores.push_back(s); // Wait for previous matmul to be done before writing to the input buffers again extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s }, nullptr, &extra->memcpys)); @@ -1774,28 +1795,30 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr if (load_x) { s_x = x_semaphores[i03 * ne02 + i02]; } - vk::Semaphore s_y = ggml_vk_create_semaphore(vk_device.compute_queue); + vk::Semaphore s_y = ggml_vk_create_semaphore(); std::vector semaphores = { s_y }; extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i13, i12, vk_device.transfer_queues[1], {}, { s_y }, nullptr, &extra->memcpys)); // compute - vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); + vk::Semaphore s_mm = ggml_vk_create_semaphore(); extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(semaphores), { s_mm })); - // copy dst to host - float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[1], { s_mm }, {})); + if (dst->backend == GGML_BACKEND_CPU) { + // copy dst to host + float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[1], { s_mm }, {})); + } } } } static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_q_f16((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; - std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; - std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; + std::cerr << "ggml_vk_mul_mat_q_f16((type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; + std::cerr << "), (type=" << src1->type << ", backend=" << src0->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; + std::cerr << "), (type=" << dst->type << ", backend=" << src0->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; #endif const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; @@ -1820,7 +1843,6 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const bool qx_needs_dequant = src0->type != GGML_TYPE_F16; const bool qy_needs_dequant = src1->type != GGML_TYPE_F16 && !f16_f32_kernel; - const bool dq = qx_needs_dequant || qy_needs_dequant; const bool load_x = src0->backend != GGML_BACKEND_GPU; const bool load_y = src1->backend != GGML_BACKEND_GPU; @@ -1845,35 +1867,38 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * GGML_ASSERT(extra->comp_seqs.empty()); - uint32_t buffer_idx = 0; - - vk_buffer* d_D = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + vk_buffer* d_D; + if (dst->backend == GGML_BACKEND_GPU) { + d_D = (vk_buffer *) dst->data; + } else { + d_D = &vk_prealloc_d; + } GGML_ASSERT(d_D->size >= d_sz); vk_buffer* d_Qx; vk_buffer* d_Qy; vk_buffer* d_X; vk_buffer* d_Y; if (load_x) { - d_Qx = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + d_Qx = &vk_prealloc_qx; GGML_ASSERT(d_Qx->size >= qx_sz); } else { d_Qx = (vk_buffer *) src0->data; } if (load_y) { - d_Qy = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + d_Qy = &vk_prealloc_qy; GGML_ASSERT(d_Qy->size >= qy_sz); } else { d_Qy = (vk_buffer *) src1->data; } if (qx_needs_dequant) { - d_X = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + d_X = &vk_prealloc_x; GGML_ASSERT(d_X->size >= x_sz); } else { d_X = d_Qx; GGML_ASSERT(qx_sz == x_sz); // NOLINT } if (qy_needs_dequant) { - d_Y = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + d_Y = &vk_prealloc_y; GGML_ASSERT(d_Y->size >= y_sz); } else { d_Y = d_Qy; @@ -1910,12 +1935,12 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * if (load_x) { // copy data to device - s_qx = ggml_vk_create_semaphore(vk_device.compute_queue); + s_qx = ggml_vk_create_semaphore(); extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_qx }, nullptr, &extra->memcpys)); } if (qx_needs_dequant) { - s_x = ggml_vk_create_semaphore(vk_device.compute_queue); + s_x = ggml_vk_create_semaphore(); vk_submission s = ggml_vk_begin_submission(compq); const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; @@ -1950,63 +1975,39 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const uint32_t y_offset = y_sz * it_idx1; const uint32_t d_offset = d_sz * it_idx1; - vk::Semaphore s_x; vk::Semaphore s_y; vk::Semaphore s_q; - const vk::Semaphore s_mm = ggml_vk_create_semaphore(compq); + const vk::Semaphore s_mm = ggml_vk_create_semaphore(); - std::vector q_semaphores; std::vector mm_semaphores; if (load_x) { - s_x = x_semaphores[it_idx0]; - if (qx_needs_dequant) { - q_semaphores.push_back(s_x); - } else { - mm_semaphores.push_back(s_x); - } + mm_semaphores.push_back(x_semaphores[it_idx0]); } if (load_y) { - s_y = ggml_vk_create_semaphore(tr1q); - if (qy_needs_dequant) { - q_semaphores.push_back(s_y); - } else { - mm_semaphores.push_back(s_y); - } + s_y = ggml_vk_create_semaphore(); + mm_semaphores.push_back(s_y); extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, tr1q, {}, { s_y }, nullptr, &extra->memcpys)); } - if (qy_needs_dequant) { - s_q = ggml_vk_create_semaphore(tr0q); - vk_submission s = ggml_vk_begin_submission(compq); - - const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { { *d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { { *d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *to_fp16_vk_1, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); - - ggml_vk_end_submission(s, std::move(q_semaphores), { s_q }); - extra->comp_seqs.push_back({ s }); - - mm_semaphores.push_back(s_q); - } - // compute extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, compq, std::move(mm_semaphores), { s_mm })); - // copy dst to host - float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, tr1q, { s_mm }, {})); + if (dst->backend == GGML_BACKEND_CPU) { + // copy dst to host + float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, tr1q, { s_mm }, {})); + } } } } static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_vec_q_f16((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; - std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; - std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; + std::cerr << "ggml_vk_mul_mat_vec_q_f16((type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; + std::cerr << "), (type=" << src1->type << ", backend=" << src0->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; + std::cerr << "), (type=" << dst->type << ", backend=" << src0->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; #endif const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; @@ -2047,20 +2048,23 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso GGML_ASSERT(extra->comp_seqs.empty()); - uint32_t buffer_idx = 0; - - vk_buffer* d_D = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + vk_buffer* d_D; + if (dst->backend == GGML_BACKEND_GPU) { + d_D = (vk_buffer *) dst->data; + } else { + d_D = &vk_prealloc_d; + } vk_buffer* d_Qx; vk_buffer* d_Qy; vk_buffer* d_Y; d_Qx = (vk_buffer *) src0->data; if (load_y) { - d_Qy = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + d_Qy = &vk_prealloc_qy; } else { d_Qy = (vk_buffer *) src1->data; } if (qy_needs_dequant) { - d_Y = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + d_Y = &vk_prealloc_y; } else { d_Y = d_Qy; GGML_ASSERT(qy_sz == y_sz); @@ -2109,10 +2113,12 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso ggml_vk_sync_buffers(s.buffer, { { *d_D, d_offset, d_sz } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); ggml_vk_dispatch_pipeline(s, *dmmv, { { *d_Qx, qx_offset, qx_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz } }, sizeof(int), &ncols, { (uint32_t)ne01, 1, 1}); - // copy dst to host - float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - ggml_vk_sync_buffers(s.buffer, { { *d_D, d_offset, d_sz } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); - ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, compq, {}, {}, &s); + if (dst->backend == GGML_BACKEND_CPU) { + // copy dst to host + float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); + ggml_vk_sync_buffers(s.buffer, { { *d_D, d_offset, d_sz } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); + ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, compq, {}, {}, &s); + } ggml_vk_end_submission(s, {}, {}); @@ -2235,17 +2241,27 @@ static vk_pipeline* ggml_vk_op_get_pipeline(const ggml_tensor * src0, const ggml case GGML_OP_ADD: if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { return &vk_pipeline_add_f32; - } else if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F16) { + } + if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F16) { return &vk_pipeline_add_f16_f32_f16; } return nullptr; + case GGML_OP_GET_ROWS: + GGML_ASSERT(src1->type == GGML_TYPE_I32); + if (dst->type == GGML_TYPE_F16) { + return &vk_pipeline_get_rows[src0->type]; + } + if (dst->type == GGML_TYPE_F32) { + return &vk_pipeline_get_rows_f32[src0->type]; + } + return nullptr; case GGML_OP_MUL: if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { return &vk_pipeline_mul_f32; } return nullptr; case GGML_OP_SCALE: - if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { return &vk_pipeline_scale_f32; } return nullptr; @@ -2265,30 +2281,31 @@ static ggml_vk_func_t ggml_vk_op_get_func(ggml_op op) { static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, float scale=1.0f) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_op_f32((type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; - std::cerr << "), (type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; - std::cerr << "), (type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "), " << ggml_op_name(op) << ")" << std::endl; + std::cerr << "ggml_vk_op_f32((type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; + if (src1 != nullptr) { + std::cerr << "), (type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; + } + std::cerr << "), (type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "), " << ggml_op_name(op) << ")" << std::endl; #endif - GGML_ASSERT(src0->data != nullptr && src1->data != nullptr && dst->data != nullptr); // NOLINT - GGML_ASSERT(!ggml_is_quantized(src0->type) && !ggml_is_quantized(src1->type)); // NOLINT + GGML_ASSERT(!ggml_is_quantized(src0->type) && (src1 == nullptr || !ggml_is_quantized(src1->type))); // NOLINT GGML_ASSERT(dst->extra != nullptr); const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; const int64_t ne02 = src0->ne[2]; const int64_t ne03 = src0->ne[3]; - const int64_t ne0 = ne00 * ne01 * ne02 * ne03; + const int64_t ne0 = ne00 * ne01; const bool use_src1 = src1 != nullptr; const int64_t ne10 = use_src1 ? src1->ne[0] : 0; const int64_t ne11 = use_src1 ? src1->ne[1] : 0; const int64_t ne12 = use_src1 ? src1->ne[2] : 0; const int64_t ne13 = use_src1 ? src1->ne[3] : 0; - const int64_t ne1 = ne10 * ne11 * ne12 * ne13; + const int64_t ne1 = ne10 * ne11; const int64_t nb10 = use_src1 ? src1->nb[0] : 0; const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; - GGML_ASSERT(dst->ne[0] * dst->ne[1] * dst->ne[2] * dst->ne[3] == ne0); - GGML_ASSERT(nb10 == sizeof(float)); + GGML_ASSERT(dst->ne[0] * dst->ne[1] * dst->ne[2] * dst->ne[3] == ne0 * ne02 * ne03); + GGML_ASSERT(!use_src1 || nb10 == sizeof(float)); // NOLINT vk_pipeline * pipeline = ggml_vk_op_get_pipeline(src0, src1, dst, op); ggml_vk_func_t op_func; @@ -2312,18 +2329,21 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g GGML_ASSERT(extra->comp_seqs.empty()); - uint32_t buffer_idx = 0; - - vk_buffer* d_D = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + vk_buffer* d_D; + if (dst->backend == GGML_BACKEND_GPU) { + d_D = (vk_buffer *) dst->data; + } else { + d_D = &vk_prealloc_d; + } vk_buffer* d_X; vk_buffer* d_Y; if (transfer_src0) { - d_X = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx++]]; + d_X = &vk_prealloc_qx; } else { d_X = (vk_buffer *) src0->data; } if (transfer_src1) { - d_Y = &vk_preallocated_buffers[extra->buffer_idx[buffer_idx]]; + d_Y = &vk_prealloc_qy; } else if (use_src1) { d_Y = (vk_buffer *) src1->data; } @@ -2343,22 +2363,22 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g vk::Semaphore s_x; vk::Semaphore s_y; - vk::Semaphore s_mm = ggml_vk_create_semaphore(vk_device.compute_queue); + vk::Semaphore s_mm = ggml_vk_create_semaphore(); std::vector transfer_semaphores; // copy src0 to device if (transfer_src0) { - s_x = ggml_vk_create_semaphore(vk_device.transfer_queues[0]); + s_x = ggml_vk_create_semaphore(); extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x }, nullptr, &extra->memcpys)); transfer_semaphores.push_back(s_x); } if (transfer_src1) { - s_y = ggml_vk_create_semaphore(vk_device.transfer_queues[1]); + s_y = ggml_vk_create_semaphore(); extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y }, nullptr, &extra->memcpys)); transfer_semaphores.push_back(s_y); } - const int64_t i13 = i03%ne13; - const int64_t i12 = i02%ne12; + const int64_t i13 = use_src1 ? i03%ne13 : i03; + const int64_t i12 = use_src1 ? i02%ne12 : i02; pc.y_offset = (i13*ne12*ne11 + i12*ne11) * ne10; vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); @@ -2370,16 +2390,26 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_X) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); } - ggml_vk_end_submission(s, { s_x }, { s_mm }); + ggml_vk_end_submission(s, std::move(transfer_semaphores), { s_mm }); extra->comp_seqs.push_back({ s }); - // copy dst to host - float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { s_mm }, {})); + if (dst->backend == GGML_BACKEND_CPU) { + // copy dst to host + float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { s_mm }, {})); + } } } } +static void ggml_vk_repeat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { + ggml_vk_op_f32(src0, src1, dst, GGML_OP_REPEAT); +} + +static void ggml_vk_get_rows(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { + ggml_vk_op_f32(src0, src1, dst, GGML_OP_GET_ROWS); +} + static void ggml_vk_add(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { ggml_vk_op_f32(src0, src1, dst, GGML_OP_ADD); } @@ -2389,7 +2419,7 @@ static void ggml_vk_mul(const struct ggml_tensor * src0, const struct ggml_tenso } static void ggml_vk_scale(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { - ggml_vk_op_f32(src0, src1, dst, GGML_OP_SCALE, ((float *)src1->data)[0]); + ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_SCALE, ((float *)src1->data)[0]); } void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { @@ -2422,36 +2452,67 @@ void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); } +static ggml_vk_tensor_extra_gpu * ggml_vk_preallocate_buffers(uint32_t d_size, uint32_t qx_size, uint32_t qy_size, uint32_t x_size, uint32_t y_size) { + ggml_vk_tensor_extra_gpu * extra = new ggml_vk_tensor_extra_gpu; + + extra->tensor_size = d_size; + + // Check if buffer already exists, increase size if required + if (vk_prealloc_size_d < d_size) { + vk_prealloc_size_d = d_size; + } + if (vk_prealloc_size_qx < qx_size) { + vk_prealloc_size_qx = qx_size; + } + if (vk_prealloc_size_qy < qy_size) { + vk_prealloc_size_qy = qy_size; + } + if (vk_prealloc_size_x < x_size) { + vk_prealloc_size_x = x_size; + } + if (vk_prealloc_size_y < y_size) { + vk_prealloc_size_y = y_size; + } + + vk_gc.extras.push_back(extra); + + return extra; +} + void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ #ifdef VK_DEBUG std::cerr << "ggml_vk_preallocate_buffers_graph(" << node << ")" << std::endl; #endif node->extra = nullptr; + const bool src0_gpu = false; // node->src[0] != nullptr && node->src[0]->extra != nullptr && node->src[0]->backend == GGML_BACKEND_CPU; + const bool src1_gpu = false; // node->src[1] != nullptr && node->src[1]->extra != nullptr && node->src[1]->backend == GGML_BACKEND_CPU; + const bool any_on_device = node->backend == GGML_BACKEND_GPU - || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) - || (node->src[1] != nullptr && node->src[1]->backend == GGML_BACKEND_GPU); + || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT || src0_gpu)) + || (node->src[1] != nullptr && (node->src[1]->backend == GGML_BACKEND_GPU || src1_gpu)); + + if (!any_on_device && node->op != GGML_OP_MUL_MAT) { + return; + } - const ggml_tensor * src0 = node->src[0]; - const ggml_tensor * src1 = node->src[1]; + ggml_tensor * src0 = node->src[0]; + ggml_tensor * src1 = node->src[1]; const bool use_src0 = src0 != nullptr; const int64_t ne00 = use_src0 ? src0->ne[0] : 0; const int64_t ne01 = use_src0 ? src0->ne[1] : 0; const int64_t ne02 = use_src0 ? src0->ne[2] : 0; const int64_t ne03 = use_src0 ? src0->ne[3] : 0; - const int64_t ne0 = ne00 * ne01 * ne02 * ne03; const bool use_src1 = src1 != nullptr; const int64_t ne10 = use_src1 ? src1->ne[0] : 0; const int64_t ne11 = use_src1 ? src1->ne[1] : 0; const int64_t ne12 = use_src1 ? src1->ne[2] : 0; const int64_t ne13 = use_src1 ? src1->ne[3] : 0; - const int64_t ne1 = ne10 * ne11 * ne12 * ne13; const int64_t ne20 = node->ne[0]; const int64_t ne21 = node->ne[1]; const int64_t ne22 = node->ne[2]; const int64_t ne23 = node->ne[3]; - const int64_t ne2 = ne20 * ne21 * ne22 * ne23; const bool transfer_src0 = use_src0 && src0->backend != GGML_BACKEND_GPU; const bool transfer_src1 = use_src1 && src1->backend != GGML_BACKEND_GPU; @@ -2472,112 +2533,83 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ const uint32_t y_sz = use_src1 ? ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne12 * ne13 : 0; const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne22 * ne23; - ggml_vk_tensor_extra_gpu * extra; - - uint32_t idx = 0; - switch (node->op) { + case GGML_OP_REPEAT: + node->extra = ggml_vk_preallocate_buffers(d_sz, qx_sz, 0, 0, 0); + break; + case GGML_OP_GET_ROWS: + node->extra = ggml_vk_preallocate_buffers(0, 0, 0, 0, 0); + break; + case GGML_OP_ADD: + case GGML_OP_SCALE: case GGML_OP_MUL: - if (!any_on_device) { - return; - } - - extra = new ggml_vk_tensor_extra_gpu; - extra->buffer_idx.push_back(idx); - // Check if buffer already exists, increase size if required - if (idx >= vk_preallocated_buffer_sizes.size()) { - vk_preallocated_buffer_sizes.push_back(d_sz); - } else if (vk_preallocated_buffer_sizes[idx] < d_sz) { - vk_preallocated_buffer_sizes[idx] = d_sz; - } - idx++; - if (transfer_src0) { - extra->buffer_idx.push_back(idx); - if (idx >= vk_preallocated_buffer_sizes.size()) { - vk_preallocated_buffer_sizes.push_back(qx_sz); - } else if (vk_preallocated_buffer_sizes[idx] < qx_sz) { - vk_preallocated_buffer_sizes[idx] = qx_sz; - } - idx++; - } - if (transfer_src1) { - extra->buffer_idx.push_back(idx); - if (idx >= vk_preallocated_buffer_sizes.size()) { - vk_preallocated_buffer_sizes.push_back(qy_sz); - } else if (vk_preallocated_buffer_sizes[idx] < qy_sz) { - vk_preallocated_buffer_sizes[idx] = qy_sz; - } - } - node->extra = extra; - vk_gc.extras.push_back(extra); + node->extra = ggml_vk_preallocate_buffers(d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, 0, 0); break; case GGML_OP_MUL_MAT: if (!any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { return; } - extra = new ggml_vk_tensor_extra_gpu; - extra->buffer_idx.push_back(idx); - if (idx >= vk_preallocated_buffer_sizes.size()) { - vk_preallocated_buffer_sizes.push_back(d_sz); - } else if (vk_preallocated_buffer_sizes[idx] < d_sz) { - vk_preallocated_buffer_sizes[idx] = d_sz; - } - idx++; - if (transfer_src0) { - extra->buffer_idx.push_back(idx); - if (idx >= vk_preallocated_buffer_sizes.size()) { - vk_preallocated_buffer_sizes.push_back(qx_sz); - } else if (vk_preallocated_buffer_sizes[idx] < qx_sz) { - vk_preallocated_buffer_sizes[idx] = qx_sz; - } - idx++; - } - if (transfer_src1) { - extra->buffer_idx.push_back(idx); - if (idx >= vk_preallocated_buffer_sizes.size()) { - vk_preallocated_buffer_sizes.push_back(qy_sz); - } else if (vk_preallocated_buffer_sizes[idx] < qy_sz) { - vk_preallocated_buffer_sizes[idx] = qy_sz; - } - idx++; - } - if (qx_needs_dequant) { - extra->buffer_idx.push_back(idx); - if (idx >= vk_preallocated_buffer_sizes.size()) { - vk_preallocated_buffer_sizes.push_back(x_sz); - } else if (vk_preallocated_buffer_sizes[idx] < x_sz) { - vk_preallocated_buffer_sizes[idx] = x_sz; - } - idx++; - } - if (qy_needs_dequant) { - extra->buffer_idx.push_back(idx); - if (idx >= vk_preallocated_buffer_sizes.size()) { - vk_preallocated_buffer_sizes.push_back(y_sz); - } else if (vk_preallocated_buffer_sizes[idx] < y_sz) { - vk_preallocated_buffer_sizes[idx] = y_sz; - } - idx++; - } - node->extra = extra; - vk_gc.extras.push_back(extra); - + node->extra = ggml_vk_preallocate_buffers(d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, qx_needs_dequant ? x_sz : 0, qy_needs_dequant ? y_sz : 0); break; default: - break; + return; } + + // Reuse GPU buffer if previous op is also on GPU + // if (src0_gpu) { + // src0->backend = GGML_BACKEND_GPU; + // ggml_vk_tensor_extra_gpu * src0_extra = (ggml_vk_tensor_extra_gpu *) src0->extra; + + // // Replace with data GPU tensor + // src0->data = malloc(sizeof(vk_buffer)); + // *(vk_buffer*) src0->data = ggml_vk_create_buffer(src0_extra->tensor_size, vk::MemoryPropertyFlagBits::eDeviceLocal); + // } + // if (src1_gpu) { + // src1->backend = GGML_BACKEND_GPU; + // ggml_vk_tensor_extra_gpu * src1_extra = (ggml_vk_tensor_extra_gpu *) src1->extra; + + // // Replace with data GPU tensor + // src1->data = malloc(sizeof(vk_buffer)); + // *(vk_buffer*) src1->data = ggml_vk_create_buffer(src1_extra->tensor_size, vk::MemoryPropertyFlagBits::eDeviceLocal); + // } } void ggml_vk_preallocate_buffers() { - for (size_t i = 0; i < vk_preallocated_buffer_sizes.size(); i++) { - if (i >= vk_preallocated_buffers.size()) { - vk_preallocated_buffers.push_back(ggml_vk_create_buffer(vk_preallocated_buffer_sizes[i], vk::MemoryPropertyFlagBits::eDeviceLocal)); - } else if (vk_preallocated_buffers[i].size < vk_preallocated_buffer_sizes[i]) { - // Resize buffer - ggml_vk_destroy_buffer(vk_preallocated_buffers[i]); - vk_preallocated_buffers[i] = ggml_vk_create_buffer(vk_preallocated_buffer_sizes[i], vk::MemoryPropertyFlagBits::eDeviceLocal); + if (vk_prealloc_d.size < vk_prealloc_size_d) { + // Resize buffer + if (vk_prealloc_d.size > 0) { + ggml_vk_destroy_buffer(vk_prealloc_d); + } + vk_prealloc_d = ggml_vk_create_buffer(vk_prealloc_size_d, vk::MemoryPropertyFlagBits::eDeviceLocal); + } + if (vk_prealloc_qx.size < vk_prealloc_size_qx) { + // Resize buffer + if (vk_prealloc_qx.size > 0) { + ggml_vk_destroy_buffer(vk_prealloc_qx); + } + vk_prealloc_qx = ggml_vk_create_buffer(vk_prealloc_size_qx, vk::MemoryPropertyFlagBits::eDeviceLocal); + } + if (vk_prealloc_qy.size < vk_prealloc_size_qy) { + // Resize buffer + if (vk_prealloc_qy.size > 0) { + ggml_vk_destroy_buffer(vk_prealloc_qy); + } + vk_prealloc_qy = ggml_vk_create_buffer(vk_prealloc_size_qy, vk::MemoryPropertyFlagBits::eDeviceLocal); + } + if (vk_prealloc_x.size < vk_prealloc_size_x) { + // Resize buffer + if (vk_prealloc_x.size > 0) { + ggml_vk_destroy_buffer(vk_prealloc_x); + } + vk_prealloc_x = ggml_vk_create_buffer(vk_prealloc_size_x, vk::MemoryPropertyFlagBits::eDeviceLocal); + } + if (vk_prealloc_y.size < vk_prealloc_size_y) { + // Resize buffer + if (vk_prealloc_y.size > 0) { + ggml_vk_destroy_buffer(vk_prealloc_y); } + vk_prealloc_y = ggml_vk_create_buffer(vk_prealloc_size_y, vk::MemoryPropertyFlagBits::eDeviceLocal); } } @@ -2589,31 +2621,31 @@ void ggml_vk_build_graph(ggml_tensor * node){ || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) || (node->src[1] != nullptr && node->src[1]->backend == GGML_BACKEND_GPU); + if (!any_on_device && node->op != GGML_OP_MUL_MAT) { + return; + } + switch (node->op) { - // case GGML_OP_ADD: - // if (!any_on_device) { - // return false; - // } + case GGML_OP_REPEAT: + ggml_vk_repeat(node->src[0], node->src[1], node); - // func = ggml_vk_add; + break; + case GGML_OP_GET_ROWS: + ggml_vk_get_rows(node->src[0], node->src[1], node); - // break; - case GGML_OP_MUL: - if (!any_on_device) { - return; - } + break; + case GGML_OP_ADD: + ggml_vk_add(node->src[0], node->src[1], node); + break; + case GGML_OP_MUL: ggml_vk_mul(node->src[0], node->src[1], node); break; - // case GGML_OP_SCALE: - // if (!any_on_device) { - // return false; - // } - - // func = ggml_vk_scale; + case GGML_OP_SCALE: + ggml_vk_scale(node->src[0], node->src[1], node); - // break; + break; case GGML_OP_MUL_MAT: if (!any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { return; @@ -2632,33 +2664,20 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) || (tensor->src[0] != nullptr && (tensor->src[0]->backend == GGML_BACKEND_GPU || tensor->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) || (tensor->src[1] != nullptr && tensor->src[1]->backend == GGML_BACKEND_GPU); + if (!any_on_device && tensor->op != GGML_OP_MUL_MAT) { + return false; + } + ggml_vk_tensor_extra_gpu * extra = nullptr; switch (tensor->op) { - // case GGML_OP_ADD: - // if (!any_on_device) { - // return false; - // } - - // func = ggml_vk_add; - - // break; + case GGML_OP_ADD: + case GGML_OP_GET_ROWS: case GGML_OP_MUL: - if (!any_on_device) { - return false; - } - + case GGML_OP_SCALE: extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; break; - // case GGML_OP_SCALE: - // if (!any_on_device) { - // return false; - // } - - // func = ggml_vk_scale; - - // break; case GGML_OP_MUL_MAT: if (!any_on_device && !ggml_vk_can_mul_mat(tensor->src[0], tensor->src[1], tensor)) { return false; @@ -2718,10 +2737,14 @@ void ggml_vk_graph_cleanup() { ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + for (size_t i = 0; i < vk_gc.semaphores.size(); i++) { + vk_device.device.destroySemaphore({ vk_gc.semaphores[i] }); + } + vk_gc.semaphores.clear(); + for (auto * extra : vk_gc.extras) { delete extra; } - vk_gc.extras.clear(); } @@ -2769,11 +2792,6 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) } memcpy(src0_clone->nb, src0->nb, sizeof(size_t) * GGML_MAX_DIMS); - - for (size_t i = 0; i < 4; i++) { - GGML_ASSERT(src0_clone->ne[i] == src0->ne[i]); - GGML_ASSERT(src0_clone->nb[i] == src0->nb[i]); - } } if (src1 != nullptr) { src1_clone = ggml_dup_tensor(ctx, src1); @@ -2790,18 +2808,18 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) } memcpy(src1_clone->nb, src1->nb, sizeof(size_t) * GGML_MAX_DIMS); - - for (size_t i = 0; i < 4; i++) { - GGML_ASSERT(src1_clone->ne[i] == src1->ne[i]); - GGML_ASSERT(src1_clone->nb[i] == src1->nb[i]); - } } if (tensor->op == GGML_OP_MUL_MAT) { tensor_clone = ggml_mul_mat(ctx, src0_clone, src1_clone); } else if (tensor->op == GGML_OP_MUL) { tensor_clone = ggml_mul(ctx, src0_clone, src1_clone); - } else { + } else if (tensor->op == GGML_OP_SCALE) { + tensor_clone = ggml_scale(ctx, src0_clone, src1_clone); + } else if (tensor->op == GGML_OP_ADD) { + tensor_clone = ggml_add(ctx, src1_clone, src1_clone); + }else { + std::cerr << "Missing vk_check_results OP: " << ggml_op_name(tensor->op) << std::endl; GGML_ASSERT(false); } @@ -2831,6 +2849,15 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) ggml_tensor * src0 = tensor->src[0]; ggml_tensor * src1 = tensor->src[1]; + void * tensor_data = tensor->data; + + if (tensor->backend == GGML_BACKEND_GPU) { + const size_t tensor_size = tensor->nb[1] * tensor->ne[1] * tensor->ne[2] * tensor->ne[3]; + tensor_data = malloc(tensor_size); + + ggml_vk_buffer_read((vk_buffer *)tensor->data, 0, tensor_data, tensor_size, vk_device.transfer_queues[0]); + } + double avg_err = 0.0f; for (int i3 = 0; i3 < tensor->ne[3]; i3++) { @@ -2838,17 +2865,17 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) for (int i1 = 0; i1 < tensor->ne[1]; i1++) { for (int i0 = 0; i0 < tensor->ne[0]; i0++) { if (tensor->type == GGML_TYPE_F32) { - float correct = *(float *) ((char *) comp_result + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); - float result = *(float *) ((char *) tensor->data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); + float correct = *(float *) ((char *) comp_result + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); + float result = *(float *) ((char *) tensor_data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); if (std::isnan(correct) || std::isnan(result)) { std::cerr << "ERROR: NaN value in " << ggml_op_name(tensor->op) << " i3=" << i3 << " i2=" << i2 << " i1=" << i1 << " i0=" << i0 << " result=" << result << " correct=" << correct << std::endl; std::cerr << "tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << std::endl; if (tensor->src[0] != nullptr) { - std::cerr << "src0 type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << std::endl; + std::cerr << "src0 " << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << std::endl; } if (tensor->src[1] != nullptr) { - std::cerr << "src1 type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << std::endl; + std::cerr << "src1 " << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << std::endl; } GGML_ASSERT(false); } @@ -2878,6 +2905,10 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) free(comp_result); comp_result = nullptr; + + if (tensor->backend == GGML_BACKEND_GPU) { + free(tensor_data); + } } #endif diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index e72f2223d7485..97073fae7cf98 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -315,7 +315,7 @@ [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { sums[i] = 0.0f; - } + } [[unroll]] for (int block = start_k; block < end_k; block += BK) { [[unroll]] for (int l = 0; l < BM; l += loadstride) { @@ -338,11 +338,11 @@ #else if (ir * BM + loadc + l < p.M && block + loadr < p.K) { buf_a[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(data_a[pos_a + (loadc + l) * p.stride_a + loadr]); - } else { + } else { buf_a[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(0.0f); - } + } #endif - } + } [[unroll]] for (int l = 0; l < BN; l += loadstride) { #if LOAD_VEC == 8 const int idx = pos_b + (loadc + l) * p.stride_b / LOAD_VEC + loadr; @@ -363,11 +363,11 @@ #else if (ic * BN + loadc + l < p.N && block + loadr < p.K) { buf_b[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(data_b[pos_b + (loadc + l) * p.stride_b + loadr]); - } else { + } else { buf_b[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(0.0f); - } + } #endif - } + } barrier(); @@ -379,27 +379,27 @@ [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { [[unroll]] for (int j = 0; j < TM; j++) { cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; - } - } + } + } [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { [[unroll]] for (int j = 0; j < TN; j++) { cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; - } - } + } + } [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { [[unroll]] for (int cc = 0; cc < TN; cc++) { [[unroll]] for (int cr = 0; cr < TM; cr++) { sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += D_TYPE(cache_a[wsir * TM + cr]) * D_TYPE(cache_b[wsic * TN + cc]); - } - } - } - } - } + } + } + } + } + } barrier(); - } + } const int dr = ir * BM + warp_r * WM; const int dc = ic * BN + warp_c * WN; @@ -415,11 +415,11 @@ [[unroll]] for (int cr = 0; cr < TM; cr++) { if (dr_warp + cr < p.M && dc_warp + cc < p.N) { data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; - } - } - } - } - } + } + } + } + } + } } """ @@ -442,7 +442,7 @@ if (glr >= p.M || glc >= p.N) { return; - } + } const int idx = glc * p.M + glr; @@ -450,7 +450,7 @@ for (int i = 0; i < p.k_num; i++) { result += data[i * p.M * p.N + idx]; - } + } data[idx] = result; } @@ -801,19 +801,19 @@ // matrix multiplication tmp[tid] += FLOAT_TYPE(v.x) * FLOAT_TYPE(y[iybs + iqs + 0]); tmp[tid] += FLOAT_TYPE(v.y) * FLOAT_TYPE(y[iybs + iqs + y_offset]); - } + } // sum up partial sums and write back result barrier(); [[unroll]] for (int s = block_size/2; s > 0; s >>= 1) { if (tid < s) { tmp[tid] += tmp[tid + s]; - } + } barrier(); - } + } if (tid == 0) { dst[row] = D_TYPE(tmp[0]); - } + } } """ @@ -887,12 +887,12 @@ [[unroll]] for (int s = 16; s > 0; s >>= 1) { if (tid < s) { tmp[tid] += tmp[tid + s]; - } + } barrier(); - } + } if (tid == 0) { dst[row] = D_TYPE(tmp[0]); - } + } } """ mul_mat_vec_q3_K_body = """ @@ -957,12 +957,12 @@ [[unroll]] for (int s = 16; s > 0; s >>= 1) { if (tid < s) { tmp[tid] += tmp[tid + s]; - } + } barrier(); - } + } if (tid == 0) { dst[row] = D_TYPE(tmp[0]); - } + } } """ mul_mat_vec_q4_K_body = """ @@ -1076,12 +1076,12 @@ [[unroll]] for (int s = 16; s > 0; s >>= 1) { if (tid < s) { tmp[tid] += tmp[tid + s]; - } + } barrier(); - } + } if (tid == 0) { dst[row] = D_TYPE(tmp[0]); - } + } } """ mul_mat_vec_q5_K_body = """ @@ -1191,12 +1191,12 @@ [[unroll]] for (int s = 16; s > 0; s >>= 1) { if (tid < s) { tmp[tid] += tmp[tid + s]; - } + } barrier(); - } + } if (tid == 0) { dst[row] = D_TYPE(tmp[0]); - } + } } """ mul_mat_vec_q6_K_body = """ @@ -1276,10 +1276,10 @@ tmp[tid] += tmp[tid + s]; } barrier(); - } + } if (tid == 0) { dst[row] = D_TYPE(tmp[0]); - } + } } """ @@ -1307,7 +1307,7 @@ if (row < p.K && col < p.M) { data_b[col * p.stride_b + row] = float16_t(data_a[col * p.stride_a + row]); - } + } } """ @@ -1339,7 +1339,7 @@ if (x >= p.M || y >= p.N) { return; - } + } data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(data_x[p.x_offset + y * p.stride_x + x]) * D_TYPE(data_y[p.y_offset + x]); } @@ -1377,7 +1377,7 @@ if (x >= p.M || y >= p.N) { return; - } + } data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(FLOAT_TYPE(data_x[p.x_offset + y * p.stride_x + x]) + FLOAT_TYPE(data_y[p.y_offset + x])); } @@ -1410,12 +1410,65 @@ if (x >= p.M || y >= p.N) { return; - } + } data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(data_x[p.x_offset + y * p.stride_x + x]) * D_TYPE(p.scale); } """ +# GET_ROWS +get_rows_head = """#version 450 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require +#extension GL_EXT_shader_8bit_storage : require +""" + +get_rows_body = """layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; + +layout (binding = 0) buffer X {A_TYPE x[];}; +layout (binding = 1) buffer Y {int y[];}; +layout (binding = 2) buffer D {D_TYPE dst[];}; + +layout (push_constant) uniform parameter +{ + int M; + int N; + int stride_x; + int stride_y; + int stride_d; + int x_offset; + int y_offset; + int d_offset; + float scale; +} p; + +void main() { + const int col = int(gl_GlobalInvocationID.x) * 2; + const int row = int(gl_GlobalInvocationID.y); + + if (col >= p.M) { + return; + } + + const int r = y[row]; + + // copy x[r*p.M + col] to dst[row*p.M + col] + const int xi = r*p.M + col; + const int di = row*p.M + col; + + const int ib = xi/QUANT_K; // block index + const int iqs = (xi%QUANT_K)/QUANT_R; // quant index + const int iybs = di - di%QUANT_K; // y block start index + const int y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; + + DEQUANT_FUNC + + dst[iybs + iqs + 0] = D_TYPE(v.x); + dst[iybs + iqs + y_offset] = D_TYPE(v.y); +} +""" + GLSLC = "glslc" VK_NUM_TYPES = 16 @@ -1622,6 +1675,29 @@ async def main(): tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float16_t", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) + # get_rows + for i in range(0, VK_NUM_TYPES): + stream.clear(); + stream.extend((get_rows_head, shader_int8_ext, shader_float_type)) + + if i == GGML_TYPE_F16: + stream.extend((shader_f16_defines, shader_f16_dequant_func_compat if not fp16 else shader_f16_dequant_func, get_rows_body)) + elif i == GGML_TYPE_Q4_0: + stream.extend((shader_q4_0_defines, shader_q4_0_dequant_func_compat if not fp16 else shader_q4_0_dequant_func, get_rows_body)) + elif i == GGML_TYPE_Q4_1: + stream.extend((shader_q4_1_defines, shader_q4_1_dequant_func_compat if not fp16 else shader_q4_1_dequant_func, get_rows_body)) + elif i == GGML_TYPE_Q5_0: + stream.extend((shader_q5_0_defines, shader_q5_0_dequant_func_compat if not fp16 else shader_q5_0_dequant_func, get_rows_body)) + elif i == GGML_TYPE_Q5_1: + stream.extend((shader_q5_1_defines, shader_q5_1_dequant_func_compat if not fp16 else shader_q5_1_dequant_func, get_rows_body)) + elif i == GGML_TYPE_Q8_0: + stream.extend((shader_q8_0_defines, shader_q8_0_dequant_func_compat if not fp16 else shader_q8_0_dequant_func, get_rows_body)) + else: + continue + + tasks.append(string_to_spv(f"get_rows_{type_names[i]}", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float16_t"}, fp16)) + tasks.append(string_to_spv(f"get_rows_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float"}, fp16)) + # add stream.clear(); From 2c7fa8de5abc78f38212448854e7adaa42caeb5c Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 31 Oct 2023 14:24:37 +0100 Subject: [PATCH 100/142] Reduce number of used semaphores by utilizing timelines more properly --- ggml-vulkan.cpp | 162 +++++++++++++++++++++++------------------------- 1 file changed, 77 insertions(+), 85 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 8a8d33068f63f..11cff1478e84c 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -27,8 +27,8 @@ #include #include #include -#include #include +#include #include "ggml.h" @@ -91,21 +91,6 @@ struct vk_pipeline { }; struct vk_queue { - vk_queue() {} - vk_queue(const vk_queue& b) : queue_family_index(b.queue_family_index), queue(b.queue), pool(b.pool), cmd_buffer_idx(b.cmd_buffer_idx), cmd_buffers(b.cmd_buffers), stage_flags(b.stage_flags) {} - - vk_queue& operator=(const vk_queue& b) { - if (this != &b) { - queue_family_index = b.queue_family_index; - queue = b.queue; - pool = b.pool; - cmd_buffer_idx = b.cmd_buffer_idx; - cmd_buffers = b.cmd_buffers; - stage_flags = b.stage_flags; - } - return *this; - } - uint32_t queue_family_index; vk::Queue queue; vk::CommandPool pool; @@ -113,14 +98,17 @@ struct vk_queue { std::vector cmd_buffers; vk::PipelineStageFlags stage_flags; +}; - std::mutex mutex; +struct vk_semaphore { + vk::Semaphore s; + uint64_t value; }; struct vk_submission { vk::CommandBuffer buffer; - std::vector wait_semaphores; - std::vector signal_semaphores; + std::vector wait_semaphores; + std::vector signal_semaphores; }; typedef std::vector vk_sequence; @@ -382,7 +370,7 @@ static vk::CommandBuffer ggml_vk_create_cmd_buffer(vk_queue& q) { return buf; } -static vk_submission ggml_vk_create_submission(vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { +static vk_submission ggml_vk_create_submission(vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_submission()" << std::endl; #endif @@ -393,7 +381,7 @@ static vk_submission ggml_vk_create_submission(vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { +static vk_sequence ggml_vk_create_sequence_1(vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_sequence_1()" << std::endl; #endif @@ -410,6 +398,8 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: std::vector> tl_wait_vals; std::vector> tl_signal_vals; + std::vector> tl_wait_semaphores; + std::vector> tl_signal_semaphores; std::vector tl_submit_infos; std::vector submit_infos; int idx = -1; @@ -422,7 +412,9 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: } // Pre-reserve vectors to prevent reallocation, which invalidates pointers + tl_wait_semaphores.reserve(reserve); tl_wait_vals.reserve(reserve); + tl_signal_semaphores.reserve(reserve); tl_signal_vals.reserve(reserve); tl_submit_infos.reserve(reserve); submit_infos.reserve(reserve); @@ -432,13 +424,21 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: for (const auto& submission : sequence) { stage_flags.push_back({}); idx++; + tl_wait_vals.push_back({}); + tl_wait_semaphores.push_back({}); + tl_signal_vals.push_back({}); + tl_signal_semaphores.push_back({}); for (size_t i = 0; i < submission.wait_semaphores.size(); i++) { stage_flags[idx].push_back(q.stage_flags); + GGML_ASSERT(submission.wait_semaphores[i].value > 0); + tl_wait_vals[idx].push_back(submission.wait_semaphores[i].value); + tl_wait_semaphores[idx].push_back(submission.wait_semaphores[i].s); + } + for (size_t i = 0; i < submission.signal_semaphores.size(); i++) { + GGML_ASSERT(submission.signal_semaphores[i].value > 0); + tl_signal_vals[idx].push_back(submission.signal_semaphores[i].value); + tl_signal_semaphores[idx].push_back(submission.signal_semaphores[i].s); } - tl_wait_vals.push_back({}); - tl_wait_vals[idx].assign(submission.wait_semaphores.size(), 1); - tl_signal_vals.push_back({}); - tl_signal_vals[idx].assign(submission.signal_semaphores.size(), 1); tl_submit_infos.push_back({ (uint32_t) submission.wait_semaphores.size(), tl_wait_vals[idx].data(), @@ -449,19 +449,17 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: tl_submit_infos[idx].pNext = nullptr; submit_infos.push_back({ (uint32_t) submission.wait_semaphores.size(), - submission.wait_semaphores.data(), + tl_wait_semaphores[idx].data(), stage_flags[idx].data(), 1, &submission.buffer, (uint32_t) submission.signal_semaphores.size(), - submission.signal_semaphores.data(), -+ &tl_submit_infos[idx], + tl_signal_semaphores[idx].data(), + &tl_submit_infos[idx], }); } } - std::lock_guard guard(q.mutex); - q.queue.submit(submit_infos, fence); sequences.clear(); @@ -1295,14 +1293,14 @@ static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, s s.buffer.dispatch(wg0, wg1, wg2); } -static void ggml_vk_end_submission(vk_submission& s, std::vector wait_semaphores, std::vector signal_semaphores) { +static void ggml_vk_end_submission(vk_submission& s, std::vector wait_semaphores, std::vector signal_semaphores) { s.buffer.end(); s.wait_semaphores = std::move(wait_semaphores); s.signal_semaphores = std::move(signal_semaphores); } -static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { +static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; #endif @@ -1422,7 +1420,7 @@ static inline size_t ggml_vk_align_size(size_t width, size_t align) { return CEIL_DIV(width, align) * align; } -static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { +static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; #endif @@ -1436,7 +1434,7 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1, q); } -static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr) { +static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_read_async(" << size << ")" << std::endl; #endif @@ -1546,7 +1544,6 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ nullptr, 1, &cmd_buffer); - std::lock_guard guard(q.mutex); q.queue.submit({ submit_info }, fence); vk::resultCheck(vk_device.device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read staging waitForFences"); vk_device.device.destroyFence(fence); @@ -1554,7 +1551,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } } -static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { +static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_h2d_tensor_2d()" << std::endl; #endif @@ -1679,7 +1676,7 @@ static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16_x, bool bit16_y, in return aligned ? &vk_pipeline_matmul_f32_aligned_l : &vk_pipeline_matmul_f32_l; } -static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, int m, int n, int k, int stride_a, int stride_b, int stride_d, int split_k, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { +static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, int m, int n, int k, int stride_a, int stride_b, int stride_d, int split_k, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_matmul(" << m << ", " << n << ", " << k << ")" << std::endl; #endif @@ -1767,7 +1764,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne12 * ne13); } - std::vector x_semaphores; + std::vector x_semaphores; if (load_x) { for (int64_t i03 = 0; i03 < ne03; i03++) { @@ -1775,9 +1772,9 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const uint32_t x_offset = load_x ? x_sz * (i03 * ne02 + i02) : 0; // copy data to device vk::Semaphore s = ggml_vk_create_semaphore(); - x_semaphores.push_back(s); + x_semaphores.push_back({ s, 1 }); // Wait for previous matmul to be done before writing to the input buffers again - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s }, nullptr, &extra->memcpys)); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { { s, 1 } }, nullptr, &extra->memcpys)); } } } @@ -1791,24 +1788,22 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const uint32_t y_offset = y_sz * (i13 * ne12 + i12); const uint32_t d_offset = d_sz * (i13 * ne12 + i12); - vk::Semaphore s_x; + vk::Semaphore s = ggml_vk_create_semaphore(); + std::vector semaphores = { { s, 1 } }; + if (load_x) { - s_x = x_semaphores[i03 * ne02 + i02]; + semaphores.push_back(x_semaphores[i03 * ne02 + i02]); } - vk::Semaphore s_y = ggml_vk_create_semaphore(); - std::vector semaphores = { s_y }; - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i13, i12, vk_device.transfer_queues[1], {}, { s_y }, nullptr, &extra->memcpys)); + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i13, i12, vk_device.transfer_queues[1], {}, { { s, 1 } }, nullptr, &extra->memcpys)); // compute - vk::Semaphore s_mm = ggml_vk_create_semaphore(); - - extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(semaphores), { s_mm })); + extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(semaphores), { { s, 2 } })); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[1], { s_mm }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[1], { { s, 2 } }, {})); } } } @@ -1922,7 +1917,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne12 * ne13); } - std::vector x_semaphores; + std::vector x_semaphores; for (int64_t i03 = 0; i03 < ne03; i03++) { for (int64_t i02 = 0; i02 < ne02; i02++) { @@ -1930,17 +1925,17 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const uint32_t qx_offset = qx_sz * it_idx0; const uint32_t x_offset = x_sz * it_idx0; - vk::Semaphore s_qx; - vk::Semaphore s_x; + // TODO: Find out why one semaphore doesn't work + vk::Semaphore sem = ggml_vk_create_semaphore(); + vk::Semaphore sem2 = ggml_vk_create_semaphore(); if (load_x) { // copy data to device - s_qx = ggml_vk_create_semaphore(); - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_qx }, nullptr, &extra->memcpys)); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, tr0q, {}, { { sem2, 1 } }, nullptr, &extra->memcpys)); } if (qx_needs_dequant) { - s_x = ggml_vk_create_semaphore(); + sem = ggml_vk_create_semaphore(); vk_submission s = ggml_vk_begin_submission(compq); const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; @@ -1948,16 +1943,18 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); ggml_vk_dispatch_pipeline(s, *to_fp16_vk_0, { { *d_Qx, qx_offset, qx_sz }, { *d_X, x_offset, x_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); if (load_x) { - ggml_vk_end_submission(s, { s_qx }, { s_x }); + ggml_vk_end_submission(s, { { sem2, 1 } }, { { sem, 1 } }); } else { - ggml_vk_end_submission(s, {}, { s_x }); + ggml_vk_end_submission(s, {}, { { sem, 1 } }); } extra->comp_seqs.push_back({ s }); - x_semaphores.push_back(s_x); + x_semaphores.push_back({ sem, 1 }); + } else if (load_x) { + x_semaphores.push_back({ sem2, 1 }); } else { - x_semaphores.push_back(s_qx); + x_semaphores.push_back({ sem, 0 }); } } } @@ -1969,35 +1966,32 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const uint32_t it_idx0 = (i03 * ne02 + i02); const uint32_t it_idx1 = (i13 * ne12 + i12); - const uint32_t qx_offset = load_x ? qx_sz * it_idx0 : 0; const uint32_t qy_offset = load_y ? qy_sz * it_idx1 : 0; const uint32_t x_offset = x_sz * it_idx0; const uint32_t y_offset = y_sz * it_idx1; const uint32_t d_offset = d_sz * it_idx1; - vk::Semaphore s_y; - vk::Semaphore s_q; - - const vk::Semaphore s_mm = ggml_vk_create_semaphore(); + const vk::Semaphore sem = ggml_vk_create_semaphore(); - std::vector mm_semaphores; + std::vector mm_semaphores; if (load_x) { mm_semaphores.push_back(x_semaphores[it_idx0]); } if (load_y) { - s_y = ggml_vk_create_semaphore(); - mm_semaphores.push_back(s_y); - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, tr1q, {}, { s_y }, nullptr, &extra->memcpys)); + // Set semaphore to 1 + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, tr1q, {}, { { sem, 1 }}, nullptr, &extra->memcpys)); + // Wait for semaphore val 1 + mm_semaphores.push_back({ sem, 1 }); } // compute - extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, compq, std::move(mm_semaphores), { s_mm })); + extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, compq, std::move(mm_semaphores), { { sem, 2 } })); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, tr1q, { s_mm }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, tr1q, { { sem, 2 } }, {})); } } } @@ -2095,7 +2089,7 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso vk_submission s = ggml_vk_begin_submission(compq); - vk::Semaphore s_x; + vk_semaphore s_x; if (load_y) { ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, compq, {}, {}, &s, &extra->memcpys); } @@ -2335,8 +2329,8 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g } else { d_D = &vk_prealloc_d; } - vk_buffer* d_X; - vk_buffer* d_Y; + vk_buffer* d_X = nullptr; + vk_buffer* d_Y = nullptr; if (transfer_src0) { d_X = &vk_prealloc_qx; } else { @@ -2361,20 +2355,18 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g const uint32_t y_offset = transfer_src1 ? y_sz * it_idx : 0; const uint32_t d_offset = d_sz * it_idx; - vk::Semaphore s_x; - vk::Semaphore s_y; - vk::Semaphore s_mm = ggml_vk_create_semaphore(); - std::vector transfer_semaphores; + const vk::Semaphore sem = ggml_vk_create_semaphore(); + vk::Semaphore sem_x; + std::vector transfer_semaphores; // copy src0 to device if (transfer_src0) { - s_x = ggml_vk_create_semaphore(); - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { s_x }, nullptr, &extra->memcpys)); - transfer_semaphores.push_back(s_x); + sem_x = ggml_vk_create_semaphore(); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { { sem_x, 1} }, nullptr, &extra->memcpys)); + transfer_semaphores.push_back({ sem_x, 1 }); } if (transfer_src1) { - s_y = ggml_vk_create_semaphore(); - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { s_y }, nullptr, &extra->memcpys)); - transfer_semaphores.push_back(s_y); + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { { sem, 1 } }, nullptr, &extra->memcpys)); + transfer_semaphores.push_back({ sem, 1 }); } const int64_t i13 = use_src1 ? i03%ne13 : i03; @@ -2390,13 +2382,13 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_X) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); } - ggml_vk_end_submission(s, std::move(transfer_semaphores), { s_mm }); + ggml_vk_end_submission(s, std::move(transfer_semaphores), { { sem, 2 } }); extra->comp_seqs.push_back({ s }); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { s_mm }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { { sem, 2 } }, {})); } } } From 80bfc59692c7fdf01f294254de990d108be162ec Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 31 Oct 2023 14:29:36 +0100 Subject: [PATCH 101/142] Remove queue information --- ggml-vulkan.cpp | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 11cff1478e84c..ffc0583c51e98 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -928,13 +928,6 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; } } - std::cerr << "Queue Families:" << std::endl; - for(size_t i = 0; i < queue_family_props.size(); i++) { - std::cerr << i << ": Queues: " + std::to_string(queue_family_props[i].queueCount) << " flags: " + to_string(queue_family_props[i].queueFlags) << std::endl; - } - - std::cerr << "Using compute queue family " << compute_queue_family_index << " and transfer queue family " << transfer_queue_family_index << std::endl; - const float compute_queue_priority = 1.0f; const float transfer_queue_priority[] = { 1.0f, 1.0f, 1.0f }; std::vector device_queue_create_infos; @@ -970,6 +963,7 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; if (!vk11_features.storageBuffer16BitAccess) { std::cerr << "ggml_vulkan: device does not support 16-bit storage" << std::endl; + GGML_ASSERT(false); } device_extensions.push_back("VK_KHR_16bit_storage"); From 2e01682a56aac984cdd8176de92fea703905a6ca Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 1 Nov 2023 21:46:54 +0100 Subject: [PATCH 102/142] Reuse timeline semaphores, allow parallel operation with binary semaphores to work around nvidia driver limitations --- ggml-vulkan.cpp | 127 ++++++++++++++++++++++++++++-------------------- 1 file changed, 75 insertions(+), 52 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index ffc0583c51e98..7fd149314cd98 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -146,13 +146,6 @@ struct vk_staging_memcpy { }; struct ggml_vk_tensor_extra_gpu { - uint32_t batch_size; - uint32_t d_buf_idx; - uint32_t qx_buf_idx; - uint32_t qy_buf_idx; - uint32_t x_buf_idx; - uint32_t y_buf_idx; - std::vector memcpys; std::vector in0_seqs; std::vector in1_seqs; @@ -165,7 +158,8 @@ struct ggml_vk_tensor_extra_gpu { struct ggml_vk_garbage_collector { std::vector pipelines; std::vector extras; - std::vector semaphores; + std::vector tl_semaphores; + std::vector semaphores; }; vk::Instance vk_instance; @@ -186,6 +180,7 @@ vk_pipeline vk_pipeline_mul_f32; vk_pipeline vk_pipeline_add_f32, vk_pipeline_add_f16_f32_f16; vk_pipeline vk_pipeline_scale_f32; +static size_t vk_semaphore_idx; static ggml_vk_garbage_collector vk_gc; static std::vector> vk_pinned_memory; static size_t vk_prealloc_size_d, vk_prealloc_size_qx, vk_prealloc_size_qy, vk_prealloc_size_x, vk_prealloc_size_y; @@ -430,12 +425,10 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: tl_signal_semaphores.push_back({}); for (size_t i = 0; i < submission.wait_semaphores.size(); i++) { stage_flags[idx].push_back(q.stage_flags); - GGML_ASSERT(submission.wait_semaphores[i].value > 0); tl_wait_vals[idx].push_back(submission.wait_semaphores[i].value); tl_wait_semaphores[idx].push_back(submission.wait_semaphores[i].s); } for (size_t i = 0; i < submission.signal_semaphores.size(); i++) { - GGML_ASSERT(submission.signal_semaphores[i].value > 0); tl_signal_vals[idx].push_back(submission.signal_semaphores[i].value); tl_signal_semaphores[idx].push_back(submission.signal_semaphores[i].s); } @@ -526,15 +519,27 @@ static vk_queue ggml_vk_create_queue(uint32_t queue_family_index, uint32_t queue return q; } -static vk::Semaphore ggml_vk_create_semaphore() { +static vk_semaphore * ggml_vk_create_binary_semaphore() { #ifdef VK_DEBUG - std::cerr << "ggml_vk_create_semaphore()" << std::endl; + std::cerr << "ggml_vk_create_timeline_semaphore()" << std::endl; #endif - vk::SemaphoreTypeCreateInfo info{ vk::SemaphoreType::eTimeline, 0 }; + vk::SemaphoreTypeCreateInfo info{ vk::SemaphoreType::eBinary, 0 }; vk::Semaphore semaphore = vk_device.device.createSemaphore(vk::SemaphoreCreateInfo{ {}, &info }); - vk_gc.semaphores.push_back(semaphore); + vk_gc.semaphores.push_back({ semaphore, 0 }); + return &vk_gc.semaphores[vk_gc.semaphores.size() - 1]; +} - return semaphore; +static vk_semaphore * ggml_vk_create_timeline_semaphore() { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_create_timeline_semaphore()" << std::endl; +#endif + if (vk_semaphore_idx >= vk_gc.tl_semaphores.size()) { + vk::SemaphoreTypeCreateInfo info{ vk::SemaphoreType::eTimeline, 0 }; + vk::Semaphore semaphore = vk_device.device.createSemaphore(vk::SemaphoreCreateInfo{ {}, &info }); + vk_gc.tl_semaphores.push_back({ semaphore, 0 }); + return &vk_gc.tl_semaphores[vk_semaphore_idx++]; + } + return &vk_gc.tl_semaphores[vk_semaphore_idx++]; } static void ggml_vk_queue_cleanup(vk_queue& q) { @@ -1765,10 +1770,11 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr for (int64_t i02 = 0; i02 < ne02; i02++) { const uint32_t x_offset = load_x ? x_sz * (i03 * ne02 + i02) : 0; // copy data to device - vk::Semaphore s = ggml_vk_create_semaphore(); - x_semaphores.push_back({ s, 1 }); + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); + x_semaphores.push_back({ sem->s, sem->value + 1 }); // Wait for previous matmul to be done before writing to the input buffers again - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { { s, 1 } }, nullptr, &extra->memcpys)); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); + sem->value += 1; } } } @@ -1782,23 +1788,25 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const uint32_t y_offset = y_sz * (i13 * ne12 + i12); const uint32_t d_offset = d_sz * (i13 * ne12 + i12); - vk::Semaphore s = ggml_vk_create_semaphore(); - std::vector semaphores = { { s, 1 } }; + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); + std::vector semaphores = { { sem->s, sem->value + 1 } }; if (load_x) { semaphores.push_back(x_semaphores[i03 * ne02 + i02]); } - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i13, i12, vk_device.transfer_queues[1], {}, { { s, 1 } }, nullptr, &extra->memcpys)); + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i13, i12, vk_device.transfer_queues[1], {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); // compute - extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(semaphores), { { s, 2 } })); + extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(semaphores), { { sem->s, sem->value + 2 } })); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[1], { { s, 2 } }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[1], { { sem->s, sem->value + 2 } }, {})); } + + sem->value += 2; } } } @@ -1919,37 +1927,35 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const uint32_t qx_offset = qx_sz * it_idx0; const uint32_t x_offset = x_sz * it_idx0; - // TODO: Find out why one semaphore doesn't work - vk::Semaphore sem = ggml_vk_create_semaphore(); - vk::Semaphore sem2 = ggml_vk_create_semaphore(); + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); if (load_x) { // copy data to device - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, tr0q, {}, { { sem2, 1 } }, nullptr, &extra->memcpys)); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, tr0q, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); } if (qx_needs_dequant) { - sem = ggml_vk_create_semaphore(); - vk_submission s = ggml_vk_begin_submission(compq); const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_offset, qx_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); ggml_vk_dispatch_pipeline(s, *to_fp16_vk_0, { { *d_Qx, qx_offset, qx_sz }, { *d_X, x_offset, x_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); if (load_x) { - ggml_vk_end_submission(s, { { sem2, 1 } }, { { sem, 1 } }); + ggml_vk_end_submission(s, { { sem->s, sem->value + 1 } }, { { sem->s, sem->value + 2 } }); } else { - ggml_vk_end_submission(s, {}, { { sem, 1 } }); + ggml_vk_end_submission(s, {}, { { sem->s, sem->value + 2 } }); } extra->comp_seqs.push_back({ s }); - x_semaphores.push_back({ sem, 1 }); + x_semaphores.push_back({ sem->s, sem->value + 2 }); } else if (load_x) { - x_semaphores.push_back({ sem2, 1 }); + x_semaphores.push_back({ sem->s, sem->value + 1 }); } else { - x_semaphores.push_back({ sem, 0 }); + x_semaphores.push_back({ sem->s, sem->value }); } + + sem->value += 2; } } @@ -1965,7 +1971,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const uint32_t y_offset = y_sz * it_idx1; const uint32_t d_offset = d_sz * it_idx1; - const vk::Semaphore sem = ggml_vk_create_semaphore(); + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); std::vector mm_semaphores; @@ -1974,19 +1980,21 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } if (load_y) { // Set semaphore to 1 - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, tr1q, {}, { { sem, 1 }}, nullptr, &extra->memcpys)); + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, tr1q, {}, { { sem->s, sem->value + 1 }}, nullptr, &extra->memcpys)); // Wait for semaphore val 1 - mm_semaphores.push_back({ sem, 1 }); + mm_semaphores.push_back({ sem->s, sem->value + 1 }); } // compute - extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, compq, std::move(mm_semaphores), { { sem, 2 } })); + extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, compq, std::move(mm_semaphores), { { sem->s, sem->value + 2 } })); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, tr1q, { { sem, 2 } }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, tr1q, { { sem->s, sem->value + 2 } }, {})); } + + sem->value += 2; } } } @@ -2349,18 +2357,18 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g const uint32_t y_offset = transfer_src1 ? y_sz * it_idx : 0; const uint32_t d_offset = d_sz * it_idx; - const vk::Semaphore sem = ggml_vk_create_semaphore(); - vk::Semaphore sem_x; + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); + vk_semaphore * sem_x; std::vector transfer_semaphores; // copy src0 to device if (transfer_src0) { - sem_x = ggml_vk_create_semaphore(); - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { { sem_x, 1} }, nullptr, &extra->memcpys)); - transfer_semaphores.push_back({ sem_x, 1 }); + sem_x = ggml_vk_create_binary_semaphore(); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { *sem_x }, nullptr, &extra->memcpys)); + transfer_semaphores.push_back(*sem_x); } if (transfer_src1) { - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { { sem, 1 } }, nullptr, &extra->memcpys)); - transfer_semaphores.push_back({ sem, 1 }); + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); + transfer_semaphores.push_back({ sem->s, sem->value + 1 }); } const int64_t i13 = use_src1 ? i03%ne13 : i03; @@ -2376,14 +2384,16 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_X) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); } - ggml_vk_end_submission(s, std::move(transfer_semaphores), { { sem, 2 } }); + ggml_vk_end_submission(s, std::move(transfer_semaphores), { { sem->s, sem->value + 2 } }); extra->comp_seqs.push_back({ s }); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { { sem, 2 } }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { { sem->s, sem->value + 2 } }, {})); } + + sem->value += 2; } } } @@ -2600,9 +2610,6 @@ void ggml_vk_preallocate_buffers() { } void ggml_vk_build_graph(ggml_tensor * node){ -#ifdef VK_DEBUG - std::cerr << "ggml_vk_build_graph(" << node << ")" << std::endl; -#endif const bool any_on_device = node->backend == GGML_BACKEND_GPU || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) || (node->src[1] != nullptr && node->src[1]->backend == GGML_BACKEND_GPU); @@ -2611,6 +2618,12 @@ void ggml_vk_build_graph(ggml_tensor * node){ return; } +#ifdef VK_DEBUG + std::cerr << "ggml_vk_build_graph(" << node << ")" << std::endl; +#endif + + vk_semaphore_idx = 0; + switch (node->op) { case GGML_OP_REPEAT: ggml_vk_repeat(node->src[0], node->src[1], node); @@ -2688,6 +2701,10 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) return true; } +#ifdef VK_DEBUG + std::cerr << "ggml_vk_compute_forward(" << params << ", " << tensor << ")" << std::endl; +#endif + #ifdef GGML_VULKAN_CHECK_RESULTS ggml_vk_check_results_0(params, tensor); #endif @@ -2718,16 +2735,22 @@ void ggml_vk_graph_cleanup() { for (auto * pipeline : vk_gc.pipelines) { ggml_vk_pipeline_cleanup(*pipeline); } + vk_gc.pipelines.clear(); ggml_vk_queue_cleanup(vk_device.compute_queue); ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); for (size_t i = 0; i < vk_gc.semaphores.size(); i++) { - vk_device.device.destroySemaphore({ vk_gc.semaphores[i] }); + vk_device.device.destroySemaphore({ vk_gc.semaphores[i].s }); } vk_gc.semaphores.clear(); + for (size_t i = 0; i < vk_gc.tl_semaphores.size(); i++) { + vk_device.device.destroySemaphore({ vk_gc.tl_semaphores[i].s }); + } + vk_gc.tl_semaphores.clear(); + for (auto * extra : vk_gc.extras) { delete extra; } From 4b7eccc7da88e2e6bb92308ca9d1663947658c2e Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 1 Nov 2023 22:22:57 +0100 Subject: [PATCH 103/142] Add Vulkan to llama-bench --- examples/llama-bench/llama-bench.cpp | 11 ++++++++--- ggml.c | 10 +++++++++- ggml.h | 1 + llama.cpp | 2 +- 4 files changed, 19 insertions(+), 5 deletions(-) diff --git a/examples/llama-bench/llama-bench.cpp b/examples/llama-bench/llama-bench.cpp index 20767d555b206..1c1ea0d1750da 100644 --- a/examples/llama-bench/llama-bench.cpp +++ b/examples/llama-bench/llama-bench.cpp @@ -479,6 +479,7 @@ struct test { static const int build_number; static const bool cuda; static const bool opencl; + static const bool vulkan; static const bool metal; static const bool gpu_blas; static const bool blas; @@ -554,6 +555,9 @@ struct test { if (opencl) { return "OpenCL"; } + if (vulkan) { + return "Vulkan"; + } if (metal) { return "Metal"; } @@ -569,7 +573,7 @@ struct test { static const std::vector & get_fields() { static const std::vector fields = { "build_commit", "build_number", - "cuda", "opencl", "metal", "gpu_blas", "blas", + "cuda", "opencl", "vulkan", "metal", "gpu_blas", "blas", "cpu_info", "gpu_info", "model_filename", "model_type", "model_size", "model_n_params", "n_batch", "n_threads", "f16_kv", @@ -591,7 +595,7 @@ struct test { field == "avg_ns" || field == "stddev_ns") { return INT; } - if (field == "cuda" || field == "opencl" || field == "metal" || field == "gpu_blas" || field == "blas" || + if (field == "cuda" || field == "opencl" || field == "vulkan" || field == "metal" || field == "gpu_blas" || field == "blas" || field == "f16_kv" || field == "mul_mat_q") { return BOOL; } @@ -619,7 +623,7 @@ struct test { } std::vector values = { build_commit, std::to_string(build_number), - std::to_string(cuda), std::to_string(opencl), std::to_string(metal), std::to_string(gpu_blas), std::to_string(blas), + std::to_string(cuda), std::to_string(opencl), std::to_string(vulkan), std::to_string(metal), std::to_string(gpu_blas), std::to_string(blas), cpu_info, gpu_info, model_filename, model_type, std::to_string(model_size), std::to_string(model_n_params), std::to_string(n_batch), std::to_string(n_threads), std::to_string(!f32_kv), @@ -645,6 +649,7 @@ const std::string test::build_commit = BUILD_COMMIT; const int test::build_number = BUILD_NUMBER; const bool test::cuda = !!ggml_cpu_has_cublas(); const bool test::opencl = !!ggml_cpu_has_clblast(); +const bool test::vulkan = !!ggml_cpu_has_vulkan(); const bool test::metal = !!ggml_cpu_has_metal(); const bool test::gpu_blas = !!ggml_cpu_has_gpublas(); const bool test::blas = !!ggml_cpu_has_blas(); diff --git a/ggml.c b/ggml.c index d7d972ccbbd11..fd5acbe381d9c 100644 --- a/ggml.c +++ b/ggml.c @@ -22308,8 +22308,16 @@ int ggml_cpu_has_clblast(void) { #endif } +int ggml_cpu_has_vulkan(void) { +#if defined(GGML_USE_VULKAN) + return 1; +#else + return 0; +#endif +} + int ggml_cpu_has_gpublas(void) { - return ggml_cpu_has_cublas() || ggml_cpu_has_clblast(); + return ggml_cpu_has_cublas() || ggml_cpu_has_clblast() || ggml_cpu_has_vulkan(); } int ggml_cpu_has_sse3(void) { diff --git a/ggml.h b/ggml.h index 08bff5511c225..b75727607afbe 100644 --- a/ggml.h +++ b/ggml.h @@ -2078,6 +2078,7 @@ extern "C" { GGML_API int ggml_cpu_has_blas (void); GGML_API int ggml_cpu_has_cublas (void); GGML_API int ggml_cpu_has_clblast (void); + GGML_API int ggml_cpu_has_vulkan (void); GGML_API int ggml_cpu_has_gpublas (void); GGML_API int ggml_cpu_has_sse3 (void); GGML_API int ggml_cpu_has_ssse3 (void); diff --git a/llama.cpp b/llama.cpp index 01cc1fb8fd2cc..b3fab8a6726f7 100644 --- a/llama.cpp +++ b/llama.cpp @@ -2495,7 +2495,7 @@ static void llm_load_tensors( #define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_GPU #define LLAMA_BACKEND_OFFLOAD_SPLIT GGML_BACKEND_GPU #elif defined(GGML_USE_VULKAN) - fprintf(stderr, "%s: using Vulkan for GPU acceleration\n", __func__); + LLAMA_LOG_INFO("%s: using Vulkan for GPU acceleration\n", __func__); #define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_GPU #define LLAMA_BACKEND_OFFLOAD_SPLIT GGML_BACKEND_GPU #else From 00bea85cf21d2061854790aee6c77663989b2027 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 3 Nov 2023 17:45:28 +0100 Subject: [PATCH 104/142] Remove cblas dependency --- Makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 82e8466ce9456..c01ce3844a9c6 100644 --- a/Makefile +++ b/Makefile @@ -455,7 +455,7 @@ endif # LLAMA_CLBLAST ifdef LLAMA_VULKAN CFLAGS += -DGGML_USE_VULKAN CXXFLAGS += -DGGML_USE_VULKAN - LDFLAGS += -lvulkan -lcblas + LDFLAGS += -lvulkan OBJS += ggml-vulkan.o ifdef LLAMA_VULKAN_CHECK_RESULTS From bd7fa3f9e42d7a2199496926bcfa83def55e2984 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 5 Nov 2023 12:24:09 +0100 Subject: [PATCH 105/142] Fix matmul k-split bug --- ggml-vulkan.cpp | 210 +++++++++++++++++++++--------------- ggml_vk_generate_shaders.py | 15 ++- 2 files changed, 128 insertions(+), 97 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 7fd149314cd98..56954cad40db8 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -695,26 +695,26 @@ static void ggml_vk_load_shaders() { auto warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; if (vk_device.fp16) { - vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_len, matmul_f32_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_len, matmul_f32_m_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_len, matmul_f32_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_len, matmul_f32_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_len, matmul_f32_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_len, matmul_f32_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 1); vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_len, matmul_f32_aligned_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_len, matmul_f32_aligned_m_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_len, matmul_f32_aligned_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_len, matmul_f32_aligned_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_len, matmul_f16_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_len, matmul_f16_m_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_len, matmul_f16_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_len, matmul_f16_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_len, matmul_f16_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_len, matmul_f16_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 1); vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_len, matmul_f16_aligned_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_len, matmul_f16_aligned_m_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_len, matmul_f16_aligned_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_len, matmul_f16_aligned_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_len, matmul_f16_f32_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_len, matmul_f16_f32_m_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_len, matmul_f16_f32_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_len, matmul_f16_f32_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_len, matmul_f16_f32_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_len, matmul_f16_f32_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 1); vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_len, matmul_f16_f32_aligned_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_len, matmul_f16_f32_aligned_m_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_len, matmul_f16_f32_aligned_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_len, matmul_f16_f32_aligned_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); // Build dequant shaders @@ -766,26 +766,26 @@ static void ggml_vk_load_shaders() { vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_len, scale_f32_data, "main", 2, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); } else { - vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_fp32_len, matmul_f32_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_fp32_len, matmul_f32_m_fp32_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_fp32_len, matmul_f32_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_fp32_len, matmul_f32_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_fp32_len, matmul_f32_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_fp32_len, matmul_f32_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 1); vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_fp32_len, matmul_f32_aligned_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_fp32_len, matmul_f32_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_fp32_len, matmul_f32_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_fp32_len, matmul_f32_aligned_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_fp32_len, matmul_f16_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_fp32_len, matmul_f16_m_fp32_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_fp32_len, matmul_f16_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_fp32_len, matmul_f16_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_fp32_len, matmul_f16_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_fp32_len, matmul_f16_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 1); vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_fp32_len, matmul_f16_aligned_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_fp32_len, matmul_f16_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_fp32_len, matmul_f16_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_fp32_len, matmul_f16_aligned_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_fp32_len, matmul_f16_f32_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_fp32_len, matmul_f16_f32_m_fp32_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_fp32_len, matmul_f16_f32_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_fp32_len, matmul_f16_f32_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_fp32_len, matmul_f16_f32_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_fp32_len, matmul_f16_f32_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 1); vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_fp32_len, matmul_f16_f32_aligned_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_fp32_len, matmul_f16_f32_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), {64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_fp32_len, matmul_f16_f32_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_fp32_len, matmul_f16_f32_aligned_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); // Build dequant shaders @@ -1013,6 +1013,7 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; ggml_vk_test_transfer(1024 * 1024 * m); } const std::vector vals { + 100, 46, 558, 1024, 2, 4096, 512, 1, 256, 128, 110, 622, @@ -1032,30 +1033,15 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; 4096, 512, 11008, 32000, 512, 4096, }; + const size_t num_it = 100; for (size_t i = 0; i < vals.size(); i += 3) { - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 0); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 0); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 1); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 1); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 2); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 2); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 0); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 0); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 1); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 1); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 2); + ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 2); std::cerr << std::endl; - - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 0); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 0); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 1); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 1); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 2); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 2); - std::cerr << std::endl; - - ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 0); - ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 0); - ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 1); - ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 1); - ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 1, 2); - ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], 1000, 4, 2); - std::cerr << std::endl << std::endl; } #endif } @@ -1583,11 +1569,11 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const st } } -static int ggml_vk_guess_split_k(int m, int n, int k) { +static int ggml_vk_guess_split_k(int m, int n, int k, bool aligned) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_guess_split_k()"; + std::cerr << "ggml_vk_guess_split_k(" << m << ", " << n << ", " << k << ")"; #endif - if (k > 128 && (m < 128 || n < 128)) { + if (aligned && k > 128 && (m < 128 || n < 128)) { #ifdef VK_DEBUG std::cerr << " = 4" << std::endl; #endif @@ -1602,15 +1588,15 @@ static int ggml_vk_guess_split_k(int m, int n, int k) { static uint32_t ggml_vk_guess_matmul_pipeline_align(int m, int n) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_guess_matmul_pipeline_padding()" << std::endl; + std::cerr << "ggml_vk_guess_matmul_pipeline_align(" << m << ", " << n << ")" << std::endl; #endif if (m <= 32 || n <= 32) { - return vk_pipeline_matmul_f32_s.align; + return vk_pipeline_matmul_f32_aligned_s.align; } if (m <= 64 || n <= 64) { - return vk_pipeline_matmul_f32_m.align; + return vk_pipeline_matmul_f32_aligned_m.align; } - return vk_pipeline_matmul_f32_l.align; + return vk_pipeline_matmul_f32_aligned_l.align; } static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16_x, bool bit16_y, int m, int n, bool aligned) { @@ -1690,7 +1676,7 @@ static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_su } // Synchronize the two submissions - const std::vector pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(stride_a, split_k) }; + const std::vector pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k) }; ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc1.size() * sizeof(int), pc1.data(), { (uint32_t)m * split_k, (uint32_t)n, 1 }); ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, true); const std::vector pc2 = { m, n, split_k }; @@ -1726,13 +1712,14 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; - const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); - const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); + const bool aligned = ne10 == kpad; + + const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10, aligned); const bool load_x = src0->backend == GGML_BACKEND_GPU; - vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, false, ne01, ne11, ne10 == kpad); + vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, false, ne01, ne11, aligned); const uint32_t x_sz = ggml_vk_align_size(sizeof(float) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t y_sz = ggml_vk_align_size(sizeof(float) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); @@ -1848,11 +1835,12 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; - const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); - const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); + const bool aligned = ne10 == kpad; + + const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10, aligned); - vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, !f16_f32_kernel, ne01, ne11, ne10 == kpad); + vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, !f16_f32_kernel, ne01, ne11, aligned); const uint32_t qx_sz = ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t qy_sz = ggml_vk_align_size(ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); @@ -2518,7 +2506,14 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ const bool f16_f32_kernel = use_src1 && src1->type == GGML_TYPE_F32; const bool qy_needs_dequant = use_src1 && src1->type != GGML_TYPE_F16 && !f16_f32_kernel; - const int split_k = node->op == GGML_OP_MUL_MAT ? ggml_vk_guess_split_k(ne01, ne11, ne10) : 1; + int split_k; + if (node->op == GGML_OP_MUL_MAT) { + const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); + const bool aligned = ne10 == kpad; + split_k = ggml_vk_guess_split_k(ne01, ne11, ne10, aligned); + } else { + split_k = 1; + } const uint32_t x_ne = ne00 * ne01; const uint32_t y_ne = ne10 * ne11; const uint32_t d_ne = ne20 * ne21; @@ -2982,20 +2977,33 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp vk_pipeline * p; std::string shname; if (shader_size == 0) { - p = &vk_pipeline_matmul_f32_s; - shname = "F32_S"; + p = &vk_pipeline_matmul_f32_aligned_s; + shname = "F32_ALIGNED_S"; } else if (shader_size == 1) { - p = &vk_pipeline_matmul_f32_m; - shname = "F32_M"; + p = &vk_pipeline_matmul_f32_aligned_m; + shname = "F32_ALIGNED_M"; } else if (shader_size == 2) { - p = &vk_pipeline_matmul_f32_l; - shname = "F32_L"; + p = &vk_pipeline_matmul_f32_aligned_l; + shname = "F32_ALIGNED_L"; } else { GGML_ASSERT(0); } const size_t kpad = ggml_vk_align_size(k, p->align); + if (k != kpad) { + if (shader_size == 0) { + p = &vk_pipeline_matmul_f32_s; + shname = "F32_S"; + } else if (shader_size == 1) { + p = &vk_pipeline_matmul_f32_m; + shname = "F32_M"; + } else if (shader_size == 2) { + p = &vk_pipeline_matmul_f32_l; + shname = "F32_L"; + } + } + ggml_vk_pipeline_allocate_descriptor_sets(*p, num_it); if (split_k > 1) { ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); @@ -3004,8 +3012,8 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(float) * kpad * m, &d_X, {}); - ggml_vk_pool_malloc(sizeof(float) * kpad * n, &d_Y, {}); + ggml_vk_pool_malloc(sizeof(float) * k * m, &d_X, {}); + ggml_vk_pool_malloc(sizeof(float) * k * n, &d_Y, {}); ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); float* x = (float *) malloc(sizeof(float) * x_ne); @@ -3030,7 +3038,7 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), m, n, k, kpad, kpad, m, split_k, vk_device.compute_queue, {}, {})); + seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), m, n, k, k, k, m, split_k, vk_device.compute_queue, {}, {})); } ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); @@ -3094,20 +3102,33 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp vk_pipeline * p; std::string shname; if (shader_size == 0) { - p = &vk_pipeline_matmul_f16_s; - shname = "F16_S"; + p = &vk_pipeline_matmul_f16_aligned_s; + shname = "F16_ALIGNED_S"; } else if (shader_size == 1) { - p = &vk_pipeline_matmul_f16_m; - shname = "F16_M"; + p = &vk_pipeline_matmul_f16_aligned_m; + shname = "F16_ALIGNED_M"; } else if (shader_size == 2) { - p = &vk_pipeline_matmul_f16_l; - shname = "F16_L"; + p = &vk_pipeline_matmul_f16_aligned_l; + shname = "F16_ALIGNED_L"; } else { GGML_ASSERT(0); } const size_t kpad = ggml_vk_align_size(k, p->align); + if (k != kpad) { + if (shader_size == 0) { + p = &vk_pipeline_matmul_f16_s; + shname = "F16_S"; + } else if (shader_size == 1) { + p = &vk_pipeline_matmul_f16_m; + shname = "F16_M"; + } else if (shader_size == 2) { + p = &vk_pipeline_matmul_f16_l; + shname = "F16_L"; + } + } + ggml_vk_pipeline_allocate_descriptor_sets(*p, num_it); if (split_k > 1) { ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); @@ -3116,8 +3137,8 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * m, &d_X, {}); - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * n, &d_Y, {}); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * k * m, &d_X, {}); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * k * n, &d_Y, {}); ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * x_ne); @@ -3142,7 +3163,7 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), m, n, k, kpad, kpad, m, split_k, vk_device.compute_queue, {}, {})); + seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), m, n, k, k, k, m, split_k, vk_device.compute_queue, {}, {})); } ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); @@ -3213,20 +3234,33 @@ void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, in vk_pipeline * p; std::string shname; if (shader_size == 0) { - p = &vk_pipeline_matmul_f16_f32_s; - shname = "F16_F32_S"; + p = &vk_pipeline_matmul_f16_f32_aligned_s; + shname = "F16_F32_ALIGNED_S"; } else if (shader_size == 1) { - p = &vk_pipeline_matmul_f16_f32_m; - shname = "F16_F32_M"; + p = &vk_pipeline_matmul_f16_f32_aligned_m; + shname = "F16_F32_ALIGNED_M"; } else if (shader_size == 2) { - p = &vk_pipeline_matmul_f16_f32_l; - shname = "F16_F32_L"; + p = &vk_pipeline_matmul_f16_f32_aligned_l; + shname = "F16_F32_ALIGNED_L"; } else { GGML_ASSERT(0); } const size_t kpad = ggml_vk_align_size(k, p->align); + if (k != kpad) { + if (shader_size == 0) { + p = &vk_pipeline_matmul_f16_f32_s; + shname = "F16_F32_S"; + } else if (shader_size == 1) { + p = &vk_pipeline_matmul_f16_f32_m; + shname = "F16_F32_M"; + } else if (shader_size == 2) { + p = &vk_pipeline_matmul_f16_f32_l; + shname = "F16_F32_L"; + } + } + ggml_vk_pipeline_allocate_descriptor_sets(*p, num_it); if (split_k > 1) { ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); @@ -3235,8 +3269,8 @@ void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, in vk_buffer d_X; vk_buffer d_Y; vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * m, &d_X, {}); - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * kpad * n, &d_Y, {}); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * k * m, &d_X, {}); + ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * k * n, &d_Y, {}); ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * x_ne); @@ -3261,7 +3295,7 @@ void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, in auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), m, n, k, kpad, kpad, m, split_k, vk_device.compute_queue, {}, {})); + seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), m, n, k, k, k, m, split_k, vk_device.compute_queue, {}, {})); } ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index 97073fae7cf98..c2d946496c22a 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -304,17 +304,17 @@ const int loadstride = int(gl_WorkGroupSize.x * LOAD_VEC) / BK; const int start_k = ik * p.k_split; - const int end_k = (ik + 1) * p.k_split; + const int end_k = min(p.K, (ik + 1) * p.k_split); int pos_a = ir * BM * p.stride_a / LOAD_VEC + start_k / LOAD_VEC; int pos_b = ic * BN * p.stride_b / LOAD_VEC + start_k / LOAD_VEC; - D_TYPE sums[WMITER * TM * WNITER * TN]; + FLOAT_TYPE sums[WMITER * TM * WNITER * TN]; FLOAT_TYPE cache_a[WMITER * TM]; FLOAT_TYPE cache_b[WNITER * TN]; [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = 0.0f; + sums[i] = FLOAT_TYPE(0.0f); } [[unroll]] for (int block = start_k; block < end_k; block += BK) { @@ -374,7 +374,7 @@ pos_a += BK / LOAD_VEC; pos_b += BK / LOAD_VEC; - for (int i = 0; i < min(BK, p.K - block); i++) { + for (int i = 0; i < BK; i++) { // Load from shared into cache [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { [[unroll]] for (int j = 0; j < TM; j++) { @@ -391,7 +391,7 @@ [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { [[unroll]] for (int cc = 0; cc < TN; cc++) { [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += D_TYPE(cache_a[wsir * TM + cr]) * D_TYPE(cache_b[wsic * TN + cc]); + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += FLOAT_TYPE(cache_a[wsir * TM + cr]) * FLOAT_TYPE(cache_b[wsic * TN + cc]); } } } @@ -414,7 +414,7 @@ [[unroll]] for (int cc = 0; cc < TN; cc++) { [[unroll]] for (int cr = 0; cr < TM; cr++) { if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]; + data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]); } } } @@ -1590,12 +1590,9 @@ async def main(): tasks.append(string_to_spv("matmul_f32_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) tasks.append(string_to_spv("matmul_f32_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16)) - stream.clear(); - stream.extend((mulmat_head, shader_float_type, mulmat_body)); tasks.append(string_to_spv("matmul_f16_l", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) tasks.append(string_to_spv("matmul_f16_m", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) tasks.append(string_to_spv("matmul_f16_s", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("matmul_f16_aligned_l", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) tasks.append(string_to_spv("matmul_f16_aligned_m", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) tasks.append(string_to_spv("matmul_f16_aligned_s", "".join(stream), {"LOAD_VEC": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16)) From 7f05c7f33e64e47567f9a8e7a371a92d8480a053 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 5 Nov 2023 12:40:20 +0100 Subject: [PATCH 106/142] Fix q4_k dmmv K_QUANTS_PER_ITERATION 1 shader --- ggml_vk_generate_shaders.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index c2d946496c22a..8569806aefe64 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -1058,10 +1058,10 @@ const uint8_t q4_6 = uint8_t(x[ib0 + i].qs[q_offset + 64] >> 4); const uint8_t q4_7 = uint8_t(x[ib0 + i].qs[q_offset + 65] >> 4); - const FLOAT_TYPE sx = FLOAT_TYPE(y[y1_idx ] * q4_0 + y[y1_idx + 1] * q4_1 + y[y1_idx + 2] * q4_2 + y[y1_idx + 3] * q4_3 ); - const FLOAT_TYPE sy = FLOAT_TYPE(y[y1_idx + 32] * q4_4 + y[y1_idx + 33] * q4_5 + y[y1_idx + 34] * q4_6 + y[y1_idx + 35] * q4_7 ); - const FLOAT_TYPE sz = FLOAT_TYPE(y[y2_idx ] * q4_8 + y[y2_idx + 1] * q4_9 + y[y2_idx + 2] * q4_10 + y[y2_idx + 3] * q4_11); - const FLOAT_TYPE sw = FLOAT_TYPE(y[y2_idx + 32] * q4_12 + y[y2_idx + 33] * q4_13 + y[y2_idx + 34] * q4_14 + y[y2_idx + 35] * q4_15); + const FLOAT_TYPE sx = FLOAT_TYPE(y[y1_idx ] * q4_0 + y[y1_idx + 1] * q4_1); + const FLOAT_TYPE sy = FLOAT_TYPE(y[y1_idx + 32] * q4_2 + y[y1_idx + 33] * q4_3); + const FLOAT_TYPE sz = FLOAT_TYPE(y[y2_idx ] * q4_4 + y[y2_idx + 1] * q4_5); + const FLOAT_TYPE sw = FLOAT_TYPE(y[y2_idx + 32] * q4_6 + y[y2_idx + 33] * q4_7); const FLOAT_TYPE smin = FLOAT_TYPE( y[y1_idx] * sc2 + y[y1_idx + 32] * sc3 + y[y2_idx] * sc6 + y[y2_idx + 32] * sc7 + y[y1_idx + 1] * sc2 + y[y1_idx + 33] * sc3 + y[y2_idx + 1] * sc6 + y[y2_idx + 33] * sc7 From e96944551a84995b482f465b757146ec0f8bc728 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Thu, 16 Nov 2023 22:11:57 +0100 Subject: [PATCH 107/142] Add RMS Norm shader, rework op_f32 shader setup, fix matmul bug --- ggml-vulkan.cpp | 598 ++++++++++++++++++++++--------- ggml_vk_generate_shaders.py | 693 ++++++++++++++++++------------------ 2 files changed, 787 insertions(+), 504 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 56954cad40db8..88159452f7f3d 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -127,13 +127,7 @@ struct vk_device { struct vk_op_push_constants { int M; int N; - int stride_x; - int stride_y; - int stride_d; - int x_offset; - int y_offset; - int d_offset; - float scale; + float param; }; // Allow pre-recording command buffers @@ -153,6 +147,7 @@ struct ggml_vk_tensor_extra_gpu { std::vector out_seqs; size_t tensor_size; + vk_buffer * gpu_buffer; }; struct ggml_vk_garbage_collector { @@ -179,6 +174,7 @@ vk_pipeline vk_pipeline_get_rows_f32[VK_NUM_TYPES]; vk_pipeline vk_pipeline_mul_f32; vk_pipeline vk_pipeline_add_f32, vk_pipeline_add_f16_f32_f16; vk_pipeline vk_pipeline_scale_f32; +vk_pipeline vk_pipeline_rms_norm_f32; static size_t vk_semaphore_idx; static ggml_vk_garbage_collector vk_gc; @@ -602,7 +598,7 @@ static vk_buffer ggml_vk_create_buffer(size_t size, vk::MemoryPropertyFlags req_ return buf; } -static inline vk_subbuffer ggml_vk_subbuffer(vk_buffer& buf) { +static vk_subbuffer ggml_vk_subbuffer(vk_buffer& buf) { return { buf, 0, (uint32_t) buf.size }; } @@ -665,7 +661,7 @@ static void ggml_vk_destroy_buffer(vk_buffer& buf) { } } -static inline bool ggml_vk_build_shader(ggml_type type) { +static bool ggml_vk_build_shader(ggml_type type) { switch(type) { case GGML_TYPE_F16: case GGML_TYPE_Q4_0: @@ -717,6 +713,8 @@ static void ggml_vk_load_shaders() { vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_len, matmul_f16_f32_aligned_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_len, matmul_f16_f32_aligned_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_fp32_len, split_k_reduce_fp32_data, "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); + // Build dequant shaders vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline("f32_to_f16", f32_to_f16_len, f32_to_f16_data, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); @@ -756,15 +754,29 @@ static void ggml_vk_load_shaders() { vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K_f32", mul_mat_vec_q5_K_f32_len, mul_mat_vec_q5_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K_f32", mul_mat_vec_q6_K_f32_len, mul_mat_vec_q6_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + // get_rows + vk_pipeline_get_rows[GGML_TYPE_F16] = ggml_vk_create_pipeline("get_rows_f16", get_rows_f16_len, get_rows_f16_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("get_rows_q4_0", get_rows_q4_0_len, get_rows_q4_0_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("get_rows_q4_1", get_rows_q4_1_len, get_rows_q4_1_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("get_rows_q5_0", get_rows_q5_0_len, get_rows_q5_0_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("get_rows_q5_1", get_rows_q5_1_len, get_rows_q5_1_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0", get_rows_q8_0_len, get_rows_q8_0_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + + vk_pipeline_get_rows_f32[GGML_TYPE_F16] = ggml_vk_create_pipeline("get_rows_f16_f32", get_rows_f16_f32_len, get_rows_f16_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("get_rows_q4_0_f32", get_rows_q4_0_f32_len, get_rows_q4_0_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("get_rows_q4_1_f32", get_rows_q4_1_f32_len, get_rows_q4_1_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("get_rows_q5_0_f32", get_rows_q5_0_f32_len, get_rows_q5_0_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("get_rows_q5_1_f32", get_rows_q5_1_f32_len, get_rows_q5_1_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0_f32", get_rows_q8_0_f32_len, get_rows_q8_0_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + // add - vk_pipeline_add_f32 = ggml_vk_create_pipeline("add_f32", add_f32_len, add_f32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline("add_f16_f32_f16", add_f16_f32_f16_len, add_f16_f32_f16_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_add_f32 = ggml_vk_create_pipeline("add_f32", add_f32_len, add_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline("add_f16_f32_f16", add_f16_f32_f16_len, add_f16_f32_f16_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); // Static shaders - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); - vk_pipeline_mul_f32 = ggml_vk_create_pipeline("mul_f32", mul_f32_len, mul_f32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_mul_f32 = ggml_vk_create_pipeline("mul_f32", mul_f32_len, mul_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_len, scale_f32_data, "main", 2, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_len, scale_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); } else { vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_fp32_len, matmul_f32_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_fp32_len, matmul_f32_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); @@ -788,6 +800,8 @@ static void ggml_vk_load_shaders() { vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_fp32_len, matmul_f16_f32_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_fp32_len, matmul_f16_f32_aligned_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_fp32_len, split_k_reduce_fp32_data, "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); + // Build dequant shaders vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline("f32_to_f16", f32_to_f16_fp32_len, f32_to_f16_fp32_data, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); @@ -828,30 +842,31 @@ static void ggml_vk_load_shaders() { vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K_f32", mul_mat_vec_q6_K_f32_fp32_len, mul_mat_vec_q6_K_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); // get_rows - vk_pipeline_get_rows[GGML_TYPE_F16] = ggml_vk_create_pipeline("get_rows_f16", get_rows_f16_fp32_len, get_rows_f16_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_get_rows[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("get_rows_q4_0", get_rows_q4_0_fp32_len, get_rows_q4_0_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_get_rows[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("get_rows_q4_1", get_rows_q4_1_fp32_len, get_rows_q4_1_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_get_rows[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("get_rows_q5_0", get_rows_q5_0_fp32_len, get_rows_q5_0_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_get_rows[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("get_rows_q5_1", get_rows_q5_1_fp32_len, get_rows_q5_1_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_get_rows[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0", get_rows_q8_0_fp32_len, get_rows_q8_0_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - - vk_pipeline_get_rows_f32[GGML_TYPE_F16] = ggml_vk_create_pipeline("get_rows_f16_f32", get_rows_f16_f32_fp32_len, get_rows_f16_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_get_rows_f32[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("get_rows_q4_0_f32", get_rows_q4_0_f32_fp32_len, get_rows_q4_0_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_get_rows_f32[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("get_rows_q4_1_f32", get_rows_q4_1_f32_fp32_len, get_rows_q4_1_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_get_rows_f32[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("get_rows_q5_0_f32", get_rows_q5_0_f32_fp32_len, get_rows_q5_0_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_get_rows_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("get_rows_q5_1_f32", get_rows_q5_1_f32_fp32_len, get_rows_q5_1_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_get_rows_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0_f32", get_rows_q8_0_f32_fp32_len, get_rows_q8_0_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_F16] = ggml_vk_create_pipeline("get_rows_f16", get_rows_f16_fp32_len, get_rows_f16_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("get_rows_q4_0", get_rows_q4_0_fp32_len, get_rows_q4_0_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("get_rows_q4_1", get_rows_q4_1_fp32_len, get_rows_q4_1_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("get_rows_q5_0", get_rows_q5_0_fp32_len, get_rows_q5_0_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("get_rows_q5_1", get_rows_q5_1_fp32_len, get_rows_q5_1_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0", get_rows_q8_0_fp32_len, get_rows_q8_0_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + + vk_pipeline_get_rows_f32[GGML_TYPE_F16] = ggml_vk_create_pipeline("get_rows_f16_f32", get_rows_f16_f32_fp32_len, get_rows_f16_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("get_rows_q4_0_f32", get_rows_q4_0_f32_fp32_len, get_rows_q4_0_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("get_rows_q4_1_f32", get_rows_q4_1_f32_fp32_len, get_rows_q4_1_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("get_rows_q5_0_f32", get_rows_q5_0_f32_fp32_len, get_rows_q5_0_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("get_rows_q5_1_f32", get_rows_q5_1_f32_fp32_len, get_rows_q5_1_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_get_rows_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0_f32", get_rows_q8_0_f32_fp32_len, get_rows_q8_0_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); // add - vk_pipeline_add_f32 = ggml_vk_create_pipeline("add_f32", add_f32_fp32_len, add_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); - vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline("add_f16_f32_f16", add_f16_f32_f16_fp32_len, add_f16_f32_f16_fp32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_add_f32 = ggml_vk_create_pipeline("add_f32", add_f32_fp32_len, add_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline("add_f16_f32_f16", add_f16_f32_f16_fp32_len, add_f16_f32_f16_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); // Static shaders - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_fp32_len, split_k_reduce_fp32_data, "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); - vk_pipeline_mul_f32 = ggml_vk_create_pipeline("mul_f32", mul_f32_fp32_len, mul_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_mul_f32 = ggml_vk_create_pipeline("mul_f32", mul_f32_fp32_len, mul_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_fp32_len, scale_f32_fp32_data, "main", 2, sizeof(vk_op_push_constants), {32, 32, 1}, {}, 1); + vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_fp32_len, scale_f32_fp32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); } + + vk_pipeline_rms_norm_f32 = ggml_vk_create_pipeline("rms_norm_f32", rms_norm_f32_len, rms_norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1); } void ggml_vk_test_transfer(size_t ne); @@ -1013,8 +1028,9 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; ggml_vk_test_transfer(1024 * 1024 * m); } const std::vector vals { + 4096, 2, 4096, + 623, 111, 128, 100, 46, 558, - 1024, 2, 4096, 512, 1, 256, 128, 110, 622, 511, 511, 127, @@ -1042,11 +1058,27 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 2); ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 2); std::cerr << std::endl; + + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 0); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 0); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 1); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 1); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 2); + ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 2); + std::cerr << std::endl; + + ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 0); + ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 0); + ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 1); + ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 1); + ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 2); + ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 2); + std::cerr << std::endl; } #endif } -static inline vk_pipeline* ggml_vk_get_to_fp16(ggml_type type) { +static vk_pipeline* ggml_vk_get_to_fp16(ggml_type type) { #ifdef VK_DEBUG std::cerr << "ggml_vk_get_to_fp16()" << std::endl; #endif @@ -1070,7 +1102,7 @@ static inline vk_pipeline* ggml_vk_get_to_fp16(ggml_type type) { return &vk_pipeline_dequant[type]; } -static inline vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type, bool f16_y) { +static vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type, bool f16_y) { #ifdef VK_DEBUG std::cerr << "ggml_vk_get_dequantize_mul_mat_vec()" << std::endl; #endif @@ -1401,7 +1433,7 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * } } -static inline size_t ggml_vk_align_size(size_t width, size_t align) { +static size_t ggml_vk_align_size(size_t width, size_t align) { return CEIL_DIV(width, align) * align; } @@ -1536,7 +1568,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } } -static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { +static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_h2d_tensor_2d()" << std::endl; #endif @@ -1553,10 +1585,10 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const st const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); if (nb0 == ts && nb1 == row_length) { - return ggml_vk_buffer_write_async(dst, offset, x, ne1*nb1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); + return ggml_vk_buffer_write_async(dst, offset, x, i1*nb1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); } if (nb0 == ts) { - return ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, ne1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); + return ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, i1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); } GGML_ASSERT(false); // TODO: also needs handling of staging buffers @@ -1571,7 +1603,7 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const st static int ggml_vk_guess_split_k(int m, int n, int k, bool aligned) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_guess_split_k(" << m << ", " << n << ", " << k << ")"; + std::cerr << "ggml_vk_guess_split_k(" << m << ", " << n << ", " << k << ", " << aligned << ")"; #endif if (aligned && k > 128 && (m < 128 || n < 128)) { #ifdef VK_DEBUG @@ -1688,9 +1720,9 @@ static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_su static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_f32((type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; - std::cerr << "), (type=" << src1->type << ", backend=" << src0->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; - std::cerr << "), (type=" << dst->type << ", backend=" << src0->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; + std::cerr << "ggml_vk_mul_mat_f32((" << src0 << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + std::cerr << "), (" << src1 << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; + std::cerr << "), (" << dst << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; #endif const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; @@ -1760,7 +1792,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); x_semaphores.push_back({ sem->s, sem->value + 1 }); // Wait for previous matmul to be done before writing to the input buffers again - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, ne01, vk_device.transfer_queues[0], {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); sem->value += 1; } } @@ -1769,7 +1801,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr for (int64_t i13 = 0; i13 < ne13; i13++) { const int64_t i03 = i13 / r3; for (int64_t i12 = 0; i12 < ne12; i12++) { - int64_t i02 = i12 / r2; + const int64_t i02 = i12 / r2; const uint32_t x_offset = load_x ? x_sz * (i03 * ne02 + i02) : 0; const uint32_t y_offset = y_sz * (i13 * ne12 + i12); @@ -1782,7 +1814,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr semaphores.push_back(x_semaphores[i03 * ne02 + i02]); } - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i13, i12, vk_device.transfer_queues[1], {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i13, i12, ne11, vk_device.transfer_queues[1], {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); // compute extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(semaphores), { { sem->s, sem->value + 2 } })); @@ -1800,9 +1832,9 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_q_f16((type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; - std::cerr << "), (type=" << src1->type << ", backend=" << src0->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; - std::cerr << "), (type=" << dst->type << ", backend=" << src0->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; + std::cerr << "ggml_vk_mul_mat_q_f16((" << src0 << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + std::cerr << "), (" << src1 << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; + std::cerr << "), (" << dst << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; #endif const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; @@ -1848,6 +1880,13 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const uint32_t y_sz = ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment); + if (dst->backend == GGML_BACKEND_GPU) { + if (d_sz != nb2) { + std::cerr << "ERROR: incompatible tensor alignment d_sz=" << d_sz << " nb2=" << nb2 << std::endl; + GGML_ASSERT(false); + } + } + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; GGML_ASSERT(extra->comp_seqs.empty()); @@ -1858,33 +1897,33 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } else { d_D = &vk_prealloc_d; } - GGML_ASSERT(d_D->size >= d_sz); + GGML_ASSERT(d_D->size >= d_sz * ne02 * ne03); vk_buffer* d_Qx; vk_buffer* d_Qy; vk_buffer* d_X; vk_buffer* d_Y; if (load_x) { d_Qx = &vk_prealloc_qx; - GGML_ASSERT(d_Qx->size >= qx_sz); + GGML_ASSERT(d_Qx->size >= qx_sz * ne02 * ne03); } else { d_Qx = (vk_buffer *) src0->data; } if (load_y) { d_Qy = &vk_prealloc_qy; - GGML_ASSERT(d_Qy->size >= qy_sz); + GGML_ASSERT(d_Qy->size >= qy_sz * ne02 * ne03); } else { d_Qy = (vk_buffer *) src1->data; } if (qx_needs_dequant) { d_X = &vk_prealloc_x; - GGML_ASSERT(d_X->size >= x_sz); + GGML_ASSERT(d_X->size >= x_sz * ne02 * ne03); } else { d_X = d_Qx; GGML_ASSERT(qx_sz == x_sz); // NOLINT } if (qy_needs_dequant) { d_Y = &vk_prealloc_y; - GGML_ASSERT(d_Y->size >= y_sz); + GGML_ASSERT(d_Y->size >= y_sz * ne02 * ne03); } else { d_Y = d_Qy; GGML_ASSERT(qy_sz == y_sz); @@ -1919,7 +1958,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * if (load_x) { // copy data to device - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, tr0q, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, ne01, tr0q, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); } if (qx_needs_dequant) { @@ -1950,7 +1989,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * for (int64_t i13 = 0; i13 < ne13; i13++) { const int64_t i03 = i13 / r3; for (int64_t i12 = 0; i12 < ne12; i12++) { - int64_t i02 = i12 / r2; + const int64_t i02 = i12 / r2; const uint32_t it_idx0 = (i03 * ne02 + i02); const uint32_t it_idx1 = (i13 * ne12 + i12); @@ -1968,7 +2007,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } if (load_y) { // Set semaphore to 1 - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, tr1q, {}, { { sem->s, sem->value + 1 }}, nullptr, &extra->memcpys)); + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, ne11, tr1q, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); // Wait for semaphore val 1 mm_semaphores.push_back({ sem->s, sem->value + 1 }); } @@ -1989,9 +2028,9 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_vec_q_f16((type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; - std::cerr << "), (type=" << src1->type << ", backend=" << src0->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; - std::cerr << "), (type=" << dst->type << ", backend=" << src0->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "),)" << std::endl; + std::cerr << "ggml_vk_mul_mat_vec_q_f16((" << src0 << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + std::cerr << "), (" << src1 << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; + std::cerr << "), (" << dst << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; #endif const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; @@ -2028,6 +2067,8 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const uint32_t y_sz = ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + GGML_ASSERT(qy_sz == src1->nb[2]); + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; GGML_ASSERT(extra->comp_seqs.empty()); @@ -2068,7 +2109,7 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso for (int64_t i13 = 0; i13 < ne13; i13++) { const int64_t i03 = i13 / r3; for (int64_t i12 = 0; i12 < ne12; i12++) { - int64_t i02 = i12 / r2; + const int64_t i02 = i12 / r2; const uint32_t it_idx0 = (i03 * ne02 + i02); const uint32_t it_idx1 = (i13 * ne12 + i12); @@ -2081,7 +2122,7 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso vk_semaphore s_x; if (load_y) { - ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, compq, {}, {}, &s, &extra->memcpys); + ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, ne11, compq, {}, {}, &s, &extra->memcpys); } if (qy_needs_dequant) { @@ -2190,7 +2231,6 @@ static void ggml_vk_op_repeat(const ggml_tensor * src0, const ggml_tensor * src1 std::vector copies; - // TODO: very inefficient, implement in a kernel, or fewer cudaMemcpyAsync calls for contiguous tensors for (int i3 = 0; i3 < nr3; i3++) { for (int k3 = 0; k3 < ne03; k3++) { for (int i2 = 0; i2 < nr2; i2++) { @@ -2249,6 +2289,11 @@ static vk_pipeline* ggml_vk_op_get_pipeline(const ggml_tensor * src0, const ggml return &vk_pipeline_scale_f32; } return nullptr; + case GGML_OP_RMS_NORM: + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_rms_norm_f32; + } + return nullptr; default: return nullptr; } @@ -2263,15 +2308,24 @@ static ggml_vk_func_t ggml_vk_op_get_func(ggml_op op) { } } -static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, float scale=1.0f) { +static bool ggml_vk_dim01_contiguous(const ggml_tensor * tensor) { + return + tensor->nb[0] == ggml_type_size(tensor->type) && + tensor->nb[1] == (tensor->nb[0]*tensor->ne[0])/ggml_blck_size(tensor->type) && + tensor->nb[3] == tensor->nb[2]*tensor->ne[2]; +} + +static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, float param=1.0f) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_op_f32((type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3]; + std::cerr << "ggml_vk_op_f32((" << src0 << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; if (src1 != nullptr) { - std::cerr << "), (type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3]; + std::cerr << "), (" << src1 << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; } - std::cerr << "), (type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << "), " << ggml_op_name(op) << ")" << std::endl; + std::cerr << "), (" << dst << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "), " << ggml_op_name(op) << ")" << std::endl; #endif GGML_ASSERT(!ggml_is_quantized(src0->type) && (src1 == nullptr || !ggml_is_quantized(src1->type))); // NOLINT + GGML_ASSERT(ggml_vk_dim01_contiguous(src0)); + GGML_ASSERT(src1 == nullptr || ggml_vk_dim01_contiguous(src1)); // NOLINT GGML_ASSERT(dst->extra != nullptr); const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; @@ -2288,7 +2342,7 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; - GGML_ASSERT(dst->ne[0] * dst->ne[1] * dst->ne[2] * dst->ne[3] == ne0 * ne02 * ne03); + GGML_ASSERT(dst->ne[0] * dst->ne[1] == ne0); GGML_ASSERT(!use_src1 || nb10 == sizeof(float)); // NOLINT vk_pipeline * pipeline = ggml_vk_op_get_pipeline(src0, src1, dst, op); @@ -2332,80 +2386,131 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g d_Y = (vk_buffer *) src1->data; } - // Allocate descriptor sets - ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); - - vk_op_push_constants pc = { (int)ne00, (int)ne01, (int)ne00, (int)ne00, (int)ne00, 0, 0, 0, scale }; + vk_op_push_constants pc; + std::array elements; - for (int64_t i03 = 0; i03 < ne03; i03++) { - for (int64_t i02 = 0; i02 < ne02; i02++) { - const uint32_t it_idx = (i03 * ne02 + i02); + std::vector transfer_semaphores; + // copy src0 to device + if (transfer_src0) { + vk_semaphore * sem_x = ggml_vk_create_timeline_semaphore(); + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, 0, src0, 0, 0, ggml_nrows(src0), vk_device.transfer_queues[0], {}, { { sem_x->s, sem_x->value + 1 } }, nullptr, &extra->memcpys)); + transfer_semaphores.push_back({ sem_x->s, sem_x->value + 1}); + sem_x->value += 1; + } + if (transfer_src1) { + vk_semaphore * sem_y = ggml_vk_create_timeline_semaphore(); + extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, 0, src1, 0, 0, ggml_nrows(src1), vk_device.transfer_queues[1], {}, { { sem_y->s, sem_y->value + 1 } }, nullptr, &extra->memcpys)); + transfer_semaphores.push_back({ sem_y->s, sem_y->value + 1 }); + sem_y->value += 1; + } - const uint32_t x_offset = transfer_src0 ? x_sz * it_idx : 0; - const uint32_t y_offset = transfer_src1 ? y_sz * it_idx : 0; - const uint32_t d_offset = d_sz * it_idx; + // Single call if dimension 2 is contiguous + if (ggml_is_contiguous(src0) && (src1 == nullptr || ggml_is_contiguous(src1))) { + ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, 1); - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - vk_semaphore * sem_x; - std::vector transfer_semaphores; - // copy src0 to device - if (transfer_src0) { - sem_x = ggml_vk_create_binary_semaphore(); - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, vk_device.transfer_queues[0], {}, { *sem_x }, nullptr, &extra->memcpys)); - transfer_semaphores.push_back(*sem_x); - } - if (transfer_src1) { - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i03, i02, vk_device.transfer_queues[1], {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); - transfer_semaphores.push_back({ sem->s, sem->value + 1 }); - } + switch (dst->op) { + case GGML_OP_RMS_NORM: + pc = { (int)src0->ne[0], (int)src0->ne[1], param }; + elements = { (uint32_t)ggml_nrows(src0), 1, 1 }; + break; + default: + pc = { (int)ggml_nelements(src0), (int)(src1 != nullptr ? ggml_nelements(src1) : 0), param }; + elements = { (uint32_t)ggml_nelements(src0), 1, 1 }; + break; + } - const int64_t i13 = use_src1 ? i03%ne13 : i03; - const int64_t i12 = use_src1 ? i02%ne12 : i02; - pc.y_offset = (i13*ne12*ne11 + i12*ne11) * ne10; + vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); + if (use_src1) { + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_X), ggml_vk_subbuffer(*d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_dispatch_pipeline(s, *pipeline, { ggml_vk_subbuffer(*d_X), ggml_vk_subbuffer(*d_Y), ggml_vk_subbuffer(*d_D) }, sizeof(vk_op_push_constants), &pc, elements); + } else { + ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_X) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_dispatch_pipeline(s, *pipeline, { ggml_vk_subbuffer(*d_X), ggml_vk_subbuffer(*d_D) }, sizeof(vk_op_push_constants), &pc, elements); + } + if (dst->backend == GGML_BACKEND_CPU) { + vk_semaphore * fsem = ggml_vk_create_binary_semaphore(); + ggml_vk_end_submission(s, std::move(transfer_semaphores), { *fsem }); + extra->comp_seqs.push_back({ s }); - vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - if (use_src1) { - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_X), ggml_vk_subbuffer(*d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); - } else { - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_X) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, { (uint32_t)ne00, (uint32_t)ne01, 1}); - } - ggml_vk_end_submission(s, std::move(transfer_semaphores), { { sem->s, sem->value + 2 } }); + // copy dst to host + float * d = (float *) dst->data; + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, d, sizeof(float) * ggml_nelements(src0), vk_device.transfer_queues[1], { *fsem }, {})); + } else { + ggml_vk_end_submission(s, std::move(transfer_semaphores), {}); extra->comp_seqs.push_back({ s }); + } + } else { + ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); - if (dst->backend == GGML_BACKEND_CPU) { - // copy dst to host - float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * ne00 * ne01, vk_device.transfer_queues[1], { { sem->s, sem->value + 2 } }, {})); - } + switch (dst->op) { + case GGML_OP_RMS_NORM: + pc = { (int)src0->ne[0], (int)src0->ne[1], param }; + elements = { (uint32_t)ne01, 1, 1 }; + break; + default: + pc = { (int)ne0, (int)(src1 != nullptr ? ne1 : 0), param }; + elements = { (uint32_t)ne0, 1, 1 }; + break; + } - sem->value += 2; + for (int64_t i03 = 0; i03 < ne03; i03++) { + for (int64_t i02 = 0; i02 < ne02; i02++) { + const uint32_t it_idx0 = (i03 * ne02 + i02); + const uint32_t it_idx1 = use_src1 ? ((i03 % ne13) * ne12 + (i02 % ne12)) : 0; + const uint32_t x_offset = x_sz * it_idx0; + const uint32_t y_offset = y_sz * it_idx1; + const uint32_t d_offset = d_sz * it_idx0; + + vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); + ggml_vk_sync_buffers(s.buffer, { { *d_D, d_offset, d_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); + if (use_src1) { + ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, elements); + } else { + ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, elements); + } + if (dst->backend == GGML_BACKEND_CPU) { + vk_semaphore * fsem = ggml_vk_create_binary_semaphore(); + ggml_vk_end_submission(s, std::move(transfer_semaphores), { *fsem }); + extra->comp_seqs.push_back({ s }); + + // copy dst to host + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, (char *) dst->data + i02*nb2 + i03*nb3, sizeof(float) * ne0, vk_device.transfer_queues[1], { *fsem }, {})); + } else { + ggml_vk_end_submission(s, std::move(transfer_semaphores), {}); + extra->comp_seqs.push_back({ s }); + } + } } } } -static void ggml_vk_repeat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { +static void ggml_vk_repeat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_vk_op_f32(src0, src1, dst, GGML_OP_REPEAT); } -static void ggml_vk_get_rows(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { +static void ggml_vk_get_rows(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_vk_op_f32(src0, src1, dst, GGML_OP_GET_ROWS); } -static void ggml_vk_add(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { +static void ggml_vk_add(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_vk_op_f32(src0, src1, dst, GGML_OP_ADD); } -static void ggml_vk_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { +static void ggml_vk_mul(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_vk_op_f32(src0, src1, dst, GGML_OP_MUL); } -static void ggml_vk_scale(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { +static void ggml_vk_scale(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_SCALE, ((float *)src1->data)[0]); } +static void ggml_vk_rms_norm(const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_RMS_NORM, ((float *)src0->op_params)[0]); +} + void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { #ifdef VK_DEBUG std::cerr << "ggml_vk_transform_tensor(" << data << ", " << tensor << ")" << std::endl; @@ -2426,7 +2531,7 @@ void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { tensor->data = data; // copy tensor to device - seqs.push_back(ggml_vk_h2d_tensor_2d(&dst, 0, tensor, 0, 0, vk_device.transfer_queues[0], {}, {})); + seqs.push_back(ggml_vk_h2d_tensor_2d(&dst, 0, tensor, 0, 0, ne1, vk_device.transfer_queues[0], {}, {})); ggml_vk_submit(vk_device.transfer_queues[0], seqs, VK_NULL_HANDLE); vk_device.transfer_queues[0].queue.waitIdle(); @@ -2436,10 +2541,21 @@ void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); } +static void ggml_vk_realign_tensor(ggml_tensor * tensor) { + // Handle split-k, which needs more space per MM + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; + + tensor->nb[2] = ggml_vk_align_size(std::max(extra->tensor_size / tensor->ne[3] / tensor->ne[2], tensor->nb[1]*tensor->ne[1]), vk_device.properties.limits.minStorageBufferOffsetAlignment); + for (int i = 3; i < GGML_MAX_DIMS; i++) { + tensor->nb[i] = tensor->nb[i - 1]*tensor->ne[i - 1]; + } +} + static ggml_vk_tensor_extra_gpu * ggml_vk_preallocate_buffers(uint32_t d_size, uint32_t qx_size, uint32_t qy_size, uint32_t x_size, uint32_t y_size) { ggml_vk_tensor_extra_gpu * extra = new ggml_vk_tensor_extra_gpu; extra->tensor_size = d_size; + extra->gpu_buffer = nullptr; // Check if buffer already exists, increase size if required if (vk_prealloc_size_d < d_size) { @@ -2469,8 +2585,8 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ #endif node->extra = nullptr; - const bool src0_gpu = false; // node->src[0] != nullptr && node->src[0]->extra != nullptr && node->src[0]->backend == GGML_BACKEND_CPU; - const bool src1_gpu = false; // node->src[1] != nullptr && node->src[1]->extra != nullptr && node->src[1]->backend == GGML_BACKEND_CPU; + const bool src0_gpu = node->src[0] != nullptr && node->src[0]->ne[1] > 32 && node->src[0]->extra != nullptr && node->src[0]->backend == GGML_BACKEND_CPU; + const bool src1_gpu = node->src[1] != nullptr && node->src[1]->ne[1] > 32 && node->src[1]->extra != nullptr && node->src[1]->backend == GGML_BACKEND_CPU; const bool any_on_device = node->backend == GGML_BACKEND_GPU || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT || src0_gpu)) @@ -2488,7 +2604,7 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ const int64_t ne01 = use_src0 ? src0->ne[1] : 0; const int64_t ne02 = use_src0 ? src0->ne[2] : 0; const int64_t ne03 = use_src0 ? src0->ne[3] : 0; - const bool use_src1 = src1 != nullptr; + const bool use_src1 = src1 != nullptr && node->op != GGML_OP_SCALE; const int64_t ne10 = use_src1 ? src1->ne[0] : 0; const int64_t ne11 = use_src1 ? src1->ne[1] : 0; const int64_t ne12 = use_src1 ? src1->ne[2] : 0; @@ -2534,6 +2650,7 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ case GGML_OP_ADD: case GGML_OP_SCALE: case GGML_OP_MUL: + case GGML_OP_RMS_NORM: node->extra = ggml_vk_preallocate_buffers(d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, 0, 0); break; case GGML_OP_MUL_MAT: @@ -2548,22 +2665,27 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ } // Reuse GPU buffer if previous op is also on GPU - // if (src0_gpu) { - // src0->backend = GGML_BACKEND_GPU; - // ggml_vk_tensor_extra_gpu * src0_extra = (ggml_vk_tensor_extra_gpu *) src0->extra; + if (src0_gpu) { + src0->backend = GGML_BACKEND_GPU; + ggml_vk_tensor_extra_gpu * src0_extra = (ggml_vk_tensor_extra_gpu *) src0->extra; + + // Replace with data GPU tensor + src0->data = malloc(sizeof(vk_buffer)); + ggml_vk_pool_malloc(src0_extra->tensor_size, (vk_buffer *)src0->data, vk::MemoryPropertyFlagBits::eDeviceLocal); + + // Handle buffer offset alignment issues in 2nd and 3rd dimensions early by changing stride + ggml_vk_realign_tensor(src0); + } + if (src1_gpu) { + src1->backend = GGML_BACKEND_GPU; + ggml_vk_tensor_extra_gpu * src1_extra = (ggml_vk_tensor_extra_gpu *) src1->extra; - // // Replace with data GPU tensor - // src0->data = malloc(sizeof(vk_buffer)); - // *(vk_buffer*) src0->data = ggml_vk_create_buffer(src0_extra->tensor_size, vk::MemoryPropertyFlagBits::eDeviceLocal); - // } - // if (src1_gpu) { - // src1->backend = GGML_BACKEND_GPU; - // ggml_vk_tensor_extra_gpu * src1_extra = (ggml_vk_tensor_extra_gpu *) src1->extra; + // Replace with data GPU tensor + src1->data = malloc(sizeof(vk_buffer)); + ggml_vk_pool_malloc(src1_extra->tensor_size, (vk_buffer *)src1->data, vk::MemoryPropertyFlagBits::eDeviceLocal); - // // Replace with data GPU tensor - // src1->data = malloc(sizeof(vk_buffer)); - // *(vk_buffer*) src1->data = ggml_vk_create_buffer(src1_extra->tensor_size, vk::MemoryPropertyFlagBits::eDeviceLocal); - // } + ggml_vk_realign_tensor(src1); + } } void ggml_vk_preallocate_buffers() { @@ -2639,6 +2761,10 @@ void ggml_vk_build_graph(ggml_tensor * node){ case GGML_OP_SCALE: ggml_vk_scale(node->src[0], node->src[1], node); + break; + case GGML_OP_RMS_NORM: + ggml_vk_rms_norm(node->src[0], node); + break; case GGML_OP_MUL_MAT: if (!any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { @@ -2649,6 +2775,10 @@ void ggml_vk_build_graph(ggml_tensor * node){ break; default: + if (any_on_device) { + std::cerr << "ggml_vulkan: Error: Missing op: " << ggml_op_name(node->op) << std::endl; + GGML_ASSERT(false); + } return; } } @@ -2669,6 +2799,7 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) case GGML_OP_GET_ROWS: case GGML_OP_MUL: case GGML_OP_SCALE: + case GGML_OP_RMS_NORM: extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; break; @@ -2747,13 +2878,82 @@ void ggml_vk_graph_cleanup() { vk_gc.tl_semaphores.clear(); for (auto * extra : vk_gc.extras) { + if (extra->gpu_buffer != nullptr) { + ggml_vk_pool_free(*extra->gpu_buffer); + } delete extra; } vk_gc.extras.clear(); } #ifdef GGML_VULKAN_CHECK_RESULTS +void ggml_vk_print_graph_origin(const ggml_tensor * tensor, std::vector& done, int level = 0) { + if (std::find(done.begin(), done.end(), tensor) != done.end()) { + return; + } + for (int j = 0; j < level; j++) { + std::cerr << " "; + } + std::cerr << ggml_op_name(tensor->op) << " " << tensor->backend << std::endl; + + done.push_back(tensor); + + for (int i = 0; i < GGML_MAX_SRC; i++) { + if (tensor->src[i] != nullptr) { + ggml_vk_print_graph_origin(tensor->src[i], done, level + 1); + } + } +} + +void ggml_vk_check_tensor(const std::string& name, const ggml_tensor * tensor) { + if (tensor->type != GGML_TYPE_F32) { + return; + } + for (int i3 = 0; i3 < tensor->ne[3]; i3++) { + for (int i2 = 0; i2 < tensor->ne[2]; i2++) { + for (int i1 = 0; i1 < tensor->ne[1]; i1++) { + for (int i0 = 0; i0 < tensor->ne[0]; i0++) { + const float val = *(float *) ((char *) tensor->data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); + if (std::isnan(val)) { + std::cerr << "ERROR: TENSOR CHECK " << name << ": Invalid value in " << ggml_op_name(tensor->op) << " i3=" << i3 << " i2=" << i2 << " i1=" << i1 << " i0=" << i0 << " val=" << val << std::endl; + std::cerr << "tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; + std::cerr << std::endl; + std::vector done; + ggml_vk_print_graph_origin(tensor, done); + GGML_ASSERT(false); + } + } + } + } + } +} + +void ggml_vk_print_tensor_area(const ggml_tensor * tensor, const void * data, int i0, int i1, int i2, int i3) { + fprintf(stderr, " "); + for (int idx1 = i1 - 5; idx1 < i1 + 5; idx1++) { + fprintf(stderr, "%7d ", idx1); + } + fprintf(stderr, "\n"); + for (int idx0 = i0 - 5; idx0 < i0 + 5; idx0++) { + fprintf(stderr, "%7d: ", idx0); + for (int idx1 = i1 - 5; idx1 < i1 + 5; idx1++) { + if (idx0 >= 0 && idx0 < tensor->ne[0] && idx1 >= 0 && idx1 < tensor->ne[1]) { + float val = *(float *) ((char *) data + i3*tensor->nb[3] + i2*tensor->nb[2] + idx1*tensor->nb[1] + idx0*tensor->nb[0]); + fprintf(stderr, "% 7.2f ", val); + } else { + fprintf(stderr, " "); + } + } + fprintf(stderr, "\n"); + } +} + +size_t ggml_vk_tensor_size(const ggml_tensor * tensor) { + return std::max(tensor->ne[3]*tensor->nb[3], tensor->nb[1] * tensor->ne[1] * tensor->ne[2] * tensor->ne[3]); +} + void * comp_result; +size_t comp_nb[GGML_MAX_DIMS]; void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) { if (params->ith != 0) { return; @@ -2783,35 +2983,68 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) if (src0 != nullptr) { src0_clone = ggml_dup_tensor(ctx, src0); - // Some tensors have wrong strides for some reason - src0_size = src0->nb[1] * src0->ne[1] * src0->ne[2] * src0->ne[3]; + src0_size = ggml_vk_tensor_size(src0); src0_clone->data = malloc(src0_size); if (src0->backend == GGML_BACKEND_CPU) { - memcpy(src0_clone->data, src0->data, src0_size); + memcpy(src0_clone->data, src0->data, src0_size); + memcpy(src0_clone->nb, src0->nb, sizeof(size_t) * GGML_MAX_DIMS); } else if (src0->backend == GGML_BACKEND_GPU) { - ggml_vk_buffer_read((vk_buffer *)src0->data, 0, src0_clone->data, src0_size, vk_device.transfer_queues[0]); + if (!ggml_is_contiguous(src0) && ggml_vk_dim01_contiguous(src0)) { + for (int i3 = 0; i3 < src0->ne[3]; i3++) { + for (int i2 = 0; i2 < src0->ne[2]; i2++) { + const int idx = i3*src0->ne[2] + i2; + ggml_vk_buffer_read((vk_buffer *)src0->data, (idx) * src0->nb[2], ((char *)src0_clone->data + idx * src0_clone->nb[2]), src0->ne[1] * src0->nb[1], vk_device.transfer_queues[0]); + } + } + + src0_clone->nb[0] = src0->nb[0]; + src0_clone->nb[1] = src0->nb[1]; + for (int i = 2; i < GGML_MAX_DIMS; i++) { + src0_clone->nb[i] = src0_clone->nb[i - 1]*src0_clone->ne[i - 1]; + } + } else { + ggml_vk_buffer_read((vk_buffer *)src0->data, 0, src0_clone->data, src0_size, vk_device.transfer_queues[0]); + memcpy(src0_clone->nb, src0->nb, sizeof(size_t) * GGML_MAX_DIMS); + } } else { GGML_ASSERT(false); } - memcpy(src0_clone->nb, src0->nb, sizeof(size_t) * GGML_MAX_DIMS); + ggml_vk_check_tensor(std::string(ggml_op_name(tensor->op)) + "->src0", src0_clone); } if (src1 != nullptr) { src1_clone = ggml_dup_tensor(ctx, src1); - src1_size = src1->ne[3] * src1->nb[3]; + src1_size = ggml_vk_tensor_size(src1); src1_clone->data = malloc(src1_size); if (src1->backend == GGML_BACKEND_CPU) { - memcpy(src1_clone->data, src1->data, src1_size); + memcpy(src1_clone->data, src1->data, src1_size); + memcpy(src1_clone->nb, src1->nb, sizeof(size_t) * GGML_MAX_DIMS); } else if (src1->backend == GGML_BACKEND_GPU) { - ggml_vk_buffer_read((vk_buffer *)src1->data, 0, src1_clone->data, src1_size, vk_device.transfer_queues[0]); + if (!ggml_is_contiguous(src1) && ggml_vk_dim01_contiguous(src1)) { + for (int i3 = 0; i3 < src1->ne[3]; i3++) { + for (int i2 = 0; i2 < src1->ne[2]; i2++) { + const int idx = i3*src1->ne[2] + i2; + ggml_vk_buffer_read((vk_buffer *)src1->data, (idx) * src1->nb[2], ((char *)src1_clone->data + idx * src1_clone->nb[2]), src1->ne[1] * src1->nb[1], vk_device.transfer_queues[0]); + } + } + + src1_clone->nb[0] = src1->nb[0]; + src1_clone->nb[1] = src1->nb[1]; + for (int i = 2; i < GGML_MAX_DIMS; i++) { + src1_clone->nb[i] = src1_clone->nb[i - 1]*src1_clone->ne[i - 1]; + } + } else { + ggml_vk_buffer_read((vk_buffer *)src1->data, 0, src1_clone->data, src1_size, vk_device.transfer_queues[0]); + memcpy(src1_clone->nb, src1->nb, sizeof(size_t) * GGML_MAX_DIMS); + } } else { GGML_ASSERT(false); } - memcpy(src1_clone->nb, src1->nb, sizeof(size_t) * GGML_MAX_DIMS); + ggml_vk_check_tensor(std::string(ggml_op_name(tensor->op)) + "->src1", src1_clone); } if (tensor->op == GGML_OP_MUL_MAT) { @@ -2821,8 +3054,10 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) } else if (tensor->op == GGML_OP_SCALE) { tensor_clone = ggml_scale(ctx, src0_clone, src1_clone); } else if (tensor->op == GGML_OP_ADD) { - tensor_clone = ggml_add(ctx, src1_clone, src1_clone); - }else { + tensor_clone = ggml_add(ctx, src0_clone, src1_clone); + } else if (tensor->op == GGML_OP_RMS_NORM) { + tensor_clone = ggml_rms_norm(ctx, src0_clone, *(float *)tensor->op_params); + } else { std::cerr << "Missing vk_check_results OP: " << ggml_op_name(tensor->op) << std::endl; GGML_ASSERT(false); } @@ -2831,13 +3066,20 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) ggml_graph_compute_with_ctx(ctx, &cgraph, 8); - size_t tensor_size = tensor_clone->ne[3] * tensor_clone->nb[3]; + ggml_vk_check_tensor(ggml_op_name(tensor->op), tensor_clone); + + size_t tensor_size = ggml_vk_tensor_size(tensor); comp_result = malloc(tensor_size); memcpy(comp_result, tensor_clone->data, tensor_size); + memcpy(comp_nb, tensor_clone->nb, sizeof(size_t) * GGML_MAX_DIMS); - free(src0_clone->data); - free(src1_clone->data); + if (src0 != nullptr) { + free(src0_clone->data); + } + if (src1 != nullptr) { + free(src1_clone->data); + } ggml_free(ctx); } @@ -2856,54 +3098,82 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) void * tensor_data = tensor->data; if (tensor->backend == GGML_BACKEND_GPU) { - const size_t tensor_size = tensor->nb[1] * tensor->ne[1] * tensor->ne[2] * tensor->ne[3]; + const size_t tensor_size = ggml_vk_tensor_size(tensor); tensor_data = malloc(tensor_size); ggml_vk_buffer_read((vk_buffer *)tensor->data, 0, tensor_data, tensor_size, vk_device.transfer_queues[0]); } - double avg_err = 0.0f; + float first_error_result = -1.0f; + float first_error_correct = -1.0f; + std::array first_error = { -1, -1, -1, -1 }; + double avg_err = 0.0; + size_t counter = 0; for (int i3 = 0; i3 < tensor->ne[3]; i3++) { for (int i2 = 0; i2 < tensor->ne[2]; i2++) { for (int i1 = 0; i1 < tensor->ne[1]; i1++) { for (int i0 = 0; i0 < tensor->ne[0]; i0++) { if (tensor->type == GGML_TYPE_F32) { - float correct = *(float *) ((char *) comp_result + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); + float correct = *(float *) ((char *) comp_result + i3*comp_nb[3] + i2*comp_nb[2] + i1*comp_nb[1] + i0*comp_nb[0]); float result = *(float *) ((char *) tensor_data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); - if (std::isnan(correct) || std::isnan(result)) { - std::cerr << "ERROR: NaN value in " << ggml_op_name(tensor->op) << " i3=" << i3 << " i2=" << i2 << " i1=" << i1 << " i0=" << i0 << " result=" << result << " correct=" << correct << std::endl; - std::cerr << "tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << std::endl; - if (tensor->src[0] != nullptr) { - std::cerr << "src0 " << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << std::endl; + if (std::isnan(correct) || std::isnan(result) || std::isnan(avg_err)) { + std::cerr << "ERROR: Invalid value in " << ggml_op_name(tensor->op) << " i3=" << i3 << " i2=" << i2 << " i1=" << i1 << " i0=" << i0 << " result=" << result << " correct=" << correct << " avg_err=" << (avg_err / counter) << std::endl; + std::cerr << "tensor=" << tensor << " tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; + if (src0 != nullptr) { + std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << std::endl; } - if (tensor->src[1] != nullptr) { - std::cerr << "src1 " << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << std::endl; + if (src1 != nullptr) { + std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << std::endl; } + std::cerr << "First error: result=" << first_error_result << " correct=" << first_error_correct << " i3=" << first_error[3] << " i2=" << first_error[2] << " i1=" << first_error[1] << " i0=" << first_error[0] << std::endl; + std::cerr << std::endl; + ggml_vk_print_tensor_area(tensor, tensor_data, i0, i1, i2, i3); + std::cerr << std::endl; + std::vector done; + ggml_vk_print_graph_origin(tensor, done); GGML_ASSERT(false); } + if (first_error[0] == -1 && std::fabs(correct - result) > 0.1f) { + first_error[0] = i0; + first_error[1] = i1; + first_error[2] = i2; + first_error[3] = i3; + first_error_result = result; + first_error_correct = correct; + } - avg_err += std::fabs(correct - result); + // Special case, value is infinite, avoid NaN result in avg_err + if (!std::isinf(correct) || !std::isinf(result) || correct != result) { + avg_err += std::fabs(correct - result); + } } else { GGML_ASSERT(false); } + counter++; } } } } - avg_err /= tensor->ne[3] * tensor->ne[2] * tensor->ne[1] * tensor->ne[0]; + avg_err /= counter; if (avg_err > 0.1 || std::isnan(avg_err)) { std::cerr << "ERROR: avg_err=" << avg_err << " in " << ggml_op_name(tensor->op) << std::endl; - std::cerr << "tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << std::endl; - if (tensor->src[0] != nullptr) { - std::cerr << "src0 type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << std::endl; + std::cerr << "tensor=" << tensor << " tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; + if (src0 != nullptr) { + std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << std::endl; } - if (tensor->src[1] != nullptr) { - std::cerr << "src1 type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << std::endl; + if (src1 != nullptr) { + std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << std::endl; } + std::cerr << "First error: result=" << first_error_result << " correct=" << first_error_correct << " i3=" << first_error[3] << " i2=" << first_error[2] << " i1=" << first_error[1] << " i0=" << first_error[0] << std::endl; + std::cerr << std::endl; + ggml_vk_print_tensor_area(tensor, tensor_data, first_error[0], first_error[1], first_error[2], first_error[3]); + std::cerr << std::endl; + std::vector done; + ggml_vk_print_graph_origin(tensor, done); GGML_ASSERT(false); } diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index 8569806aefe64..ec1fd55f311b1 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -157,82 +157,82 @@ # Dequant functions shader_f16_dequant_func = """ -#define DEQUANT_FUNC f16vec2 v = f16vec2(x[ib + 0], x[ib + 1]); +#define DEQUANT_FUNC f16vec2 v = f16vec2(data_a[ib + 0], data_a[ib + 1]); """ shader_f16_dequant_func_compat = """ -#define DEQUANT_FUNC vec2 v = vec2(x[ib + 0], x[ib + 1]); +#define DEQUANT_FUNC vec2 v = vec2(data_a[ib + 0], data_a[ib + 1]); """ shader_q4_0_dequant_func = """ -#define DEQUANT_FUNC const float16_t d = x[ib].d; \ -const uint8_t vui = x[ib].qs[iqs]; \ +#define DEQUANT_FUNC const float16_t d = data_a[ib].d; \ +const uint8_t vui = data_a[ib].qs[iqs]; \ f16vec2 v = f16vec2(vui & 0xF, vui >> 4); \ v = (v - 8.0hf)*d; """ shader_q4_0_dequant_func_compat = """ -#define DEQUANT_FUNC const float d = float(x[ib].d); \ -const uint vui = uint(x[ib].qs[iqs]); \ +#define DEQUANT_FUNC const float d = float(data_a[ib].d); \ +const uint vui = uint(data_a[ib].qs[iqs]); \ vec2 v = vec2(vui & 0xF, vui >> 4); \ v = (v - 8.0f)*d; """ shader_q4_1_dequant_func = """ -#define DEQUANT_FUNC const float16_t d = x[ib].d; \ -const float16_t m = x[ib].m; \ -const uint8_t vui = x[ib].qs[iqs]; \ +#define DEQUANT_FUNC const float16_t d = data_a[ib].d; \ +const float16_t m = data_a[ib].m; \ +const uint8_t vui = data_a[ib].qs[iqs]; \ f16vec2 v = f16vec2(vui & 0xF, vui >> 4); \ v = v*d + m; """ shader_q4_1_dequant_func_compat = """ -#define DEQUANT_FUNC const float d = float(x[ib].d); \ -const float m = float(x[ib].m); \ -const uint vui = uint(x[ib].qs[iqs]); \ +#define DEQUANT_FUNC const float d = float(data_a[ib].d); \ +const float m = float(data_a[ib].m); \ +const uint vui = uint(data_a[ib].qs[iqs]); \ vec2 v = vec2(vui & 0xF, vui >> 4); \ v = v*d + m; """ shader_q5_0_dequant_func = """ -#define DEQUANT_FUNC const float16_t d = x[ib].d; \ -const uint uint_qh = uint(x[ib].qh[1]) << 16 | x[ib].qh[0]; \ +#define DEQUANT_FUNC const float16_t d = data_a[ib].d; \ +const uint uint_qh = uint(data_a[ib].qh[1]) << 16 | data_a[ib].qh[0]; \ const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); \ -const uint8_t vui = x[ib].qs[iqs]; \ +const uint8_t vui = data_a[ib].qs[iqs]; \ f16vec2 v = f16vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ v = (v - 16.0hf) * d; """ shader_q5_0_dequant_func_compat = """ -#define DEQUANT_FUNC const float d = float(x[ib].d); \ -const uint uint_qh = uint(x[ib].qh[1]) << 16 | x[ib].qh[0]; \ +#define DEQUANT_FUNC const float d = float(data_a[ib].d); \ +const uint uint_qh = uint(data_a[ib].qh[1]) << 16 | data_a[ib].qh[0]; \ const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10); \ -const uint vui = uint(x[ib].qs[iqs]); \ +const uint vui = uint(data_a[ib].qs[iqs]); \ vec2 v = vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ v = (v - 16.0f) * d; """ shader_q5_1_dequant_func = """ -#define DEQUANT_FUNC const float16_t d = x[ib].d; \ -const float16_t m = x[ib].m; \ -const ivec2 qh = ivec2(((x[ib].qh >> iqs) << 4) & 0x10, (x[ib].qh >> (iqs + 12)) & 0x10); \ -const uint8_t vui = x[ib].qs[iqs]; \ +#define DEQUANT_FUNC const float16_t d = data_a[ib].d; \ +const float16_t m = data_a[ib].m; \ +const ivec2 qh = ivec2(((data_a[ib].qh >> iqs) << 4) & 0x10, (data_a[ib].qh >> (iqs + 12)) & 0x10); \ +const uint8_t vui = data_a[ib].qs[iqs]; \ f16vec2 v = f16vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ v = v*d + m; """ shader_q5_1_dequant_func_compat = """ -#define DEQUANT_FUNC const float d = float(x[ib].d); \ -const float m = float(x[ib].m); \ -const ivec2 qh = ivec2(((x[ib].qh >> iqs) << 4) & 0x10, (x[ib].qh >> (iqs + 12)) & 0x10); \ -const uint vui = uint(x[ib].qs[iqs]); \ +#define DEQUANT_FUNC const float d = float(data_a[ib].d); \ +const float m = float(data_a[ib].m); \ +const ivec2 qh = ivec2(((data_a[ib].qh >> iqs) << 4) & 0x10, (data_a[ib].qh >> (iqs + 12)) & 0x10); \ +const uint vui = uint(data_a[ib].qs[iqs]); \ vec2 v = vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y); \ v = v*d + m; """ shader_q8_0_dequant_func = """ -#define DEQUANT_FUNC const float16_t d = x[ib].d; \ -f16vec2 v = f16vec2(x[ib].qs[iqs], x[ib].qs[iqs + 1]); \ +#define DEQUANT_FUNC const float16_t d = data_a[ib].d; \ +f16vec2 v = f16vec2(data_a[ib].qs[iqs], data_a[ib].qs[iqs + 1]); \ v = v * d; """ shader_q8_0_dequant_func_compat = """ -#define DEQUANT_FUNC const float d = float(x[ib].d); \ -vec2 v = vec2(int(x[ib].qs[iqs]), int(x[ib].qs[iqs + 1])); \ +#define DEQUANT_FUNC const float d = float(data_a[ib].d); \ +vec2 v = vec2(int(data_a[ib].qs[iqs]), int(data_a[ib].qs[iqs + 1])); \ v = v * d; """ @@ -309,12 +309,12 @@ int pos_a = ir * BM * p.stride_a / LOAD_VEC + start_k / LOAD_VEC; int pos_b = ic * BN * p.stride_b / LOAD_VEC + start_k / LOAD_VEC; - FLOAT_TYPE sums[WMITER * TM * WNITER * TN]; + float sums[WMITER * TM * WNITER * TN]; FLOAT_TYPE cache_a[WMITER * TM]; FLOAT_TYPE cache_b[WNITER * TN]; [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { - sums[i] = FLOAT_TYPE(0.0f); + sums[i] = 0.0f; } [[unroll]] for (int block = start_k; block < end_k; block += BK) { @@ -391,7 +391,7 @@ [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { [[unroll]] for (int cc = 0; cc < TN; cc++) { [[unroll]] for (int cr = 0; cr < TM; cr++) { - sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += FLOAT_TYPE(cache_a[wsir * TM + cr]) * FLOAT_TYPE(cache_b[wsic * TN + cc]); + sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); } } } @@ -466,8 +466,8 @@ dequant_body = """ layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A {A_TYPE x[];}; -layout (binding = 1) writeonly buffer D {D_TYPE y[];}; +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; layout (push_constant) uniform parameter { @@ -498,8 +498,8 @@ [[unroll]] for (int iqs = 0; iqs < QUANT_K/QUANT_R; iqs += step) { DEQUANT_FUNC - y[col * p.stride_b + row*QUANT_K + iqs + 0 ] = D_TYPE(v.x); - y[col * p.stride_b + row*QUANT_K + iqs + y_offset] = D_TYPE(v.y); + data_b[col * p.stride_b + row*QUANT_K + iqs + 0 ] = D_TYPE(v.x); + data_b[col * p.stride_b + row*QUANT_K + iqs + y_offset] = D_TYPE(v.y); } } """ @@ -508,8 +508,8 @@ dequant_q2_K_body = """ layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A {A_TYPE x[];}; -layout (binding = 1) writeonly buffer D {D_TYPE y[];}; +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; layout (push_constant) uniform parameter { @@ -534,22 +534,22 @@ const int y_idx = i * QUANT_K + 128 * ip + il; const int ql_idx = 32 * ip + il; - const uint8_t qs = x[i].qs[32 * ip + il]; - - FLOAT_TYPE dall = FLOAT_TYPE(x[i].d.x); - FLOAT_TYPE dmin = FLOAT_TYPE(x[i].d.y); - y[y_idx + 0] = D_TYPE(dall * FLOAT_TYPE((x[i].scales[is+0] & 0xF) * ((qs >> 0) & 3)) - dmin * FLOAT_TYPE(x[i].scales[is+0] >> 4)); - y[y_idx + 32] = D_TYPE(dall * FLOAT_TYPE((x[i].scales[is+2] & 0xF) * ((qs >> 2) & 3)) - dmin * FLOAT_TYPE(x[i].scales[is+2] >> 4)); - y[y_idx + 64] = D_TYPE(dall * FLOAT_TYPE((x[i].scales[is+4] & 0xF) * ((qs >> 4) & 3)) - dmin * FLOAT_TYPE(x[i].scales[is+4] >> 4)); - y[y_idx + 96] = D_TYPE(dall * FLOAT_TYPE((x[i].scales[is+6] & 0xF) * ((qs >> 6) & 3)) - dmin * FLOAT_TYPE(x[i].scales[is+6] >> 4)); + const uint8_t qs = data_a[i].qs[32 * ip + il]; + + FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x); + FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y); + data_b[y_idx + 0] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+0] & 0xF) * ((qs >> 0) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+0] >> 4)); + data_b[y_idx + 32] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+2] & 0xF) * ((qs >> 2) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+2] >> 4)); + data_b[y_idx + 64] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+4] & 0xF) * ((qs >> 4) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+4] >> 4)); + data_b[y_idx + 96] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+6] & 0xF) * ((qs >> 6) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+6] >> 4)); } } """ dequant_q3_K_body = """ layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A {A_TYPE x[];}; -layout (binding = 1) writeonly buffer D {D_TYPE y[];}; +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; layout (push_constant) uniform parameter { @@ -577,18 +577,18 @@ const int is = 8*n + 2*j + is0; const int shift = 2*j; - const int8_t us = int8_t(is < 4 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+8] >> 0) & 3) << 4) : - is < 8 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+4] >> 2) & 3) << 4) : - is < 12 ? (x[i].scales[is-8] >> 4) | (((x[i].scales[is+0] >> 4) & 3) << 4) : - (x[i].scales[is-8] >> 4) | (((x[i].scales[is-4] >> 6) & 3) << 4)); - const FLOAT_TYPE d_all = FLOAT_TYPE(x[i].d); + const int8_t us = int8_t(is < 4 ? (data_a[i].scales[is-0] & 0xF) | (((data_a[i].scales[is+8] >> 0) & 3) << 4) : + is < 8 ? (data_a[i].scales[is-0] & 0xF) | (((data_a[i].scales[is+4] >> 2) & 3) << 4) : + is < 12 ? (data_a[i].scales[is-8] >> 4) | (((data_a[i].scales[is+0] >> 4) & 3) << 4) : + (data_a[i].scales[is-8] >> 4) | (((data_a[i].scales[is-4] >> 6) & 3) << 4)); + const FLOAT_TYPE d_all = FLOAT_TYPE(data_a[i].d); const FLOAT_TYPE dl = d_all * FLOAT_TYPE(us - 32); const int y_idx = i * QUANT_K + 128 * n + 32 * j; const int qs_idx = 32*n; for (int l = l0; l < l0 + 4; ++l) { - y[y_idx + l] = D_TYPE(dl * FLOAT_TYPE(int8_t((x[i].qs[qs_idx + l] >> shift) & 3) - (((x[i].hmask[l] & m) != 0) ? 0 : 4))); + data_b[y_idx + l] = D_TYPE(dl * FLOAT_TYPE(int8_t((data_a[i].qs[qs_idx + l] >> shift) & 3) - (((data_a[i].hmask[l] & m) != 0) ? 0 : 4))); } } } @@ -596,8 +596,8 @@ dequant_q4_K_body = """ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A {A_TYPE x[];}; -layout (binding = 1) writeonly buffer D {D_TYPE y[];}; +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; layout (push_constant) uniform parameter { @@ -620,8 +620,8 @@ const int is = 2 * il; const int n = 4; - const FLOAT_TYPE dall = FLOAT_TYPE(x[i].d.x); - const FLOAT_TYPE dmin = FLOAT_TYPE(x[i].d.y); + const FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y); const int y_idx = i * QUANT_K + 64 * il + n * ir; const int qs_idx = 32*il + n * ir; @@ -629,28 +629,28 @@ uint8_t sc; uint8_t m; if (is < 4) { - sc = uint8_t(x[i].scales[is] & 63); - m = uint8_t(x[i].scales[is + 4] & 63); + sc = uint8_t(data_a[i].scales[is] & 63); + m = uint8_t(data_a[i].scales[is + 4] & 63); } else { - sc = uint8_t((x[i].scales[is + 4] & 0xF) | ((x[i].scales[is - 4] >> 6) << 4)); - m = uint8_t((x[i].scales[is + 4] >> 4) | ((x[i].scales[is ] >> 6) << 4)); + sc = uint8_t((data_a[i].scales[is + 4] & 0xF) | ((data_a[i].scales[is - 4] >> 6) << 4)); + m = uint8_t((data_a[i].scales[is + 4] >> 4) | ((data_a[i].scales[is ] >> 6) << 4)); } const FLOAT_TYPE d1 = dall * sc; const FLOAT_TYPE m1 = dmin * m; if (is < 4) { - sc = uint8_t(x[i].scales[is + 1] & 63); - m = uint8_t(x[i].scales[is + 5] & 63); + sc = uint8_t(data_a[i].scales[is + 1] & 63); + m = uint8_t(data_a[i].scales[is + 5] & 63); } else { - sc = uint8_t((x[i].scales[is + 5] & 0xF) | ((x[i].scales[is - 3] >> 6) << 4)); - m = uint8_t((x[i].scales[is + 5] >> 4) | ((x[i].scales[is + 1] >> 6) << 4)); + sc = uint8_t((data_a[i].scales[is + 5] & 0xF) | ((data_a[i].scales[is - 3] >> 6) << 4)); + m = uint8_t((data_a[i].scales[is + 5] >> 4) | ((data_a[i].scales[is + 1] >> 6) << 4)); } const FLOAT_TYPE d2 = dall * sc; const FLOAT_TYPE m2 = dmin * m; [[unroll]] for (int l = 0; l < n; ++l) { - y[y_idx + l ] = D_TYPE(d1 * FLOAT_TYPE(x[i].qs[qs_idx + l] & 0xF) - m1); - y[y_idx + l + 32] = D_TYPE(d2 * FLOAT_TYPE(x[i].qs[qs_idx + l] >> 4) - m2); + data_b[y_idx + l ] = D_TYPE(d1 * FLOAT_TYPE(data_a[i].qs[qs_idx + l] & 0xF) - m1); + data_b[y_idx + l + 32] = D_TYPE(d2 * FLOAT_TYPE(data_a[i].qs[qs_idx + l] >> 4) - m2); } } } @@ -658,8 +658,8 @@ dequant_q5_K_body = """ layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A {A_TYPE x[];}; -layout (binding = 1) writeonly buffer D {D_TYPE y[];}; +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; layout (push_constant) uniform parameter { @@ -681,8 +681,8 @@ const int ir = tid % 16; const int is = 2 * il; - const FLOAT_TYPE dall = FLOAT_TYPE(x[i].d.x); - const FLOAT_TYPE dmin = FLOAT_TYPE(x[i].d.y); + const FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y); const int y_idx = i * QUANT_K + 64 * il + 2 * ir; const int qs_idx = 32*il + 2 * ir; @@ -691,39 +691,39 @@ uint8_t sc; uint8_t m; if (is < 4) { - sc = uint8_t(x[i].scales[is] & 63); - m = uint8_t(x[i].scales[is + 4] & 63); + sc = uint8_t(data_a[i].scales[is] & 63); + m = uint8_t(data_a[i].scales[is + 4] & 63); } else { - sc = uint8_t((x[i].scales[is + 4] & 0xF) | ((x[i].scales[is - 4] >> 6) << 4)); - m = uint8_t((x[i].scales[is + 4] >> 4) | ((x[i].scales[is ] >> 6) << 4)); + sc = uint8_t((data_a[i].scales[is + 4] & 0xF) | ((data_a[i].scales[is - 4] >> 6) << 4)); + m = uint8_t((data_a[i].scales[is + 4] >> 4) | ((data_a[i].scales[is ] >> 6) << 4)); } const FLOAT_TYPE d1 = dall * sc; const FLOAT_TYPE m1 = dmin * m; if (is < 4) { - sc = uint8_t(x[i].scales[is + 1] & 63); - m = uint8_t(x[i].scales[is + 5] & 63); + sc = uint8_t(data_a[i].scales[is + 1] & 63); + m = uint8_t(data_a[i].scales[is + 5] & 63); } else { - sc = uint8_t((x[i].scales[is + 5] & 0xF) | ((x[i].scales[is - 3] >> 6) << 4)); - m = uint8_t((x[i].scales[is + 5] >> 4) | ((x[i].scales[is + 1] >> 6) << 4)); + sc = uint8_t((data_a[i].scales[is + 5] & 0xF) | ((data_a[i].scales[is - 3] >> 6) << 4)); + m = uint8_t((data_a[i].scales[is + 5] >> 4) | ((data_a[i].scales[is + 1] >> 6) << 4)); } const FLOAT_TYPE d2 = dall * sc; const FLOAT_TYPE m2 = dmin * m; const uint8_t hm1 = uint8_t(1 << (2 * il )); const uint8_t hm2 = uint8_t(1 << (2 * il + 1)); - y[y_idx ] = D_TYPE(d1 * FLOAT_TYPE((x[i].qs[qs_idx ] & 0xF) + (((x[i].qh[qh_idx ] & hm1) != 0) ? 16 : 0)) - m1); - y[y_idx + 1] = D_TYPE(d1 * FLOAT_TYPE((x[i].qs[qs_idx + 1] & 0xF) + (((x[i].qh[qh_idx + 1] & hm1) != 0) ? 16 : 0)) - m1); - y[y_idx + 32] = D_TYPE(d2 * FLOAT_TYPE((x[i].qs[qs_idx ] >> 4) + (((x[i].qh[qh_idx ] & hm2) != 0) ? 16 : 0)) - m2); - y[y_idx + 33] = D_TYPE(d2 * FLOAT_TYPE((x[i].qs[qs_idx + 1] >> 4) + (((x[i].qh[qh_idx + 1] & hm2) != 0) ? 16 : 0)) - m2); + data_b[y_idx ] = D_TYPE(d1 * FLOAT_TYPE((data_a[i].qs[qs_idx ] & 0xF) + (((data_a[i].qh[qh_idx ] & hm1) != 0) ? 16 : 0)) - m1); + data_b[y_idx + 1] = D_TYPE(d1 * FLOAT_TYPE((data_a[i].qs[qs_idx + 1] & 0xF) + (((data_a[i].qh[qh_idx + 1] & hm1) != 0) ? 16 : 0)) - m1); + data_b[y_idx + 32] = D_TYPE(d2 * FLOAT_TYPE((data_a[i].qs[qs_idx ] >> 4) + (((data_a[i].qh[qh_idx ] & hm2) != 0) ? 16 : 0)) - m2); + data_b[y_idx + 33] = D_TYPE(d2 * FLOAT_TYPE((data_a[i].qs[qs_idx + 1] >> 4) + (((data_a[i].qh[qh_idx + 1] & hm2) != 0) ? 16 : 0)) - m2); } } """ dequant_q6_K_body = """ layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A {A_TYPE x[];}; -layout (binding = 1) writeonly buffer D {D_TYPE y[];}; +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_b[];}; layout (push_constant) uniform parameter { @@ -747,14 +747,14 @@ const int y_idx = i * QUANT_K + 128 * ip + il; const int ql_idx = 64 * ip + il; - const uint8_t qh = x[i].qh[32 * ip + il]; + const uint8_t qh = data_a[i].qh[32 * ip + il]; - const FLOAT_TYPE d = FLOAT_TYPE(x[i].d); + const FLOAT_TYPE d = FLOAT_TYPE(data_a[i].d); - y[y_idx + 0] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 0] * (int8_t((x[i].ql[ql_idx + 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32))); - y[y_idx + 32] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 2] * (int8_t((x[i].ql[ql_idx + 32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32))); - y[y_idx + 64] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 4] * (int8_t((x[i].ql[ql_idx + 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32))); - y[y_idx + 96] = D_TYPE(d * FLOAT_TYPE(x[i].scales[is + 6] * (int8_t((x[i].ql[ql_idx + 32] >> 4) | (((qh >> 6) & 3) << 4)) - 32))); + data_b[y_idx + 0] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 0] * (int8_t((data_a[i].ql[ql_idx + 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32))); + data_b[y_idx + 32] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 2] * (int8_t((data_a[i].ql[ql_idx + 32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32))); + data_b[y_idx + 64] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 4] * (int8_t((data_a[i].ql[ql_idx + 0] >> 4) | (((qh >> 4) & 3) << 4)) - 32))); + data_b[y_idx + 96] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 6] * (int8_t((data_a[i].ql[ql_idx + 32] >> 4) | (((qh >> 6) & 3) << 4)) - 32))); } } """ @@ -770,8 +770,8 @@ mul_mat_vec_body = """ layout(local_size_x = QUANT_K, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A {A_TYPE x[];}; -layout (binding = 1) readonly buffer B {B_TYPE y[];}; +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; layout (push_constant) uniform parameter @@ -799,8 +799,8 @@ DEQUANT_FUNC // matrix multiplication - tmp[tid] += FLOAT_TYPE(v.x) * FLOAT_TYPE(y[iybs + iqs + 0]); - tmp[tid] += FLOAT_TYPE(v.y) * FLOAT_TYPE(y[iybs + iqs + y_offset]); + tmp[tid] += FLOAT_TYPE(v.x) * FLOAT_TYPE(data_b[iybs + iqs + 0]); + tmp[tid] += FLOAT_TYPE(v.y) * FLOAT_TYPE(data_b[iybs + iqs + y_offset]); } // sum up partial sums and write back result @@ -821,8 +821,8 @@ mul_mat_vec_q2_K_body = """ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A {A_TYPE x[];}; -layout (binding = 1) readonly buffer B {B_TYPE y[];}; +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; layout (push_constant) uniform parameter @@ -856,28 +856,28 @@ [[unroll]] for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { const int y_idx = i * QUANT_K + y_offset; - const FLOAT_TYPE dall = FLOAT_TYPE(x[ib0 + i].d.x); - const FLOAT_TYPE dmin = FLOAT_TYPE(x[ib0 + i].d.y); + const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y); FLOAT_TYPE sum1 = FLOAT_TYPE(0.0); FLOAT_TYPE sum2 = FLOAT_TYPE(0.0); for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { - sum1 += FLOAT_TYPE(y[y_idx + l + 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l + 0] >> 0) & 3) - + FLOAT_TYPE(y[y_idx + l + 16]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 1] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l +16] >> 0) & 3) - + FLOAT_TYPE(y[y_idx + l + 32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l + 0] >> 2) & 3) - + FLOAT_TYPE(y[y_idx + l + 48]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 3] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l +16] >> 2) & 3) - + FLOAT_TYPE(y[y_idx + l + 64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l + 0] >> 4) & 3) - + FLOAT_TYPE(y[y_idx + l + 80]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 5] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l +16] >> 4) & 3) - + FLOAT_TYPE(y[y_idx + l + 96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l + 0] >> 6) & 3) - + FLOAT_TYPE(y[y_idx + l +112]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 7] & 0xF) * FLOAT_TYPE((x[ib0 + i].qs[q_offset + l +16] >> 6) & 3); - sum2 += FLOAT_TYPE(y[y_idx + l + 0]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 0] >> 4) & 0xF) - + FLOAT_TYPE(y[y_idx + l + 16]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 1] >> 4) & 0xF) - + FLOAT_TYPE(y[y_idx + l + 32]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 2] >> 4) & 0xF) - + FLOAT_TYPE(y[y_idx + l + 48]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 3] >> 4) & 0xF) - + FLOAT_TYPE(y[y_idx + l + 64]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 4] >> 4) & 0xF) - + FLOAT_TYPE(y[y_idx + l + 80]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 5] >> 4) & 0xF) - + FLOAT_TYPE(y[y_idx + l + 96]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 6] >> 4) & 0xF) - + FLOAT_TYPE(y[y_idx + l +112]) * FLOAT_TYPE((x[ib0 + i].scales[s_offset + 7] >> 4) & 0xF); + sum1 += FLOAT_TYPE(data_b[y_idx + l + 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 0) & 3) + + FLOAT_TYPE(data_b[y_idx + l + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 0) & 3) + + FLOAT_TYPE(data_b[y_idx + l + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 2) & 3) + + FLOAT_TYPE(data_b[y_idx + l + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 2) & 3) + + FLOAT_TYPE(data_b[y_idx + l + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 4) & 3) + + FLOAT_TYPE(data_b[y_idx + l + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 4) & 3) + + FLOAT_TYPE(data_b[y_idx + l + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 6) & 3) + + FLOAT_TYPE(data_b[y_idx + l +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 6) & 3); + sum2 += FLOAT_TYPE(data_b[y_idx + l + 0]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 0] >> 4) & 0xF) + + FLOAT_TYPE(data_b[y_idx + l + 16]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 1] >> 4) & 0xF) + + FLOAT_TYPE(data_b[y_idx + l + 32]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 2] >> 4) & 0xF) + + FLOAT_TYPE(data_b[y_idx + l + 48]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 3] >> 4) & 0xF) + + FLOAT_TYPE(data_b[y_idx + l + 64]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 4] >> 4) & 0xF) + + FLOAT_TYPE(data_b[y_idx + l + 80]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 5] >> 4) & 0xF) + + FLOAT_TYPE(data_b[y_idx + l + 96]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 6] >> 4) & 0xF) + + FLOAT_TYPE(data_b[y_idx + l +112]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 7] >> 4) & 0xF); } tmp[16 * ix + tid] += dall * sum1 - dmin * sum2; } @@ -898,8 +898,8 @@ mul_mat_vec_q3_K_body = """ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A {A_TYPE x[];}; -layout (binding = 1) readonly buffer B {B_TYPE y[];}; +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; layout (push_constant) uniform parameter @@ -936,18 +936,18 @@ [[unroll]] for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { const int y_idx = i * QUANT_K + y_offset; - const FLOAT_TYPE d = FLOAT_TYPE(x[ib0 + i].d); + const FLOAT_TYPE d = FLOAT_TYPE(data_a[ib0 + i].d); FLOAT_TYPE sum = FLOAT_TYPE(0.0); for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { - sum += FLOAT_TYPE(y[y_idx + l + 0]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[0] >> s_shift) & 0xF) | ((x[ib0 + i].scales[ 8] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l ] ) & 3) - (((x[ib0 + i].hmask[l0 + l ] & (m << 0)) != 0) ? 0 : 4)) - + FLOAT_TYPE(y[y_idx + l + 32]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[2] >> s_shift) & 0xF) | ((x[ib0 + i].scales[10] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l ] >> 2) & 3) - (((x[ib0 + i].hmask[l0 + l ] & (m << 1)) != 0) ? 0 : 4)) - + FLOAT_TYPE(y[y_idx + l + 64]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[4] >> s_shift) & 0xF) | ((x[ib0 + i].scales[ 8] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l ] >> 4) & 3) - (((x[ib0 + i].hmask[l0 + l ] & (m << 2)) != 0) ? 0 : 4)) - + FLOAT_TYPE(y[y_idx + l + 96]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[6] >> s_shift) & 0xF) | ((x[ib0 + i].scales[10] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l ] >> 6) & 3) - (((x[ib0 + i].hmask[l0 + l ] & (m << 3)) != 0) ? 0 : 4)) - + FLOAT_TYPE(y[y_idx + l + 16]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[1] >> s_shift) & 0xF) | ((x[ib0 + i].scales[ 9] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l+16] ) & 3) - (((x[ib0 + i].hmask[l0 + l+16] & (m << 0)) != 0) ? 0 : 4)) - + FLOAT_TYPE(y[y_idx + l + 48]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[3] >> s_shift) & 0xF) | ((x[ib0 + i].scales[11] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l+16] >> 2) & 3) - (((x[ib0 + i].hmask[l0 + l+16] & (m << 1)) != 0) ? 0 : 4)) - + FLOAT_TYPE(y[y_idx + l + 80]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[5] >> s_shift) & 0xF) | ((x[ib0 + i].scales[ 9] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l+16] >> 4) & 3) - (((x[ib0 + i].hmask[l0 + l+16] & (m << 2)) != 0) ? 0 : 4)) - + FLOAT_TYPE(y[y_idx + l +112]) * FLOAT_TYPE(int8_t(((x[ib0 + i].scales[7] >> s_shift) & 0xF) | ((x[ib0 + i].scales[11] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((x[ib0 + i].qs[q_offset + l+16] >> 6) & 3) - (((x[ib0 + i].hmask[l0 + l+16] & (m << 3)) != 0) ? 0 : 4)); + sum += FLOAT_TYPE(data_b[y_idx + l + 0]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[0] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] ) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 0)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[y_idx + l + 32]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[2] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 1)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[y_idx + l + 64]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[4] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 2)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[y_idx + l + 96]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[6] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 3)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[y_idx + l + 16]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[1] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] ) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 0)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[y_idx + l + 48]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[3] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 1)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[y_idx + l + 80]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[5] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 2)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[y_idx + l +112]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[7] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 3)) != 0) ? 0 : 4)); } tmp[16 * ix + tid] += d * sum; } @@ -968,8 +968,8 @@ mul_mat_vec_q4_K_body = """ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A {A_TYPE x[];}; -layout (binding = 1) readonly buffer B {B_TYPE y[];}; +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; layout (push_constant) uniform parameter @@ -1007,67 +1007,67 @@ const int y1_idx = i * QUANT_K + y_offset; const int y2_idx = y1_idx + 128; - const FLOAT_TYPE dall = FLOAT_TYPE(x[ib0 + i].d.x); - const FLOAT_TYPE dmin = FLOAT_TYPE(x[ib0 + i].d.y); + const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y); - const uint8_t sc0 = uint8_t( x[ib0 + i].scales[v_im * 2 ] & 0x3f); - const uint8_t sc1 = uint8_t( x[ib0 + i].scales[v_im * 2 + 1] & 0x3f); - const uint8_t sc2 = uint8_t( x[ib0 + i].scales[v_im * 2 + 4] & 0x3f); - const uint8_t sc3 = uint8_t( x[ib0 + i].scales[v_im * 2 + 5] & 0x3f); - const uint8_t sc4 = uint8_t(( x[ib0 + i].scales[v_im * 2 + 8] & 0x0f) | ((x[ib0 + i].scales[v_im * 2 ] & 0xc0) >> 2)); - const uint8_t sc5 = uint8_t(( x[ib0 + i].scales[v_im * 2 + 9] & 0x0f) | ((x[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2)); - const uint8_t sc6 = uint8_t(((x[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((x[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2)); - const uint8_t sc7 = uint8_t(((x[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((x[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2)); + const uint8_t sc0 = uint8_t( data_a[ib0 + i].scales[v_im * 2 ] & 0x3f); + const uint8_t sc1 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 1] & 0x3f); + const uint8_t sc2 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 4] & 0x3f); + const uint8_t sc3 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 5] & 0x3f); + const uint8_t sc4 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 8] & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 ] & 0xc0) >> 2)); + const uint8_t sc5 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 9] & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2)); + const uint8_t sc6 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2)); + const uint8_t sc7 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2)); #if K_QUANTS_PER_ITERATION == 2 - const uint8_t q4_0 = uint8_t(x[ib0 + i].qs[q_offset ] & 0xf); - const uint8_t q4_1 = uint8_t(x[ib0 + i].qs[q_offset + 1] & 0xf); - const uint8_t q4_2 = uint8_t(x[ib0 + i].qs[q_offset + 2] & 0xf); - const uint8_t q4_3 = uint8_t(x[ib0 + i].qs[q_offset + 3] & 0xf); - const uint8_t q4_4 = uint8_t(x[ib0 + i].qs[q_offset ] >> 4); - const uint8_t q4_5 = uint8_t(x[ib0 + i].qs[q_offset + 1] >> 4); - const uint8_t q4_6 = uint8_t(x[ib0 + i].qs[q_offset + 2] >> 4); - const uint8_t q4_7 = uint8_t(x[ib0 + i].qs[q_offset + 3] >> 4); - const uint8_t q4_8 = uint8_t(x[ib0 + i].qs[q_offset + 64] & 0xf); - const uint8_t q4_9 = uint8_t(x[ib0 + i].qs[q_offset + 65] & 0xf); - const uint8_t q4_10 = uint8_t(x[ib0 + i].qs[q_offset + 66] & 0xf); - const uint8_t q4_11 = uint8_t(x[ib0 + i].qs[q_offset + 67] & 0xf); - const uint8_t q4_12 = uint8_t(x[ib0 + i].qs[q_offset + 64] >> 4); - const uint8_t q4_13 = uint8_t(x[ib0 + i].qs[q_offset + 65] >> 4); - const uint8_t q4_14 = uint8_t(x[ib0 + i].qs[q_offset + 66] >> 4); - const uint8_t q4_15 = uint8_t(x[ib0 + i].qs[q_offset + 67] >> 4); - - const FLOAT_TYPE sx = FLOAT_TYPE(y[y1_idx] * q4_0 + y[y1_idx + 1] * q4_1 + y[y1_idx + 2] * q4_2 + y[y1_idx + 3] * q4_3); - const FLOAT_TYPE sy = FLOAT_TYPE(y[y1_idx + 32] * q4_4 + y[y1_idx + 33] * q4_5 + y[y1_idx + 34] * q4_6 + y[y1_idx + 35] * q4_7); - const FLOAT_TYPE sz = FLOAT_TYPE(y[y2_idx] * q4_8 + y[y2_idx + 1] * q4_9 + y[y2_idx + 2] * q4_10 + y[y2_idx + 3] * q4_11); - const FLOAT_TYPE sw = FLOAT_TYPE(y[y2_idx + 32] * q4_12 + y[y2_idx + 33] * q4_13 + y[y2_idx + 34] * q4_14 + y[y2_idx + 35] * q4_15); + const uint8_t q4_0 = uint8_t(data_a[ib0 + i].qs[q_offset ] & 0xf); + const uint8_t q4_1 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] & 0xf); + const uint8_t q4_2 = uint8_t(data_a[ib0 + i].qs[q_offset + 2] & 0xf); + const uint8_t q4_3 = uint8_t(data_a[ib0 + i].qs[q_offset + 3] & 0xf); + const uint8_t q4_4 = uint8_t(data_a[ib0 + i].qs[q_offset ] >> 4); + const uint8_t q4_5 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] >> 4); + const uint8_t q4_6 = uint8_t(data_a[ib0 + i].qs[q_offset + 2] >> 4); + const uint8_t q4_7 = uint8_t(data_a[ib0 + i].qs[q_offset + 3] >> 4); + const uint8_t q4_8 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf); + const uint8_t q4_9 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf); + const uint8_t q4_10 = uint8_t(data_a[ib0 + i].qs[q_offset + 66] & 0xf); + const uint8_t q4_11 = uint8_t(data_a[ib0 + i].qs[q_offset + 67] & 0xf); + const uint8_t q4_12 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] >> 4); + const uint8_t q4_13 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] >> 4); + const uint8_t q4_14 = uint8_t(data_a[ib0 + i].qs[q_offset + 66] >> 4); + const uint8_t q4_15 = uint8_t(data_a[ib0 + i].qs[q_offset + 67] >> 4); + + const FLOAT_TYPE sx = FLOAT_TYPE(data_b[y1_idx] * q4_0 + data_b[y1_idx + 1] * q4_1 + data_b[y1_idx + 2] * q4_2 + data_b[y1_idx + 3] * q4_3); + const FLOAT_TYPE sy = FLOAT_TYPE(data_b[y1_idx + 32] * q4_4 + data_b[y1_idx + 33] * q4_5 + data_b[y1_idx + 34] * q4_6 + data_b[y1_idx + 35] * q4_7); + const FLOAT_TYPE sz = FLOAT_TYPE(data_b[y2_idx] * q4_8 + data_b[y2_idx + 1] * q4_9 + data_b[y2_idx + 2] * q4_10 + data_b[y2_idx + 3] * q4_11); + const FLOAT_TYPE sw = FLOAT_TYPE(data_b[y2_idx + 32] * q4_12 + data_b[y2_idx + 33] * q4_13 + data_b[y2_idx + 34] * q4_14 + data_b[y2_idx + 35] * q4_15); const FLOAT_TYPE smin = FLOAT_TYPE( - y[y1_idx ] * sc2 + y[y1_idx + 32] * sc3 + y[y2_idx ] * sc6 + y[y2_idx + 32] * sc7 - + y[y1_idx + 1] * sc2 + y[y1_idx + 33] * sc3 + y[y2_idx + 1] * sc6 + y[y2_idx + 33] * sc7 - + y[y1_idx + 2] * sc2 + y[y1_idx + 34] * sc3 + y[y2_idx + 2] * sc6 + y[y2_idx + 34] * sc7 - + y[y1_idx + 3] * sc2 + y[y1_idx + 35] * sc3 + y[y2_idx + 3] * sc6 + y[y2_idx + 35] * sc7 + data_b[y1_idx ] * sc2 + data_b[y1_idx + 32] * sc3 + data_b[y2_idx ] * sc6 + data_b[y2_idx + 32] * sc7 + + data_b[y1_idx + 1] * sc2 + data_b[y1_idx + 33] * sc3 + data_b[y2_idx + 1] * sc6 + data_b[y2_idx + 33] * sc7 + + data_b[y1_idx + 2] * sc2 + data_b[y1_idx + 34] * sc3 + data_b[y2_idx + 2] * sc6 + data_b[y2_idx + 34] * sc7 + + data_b[y1_idx + 3] * sc2 + data_b[y1_idx + 35] * sc3 + data_b[y2_idx + 3] * sc6 + data_b[y2_idx + 35] * sc7 ); tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin); #else - const uint8_t q4_0 = uint8_t(x[ib0 + i].qs[q_offset ] & 0xf); - const uint8_t q4_1 = uint8_t(x[ib0 + i].qs[q_offset + 1] & 0xf); - const uint8_t q4_2 = uint8_t(x[ib0 + i].qs[q_offset ] >> 4); - const uint8_t q4_3 = uint8_t(x[ib0 + i].qs[q_offset + 1] >> 4); - const uint8_t q4_4 = uint8_t(x[ib0 + i].qs[q_offset + 64] & 0xf); - const uint8_t q4_5 = uint8_t(x[ib0 + i].qs[q_offset + 65] & 0xf); - const uint8_t q4_6 = uint8_t(x[ib0 + i].qs[q_offset + 64] >> 4); - const uint8_t q4_7 = uint8_t(x[ib0 + i].qs[q_offset + 65] >> 4); - - const FLOAT_TYPE sx = FLOAT_TYPE(y[y1_idx ] * q4_0 + y[y1_idx + 1] * q4_1); - const FLOAT_TYPE sy = FLOAT_TYPE(y[y1_idx + 32] * q4_2 + y[y1_idx + 33] * q4_3); - const FLOAT_TYPE sz = FLOAT_TYPE(y[y2_idx ] * q4_4 + y[y2_idx + 1] * q4_5); - const FLOAT_TYPE sw = FLOAT_TYPE(y[y2_idx + 32] * q4_6 + y[y2_idx + 33] * q4_7); + const uint8_t q4_0 = uint8_t(data_a[ib0 + i].qs[q_offset ] & 0xf); + const uint8_t q4_1 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] & 0xf); + const uint8_t q4_2 = uint8_t(data_a[ib0 + i].qs[q_offset ] >> 4); + const uint8_t q4_3 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] >> 4); + const uint8_t q4_4 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf); + const uint8_t q4_5 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf); + const uint8_t q4_6 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] >> 4); + const uint8_t q4_7 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] >> 4); + + const FLOAT_TYPE sx = FLOAT_TYPE(data_b[y1_idx ] * q4_0 + data_b[y1_idx + 1] * q4_1); + const FLOAT_TYPE sy = FLOAT_TYPE(data_b[y1_idx + 32] * q4_2 + data_b[y1_idx + 33] * q4_3); + const FLOAT_TYPE sz = FLOAT_TYPE(data_b[y2_idx ] * q4_4 + data_b[y2_idx + 1] * q4_5); + const FLOAT_TYPE sw = FLOAT_TYPE(data_b[y2_idx + 32] * q4_6 + data_b[y2_idx + 33] * q4_7); const FLOAT_TYPE smin = FLOAT_TYPE( - y[y1_idx] * sc2 + y[y1_idx + 32] * sc3 + y[y2_idx] * sc6 + y[y2_idx + 32] * sc7 - + y[y1_idx + 1] * sc2 + y[y1_idx + 33] * sc3 + y[y2_idx + 1] * sc6 + y[y2_idx + 33] * sc7 + data_b[y1_idx] * sc2 + data_b[y1_idx + 32] * sc3 + data_b[y2_idx] * sc6 + data_b[y2_idx + 32] * sc7 + + data_b[y1_idx + 1] * sc2 + data_b[y1_idx + 33] * sc3 + data_b[y2_idx + 1] * sc6 + data_b[y2_idx + 33] * sc7 ); - tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * FLOAT_TYPE(x[ib0 + i].scales[v_im] & 0x3f) + sy * FLOAT_TYPE(x[ib0 + i].scales[v_im + 1] & 0x3f) + sz * FLOAT_TYPE((x[ib0 + i].scales[v_im + 4] & 0x0f) | ((x[ib0 + i].scales[v_im] & 0xc0) >> 2)) + sw * FLOAT_TYPE((x[ib0 + i].scales[v_im + 5] & 0x0f) | ((x[ib0 + i].scales[v_im + 1] & 0xc0) >> 2))) - dmin * smin); + tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * FLOAT_TYPE(data_a[ib0 + i].scales[v_im] & 0x3f) + sy * FLOAT_TYPE(data_a[ib0 + i].scales[v_im + 1] & 0x3f) + sz * FLOAT_TYPE((data_a[ib0 + i].scales[v_im + 4] & 0x0f) | ((data_a[ib0 + i].scales[v_im] & 0xc0) >> 2)) + sw * FLOAT_TYPE((data_a[ib0 + i].scales[v_im + 5] & 0x0f) | ((data_a[ib0 + i].scales[v_im + 1] & 0xc0) >> 2))) - dmin * smin); #endif } @@ -1087,8 +1087,8 @@ mul_mat_vec_q5_K_body = """ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A {A_TYPE x[];}; -layout (binding = 1) readonly buffer B {B_TYPE y[];}; +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; layout (push_constant) uniform parameter @@ -1126,62 +1126,62 @@ const int y1_idx = i * QUANT_K + y_offset; const int y2_idx = y1_idx + 128; - const FLOAT_TYPE dall = FLOAT_TYPE(x[ib0 + i].d.x); - const FLOAT_TYPE dmin = FLOAT_TYPE(x[ib0 + i].d.y); - - const uint8_t sc0 = uint8_t( x[ib0 + i].scales[v_im * 2 ] & 0x3f); - const uint8_t sc1 = uint8_t( x[ib0 + i].scales[v_im * 2 + 1] & 0x3f); - const uint8_t sc2 = uint8_t( x[ib0 + i].scales[v_im * 2 + 4] & 0x3f); - const uint8_t sc3 = uint8_t( x[ib0 + i].scales[v_im * 2 + 5] & 0x3f); - const uint8_t sc4 = uint8_t(( x[ib0 + i].scales[v_im * 2 + 8] & 0x0f) | ((x[ib0 + i].scales[v_im * 2 ] & 0xc0) >> 2)); - const uint8_t sc5 = uint8_t(( x[ib0 + i].scales[v_im * 2 + 9] & 0x0f) | ((x[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2)); - const uint8_t sc6 = uint8_t(((x[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((x[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2)); - const uint8_t sc7 = uint8_t(((x[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((x[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2)); - - const uint8_t q4_0 = uint8_t(x[ib0 + i].qs[q_offset ] & 0xf); - const uint8_t q4_1 = uint8_t(x[ib0 + i].qs[q_offset + 1] & 0xf); - const uint8_t q4_2 = uint8_t(x[ib0 + i].qs[q_offset + 16] & 0xf); - const uint8_t q4_3 = uint8_t(x[ib0 + i].qs[q_offset + 17] & 0xf); - const uint8_t q4_4 = uint8_t(x[ib0 + i].qs[q_offset ] >> 4); - const uint8_t q4_5 = uint8_t(x[ib0 + i].qs[q_offset + 1] >> 4); - const uint8_t q4_6 = uint8_t(x[ib0 + i].qs[q_offset + 16] >> 4); - const uint8_t q4_7 = uint8_t(x[ib0 + i].qs[q_offset + 17] >> 4); - const uint8_t q4_8 = uint8_t(x[ib0 + i].qs[q_offset + 64] & 0xf); - const uint8_t q4_9 = uint8_t(x[ib0 + i].qs[q_offset + 65] & 0xf); - const uint8_t q4_10 = uint8_t(x[ib0 + i].qs[q_offset + 80] & 0xf); - const uint8_t q4_11 = uint8_t(x[ib0 + i].qs[q_offset + 81] & 0xf); - const uint8_t q4_12 = uint8_t(x[ib0 + i].qs[q_offset + 64] >> 4); - const uint8_t q4_13 = uint8_t(x[ib0 + i].qs[q_offset + 65] >> 4); - const uint8_t q4_14 = uint8_t(x[ib0 + i].qs[q_offset + 80] >> 4); - const uint8_t q4_15 = uint8_t(x[ib0 + i].qs[q_offset + 81] >> 4); + const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x); + const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y); + + const uint8_t sc0 = uint8_t( data_a[ib0 + i].scales[v_im * 2 ] & 0x3f); + const uint8_t sc1 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 1] & 0x3f); + const uint8_t sc2 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 4] & 0x3f); + const uint8_t sc3 = uint8_t( data_a[ib0 + i].scales[v_im * 2 + 5] & 0x3f); + const uint8_t sc4 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 8] & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 ] & 0xc0) >> 2)); + const uint8_t sc5 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 9] & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2)); + const uint8_t sc6 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2)); + const uint8_t sc7 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2)); + + const uint8_t q4_0 = uint8_t(data_a[ib0 + i].qs[q_offset ] & 0xf); + const uint8_t q4_1 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] & 0xf); + const uint8_t q4_2 = uint8_t(data_a[ib0 + i].qs[q_offset + 16] & 0xf); + const uint8_t q4_3 = uint8_t(data_a[ib0 + i].qs[q_offset + 17] & 0xf); + const uint8_t q4_4 = uint8_t(data_a[ib0 + i].qs[q_offset ] >> 4); + const uint8_t q4_5 = uint8_t(data_a[ib0 + i].qs[q_offset + 1] >> 4); + const uint8_t q4_6 = uint8_t(data_a[ib0 + i].qs[q_offset + 16] >> 4); + const uint8_t q4_7 = uint8_t(data_a[ib0 + i].qs[q_offset + 17] >> 4); + const uint8_t q4_8 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf); + const uint8_t q4_9 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf); + const uint8_t q4_10 = uint8_t(data_a[ib0 + i].qs[q_offset + 80] & 0xf); + const uint8_t q4_11 = uint8_t(data_a[ib0 + i].qs[q_offset + 81] & 0xf); + const uint8_t q4_12 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] >> 4); + const uint8_t q4_13 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] >> 4); + const uint8_t q4_14 = uint8_t(data_a[ib0 + i].qs[q_offset + 80] >> 4); + const uint8_t q4_15 = uint8_t(data_a[ib0 + i].qs[q_offset + 81] >> 4); const FLOAT_TYPE sx = FLOAT_TYPE( - y[y1_idx ] * (q4_0 + (((x[ib0 + i].qh[l0 ] & hm1) != 0) ? 16 : 0)) - + y[y1_idx + 1] * (q4_1 + (((x[ib0 + i].qh[l0 + 1] & hm1) != 0) ? 16 : 0)) - + y[y1_idx + 16] * (q4_2 + (((x[ib0 + i].qh[l0 + 16] & hm1) != 0) ? 16 : 0)) - + y[y1_idx + 17] * (q4_3 + (((x[ib0 + i].qh[l0 + 17] & hm1) != 0) ? 16 : 0)) + data_b[y1_idx ] * (q4_0 + (((data_a[ib0 + i].qh[l0 ] & hm1) != 0) ? 16 : 0)) + + data_b[y1_idx + 1] * (q4_1 + (((data_a[ib0 + i].qh[l0 + 1] & hm1) != 0) ? 16 : 0)) + + data_b[y1_idx + 16] * (q4_2 + (((data_a[ib0 + i].qh[l0 + 16] & hm1) != 0) ? 16 : 0)) + + data_b[y1_idx + 17] * (q4_3 + (((data_a[ib0 + i].qh[l0 + 17] & hm1) != 0) ? 16 : 0)) ); const FLOAT_TYPE sy = FLOAT_TYPE( - y[y1_idx + 32] * (q4_4 + (((x[ib0 + i].qh[l0 ] & (hm1 << 1)) != 0) ? 16 : 0)) - + y[y1_idx + 33] * (q4_5 + (((x[ib0 + i].qh[l0 + 1] & (hm1 << 1)) != 0) ? 16 : 0)) - + y[y1_idx + 48] * (q4_6 + (((x[ib0 + i].qh[l0 + 16] & (hm1 << 1)) != 0) ? 16 : 0)) - + y[y1_idx + 49] * (q4_7 + (((x[ib0 + i].qh[l0 + 17] & (hm1 << 1)) != 0) ? 16 : 0)) + data_b[y1_idx + 32] * (q4_4 + (((data_a[ib0 + i].qh[l0 ] & (hm1 << 1)) != 0) ? 16 : 0)) + + data_b[y1_idx + 33] * (q4_5 + (((data_a[ib0 + i].qh[l0 + 1] & (hm1 << 1)) != 0) ? 16 : 0)) + + data_b[y1_idx + 48] * (q4_6 + (((data_a[ib0 + i].qh[l0 + 16] & (hm1 << 1)) != 0) ? 16 : 0)) + + data_b[y1_idx + 49] * (q4_7 + (((data_a[ib0 + i].qh[l0 + 17] & (hm1 << 1)) != 0) ? 16 : 0)) ); const FLOAT_TYPE sz = FLOAT_TYPE( - y[y2_idx ] * (q4_8 + (((x[ib0 + i].qh[l0 ] & hm2) != 0) ? 16 : 0)) - + y[y2_idx + 1] * (q4_9 + (((x[ib0 + i].qh[l0 + 1] & hm2) != 0) ? 16 : 0)) - + y[y2_idx + 16] * (q4_10 + (((x[ib0 + i].qh[l0 + 16] & hm2) != 0) ? 16 : 0)) - + y[y2_idx + 17] * (q4_11 + (((x[ib0 + i].qh[l0 + 17] & hm2) != 0) ? 16 : 0)) + data_b[y2_idx ] * (q4_8 + (((data_a[ib0 + i].qh[l0 ] & hm2) != 0) ? 16 : 0)) + + data_b[y2_idx + 1] * (q4_9 + (((data_a[ib0 + i].qh[l0 + 1] & hm2) != 0) ? 16 : 0)) + + data_b[y2_idx + 16] * (q4_10 + (((data_a[ib0 + i].qh[l0 + 16] & hm2) != 0) ? 16 : 0)) + + data_b[y2_idx + 17] * (q4_11 + (((data_a[ib0 + i].qh[l0 + 17] & hm2) != 0) ? 16 : 0)) ); const FLOAT_TYPE sw = FLOAT_TYPE( - y[y2_idx + 32] * (q4_12 + (((x[ib0 + i].qh[l0 ] & (hm2 << 1)) != 0) ? 16 : 0)) - + y[y2_idx + 33] * (q4_13 + (((x[ib0 + i].qh[l0 + 1] & (hm2 << 1)) != 0) ? 16 : 0)) - + y[y2_idx + 48] * (q4_14 + (((x[ib0 + i].qh[l0 + 16] & (hm2 << 1)) != 0) ? 16 : 0)) - + y[y2_idx + 49] * (q4_15 + (((x[ib0 + i].qh[l0 + 17] & (hm2 << 1)) != 0) ? 16 : 0)) + data_b[y2_idx + 32] * (q4_12 + (((data_a[ib0 + i].qh[l0 ] & (hm2 << 1)) != 0) ? 16 : 0)) + + data_b[y2_idx + 33] * (q4_13 + (((data_a[ib0 + i].qh[l0 + 1] & (hm2 << 1)) != 0) ? 16 : 0)) + + data_b[y2_idx + 48] * (q4_14 + (((data_a[ib0 + i].qh[l0 + 16] & (hm2 << 1)) != 0) ? 16 : 0)) + + data_b[y2_idx + 49] * (q4_15 + (((data_a[ib0 + i].qh[l0 + 17] & (hm2 << 1)) != 0) ? 16 : 0)) ); const FLOAT_TYPE smin = FLOAT_TYPE( - (y[y1_idx] + y[y1_idx + 1] + y[y1_idx + 16] + y[y1_idx + 17]) * sc2 + (y[y1_idx + 32] + y[y1_idx + 33] + y[y1_idx + 48] + y[y1_idx + 49]) * sc3 - + (y[y2_idx] + y[y2_idx + 1] + y[y2_idx + 16] + y[y2_idx + 17]) * sc6 + (y[y2_idx + 32] + y[y2_idx + 33] + y[y2_idx + 48] + y[y2_idx + 49]) * sc7 + (data_b[y1_idx] + data_b[y1_idx + 1] + data_b[y1_idx + 16] + data_b[y1_idx + 17]) * sc2 + (data_b[y1_idx + 32] + data_b[y1_idx + 33] + data_b[y1_idx + 48] + data_b[y1_idx + 49]) * sc3 + + (data_b[y2_idx] + data_b[y2_idx + 1] + data_b[y2_idx + 16] + data_b[y2_idx + 17]) * sc6 + (data_b[y2_idx + 32] + data_b[y2_idx + 33] + data_b[y2_idx + 48] + data_b[y2_idx + 49]) * sc7 ); tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin); } @@ -1202,8 +1202,8 @@ mul_mat_vec_q6_K_body = """ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) readonly buffer A {A_TYPE x[];}; -layout (binding = 1) readonly buffer B {B_TYPE y[];}; +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; layout (push_constant) uniform parameter @@ -1245,25 +1245,25 @@ [[unroll]] for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) { const int y_idx = i * QUANT_K + y_offset; - const FLOAT_TYPE d = FLOAT_TYPE(x[ib0 + i].d); + const FLOAT_TYPE d = FLOAT_TYPE(data_a[ib0 + i].d); #if K_QUANTS_PER_ITERATION == 1 - FLOAT_TYPE sum = FLOAT_TYPE(y[y_idx + 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 0] & 0xF) | ((x[ib0 + i].qh[qh_offset + 0] & 0x03) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + 16]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 16] & 0xF) | ((x[ib0 + i].qh[qh_offset + 16] & 0x03) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + 32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 32] & 0xF) | ((x[ib0 + i].qh[qh_offset + 0] & 0x0c) << 2)) - 32) - + FLOAT_TYPE(y[y_idx + 48]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 48] & 0xF) | ((x[ib0 + i].qh[qh_offset + 16] & 0x0c) << 2)) - 32) - + FLOAT_TYPE(y[y_idx + 64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 0] >> 4) | ((x[ib0 + i].qh[qh_offset + 0] & 0x30) >> 0)) - 32) - + FLOAT_TYPE(y[y_idx + 80]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 16] >> 4) | ((x[ib0 + i].qh[qh_offset + 16] & 0x30) >> 0)) - 32) - + FLOAT_TYPE(y[y_idx + 96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 32] >> 4) | ((x[ib0 + i].qh[qh_offset + 0] & 0xc0) >> 2)) - 32) - + FLOAT_TYPE(y[y_idx +112]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + 48] >> 4) | ((x[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32); + FLOAT_TYPE sum = FLOAT_TYPE(data_b[y_idx + 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 0] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x03) << 4)) - 32) + + FLOAT_TYPE(data_b[y_idx + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x03) << 4)) - 32) + + FLOAT_TYPE(data_b[y_idx + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x0c) << 2)) - 32) + + FLOAT_TYPE(data_b[y_idx + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x0c) << 2)) - 32) + + FLOAT_TYPE(data_b[y_idx + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 0] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x30) >> 0)) - 32) + + FLOAT_TYPE(data_b[y_idx + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x30) >> 0)) - 32) + + FLOAT_TYPE(data_b[y_idx + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0xc0) >> 2)) - 32) + + FLOAT_TYPE(data_b[y_idx +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32); tmp[16 * ix + tid] += sum; #else FLOAT_TYPE sum = FLOAT_TYPE(0.0); [[unroll]] for (int l = 0; l < 4; ++l) { - sum += FLOAT_TYPE(y[y_idx + l+ 0]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + l+32]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((x[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + l+64]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+ 0] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32) - + FLOAT_TYPE(y[y_idx + l+96]) * FLOAT_TYPE(x[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((x[ib0 + i].ql[ql_offset + l+32] >> 4) | (((x[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32); + sum += FLOAT_TYPE(data_b[y_idx + l+ 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32) + + FLOAT_TYPE(data_b[y_idx + l+32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) + + FLOAT_TYPE(data_b[y_idx + l+64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0] >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32) + + FLOAT_TYPE(data_b[y_idx + l+96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32] >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32); } tmp[16 * ix + tid] += sum; #endif @@ -1311,151 +1311,118 @@ } """ -# MUL F32 -mul_f32_src = """#version 450 +generic_head = """ +#version 450 -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; +#extension GL_EXT_shader_16bit_storage : require +""" -layout (binding = 0) buffer X {X_TYPE data_x[];}; -layout (binding = 1) buffer Y {Y_TYPE data_y[];}; -layout (binding = 2) buffer D {D_TYPE data_d[];}; +# MUL F32 +mul_body = """layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer Y {B_TYPE data_b[];}; +layout (binding = 2) writeonly buffer D {D_TYPE data_d[];}; layout (push_constant) uniform parameter { - int M; - int N; - int stride_x; - int stride_y; - int stride_d; - int x_offset; - int y_offset; - int d_offset; - float scale; + int KX; + int KY; + float param; } p; void main() { - const int x = int(gl_GlobalInvocationID.x); - const int y = int(gl_GlobalInvocationID.y); + const int idx = int(gl_GlobalInvocationID.x); - if (x >= p.M || y >= p.N) { + if (idx >= p.KX) { return; } - data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(data_x[p.x_offset + y * p.stride_x + x]) * D_TYPE(data_y[p.y_offset + x]); + data_d[idx] = D_TYPE(FLOAT_TYPE(data_a[idx]) * FLOAT_TYPE(data_b[idx % p.KY])); } """ # ADD -add_head = """ -#version 450 - -#extension GL_EXT_shader_16bit_storage : require -""" - add_body = """ -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; -layout (binding = 0) buffer X {X_TYPE data_x[];}; -layout (binding = 1) buffer Y {Y_TYPE data_y[];}; -layout (binding = 2) buffer D {D_TYPE data_d[];}; +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer Y {B_TYPE data_b[];}; +layout (binding = 2) writeonly buffer D {D_TYPE data_d[];}; layout (push_constant) uniform parameter { - int M; - int N; - int stride_x; - int stride_y; - int stride_d; - int x_offset; - int y_offset; - int d_offset; - float scale; + int KX; + int KY; + float param; } p; void main() { - const int x = int(gl_GlobalInvocationID.x); - const int y = int(gl_GlobalInvocationID.y); + const int idx = int(gl_GlobalInvocationID.x); - if (x >= p.M || y >= p.N) { + if (idx >= p.KX) { return; } - data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(FLOAT_TYPE(data_x[p.x_offset + y * p.stride_x + x]) + FLOAT_TYPE(data_y[p.y_offset + x])); + data_d[idx] = D_TYPE(FLOAT_TYPE(data_a[idx]) + FLOAT_TYPE(data_b[idx % p.KY])); } """ # SCALE -scale_src = """#version 450 +scale_body = """layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; - -layout (binding = 0) buffer X {X_TYPE data_x[];}; -layout (binding = 1) buffer D {D_TYPE data_d[];}; +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; layout (push_constant) uniform parameter { - int M; - int N; - int stride_x; - int stride_y; - int stride_d; - int x_offset; - int y_offset; - int d_offset; - float scale; + int KX; + int KY; + float param; } p; void main() { - const int x = int(gl_GlobalInvocationID.x); - const int y = int(gl_GlobalInvocationID.y); + const int idx = int(gl_GlobalInvocationID.x); - if (x >= p.M || y >= p.N) { + if (idx >= p.KX) { return; } - data_d[p.d_offset + y * p.stride_d + x] = D_TYPE(data_x[p.x_offset + y * p.stride_x + x]) * D_TYPE(p.scale); + data_d[idx] = D_TYPE(FLOAT_TYPE(data_a[idx]) * FLOAT_TYPE(p.param)); } """ # GET_ROWS -get_rows_head = """#version 450 - +get_rows_body = """ #extension GL_EXT_control_flow_attributes : enable -#extension GL_EXT_shader_16bit_storage : require #extension GL_EXT_shader_8bit_storage : require -""" -get_rows_body = """layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; -layout (binding = 0) buffer X {A_TYPE x[];}; -layout (binding = 1) buffer Y {int y[];}; -layout (binding = 2) buffer D {D_TYPE dst[];}; +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer Y {int data_b[];}; +layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; layout (push_constant) uniform parameter { int M; int N; - int stride_x; - int stride_y; - int stride_d; - int x_offset; - int y_offset; - int d_offset; - float scale; + float param; } p; void main() { const int col = int(gl_GlobalInvocationID.x) * 2; const int row = int(gl_GlobalInvocationID.y); - if (col >= p.M) { + if (col >= p.N) { return; } - const int r = y[row]; + const int r = data_b[row]; - // copy x[r*p.M + col] to dst[row*p.M + col] - const int xi = r*p.M + col; - const int di = row*p.M + col; + // copy data_a[r*p.N + col] to dst[row*p.M + col] + const int xi = r*p.N + col; + const int di = row*p.N + col; const int ib = xi/QUANT_K; // block index const int iqs = (xi%QUANT_K)/QUANT_R; // quant index @@ -1469,6 +1436,53 @@ } """ +rms_norm_body = """ +#extension GL_EXT_control_flow_attributes : enable +#define BLOCK_SIZE 512 + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +layout (push_constant) uniform parameter +{ + int M; + int N; + float param; +} p; + +shared FLOAT_TYPE sum[BLOCK_SIZE]; + +void main() { + const uint row = uint(gl_WorkGroupID.x); + const uint tid = uint(gl_LocalInvocationID.x); + + sum[tid] = FLOAT_TYPE(0.0f); // partial sum for thread in warp + + [[unroll]] for (uint col = tid; col < p.M; col += BLOCK_SIZE) { + const FLOAT_TYPE xi = FLOAT_TYPE(data_a[row*p.M + col]); + sum[tid] += xi * xi; + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { + if (tid < s) { + sum[tid] += sum[tid + s]; + } + barrier(); + } + + const FLOAT_TYPE mean = sum[0] / FLOAT_TYPE(p.M); + const FLOAT_TYPE scale = inversesqrt(mean + FLOAT_TYPE(p.param)); + + for (uint col = tid; col < p.M; col += BLOCK_SIZE) { + data_d[row*p.M + col] = D_TYPE(scale * FLOAT_TYPE(data_a[row*p.M + col])); + } +} +""" + GLSLC = "glslc" VK_NUM_TYPES = 16 @@ -1582,7 +1596,7 @@ async def main(): vec_type = "vec4" stream = [] - stream.extend((mulmat_head, shader_float_type, mulmat_body)); + stream.extend((mulmat_head, shader_float_type, mulmat_body)) tasks.append(string_to_spv("matmul_f32_l", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) tasks.append(string_to_spv("matmul_f32_m", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) tasks.append(string_to_spv("matmul_f32_s", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) @@ -1608,9 +1622,9 @@ async def main(): tasks.append(string_to_spv("f32_to_f16", f32_to_f16_src, {}, fp16)) for i in range(0, VK_NUM_TYPES): - stream.clear(); + stream.clear() - stream.extend((dequant_head, shader_int8_ext, shader_float_type)); + stream.extend((dequant_head, shader_int8_ext, shader_float_type)) if i == GGML_TYPE_F16: stream.extend((shader_f16_defines, shader_f16_dequant_func_compat if not fp16 else shader_f16_dequant_func, dequant_body)) @@ -1641,7 +1655,7 @@ async def main(): # mul mat vec for i in range(0, VK_NUM_TYPES): - stream.clear(); + stream.clear() stream.extend((mul_mat_vec_head, shader_int8_ext, shader_float_type)) if i == GGML_TYPE_F16: @@ -1674,8 +1688,8 @@ async def main(): # get_rows for i in range(0, VK_NUM_TYPES): - stream.clear(); - stream.extend((get_rows_head, shader_int8_ext, shader_float_type)) + stream.clear() + stream.extend((generic_head, shader_int8_ext, shader_float_type)) if i == GGML_TYPE_F16: stream.extend((shader_f16_defines, shader_f16_dequant_func_compat if not fp16 else shader_f16_dequant_func, get_rows_body)) @@ -1696,20 +1710,19 @@ async def main(): tasks.append(string_to_spv(f"get_rows_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float"}, fp16)) # add - stream.clear(); - - stream.extend((add_head, shader_float_type, add_body)) - tasks.append(string_to_spv("add_f32", "".join(stream), {"X_TYPE": "float", "Y_TYPE": "float", "D_TYPE": "float"}, fp16)) - - stream.clear(); - stream.extend((add_head, shader_float_type, add_body)) - tasks.append(string_to_spv("add_f16_f32_f16", "".join(stream), {"X_TYPE": "float16_t", "Y_TYPE": "float", "D_TYPE": "float16_t"}, fp16)) + stream.clear() + stream.extend((generic_head, shader_float_type, add_body)) + tasks.append(string_to_spv("add_f32", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("add_f16_f32_f16", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float16_t"}, fp16)) # Static shaders tasks.append(string_to_spv("split_k_reduce", mulmat_split_k_reduce_src, {}, fp16)) - tasks.append(string_to_spv("mul_f32", mul_f32_src, {"X_TYPE": "float", "Y_TYPE": "float", "D_TYPE": "float"}, fp16)) + tasks.append(string_to_spv("mul_f32", f"{generic_head}\n{shader_float_type}\n{mul_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) + + tasks.append(string_to_spv("scale_f32", f"{generic_head}\n{shader_float_type}\n{scale_body}", {"A_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("scale_f32", scale_src, {"X_TYPE": "float", "D_TYPE": "float"}, fp16)) + # Shaders where precision is needed, so no fp16 version + tasks.append(string_to_spv("rms_norm_f32", f"{generic_head}\n{shader_f32}\n{rms_norm_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) await asyncio.gather(*tasks) From 39cd277073679f636dfcb5dcac909c3a79105bd3 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 18 Nov 2023 09:45:50 +0100 Subject: [PATCH 108/142] Fix issues with float16 overflows in shaders --- ggml-vulkan.cpp | 76 +++++++++++++------------------------ ggml_vk_generate_shaders.py | 68 +++++++++++++++++---------------- 2 files changed, 61 insertions(+), 83 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 88159452f7f3d..67acf2237f9a7 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -730,30 +730,6 @@ static void ggml_vk_load_shaders() { vk_pipeline_dequant[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("dequant_q5_K", dequant_q5_K_len, dequant_q5_K_data, "main", 2, 4 * sizeof(int), {256 * 64, 1, 1}, {}, 1); vk_pipeline_dequant[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("dequant_q6_K", dequant_q6_K_len, dequant_q6_K_data, "main", 2, 4 * sizeof(int), {256 * 64, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16", mul_mat_vec_f16_len, mul_mat_vec_f16_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0", mul_mat_vec_q4_0_len, mul_mat_vec_q4_0_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1", mul_mat_vec_q4_1_len, mul_mat_vec_q4_1_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0", mul_mat_vec_q5_0_len, mul_mat_vec_q5_0_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1", mul_mat_vec_q5_1_len, mul_mat_vec_q5_1_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0", mul_mat_vec_q8_0_len, mul_mat_vec_q8_0_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K", mul_mat_vec_q2_K_len, mul_mat_vec_q2_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K", mul_mat_vec_q3_K_len, mul_mat_vec_q3_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K", mul_mat_vec_q4_K_len, mul_mat_vec_q4_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K", mul_mat_vec_q5_K_len, mul_mat_vec_q5_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K", mul_mat_vec_q6_K_len, mul_mat_vec_q6_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16_f32", mul_mat_vec_f16_f32_len, mul_mat_vec_f16_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0_f32", mul_mat_vec_q4_0_f32_len, mul_mat_vec_q4_0_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1_f32", mul_mat_vec_q4_1_f32_len, mul_mat_vec_q4_1_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0_f32", mul_mat_vec_q5_0_f32_len, mul_mat_vec_q5_0_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1_f32", mul_mat_vec_q5_1_f32_len, mul_mat_vec_q5_1_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0_f32", mul_mat_vec_q8_0_f32_len, mul_mat_vec_q8_0_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K_f32", mul_mat_vec_q2_K_f32_len, mul_mat_vec_q2_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K_f32", mul_mat_vec_q3_K_f32_len, mul_mat_vec_q3_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K_f32", mul_mat_vec_q4_K_f32_len, mul_mat_vec_q4_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K_f32", mul_mat_vec_q5_K_f32_len, mul_mat_vec_q5_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K_f32", mul_mat_vec_q6_K_f32_len, mul_mat_vec_q6_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - // get_rows vk_pipeline_get_rows[GGML_TYPE_F16] = ggml_vk_create_pipeline("get_rows_f16", get_rows_f16_len, get_rows_f16_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); vk_pipeline_get_rows[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("get_rows_q4_0", get_rows_q4_0_len, get_rows_q4_0_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); @@ -817,30 +793,6 @@ static void ggml_vk_load_shaders() { vk_pipeline_dequant[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("dequant_q5_K", dequant_q5_K_fp32_len, dequant_q5_K_fp32_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); vk_pipeline_dequant[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("dequant_q6_K", dequant_q6_K_fp32_len, dequant_q6_K_fp32_data, "main", 2, 4 * sizeof(int), {256 * 32, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16", mul_mat_vec_f16_fp32_len, mul_mat_vec_f16_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0", mul_mat_vec_q4_0_fp32_len, mul_mat_vec_q4_0_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1", mul_mat_vec_q4_1_fp32_len, mul_mat_vec_q4_1_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0", mul_mat_vec_q5_0_fp32_len, mul_mat_vec_q5_0_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1", mul_mat_vec_q5_1_fp32_len, mul_mat_vec_q5_1_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0", mul_mat_vec_q8_0_fp32_len, mul_mat_vec_q8_0_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K", mul_mat_vec_q2_K_fp32_len, mul_mat_vec_q2_K_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K", mul_mat_vec_q3_K_fp32_len, mul_mat_vec_q3_K_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K", mul_mat_vec_q4_K_fp32_len, mul_mat_vec_q4_K_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K", mul_mat_vec_q5_K_fp32_len, mul_mat_vec_q5_K_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K", mul_mat_vec_q6_K_fp32_len, mul_mat_vec_q6_K_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16_f32", mul_mat_vec_f16_f32_fp32_len, mul_mat_vec_f16_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0_f32", mul_mat_vec_q4_0_f32_fp32_len, mul_mat_vec_q4_0_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1_f32", mul_mat_vec_q4_1_f32_fp32_len, mul_mat_vec_q4_1_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0_f32", mul_mat_vec_q5_0_f32_fp32_len, mul_mat_vec_q5_0_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1_f32", mul_mat_vec_q5_1_f32_fp32_len, mul_mat_vec_q5_1_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0_f32", mul_mat_vec_q8_0_f32_fp32_len, mul_mat_vec_q8_0_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K_f32", mul_mat_vec_q2_K_f32_fp32_len, mul_mat_vec_q2_K_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K_f32", mul_mat_vec_q3_K_f32_fp32_len, mul_mat_vec_q3_K_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K_f32", mul_mat_vec_q4_K_f32_fp32_len, mul_mat_vec_q4_K_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K_f32", mul_mat_vec_q5_K_f32_fp32_len, mul_mat_vec_q5_K_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K_f32", mul_mat_vec_q6_K_f32_fp32_len, mul_mat_vec_q6_K_f32_fp32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - // get_rows vk_pipeline_get_rows[GGML_TYPE_F16] = ggml_vk_create_pipeline("get_rows_f16", get_rows_f16_fp32_len, get_rows_f16_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); vk_pipeline_get_rows[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("get_rows_q4_0", get_rows_q4_0_fp32_len, get_rows_q4_0_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); @@ -866,6 +818,30 @@ static void ggml_vk_load_shaders() { vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_fp32_len, scale_f32_fp32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); } + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16", mul_mat_vec_f16_len, mul_mat_vec_f16_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0", mul_mat_vec_q4_0_len, mul_mat_vec_q4_0_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1", mul_mat_vec_q4_1_len, mul_mat_vec_q4_1_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0", mul_mat_vec_q5_0_len, mul_mat_vec_q5_0_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1", mul_mat_vec_q5_1_len, mul_mat_vec_q5_1_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0", mul_mat_vec_q8_0_len, mul_mat_vec_q8_0_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K", mul_mat_vec_q2_K_len, mul_mat_vec_q2_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K", mul_mat_vec_q3_K_len, mul_mat_vec_q3_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K", mul_mat_vec_q4_K_len, mul_mat_vec_q4_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K", mul_mat_vec_q5_K_len, mul_mat_vec_q5_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K", mul_mat_vec_q6_K_len, mul_mat_vec_q6_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16_f32", mul_mat_vec_f16_f32_len, mul_mat_vec_f16_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0_f32", mul_mat_vec_q4_0_f32_len, mul_mat_vec_q4_0_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1_f32", mul_mat_vec_q4_1_f32_len, mul_mat_vec_q4_1_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0_f32", mul_mat_vec_q5_0_f32_len, mul_mat_vec_q5_0_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1_f32", mul_mat_vec_q5_1_f32_len, mul_mat_vec_q5_1_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0_f32", mul_mat_vec_q8_0_f32_len, mul_mat_vec_q8_0_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K_f32", mul_mat_vec_q2_K_f32_len, mul_mat_vec_q2_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K_f32", mul_mat_vec_q3_K_f32_len, mul_mat_vec_q3_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K_f32", mul_mat_vec_q4_K_f32_len, mul_mat_vec_q4_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K_f32", mul_mat_vec_q5_K_f32_len, mul_mat_vec_q5_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K_f32", mul_mat_vec_q6_K_f32_len, mul_mat_vec_q6_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_rms_norm_f32 = ggml_vk_create_pipeline("rms_norm_f32", rms_norm_f32_len, rms_norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1); } @@ -2585,8 +2561,8 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ #endif node->extra = nullptr; - const bool src0_gpu = node->src[0] != nullptr && node->src[0]->ne[1] > 32 && node->src[0]->extra != nullptr && node->src[0]->backend == GGML_BACKEND_CPU; - const bool src1_gpu = node->src[1] != nullptr && node->src[1]->ne[1] > 32 && node->src[1]->extra != nullptr && node->src[1]->backend == GGML_BACKEND_CPU; + const bool src0_gpu = false; // node->src[0] != nullptr && node->src[0]->ne[1] > 32 && node->src[0]->extra != nullptr && node->src[0]->backend == GGML_BACKEND_CPU; + const bool src1_gpu = false; // node->src[1] != nullptr && node->src[1]->ne[1] > 32 && node->src[1]->extra != nullptr && node->src[1]->backend == GGML_BACKEND_CPU; const bool any_on_device = node->backend == GGML_BACKEND_GPU || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT || src0_gpu)) diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index ec1fd55f311b1..e474d9537d12e 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -1653,39 +1653,6 @@ async def main(): tasks.append(string_to_spv(f"dequant_{type_names[i]}", "".join(stream), {"D_TYPE": "float16_t"}, fp16)) - # mul mat vec - for i in range(0, VK_NUM_TYPES): - stream.clear() - stream.extend((mul_mat_vec_head, shader_int8_ext, shader_float_type)) - - if i == GGML_TYPE_F16: - stream.extend((shader_f16_defines, shader_f16_dequant_func_compat if not fp16 else shader_f16_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q4_0: - stream.extend((shader_q4_0_defines, shader_q4_0_dequant_func_compat if not fp16 else shader_q4_0_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q4_1: - stream.extend((shader_q4_1_defines, shader_q4_1_dequant_func_compat if not fp16 else shader_q4_1_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q5_0: - stream.extend((shader_q5_0_defines, shader_q5_0_dequant_func_compat if not fp16 else shader_q5_0_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q5_1: - stream.extend((shader_q5_1_defines, shader_q5_1_dequant_func_compat if not fp16 else shader_q5_1_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q8_0: - stream.extend((shader_q8_0_defines, shader_q8_0_dequant_func_compat if not fp16 else shader_q8_0_dequant_func, mul_mat_vec_body)) - elif i == GGML_TYPE_Q2_K: - stream.extend((shader_q2_K_defines, mul_mat_vec_q2_K_body)) - elif i == GGML_TYPE_Q3_K: - stream.extend((shader_q3_K_defines, mul_mat_vec_q3_K_body)) - elif i == GGML_TYPE_Q4_K: - stream.extend((shader_q4_K_defines, mul_mat_vec_q4_K_body)) - elif i == GGML_TYPE_Q5_K: - stream.extend((shader_q5_K_defines, mul_mat_vec_q5_K_body)) - elif i == GGML_TYPE_Q6_K: - stream.extend((shader_q6_K_defines, mul_mat_vec_q6_K_body)) - else: - continue - - tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float16_t", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) - tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) - # get_rows for i in range(0, VK_NUM_TYPES): stream.clear() @@ -1722,6 +1689,41 @@ async def main(): tasks.append(string_to_spv("scale_f32", f"{generic_head}\n{shader_float_type}\n{scale_body}", {"A_TYPE": "float", "D_TYPE": "float"}, fp16)) # Shaders where precision is needed, so no fp16 version + + # mul mat vec + for i in range(0, VK_NUM_TYPES): + stream.clear() + stream.extend((mul_mat_vec_head, shader_int8_ext, shader_f32)) + + if i == GGML_TYPE_F16: + stream.extend((shader_f16_defines, shader_f16_dequant_func_compat, mul_mat_vec_body)) + elif i == GGML_TYPE_Q4_0: + stream.extend((shader_q4_0_defines, shader_q4_0_dequant_func_compat, mul_mat_vec_body)) + elif i == GGML_TYPE_Q4_1: + stream.extend((shader_q4_1_defines, shader_q4_1_dequant_func_compat, mul_mat_vec_body)) + elif i == GGML_TYPE_Q5_0: + stream.extend((shader_q5_0_defines, shader_q5_0_dequant_func_compat, mul_mat_vec_body)) + elif i == GGML_TYPE_Q5_1: + stream.extend((shader_q5_1_defines, shader_q5_1_dequant_func_compat, mul_mat_vec_body)) + elif i == GGML_TYPE_Q8_0: + stream.extend((shader_q8_0_defines, shader_q8_0_dequant_func_compat, mul_mat_vec_body)) + elif i == GGML_TYPE_Q2_K: + stream.extend((shader_q2_K_defines, mul_mat_vec_q2_K_body)) + elif i == GGML_TYPE_Q3_K: + stream.extend((shader_q3_K_defines, mul_mat_vec_q3_K_body)) + elif i == GGML_TYPE_Q4_K: + stream.extend((shader_q4_K_defines, mul_mat_vec_q4_K_body)) + elif i == GGML_TYPE_Q5_K: + stream.extend((shader_q5_K_defines, mul_mat_vec_q5_K_body)) + elif i == GGML_TYPE_Q6_K: + stream.extend((shader_q6_K_defines, mul_mat_vec_q6_K_body)) + else: + continue + + tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float16_t", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) + tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) + + # RMS Norm tasks.append(string_to_spv("rms_norm_f32", f"{generic_head}\n{shader_f32}\n{rms_norm_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) await asyncio.gather(*tasks) From 471a1b009d6dcb1a9856c84ad95c4eab3d06a4a1 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 18 Nov 2023 22:17:42 +0100 Subject: [PATCH 109/142] Fix issues with older Vulkan headers on Ubuntu 22.04 --- ggml-vulkan.cpp | 39 +++++++++++++++++++++++++++------------ 1 file changed, 27 insertions(+), 12 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 67acf2237f9a7..2eb349cc3cd22 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -56,6 +56,16 @@ static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUANTS_PER_ITERATION must be 1 or 2"); #endif +#define VK_CHECK(err, msg) \ + do { \ + vk::Result err_ = (err); \ + if (err_ != vk::Result::eSuccess) { \ + fprintf(stderr, "ggml_vulkan: %s error %d at %s:%d\n", \ + #err, err_, __FILE__, __LINE__); \ + exit(1); \ + } \ + } while (0) + typedef void (*ggml_vk_func_t)(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst); struct vk_buffer { @@ -436,7 +446,7 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: }); tl_submit_infos[idx].sType = vk::StructureType::eTimelineSemaphoreSubmitInfo; tl_submit_infos[idx].pNext = nullptr; - submit_infos.push_back({ + vk::SubmitInfo si{ (uint32_t) submission.wait_semaphores.size(), tl_wait_semaphores[idx].data(), stage_flags[idx].data(), @@ -444,8 +454,9 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: &submission.buffer, (uint32_t) submission.signal_semaphores.size(), tl_signal_semaphores[idx].data(), - &tl_submit_infos[idx], - }); + }; + si.setPNext(&tl_submit_infos[idx]); + submit_infos.push_back(si); } } @@ -519,8 +530,10 @@ static vk_semaphore * ggml_vk_create_binary_semaphore() { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_timeline_semaphore()" << std::endl; #endif - vk::SemaphoreTypeCreateInfo info{ vk::SemaphoreType::eBinary, 0 }; - vk::Semaphore semaphore = vk_device.device.createSemaphore(vk::SemaphoreCreateInfo{ {}, &info }); + vk::SemaphoreTypeCreateInfo tci{ vk::SemaphoreType::eBinary, 0 }; + vk::SemaphoreCreateInfo ci{}; + ci.setPNext(&tci); + vk::Semaphore semaphore = vk_device.device.createSemaphore(ci); vk_gc.semaphores.push_back({ semaphore, 0 }); return &vk_gc.semaphores[vk_gc.semaphores.size() - 1]; } @@ -530,8 +543,10 @@ static vk_semaphore * ggml_vk_create_timeline_semaphore() { std::cerr << "ggml_vk_create_timeline_semaphore()" << std::endl; #endif if (vk_semaphore_idx >= vk_gc.tl_semaphores.size()) { - vk::SemaphoreTypeCreateInfo info{ vk::SemaphoreType::eTimeline, 0 }; - vk::Semaphore semaphore = vk_device.device.createSemaphore(vk::SemaphoreCreateInfo{ {}, &info }); + vk::SemaphoreTypeCreateInfo tci{ vk::SemaphoreType::eTimeline, 0 }; + vk::SemaphoreCreateInfo ci{}; + ci.setPNext(&tci); + vk::Semaphore semaphore = vk_device.device.createSemaphore(ci); vk_gc.tl_semaphores.push_back({ semaphore, 0 }); return &vk_gc.tl_semaphores[vk_semaphore_idx++]; } @@ -941,7 +956,7 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; VkPhysicalDeviceFeatures2 device_features2; device_features2.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_FEATURES_2; device_features2.pNext = nullptr; - device_features2.features = device_features; + device_features2.features = (VkPhysicalDeviceFeatures)device_features; VkPhysicalDeviceVulkan11Features vk11_features; vk11_features.pNext = nullptr; @@ -1405,7 +1420,7 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * vk::Fence fence = vk_device.device.createFence({}); std::vector s = { ggml_vk_buffer_write_2d_async(dst, offset, src, spitch, width, height, q, {}, {}, nullptr) }; ggml_vk_submit(q, s, fence); - vk::resultCheck(vk_device.device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_write_2d waitForFences"); + VK_CHECK(vk_device.device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_write_2d waitForFences"); } } @@ -1509,7 +1524,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ vkCmdCopyBuffer(s[0][0].buffer, src->buffer, buf->buffer, 1, &buf_copy); s[0][0].buffer.end(); ggml_vk_submit(q, s, fence); - vk::resultCheck(vk_device.device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read waitForFences"); + VK_CHECK(vk_device.device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read waitForFences"); return; } @@ -1538,7 +1553,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ 1, &cmd_buffer); q.queue.submit({ submit_info }, fence); - vk::resultCheck(vk_device.device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read staging waitForFences"); + VK_CHECK(vk_device.device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_read staging waitForFences"); vk_device.device.destroyFence(fence); memcpy(dst, src->sb_read->ptr, size); } @@ -2824,7 +2839,7 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) ggml_vk_submit(vk_device.transfer_queues[1], extra->out_seqs, vk_fence); } - vk::resultCheck(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "ggml_vk_compute_forward waitForFences"); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "ggml_vk_compute_forward waitForFences"); vk_device.device.resetFences({ vk_fence }); return true; From d9ca45638f9aaa84fcdb0f97ac5877111e084820 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 19 Nov 2023 09:39:46 +0100 Subject: [PATCH 110/142] Allow multi-op partial offloading by parsing the graph to preallocate enough between-op buffers --- ggml-vulkan.cpp | 170 ++++++++++++++++++++++++++++++------------------ ggml-vulkan.h | 2 +- llama.cpp | 2 +- 3 files changed, 108 insertions(+), 66 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 2eb349cc3cd22..08bb8262370da 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -156,12 +156,15 @@ struct ggml_vk_tensor_extra_gpu { std::vector comp_seqs; std::vector out_seqs; + int d_idx; + size_t tensor_size; vk_buffer * gpu_buffer; }; struct ggml_vk_garbage_collector { std::vector pipelines; + std::vector gpu_tensors; std::vector extras; std::vector tl_semaphores; std::vector semaphores; @@ -189,8 +192,11 @@ vk_pipeline vk_pipeline_rms_norm_f32; static size_t vk_semaphore_idx; static ggml_vk_garbage_collector vk_gc; static std::vector> vk_pinned_memory; -static size_t vk_prealloc_size_d, vk_prealloc_size_qx, vk_prealloc_size_qy, vk_prealloc_size_x, vk_prealloc_size_y; -static vk_buffer vk_prealloc_d, vk_prealloc_qx, vk_prealloc_qy, vk_prealloc_x, vk_prealloc_y; +static size_t vk_prealloc_size_qx, vk_prealloc_size_qy, vk_prealloc_size_x, vk_prealloc_size_y; +static std::vector vk_prealloc_d_sizes; +static std::vector vk_prealloc_d_blocked; +static vk_buffer vk_prealloc_qx, vk_prealloc_qy, vk_prealloc_x, vk_prealloc_y; +static std::vector vk_prealloc_d_buffers; static vk::Fence vk_fence; static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_size, const void* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { @@ -1752,12 +1758,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr GGML_ASSERT(extra->comp_seqs.empty()); - vk_buffer* d_D; - if (dst->backend == GGML_BACKEND_GPU) { - d_D = (vk_buffer *) dst->data; - } else { - d_D = &vk_prealloc_d; - } + vk_buffer* d_D = &vk_prealloc_d_buffers[extra->d_idx]; vk_buffer* d_X; vk_buffer* d_Y; if (load_x) { @@ -1882,12 +1883,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * GGML_ASSERT(extra->comp_seqs.empty()); - vk_buffer* d_D; - if (dst->backend == GGML_BACKEND_GPU) { - d_D = (vk_buffer *) dst->data; - } else { - d_D = &vk_prealloc_d; - } + vk_buffer* d_D = &vk_prealloc_d_buffers[extra->d_idx]; GGML_ASSERT(d_D->size >= d_sz * ne02 * ne03); vk_buffer* d_Qx; vk_buffer* d_Qy; @@ -2064,12 +2060,7 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso GGML_ASSERT(extra->comp_seqs.empty()); - vk_buffer* d_D; - if (dst->backend == GGML_BACKEND_GPU) { - d_D = (vk_buffer *) dst->data; - } else { - d_D = &vk_prealloc_d; - } + vk_buffer* d_D = &vk_prealloc_d_buffers[extra->d_idx]; vk_buffer* d_Qx; vk_buffer* d_Qy; vk_buffer* d_Y; @@ -2358,12 +2349,7 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g GGML_ASSERT(extra->comp_seqs.empty()); - vk_buffer* d_D; - if (dst->backend == GGML_BACKEND_GPU) { - d_D = (vk_buffer *) dst->data; - } else { - d_D = &vk_prealloc_d; - } + vk_buffer* d_D = &vk_prealloc_d_buffers[extra->d_idx]; vk_buffer* d_X = nullptr; vk_buffer* d_Y = nullptr; if (transfer_src0) { @@ -2545,12 +2531,25 @@ static void ggml_vk_realign_tensor(ggml_tensor * tensor) { static ggml_vk_tensor_extra_gpu * ggml_vk_preallocate_buffers(uint32_t d_size, uint32_t qx_size, uint32_t qy_size, uint32_t x_size, uint32_t y_size) { ggml_vk_tensor_extra_gpu * extra = new ggml_vk_tensor_extra_gpu; + extra->d_idx = -1; extra->tensor_size = d_size; extra->gpu_buffer = nullptr; // Check if buffer already exists, increase size if required - if (vk_prealloc_size_d < d_size) { - vk_prealloc_size_d = d_size; + for (size_t i = 0; i < vk_prealloc_d_sizes.size(); i++) { + if (!vk_prealloc_d_blocked[i]) { + extra->d_idx = i; + if (vk_prealloc_d_sizes[i] < d_size) { + vk_prealloc_d_sizes[i] = d_size; + } + break; + } + } + if (extra->d_idx == -1) { + vk_prealloc_d_sizes.push_back(d_size); + vk_prealloc_d_blocked.push_back(nullptr); + vk_prealloc_d_buffers.emplace_back(); + extra->d_idx = vk_prealloc_d_buffers.size() - 1; } if (vk_prealloc_size_qx < qx_size) { vk_prealloc_size_qx = qx_size; @@ -2570,14 +2569,26 @@ static ggml_vk_tensor_extra_gpu * ggml_vk_preallocate_buffers(uint32_t d_size, u return extra; } -void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ +static ggml_tensor * ggml_vk_find_last_use(ggml_tensor * node, ggml_cgraph * graph) { + for (int i = graph->n_nodes - 1; i >= 0; i--) { + for (int j = 0; j < GGML_MAX_SRC; j++) { + if (graph->nodes[i]->src[j] == node) { + return graph->nodes[i]; + } + } + } + + GGML_ASSERT(false); +} + +void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ #ifdef VK_DEBUG std::cerr << "ggml_vk_preallocate_buffers_graph(" << node << ")" << std::endl; #endif node->extra = nullptr; - const bool src0_gpu = false; // node->src[0] != nullptr && node->src[0]->ne[1] > 32 && node->src[0]->extra != nullptr && node->src[0]->backend == GGML_BACKEND_CPU; - const bool src1_gpu = false; // node->src[1] != nullptr && node->src[1]->ne[1] > 32 && node->src[1]->extra != nullptr && node->src[1]->backend == GGML_BACKEND_CPU; + const bool src0_gpu = node->src[0] != nullptr && node->src[0]->ne[1] > 32 && node->src[0]->extra != nullptr && node->src[0]->backend == GGML_BACKEND_CPU; + const bool src1_gpu = node->src[1] != nullptr && node->src[1]->ne[1] > 32 && node->src[1]->extra != nullptr && node->src[1]->backend == GGML_BACKEND_CPU; const bool any_on_device = node->backend == GGML_BACKEND_GPU || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT || src0_gpu)) @@ -2631,6 +2642,44 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ const uint32_t y_sz = use_src1 ? ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne12 * ne13 : 0; const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne22 * ne23; + // Block buffers for reuse early + switch (node->op) { + case GGML_OP_REPEAT: + case GGML_OP_GET_ROWS: + case GGML_OP_ADD: + case GGML_OP_SCALE: + case GGML_OP_MUL: + case GGML_OP_RMS_NORM: + case GGML_OP_MUL_MAT: + if (node->op == GGML_OP_MUL_MAT && !any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { + return; + } + + // Reuse GPU buffer if previous op is also on GPU + if (src0_gpu) { + src0->backend = GGML_BACKEND_GPU; + ggml_vk_tensor_extra_gpu * src0_extra = (ggml_vk_tensor_extra_gpu *) src0->extra; + + // Replace with data GPU tensor + vk_prealloc_d_blocked[src0_extra->d_idx] = ggml_vk_find_last_use(src0, graph); + + // Handle buffer offset alignment issues in 2nd and 3rd dimensions early by changing stride + ggml_vk_realign_tensor(src0); + } + if (src1_gpu) { + src1->backend = GGML_BACKEND_GPU; + ggml_vk_tensor_extra_gpu * src1_extra = (ggml_vk_tensor_extra_gpu *) src1->extra; + + // Replace with data GPU tensor + vk_prealloc_d_blocked[src1_extra->d_idx] = ggml_vk_find_last_use(src1, graph); + + ggml_vk_realign_tensor(src1); + } + + default: + break; + } + switch (node->op) { case GGML_OP_REPEAT: node->extra = ggml_vk_preallocate_buffers(d_sz, qx_sz, 0, 0, 0); @@ -2645,47 +2694,29 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ node->extra = ggml_vk_preallocate_buffers(d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, 0, 0); break; case GGML_OP_MUL_MAT: - if (!any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { - return; - } - node->extra = ggml_vk_preallocate_buffers(d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, qx_needs_dequant ? x_sz : 0, qy_needs_dequant ? y_sz : 0); break; default: return; } - // Reuse GPU buffer if previous op is also on GPU - if (src0_gpu) { - src0->backend = GGML_BACKEND_GPU; - ggml_vk_tensor_extra_gpu * src0_extra = (ggml_vk_tensor_extra_gpu *) src0->extra; - - // Replace with data GPU tensor - src0->data = malloc(sizeof(vk_buffer)); - ggml_vk_pool_malloc(src0_extra->tensor_size, (vk_buffer *)src0->data, vk::MemoryPropertyFlagBits::eDeviceLocal); - - // Handle buffer offset alignment issues in 2nd and 3rd dimensions early by changing stride - ggml_vk_realign_tensor(src0); - } - if (src1_gpu) { - src1->backend = GGML_BACKEND_GPU; - ggml_vk_tensor_extra_gpu * src1_extra = (ggml_vk_tensor_extra_gpu *) src1->extra; - - // Replace with data GPU tensor - src1->data = malloc(sizeof(vk_buffer)); - ggml_vk_pool_malloc(src1_extra->tensor_size, (vk_buffer *)src1->data, vk::MemoryPropertyFlagBits::eDeviceLocal); - - ggml_vk_realign_tensor(src1); + // Unblock buffers if they terminate at current node + for (size_t i = 0; i < vk_prealloc_d_blocked.size(); i++) { + if (vk_prealloc_d_blocked[i] == node) { + vk_prealloc_d_blocked[i] = nullptr; + } } } void ggml_vk_preallocate_buffers() { - if (vk_prealloc_d.size < vk_prealloc_size_d) { - // Resize buffer - if (vk_prealloc_d.size > 0) { - ggml_vk_destroy_buffer(vk_prealloc_d); + for (size_t i = 0; i < vk_prealloc_d_sizes.size(); i++) { + if (vk_prealloc_d_buffers[i].size < vk_prealloc_d_sizes[i]) { + // Resize buffer + if (vk_prealloc_d_buffers[i].size > 0) { + ggml_vk_destroy_buffer(vk_prealloc_d_buffers[i]); + } + vk_prealloc_d_buffers[i] = ggml_vk_create_buffer(vk_prealloc_d_sizes[i], vk::MemoryPropertyFlagBits::eDeviceLocal); } - vk_prealloc_d = ggml_vk_create_buffer(vk_prealloc_size_d, vk::MemoryPropertyFlagBits::eDeviceLocal); } if (vk_prealloc_qx.size < vk_prealloc_size_qx) { // Resize buffer @@ -2772,6 +2803,15 @@ void ggml_vk_build_graph(ggml_tensor * node){ } return; } + + // Set data to vk_buffer if backend is GPU + // This can't be done earlier cause the buffer may not exist yet + if (node->backend == GGML_BACKEND_GPU) { + node->data = malloc(sizeof(vk_buffer)); + *(vk_buffer*) node->data = vk_prealloc_d_buffers[((ggml_vk_tensor_extra_gpu *) node->extra)->d_idx]; + + vk_gc.gpu_tensors.push_back(node); + } } bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor){ @@ -2869,12 +2909,14 @@ void ggml_vk_graph_cleanup() { vk_gc.tl_semaphores.clear(); for (auto * extra : vk_gc.extras) { - if (extra->gpu_buffer != nullptr) { - ggml_vk_pool_free(*extra->gpu_buffer); - } delete extra; } vk_gc.extras.clear(); + + for (auto * tensor : vk_gc.gpu_tensors) { + delete (vk_buffer *) tensor->data; + } + vk_gc.gpu_tensors.clear(); } #ifdef GGML_VULKAN_CHECK_RESULTS diff --git a/ggml-vulkan.h b/ggml-vulkan.h index 61648ba3e4fb8..a4ed92e5c2f40 100644 --- a/ggml-vulkan.h +++ b/ggml-vulkan.h @@ -8,7 +8,7 @@ extern "C" { void ggml_vk_init(void); -void ggml_vk_preallocate_buffers_graph(struct ggml_tensor * node); +void ggml_vk_preallocate_buffers_graph(struct ggml_tensor * node, struct ggml_cgraph * graph); void ggml_vk_preallocate_buffers(void); void ggml_vk_build_graph(struct ggml_tensor * node); bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor); diff --git a/llama.cpp b/llama.cpp index d6ba620c4003c..3fcc2da91cc6f 100644 --- a/llama.cpp +++ b/llama.cpp @@ -674,7 +674,7 @@ static void ggml_graph_compute_helper(std::vector & buf, ggml_cgraph * #ifdef GGML_USE_VULKAN for (int i = 0; i < graph->n_nodes; i++) { - ggml_vk_preallocate_buffers_graph(graph->nodes[i]); + ggml_vk_preallocate_buffers_graph(graph->nodes[i], graph); } ggml_vk_preallocate_buffers(); From fc63f88800e9fac13a0ad740374932a88feaab7f Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 26 Nov 2023 10:09:53 +0100 Subject: [PATCH 111/142] Implement further ops, rework op_f32 calls, fix bugs --- ggml-vulkan.cpp | 828 +++++++++++++++++++++++++++--------- ggml_vk_generate_shaders.py | 236 ++++++---- 2 files changed, 783 insertions(+), 281 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 08bb8262370da..96cd58cdac7a8 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -21,7 +21,6 @@ #include #include -#include #include #include #include @@ -60,8 +59,8 @@ static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUA do { \ vk::Result err_ = (err); \ if (err_ != vk::Result::eSuccess) { \ - fprintf(stderr, "ggml_vulkan: %s error %d at %s:%d\n", \ - #err, err_, __FILE__, __LINE__); \ + fprintf(stderr, "ggml_vulkan: %s error %s at %s:%d\n", \ + #err, to_string(err_).c_str(), __FILE__, __LINE__); \ exit(1); \ } \ } while (0) @@ -135,9 +134,16 @@ struct vk_device { }; struct vk_op_push_constants { - int M; - int N; - float param; + uint32_t KX; + uint32_t KY; + float param1; + float param2; +}; + +struct vk_op_cpy_push_constants { + uint32_t ne; + uint32_t ne00; uint32_t ne01; uint32_t nb00; uint32_t nb01; uint32_t nb02; + uint32_t ne10; uint32_t ne11; uint32_t nb10; uint32_t nb11; uint32_t nb12; }; // Allow pre-recording command buffers @@ -159,7 +165,6 @@ struct ggml_vk_tensor_extra_gpu { int d_idx; size_t tensor_size; - vk_buffer * gpu_buffer; }; struct ggml_vk_garbage_collector { @@ -185,20 +190,30 @@ vk_pipeline vk_pipeline_dequant_mul_mat_vec_f32[VK_NUM_TYPES]; vk_pipeline vk_pipeline_get_rows[VK_NUM_TYPES]; vk_pipeline vk_pipeline_get_rows_f32[VK_NUM_TYPES]; vk_pipeline vk_pipeline_mul_f32; -vk_pipeline vk_pipeline_add_f32, vk_pipeline_add_f16_f32_f16; +vk_pipeline vk_pipeline_add_f32; vk_pipeline vk_pipeline_scale_f32; +vk_pipeline vk_pipeline_sqr_f32; +vk_pipeline vk_pipeline_clamp_f32; +vk_pipeline vk_pipeline_cpy_f32_f32; +vk_pipeline vk_pipeline_cpy_f32_f16; +vk_pipeline vk_pipeline_norm_f32; vk_pipeline vk_pipeline_rms_norm_f32; static size_t vk_semaphore_idx; static ggml_vk_garbage_collector vk_gc; static std::vector> vk_pinned_memory; -static size_t vk_prealloc_size_qx, vk_prealloc_size_qy, vk_prealloc_size_x, vk_prealloc_size_y; +static size_t vk_prealloc_size_qx, vk_prealloc_size_qy, vk_prealloc_size_x, vk_prealloc_size_y, vk_prealloc_size_split_k; static std::vector vk_prealloc_d_sizes; static std::vector vk_prealloc_d_blocked; -static vk_buffer vk_prealloc_qx, vk_prealloc_qy, vk_prealloc_x, vk_prealloc_y; +static vk_buffer vk_prealloc_qx, vk_prealloc_qy, vk_prealloc_x, vk_prealloc_y, vk_prealloc_split_k; static std::vector vk_prealloc_d_buffers; static vk::Fence vk_fence; +#ifdef GGML_VULKAN_CHECK_RESULTS + size_t vk_skip_checks; + size_t vk_output_tensor; +#endif + static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_size, const void* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_pipeline(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; @@ -734,8 +749,6 @@ static void ggml_vk_load_shaders() { vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_len, matmul_f16_f32_aligned_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_len, matmul_f16_f32_aligned_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_fp32_len, split_k_reduce_fp32_data, "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); - // Build dequant shaders vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline("f32_to_f16", f32_to_f16_len, f32_to_f16_data, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); @@ -765,15 +778,6 @@ static void ggml_vk_load_shaders() { vk_pipeline_get_rows_f32[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("get_rows_q5_0_f32", get_rows_q5_0_f32_len, get_rows_q5_0_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); vk_pipeline_get_rows_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("get_rows_q5_1_f32", get_rows_q5_1_f32_len, get_rows_q5_1_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); vk_pipeline_get_rows_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0_f32", get_rows_q8_0_f32_len, get_rows_q8_0_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - - // add - vk_pipeline_add_f32 = ggml_vk_create_pipeline("add_f32", add_f32_len, add_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline("add_f16_f32_f16", add_f16_f32_f16_len, add_f16_f32_f16_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - - // Static shaders - vk_pipeline_mul_f32 = ggml_vk_create_pipeline("mul_f32", mul_f32_len, mul_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - - vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_len, scale_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); } else { vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_fp32_len, matmul_f32_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_fp32_len, matmul_f32_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); @@ -797,8 +801,6 @@ static void ggml_vk_load_shaders() { vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_fp32_len, matmul_f16_f32_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_fp32_len, matmul_f16_f32_aligned_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_fp32_len, split_k_reduce_fp32_data, "main", 1, 3 * sizeof(int), {32, 32, 1}, {}, 1); - // Build dequant shaders vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline("f32_to_f16", f32_to_f16_fp32_len, f32_to_f16_fp32_data, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); @@ -828,15 +830,6 @@ static void ggml_vk_load_shaders() { vk_pipeline_get_rows_f32[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("get_rows_q5_0_f32", get_rows_q5_0_f32_fp32_len, get_rows_q5_0_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); vk_pipeline_get_rows_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("get_rows_q5_1_f32", get_rows_q5_1_f32_fp32_len, get_rows_q5_1_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); vk_pipeline_get_rows_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0_f32", get_rows_q8_0_f32_fp32_len, get_rows_q8_0_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - - // add - vk_pipeline_add_f32 = ggml_vk_create_pipeline("add_f32", add_f32_fp32_len, add_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - vk_pipeline_add_f16_f32_f16 = ggml_vk_create_pipeline("add_f16_f32_f16", add_f16_f32_f16_fp32_len, add_f16_f32_f16_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - - // Static shaders - vk_pipeline_mul_f32 = ggml_vk_create_pipeline("mul_f32", mul_f32_fp32_len, mul_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); - - vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_fp32_len, scale_f32_fp32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); } vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16", mul_mat_vec_f16_len, mul_mat_vec_f16_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); @@ -863,7 +856,23 @@ static void ggml_vk_load_shaders() { vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K_f32", mul_mat_vec_q5_K_f32_len, mul_mat_vec_q5_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K_f32", mul_mat_vec_q6_K_f32_len, mul_mat_vec_q6_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 3 * sizeof(int), {32, 32, 1}, {}, 1); + + vk_pipeline_norm_f32 = ggml_vk_create_pipeline("norm_f32", norm_f32_len, norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1); vk_pipeline_rms_norm_f32 = ggml_vk_create_pipeline("rms_norm_f32", rms_norm_f32_len, rms_norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1); + + vk_pipeline_cpy_f32_f32 = ggml_vk_create_pipeline("cpy_f32_f32", cpy_f32_f32_len, cpy_f32_f32_data, "main", 2, sizeof(vk_op_cpy_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_cpy_f32_f16 = ggml_vk_create_pipeline("cpy_f32_f16", cpy_f32_f16_len, cpy_f32_f16_data, "main", 2, sizeof(vk_op_cpy_push_constants), {512, 1, 1}, {}, 1); + + vk_pipeline_add_f32 = ggml_vk_create_pipeline("add_f32", add_f32_len, add_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + + vk_pipeline_mul_f32 = ggml_vk_create_pipeline("mul_f32", mul_f32_len, mul_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + + vk_pipeline_scale_f32 = ggml_vk_create_pipeline("scale_f32", scale_f32_len, scale_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + + vk_pipeline_sqr_f32 = ggml_vk_create_pipeline("sqr_f32", sqr_f32_len, sqr_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + + vk_pipeline_clamp_f32 = ggml_vk_create_pipeline("clamp_f32", clamp_f32_len, clamp_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); } void ggml_vk_test_transfer(size_t ne); @@ -891,7 +900,7 @@ void ggml_vk_init(void) { }; vk::InstanceCreateInfo instance_create_info(vk::InstanceCreateFlags(), &app_info, layers, extensions); #ifdef VK_VALIDATE - const std::vector features_enable = { vk::ValidationFeatureEnableEXT::eBestPractices, vk::ValidationFeatureEnableEXT::eSynchronizationValidation }; + const std::vector features_enable = { vk::ValidationFeatureEnableEXT::eBestPractices }; vk::ValidationFeaturesEXT validation_features = { features_enable, {}, @@ -985,6 +994,10 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; device_extensions.push_back("VK_KHR_16bit_storage"); +#ifdef VK_VALIDATE + device_extensions.push_back("VK_KHR_shader_non_semantic_info"); +#endif + if (vk_device.fp16) { std::cerr << "ggml_vulkan: 16-bit enabled" << std::endl; device_extensions.push_back("VK_KHR_shader_float16_int8"); @@ -1073,6 +1086,13 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; std::cerr << std::endl; } #endif + +#ifdef GGML_VULKAN_CHECK_RESULTS + const char* skip_checks = getenv("GGML_VULKAN_SKIP_CHECKS"); + vk_skip_checks = (skip_checks == NULL ? 0 : atoi(skip_checks)); + const char* output_tensor = getenv("GGML_VULKAN_OUTPUT_TENSOR"); + vk_output_tensor = (output_tensor == NULL ? 0 : atoi(output_tensor)); +#endif } static vk_pipeline* ggml_vk_get_to_fp16(ggml_type type) { @@ -1314,7 +1334,11 @@ static void ggml_vk_end_submission(vk_submission& s, std::vector w s.signal_semaphores = std::move(signal_semaphores); } -static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { +static size_t ggml_vk_align_size(size_t width, size_t align) { + return CEIL_DIV(width, align) * align; +} + +static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; #endif @@ -1430,11 +1454,7 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * } } -static size_t ggml_vk_align_size(size_t width, size_t align) { - return CEIL_DIV(width, align) * align; -} - -static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { +static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; #endif @@ -1448,9 +1468,9 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1, q); } -static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr) { +static vk_sequence ggml_vk_buffer_read_2d_async(vk_buffer* src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission* s = nullptr) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_buffer_read_async(" << size << ")" << std::endl; + std::cerr << "ggml_vk_buffer_read_2d_async()" << std::endl; #endif // Check if dst is pinned memory vk_buffer* buf = nullptr; @@ -1470,10 +1490,20 @@ static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void GGML_ASSERT(false); } // Memory is pinned, use as staging buffer - VkBufferCopy buf_copy = { - offset, // srcOffset - buf_offset, // dstOffset, - size}; // size + std::vector slices(1); + if (width == spitch && width == dpitch) { + // Only do single write if stride is equal + slices[0].srcOffset = offset; + slices[0].dstOffset = buf_offset; + slices[0].size = width * height; + } else { + slices.resize(height); + for (size_t i = 0; i < height; i++) { + slices[i].srcOffset = offset + i * spitch; + slices[i].dstOffset = buf_offset + i * dpitch; + slices[i].size = width; + } + } bool reuse_submission = false; vk_submission submission; @@ -1486,7 +1516,7 @@ static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); } ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*src) }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead, false); - vkCmdCopyBuffer(s->buffer, src->buffer, buf->buffer, 1, &buf_copy); + s->buffer.copyBuffer(src->buffer, buf->buffer, slices); if (reuse_submission) { s->buffer.end(); } @@ -1494,6 +1524,10 @@ static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void return { *s }; } +static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission* s = nullptr) { + return ggml_vk_buffer_read_2d_async(src, offset, dst, 0, 0, size, 1, q, std::move(wait_semaphores), std::move(signal_semaphores), s); +} + static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_read(" << size << ")" << std::endl; @@ -1565,7 +1599,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } } -static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { +static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer * dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission * s = nullptr, std::vector * pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_h2d_tensor_2d()" << std::endl; #endif @@ -1598,6 +1632,32 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer* dst, size_t offset, const st } } +static vk_sequence ggml_vk_d2h_tensor_2d(vk_buffer * src, size_t offset, const ggml_tensor * dst, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission * s = nullptr) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_d2h_tensor_2d()" << std::endl; +#endif + const uint64_t ne0 = dst->ne[0]; + const uint64_t ne1 = dst->ne[1]; + const uint64_t ne2 = dst->ne[2]; + const uint64_t ne3 = dst->ne[3]; + const uint64_t nb0 = dst->nb[0]; + const uint64_t nb1 = dst->nb[1]; + const uint64_t nb2 = dst->nb[2]; + const uint64_t nb3 = dst->nb[3]; + const enum ggml_type type = dst->type; + const size_t ts = ggml_type_size(type); + const size_t bs = ggml_blck_size(type); + const size_t row_length = ts*ne0/bs; + + if (ggml_is_contiguous(dst)) { + return ggml_vk_buffer_read_async(src, offset, dst->data, ne1*nb1*ne2*ne3, q, std::move(wait_semaphores), std::move(signal_semaphores), s); + } + if (nb0 == ts) { + return ggml_vk_buffer_read_2d_async(src, offset, dst->data, nb1, nb1, row_length, ne1*ne2*ne3, q, std::move(wait_semaphores), std::move(signal_semaphores), s); + } + GGML_ASSERT(false); +} + static int ggml_vk_guess_split_k(int m, int n, int k, bool aligned) { #ifdef VK_DEBUG std::cerr << "ggml_vk_guess_split_k(" << m << ", " << n << ", " << k << ", " << aligned << ")"; @@ -1696,20 +1756,22 @@ static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_su #endif vk_submission s = ggml_vk_begin_submission(q); ggml_vk_sync_buffers(s.buffer, { a, b }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); if (split_k == 1) { + ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); const std::vector pc = { m, n, k, stride_a, stride_b, stride_d, k }; ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc.size() * sizeof(int), pc.data(), { (uint32_t)m, (uint32_t)n, 1 }); ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); return { s }; } + vk_subbuffer split_k_buffer = ggml_vk_subbuffer(vk_prealloc_split_k); + ggml_vk_sync_buffers(s.buffer, { split_k_buffer }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); // Synchronize the two submissions const std::vector pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k) }; - ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc1.size() * sizeof(int), pc1.data(), { (uint32_t)m * split_k, (uint32_t)n, 1 }); + ggml_vk_dispatch_pipeline(s, pipeline, { a, b, split_k_buffer }, pc1.size() * sizeof(int), pc1.data(), { (uint32_t)m * split_k, (uint32_t)n, 1 }); ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, true); const std::vector pc2 = { m, n, split_k }; - ggml_vk_dispatch_pipeline(s, vk_pipeline_matmul_split_k_reduce, { d }, pc2.size() * sizeof(int), pc2.data(), { (uint32_t)m, (uint32_t)n, 1 }); + ggml_vk_dispatch_pipeline(s, vk_pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(int), pc2.data(), { (uint32_t)m, (uint32_t)n, 1 }); ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); return { s }; @@ -1752,7 +1814,7 @@ static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * sr const uint32_t x_sz = ggml_vk_align_size(sizeof(float) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t y_sz = ggml_vk_align_size(sizeof(float) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; @@ -1870,7 +1932,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const uint32_t qy_sz = ggml_vk_align_size(ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t x_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t y_sz = ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); if (dst->backend == GGML_BACKEND_GPU) { if (d_sz != nb2) { @@ -2248,9 +2310,6 @@ static vk_pipeline* ggml_vk_op_get_pipeline(const ggml_tensor * src0, const ggml if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { return &vk_pipeline_add_f32; } - if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F16) { - return &vk_pipeline_add_f16_f32_f16; - } return nullptr; case GGML_OP_GET_ROWS: GGML_ASSERT(src1->type == GGML_TYPE_I32); @@ -2271,6 +2330,31 @@ static vk_pipeline* ggml_vk_op_get_pipeline(const ggml_tensor * src0, const ggml return &vk_pipeline_scale_f32; } return nullptr; + case GGML_OP_SQR: + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_sqr_f32; + } + return nullptr; + case GGML_OP_CLAMP: + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_clamp_f32; + } + return nullptr; + case GGML_OP_CPY: + case GGML_OP_CONT: + case GGML_OP_DUP: + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_cpy_f32_f32; + } + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F16) { + return &vk_pipeline_cpy_f32_f16; + } + return nullptr; + case GGML_OP_NORM: + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_norm_f32; + } + return nullptr; case GGML_OP_RMS_NORM: if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { return &vk_pipeline_rms_norm_f32; @@ -2297,7 +2381,12 @@ static bool ggml_vk_dim01_contiguous(const ggml_tensor * tensor) { tensor->nb[3] == tensor->nb[2]*tensor->ne[2]; } -static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, float param=1.0f) { +#ifdef GGML_VULKAN_CHECK_RESULTS +void ggml_vk_print_tensor(const ggml_tensor * tensor, const char * name); +#endif + +template +static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, const PC&& pc) { #ifdef VK_DEBUG std::cerr << "ggml_vk_op_f32((" << src0 << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; if (src1 != nullptr) { @@ -2306,7 +2395,7 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g std::cerr << "), (" << dst << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "), " << ggml_op_name(op) << ")" << std::endl; #endif GGML_ASSERT(!ggml_is_quantized(src0->type) && (src1 == nullptr || !ggml_is_quantized(src1->type))); // NOLINT - GGML_ASSERT(ggml_vk_dim01_contiguous(src0)); + GGML_ASSERT(op == GGML_OP_CPY || ggml_vk_dim01_contiguous(src0)); // NOLINT GGML_ASSERT(src1 == nullptr || ggml_vk_dim01_contiguous(src1)); // NOLINT GGML_ASSERT(dst->extra != nullptr); const int64_t ne00 = src0->ne[0]; @@ -2332,7 +2421,14 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g if (pipeline == nullptr) { op_func = ggml_vk_op_get_func(op); - GGML_ASSERT(op_func != nullptr); + if (op_func == nullptr) { + std::cerr << "ggml_vulkan: Error: Missing op: " << ggml_op_name(op) << " for " << ggml_type_name(src0->type); + if (src1 != nullptr) { + std::cerr << " and " << ggml_type_name(src1->type); + } + std::cerr << " to " << ggml_type_name(dst->type) << std::endl; + GGML_ASSERT(false); + } op_func(src0, src1, dst); return; @@ -2343,7 +2439,11 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g const uint32_t x_sz = ggml_vk_align_size(ggml_type_size(src0->type) * ne0, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint32_t y_sz = use_src1 ? ggml_vk_align_size(ggml_type_size(src1->type) * ne1, vk_device.properties.limits.minStorageBufferOffsetAlignment) : 0; - const uint32_t d_sz = ggml_vk_align_size(ggml_type_size(dst->type) * ne0, vk_device.properties.limits.minStorageBufferOffsetAlignment); + uint32_t d_sz = ggml_vk_align_size(ggml_type_size(dst->type) * ne0, vk_device.properties.limits.minStorageBufferOffsetAlignment); + + if (op == GGML_OP_CPY) { + d_sz = dst->ne[1] * dst->nb[1]; + } ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; @@ -2363,7 +2463,6 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g d_Y = (vk_buffer *) src1->data; } - vk_op_push_constants pc; std::array elements; std::vector transfer_semaphores; @@ -2382,16 +2481,15 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g } // Single call if dimension 2 is contiguous - if (ggml_is_contiguous(src0) && (src1 == nullptr || ggml_is_contiguous(src1))) { + if (op == GGML_OP_CPY || ggml_is_contiguous(src0) && (src1 == nullptr || ggml_is_contiguous(src1))) { ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, 1); switch (dst->op) { + case GGML_OP_NORM: case GGML_OP_RMS_NORM: - pc = { (int)src0->ne[0], (int)src0->ne[1], param }; elements = { (uint32_t)ggml_nrows(src0), 1, 1 }; break; default: - pc = { (int)ggml_nelements(src0), (int)(src1 != nullptr ? ggml_nelements(src1) : 0), param }; elements = { (uint32_t)ggml_nelements(src0), 1, 1 }; break; } @@ -2400,19 +2498,26 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); if (use_src1) { ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_X), ggml_vk_subbuffer(*d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { ggml_vk_subbuffer(*d_X), ggml_vk_subbuffer(*d_Y), ggml_vk_subbuffer(*d_D) }, sizeof(vk_op_push_constants), &pc, elements); + ggml_vk_dispatch_pipeline(s, *pipeline, { ggml_vk_subbuffer(*d_X), ggml_vk_subbuffer(*d_Y), ggml_vk_subbuffer(*d_D) }, sizeof(PC), &pc, elements); } else { ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_X) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { ggml_vk_subbuffer(*d_X), ggml_vk_subbuffer(*d_D) }, sizeof(vk_op_push_constants), &pc, elements); + ggml_vk_dispatch_pipeline(s, *pipeline, { ggml_vk_subbuffer(*d_X), ggml_vk_subbuffer(*d_D) }, sizeof(PC), &pc, elements); } - if (dst->backend == GGML_BACKEND_CPU) { + if (dst->backend == GGML_BACKEND_CPU && op == GGML_OP_CPY) { + vk_semaphore * fsem = ggml_vk_create_binary_semaphore(); + ggml_vk_end_submission(s, std::move(transfer_semaphores), { *fsem }); + extra->comp_seqs.push_back({ s }); + + // copy dst to host + extra->out_seqs.push_back(ggml_vk_d2h_tensor_2d(d_D, 0, dst, vk_device.transfer_queues[1], { *fsem }, {})); + } else if(dst->backend == GGML_BACKEND_CPU) { vk_semaphore * fsem = ggml_vk_create_binary_semaphore(); ggml_vk_end_submission(s, std::move(transfer_semaphores), { *fsem }); extra->comp_seqs.push_back({ s }); // copy dst to host float * d = (float *) dst->data; - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, d, sizeof(float) * ggml_nelements(src0), vk_device.transfer_queues[1], { *fsem }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, d, d_sz * ne02 * ne03, vk_device.transfer_queues[1], { *fsem }, {})); } else { ggml_vk_end_submission(s, std::move(transfer_semaphores), {}); extra->comp_seqs.push_back({ s }); @@ -2421,12 +2526,11 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); switch (dst->op) { + case GGML_OP_NORM: case GGML_OP_RMS_NORM: - pc = { (int)src0->ne[0], (int)src0->ne[1], param }; elements = { (uint32_t)ne01, 1, 1 }; break; default: - pc = { (int)ne0, (int)(src1 != nullptr ? ne1 : 0), param }; elements = { (uint32_t)ne0, 1, 1 }; break; } @@ -2443,10 +2547,10 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g ggml_vk_sync_buffers(s.buffer, { { *d_D, d_offset, d_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); if (use_src1) { ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, elements); + ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz } }, sizeof(PC), &pc, elements); } else { ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_D, d_offset, d_sz } }, sizeof(vk_op_push_constants), &pc, elements); + ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_D, d_offset, d_sz } }, sizeof(PC), &pc, elements); } if (dst->backend == GGML_BACKEND_CPU) { vk_semaphore * fsem = ggml_vk_create_binary_semaphore(); @@ -2454,7 +2558,7 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g extra->comp_seqs.push_back({ s }); // copy dst to host - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, (char *) dst->data + i02*nb2 + i03*nb3, sizeof(float) * ne0, vk_device.transfer_queues[1], { *fsem }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, (char *) dst->data + i02*nb2 + i03*nb3, d_sz, vk_device.transfer_queues[1], { *fsem }, {})); } else { ggml_vk_end_submission(s, std::move(transfer_semaphores), {}); extra->comp_seqs.push_back({ s }); @@ -2465,27 +2569,58 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g } static void ggml_vk_repeat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_vk_op_f32(src0, src1, dst, GGML_OP_REPEAT); + ggml_vk_op_f32(src0, src1, dst, GGML_OP_REPEAT, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); } static void ggml_vk_get_rows(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_vk_op_f32(src0, src1, dst, GGML_OP_GET_ROWS); + ggml_vk_op_f32(src0, src1, dst, GGML_OP_GET_ROWS, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); } static void ggml_vk_add(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_vk_op_f32(src0, src1, dst, GGML_OP_ADD); + ggml_vk_op_f32(src0, src1, dst, GGML_OP_ADD, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); } static void ggml_vk_mul(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_vk_op_f32(src0, src1, dst, GGML_OP_MUL); + ggml_vk_op_f32(src0, src1, dst, GGML_OP_MUL, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); } static void ggml_vk_scale(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_SCALE, ((float *)src1->data)[0]); + ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_SCALE, { (uint32_t)ggml_nelements(src0), 0, ((float *)src1->data)[0], 0.0f }); +} + +static void ggml_vk_sqr(const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_SQR, { (uint32_t)ggml_nelements(src0), 0, 0.0f, 0.0f }); +} + +static void ggml_vk_clamp(const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_CLAMP, { (uint32_t)ggml_nelements(src0), 0, ((float *)dst->op_params)[0], ((float *)dst->op_params)[1] }); +} + +static void ggml_vk_cpy(const ggml_tensor * src0, ggml_tensor * dst) { + const int src0_type_size = ggml_type_size(src0->type); + const int dst_type_size = ggml_type_size(dst->type); + ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_CPY, { + (uint32_t)ggml_nelements(src0), + (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, + (uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->nb[0] / dst_type_size, (uint32_t) dst->nb[1] / dst_type_size, (uint32_t) dst->nb[2] / dst_type_size, + }); +} + +static void ggml_vk_norm(const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_NORM, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], 0.0f, 0.0f }); } static void ggml_vk_rms_norm(const ggml_tensor * src0, ggml_tensor * dst) { - ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_RMS_NORM, ((float *)src0->op_params)[0]); + ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_RMS_NORM, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], ((float *)dst->op_params)[0], 0.0f }); +} + +static void ggml_vk_nop(const ggml_tensor * src0, ggml_tensor * dst) { + // If backend is CPU, data from src0 has to be copied off the device + if (dst->backend == GGML_BACKEND_CPU) { + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; + vk_buffer * d_D = (vk_buffer *) src0->data; + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, dst->data, d_D->size, vk_device.transfer_queues[1], {}, {})); + } } void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { @@ -2518,50 +2653,69 @@ void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); } -static void ggml_vk_realign_tensor(ggml_tensor * tensor) { - // Handle split-k, which needs more space per MM - ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; +static void ggml_vk_tensor_stride_order(const ggml_tensor * tensor, std::array& order) { + order = {-1, -1, -1, -1}; + for (int i = 0; i < 4; i++){ + size_t val = std::numeric_limits::max(); + uint32_t idx; + for (int j = 0; j < 4; j++){ + if(tensor->nb[j] < val && std::find(std::begin(order), std::end(order), j) == std::end(order)) { + val = tensor->nb[j]; + idx = j; + } + } + order[i] = idx; + } +} - tensor->nb[2] = ggml_vk_align_size(std::max(extra->tensor_size / tensor->ne[3] / tensor->ne[2], tensor->nb[1]*tensor->ne[1]), vk_device.properties.limits.minStorageBufferOffsetAlignment); - for (int i = 3; i < GGML_MAX_DIMS; i++) { - tensor->nb[i] = tensor->nb[i - 1]*tensor->ne[i - 1]; +static size_t ggml_vk_tensor_size(const ggml_tensor * tensor) { + std::array order; + ggml_vk_tensor_stride_order(tensor, order); + // Handle weird stride configurations + if (tensor->nb[order[2]] == tensor->nb[order[3]] && tensor->ne[order[2]] > tensor->ne[order[3]]) { + return tensor->ne[order[2]]*tensor->nb[order[2]]; } + return tensor->ne[order[3]]*tensor->nb[order[3]]; } -static ggml_vk_tensor_extra_gpu * ggml_vk_preallocate_buffers(uint32_t d_size, uint32_t qx_size, uint32_t qy_size, uint32_t x_size, uint32_t y_size) { +static ggml_vk_tensor_extra_gpu * ggml_vk_preallocate_buffers(uint32_t d_size, uint32_t qx_size, uint32_t qy_size, uint32_t x_size, uint32_t y_size, uint32_t split_k_size) { ggml_vk_tensor_extra_gpu * extra = new ggml_vk_tensor_extra_gpu; extra->d_idx = -1; extra->tensor_size = d_size; - extra->gpu_buffer = nullptr; - // Check if buffer already exists, increase size if required - for (size_t i = 0; i < vk_prealloc_d_sizes.size(); i++) { - if (!vk_prealloc_d_blocked[i]) { - extra->d_idx = i; - if (vk_prealloc_d_sizes[i] < d_size) { - vk_prealloc_d_sizes[i] = d_size; + if (d_size > 0) { + // Check if buffer already exists, increase size if required + for (size_t i = 0; i < vk_prealloc_d_sizes.size(); i++) { + if (!vk_prealloc_d_blocked[i]) { + extra->d_idx = i; + if (vk_prealloc_d_sizes[i] < d_size) { + vk_prealloc_d_sizes[i] = d_size; + } + break; } - break; } - } - if (extra->d_idx == -1) { - vk_prealloc_d_sizes.push_back(d_size); - vk_prealloc_d_blocked.push_back(nullptr); - vk_prealloc_d_buffers.emplace_back(); - extra->d_idx = vk_prealloc_d_buffers.size() - 1; - } - if (vk_prealloc_size_qx < qx_size) { - vk_prealloc_size_qx = qx_size; - } - if (vk_prealloc_size_qy < qy_size) { - vk_prealloc_size_qy = qy_size; - } - if (vk_prealloc_size_x < x_size) { - vk_prealloc_size_x = x_size; - } - if (vk_prealloc_size_y < y_size) { - vk_prealloc_size_y = y_size; + if (extra->d_idx == -1) { + vk_prealloc_d_sizes.push_back(d_size); + vk_prealloc_d_blocked.push_back(nullptr); + vk_prealloc_d_buffers.emplace_back(); + extra->d_idx = vk_prealloc_d_buffers.size() - 1; + } + if (vk_prealloc_size_qx < qx_size) { + vk_prealloc_size_qx = qx_size; + } + if (vk_prealloc_size_qy < qy_size) { + vk_prealloc_size_qy = qy_size; + } + if (vk_prealloc_size_x < x_size) { + vk_prealloc_size_x = x_size; + } + if (vk_prealloc_size_y < y_size) { + vk_prealloc_size_y = y_size; + } + if (vk_prealloc_size_split_k < split_k_size) { + vk_prealloc_size_split_k = split_k_size; + } } vk_gc.extras.push_back(extra); @@ -2581,14 +2735,28 @@ static ggml_tensor * ggml_vk_find_last_use(ggml_tensor * node, ggml_cgraph * gra GGML_ASSERT(false); } +static void ggml_vk_realign_tensor(ggml_tensor * tensor) { + // Handle split-k, which needs more space per MM + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; + + std::array order; + ggml_vk_tensor_stride_order(tensor, order); + + tensor->nb[order[2]] = ggml_vk_align_size(std::max(extra->tensor_size / tensor->ne[order[3]] / tensor->ne[order[2]], tensor->nb[order[1]]*tensor->ne[order[1]]), vk_device.properties.limits.minStorageBufferOffsetAlignment); + + for (int i = 3; i < GGML_MAX_DIMS; i++) { + tensor->nb[order[i]] = tensor->nb[order[i - 1]]*tensor->ne[order[i - 1]]; + } +} + void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ #ifdef VK_DEBUG std::cerr << "ggml_vk_preallocate_buffers_graph(" << node << ")" << std::endl; #endif node->extra = nullptr; - const bool src0_gpu = node->src[0] != nullptr && node->src[0]->ne[1] > 32 && node->src[0]->extra != nullptr && node->src[0]->backend == GGML_BACKEND_CPU; - const bool src1_gpu = node->src[1] != nullptr && node->src[1]->ne[1] > 32 && node->src[1]->extra != nullptr && node->src[1]->backend == GGML_BACKEND_CPU; + const bool src0_gpu = false; // node->src[0] != nullptr && node->src[0]->ne[1] > 32 && node->src[0]->extra != nullptr && node->src[0]->backend == GGML_BACKEND_CPU; + const bool src1_gpu = false; // node->src[1] != nullptr && node->src[1]->ne[1] > 32 && node->src[1]->extra != nullptr && node->src[1]->backend == GGML_BACKEND_CPU; const bool any_on_device = node->backend == GGML_BACKEND_GPU || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT || src0_gpu)) @@ -2606,7 +2774,7 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ const int64_t ne01 = use_src0 ? src0->ne[1] : 0; const int64_t ne02 = use_src0 ? src0->ne[2] : 0; const int64_t ne03 = use_src0 ? src0->ne[3] : 0; - const bool use_src1 = src1 != nullptr && node->op != GGML_OP_SCALE; + const bool use_src1 = src1 != nullptr && node->op != GGML_OP_SCALE && node->op != GGML_OP_CPY && node->op != GGML_OP_CONT && node->op != GGML_OP_DUP; const int64_t ne10 = use_src1 ? src1->ne[0] : 0; const int64_t ne11 = use_src1 ? src1->ne[1] : 0; const int64_t ne12 = use_src1 ? src1->ne[2] : 0; @@ -2640,15 +2808,34 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ const uint32_t qy_sz = use_src1 ? ggml_vk_align_size(ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type), vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne12 * ne13 : 0; const uint32_t x_sz = use_src0 ? ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne02 * ne03 : 0; const uint32_t y_sz = use_src1 ? ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne12 * ne13 : 0; - const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne22 * ne23; + uint32_t d_sz = ggml_vk_align_size(ggml_type_size(node->type) * d_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne22 * ne23; + + // These ops can create incontiguous tensors + if (node->op == GGML_OP_CPY || node->op == GGML_OP_CONT || node->op == GGML_OP_DUP) { + d_sz = ggml_vk_align_size(node->ne[1] * node->nb[1], vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne22 * ne23; + } + + ggml_vk_tensor_extra_gpu * extra; + ggml_vk_tensor_extra_gpu * src0_extra = use_src0 ? (ggml_vk_tensor_extra_gpu *) src0->extra : nullptr; + ggml_vk_tensor_extra_gpu * src1_extra = use_src1 ? (ggml_vk_tensor_extra_gpu *) src1->extra : nullptr; // Block buffers for reuse early switch (node->op) { case GGML_OP_REPEAT: case GGML_OP_GET_ROWS: + case GGML_OP_RESHAPE: + case GGML_OP_VIEW: + case GGML_OP_PERMUTE: + case GGML_OP_TRANSPOSE: case GGML_OP_ADD: case GGML_OP_SCALE: + case GGML_OP_SQR: + case GGML_OP_CLAMP: + case GGML_OP_CPY: + case GGML_OP_CONT: + case GGML_OP_DUP: case GGML_OP_MUL: + case GGML_OP_NORM: case GGML_OP_RMS_NORM: case GGML_OP_MUL_MAT: if (node->op == GGML_OP_MUL_MAT && !any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { @@ -2657,49 +2844,80 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ // Reuse GPU buffer if previous op is also on GPU if (src0_gpu) { + // std::cerr << "Offloading " << src0 << " (" << ggml_op_name(src0->op) << ") to GPU because of " << src0->extra << std::endl; src0->backend = GGML_BACKEND_GPU; - ggml_vk_tensor_extra_gpu * src0_extra = (ggml_vk_tensor_extra_gpu *) src0->extra; // Replace with data GPU tensor vk_prealloc_d_blocked[src0_extra->d_idx] = ggml_vk_find_last_use(src0, graph); - // Handle buffer offset alignment issues in 2nd and 3rd dimensions early by changing stride ggml_vk_realign_tensor(src0); } if (src1_gpu) { + // std::cerr << "Offloading " << src1 << " (" << ggml_op_name(src1->op) << ") to GPU because of " << src1->extra << std::endl;// src1->backend = GGML_BACKEND_GPU; - ggml_vk_tensor_extra_gpu * src1_extra = (ggml_vk_tensor_extra_gpu *) src1->extra; // Replace with data GPU tensor vk_prealloc_d_blocked[src1_extra->d_idx] = ggml_vk_find_last_use(src1, graph); ggml_vk_realign_tensor(src1); } - default: break; } switch (node->op) { case GGML_OP_REPEAT: - node->extra = ggml_vk_preallocate_buffers(d_sz, qx_sz, 0, 0, 0); + node->extra = ggml_vk_preallocate_buffers(d_sz, qx_sz, 0, 0, 0, 0); break; case GGML_OP_GET_ROWS: - node->extra = ggml_vk_preallocate_buffers(0, 0, 0, 0, 0); + node->extra = ggml_vk_preallocate_buffers(d_sz, 0, 0, 0, 0, 0); + + break; + case GGML_OP_RESHAPE: + case GGML_OP_VIEW: + case GGML_OP_PERMUTE: + case GGML_OP_TRANSPOSE: + extra = ggml_vk_preallocate_buffers(0, 0, 0, 0, 0, 0); + // These ops reuse the src's buffer + if (use_src1) { + extra->d_idx = src1_extra->d_idx; + extra->tensor_size = src1_extra->tensor_size; + vk_prealloc_d_blocked[src1_extra->d_idx] = ggml_vk_find_last_use(src1, graph); + } else { + extra->d_idx = src0_extra->d_idx; + extra->tensor_size = src0_extra->tensor_size; + vk_prealloc_d_blocked[src0_extra->d_idx] = ggml_vk_find_last_use(src0, graph); + } + node->extra = extra; break; case GGML_OP_ADD: case GGML_OP_SCALE: + case GGML_OP_SQR: + case GGML_OP_CLAMP: + case GGML_OP_CPY: + case GGML_OP_CONT: + case GGML_OP_DUP: case GGML_OP_MUL: + case GGML_OP_NORM: case GGML_OP_RMS_NORM: - node->extra = ggml_vk_preallocate_buffers(d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, 0, 0); + node->extra = ggml_vk_preallocate_buffers(d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, 0, 0, 0); break; case GGML_OP_MUL_MAT: - node->extra = ggml_vk_preallocate_buffers(d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, qx_needs_dequant ? x_sz : 0, qy_needs_dequant ? y_sz : 0); + node->extra = ggml_vk_preallocate_buffers(d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, qx_needs_dequant ? x_sz : 0, qy_needs_dequant ? y_sz : 0, split_k > 1 ? d_sz * 4 : 0); break; default: return; } + // std::cerr << "Created extra " << node->extra << " for " << node << " (" << ggml_op_name(node->op) << ") with"; + // if (src0 != nullptr) { + // std::cerr << " src0=" << src0 << " (" << ggml_op_name(src0->op) << ")"; + // } + // if (src1 != nullptr) { + // std::cerr << " src1=" << src1 << " (" << ggml_op_name(src1->op) << ")"; + // } + // std::cerr << std::endl; + // Unblock buffers if they terminate at current node for (size_t i = 0; i < vk_prealloc_d_blocked.size(); i++) { if (vk_prealloc_d_blocked[i] == node) { @@ -2746,6 +2964,13 @@ void ggml_vk_preallocate_buffers() { } vk_prealloc_y = ggml_vk_create_buffer(vk_prealloc_size_y, vk::MemoryPropertyFlagBits::eDeviceLocal); } + if (vk_prealloc_split_k.size < vk_prealloc_size_split_k) { + // Resize buffer + if (vk_prealloc_split_k.size > 0) { + ggml_vk_destroy_buffer(vk_prealloc_split_k); + } + vk_prealloc_split_k = ggml_vk_create_buffer(vk_prealloc_size_split_k, vk::MemoryPropertyFlagBits::eDeviceLocal); + } } void ggml_vk_build_graph(ggml_tensor * node){ @@ -2783,6 +3008,31 @@ void ggml_vk_build_graph(ggml_tensor * node){ case GGML_OP_SCALE: ggml_vk_scale(node->src[0], node->src[1], node); + break; + case GGML_OP_SQR: + ggml_vk_sqr(node->src[0], node); + + break; + case GGML_OP_CLAMP: + ggml_vk_clamp(node->src[0], node); + + break; + case GGML_OP_CPY: + case GGML_OP_CONT: + case GGML_OP_DUP: + ggml_vk_cpy(node->src[0], node); + + break; + case GGML_OP_RESHAPE: + case GGML_OP_VIEW: + case GGML_OP_PERMUTE: + case GGML_OP_TRANSPOSE: + ggml_vk_nop(node->src[0], node); + + break; + case GGML_OP_NORM: + ggml_vk_norm(node->src[0], node); + break; case GGML_OP_RMS_NORM: ggml_vk_rms_norm(node->src[0], node); @@ -2830,7 +3080,17 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) case GGML_OP_GET_ROWS: case GGML_OP_MUL: case GGML_OP_SCALE: + case GGML_OP_SQR: + case GGML_OP_CLAMP: + case GGML_OP_CPY: + case GGML_OP_CONT: + case GGML_OP_DUP: + case GGML_OP_NORM: case GGML_OP_RMS_NORM: + case GGML_OP_RESHAPE: + case GGML_OP_VIEW: + case GGML_OP_PERMUTE: + case GGML_OP_TRANSPOSE: extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; break; @@ -2866,21 +3126,23 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) ggml_vk_check_results_0(params, tensor); #endif - // Do staging buffer copies - for (auto& cpy : extra->memcpys) { - memcpy(cpy.dst, cpy.src, cpy.n); - } - ggml_vk_submit(vk_device.transfer_queues[0], extra->in0_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.transfer_queues[1], extra->in1_seqs, VK_NULL_HANDLE); - if (extra->out_seqs.empty()) { - ggml_vk_submit(vk_device.compute_queue, extra->comp_seqs, vk_fence); - } else { - ggml_vk_submit(vk_device.compute_queue, extra->comp_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.transfer_queues[1], extra->out_seqs, vk_fence); - } + if (!extra->out_seqs.empty() || !extra->comp_seqs.empty()) { + // Do staging buffer copies + for (auto& cpy : extra->memcpys) { + memcpy(cpy.dst, cpy.src, cpy.n); + } + ggml_vk_submit(vk_device.transfer_queues[0], extra->in0_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[1], extra->in1_seqs, VK_NULL_HANDLE); + if (extra->out_seqs.empty()) { + ggml_vk_submit(vk_device.compute_queue, extra->comp_seqs, vk_fence); + } else { + ggml_vk_submit(vk_device.compute_queue, extra->comp_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queues[1], extra->out_seqs, vk_fence); + } - VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "ggml_vk_compute_forward waitForFences"); - vk_device.device.resetFences({ vk_fence }); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "ggml_vk_compute_forward waitForFences"); + vk_device.device.resetFences({ vk_fence }); + } return true; } @@ -2927,7 +3189,7 @@ void ggml_vk_print_graph_origin(const ggml_tensor * tensor, std::vectorop) << " " << tensor->backend << std::endl; + std::cerr << ggml_op_name(tensor->op) << " gpu=" << (tensor->extra != nullptr) << " backend=" << tensor->backend << std::endl; done.push_back(tensor); @@ -2938,30 +3200,10 @@ void ggml_vk_print_graph_origin(const ggml_tensor * tensor, std::vectortype != GGML_TYPE_F32) { +void ggml_vk_print_tensor_area(const ggml_tensor * tensor, const void * data, int i0, int i1, int i2, int i3) { + if (tensor->type != GGML_TYPE_F32 && tensor->type != GGML_TYPE_F16) { return; } - for (int i3 = 0; i3 < tensor->ne[3]; i3++) { - for (int i2 = 0; i2 < tensor->ne[2]; i2++) { - for (int i1 = 0; i1 < tensor->ne[1]; i1++) { - for (int i0 = 0; i0 < tensor->ne[0]; i0++) { - const float val = *(float *) ((char *) tensor->data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); - if (std::isnan(val)) { - std::cerr << "ERROR: TENSOR CHECK " << name << ": Invalid value in " << ggml_op_name(tensor->op) << " i3=" << i3 << " i2=" << i2 << " i1=" << i1 << " i0=" << i0 << " val=" << val << std::endl; - std::cerr << "tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; - std::cerr << std::endl; - std::vector done; - ggml_vk_print_graph_origin(tensor, done); - GGML_ASSERT(false); - } - } - } - } - } -} - -void ggml_vk_print_tensor_area(const ggml_tensor * tensor, const void * data, int i0, int i1, int i2, int i3) { fprintf(stderr, " "); for (int idx1 = i1 - 5; idx1 < i1 + 5; idx1++) { fprintf(stderr, "%7d ", idx1); @@ -2970,8 +3212,13 @@ void ggml_vk_print_tensor_area(const ggml_tensor * tensor, const void * data, in for (int idx0 = i0 - 5; idx0 < i0 + 5; idx0++) { fprintf(stderr, "%7d: ", idx0); for (int idx1 = i1 - 5; idx1 < i1 + 5; idx1++) { - if (idx0 >= 0 && idx0 < tensor->ne[0] && idx1 >= 0 && idx1 < tensor->ne[1]) { - float val = *(float *) ((char *) data + i3*tensor->nb[3] + i2*tensor->nb[2] + idx1*tensor->nb[1] + idx0*tensor->nb[0]); + if (idx0 >= 0 && idx0 < tensor->ne[0] && idx1 >= 0 && idx1 < tensor->ne[1] && i2 >= 0 && i2 < tensor->ne[2] && i3 >= 0 && i3 < tensor->ne[3]) { + float val; + if (tensor->type == GGML_TYPE_F32) { + val = *(float *) ((char *) data + i3*tensor->nb[3] + i2*tensor->nb[2] + idx1*tensor->nb[1] + idx0*tensor->nb[0]); + } else if (tensor->type == GGML_TYPE_F16) { + val = ggml_fp16_to_fp32(*(ggml_fp16_t *) ((char *) data + i3*tensor->nb[3] + i2*tensor->nb[2] + idx1*tensor->nb[1] + idx0*tensor->nb[0])); + } fprintf(stderr, "% 7.2f ", val); } else { fprintf(stderr, " "); @@ -2981,17 +3228,83 @@ void ggml_vk_print_tensor_area(const ggml_tensor * tensor, const void * data, in } } -size_t ggml_vk_tensor_size(const ggml_tensor * tensor) { - return std::max(tensor->ne[3]*tensor->nb[3], tensor->nb[1] * tensor->ne[1] * tensor->ne[2] * tensor->ne[3]); +void ggml_vk_print_tensor(const ggml_tensor * tensor, const char * name) { + void * tensor_data = tensor->data; + + if (tensor->backend == GGML_BACKEND_GPU) { + const size_t tensor_size = ggml_vk_tensor_size(tensor); + tensor_data = malloc(tensor_size); + + ggml_vk_buffer_read((vk_buffer *)tensor->data, 0, tensor_data, tensor_size, vk_device.transfer_queues[0]); + } + + std::cerr << "TENSOR CHECK " << name << " (" << tensor->name << "): " << ggml_op_name(tensor->op) << std::endl; + std::cerr << "tensor=" << tensor << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; + if (tensor->src[0] != nullptr) { + std::cerr << "tensor->src[0]=" << tensor->src[0] << " name=" << tensor->src[0]->name << " op=" << ggml_op_name(tensor->src[0]->op) << " type=" << ggml_type_name(tensor->src[0]->type) << " backend=" << tensor->src[0]->backend << " ne0=" << tensor->src[0]->ne[0] << " nb0=" << tensor->src[0]->nb[0] << " ne1=" << tensor->src[0]->ne[1] << " nb1=" << tensor->src[0]->nb[1] << " ne2=" << tensor->src[0]->ne[2] << " nb2=" << tensor->src[0]->nb[2] << " ne3=" << tensor->src[0]->ne[3] << " nb3=" << tensor->src[0]->nb[3] << std::endl; + } + if (tensor->src[1] != nullptr) { + std::cerr << "tensor->src[1]=" << tensor->src[1] << " name=" << tensor->src[1]->name << " op=" << ggml_op_name(tensor->src[1]->op) << " type=" << ggml_type_name(tensor->src[1]->type) << " backend=" << tensor->src[1]->backend << " ne0=" << tensor->src[1]->ne[0] << " nb0=" << tensor->src[1]->nb[0] << " ne1=" << tensor->src[1]->ne[1] << " nb1=" << tensor->src[1]->nb[1] << " ne2=" << tensor->src[1]->ne[2] << " nb2=" << tensor->src[1]->nb[2] << " ne3=" << tensor->src[1]->ne[3] << " nb3=" << tensor->src[1]->nb[3] << std::endl; + } + std::cerr << std::endl << "Result:" << std::endl; + ggml_vk_print_tensor_area(tensor, tensor->data, 5, 5, 0, 0); + std::cerr << std::endl; + std::cerr << std::endl << "Result:" << std::endl; + ggml_vk_print_tensor_area(tensor, tensor->data, 5, 5, 1, 0); + std::cerr << std::endl; + std::vector done; + ggml_vk_print_graph_origin(tensor, done); + + if (tensor->backend == GGML_BACKEND_GPU) { + free(tensor_data); + } +} + +void ggml_vk_check_tensor(const std::string& name, const ggml_tensor * tensor) { + GGML_ASSERT(tensor->backend == GGML_BACKEND_CPU); + if (tensor->type != GGML_TYPE_F32 && tensor->type != GGML_TYPE_F16) { + return; + } + for (int i3 = 0; i3 < tensor->ne[3]; i3++) { + for (int i2 = 0; i2 < tensor->ne[2]; i2++) { + for (int i1 = 0; i1 < tensor->ne[1]; i1++) { + for (int i0 = 0; i0 < tensor->ne[0]; i0++) { + float val; + if (tensor->type == GGML_TYPE_F32) { + val = *(float *) ((char *) tensor->data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); + } else if (tensor->type == GGML_TYPE_F16) { + val = ggml_fp16_to_fp32(*(ggml_fp16_t *) ((char *) tensor->data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0])); + } + if (std::isnan(val)) { + std::cerr << "ERROR: TENSOR CHECK " << name << ": Invalid value in " << ggml_op_name(tensor->op) << " i3=" << i3 << " i2=" << i2 << " i1=" << i1 << " i0=" << i0 << " val=" << val << std::endl; + std::cerr << "tensor=" << tensor << " tensor->type=" << ggml_type_name(tensor->type) << " tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; + std::cerr << std::endl; + ggml_vk_print_tensor_area(tensor, tensor->data, i0, i1, i2, i3); + std::cerr << std::endl; + std::vector done; + ggml_vk_print_graph_origin(tensor, done); + GGML_ASSERT(false); + } + } + } + } + } } void * comp_result; +size_t comp_size; size_t comp_nb[GGML_MAX_DIMS]; +size_t check_counter = 0; void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) { if (params->ith != 0) { return; } - if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) { + if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE || tensor->op == GGML_OP_TRANSPOSE) { + return; + } + + check_counter++; + if (!(vk_output_tensor > 0 && vk_output_tensor == check_counter) && check_counter <= vk_skip_checks) { return; } @@ -3044,7 +3357,11 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) GGML_ASSERT(false); } - ggml_vk_check_tensor(std::string(ggml_op_name(tensor->op)) + "->src0", src0_clone); + if (vk_output_tensor > 0 && vk_output_tensor == check_counter) { + ggml_vk_print_tensor(src0, "src0"); + } + + // ggml_vk_check_tensor(std::string(ggml_op_name(tensor->op)) + "->src0", src0_clone); } if (src1 != nullptr) { src1_clone = ggml_dup_tensor(ctx, src1); @@ -3077,7 +3394,27 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) GGML_ASSERT(false); } - ggml_vk_check_tensor(std::string(ggml_op_name(tensor->op)) + "->src1", src1_clone); + if (vk_output_tensor > 0 && vk_output_tensor == check_counter) { + ggml_vk_print_tensor(src1, "src1"); + std::cerr << "TENSOR CHECK: " << ggml_op_name(src1_clone->op) << " (check " << check_counter << ")" << std::endl; + std::cerr << "src1_clone=" << tensor << " src1_clone->backend: " << src1_clone->backend << " src1_clone->type: " << ggml_type_name(src1_clone->type) << " ne0=" << src1_clone->ne[0] << " nb0=" << src1_clone->nb[0] << " ne1=" << src1_clone->ne[1] << " nb1=" << src1_clone->nb[1] << " ne2=" << src1_clone->ne[2] << " nb2=" << src1_clone->nb[2] << " ne3=" << src1_clone->ne[3] << " nb3=" << src1_clone->nb[3] << std::endl; + if (src1->src[0] != nullptr) { + std::cerr << "src1->src[0]=" << src1->src[0] << " op=" << ggml_op_name(src1->src[0]->op) << " type=" << ggml_type_name(src1->src[0]->type) << " backend=" << src1->src[0]->backend << " ne0=" << src1->src[0]->ne[0] << " nb0=" << src1->src[0]->nb[0] << " ne1=" << src1->src[0]->ne[1] << " nb1=" << src1->src[0]->nb[1] << " ne2=" << src1->src[0]->ne[2] << " nb2=" << src1->src[0]->nb[2] << " ne3=" << src1->src[0]->ne[3] << " nb3=" << src1->src[0]->nb[3] << std::endl; + } + if (src1->src[1] != nullptr) { + std::cerr << "src1->src[1]=" << src1->src[1] << " op=" << ggml_op_name(src1->src[1]->op) << " type=" << ggml_type_name(src1->src[1]->type) << " backend=" << src1->src[1]->backend << " ne0=" << src1->src[1]->ne[0] << " nb0=" << src1->src[1]->nb[0] << " ne1=" << src1->src[1]->ne[1] << " nb1=" << src1->src[1]->nb[1] << " ne2=" << src1->src[1]->ne[2] << " nb2=" << src1->src[1]->nb[2] << " ne3=" << src1->src[1]->ne[3] << " nb3=" << src1->src[1]->nb[3] << std::endl; + } + std::cerr << std::endl << "Result:" << std::endl; + ggml_vk_print_tensor_area(src1_clone, src1_clone->data, 5, 5, 0, 0); + std::cerr << std::endl; + std::cerr << std::endl << "Result:" << std::endl; + ggml_vk_print_tensor_area(src1_clone, src1_clone->data, 5, 5, 1, 0); + std::cerr << std::endl; + std::vector done; + ggml_vk_print_graph_origin(src1_clone, done); + } + + // ggml_vk_check_tensor(std::string(ggml_op_name(tensor->op)) + "->src1", src1_clone); } if (tensor->op == GGML_OP_MUL_MAT) { @@ -3086,25 +3423,51 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) tensor_clone = ggml_mul(ctx, src0_clone, src1_clone); } else if (tensor->op == GGML_OP_SCALE) { tensor_clone = ggml_scale(ctx, src0_clone, src1_clone); + } else if (tensor->op == GGML_OP_SQR) { + tensor_clone = ggml_sqr(ctx, src0_clone); + } else if (tensor->op == GGML_OP_CLAMP) { + tensor_clone = ggml_clamp(ctx, src0_clone, ((float *)tensor->op_params)[0], ((float *)tensor->op_params)[1]); } else if (tensor->op == GGML_OP_ADD) { tensor_clone = ggml_add(ctx, src0_clone, src1_clone); + } else if (tensor->op == GGML_OP_NORM) { + tensor_clone = ggml_norm(ctx, src0_clone, *(float *)tensor->op_params); } else if (tensor->op == GGML_OP_RMS_NORM) { tensor_clone = ggml_rms_norm(ctx, src0_clone, *(float *)tensor->op_params); + } else if (tensor->op == GGML_OP_CPY || tensor->op == GGML_OP_CONT || tensor->op == GGML_OP_DUP) { + if (src1 == nullptr) { + tensor_clone = ggml_dup(ctx, src0_clone); + tensor_clone->type == tensor->type; + } else { + tensor_clone = ggml_cpy(ctx, src0_clone, src1_clone); + } + } else if (tensor->op == GGML_OP_RESHAPE) { + tensor_clone = ggml_reshape_4d(ctx, src0_clone, tensor->ne[0], tensor->ne[1], tensor->ne[2], tensor->ne[3]); + } else if (tensor->op == GGML_OP_VIEW) { + tensor_clone = ggml_view_4d(ctx, src0_clone, tensor->ne[0], tensor->ne[1], tensor->ne[2], tensor->ne[3], tensor->nb[1], tensor->nb[2], tensor->nb[3], ((int32_t *) tensor->op_params)[0]); + } else if (tensor->op == GGML_OP_PERMUTE) { + int32_t * params = (int32_t *)tensor->op_params; + tensor_clone = ggml_permute(ctx, src0_clone, params[0], params[1], params[2], params[3]); + } else if (tensor->op == GGML_OP_TRANSPOSE) { + tensor_clone = ggml_transpose(ctx, src0_clone); } else { std::cerr << "Missing vk_check_results OP: " << ggml_op_name(tensor->op) << std::endl; GGML_ASSERT(false); } - struct ggml_cgraph cgraph = ggml_build_forward(tensor_clone); + ggml_cgraph * cgraph = ggml_new_graph(ctx); + ggml_build_forward_expand(cgraph, tensor_clone); - ggml_graph_compute_with_ctx(ctx, &cgraph, 8); + ggml_graph_compute_with_ctx(ctx, cgraph, 8); - ggml_vk_check_tensor(ggml_op_name(tensor->op), tensor_clone); + // ggml_vk_check_tensor(ggml_op_name(tensor->op), tensor_clone); + if (vk_output_tensor > 0 && vk_output_tensor == check_counter) { + ggml_vk_print_tensor(tensor_clone, "tensor_clone"); + } - size_t tensor_size = ggml_vk_tensor_size(tensor); + comp_size = ggml_vk_tensor_size(tensor_clone); - comp_result = malloc(tensor_size); - memcpy(comp_result, tensor_clone->data, tensor_size); + comp_result = malloc(comp_size); + memcpy(comp_result, tensor_clone->data, comp_size); memcpy(comp_nb, tensor_clone->nb, sizeof(size_t) * GGML_MAX_DIMS); if (src0 != nullptr) { @@ -3121,7 +3484,10 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) if (params->ith != 0) { return; } - if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) { + if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE || tensor->op == GGML_OP_TRANSPOSE) { + return; + } + if (!(vk_output_tensor > 0 && vk_output_tensor == check_counter) && check_counter <= vk_skip_checks) { return; } @@ -3147,43 +3513,58 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) for (int i2 = 0; i2 < tensor->ne[2]; i2++) { for (int i1 = 0; i1 < tensor->ne[1]; i1++) { for (int i0 = 0; i0 < tensor->ne[0]; i0++) { - if (tensor->type == GGML_TYPE_F32) { - float correct = *(float *) ((char *) comp_result + i3*comp_nb[3] + i2*comp_nb[2] + i1*comp_nb[1] + i0*comp_nb[0]); - float result = *(float *) ((char *) tensor_data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); - - if (std::isnan(correct) || std::isnan(result) || std::isnan(avg_err)) { - std::cerr << "ERROR: Invalid value in " << ggml_op_name(tensor->op) << " i3=" << i3 << " i2=" << i2 << " i1=" << i1 << " i0=" << i0 << " result=" << result << " correct=" << correct << " avg_err=" << (avg_err / counter) << std::endl; - std::cerr << "tensor=" << tensor << " tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; - if (src0 != nullptr) { - std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << std::endl; - } - if (src1 != nullptr) { - std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << std::endl; - } - std::cerr << "First error: result=" << first_error_result << " correct=" << first_error_correct << " i3=" << first_error[3] << " i2=" << first_error[2] << " i1=" << first_error[1] << " i0=" << first_error[0] << std::endl; - std::cerr << std::endl; - ggml_vk_print_tensor_area(tensor, tensor_data, i0, i1, i2, i3); - std::cerr << std::endl; - std::vector done; - ggml_vk_print_graph_origin(tensor, done); - GGML_ASSERT(false); - } - if (first_error[0] == -1 && std::fabs(correct - result) > 0.1f) { - first_error[0] = i0; - first_error[1] = i1; - first_error[2] = i2; - first_error[3] = i3; - first_error_result = result; - first_error_correct = correct; + const bool buffer_size_fit = i3*comp_nb[3] + i2*comp_nb[2] + i1*comp_nb[1] + i0*comp_nb[0] < comp_size; + float correct = 0.0f; + float result = 0.0f; + + if (buffer_size_fit) { + if (tensor->type == GGML_TYPE_F32) { + correct = *(float *) ((char *) comp_result + i3*comp_nb[3] + i2*comp_nb[2] + i1*comp_nb[1] + i0*comp_nb[0]); + result = *(float *) ((char *) tensor_data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); + } else if (tensor->type == GGML_TYPE_F16) { + correct = ggml_fp16_to_fp32(*(ggml_fp16_t *) ((char *) comp_result + i3*comp_nb[3] + i2*comp_nb[2] + i1*comp_nb[1] + i0*comp_nb[0])); + result = ggml_fp16_to_fp32(*(ggml_fp16_t *) ((char *) tensor_data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0])); + } else { + std::cerr << "comp_size=" << comp_size << " but required is " << (i3*comp_nb[3] + i2*comp_nb[2] + i1*comp_nb[1] + i0*comp_nb[0]) << std::endl; } + } else { + std::cerr << "Missing debug code for type " << ggml_type_name(tensor->type) << std::endl; + GGML_ASSERT(false); + } - // Special case, value is infinite, avoid NaN result in avg_err - if (!std::isinf(correct) || !std::isinf(result) || correct != result) { - avg_err += std::fabs(correct - result); + if ((std::isnan(correct) != std::isnan(result)) || (std::isinf(correct) != std::isinf(result)) || !buffer_size_fit) { + std::cerr << "ERROR: Invalid value in " << ggml_op_name(tensor->op) << " i3=" << i3 << " i2=" << i2 << " i1=" << i1 << " i0=" << i0 << " result=" << result << " correct=" << correct << " avg_err=" << (avg_err / counter) << std::endl; + std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; + if (src0 != nullptr) { + std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << std::endl; } - } else { + if (src1 != nullptr) { + std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << std::endl; + } + std::cerr << "First error: result=" << first_error_result << " correct=" << first_error_correct << " i3=" << first_error[3] << " i2=" << first_error[2] << " i1=" << first_error[1] << " i0=" << first_error[0] << std::endl; + std::cerr << std::endl << "Result:" << std::endl; + ggml_vk_print_tensor_area(tensor, tensor_data, i0, i1, i2, i3); + std::cerr << std::endl << "Correct:" << std::endl; + ggml_vk_print_tensor_area(tensor, comp_result, i0, i1, i2, i3); + std::cerr << std::endl; + std::vector done; + ggml_vk_print_graph_origin(tensor, done); GGML_ASSERT(false); } + if (first_error[0] == -1 && std::fabs(correct - result) > 0.1f) { + first_error[0] = i0; + first_error[1] = i1; + first_error[2] = i2; + first_error[3] = i3; + first_error_result = result; + first_error_correct = correct; + } + + // Special case, value is infinite, avoid NaN result in avg_err + // NaN also appears in results, if both are nan error is 0 + if (!std::isinf(correct) && !std::isinf(result) && !std::isnan(correct) && !std::isnan(result)) { + avg_err += std::fabs(correct - result); + } counter++; } } @@ -3192,9 +3573,9 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) avg_err /= counter; - if (avg_err > 0.1 || std::isnan(avg_err)) { - std::cerr << "ERROR: avg_err=" << avg_err << " in " << ggml_op_name(tensor->op) << std::endl; - std::cerr << "tensor=" << tensor << " tensor->backend: " << tensor->backend << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; + if (vk_output_tensor > 0 && vk_output_tensor == check_counter) { + std::cerr << "TENSOR CHECK: avg_err=" << avg_err << " in " << ggml_op_name(tensor->op) << " (check " << check_counter << ")" << std::endl; + std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; if (src0 != nullptr) { std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << std::endl; } @@ -3202,16 +3583,45 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << std::endl; } std::cerr << "First error: result=" << first_error_result << " correct=" << first_error_correct << " i3=" << first_error[3] << " i2=" << first_error[2] << " i1=" << first_error[1] << " i0=" << first_error[0] << std::endl; + std::cerr << std::endl << "Result:" << std::endl; + ggml_vk_print_tensor_area(tensor, tensor_data, 5, 5, 0, 0); + std::cerr << std::endl << "Correct:" << std::endl; + ggml_vk_print_tensor_area(tensor, comp_result, 5, 5, 0, 0); std::cerr << std::endl; + std::cerr << std::endl << "Result:" << std::endl; + ggml_vk_print_tensor_area(tensor, tensor_data, 5, 5, 1, 0); + std::cerr << std::endl << "Correct:" << std::endl; + ggml_vk_print_tensor_area(tensor, comp_result, 5, 5, 1, 0); + std::cerr << std::endl; + std::vector done; + ggml_vk_print_graph_origin(tensor, done); + } + + if (avg_err > 0.1 || std::isnan(avg_err)) { + std::cerr << "ERROR: avg_err=" << avg_err << " in " << ggml_op_name(tensor->op) << " (check " << check_counter << ")" << std::endl; + std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; + if (src0 != nullptr) { + std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << std::endl; + } + if (src1 != nullptr) { + std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << std::endl; + } + std::cerr << "First error: result=" << first_error_result << " correct=" << first_error_correct << " i3=" << first_error[3] << " i2=" << first_error[2] << " i1=" << first_error[1] << " i0=" << first_error[0] << std::endl; + std::cerr << std::endl << "Result:" << std::endl; ggml_vk_print_tensor_area(tensor, tensor_data, first_error[0], first_error[1], first_error[2], first_error[3]); + std::cerr << std::endl << "Correct:" << std::endl; + ggml_vk_print_tensor_area(tensor, comp_result, first_error[0], first_error[1], first_error[2], first_error[3]); std::cerr << std::endl; std::vector done; ggml_vk_print_graph_origin(tensor, done); GGML_ASSERT(false); + } else { + std::cerr << check_counter << " op=" << ggml_op_name(tensor->op) << " avg_err=" << avg_err << std::endl; } free(comp_result); comp_result = nullptr; + comp_size = 0; if (tensor->backend == GGML_BACKEND_GPU) { free(tensor_data); diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index e474d9537d12e..42c74c87a65df 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -427,10 +427,10 @@ layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; -layout (binding = 0) buffer A {float data[];}; +layout (binding = 0) readonly buffer A {float data_a[];}; +layout (binding = 1) writeonly buffer D {float data_d[];}; -layout (push_constant) uniform parameter -{ +layout (push_constant) uniform parameter { int M; int N; int k_num; @@ -449,10 +449,10 @@ float result = 0.0f; for (int i = 0; i < p.k_num; i++) { - result += data[i * p.M * p.N + idx]; + result += data_a[i * p.M * p.N + idx]; } - data[idx] = result; + data_d[idx] = result; } """ @@ -1315,6 +1315,14 @@ #version 450 #extension GL_EXT_shader_16bit_storage : require + +layout (push_constant) uniform parameter +{ + uint KX; + uint KY; + float param1; + float param2; +} p; """ # MUL F32 @@ -1324,15 +1332,8 @@ layout (binding = 1) readonly buffer Y {B_TYPE data_b[];}; layout (binding = 2) writeonly buffer D {D_TYPE data_d[];}; -layout (push_constant) uniform parameter -{ - int KX; - int KY; - float param; -} p; - void main() { - const int idx = int(gl_GlobalInvocationID.x); + const uint idx = gl_GlobalInvocationID.x; if (idx >= p.KX) { return; @@ -1350,15 +1351,8 @@ layout (binding = 1) readonly buffer Y {B_TYPE data_b[];}; layout (binding = 2) writeonly buffer D {D_TYPE data_d[];}; -layout (push_constant) uniform parameter -{ - int KX; - int KY; - float param; -} p; - void main() { - const int idx = int(gl_GlobalInvocationID.x); + const uint idx = gl_GlobalInvocationID.x; if (idx >= p.KX) { return; @@ -1374,21 +1368,86 @@ layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; +void main() { + const uint idx = gl_GlobalInvocationID.x; + + if (idx >= p.KX) { + return; + } + + data_d[idx] = D_TYPE(FLOAT_TYPE(data_a[idx]) * FLOAT_TYPE(p.param1)); +} +""" + +# SQR +sqr_body = """layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const uint idx = gl_GlobalInvocationID.x; + + if (idx >= p.KX) { + return; + } + + const FLOAT_TYPE val = FLOAT_TYPE(data_a[idx]); + data_d[idx] = D_TYPE(val * val); +} +""" + +# CLAMP +clamp_body = """layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const uint idx = gl_GlobalInvocationID.x; + + if (idx >= p.KX) { + return; + } + + const FLOAT_TYPE val = FLOAT_TYPE(data_a[idx]); + data_d[idx] = D_TYPE(val < p.param1 ? p.param1 : (val > p.param2 ? p.param2 : val)); +} +""" + +# CPY +cpy_head = """#version 450 + +#extension GL_EXT_shader_16bit_storage : require + layout (push_constant) uniform parameter { - int KX; - int KY; - float param; + uint ne; + uint ne00; uint ne01; uint nb00; uint nb01; uint nb02; + uint ne10; uint ne11; uint nb10; uint nb11; uint nb12; } p; +""" +cpy_body = """layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; -void main() { - const int idx = int(gl_GlobalInvocationID.x); +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; - if (idx >= p.KX) { +void main() { + if (gl_GlobalInvocationID.x >= p.ne) { return; } - data_d[idx] = D_TYPE(FLOAT_TYPE(data_a[idx]) * FLOAT_TYPE(p.param)); + const uint i02 = gl_GlobalInvocationID.x / (p.ne00*p.ne01); + const uint i01 = (gl_GlobalInvocationID.x - i02*p.ne01*p.ne00) / p.ne00; + const uint i00 = gl_GlobalInvocationID.x - i02*p.ne01*p.ne00 - i01*p.ne00; + const uint a_idx = i00*p.nb00 + i01*p.nb01 + i02*p.nb02; + + const uint i12 = gl_GlobalInvocationID.x / (p.ne10*p.ne11); + const uint i11 = (gl_GlobalInvocationID.x - i12*p.ne11*p.ne10) / p.ne10; + const uint i10 = gl_GlobalInvocationID.x - i12*p.ne11*p.ne10 - i11*p.ne10; + const uint d_idx = i10*p.nb10 + i11*p.nb11 + i12*p.nb12; + + data_d[d_idx] = D_TYPE(data_a[a_idx]); } """ @@ -1403,31 +1462,24 @@ layout (binding = 1) readonly buffer Y {int data_b[];}; layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; -layout (push_constant) uniform parameter -{ - int M; - int N; - float param; -} p; - void main() { - const int col = int(gl_GlobalInvocationID.x) * 2; - const int row = int(gl_GlobalInvocationID.y); + const uint col = int(gl_GlobalInvocationID.x) * 2; + const uint row = int(gl_GlobalInvocationID.y); - if (col >= p.N) { + if (col >= p.KY) { return; } - const int r = data_b[row]; + const uint r = uint(data_b[row]); - // copy data_a[r*p.N + col] to dst[row*p.M + col] - const int xi = r*p.N + col; - const int di = row*p.N + col; + // copy data_a[r*p.KY + col] to dst[row*p.KX + col] + const uint xi = r*p.KY + col; + const uint di = row*p.KY + col; - const int ib = xi/QUANT_K; // block index - const int iqs = (xi%QUANT_K)/QUANT_R; // quant index - const int iybs = di - di%QUANT_K; // y block start index - const int y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; + const uint ib = xi/QUANT_K; // block index + const uint iqs = (xi%QUANT_K)/QUANT_R; // quant index + const uint iybs = di - di%QUANT_K; // y block start index + const uint y_offset = QUANT_R == 1 ? 1 : QUANT_K/2; DEQUANT_FUNC @@ -1436,7 +1488,7 @@ } """ -rms_norm_body = """ +norm_body = """ #extension GL_EXT_control_flow_attributes : enable #define BLOCK_SIZE 512 @@ -1445,12 +1497,49 @@ layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; -layout (push_constant) uniform parameter -{ - int M; - int N; - float param; -} p; +shared vec2 sum[BLOCK_SIZE]; + +void main() { + const uint row = uint(gl_WorkGroupID.x); + const uint tid = uint(gl_LocalInvocationID.x); + + const float eps = 1e-5f; + + sum[tid] = vec2(0.0f, 0.0f); + + [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { + const float xi = float(data_a[row*p.KX + col]); + sum[tid].x += xi; + sum[tid].y += xi * xi; + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { + if (tid < s) { + sum[tid] += sum[tid + s]; + } + barrier(); + } + + const float mean = sum[0].x / p.KX; + const float var = sum[0].y / p.KX - mean * mean; + const float inv_std = inversesqrt(var + 1e-5f); + + for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { + data_d[row*p.KX + col] = D_TYPE((float(data_a[row*p.KX + col]) - mean) * inv_std); + } +} +""" + +rms_norm_body = """ +#extension GL_EXT_control_flow_attributes : enable +#define BLOCK_SIZE 512 + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; shared FLOAT_TYPE sum[BLOCK_SIZE]; @@ -1460,8 +1549,8 @@ sum[tid] = FLOAT_TYPE(0.0f); // partial sum for thread in warp - [[unroll]] for (uint col = tid; col < p.M; col += BLOCK_SIZE) { - const FLOAT_TYPE xi = FLOAT_TYPE(data_a[row*p.M + col]); + [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { + const FLOAT_TYPE xi = FLOAT_TYPE(data_a[row*p.KX + col]); sum[tid] += xi * xi; } @@ -1474,11 +1563,11 @@ barrier(); } - const FLOAT_TYPE mean = sum[0] / FLOAT_TYPE(p.M); - const FLOAT_TYPE scale = inversesqrt(mean + FLOAT_TYPE(p.param)); + const FLOAT_TYPE mean = sum[0] / FLOAT_TYPE(p.KX); + const FLOAT_TYPE scale = inversesqrt(mean + FLOAT_TYPE(p.param1)); - for (uint col = tid; col < p.M; col += BLOCK_SIZE) { - data_d[row*p.M + col] = D_TYPE(scale * FLOAT_TYPE(data_a[row*p.M + col])); + for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { + data_d[row*p.KX + col] = D_TYPE(scale * FLOAT_TYPE(data_a[row*p.KX + col])); } } """ @@ -1676,18 +1765,6 @@ async def main(): tasks.append(string_to_spv(f"get_rows_{type_names[i]}", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float16_t"}, fp16)) tasks.append(string_to_spv(f"get_rows_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float"}, fp16)) - # add - stream.clear() - stream.extend((generic_head, shader_float_type, add_body)) - tasks.append(string_to_spv("add_f32", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - tasks.append(string_to_spv("add_f16_f32_f16", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float16_t"}, fp16)) - - # Static shaders - tasks.append(string_to_spv("split_k_reduce", mulmat_split_k_reduce_src, {}, fp16)) - tasks.append(string_to_spv("mul_f32", f"{generic_head}\n{shader_float_type}\n{mul_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16)) - - tasks.append(string_to_spv("scale_f32", f"{generic_head}\n{shader_float_type}\n{scale_body}", {"A_TYPE": "float", "D_TYPE": "float"}, fp16)) - # Shaders where precision is needed, so no fp16 version # mul mat vec @@ -1723,9 +1800,24 @@ async def main(): tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float16_t", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) - # RMS Norm + # Norms + tasks.append(string_to_spv("norm_f32", f"{generic_head}\n{shader_f32}\n{norm_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) tasks.append(string_to_spv("rms_norm_f32", f"{generic_head}\n{shader_f32}\n{rms_norm_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) + tasks.append(string_to_spv("cpy_f32_f32", f"{cpy_head}\n{shader_f32}\n{cpy_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) + tasks.append(string_to_spv("cpy_f32_f16", f"{cpy_head}\n{shader_f32}\n{cpy_body}", {"A_TYPE": "float", "D_TYPE": "float16_t"}, True)) + + tasks.append(string_to_spv("add_f32", f"{generic_head}\n{shader_f32}\n{add_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, True)) + + tasks.append(string_to_spv("split_k_reduce", mulmat_split_k_reduce_src, {}, True)) + tasks.append(string_to_spv("mul_f32", f"{generic_head}\n{shader_f32}\n{mul_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, True)) + + tasks.append(string_to_spv("scale_f32", f"{generic_head}\n{shader_f32}\n{scale_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) + + tasks.append(string_to_spv("sqr_f32", f"{generic_head}\n{shader_f32}\n{sqr_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) + + tasks.append(string_to_spv("clamp_f32", f"{generic_head}\n{shader_f32}\n{clamp_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) + await asyncio.gather(*tasks) with open("ggml-vulkan-shaders.hpp", "w") as f: From ff93769cb1d6976fc218cbec93926a0c6dd53171 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 10 Dec 2023 14:59:08 +0100 Subject: [PATCH 112/142] Finish full offloading support, add last remaining ops, fix bugs, remove redundant code --- ggml-vulkan.cpp | 1667 ++++++++++++++++++++++++----------- ggml-vulkan.h | 10 +- ggml.c | 7 +- ggml_vk_generate_shaders.py | 591 +++++++++++-- llama.cpp | 79 +- 5 files changed, 1712 insertions(+), 642 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 96cd58cdac7a8..2824c4472f22c 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -19,7 +19,7 @@ #include -#include +#include #include #include #include @@ -81,8 +81,8 @@ struct vk_buffer { struct vk_subbuffer { vk_buffer buffer; - uint32_t offset; - uint32_t size; + uint64_t offset; + uint64_t size; }; struct vk_pipeline { @@ -144,6 +144,23 @@ struct vk_op_cpy_push_constants { uint32_t ne; uint32_t ne00; uint32_t ne01; uint32_t nb00; uint32_t nb01; uint32_t nb02; uint32_t ne10; uint32_t ne11; uint32_t nb10; uint32_t nb11; uint32_t nb12; + uint32_t d_offset; +}; + +struct vk_op_diag_mask_push_constants { + uint32_t ncols; + uint32_t rows_per_channel; + int32_t n_past; +}; + +struct vk_op_rope_push_constants { + uint32_t ncols; + float freq_scale; + uint32_t p_delta_rows; + float freq_base; + float ext_factor; + float attn_factor; + float corr_dims[4]; }; // Allow pre-recording command buffers @@ -156,6 +173,7 @@ struct vk_staging_memcpy { }; struct ggml_vk_tensor_extra_gpu { + bool ready; std::vector memcpys; std::vector in0_seqs; std::vector in1_seqs; @@ -165,14 +183,17 @@ struct ggml_vk_tensor_extra_gpu { int d_idx; size_t tensor_size; + + bool buffer_static; + vk_buffer * buffer_gpu; + uint64_t offset; }; struct ggml_vk_garbage_collector { std::vector pipelines; - std::vector gpu_tensors; - std::vector extras; std::vector tl_semaphores; std::vector semaphores; + std::vector temp_buffers; }; vk::Instance vk_instance; @@ -187,6 +208,8 @@ vk_pipeline vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_dequant[VK_NUM_TYPES]; vk_pipeline vk_pipeline_dequant_mul_mat_vec[VK_NUM_TYPES]; vk_pipeline vk_pipeline_dequant_mul_mat_vec_f32[VK_NUM_TYPES]; +vk_pipeline vk_pipeline_mul_mat_vec_p021_f16_f32; +vk_pipeline vk_pipeline_mul_mat_vec_nc_f16_f32; vk_pipeline vk_pipeline_get_rows[VK_NUM_TYPES]; vk_pipeline vk_pipeline_get_rows_f32[VK_NUM_TYPES]; vk_pipeline vk_pipeline_mul_f32; @@ -194,10 +217,15 @@ vk_pipeline vk_pipeline_add_f32; vk_pipeline vk_pipeline_scale_f32; vk_pipeline vk_pipeline_sqr_f32; vk_pipeline vk_pipeline_clamp_f32; -vk_pipeline vk_pipeline_cpy_f32_f32; -vk_pipeline vk_pipeline_cpy_f32_f16; +vk_pipeline vk_pipeline_cpy_f32_f32, vk_pipeline_cpy_f32_f16, vk_pipeline_cpy_f16_f16; vk_pipeline vk_pipeline_norm_f32; vk_pipeline vk_pipeline_rms_norm_f32; +vk_pipeline vk_pipeline_gelu_f32; +vk_pipeline vk_pipeline_silu_f32; +vk_pipeline vk_pipeline_relu_f32; +vk_pipeline vk_pipeline_diag_mask_inf_f32; +vk_pipeline vk_pipeline_soft_max_f32; +vk_pipeline vk_pipeline_rope_f32, vk_pipeline_rope_f16; static size_t vk_semaphore_idx; static ggml_vk_garbage_collector vk_gc; @@ -588,6 +616,8 @@ static vk_buffer ggml_vk_create_buffer(size_t size, vk::MemoryPropertyFlags req_ #ifdef VK_DEBUG std::cerr << "ggml_vk_create_buffer(" << size << ", " << to_string(req_flags) << ")" << std::endl; #endif + GGML_ASSERT(size > 0); + vk_buffer buf; buf.size = size; @@ -635,7 +665,7 @@ static vk_buffer ggml_vk_create_buffer(size_t size, vk::MemoryPropertyFlags req_ } static vk_subbuffer ggml_vk_subbuffer(vk_buffer& buf) { - return { buf, 0, (uint32_t) buf.size }; + return { buf, 0, (uint64_t) buf.size }; } static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector&& buffers, vk_queue& q, vk::AccessFlags&& src_mask, vk::AccessFlags&& dst_mask, bool force_sync) { @@ -727,27 +757,27 @@ static void ggml_vk_load_shaders() { auto warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; if (vk_device.fp16) { - vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_len, matmul_f32_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_len, matmul_f32_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_len, matmul_f32_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 1); - vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_len, matmul_f32_aligned_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_len, matmul_f32_aligned_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_len, matmul_f32_aligned_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_len, matmul_f16_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_len, matmul_f16_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_len, matmul_f16_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 1); - - vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_len, matmul_f16_aligned_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_len, matmul_f16_aligned_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_len, matmul_f16_aligned_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_len, matmul_f16_f32_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_len, matmul_f16_f32_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_len, matmul_f16_f32_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 1); - vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_len, matmul_f16_f32_aligned_l_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_len, matmul_f16_f32_aligned_m_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_len, matmul_f16_f32_aligned_s_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_len, matmul_f32_l_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_len, matmul_f32_m_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_len, matmul_f32_s_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 1); + vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_len, matmul_f32_aligned_l_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_len, matmul_f32_aligned_m_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_len, matmul_f32_aligned_s_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_len, matmul_f16_l_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_len, matmul_f16_m_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_len, matmul_f16_s_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 1); + + vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_len, matmul_f16_aligned_l_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_len, matmul_f16_aligned_m_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_len, matmul_f16_aligned_s_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_len, matmul_f16_f32_l_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_len, matmul_f16_f32_m_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_len, matmul_f16_f32_s_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 1); + vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_len, matmul_f16_f32_aligned_l_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_len, matmul_f16_f32_aligned_m_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_len, matmul_f16_f32_aligned_s_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 32); // Build dequant shaders vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline("f32_to_f16", f32_to_f16_len, f32_to_f16_data, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); @@ -779,27 +809,27 @@ static void ggml_vk_load_shaders() { vk_pipeline_get_rows_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("get_rows_q5_1_f32", get_rows_q5_1_f32_len, get_rows_q5_1_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); vk_pipeline_get_rows_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0_f32", get_rows_q8_0_f32_len, get_rows_q8_0_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); } else { - vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_fp32_len, matmul_f32_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_fp32_len, matmul_f32_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_fp32_len, matmul_f32_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 1); - vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_fp32_len, matmul_f32_aligned_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_fp32_len, matmul_f32_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_fp32_len, matmul_f32_aligned_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_fp32_len, matmul_f16_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_fp32_len, matmul_f16_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_fp32_len, matmul_f16_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 1); - - vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_fp32_len, matmul_f16_aligned_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_fp32_len, matmul_f16_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_fp32_len, matmul_f16_aligned_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_fp32_len, matmul_f16_f32_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_fp32_len, matmul_f16_f32_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_fp32_len, matmul_f16_f32_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 1); - vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_fp32_len, matmul_f16_f32_aligned_l_fp32_data, "main", 3, 7 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_fp32_len, matmul_f16_f32_aligned_m_fp32_data, "main", 3, 7 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_fp32_len, matmul_f16_f32_aligned_s_fp32_data, "main", 3, 7 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_fp32_len, matmul_f32_l_fp32_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_fp32_len, matmul_f32_m_fp32_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_fp32_len, matmul_f32_s_fp32_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 1); + vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_fp32_len, matmul_f32_aligned_l_fp32_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_fp32_len, matmul_f32_aligned_m_fp32_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_fp32_len, matmul_f32_aligned_s_fp32_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_fp32_len, matmul_f16_l_fp32_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_fp32_len, matmul_f16_m_fp32_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_fp32_len, matmul_f16_s_fp32_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 1); + + vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_fp32_len, matmul_f16_aligned_l_fp32_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_fp32_len, matmul_f16_aligned_m_fp32_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_fp32_len, matmul_f16_aligned_s_fp32_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_fp32_len, matmul_f16_f32_l_fp32_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_fp32_len, matmul_f16_f32_m_fp32_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_fp32_len, matmul_f16_f32_s_fp32_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 1); + vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_fp32_len, matmul_f16_f32_aligned_l_fp32_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_fp32_len, matmul_f16_f32_aligned_m_fp32_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_fp32_len, matmul_f16_f32_aligned_s_fp32_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 32); // Build dequant shaders vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline("f32_to_f16", f32_to_f16_fp32_len, f32_to_f16_fp32_data, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); @@ -832,37 +862,41 @@ static void ggml_vk_load_shaders() { vk_pipeline_get_rows_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0_f32", get_rows_q8_0_f32_fp32_len, get_rows_q8_0_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); } - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16", mul_mat_vec_f16_len, mul_mat_vec_f16_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0", mul_mat_vec_q4_0_len, mul_mat_vec_q4_0_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1", mul_mat_vec_q4_1_len, mul_mat_vec_q4_1_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0", mul_mat_vec_q5_0_len, mul_mat_vec_q5_0_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1", mul_mat_vec_q5_1_len, mul_mat_vec_q5_1_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0", mul_mat_vec_q8_0_len, mul_mat_vec_q8_0_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K", mul_mat_vec_q2_K_len, mul_mat_vec_q2_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K", mul_mat_vec_q3_K_len, mul_mat_vec_q3_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K", mul_mat_vec_q4_K_len, mul_mat_vec_q4_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K", mul_mat_vec_q5_K_len, mul_mat_vec_q5_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K", mul_mat_vec_q6_K_len, mul_mat_vec_q6_K_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16_f32", mul_mat_vec_f16_f32_len, mul_mat_vec_f16_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0_f32", mul_mat_vec_q4_0_f32_len, mul_mat_vec_q4_0_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1_f32", mul_mat_vec_q4_1_f32_len, mul_mat_vec_q4_1_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0_f32", mul_mat_vec_q5_0_f32_len, mul_mat_vec_q5_0_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1_f32", mul_mat_vec_q5_1_f32_len, mul_mat_vec_q5_1_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0_f32", mul_mat_vec_q8_0_f32_len, mul_mat_vec_q8_0_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K_f32", mul_mat_vec_q2_K_f32_len, mul_mat_vec_q2_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K_f32", mul_mat_vec_q3_K_f32_len, mul_mat_vec_q3_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K_f32", mul_mat_vec_q4_K_f32_len, mul_mat_vec_q4_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K_f32", mul_mat_vec_q5_K_f32_len, mul_mat_vec_q5_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K_f32", mul_mat_vec_q6_K_f32_len, mul_mat_vec_q6_K_f32_data, "main", 3, 1 * sizeof(int), {1, 1, 1}, {}, 1); - - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 3 * sizeof(int), {32, 32, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16", mul_mat_vec_f16_len, mul_mat_vec_f16_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0", mul_mat_vec_q4_0_len, mul_mat_vec_q4_0_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1", mul_mat_vec_q4_1_len, mul_mat_vec_q4_1_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0", mul_mat_vec_q5_0_len, mul_mat_vec_q5_0_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1", mul_mat_vec_q5_1_len, mul_mat_vec_q5_1_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0", mul_mat_vec_q8_0_len, mul_mat_vec_q8_0_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K", mul_mat_vec_q2_K_len, mul_mat_vec_q2_K_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K", mul_mat_vec_q3_K_len, mul_mat_vec_q3_K_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K", mul_mat_vec_q4_K_len, mul_mat_vec_q4_K_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K", mul_mat_vec_q5_K_len, mul_mat_vec_q5_K_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K", mul_mat_vec_q6_K_len, mul_mat_vec_q6_K_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16_f32", mul_mat_vec_f16_f32_len, mul_mat_vec_f16_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0_f32", mul_mat_vec_q4_0_f32_len, mul_mat_vec_q4_0_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1_f32", mul_mat_vec_q4_1_f32_len, mul_mat_vec_q4_1_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0_f32", mul_mat_vec_q5_0_f32_len, mul_mat_vec_q5_0_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1_f32", mul_mat_vec_q5_1_f32_len, mul_mat_vec_q5_1_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0_f32", mul_mat_vec_q8_0_f32_len, mul_mat_vec_q8_0_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K_f32", mul_mat_vec_q2_K_f32_len, mul_mat_vec_q2_K_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K_f32", mul_mat_vec_q3_K_f32_len, mul_mat_vec_q3_K_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K_f32", mul_mat_vec_q4_K_f32_len, mul_mat_vec_q4_K_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K_f32", mul_mat_vec_q5_K_f32_len, mul_mat_vec_q5_K_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K_f32", mul_mat_vec_q6_K_f32_len, mul_mat_vec_q6_K_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); + + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 4 * sizeof(int), {32, 32, 1}, {}, 1); + + vk_pipeline_mul_mat_vec_p021_f16_f32 = ggml_vk_create_pipeline("mul_mat_vec_p021_f16_f32", mul_mat_vec_p021_f16_f32_len, mul_mat_vec_p021_f16_f32_data, "main", 3, 6 * sizeof(uint32_t), {1, 1, 1}, {}, 1); + vk_pipeline_mul_mat_vec_nc_f16_f32 = ggml_vk_create_pipeline("mul_mat_vec_nc_f16_f32", mul_mat_vec_nc_f16_f32_len, mul_mat_vec_nc_f16_f32_data, "main", 3, 7 * sizeof(uint32_t), {1, 1, 1}, {}, 1); vk_pipeline_norm_f32 = ggml_vk_create_pipeline("norm_f32", norm_f32_len, norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1); vk_pipeline_rms_norm_f32 = ggml_vk_create_pipeline("rms_norm_f32", rms_norm_f32_len, rms_norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1); vk_pipeline_cpy_f32_f32 = ggml_vk_create_pipeline("cpy_f32_f32", cpy_f32_f32_len, cpy_f32_f32_data, "main", 2, sizeof(vk_op_cpy_push_constants), {512, 1, 1}, {}, 1); vk_pipeline_cpy_f32_f16 = ggml_vk_create_pipeline("cpy_f32_f16", cpy_f32_f16_len, cpy_f32_f16_data, "main", 2, sizeof(vk_op_cpy_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_cpy_f16_f16 = ggml_vk_create_pipeline("cpy_f16_f16", cpy_f16_f16_len, cpy_f16_f16_data, "main", 2, sizeof(vk_op_cpy_push_constants), {512, 1, 1}, {}, 1); vk_pipeline_add_f32 = ggml_vk_create_pipeline("add_f32", add_f32_len, add_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); @@ -873,6 +907,17 @@ static void ggml_vk_load_shaders() { vk_pipeline_sqr_f32 = ggml_vk_create_pipeline("sqr_f32", sqr_f32_len, sqr_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); vk_pipeline_clamp_f32 = ggml_vk_create_pipeline("clamp_f32", clamp_f32_len, clamp_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + + vk_pipeline_gelu_f32 = ggml_vk_create_pipeline("gelu_f32", gelu_f32_len, gelu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_silu_f32 = ggml_vk_create_pipeline("silu_f32", silu_f32_len, silu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + vk_pipeline_relu_f32 = ggml_vk_create_pipeline("relu_f32", relu_f32_len, relu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); + + vk_pipeline_diag_mask_inf_f32 = ggml_vk_create_pipeline("diag_mask_inf_f32", diag_mask_inf_f32_len, diag_mask_inf_f32_data, "main", 2, sizeof(vk_op_diag_mask_push_constants), {512, 1, 1}, {}, 1); + + vk_pipeline_soft_max_f32 = ggml_vk_create_pipeline("soft_max_f32", soft_max_f32_len, soft_max_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1); + + vk_pipeline_rope_f32 = ggml_vk_create_pipeline("rope_f32", rope_f32_len, rope_f32_data, "main", 3, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); + vk_pipeline_rope_f16 = ggml_vk_create_pipeline("rope_f16", rope_f16_len, rope_f16_data, "main", 3, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); } void ggml_vk_test_transfer(size_t ne); @@ -1038,6 +1083,7 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; ggml_vk_test_transfer(1024 * 1024 * m); } const std::vector vals { + 32000, 2, 4096, 4096, 2, 4096, 623, 111, 128, 100, 46, 558, @@ -1146,29 +1192,12 @@ static vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type, bool f16_ // buffer pool for vulkan #define MAX_VK_BUFFERS 256 -struct scoped_spin_lock { - std::atomic_flag& lock; - scoped_spin_lock(std::atomic_flag& lock) : lock(lock) { - while (lock.test_and_set(std::memory_order_acquire)) { - ; // spin - } - } - ~scoped_spin_lock() { - lock.clear(std::memory_order_release); - } - scoped_spin_lock(const scoped_spin_lock&) = delete; - scoped_spin_lock& operator=(const scoped_spin_lock&) = delete; -}; - static vk_buffer g_vk_buffer_pool[MAX_VK_BUFFERS]; -static std::atomic_flag g_vk_pool_lock = ATOMIC_FLAG_INIT; -static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf, vk::MemoryPropertyFlags alloc_flags) { +static vk_buffer ggml_vk_pool_malloc(size_t size, vk::MemoryPropertyFlags req_flags) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_pool_malloc(" << size << ", " << buf << ", " << to_string(alloc_flags) << ")" << std::endl; + std::cerr << "ggml_vk_pool_malloc(" << size << ", " << to_string(req_flags) << ")" << std::endl; #endif - scoped_spin_lock lock(g_vk_pool_lock); - int best_i = -1; size_t best_size = std::numeric_limits::max(); //smallest unused buffer that fits our needs int worst_i = -1; @@ -1186,10 +1215,9 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf, vk::MemoryPropertyF } if(best_i != -1) { //found the smallest buffer that fits our needs - vk_buffer& b = g_vk_buffer_pool[best_i]; - *buf = b; - b.size = 0; - return; + vk_buffer b = g_vk_buffer_pool[best_i]; + g_vk_buffer_pool[best_i].size = 0; + return b; } if(worst_i != -1) { //no buffer that fits our needs, resize largest one to save memory @@ -1197,15 +1225,13 @@ static void ggml_vk_pool_malloc(size_t size, vk_buffer* buf, vk::MemoryPropertyF ggml_vk_destroy_buffer(b); } - *buf = ggml_vk_create_buffer(size, vk::MemoryPropertyFlagBits::eDeviceLocal | alloc_flags); + return ggml_vk_create_buffer(size, vk::MemoryPropertyFlagBits::eDeviceLocal | req_flags); } static void ggml_vk_pool_free(vk_buffer& buffer) { #ifdef VK_DEBUG std::cerr << "ggml_vk_pool_free(" << buffer.size << ")" << std::endl; #endif - scoped_spin_lock lock(g_vk_pool_lock); - for (int i = 0; i < MAX_VK_BUFFERS; ++i) { vk_buffer& b = g_vk_buffer_pool[i]; if (b.size == 0) { @@ -1227,9 +1253,9 @@ void ggml_vk_free_data(const struct ggml_tensor* tensor) { return; } - vk_buffer& buf = *(vk_buffer *)tensor->data; - ggml_vk_destroy_buffer(buf); - free(tensor->data); + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; + ggml_vk_destroy_buffer(*extra->buffer_gpu); + free(extra->buffer_gpu); } void* ggml_vk_host_malloc(size_t size) { @@ -1447,10 +1473,10 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * memcpy((uint8_t *)dst->ptr + offset + i * width, (const uint8_t *) src + i * spitch, width); } } else { - vk::Fence fence = vk_device.device.createFence({}); std::vector s = { ggml_vk_buffer_write_2d_async(dst, offset, src, spitch, width, height, q, {}, {}, nullptr) }; - ggml_vk_submit(q, s, fence); - VK_CHECK(vk_device.device.waitForFences({ fence }, true, uint64_t(-1)), "vk_buffer_write_2d waitForFences"); + ggml_vk_submit(q, s, vk_fence); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "vk_buffer_write_2d waitForFences"); + vk_device.device.resetFences({ vk_fence }); } } @@ -1472,6 +1498,9 @@ static vk_sequence ggml_vk_buffer_read_2d_async(vk_buffer* src, size_t offset, v #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_read_2d_async()" << std::endl; #endif + GGML_ASSERT(width > 0); + GGML_ASSERT(height > 0); + GGML_ASSERT(src->size > 0); // Check if dst is pinned memory vk_buffer* buf = nullptr; size_t buf_offset = 0; @@ -1530,7 +1559,7 @@ static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_buffer_read(" << size << ")" << std::endl; + std::cerr << "ggml_vk_buffer_read(" << offset << ", " << size << ")" << std::endl; #endif if(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { GGML_ASSERT(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostCoherent); @@ -1599,6 +1628,23 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } } +static void ggml_vk_buffer_memset(vk_buffer* dst, size_t offset, uint32_t c, size_t size, vk_queue& q) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_buffer_memset(" << offset << ", " << c << ", " << size << ")" << std::endl; +#endif + vk_submission submission = ggml_vk_create_submission(q, {}, {}); + + submission.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + ggml_vk_sync_buffers(submission.buffer, { { *dst, (uint64_t)offset, (uint64_t)size } }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); + submission.buffer.fillBuffer(dst->buffer, offset, size, c); + submission.buffer.end(); + + std::vector s = { { submission } }; + ggml_vk_submit(q, s, vk_fence); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "vk_buffer_write_2d waitForFences"); + vk_device.device.resetFences({ vk_fence }); +} + static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer * dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission * s = nullptr, std::vector * pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_h2d_tensor_2d()" << std::endl; @@ -1662,7 +1708,7 @@ static int ggml_vk_guess_split_k(int m, int n, int k, bool aligned) { #ifdef VK_DEBUG std::cerr << "ggml_vk_guess_split_k(" << m << ", " << n << ", " << k << ", " << aligned << ")"; #endif - if (aligned && k > 128 && (m < 128 || n < 128)) { + if (aligned && k > 128 && (m < 128 || n < 128) && m > 2 && n > 2) { #ifdef VK_DEBUG std::cerr << " = 4" << std::endl; #endif @@ -1750,7 +1796,7 @@ static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16_x, bool bit16_y, in return aligned ? &vk_pipeline_matmul_f32_aligned_l : &vk_pipeline_matmul_f32_l; } -static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, int m, int n, int k, int stride_a, int stride_b, int stride_d, int split_k, vk_queue& q, std::vector wait_semaphores, std::vector signal_semaphores) { +static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& split_k_buffer, int m, int n, int k, int stride_a, int stride_b, int stride_d, int split_k, int d_offset, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_matmul(" << m << ", " << n << ", " << k << ")" << std::endl; #endif @@ -1758,138 +1804,84 @@ static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_su ggml_vk_sync_buffers(s.buffer, { a, b }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); if (split_k == 1) { ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); - const std::vector pc = { m, n, k, stride_a, stride_b, stride_d, k }; + const std::vector pc = { m, n, k, stride_a, stride_b, stride_d, k, d_offset }; ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc.size() * sizeof(int), pc.data(), { (uint32_t)m, (uint32_t)n, 1 }); ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); return { s }; } - vk_subbuffer split_k_buffer = ggml_vk_subbuffer(vk_prealloc_split_k); ggml_vk_sync_buffers(s.buffer, { split_k_buffer }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); // Synchronize the two submissions - const std::vector pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k) }; + const std::array pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k), 0 }; ggml_vk_dispatch_pipeline(s, pipeline, { a, b, split_k_buffer }, pc1.size() * sizeof(int), pc1.data(), { (uint32_t)m * split_k, (uint32_t)n, 1 }); ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, true); - const std::vector pc2 = { m, n, split_k }; + const std::array pc2 = { m, n, split_k, d_offset }; ggml_vk_dispatch_pipeline(s, vk_pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(int), pc2.data(), { (uint32_t)m, (uint32_t)n, 1 }); ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); return { s }; } -static void ggml_vk_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_f32((" << src0 << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; - std::cerr << "), (" << src1 << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; - std::cerr << "), (" << dst << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; -#endif - const int64_t ne00 = src0->ne[0]; - const int64_t ne01 = src0->ne[1]; - const int64_t ne02 = src0->ne[2]; - const int64_t ne03 = src0->ne[3]; - - const int64_t ne10 = src1->ne[0]; - const int64_t ne11 = src1->ne[1]; - const int64_t ne12 = src1->ne[2]; - const int64_t ne13 = src1->ne[3]; - - const int nb2 = dst->nb[2]; - const int nb3 = dst->nb[3]; - - const int64_t r2 = ne12 / ne02; - const int64_t r3 = ne13 / ne03; - - const int x_ne = ne01 * ne00; - const int y_ne = ne11 * ne10; - const int d_ne = ne11 * ne01; - - const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); - const bool aligned = ne10 == kpad; - - const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10, aligned); - - const bool load_x = src0->backend == GGML_BACKEND_GPU; - - vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(false, false, ne01, ne11, aligned); - - const uint32_t x_sz = ggml_vk_align_size(sizeof(float) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t y_sz = ggml_vk_align_size(sizeof(float) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - - ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; - - GGML_ASSERT(extra->comp_seqs.empty()); +static bool ggml_vk_dim01_contiguous(const ggml_tensor * tensor) { + return + tensor->nb[0] == ggml_type_size(tensor->type) && + tensor->nb[1] == (tensor->nb[0]*tensor->ne[0])/ggml_blck_size(tensor->type) && + tensor->nb[3] == tensor->nb[2]*tensor->ne[2]; +} - vk_buffer* d_D = &vk_prealloc_d_buffers[extra->d_idx]; - vk_buffer* d_X; - vk_buffer* d_Y; - if (load_x) { - d_X = &vk_prealloc_qx; - } else { - d_X = (vk_buffer *) src0->data; +static vk_pipeline * ggml_vk_get_cpy_pipeline(ggml_type from, ggml_type to) { + if (from == GGML_TYPE_F32 && to == GGML_TYPE_F32) { + return &vk_pipeline_cpy_f32_f32; } - d_Y = &vk_prealloc_qy; - - // Allocate descriptor sets - ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne12 * ne13); - if (split_k > 1) { - ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne12 * ne13); + if (from == GGML_TYPE_F32 && to == GGML_TYPE_F16) { + return &vk_pipeline_cpy_f32_f16; } - - std::vector x_semaphores; - - if (load_x) { - for (int64_t i03 = 0; i03 < ne03; i03++) { - for (int64_t i02 = 0; i02 < ne02; i02++) { - const uint32_t x_offset = load_x ? x_sz * (i03 * ne02 + i02) : 0; - // copy data to device - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - x_semaphores.push_back({ sem->s, sem->value + 1 }); - // Wait for previous matmul to be done before writing to the input buffers again - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, x_offset, src0, i03, i02, ne01, vk_device.transfer_queues[0], {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); - sem->value += 1; - } - } + if (from == GGML_TYPE_F16 && to == GGML_TYPE_F16) { + return &vk_pipeline_cpy_f16_f16; } - for (int64_t i13 = 0; i13 < ne13; i13++) { - const int64_t i03 = i13 / r3; - for (int64_t i12 = 0; i12 < ne12; i12++) { - const int64_t i02 = i12 / r2; - - const uint32_t x_offset = load_x ? x_sz * (i03 * ne02 + i02) : 0; - const uint32_t y_offset = y_sz * (i13 * ne12 + i12); - const uint32_t d_offset = d_sz * (i13 * ne12 + i12); + std::cerr << "Missing CPY op for types: " << ggml_type_name(from) << " " << ggml_type_name(to) << std::endl; + GGML_ASSERT(false); +} - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - std::vector semaphores = { { sem->s, sem->value + 1 } }; +static void ggml_vk_cpy_to_contiguous(vk_pipeline * pipeline, ggml_vk_tensor_extra_gpu * extra, const ggml_tensor * tensor, vk_subbuffer&& in, vk_subbuffer&& out, ggml_type buffer_type, std::vector&& wait_semaphores, std::vector&& signal_semaphores, bool aligned=true) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_cpy_to_contiguous((" << tensor << ", type=" << tensor->type << ", backend=" << tensor->backend << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << "), "; + std::cerr << "buffer in size=" << in.buffer.size << ", buffer out size=" << out.buffer.size << ")" << std::endl; +#endif + vk_queue& compq = vk_device.compute_queue; - if (load_x) { - semaphores.push_back(x_semaphores[i03 * ne02 + i02]); - } + const int tensor_type_size = ggml_type_size(tensor->type); + const int dst_type_size = ggml_type_size(buffer_type); - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, y_offset, src1, i13, i12, ne11, vk_device.transfer_queues[1], {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); + const uint32_t ne = tensor->ne[0] * tensor->ne[1] * tensor->ne[2]; - // compute - extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, vk_device.compute_queue, std::move(semaphores), { { sem->s, sem->value + 2 } })); + const uint32_t nb2 = aligned ? ggml_vk_align_size(dst_type_size * tensor->ne[0] * tensor->ne[1], vk_device.properties.limits.minStorageBufferOffsetAlignment) / dst_type_size : tensor->ne[0] * tensor->ne[1]; - if (dst->backend == GGML_BACKEND_CPU) { - // copy dst to host - float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, vk_device.transfer_queues[1], { { sem->s, sem->value + 2 } }, {})); - } + vk_submission s = ggml_vk_begin_submission(compq); + const vk_op_cpy_push_constants pc = { + (uint32_t)ne, + (uint32_t)tensor->ne[0], (uint32_t)tensor->ne[1], (uint32_t)tensor->nb[0] / tensor_type_size, (uint32_t)tensor->nb[1] / tensor_type_size, (uint32_t)tensor->nb[2] / tensor_type_size, + (uint32_t)tensor->ne[0], (uint32_t)tensor->ne[1], 1 , (uint32_t)tensor->ne[0] , nb2, + 0, + }; + ggml_vk_sync_buffers(s.buffer, { in }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { out }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *pipeline, { in, out }, sizeof(vk_op_cpy_push_constants), &pc, { ne, 1, 1}); + ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); - sem->value += 2; - } - } + extra->comp_seqs.push_back({ s }); } static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_q_f16((" << src0 << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; - std::cerr << "), (" << src1 << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; - std::cerr << "), (" << dst << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; + std::cerr << "ggml_vk_mul_mat_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; + std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; #endif + GGML_ASSERT(ggml_vk_dim01_contiguous(src0) || src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16); // NOLINT + GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16); // NOLINT + const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; const int64_t ne02 = src0->ne[2]; @@ -1909,14 +1901,21 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * vk_queue& compq = vk_device.compute_queue; vk_queue& tr0q = vk_device.transfer_queues[0]; vk_queue& tr1q = vk_device.transfer_queues[1]; - const bool f16_f32_kernel = src1->type == GGML_TYPE_F32; - - const bool qx_needs_dequant = src0->type != GGML_TYPE_F16; - const bool qy_needs_dequant = src1->type != GGML_TYPE_F16 && !f16_f32_kernel; const bool load_x = src0->backend != GGML_BACKEND_GPU; const bool load_y = src1->backend != GGML_BACKEND_GPU; + const bool x_non_contig = !load_x && !ggml_vk_dim01_contiguous(src0); + const bool y_non_contig = !load_y && !ggml_vk_dim01_contiguous(src1); + + const bool f16_f32_kernel = src1->type == GGML_TYPE_F32 && !y_non_contig; + + const bool qx_needs_dequant = src0->type != GGML_TYPE_F16 || x_non_contig; + const bool qy_needs_dequant = (src1->type != GGML_TYPE_F16 && !f16_f32_kernel) || y_non_contig; + + // Not implemented + GGML_ASSERT(y_non_contig || !qy_needs_dequant); // NOLINT + const int x_ne = ne01 * ne00; const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; @@ -1928,11 +1927,11 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, !f16_f32_kernel, ne01, ne11, aligned); - const uint32_t qx_sz = ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t qy_sz = ggml_vk_align_size(ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t x_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t y_sz = ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint64_t qx_sz = ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint64_t qy_sz = ggml_vk_align_size(ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint64_t x_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint64_t y_sz = ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint64_t d_sz = sizeof(float) * d_ne; if (dst->backend == GGML_BACKEND_GPU) { if (d_sz != nb2) { @@ -1942,32 +1941,45 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; + ggml_vk_tensor_extra_gpu * extra_src0 = (ggml_vk_tensor_extra_gpu *) src0->extra; + ggml_vk_tensor_extra_gpu * extra_src1 = (ggml_vk_tensor_extra_gpu *) src1->extra; GGML_ASSERT(extra->comp_seqs.empty()); - vk_buffer* d_D = &vk_prealloc_d_buffers[extra->d_idx]; - GGML_ASSERT(d_D->size >= d_sz * ne02 * ne03); + vk_buffer* d_D = extra->buffer_gpu; + const uint64_t d_buf_offset = extra->offset; + GGML_ASSERT(d_D != nullptr); + GGML_ASSERT(d_D->size >= d_buf_offset + d_sz * ne02 * ne03); vk_buffer* d_Qx; + uint32_t qx_buf_offset = 0; vk_buffer* d_Qy; + uint32_t qy_buf_offset = 0; vk_buffer* d_X; + uint64_t x_buf_offset = 0; vk_buffer* d_Y; + uint64_t y_buf_offset = 0; if (load_x) { d_Qx = &vk_prealloc_qx; GGML_ASSERT(d_Qx->size >= qx_sz * ne02 * ne03); } else { - d_Qx = (vk_buffer *) src0->data; + d_Qx = extra_src0->buffer_gpu; + qx_buf_offset = extra_src0->offset; + GGML_ASSERT(d_Qx != nullptr); } if (load_y) { d_Qy = &vk_prealloc_qy; GGML_ASSERT(d_Qy->size >= qy_sz * ne02 * ne03); } else { - d_Qy = (vk_buffer *) src1->data; + d_Qy = extra_src1->buffer_gpu; + qy_buf_offset = extra_src1->offset; + GGML_ASSERT(d_Qy != nullptr); } if (qx_needs_dequant) { d_X = &vk_prealloc_x; GGML_ASSERT(d_X->size >= x_sz * ne02 * ne03); } else { d_X = d_Qx; + x_buf_offset = qx_buf_offset; GGML_ASSERT(qx_sz == x_sz); // NOLINT } if (qy_needs_dequant) { @@ -1975,66 +1987,91 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * GGML_ASSERT(d_Y->size >= y_sz * ne02 * ne03); } else { d_Y = d_Qy; + y_buf_offset = qy_buf_offset; GGML_ASSERT(qy_sz == y_sz); } - vk_pipeline* to_fp16_vk_0 = ggml_vk_get_to_fp16(src0->type); - vk_pipeline* to_fp16_vk_1 = ggml_vk_get_to_fp16(src1->type); + vk_pipeline * to_fp16_vk_0 = nullptr; + vk_pipeline * to_fp16_vk_1 = nullptr; + + if (x_non_contig) { + to_fp16_vk_0 = ggml_vk_get_cpy_pipeline(src0->type, GGML_TYPE_F16); + } else { + to_fp16_vk_0 = ggml_vk_get_to_fp16(src0->type); + } + if (x_non_contig) { + to_fp16_vk_1 = ggml_vk_get_cpy_pipeline(src1->type, GGML_TYPE_F16); + } else { + to_fp16_vk_1 = ggml_vk_get_to_fp16(src1->type); + } GGML_ASSERT(!qx_needs_dequant || to_fp16_vk_0 != nullptr); // NOLINT GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr); // NOLINT // Allocate descriptor sets ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne12 * ne13); if (qx_needs_dequant) { - ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_0, ne12 * ne13); + ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_0, x_non_contig ? 1 : ne12 * ne13); } if (qy_needs_dequant) { - ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_1, ne12 * ne13); + ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_1, y_non_contig ? 1 : ne12 * ne13); } if (split_k > 1) { ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne12 * ne13); } std::vector x_semaphores; + vk_semaphore y_semaphore; + + if (x_non_contig) { + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); + ggml_vk_cpy_to_contiguous(to_fp16_vk_0, extra, src0, { *d_Qx, qx_buf_offset, VK_WHOLE_SIZE }, { *d_X, 0, VK_WHOLE_SIZE }, dst->type, {}, { { sem->s, sem->value + 1 } }); + x_semaphores.push_back({ sem->s, sem->value + 1 }); + sem->value += 1; + } else if (load_x || qx_needs_dequant) { + for (int64_t i03 = 0; i03 < ne03; i03++) { + for (int64_t i02 = 0; i02 < ne02; i02++) { + const uint32_t it_idx0 = (i03 * ne02 + i02); + const uint32_t qx_offset = qx_sz * it_idx0; + const uint32_t x_offset = x_sz * it_idx0; - for (int64_t i03 = 0; i03 < ne03; i03++) { - for (int64_t i02 = 0; i02 < ne02; i02++) { - const uint32_t it_idx0 = (i03 * ne02 + i02); - const uint32_t qx_offset = qx_sz * it_idx0; - const uint32_t x_offset = x_sz * it_idx0; - - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - - if (load_x) { - // copy data to device - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, ne01, tr0q, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); - } + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - if (qx_needs_dequant) { - vk_submission s = ggml_vk_begin_submission(compq); - const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_offset, qx_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *to_fp16_vk_0, { { *d_Qx, qx_offset, qx_sz }, { *d_X, x_offset, x_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); if (load_x) { - ggml_vk_end_submission(s, { { sem->s, sem->value + 1 } }, { { sem->s, sem->value + 2 } }); - } else { - ggml_vk_end_submission(s, {}, { { sem->s, sem->value + 2 } }); + // copy data to device + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, ne01, tr0q, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); } - extra->comp_seqs.push_back({ s }); + if (qx_needs_dequant) { + vk_submission s = ggml_vk_begin_submission(compq); + const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; + ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_buf_offset + qx_offset, qx_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *to_fp16_vk_0, { { *d_Qx, qx_buf_offset + qx_offset, qx_sz }, { *d_X, x_offset, x_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); + if (load_x) { + ggml_vk_end_submission(s, { { sem->s, sem->value + 1 } }, { { sem->s, sem->value + 2 } }); + } else { + ggml_vk_end_submission(s, {}, { { sem->s, sem->value + 2 } }); + } + + extra->comp_seqs.push_back({ s }); - x_semaphores.push_back({ sem->s, sem->value + 2 }); - } else if (load_x) { - x_semaphores.push_back({ sem->s, sem->value + 1 }); - } else { - x_semaphores.push_back({ sem->s, sem->value }); - } + x_semaphores.push_back({ sem->s, sem->value + 2 }); + } else if (load_x) { + x_semaphores.push_back({ sem->s, sem->value + 1 }); + } - sem->value += 2; + sem->value += 2; + } } } + if (y_non_contig) { + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); + ggml_vk_cpy_to_contiguous(to_fp16_vk_1, extra, src1, { *d_Qy, qy_buf_offset, VK_WHOLE_SIZE }, { *d_Y, 0, VK_WHOLE_SIZE }, dst->type, {}, { { sem->s, sem->value + 1 } }); + y_semaphore = { sem->s, sem->value + 1 }; + sem->value += 1; + } + for (int64_t i13 = 0; i13 < ne13; i13++) { const int64_t i03 = i13 / r3; for (int64_t i12 = 0; i12 < ne12; i12++) { @@ -2047,27 +2084,35 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const uint32_t y_offset = y_sz * it_idx1; const uint32_t d_offset = d_sz * it_idx1; + const uint32_t d_buffer_offset = (d_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint32_t d_shader_offset = d_offset - d_buffer_offset; + + const uint32_t split_k_d_buffer_offset = ((d_offset * split_k) / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint32_t split_k_d_shader_offset = (d_offset * split_k) - d_buffer_offset; + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); std::vector mm_semaphores; - if (load_x) { + if (x_non_contig) { + mm_semaphores.push_back(x_semaphores[0]); + } else if (load_x || qx_needs_dequant) { mm_semaphores.push_back(x_semaphores[it_idx0]); } - if (load_y) { - // Set semaphore to 1 + if (y_non_contig) { + mm_semaphores.push_back(y_semaphore); + } else if (load_y) { extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, ne11, tr1q, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); - // Wait for semaphore val 1 mm_semaphores.push_back({ sem->s, sem->value + 1 }); } // compute - extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, compq, std::move(mm_semaphores), { { sem->s, sem->value + 2 } })); + extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buf_offset + d_buffer_offset, d_sz + d_shader_offset }, { vk_prealloc_split_k, split_k_d_shader_offset, d_sz * split_k }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, d_shader_offset, compq, std::move(mm_semaphores), { { sem->s, sem->value + 2 } })); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, tr1q, { { sem->s, sem->value + 2 } }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_buf_offset + d_offset, d, sizeof(float) * d_ne, tr1q, { { sem->s, sem->value + 2 } }, {})); } sem->value += 2; @@ -2077,10 +2122,13 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_mul_mat_vec_q_f16((" << src0 << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; - std::cerr << "), (" << src1 << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; - std::cerr << "), (" << dst << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; + std::cerr << "ggml_vk_mul_mat_vec_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; + std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; #endif + GGML_ASSERT(ggml_vk_dim01_contiguous(src0) || src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16); // NOLINT + GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16); // NOLINT + const int64_t ne00 = src0->ne[0]; const int64_t ne01 = src0->ne[1]; const int64_t ne02 = src0->ne[2]; @@ -2100,56 +2148,111 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const int64_t r2 = ne12 / ne02; const int64_t r3 = ne13 / ne03; + const bool load_y = src1->backend != GGML_BACKEND_GPU; + + const bool x_non_contig = !ggml_vk_dim01_contiguous(src0); + const bool y_non_contig = !load_y && !ggml_vk_dim01_contiguous(src1); + + GGML_ASSERT(!x_non_contig || !ggml_is_quantized(src0->type)); // NOLINT + vk_queue& compq = vk_device.compute_queue; const bool f16_f32_kernel = src1->type == GGML_TYPE_F32; - const bool qy_needs_dequant = src1->type != GGML_TYPE_F16 && !f16_f32_kernel; - - const bool load_y = src1->backend != GGML_BACKEND_GPU; + const bool qx_needs_dequant = x_non_contig; + const bool qy_needs_dequant = (src1->type != GGML_TYPE_F16 && !f16_f32_kernel) || y_non_contig; const int x_ne = ne01 * ne00; const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; - const uint32_t qx_sz = ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t qy_sz = ggml_vk_align_size(ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t y_sz = ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t d_sz = ggml_vk_align_size(sizeof(float) * d_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - - GGML_ASSERT(qy_sz == src1->nb[2]); + const uint64_t qx_sz = ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint64_t qy_sz = ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type); + const uint64_t x_sz = x_non_contig ? ggml_vk_align_size(ggml_type_size(src0->type) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) : qx_sz; + const uint64_t y_sz = f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne; + const uint64_t d_sz = sizeof(float) * d_ne; ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; + ggml_vk_tensor_extra_gpu * extra_src0 = (ggml_vk_tensor_extra_gpu *) src0->extra; + ggml_vk_tensor_extra_gpu * extra_src1 = (ggml_vk_tensor_extra_gpu *) src1->extra; GGML_ASSERT(extra->comp_seqs.empty()); - vk_buffer* d_D = &vk_prealloc_d_buffers[extra->d_idx]; + vk_buffer* d_D = extra->buffer_gpu; + const uint64_t d_buf_offset = extra->offset; + GGML_ASSERT(d_D != nullptr); vk_buffer* d_Qx; + const uint32_t qx_buf_offset = extra_src0->offset; vk_buffer* d_Qy; + uint32_t qy_buf_offset = 0; + vk_buffer* d_X; + uint64_t x_buf_offset = 0; vk_buffer* d_Y; - d_Qx = (vk_buffer *) src0->data; + uint64_t y_buf_offset = 0; + d_Qx = extra_src0->buffer_gpu; + GGML_ASSERT(d_Qx != nullptr); if (load_y) { d_Qy = &vk_prealloc_qy; } else { - d_Qy = (vk_buffer *) src1->data; + d_Qy = extra_src1->buffer_gpu; + qy_buf_offset = extra_src1->offset; + GGML_ASSERT(d_Qx != nullptr); + } + if (qx_needs_dequant) { + d_X = &vk_prealloc_x; + } else { + d_X = d_Qx; + x_buf_offset = qx_buf_offset; + GGML_ASSERT(qx_sz == x_sz); } if (qy_needs_dequant) { d_Y = &vk_prealloc_y; } else { d_Y = d_Qy; + y_buf_offset = qy_buf_offset; GGML_ASSERT(qy_sz == y_sz); } - vk_pipeline* to_fp16_vk_1 = ggml_vk_get_to_fp16(src1->type); + vk_pipeline * to_fp16_vk_0 = nullptr; + vk_pipeline* to_fp16_vk_1 = nullptr; + if (x_non_contig) { + to_fp16_vk_0 = ggml_vk_get_cpy_pipeline(src0->type, src0->type); + } + if (y_non_contig) { + to_fp16_vk_1 = ggml_vk_get_cpy_pipeline(src1->type, src1->type); + } else { + to_fp16_vk_1 = ggml_vk_get_to_fp16(src1->type); + } vk_pipeline* dmmv = ggml_vk_get_dequantize_mul_mat_vec(src0->type, !f16_f32_kernel); + GGML_ASSERT(!qx_needs_dequant || to_fp16_vk_0 != nullptr); // NOLINT GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr); // NOLINT GGML_ASSERT(dmmv != nullptr); // Allocate descriptor sets + if (qx_needs_dequant) { + ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_0, 1); + } if (qy_needs_dequant) { - ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_1, ne12 * ne13); + ggml_vk_pipeline_allocate_descriptor_sets(*to_fp16_vk_1, y_non_contig ? 1 : ne12 * ne13); } ggml_vk_pipeline_allocate_descriptor_sets(*dmmv, ne12 * ne13); + std::vector semaphores; + + if (x_non_contig) { + GGML_ASSERT(x_sz == ggml_vk_align_size(ggml_type_size(src0->type) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment)); + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); + ggml_vk_cpy_to_contiguous(to_fp16_vk_0, extra, src0, { *d_Qx, qx_buf_offset, VK_WHOLE_SIZE }, { *d_X, 0, VK_WHOLE_SIZE }, src0->type, {}, { { sem->s, sem->value + 1 } }); + semaphores.push_back({ sem->s, sem->value + 1 }); + sem->value += 1; + } + if (y_non_contig) { + GGML_ASSERT(y_sz == ggml_type_size(src1->type) * y_ne); + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); + ggml_vk_cpy_to_contiguous(to_fp16_vk_1, extra, src1, { *d_Qy, qy_buf_offset, VK_WHOLE_SIZE }, { *d_Y, 0, VK_WHOLE_SIZE }, src1->type, {}, { { sem->s, sem->value + 1 } }, false); + semaphores.push_back({ sem->s, sem->value + 1 }); + sem->value += 1; + } + for (int64_t i13 = 0; i13 < ne13; i13++) { const int64_t i03 = i13 / r3; for (int64_t i12 = 0; i12 < ne12; i12++) { @@ -2157,19 +2260,24 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const uint32_t it_idx0 = (i03 * ne02 + i02); const uint32_t it_idx1 = (i13 * ne12 + i12); - const uint32_t qx_offset = qx_sz * it_idx0; - const uint32_t qy_offset = qy_sz * it_idx1; - const uint32_t y_offset = y_sz * it_idx1; - const uint32_t d_offset = d_sz * it_idx1; + const uint32_t x_offset = x_buf_offset + x_sz * it_idx0; + const uint32_t qy_offset = qy_buf_offset + qy_sz * it_idx1; + const uint32_t y_offset = y_buf_offset + y_sz * it_idx1; + const uint32_t d_offset = d_buf_offset + d_sz * it_idx1; + + const uint32_t y_buffer_offset = (y_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint32_t y_shader_offset = y_offset - y_buffer_offset; + + const uint32_t d_buffer_offset = (d_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint32_t d_shader_offset = d_offset - d_buffer_offset; vk_submission s = ggml_vk_begin_submission(compq); - vk_semaphore s_x; if (load_y) { ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, ne11, compq, {}, {}, &s, &extra->memcpys); } - if (qy_needs_dequant) { + if (!y_non_contig && qy_needs_dequant) { const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; ggml_vk_sync_buffers(s.buffer, { { *d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); ggml_vk_sync_buffers(s.buffer, { { *d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); @@ -2177,57 +2285,242 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso } // compute - const int ncols = ne00; - ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_offset, qx_sz }, { *d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - ggml_vk_sync_buffers(s.buffer, { { *d_D, d_offset, d_sz } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *dmmv, { { *d_Qx, qx_offset, qx_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz } }, sizeof(int), &ncols, { (uint32_t)ne01, 1, 1}); + const std::array pc = { (int)ne00, (int)(y_shader_offset / ggml_type_size(src1->type)), (int)(d_shader_offset / ggml_type_size(dst->type))}; + ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *dmmv, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 3 * sizeof(int), &pc, { (uint32_t)ne01, 1, 1}); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - ggml_vk_sync_buffers(s.buffer, { { *d_D, d_offset, d_sz } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); + ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, compq, {}, {}, &s); } - ggml_vk_end_submission(s, {}, {}); + ggml_vk_end_submission(s, semaphores, {}); extra->comp_seqs.push_back({ s }); } } } -static bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { +static void ggml_vk_mul_mat_vec_p021_f16_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_mul_mat_p021_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; + std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; +#endif + GGML_ASSERT(ggml_is_permuted(src0) && ggml_is_permuted(src1)); + GGML_ASSERT(src0->backend == GGML_BACKEND_GPU); + GGML_ASSERT(src0->nb[0] <= src0->nb[1] && src0->nb[2] <= src0->nb[3]); // NOLINT + GGML_ASSERT(src1->nb[0] <= src1->nb[1] && src1->nb[2] <= src1->nb[3]); // NOLINT + GGML_ASSERT(src0->type == GGML_TYPE_F16); + GGML_ASSERT(src1->type == GGML_TYPE_F32); + + const int64_t ne00 = src0->ne[0]; + const int64_t ne01 = src0->ne[1]; + const int64_t ne02 = src0->ne[2]; + const int64_t ne03 = src0->ne[3]; + const int64_t ne10 = src1->ne[0]; + const int64_t ne11 = src1->ne[1]; + const int64_t ne12 = src1->ne[2]; + const int64_t ne13 = src1->ne[3]; - const int64_t ne0 = dst->ne[0]; - const int64_t ne1 = dst->ne[1]; + GGML_ASSERT(ne11 == 1); + + const int nb2 = dst->nb[2]; + const int nb3 = dst->nb[3]; + + const bool load_y = src1->backend != GGML_BACKEND_GPU; + + vk_queue& compq = vk_device.compute_queue; + + const uint64_t x_ne = ne00 * ne01 * ne02; + const uint64_t y_ne = ne10 * ne11 * ne12; + const uint64_t d_ne = ne01 * ne11 * ne12; + + const uint64_t qx_sz = ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint64_t qy_sz = ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type); + const uint64_t d_sz = sizeof(float) * d_ne; + + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; + ggml_vk_tensor_extra_gpu * extra_src0 = (ggml_vk_tensor_extra_gpu *) src0->extra; + ggml_vk_tensor_extra_gpu * extra_src1 = (ggml_vk_tensor_extra_gpu *) src1->extra; + + GGML_ASSERT(extra->comp_seqs.empty()); + + vk_buffer* d_D = extra->buffer_gpu; + const uint64_t d_buf_offset = extra->offset; + GGML_ASSERT(d_D != nullptr); + vk_buffer* d_Qx; + const uint32_t qx_buf_offset = extra_src0->offset; + vk_buffer* d_Qy; + uint32_t qy_buf_offset = 0; + d_Qx = extra_src0->buffer_gpu; + GGML_ASSERT(d_Qx != nullptr); + if (load_y) { + d_Qy = &vk_prealloc_qy; + } else { + d_Qy = extra_src1->buffer_gpu; + qy_buf_offset = extra_src1->offset; + GGML_ASSERT(d_Qx != nullptr); + } + + // Allocate descriptor sets + ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_mul_mat_vec_p021_f16_f32, 1); + + const uint32_t qy_buffer_offset = (qy_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint32_t qy_shader_offset = qy_buf_offset - qy_buffer_offset; + + const uint32_t d_buffer_offset = (d_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint32_t d_shader_offset = d_buf_offset - d_buffer_offset; + + vk_submission s = ggml_vk_begin_submission(compq); - if ((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && - (src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16 || ggml_is_quantized(src1->type)) && - dst->type == GGML_TYPE_F16 && - ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_GPU)) { - std::cerr << "FP16 dst required" << std::endl; + if (load_y) { + ggml_vk_h2d_tensor_2d(d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq, {}, {}, &s, &extra->memcpys); } - // TODO: find the optimal values for these - if ((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && - (src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16 || ggml_is_quantized(src1->type)) && - dst->type == GGML_TYPE_F32 && - ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_GPU)) { - return true; + // compute + const std::array pc = { (uint32_t)ne00, (uint32_t)ne01, (uint32_t)ne02, (uint32_t)ne12, (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) }; + ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_mat_vec_p021_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 6 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); + + if (dst->backend == GGML_BACKEND_CPU) { + // copy dst to host + float * d = (float *) dst->data; + ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); + ggml_vk_buffer_read_async(d_D, d_buf_offset, d, sizeof(float) * d_ne, compq, {}, {}, &s); + } + + ggml_vk_end_submission(s, {}, {}); + + extra->comp_seqs.push_back({ s }); +} + +static void ggml_vk_mul_mat_vec_nc_f16_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_mul_mat_nc_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; + std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl; +#endif + GGML_ASSERT(!ggml_is_transposed(src0)); + GGML_ASSERT(!ggml_is_transposed(src1)); + GGML_ASSERT(!ggml_is_permuted(src0)); + GGML_ASSERT(src0->backend == GGML_BACKEND_GPU); + GGML_ASSERT(src0->type == GGML_TYPE_F16); + GGML_ASSERT(src1->type == GGML_TYPE_F32); + + const int64_t ne00 = src0->ne[0]; + const int64_t ne01 = src0->ne[1]; + const int64_t ne02 = src0->ne[2]; + const int64_t ne03 = src0->ne[3]; + + const int64_t nb01 = src0->nb[1]; + const int64_t nb02 = src0->nb[2]; + + const int64_t ne10 = src1->ne[0]; + const int64_t ne11 = src1->ne[1]; + const int64_t ne12 = src1->ne[2]; + const int64_t ne13 = src1->ne[3]; + + GGML_ASSERT(ne11 == 1); + + const int nb2 = dst->nb[2]; + const int nb3 = dst->nb[3]; + + const bool load_y = src1->backend != GGML_BACKEND_GPU; + + vk_queue& compq = vk_device.compute_queue; + + const uint64_t d_ne = ne01 * ne11 * ne12; + + const uint32_t row_stride_x = nb01 / sizeof(ggml_fp16_t); + const uint32_t channel_stride_x = nb02 / sizeof(ggml_fp16_t); + + const uint64_t qx_sz = ggml_nbytes(src0); + const uint64_t qy_sz = ggml_nbytes(src1); + const uint64_t d_sz = sizeof(float) * d_ne; + + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; + ggml_vk_tensor_extra_gpu * extra_src0 = (ggml_vk_tensor_extra_gpu *) src0->extra; + ggml_vk_tensor_extra_gpu * extra_src1 = (ggml_vk_tensor_extra_gpu *) src1->extra; + + GGML_ASSERT(extra->comp_seqs.empty()); + + vk_buffer* d_D = extra->buffer_gpu; + const uint64_t d_buf_offset = extra->offset; + GGML_ASSERT(d_D != nullptr); + vk_buffer* d_Qx; + const uint32_t qx_buf_offset = extra_src0->offset; + vk_buffer* d_Qy; + uint32_t qy_buf_offset = 0; + d_Qx = extra_src0->buffer_gpu; + GGML_ASSERT(d_Qx != nullptr); + if (load_y) { + d_Qy = &vk_prealloc_qy; + } else { + d_Qy = extra_src1->buffer_gpu; + qy_buf_offset = extra_src1->offset; + GGML_ASSERT(d_Qx != nullptr); } - return false; + // Allocate descriptor sets + ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_mul_mat_vec_nc_f16_f32, 1); + + const uint32_t qy_buffer_offset = (qy_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint32_t qy_shader_offset = qy_buf_offset - qy_buffer_offset; + + const uint32_t d_buffer_offset = (d_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint32_t d_shader_offset = d_buf_offset - d_buffer_offset; + + vk_submission s = ggml_vk_begin_submission(compq); + + if (load_y) { + ggml_vk_h2d_tensor_2d(d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq, {}, {}, &s, &extra->memcpys); + } + + // compute + const std::array pc = { (uint32_t)ne00, (uint32_t)ne01, row_stride_x, channel_stride_x, (uint32_t)(ne12 / ne02), (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) }; + ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_mat_vec_nc_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 7 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); + + if (dst->backend == GGML_BACKEND_CPU) { + // copy dst to host + float * d = (float *) dst->data; + ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); + ggml_vk_buffer_read_async(d_D, d_buf_offset, d, sizeof(float) * d_ne, compq, {}, {}, &s); + } + + ggml_vk_end_submission(s, {}, {}); + + extra->comp_seqs.push_back({ s }); +} + +bool ggml_vk_can_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * dst) { + const int64_t ne10 = src1->ne[0]; + + const int64_t ne0 = dst->ne[0]; + const int64_t ne1 = dst->ne[1]; + + // TODO: find the optimal values for these + return (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && + (src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16 || ggml_is_quantized(src1->type)) && + dst->type == GGML_TYPE_F32 && + ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_GPU); } static void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat(" << src0 << ", " << src1 << ", " << dst << ")" << std::endl; #endif - GGML_ASSERT(ggml_vk_can_mul_mat(src0, src1, dst)); - - if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32) { - ggml_vk_mul_mat_f32(src0, src1, dst); + if (src0->type == GGML_TYPE_F16 && ggml_is_permuted(src0) && ggml_is_permuted(src1) && src1->ne[1] == 1) { + ggml_vk_mul_mat_vec_p021_f16_f32(src0, src1, dst); + } else if (src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && src1->ne[1] == 1) { + ggml_vk_mul_mat_vec_nc_f16_f32(src0, src1, dst); } else if (src1->ne[1] == 1 && (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type))) { ggml_vk_mul_mat_vec_q_f16(src0, src1, dst); } else { @@ -2269,9 +2562,12 @@ static void ggml_vk_op_repeat(const ggml_tensor * src0, const ggml_tensor * src1 GGML_ASSERT(dst->backend == GGML_BACKEND_GPU); ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; + ggml_vk_tensor_extra_gpu * extra_src0 = (ggml_vk_tensor_extra_gpu *) src0->extra; - const vk_buffer* src0_buf = (vk_buffer *) src0->data; - vk_buffer* dst_buf = (vk_buffer *) dst->data; + const vk_buffer* src_buf = extra_src0->buffer_gpu; + const uint64_t src_offset = extra_src0->offset; + vk_buffer* dst_buf = extra->buffer_gpu; + const uint64_t dst_offset = extra->offset; std::vector copies; @@ -2283,8 +2579,8 @@ static void ggml_vk_op_repeat(const ggml_tensor * src0, const ggml_tensor * src1 for (int k1 = 0; k1 < ne01; k1++) { for (int i0 = 0; i0 < nr0; i0++) { copies.push_back({ - (i3*ne03 + k3)*nb3 + (i2*ne02 + k2)*nb2 + (i1*ne01 + k1)*nb1 + (i0*ne00)*nb0, - ( k3)*nb03 + ( k2)*nb02 + ( k1)*nb01, + src_offset + (i3*ne03 + k3)*nb3 + (i2*ne02 + k2)*nb2 + (i1*ne01 + k1)*nb1 + (i0*ne00)*nb0, + dst_offset + ( k3)*nb03 + ( k2)*nb02 + ( k1)*nb01, ne00*nb0, }); } @@ -2296,7 +2592,7 @@ static void ggml_vk_op_repeat(const ggml_tensor * src0, const ggml_tensor * src1 } vk_submission s = ggml_vk_begin_submission(vk_device.transfer_queues[0]); - vkCmdCopyBuffer(s.buffer, src0_buf->buffer, dst_buf->buffer, copies.size(), copies.data()); + vkCmdCopyBuffer(s.buffer, src_buf->buffer, dst_buf->buffer, copies.size(), copies.data()); ggml_vk_end_submission(s, {}, {}); extra->out_seqs.push_back({ s }); @@ -2343,13 +2639,7 @@ static vk_pipeline* ggml_vk_op_get_pipeline(const ggml_tensor * src0, const ggml case GGML_OP_CPY: case GGML_OP_CONT: case GGML_OP_DUP: - if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { - return &vk_pipeline_cpy_f32_f32; - } - if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F16) { - return &vk_pipeline_cpy_f32_f16; - } - return nullptr; + return ggml_vk_get_cpy_pipeline(src0->type, dst->type); case GGML_OP_NORM: if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { return &vk_pipeline_norm_f32; @@ -2360,6 +2650,45 @@ static vk_pipeline* ggml_vk_op_get_pipeline(const ggml_tensor * src0, const ggml return &vk_pipeline_rms_norm_f32; } return nullptr; + case GGML_OP_UNARY: + switch (ggml_get_unary_op(dst)) { + case GGML_UNARY_OP_SILU: + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_silu_f32; + } + break; + case GGML_UNARY_OP_GELU: + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_gelu_f32; + } + break; + case GGML_UNARY_OP_RELU: + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_relu_f32; + } + break; + default: + break; + } + return nullptr; + case GGML_OP_DIAG_MASK_INF: + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_diag_mask_inf_f32; + } + return nullptr; + case GGML_OP_SOFT_MAX: + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_soft_max_f32; + } + return nullptr; + case GGML_OP_ROPE: + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_rope_f32; + } + if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) { + return &vk_pipeline_rope_f16; + } + return nullptr; default: return nullptr; } @@ -2374,13 +2703,6 @@ static ggml_vk_func_t ggml_vk_op_get_func(ggml_op op) { } } -static bool ggml_vk_dim01_contiguous(const ggml_tensor * tensor) { - return - tensor->nb[0] == ggml_type_size(tensor->type) && - tensor->nb[1] == (tensor->nb[0]*tensor->ne[0])/ggml_blck_size(tensor->type) && - tensor->nb[3] == tensor->nb[2]*tensor->ne[2]; -} - #ifdef GGML_VULKAN_CHECK_RESULTS void ggml_vk_print_tensor(const ggml_tensor * tensor, const char * name); #endif @@ -2388,11 +2710,11 @@ void ggml_vk_print_tensor(const ggml_tensor * tensor, const char * name); template static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, const PC&& pc) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_op_f32((" << src0 << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; + std::cerr << "ggml_vk_op_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; if (src1 != nullptr) { - std::cerr << "), (" << src1 << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; + std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; } - std::cerr << "), (" << dst << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "), " << ggml_op_name(op) << ")" << std::endl; + std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", backend=" << dst->backend << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "), " << ggml_op_name(op) << ")" << std::endl; #endif GGML_ASSERT(!ggml_is_quantized(src0->type) && (src1 == nullptr || !ggml_is_quantized(src1->type))); // NOLINT GGML_ASSERT(op == GGML_OP_CPY || ggml_vk_dim01_contiguous(src0)); // NOLINT @@ -2413,9 +2735,6 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; - GGML_ASSERT(dst->ne[0] * dst->ne[1] == ne0); - GGML_ASSERT(!use_src1 || nb10 == sizeof(float)); // NOLINT - vk_pipeline * pipeline = ggml_vk_op_get_pipeline(src0, src1, dst, op); ggml_vk_func_t op_func; @@ -2437,30 +2756,50 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g const bool transfer_src0 = src0->backend != GGML_BACKEND_GPU; const bool transfer_src1 = use_src1 && src1->backend != GGML_BACKEND_GPU; - const uint32_t x_sz = ggml_vk_align_size(ggml_type_size(src0->type) * ne0, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint32_t y_sz = use_src1 ? ggml_vk_align_size(ggml_type_size(src1->type) * ne1, vk_device.properties.limits.minStorageBufferOffsetAlignment) : 0; - uint32_t d_sz = ggml_vk_align_size(ggml_type_size(dst->type) * ne0, vk_device.properties.limits.minStorageBufferOffsetAlignment); - - if (op == GGML_OP_CPY) { - d_sz = dst->ne[1] * dst->nb[1]; - } + uint64_t x_sz = ggml_vk_align_size(ggml_type_size(src0->type) * ne0, vk_device.properties.limits.minStorageBufferOffsetAlignment); + uint64_t y_sz = use_src1 ? ggml_vk_align_size(ggml_type_size(src1->type) * ne1, vk_device.properties.limits.minStorageBufferOffsetAlignment) : 0; + uint64_t d_sz = ggml_type_size(dst->type) * ne0; ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; + ggml_vk_tensor_extra_gpu * extra_src0 = (ggml_vk_tensor_extra_gpu *) src0->extra; + ggml_vk_tensor_extra_gpu * extra_src1 = use_src1 ? (ggml_vk_tensor_extra_gpu *) src1->extra : nullptr; GGML_ASSERT(extra->comp_seqs.empty()); - vk_buffer* d_D = &vk_prealloc_d_buffers[extra->d_idx]; + // Workaround for tiny tensor inputs on ROPE + if (use_src1 && src1->backend == GGML_BACKEND_GPU && y_sz > extra_src1->buffer_gpu->size) { + y_sz = VK_WHOLE_SIZE; + } + + vk_buffer* d_D = extra->buffer_gpu; + GGML_ASSERT(d_D != nullptr); + uint64_t d_buf_offset = (extra->offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + GGML_ASSERT(d_buf_offset == extra->offset || op == GGML_OP_CPY); // NOLINT vk_buffer* d_X = nullptr; + uint64_t x_buf_offset = 0; vk_buffer* d_Y = nullptr; + uint64_t y_buf_offset = 0; if (transfer_src0) { d_X = &vk_prealloc_qx; } else { - d_X = (vk_buffer *) src0->data; + d_X = extra_src0->buffer_gpu; + x_buf_offset = extra_src0->offset; + GGML_ASSERT(d_X != nullptr); } if (transfer_src1) { d_Y = &vk_prealloc_qy; } else if (use_src1) { - d_Y = (vk_buffer *) src1->data; + d_Y = extra_src1->buffer_gpu; + y_buf_offset = extra_src1->offset; + GGML_ASSERT(d_Y != nullptr); + } + + if (op == GGML_OP_CPY) { + d_sz = dst->ne[1] * dst->nb[1]; + + if (extra->offset + d_sz >= d_D->size) { + d_sz = VK_WHOLE_SIZE; + } } std::array elements; @@ -2487,21 +2826,34 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g switch (dst->op) { case GGML_OP_NORM: case GGML_OP_RMS_NORM: + case GGML_OP_SOFT_MAX: elements = { (uint32_t)ggml_nrows(src0), 1, 1 }; break; + case GGML_OP_DIAG_MASK_INF: + case GGML_OP_ROPE: + elements = { (uint32_t)ggml_nrows(src0), (uint32_t)ne00, 1 }; + break; default: elements = { (uint32_t)ggml_nelements(src0), 1, 1 }; break; } + x_sz *= ne02 * ne03; + if (y_sz != VK_WHOLE_SIZE) { + y_sz *= ne12 * ne13; + } + if (op != GGML_OP_CPY) { + d_sz *= ne02 * ne03; + } + vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_D) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buf_offset, d_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); if (use_src1) { - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_X), ggml_vk_subbuffer(*d_Y) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { ggml_vk_subbuffer(*d_X), ggml_vk_subbuffer(*d_Y), ggml_vk_subbuffer(*d_D) }, sizeof(PC), &pc, elements); + ggml_vk_sync_buffers(s.buffer, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else { - ggml_vk_sync_buffers(s.buffer, { ggml_vk_subbuffer(*d_X) }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { ggml_vk_subbuffer(*d_X), ggml_vk_subbuffer(*d_D) }, sizeof(PC), &pc, elements); + ggml_vk_sync_buffers(s.buffer, { { *d_X, x_buf_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } if (dst->backend == GGML_BACKEND_CPU && op == GGML_OP_CPY) { vk_semaphore * fsem = ggml_vk_create_binary_semaphore(); @@ -2517,7 +2869,7 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g // copy dst to host float * d = (float *) dst->data; - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, d, d_sz * ne02 * ne03, vk_device.transfer_queues[1], { *fsem }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, d, d_sz, vk_device.transfer_queues[1], { *fsem }, {})); } else { ggml_vk_end_submission(s, std::move(transfer_semaphores), {}); extra->comp_seqs.push_back({ s }); @@ -2528,8 +2880,13 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g switch (dst->op) { case GGML_OP_NORM: case GGML_OP_RMS_NORM: + case GGML_OP_SOFT_MAX: elements = { (uint32_t)ne01, 1, 1 }; break; + case GGML_OP_DIAG_MASK_INF: + case GGML_OP_ROPE: + elements = { (uint32_t)ne01, (uint32_t)ne00, 1 }; + break; default: elements = { (uint32_t)ne0, 1, 1 }; break; @@ -2544,13 +2901,13 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g const uint32_t d_offset = d_sz * it_idx0; vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); - ggml_vk_sync_buffers(s.buffer, { { *d_D, d_offset, d_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buf_offset + d_offset, d_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); if (use_src1) { - ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_Y, y_offset, y_sz }, { *d_D, d_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_sync_buffers(s.buffer, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); } else { ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_offset, x_sz }, { *d_D, d_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); } if (dst->backend == GGML_BACKEND_CPU) { vk_semaphore * fsem = ggml_vk_create_binary_semaphore(); @@ -2558,7 +2915,7 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g extra->comp_seqs.push_back({ s }); // copy dst to host - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, (char *) dst->data + i02*nb2 + i03*nb3, d_sz, vk_device.transfer_queues[1], { *fsem }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_buf_offset + d_offset, (char *) dst->data + i02*nb2 + i03*nb3, d_sz, vk_device.transfer_queues[1], { *fsem }, {})); } else { ggml_vk_end_submission(s, std::move(transfer_semaphores), {}); extra->comp_seqs.push_back({ s }); @@ -2597,12 +2954,15 @@ static void ggml_vk_clamp(const ggml_tensor * src0, ggml_tensor * dst) { } static void ggml_vk_cpy(const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; const int src0_type_size = ggml_type_size(src0->type); const int dst_type_size = ggml_type_size(dst->type); + const uint32_t d_offset = (extra->offset % vk_device.properties.limits.minStorageBufferOffsetAlignment) / dst_type_size; ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_CPY, { (uint32_t)ggml_nelements(src0), (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, (uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->nb[0] / dst_type_size, (uint32_t) dst->nb[1] / dst_type_size, (uint32_t) dst->nb[2] / dst_type_size, + d_offset, }); } @@ -2614,43 +2974,128 @@ static void ggml_vk_rms_norm(const ggml_tensor * src0, ggml_tensor * dst) { ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_RMS_NORM, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], ((float *)dst->op_params)[0], 0.0f }); } +static void ggml_vk_unary(const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_UNARY, { (uint32_t)ggml_nelements(src0), 0, 0.0f, 0.0f }); +} + +static void ggml_vk_diag_mask_inf(const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_DIAG_MASK_INF, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], ((int32_t *)dst->op_params)[0] }); +} + +static void ggml_vk_soft_max(const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_SOFT_MAX, { (uint32_t)src0->ne[0], 0, 0.0f, 0.0f }); +} + +static void ggml_vk_rope(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + const int n_dims = ((int32_t *) dst->op_params)[1]; + const int mode = ((int32_t *) dst->op_params)[2]; + const int n_ctx = ((int32_t *) dst->op_params)[3]; + const int n_orig_ctx = ((int32_t *) dst->op_params)[4]; + const float freq_base = ((float *) dst->op_params)[5]; + const float freq_scale = ((float *) dst->op_params)[6]; + const float ext_factor = ((float *) dst->op_params)[7]; + const float attn_factor = ((float *) dst->op_params)[8]; + const float beta_fast = ((float *) dst->op_params)[9]; + const float beta_slow = ((float *) dst->op_params)[10]; + + const bool is_neox = mode & 2; + const bool is_glm = mode & 4; + + // TODO: Implement + GGML_ASSERT(!is_neox && !is_glm); // NOLINT + + float corr_dims[2]; + ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims); + + ggml_vk_op_f32(src0, src1, dst, GGML_OP_ROPE, { (uint32_t)src0->ne[0], freq_scale, (uint32_t)src0->ne[1], freq_base, ext_factor, attn_factor, corr_dims[0], corr_dims[1], 0.0f, 0.0f }); +} + static void ggml_vk_nop(const ggml_tensor * src0, ggml_tensor * dst) { // If backend is CPU, data from src0 has to be copied off the device if (dst->backend == GGML_BACKEND_CPU) { ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; - vk_buffer * d_D = (vk_buffer *) src0->data; + ggml_vk_tensor_extra_gpu * extra_src0 = (ggml_vk_tensor_extra_gpu *) src0->extra; + vk_buffer * d_D = extra_src0->buffer_gpu; extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, dst->data, d_D->size, vk_device.transfer_queues[1], {}, {})); } } -void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor) { +static void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor, bool buffer_static) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_transform_tensor(" << data << ", " << tensor << ")" << std::endl; + std::cerr << "ggml_vk_transform_tensor(" << data << ", " << tensor << " (" << tensor->name << "))" << std::endl; #endif - const int64_t ne0 = tensor->ne[0]; - const int64_t ne1 = tensor->ne[1]; - const int64_t ne2 = tensor->ne[2]; - const int64_t ne3 = tensor->ne[3]; + GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); + GGML_ASSERT(ggml_is_contiguous(tensor)); - GGML_ASSERT(ne2 == 1 && ne3 == 1); // NOLINT + ggml_vk_tensor_extra_gpu * extra; + GGML_ASSERT(tensor->extra == nullptr); + extra = new ggml_vk_tensor_extra_gpu; + memset((void *) extra, 0, sizeof(ggml_vk_tensor_extra_gpu)); + tensor->extra = extra; - const ggml_type type = tensor->type; - const size_t q_sz = ggml_type_size(type) * ne0 * ne1 * ne2 * ne3 / ggml_blck_size(type); + const size_t size = ggml_nbytes(tensor); - vk_buffer dst = ggml_vk_create_buffer(q_sz, vk::MemoryPropertyFlagBits::eDeviceLocal); + extra->buffer_gpu = new vk_buffer; + *extra->buffer_gpu = ggml_vk_pool_malloc(size, vk::MemoryPropertyFlagBits::eDeviceLocal); + ggml_vk_buffer_write(extra->buffer_gpu, 0, data, size, vk_device.transfer_queues[0]); - std::vector seqs; + extra->buffer_static = buffer_static; - tensor->data = data; - // copy tensor to device - seqs.push_back(ggml_vk_h2d_tensor_2d(&dst, 0, tensor, 0, 0, ne1, vk_device.transfer_queues[0], {}, {})); + if (!buffer_static) { + vk_gc.temp_buffers.push_back(*extra->buffer_gpu); + } +} - ggml_vk_submit(vk_device.transfer_queues[0], seqs, VK_NULL_HANDLE); - vk_device.transfer_queues[0].queue.waitIdle(); +void ggml_vk_transform_tensor_temporary(void * data, ggml_tensor * tensor) { + ggml_vk_transform_tensor(data, tensor, false); +} +void ggml_vk_transform_tensor_static(void * data, ggml_tensor * tensor) { + ggml_vk_transform_tensor(data, tensor, true); +} - tensor->data = malloc(sizeof(vk_buffer)); - *(vk_buffer*) tensor->data = dst; - GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); +void ggml_vk_assign_buffer(ggml_tensor * tensor) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_assign_buffer(" << tensor << " (" << tensor->name << "))" << std::endl; +#endif + tensor->backend = GGML_BACKEND_GPU; + + GGML_ASSERT(tensor->extra == nullptr); + + ggml_vk_tensor_extra_gpu * extra = new ggml_vk_tensor_extra_gpu; + memset((void *) extra, 0, sizeof(ggml_vk_tensor_extra_gpu)); + tensor->extra = extra; + + extra->buffer_gpu = new vk_buffer; + *extra->buffer_gpu = ggml_vk_create_buffer(ggml_nbytes(tensor), vk::MemoryPropertyFlagBits::eDeviceLocal); + ggml_vk_buffer_memset(extra->buffer_gpu, 0, 0, VK_WHOLE_SIZE, vk_device.transfer_queues[0]); + extra->buffer_static = true; +} + +static void ggml_vk_tensor_create_extra(ggml_tensor * tensor) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_create_extra(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))" << std::endl; +#endif + ggml_vk_tensor_extra_gpu * extra = new ggml_vk_tensor_extra_gpu; + memset((void *) extra, 0, sizeof(ggml_vk_tensor_extra_gpu)); + tensor->extra = extra; +} + +void ggml_vk_prepare_tensor(ggml_tensor * tensor) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_prepare_tensor(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))" << std::endl; +#endif + tensor->backend = GGML_BACKEND_GPU; + + // recursively prepare buffers until a compute tensor is found + if (tensor->src[0] != nullptr && tensor->src[0]->backend == GGML_BACKEND_CPU) { + const ggml_op src0_op = tensor->src[0]->op; + if (src0_op == GGML_OP_RESHAPE || src0_op == GGML_OP_TRANSPOSE || src0_op == GGML_OP_VIEW || src0_op == GGML_OP_PERMUTE) { + ggml_vk_prepare_tensor(tensor->src[0]); + } + } + if (tensor->op == GGML_OP_CPY && tensor->src[1]->backend == GGML_BACKEND_CPU) { + ggml_vk_prepare_tensor(tensor->src[1]); + } } static void ggml_vk_tensor_stride_order(const ggml_tensor * tensor, std::array& order) { @@ -2678,28 +3123,36 @@ static size_t ggml_vk_tensor_size(const ggml_tensor * tensor) { return tensor->ne[order[3]]*tensor->nb[order[3]]; } -static ggml_vk_tensor_extra_gpu * ggml_vk_preallocate_buffers(uint32_t d_size, uint32_t qx_size, uint32_t qy_size, uint32_t x_size, uint32_t y_size, uint32_t split_k_size) { - ggml_vk_tensor_extra_gpu * extra = new ggml_vk_tensor_extra_gpu; - - extra->d_idx = -1; - extra->tensor_size = d_size; +static void ggml_vk_preallocate_buffers(ggml_tensor * tensor, uint32_t d_size, uint32_t qx_size, uint32_t qy_size, uint32_t x_size, uint32_t y_size, uint32_t split_k_size, int inplace_d) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_preallocate_buffers(tensor=" << tensor << ", d_size=" << d_size << ", qx_size=" << qx_size << ", qy_size=" << qy_size << ", x_size=" << x_size << ", y_size=" << y_size << ", split_k_size=" << split_k_size << ", inplace_d=" << inplace_d << ")" << std::endl; +#endif + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; + GGML_ASSERT(extra != nullptr); if (d_size > 0) { - // Check if buffer already exists, increase size if required - for (size_t i = 0; i < vk_prealloc_d_sizes.size(); i++) { - if (!vk_prealloc_d_blocked[i]) { - extra->d_idx = i; - if (vk_prealloc_d_sizes[i] < d_size) { - vk_prealloc_d_sizes[i] = d_size; + if (inplace_d == -1) { + extra->d_idx = -1; + extra->tensor_size = d_size; + + // Check if buffer already exists, increase size if required + for (size_t i = 0; i < vk_prealloc_d_sizes.size(); i++) { + if (!vk_prealloc_d_blocked[i]) { + extra->d_idx = i; + if (vk_prealloc_d_sizes[i] < d_size) { + vk_prealloc_d_sizes[i] = d_size; + } + break; } - break; } - } - if (extra->d_idx == -1) { - vk_prealloc_d_sizes.push_back(d_size); - vk_prealloc_d_blocked.push_back(nullptr); - vk_prealloc_d_buffers.emplace_back(); - extra->d_idx = vk_prealloc_d_buffers.size() - 1; + if (extra->d_idx == -1) { + vk_prealloc_d_sizes.push_back(d_size); + vk_prealloc_d_blocked.push_back(nullptr); + vk_prealloc_d_buffers.emplace_back(); + extra->d_idx = vk_prealloc_d_buffers.size() - 1; + } + } else if(inplace_d >= 0) { + extra->d_idx = inplace_d; } if (vk_prealloc_size_qx < qx_size) { vk_prealloc_size_qx = qx_size; @@ -2717,13 +3170,11 @@ static ggml_vk_tensor_extra_gpu * ggml_vk_preallocate_buffers(uint32_t d_size, u vk_prealloc_size_split_k = split_k_size; } } - - vk_gc.extras.push_back(extra); - - return extra; } -static ggml_tensor * ggml_vk_find_last_use(ggml_tensor * node, ggml_cgraph * graph) { +static ggml_tensor * ggml_vk_find_last_use(const ggml_tensor * node, ggml_cgraph * graph) { + GGML_ASSERT(node != nullptr); + for (int i = graph->n_nodes - 1; i >= 0; i--) { for (int j = 0; j < GGML_MAX_SRC; j++) { if (graph->nodes[i]->src[j] == node) { @@ -2732,12 +3183,12 @@ static ggml_tensor * ggml_vk_find_last_use(ggml_tensor * node, ggml_cgraph * gra } } - GGML_ASSERT(false); + return nullptr; } static void ggml_vk_realign_tensor(ggml_tensor * tensor) { - // Handle split-k, which needs more space per MM ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; + GGML_ASSERT(extra != nullptr); std::array order; ggml_vk_tensor_stride_order(tensor, order); @@ -2753,14 +3204,16 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ #ifdef VK_DEBUG std::cerr << "ggml_vk_preallocate_buffers_graph(" << node << ")" << std::endl; #endif - node->extra = nullptr; + if (node->extra == nullptr) { + ggml_vk_tensor_create_extra(node); + } const bool src0_gpu = false; // node->src[0] != nullptr && node->src[0]->ne[1] > 32 && node->src[0]->extra != nullptr && node->src[0]->backend == GGML_BACKEND_CPU; const bool src1_gpu = false; // node->src[1] != nullptr && node->src[1]->ne[1] > 32 && node->src[1]->extra != nullptr && node->src[1]->backend == GGML_BACKEND_CPU; const bool any_on_device = node->backend == GGML_BACKEND_GPU - || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT || src0_gpu)) - || (node->src[1] != nullptr && (node->src[1]->backend == GGML_BACKEND_GPU || src1_gpu)); + || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) + || (node->src[1] != nullptr && (node->src[1]->backend == GGML_BACKEND_GPU)); if (!any_on_device && node->op != GGML_OP_MUL_MAT) { return; @@ -2787,10 +3240,13 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ const bool transfer_src0 = use_src0 && src0->backend != GGML_BACKEND_GPU; const bool transfer_src1 = use_src1 && src1->backend != GGML_BACKEND_GPU; + const bool x_non_contig = use_src0 && !ggml_vk_dim01_contiguous(src0); + const bool y_non_contig = use_src1 && !ggml_vk_dim01_contiguous(src1); + const bool qvec_kernel = use_src0 && use_src1 && src1->ne[1] == 1 && (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)); - const bool qx_needs_dequant = use_src0 && !qvec_kernel && src0->type != GGML_TYPE_F16; + const bool qx_needs_dequant = use_src0 && !qvec_kernel && !x_non_contig && (src0->type != GGML_TYPE_F16 || x_non_contig); const bool f16_f32_kernel = use_src1 && src1->type == GGML_TYPE_F32; - const bool qy_needs_dequant = use_src1 && src1->type != GGML_TYPE_F16 && !f16_f32_kernel; + const bool qy_needs_dequant = use_src1 && (src1->type != GGML_TYPE_F16 && !f16_f32_kernel) || y_non_contig; int split_k; if (node->op == GGML_OP_MUL_MAT) { @@ -2804,21 +3260,17 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ const uint32_t y_ne = ne10 * ne11; const uint32_t d_ne = ne20 * ne21; - const uint32_t qx_sz = use_src0 ? ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne02 * ne03 : 0; - const uint32_t qy_sz = use_src1 ? ggml_vk_align_size(ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type), vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne12 * ne13 : 0; - const uint32_t x_sz = use_src0 ? ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne02 * ne03 : 0; - const uint32_t y_sz = use_src1 ? ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne12 * ne13 : 0; - uint32_t d_sz = ggml_vk_align_size(ggml_type_size(node->type) * d_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne22 * ne23; + const uint64_t qx_sz = use_src0 ? ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne02 * ne03 : 0; + const uint64_t qy_sz = use_src1 ? ggml_vk_align_size(ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type), vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne12 * ne13 : 0; + const uint64_t x_sz = use_src0 ? ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne02 * ne03 : 0; + const uint64_t y_sz = use_src1 ? ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne12 * ne13 : 0; + uint64_t d_sz = ggml_vk_align_size(ggml_type_size(node->type) * d_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne22 * ne23; // These ops can create incontiguous tensors if (node->op == GGML_OP_CPY || node->op == GGML_OP_CONT || node->op == GGML_OP_DUP) { d_sz = ggml_vk_align_size(node->ne[1] * node->nb[1], vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne22 * ne23; } - ggml_vk_tensor_extra_gpu * extra; - ggml_vk_tensor_extra_gpu * src0_extra = use_src0 ? (ggml_vk_tensor_extra_gpu *) src0->extra : nullptr; - ggml_vk_tensor_extra_gpu * src1_extra = use_src1 ? (ggml_vk_tensor_extra_gpu *) src1->extra : nullptr; - // Block buffers for reuse early switch (node->op) { case GGML_OP_REPEAT: @@ -2838,7 +3290,7 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ case GGML_OP_NORM: case GGML_OP_RMS_NORM: case GGML_OP_MUL_MAT: - if (node->op == GGML_OP_MUL_MAT && !any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { + if (node->op == GGML_OP_MUL_MAT && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { return; } @@ -2848,47 +3300,55 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ src0->backend = GGML_BACKEND_GPU; // Replace with data GPU tensor - vk_prealloc_d_blocked[src0_extra->d_idx] = ggml_vk_find_last_use(src0, graph); - - ggml_vk_realign_tensor(src0); + vk_prealloc_d_blocked[((ggml_vk_tensor_extra_gpu *)src0->extra)->d_idx] = ggml_vk_find_last_use(src0, graph); } if (src1_gpu) { - // std::cerr << "Offloading " << src1 << " (" << ggml_op_name(src1->op) << ") to GPU because of " << src1->extra << std::endl;// + // std::cerr << "Offloading " << src1 << " (" << ggml_op_name(src1->op) << ") to GPU because of " << src1->extra << std::endl; src1->backend = GGML_BACKEND_GPU; // Replace with data GPU tensor - vk_prealloc_d_blocked[src1_extra->d_idx] = ggml_vk_find_last_use(src1, graph); - - ggml_vk_realign_tensor(src1); + vk_prealloc_d_blocked[((ggml_vk_tensor_extra_gpu *)src1->extra)->d_idx] = ggml_vk_find_last_use(src1, graph); } default: break; } + // -1 means pick from preallocated buffers + // -2 means don't pick, it has already been assigned + int inplace = -1; + if (node->view_src != nullptr && node->view_src->backend == GGML_BACKEND_GPU) { + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) node->extra; + ggml_vk_tensor_extra_gpu * extra_src = (ggml_vk_tensor_extra_gpu *) node->view_src->extra; + + // These ops reuse the src's buffer + if (extra_src->buffer_static) { + // Inherit buffer directly + extra->d_idx = -1; + extra->buffer_static = true; + extra->buffer_gpu = extra_src->buffer_gpu; + inplace = -2; + } else { + // Use same temp buffer + extra->d_idx = extra_src->d_idx; + inplace = extra->d_idx; + } + extra->tensor_size = extra_src->tensor_size; + extra->offset = node->view_offs; + } + switch (node->op) { case GGML_OP_REPEAT: - node->extra = ggml_vk_preallocate_buffers(d_sz, qx_sz, 0, 0, 0, 0); + ggml_vk_preallocate_buffers(node, d_sz, qx_sz, 0, 0, 0, 0, inplace); break; case GGML_OP_GET_ROWS: - node->extra = ggml_vk_preallocate_buffers(d_sz, 0, 0, 0, 0, 0); + ggml_vk_preallocate_buffers(node, d_sz, 0, 0, 0, 0, 0, inplace); break; case GGML_OP_RESHAPE: case GGML_OP_VIEW: case GGML_OP_PERMUTE: case GGML_OP_TRANSPOSE: - extra = ggml_vk_preallocate_buffers(0, 0, 0, 0, 0, 0); - // These ops reuse the src's buffer - if (use_src1) { - extra->d_idx = src1_extra->d_idx; - extra->tensor_size = src1_extra->tensor_size; - vk_prealloc_d_blocked[src1_extra->d_idx] = ggml_vk_find_last_use(src1, graph); - } else { - extra->d_idx = src0_extra->d_idx; - extra->tensor_size = src0_extra->tensor_size; - vk_prealloc_d_blocked[src0_extra->d_idx] = ggml_vk_find_last_use(src0, graph); - } - node->extra = extra; + ggml_vk_preallocate_buffers(node, 0, 0, 0, 0, 0, 0, inplace); break; case GGML_OP_ADD: case GGML_OP_SCALE: @@ -2900,15 +3360,36 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ case GGML_OP_MUL: case GGML_OP_NORM: case GGML_OP_RMS_NORM: - node->extra = ggml_vk_preallocate_buffers(d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, 0, 0, 0); + case GGML_OP_DIAG_MASK_INF: + case GGML_OP_SOFT_MAX: + case GGML_OP_ROPE: + ggml_vk_preallocate_buffers(node, d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, 0, 0, 0, inplace); + break; + case GGML_OP_UNARY: + switch (ggml_get_unary_op(node)) { + case GGML_UNARY_OP_SILU: + case GGML_UNARY_OP_GELU: + case GGML_UNARY_OP_RELU: + ggml_vk_preallocate_buffers(node, d_sz, transfer_src0 ? qx_sz : 0, 0, 0, 0, 0, inplace); + break; + default: + return; + } break; case GGML_OP_MUL_MAT: - node->extra = ggml_vk_preallocate_buffers(d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, qx_needs_dequant ? x_sz : 0, qy_needs_dequant ? y_sz : 0, split_k > 1 ? d_sz * 4 : 0); + ggml_vk_preallocate_buffers(node, d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, qx_needs_dequant ? x_sz : 0, qy_needs_dequant ? y_sz : 0, split_k > 1 ? d_sz * 4 : 0, inplace); break; default: return; } + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) node->extra; + + if (node->backend == GGML_BACKEND_GPU && extra->d_idx >= 0) { + // Replace with data GPU tensor + vk_prealloc_d_blocked[extra->d_idx] = ggml_vk_find_last_use(node, graph); + } + // std::cerr << "Created extra " << node->extra << " for " << node << " (" << ggml_op_name(node->op) << ") with"; // if (src0 != nullptr) { // std::cerr << " src0=" << src0 << " (" << ggml_op_name(src0->op) << ")"; @@ -2973,7 +3454,7 @@ void ggml_vk_preallocate_buffers() { } } -void ggml_vk_build_graph(ggml_tensor * node){ +void ggml_vk_build_graph(ggml_tensor * node, ggml_cgraph * graph){ const bool any_on_device = node->backend == GGML_BACKEND_GPU || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) || (node->src[1] != nullptr && node->src[1]->backend == GGML_BACKEND_GPU); @@ -2988,62 +3469,98 @@ void ggml_vk_build_graph(ggml_tensor * node){ vk_semaphore_idx = 0; + const ggml_tensor * src0 = node->src[0]; + const ggml_tensor * src1 = node->src[1]; + + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) node->extra; + ggml_vk_tensor_extra_gpu * src0_extra = src0 != nullptr ? (ggml_vk_tensor_extra_gpu *) src0->extra : nullptr; + ggml_vk_tensor_extra_gpu * src1_extra = src1 != nullptr ? (ggml_vk_tensor_extra_gpu *) src1->extra : nullptr; + + // Set data to vk_buffer + // This can't be done earlier cause the buffer may not exist yet + if (extra->d_idx >= 0) { + extra->buffer_gpu = &vk_prealloc_d_buffers[extra->d_idx]; + } + switch (node->op) { case GGML_OP_REPEAT: - ggml_vk_repeat(node->src[0], node->src[1], node); + ggml_vk_repeat(src0, src1, node); break; case GGML_OP_GET_ROWS: - ggml_vk_get_rows(node->src[0], node->src[1], node); + ggml_vk_get_rows(src0, src1, node); break; case GGML_OP_ADD: - ggml_vk_add(node->src[0], node->src[1], node); + ggml_vk_add(src0, src1, node); break; case GGML_OP_MUL: - ggml_vk_mul(node->src[0], node->src[1], node); + ggml_vk_mul(src0, src1, node); break; case GGML_OP_SCALE: - ggml_vk_scale(node->src[0], node->src[1], node); + ggml_vk_scale(src0, src1, node); break; case GGML_OP_SQR: - ggml_vk_sqr(node->src[0], node); + ggml_vk_sqr(src0, node); break; case GGML_OP_CLAMP: - ggml_vk_clamp(node->src[0], node); + ggml_vk_clamp(src0, node); break; case GGML_OP_CPY: case GGML_OP_CONT: case GGML_OP_DUP: - ggml_vk_cpy(node->src[0], node); + ggml_vk_cpy(src0, node); break; case GGML_OP_RESHAPE: case GGML_OP_VIEW: case GGML_OP_PERMUTE: case GGML_OP_TRANSPOSE: - ggml_vk_nop(node->src[0], node); + ggml_vk_nop(src0, node); break; case GGML_OP_NORM: - ggml_vk_norm(node->src[0], node); + ggml_vk_norm(src0, node); break; case GGML_OP_RMS_NORM: - ggml_vk_rms_norm(node->src[0], node); + ggml_vk_rms_norm(src0, node); + + break; + case GGML_OP_UNARY: + switch (ggml_get_unary_op(node)) { + case GGML_UNARY_OP_SILU: + case GGML_UNARY_OP_GELU: + case GGML_UNARY_OP_RELU: + ggml_vk_unary(src0, node); + break; + default: + return; + } + break; + case GGML_OP_DIAG_MASK_INF: + ggml_vk_diag_mask_inf(src0, node); + + break; + case GGML_OP_SOFT_MAX: + ggml_vk_soft_max(src0, node); + + break; + case GGML_OP_ROPE: + ggml_vk_rope(src0, src1, node); break; case GGML_OP_MUL_MAT: - if (!any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { + if (!any_on_device && !ggml_vk_can_mul_mat(src0, src1, node)) { return; } - ggml_vk_mul_mat(node->src[0], node->src[1], node); + ggml_vk_mul_mat(src0, src1, node); break; default: @@ -3054,14 +3571,7 @@ void ggml_vk_build_graph(ggml_tensor * node){ return; } - // Set data to vk_buffer if backend is GPU - // This can't be done earlier cause the buffer may not exist yet - if (node->backend == GGML_BACKEND_GPU) { - node->data = malloc(sizeof(vk_buffer)); - *(vk_buffer*) node->data = vk_prealloc_d_buffers[((ggml_vk_tensor_extra_gpu *) node->extra)->d_idx]; - - vk_gc.gpu_tensors.push_back(node); - } + extra->ready = true; } bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor){ @@ -3087,12 +3597,26 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) case GGML_OP_DUP: case GGML_OP_NORM: case GGML_OP_RMS_NORM: + case GGML_OP_DIAG_MASK_INF: + case GGML_OP_SOFT_MAX: + case GGML_OP_ROPE: case GGML_OP_RESHAPE: case GGML_OP_VIEW: case GGML_OP_PERMUTE: case GGML_OP_TRANSPOSE: extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; + break; + case GGML_OP_UNARY: + switch (ggml_get_unary_op(tensor)) { + case GGML_UNARY_OP_SILU: + case GGML_UNARY_OP_GELU: + case GGML_UNARY_OP_RELU: + extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; + break; + default: + return false; + } break; case GGML_OP_MUL_MAT: if (!any_on_device && !ggml_vk_can_mul_mat(tensor->src[0], tensor->src[1], tensor)) { @@ -3107,7 +3631,6 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) } if (extra == nullptr) { - // Graph hasn't been prepared, fall back to CPU return false; } @@ -3119,13 +3642,15 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) } #ifdef VK_DEBUG - std::cerr << "ggml_vk_compute_forward(" << params << ", " << tensor << ")" << std::endl; + std::cerr << "ggml_vk_compute_forward(" << tensor << ", name=" << tensor->name << ", op=" << ggml_op_name(tensor->op) << ", type=" << tensor->type << ", backend=" << tensor->backend << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << ", view_src=" << tensor->view_src << ", view_offs=" << tensor->view_offs << ", buffer_gpu=" << extra->buffer_gpu << ")" << std::endl; #endif #ifdef GGML_VULKAN_CHECK_RESULTS ggml_vk_check_results_0(params, tensor); #endif + GGML_ASSERT(extra->ready); + if (!extra->out_seqs.empty() || !extra->comp_seqs.empty()) { // Do staging buffer copies for (auto& cpy : extra->memcpys) { @@ -3144,6 +3669,8 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) vk_device.device.resetFences({ vk_fence }); } + extra->ready = false; + return true; } @@ -3151,6 +3678,11 @@ void ggml_vk_graph_cleanup() { #ifdef VK_DEBUG std::cerr << "ggml_vk_graph_cleanup()" << std::endl; #endif + for (auto& buffer : vk_gc.temp_buffers) { + ggml_vk_pool_free(buffer); + } + vk_gc.temp_buffers.clear(); + for (auto * pipeline : vk_gc.pipelines) { ggml_vk_pipeline_cleanup(*pipeline); } @@ -3169,21 +3701,32 @@ void ggml_vk_graph_cleanup() { vk_device.device.destroySemaphore({ vk_gc.tl_semaphores[i].s }); } vk_gc.tl_semaphores.clear(); +} - for (auto * extra : vk_gc.extras) { - delete extra; +void ggml_vk_cleanup() { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_cleanup()" << std::endl; +#endif + for (auto& buffer : vk_prealloc_d_buffers) { + ggml_vk_destroy_buffer(buffer); } - vk_gc.extras.clear(); + vk_prealloc_d_buffers.clear(); + vk_prealloc_d_sizes.clear(); - for (auto * tensor : vk_gc.gpu_tensors) { - delete (vk_buffer *) tensor->data; - } - vk_gc.gpu_tensors.clear(); + ggml_vk_destroy_buffer(vk_prealloc_qx); + ggml_vk_destroy_buffer(vk_prealloc_qy); + ggml_vk_destroy_buffer(vk_prealloc_x); + ggml_vk_destroy_buffer(vk_prealloc_y); + + vk_prealloc_size_qx = 0; + vk_prealloc_size_qy = 0; + vk_prealloc_size_x = 0; + vk_prealloc_size_y = 0; } #ifdef GGML_VULKAN_CHECK_RESULTS void ggml_vk_print_graph_origin(const ggml_tensor * tensor, std::vector& done, int level = 0) { - if (std::find(done.begin(), done.end(), tensor) != done.end()) { + if (std::find(done.begin(), done.end(), tensor) != done.end() || level > 10) { return; } for (int j = 0; j < level; j++) { @@ -3261,6 +3804,7 @@ void ggml_vk_print_tensor(const ggml_tensor * tensor, const char * name) { } void ggml_vk_check_tensor(const std::string& name, const ggml_tensor * tensor) { + return; GGML_ASSERT(tensor->backend == GGML_BACKEND_CPU); if (tensor->type != GGML_TYPE_F32 && tensor->type != GGML_TYPE_F16) { return; @@ -3269,7 +3813,7 @@ void ggml_vk_check_tensor(const std::string& name, const ggml_tensor * tensor) { for (int i2 = 0; i2 < tensor->ne[2]; i2++) { for (int i1 = 0; i1 < tensor->ne[1]; i1++) { for (int i0 = 0; i0 < tensor->ne[0]; i0++) { - float val; + float val = 0.0f; if (tensor->type == GGML_TYPE_F32) { val = *(float *) ((char *) tensor->data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); } else if (tensor->type == GGML_TYPE_F16) { @@ -3312,7 +3856,7 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) ggml_tensor * src1 = tensor->src[1]; struct ggml_init_params iparams = { - .mem_size = 512*1024*1024, + .mem_size = 1024*1024*1024, .mem_buffer = NULL, }; @@ -3326,21 +3870,27 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) size_t src0_size; size_t src1_size; + void * src0_buffer; + void * src1_buffer; + if (src0 != nullptr) { src0_clone = ggml_dup_tensor(ctx, src0); src0_size = ggml_vk_tensor_size(src0); - src0_clone->data = malloc(src0_size); + src0_buffer = malloc(src0_size); + src0_clone->data = src0_buffer; if (src0->backend == GGML_BACKEND_CPU) { memcpy(src0_clone->data, src0->data, src0_size); memcpy(src0_clone->nb, src0->nb, sizeof(size_t) * GGML_MAX_DIMS); } else if (src0->backend == GGML_BACKEND_GPU) { + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) src0->extra; + uint64_t offset = extra->offset; if (!ggml_is_contiguous(src0) && ggml_vk_dim01_contiguous(src0)) { for (int i3 = 0; i3 < src0->ne[3]; i3++) { for (int i2 = 0; i2 < src0->ne[2]; i2++) { const int idx = i3*src0->ne[2] + i2; - ggml_vk_buffer_read((vk_buffer *)src0->data, (idx) * src0->nb[2], ((char *)src0_clone->data + idx * src0_clone->nb[2]), src0->ne[1] * src0->nb[1], vk_device.transfer_queues[0]); + ggml_vk_buffer_read(extra->buffer_gpu, offset + idx * src0->nb[2], ((char *)src0_clone->data + idx * src0_clone->nb[2]), src0->ne[1] * src0->nb[1], vk_device.transfer_queues[0]); } } @@ -3350,7 +3900,10 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) src0_clone->nb[i] = src0_clone->nb[i - 1]*src0_clone->ne[i - 1]; } } else { - ggml_vk_buffer_read((vk_buffer *)src0->data, 0, src0_clone->data, src0_size, vk_device.transfer_queues[0]); + if (offset + src0_size >= extra->buffer_gpu->size) { + src0_size = extra->buffer_gpu->size - offset; + } + ggml_vk_buffer_read(extra->buffer_gpu, offset, src0_clone->data, src0_size, vk_device.transfer_queues[0]); memcpy(src0_clone->nb, src0->nb, sizeof(size_t) * GGML_MAX_DIMS); } } else { @@ -3361,23 +3914,26 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) ggml_vk_print_tensor(src0, "src0"); } - // ggml_vk_check_tensor(std::string(ggml_op_name(tensor->op)) + "->src0", src0_clone); + ggml_vk_check_tensor(std::string(ggml_op_name(tensor->op)) + "->src0", src0_clone); } if (src1 != nullptr) { src1_clone = ggml_dup_tensor(ctx, src1); src1_size = ggml_vk_tensor_size(src1); - src1_clone->data = malloc(src1_size); + src1_buffer = malloc(src1_size); + src1_clone->data = src1_buffer; if (src1->backend == GGML_BACKEND_CPU) { memcpy(src1_clone->data, src1->data, src1_size); memcpy(src1_clone->nb, src1->nb, sizeof(size_t) * GGML_MAX_DIMS); } else if (src1->backend == GGML_BACKEND_GPU) { + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) src1->extra; + uint64_t offset = extra->offset; if (!ggml_is_contiguous(src1) && ggml_vk_dim01_contiguous(src1)) { for (int i3 = 0; i3 < src1->ne[3]; i3++) { for (int i2 = 0; i2 < src1->ne[2]; i2++) { const int idx = i3*src1->ne[2] + i2; - ggml_vk_buffer_read((vk_buffer *)src1->data, (idx) * src1->nb[2], ((char *)src1_clone->data + idx * src1_clone->nb[2]), src1->ne[1] * src1->nb[1], vk_device.transfer_queues[0]); + ggml_vk_buffer_read(extra->buffer_gpu, offset + idx * src1->nb[2], ((char *)src1_clone->data + idx * src1_clone->nb[2]), src1->ne[1] * src1->nb[1], vk_device.transfer_queues[0]); } } @@ -3387,7 +3943,10 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) src1_clone->nb[i] = src1_clone->nb[i - 1]*src1_clone->ne[i - 1]; } } else { - ggml_vk_buffer_read((vk_buffer *)src1->data, 0, src1_clone->data, src1_size, vk_device.transfer_queues[0]); + if (offset + src1_size >= extra->buffer_gpu->size) { + src1_size = extra->buffer_gpu->size - offset; + } + ggml_vk_buffer_read(extra->buffer_gpu, offset, src1_clone->data, src1_size, vk_device.transfer_queues[0]); memcpy(src1_clone->nb, src1->nb, sizeof(size_t) * GGML_MAX_DIMS); } } else { @@ -3414,7 +3973,7 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) ggml_vk_print_graph_origin(src1_clone, done); } - // ggml_vk_check_tensor(std::string(ggml_op_name(tensor->op)) + "->src1", src1_clone); + ggml_vk_check_tensor(std::string(ggml_op_name(tensor->op)) + "->src1", src1_clone); } if (tensor->op == GGML_OP_MUL_MAT) { @@ -3433,13 +3992,46 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) tensor_clone = ggml_norm(ctx, src0_clone, *(float *)tensor->op_params); } else if (tensor->op == GGML_OP_RMS_NORM) { tensor_clone = ggml_rms_norm(ctx, src0_clone, *(float *)tensor->op_params); - } else if (tensor->op == GGML_OP_CPY || tensor->op == GGML_OP_CONT || tensor->op == GGML_OP_DUP) { + } else if (tensor->op == GGML_OP_SOFT_MAX) { + tensor_clone = ggml_soft_max(ctx, src0_clone); + } else if (tensor->op == GGML_OP_DIAG_MASK_INF) { + tensor_clone = ggml_diag_mask_inf(ctx, src0_clone, *(float *)tensor->op_params); + } else if (tensor->op == GGML_OP_ROPE) { + const int n_dims = ((int32_t *) tensor->op_params)[1]; + const int mode = ((int32_t *) tensor->op_params)[2]; + const int n_ctx = ((int32_t *) tensor->op_params)[3]; + const int n_orig_ctx = ((int32_t *) tensor->op_params)[4]; + float freq_base = ((float *) tensor->op_params)[5]; + float freq_scale = ((float *) tensor->op_params)[6]; + float ext_factor = ((float *) tensor->op_params)[7]; + float attn_factor = ((float *) tensor->op_params)[8]; + float beta_fast = ((float *) tensor->op_params)[9]; + float beta_slow = ((float *) tensor->op_params)[10]; + tensor_clone = ggml_rope_custom(ctx, src0_clone, src1_clone, n_dims, mode, n_ctx, n_orig_ctx, freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow); + } else if (tensor->op == GGML_OP_UNARY) { + switch (ggml_get_unary_op(tensor)) { + case GGML_UNARY_OP_SILU: + tensor_clone = ggml_silu(ctx, src0_clone); + break; + case GGML_UNARY_OP_GELU: + tensor_clone = ggml_gelu(ctx, src0_clone); + break; + case GGML_UNARY_OP_RELU: + tensor_clone = ggml_relu(ctx, src0_clone); + break; + default: + std::cerr << "Missing vk_check_results OP: " << ggml_op_name(tensor->op) << std::endl; + GGML_ASSERT(false); + } + } else if (tensor->op == GGML_OP_CPY || tensor->op == GGML_OP_DUP) { if (src1 == nullptr) { tensor_clone = ggml_dup(ctx, src0_clone); tensor_clone->type == tensor->type; } else { tensor_clone = ggml_cpy(ctx, src0_clone, src1_clone); } + } else if (tensor->op == GGML_OP_CONT) { + tensor_clone = ggml_cont_4d(ctx, src0_clone, tensor->ne[0], tensor->ne[1], tensor->ne[2], tensor->ne[3]); } else if (tensor->op == GGML_OP_RESHAPE) { tensor_clone = ggml_reshape_4d(ctx, src0_clone, tensor->ne[0], tensor->ne[1], tensor->ne[2], tensor->ne[3]); } else if (tensor->op == GGML_OP_VIEW) { @@ -3457,9 +4049,9 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) ggml_cgraph * cgraph = ggml_new_graph(ctx); ggml_build_forward_expand(cgraph, tensor_clone); - ggml_graph_compute_with_ctx(ctx, cgraph, 8); + ggml_graph_compute_with_ctx(ctx, cgraph, 1); - // ggml_vk_check_tensor(ggml_op_name(tensor->op), tensor_clone); + ggml_vk_check_tensor(ggml_op_name(tensor->op), tensor_clone); if (vk_output_tensor > 0 && vk_output_tensor == check_counter) { ggml_vk_print_tensor(tensor_clone, "tensor_clone"); } @@ -3471,10 +4063,10 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) memcpy(comp_nb, tensor_clone->nb, sizeof(size_t) * GGML_MAX_DIMS); if (src0 != nullptr) { - free(src0_clone->data); + free(src0_buffer); } if (src1 != nullptr) { - free(src1_clone->data); + free(src1_buffer); } ggml_free(ctx); @@ -3497,10 +4089,16 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) void * tensor_data = tensor->data; if (tensor->backend == GGML_BACKEND_GPU) { - const size_t tensor_size = ggml_vk_tensor_size(tensor); + size_t tensor_size = ggml_vk_tensor_size(tensor); tensor_data = malloc(tensor_size); - ggml_vk_buffer_read((vk_buffer *)tensor->data, 0, tensor_data, tensor_size, vk_device.transfer_queues[0]); + ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) tensor->extra; + + if (extra->offset + tensor_size >= extra->buffer_gpu->size) { + tensor_size = extra->buffer_gpu->size - extra->offset; + } + + ggml_vk_buffer_read(extra->buffer_gpu, extra->offset, tensor_data, tensor_size, vk_device.transfer_queues[0]); } float first_error_result = -1.0f; @@ -3534,12 +4132,13 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) if ((std::isnan(correct) != std::isnan(result)) || (std::isinf(correct) != std::isinf(result)) || !buffer_size_fit) { std::cerr << "ERROR: Invalid value in " << ggml_op_name(tensor->op) << " i3=" << i3 << " i2=" << i2 << " i1=" << i1 << " i0=" << i0 << " result=" << result << " correct=" << correct << " avg_err=" << (avg_err / counter) << std::endl; - std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; + std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << " offset=" << tensor->view_offs << std::endl; if (src0 != nullptr) { - std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << std::endl; + std::cerr << "src0=" << src0 << " src0->name=" << src0->name << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << " offset=" << src0->view_offs << std::endl; } if (src1 != nullptr) { - std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << std::endl; + std::cerr << "src1=" << src1 << " src1->name=" << src1->name << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << " offset=" << src1->view_offs << std::endl; + std::cerr << "src1 buffer: " << ((ggml_vk_tensor_extra_gpu *)src1->extra)->d_idx << std::endl; } std::cerr << "First error: result=" << first_error_result << " correct=" << first_error_correct << " i3=" << first_error[3] << " i2=" << first_error[2] << " i1=" << first_error[1] << " i0=" << first_error[0] << std::endl; std::cerr << std::endl << "Result:" << std::endl; @@ -3575,12 +4174,12 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) if (vk_output_tensor > 0 && vk_output_tensor == check_counter) { std::cerr << "TENSOR CHECK: avg_err=" << avg_err << " in " << ggml_op_name(tensor->op) << " (check " << check_counter << ")" << std::endl; - std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; + std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << " offset=" << tensor->view_offs << std::endl; if (src0 != nullptr) { - std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << std::endl; + std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << " offset=" << src0->view_offs << std::endl; } if (src1 != nullptr) { - std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << std::endl; + std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << " offset=" << src1->view_offs << std::endl; } std::cerr << "First error: result=" << first_error_result << " correct=" << first_error_correct << " i3=" << first_error[3] << " i2=" << first_error[2] << " i1=" << first_error[1] << " i0=" << first_error[0] << std::endl; std::cerr << std::endl << "Result:" << std::endl; @@ -3599,12 +4198,12 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) if (avg_err > 0.1 || std::isnan(avg_err)) { std::cerr << "ERROR: avg_err=" << avg_err << " in " << ggml_op_name(tensor->op) << " (check " << check_counter << ")" << std::endl; - std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << std::endl; + std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << " offset=" << tensor->view_offs << std::endl; if (src0 != nullptr) { - std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << std::endl; + std::cerr << "src0=" << src0 << " op=" << ggml_op_name(src0->op) << " type=" << ggml_type_name(src0->type) << " backend=" << src0->backend << " ne0=" << src0->ne[0] << " nb0=" << src0->nb[0] << " ne1=" << src0->ne[1] << " nb1=" << src0->nb[1] << " ne2=" << src0->ne[2] << " nb2=" << src0->nb[2] << " ne3=" << src0->ne[3] << " nb3=" << src0->nb[3] << " offset=" << src0->view_offs << std::endl; } if (src1 != nullptr) { - std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << std::endl; + std::cerr << "src1=" << src1 << " op=" << ggml_op_name(src1->op) << " type=" << ggml_type_name(src1->type) << " backend=" << src1->backend << " ne0=" << src1->ne[0] << " nb0=" << src1->nb[0] << " ne1=" << src1->ne[1] << " nb1=" << src1->nb[1] << " ne2=" << src1->ne[2] << " nb2=" << src1->nb[2] << " ne3=" << src1->ne[3] << " nb3=" << src1->nb[3] << " offset=" << src1->view_offs << std::endl; } std::cerr << "First error: result=" << first_error_result << " correct=" << first_error_correct << " i3=" << first_error[3] << " i2=" << first_error[2] << " i1=" << first_error[1] << " i0=" << first_error[0] << std::endl; std::cerr << std::endl << "Result:" << std::endl; @@ -3616,7 +4215,7 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) ggml_vk_print_graph_origin(tensor, done); GGML_ASSERT(false); } else { - std::cerr << check_counter << " op=" << ggml_op_name(tensor->op) << " avg_err=" << avg_err << std::endl; + std::cerr << check_counter << " " << tensor->name << " op=" << ggml_op_name(tensor->op) << " backend=" << tensor->backend << " avg_err=" << avg_err << std::endl; } free(comp_result); @@ -3720,14 +4319,19 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp ggml_vk_pipeline_allocate_descriptor_sets(*p, num_it); if (split_k > 1) { ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); + + if (vk_prealloc_split_k.size < sizeof(float) * d_ne) { + // Resize buffer + if (vk_prealloc_split_k.size > 0) { + ggml_vk_destroy_buffer(vk_prealloc_split_k); + } + vk_prealloc_split_k = ggml_vk_create_buffer(sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); + } } - vk_buffer d_X; - vk_buffer d_Y; - vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(float) * k * m, &d_X, {}); - ggml_vk_pool_malloc(sizeof(float) * k * n, &d_Y, {}); - ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); + vk_buffer d_X = ggml_vk_create_buffer(sizeof(float) * k * m, vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_buffer d_Y = ggml_vk_create_buffer(sizeof(float) * k * n, vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_buffer d_D = ggml_vk_create_buffer(sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); float* x = (float *) malloc(sizeof(float) * x_ne); float* y = (float *) malloc(sizeof(float) * y_ne); @@ -3787,9 +4391,9 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); ggml_vk_queue_cleanup(vk_device.compute_queue); - ggml_vk_pool_free(d_X); - ggml_vk_pool_free(d_Y); - ggml_vk_pool_free(d_D); + ggml_vk_destroy_buffer(d_X); + ggml_vk_destroy_buffer(d_Y); + ggml_vk_destroy_buffer(d_D); ggml_vk_pipeline_cleanup(*p); ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); @@ -3845,14 +4449,19 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp ggml_vk_pipeline_allocate_descriptor_sets(*p, num_it); if (split_k > 1) { ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); + + if (vk_prealloc_split_k.size < sizeof(float) * d_ne) { + // Resize buffer + if (vk_prealloc_split_k.size > 0) { + ggml_vk_destroy_buffer(vk_prealloc_split_k); + } + vk_prealloc_split_k = ggml_vk_create_buffer(sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); + } } - vk_buffer d_X; - vk_buffer d_Y; - vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * k * m, &d_X, {}); - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * k * n, &d_Y, {}); - ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); + vk_buffer d_X = ggml_vk_create_buffer(sizeof(float) * k * m, vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_buffer d_Y = ggml_vk_create_buffer(sizeof(float) * k * n, vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_buffer d_D = ggml_vk_create_buffer(sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * x_ne); ggml_fp16_t* y = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * y_ne); @@ -3919,9 +4528,9 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); ggml_vk_queue_cleanup(vk_device.compute_queue); - ggml_vk_pool_free(d_X); - ggml_vk_pool_free(d_Y); - ggml_vk_pool_free(d_D); + ggml_vk_destroy_buffer(d_X); + ggml_vk_destroy_buffer(d_Y); + ggml_vk_destroy_buffer(d_D); ggml_vk_pipeline_cleanup(*p); ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); @@ -3977,14 +4586,20 @@ void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, in ggml_vk_pipeline_allocate_descriptor_sets(*p, num_it); if (split_k > 1) { ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); + + if (vk_prealloc_split_k.size < sizeof(float) * d_ne) { + // Resize buffer + if (vk_prealloc_split_k.size > 0) { + ggml_vk_destroy_buffer(vk_prealloc_split_k); + } + vk_prealloc_split_k = ggml_vk_create_buffer(sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); + } } - vk_buffer d_X; - vk_buffer d_Y; - vk_buffer d_D; - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * k * m, &d_X, {}); - ggml_vk_pool_malloc(sizeof(ggml_fp16_t) * k * n, &d_Y, {}); - ggml_vk_pool_malloc(sizeof(float) * d_ne * split_k, &d_D, {}); + vk_buffer d_X = ggml_vk_create_buffer(sizeof(float) * k * m, vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_buffer d_Y = ggml_vk_create_buffer(sizeof(float) * k * n, vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_buffer d_D = ggml_vk_create_buffer(sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); + ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * x_ne); float* y = (float *) malloc(sizeof(float) * y_ne); @@ -4048,9 +4663,9 @@ void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, in ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); ggml_vk_queue_cleanup(vk_device.compute_queue); - ggml_vk_pool_free(d_X); - ggml_vk_pool_free(d_Y); - ggml_vk_pool_free(d_D); + ggml_vk_destroy_buffer(d_X); + ggml_vk_destroy_buffer(d_Y); + ggml_vk_destroy_buffer(d_D); ggml_vk_pipeline_cleanup(*p); ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); diff --git a/ggml-vulkan.h b/ggml-vulkan.h index a4ed92e5c2f40..4a765b4a37571 100644 --- a/ggml-vulkan.h +++ b/ggml-vulkan.h @@ -10,7 +10,7 @@ void ggml_vk_init(void); void ggml_vk_preallocate_buffers_graph(struct ggml_tensor * node, struct ggml_cgraph * graph); void ggml_vk_preallocate_buffers(void); -void ggml_vk_build_graph(struct ggml_tensor * node); +void ggml_vk_build_graph(struct ggml_tensor * node, struct ggml_cgraph * graph); bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor); #ifdef GGML_VULKAN_CHECK_RESULTS void ggml_vk_check_results_0(struct ggml_compute_params * params, struct ggml_tensor * tensor); @@ -23,7 +23,13 @@ void ggml_vk_host_free(void * ptr); void ggml_vk_free_data(const struct ggml_tensor * tensor); -void ggml_vk_transform_tensor(void * data, struct ggml_tensor * tensor); +void ggml_vk_transform_tensor_temporary(void * data, struct ggml_tensor * tensor); +void ggml_vk_transform_tensor_static(void * data, struct ggml_tensor * tensor); +void ggml_vk_assign_buffer(struct ggml_tensor * tensor); +void ggml_vk_prepare_tensor(struct ggml_tensor * tensor); +void ggml_vk_cleanup(void); + +bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, const struct ggml_tensor * dst); #ifdef __cplusplus } diff --git a/ggml.c b/ggml.c index cf831146a75a9..1914d87c0b67e 100644 --- a/ggml.c +++ b/ggml.c @@ -15574,6 +15574,11 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) { n_tasks = 1; // TODO: this actually is doing nothing // the threads are still spinning } +#elif defined(GGML_USE_VULKAN) + if (ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { + n_tasks = 1; // TODO: this actually is doing nothing + // the threads are still spinning + } #elif defined(GGML_USE_CLBLAST) if (ggml_cl_can_mul_mat(node->src[0], node->src[1], node)) { n_tasks = 1; // TODO: this actually is doing nothing @@ -19139,7 +19144,7 @@ int ggml_cpu_has_wasm_simd(void) { } int ggml_cpu_has_blas(void) { -#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) || defined(GGML_USE_CUBLAS) || defined(GGML_USE_CLBLAST) +#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) || defined(GGML_USE_CUBLAS) || defined(GGML_USE_VULKAN) || defined(GGML_USE_CLBLAST) return 1; #else return 0; diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index 42c74c87a65df..c6b6701be01f9 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -266,6 +266,7 @@ int stride_b; int stride_d; int k_split; + int d_offset; } p; layout (constant_id = 1) const int BM = 64; @@ -414,7 +415,7 @@ [[unroll]] for (int cc = 0; cc < TN; cc++) { [[unroll]] for (int cr = 0; cr < TM; cr++) { if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]); + data_d[p.d_offset + k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]); } } } @@ -434,6 +435,7 @@ int M; int N; int k_num; + int d_offset; } p; void main() { @@ -452,7 +454,7 @@ result += data_a[i * p.M * p.N + idx]; } - data_d[idx] = result; + data_d[p.d_offset + idx] = result; } """ @@ -777,6 +779,8 @@ layout (push_constant) uniform parameter { int ncols; + int b_offset; + int d_offset; } p; shared FLOAT_TYPE tmp[QUANT_K]; @@ -799,8 +803,8 @@ DEQUANT_FUNC // matrix multiplication - tmp[tid] += FLOAT_TYPE(v.x) * FLOAT_TYPE(data_b[iybs + iqs + 0]); - tmp[tid] += FLOAT_TYPE(v.y) * FLOAT_TYPE(data_b[iybs + iqs + y_offset]); + tmp[tid] += FLOAT_TYPE(v.x) * FLOAT_TYPE(data_b[p.b_offset + iybs + iqs + 0]); + tmp[tid] += FLOAT_TYPE(v.y) * FLOAT_TYPE(data_b[p.b_offset + iybs + iqs + y_offset]); } // sum up partial sums and write back result @@ -812,7 +816,7 @@ barrier(); } if (tid == 0) { - dst[row] = D_TYPE(tmp[0]); + dst[p.d_offset + row] = D_TYPE(tmp[0]); } } """ @@ -828,6 +832,8 @@ layout (push_constant) uniform parameter { int ncols; + int b_offset; + int d_offset; } p; shared FLOAT_TYPE tmp[32]; @@ -862,22 +868,22 @@ FLOAT_TYPE sum1 = FLOAT_TYPE(0.0); FLOAT_TYPE sum2 = FLOAT_TYPE(0.0); for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { - sum1 += FLOAT_TYPE(data_b[y_idx + l + 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 0) & 3) - + FLOAT_TYPE(data_b[y_idx + l + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 0) & 3) - + FLOAT_TYPE(data_b[y_idx + l + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 2) & 3) - + FLOAT_TYPE(data_b[y_idx + l + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 2) & 3) - + FLOAT_TYPE(data_b[y_idx + l + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 4) & 3) - + FLOAT_TYPE(data_b[y_idx + l + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 4) & 3) - + FLOAT_TYPE(data_b[y_idx + l + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 6) & 3) - + FLOAT_TYPE(data_b[y_idx + l +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 6) & 3); - sum2 += FLOAT_TYPE(data_b[y_idx + l + 0]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 0] >> 4) & 0xF) - + FLOAT_TYPE(data_b[y_idx + l + 16]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 1] >> 4) & 0xF) - + FLOAT_TYPE(data_b[y_idx + l + 32]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 2] >> 4) & 0xF) - + FLOAT_TYPE(data_b[y_idx + l + 48]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 3] >> 4) & 0xF) - + FLOAT_TYPE(data_b[y_idx + l + 64]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 4] >> 4) & 0xF) - + FLOAT_TYPE(data_b[y_idx + l + 80]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 5] >> 4) & 0xF) - + FLOAT_TYPE(data_b[y_idx + l + 96]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 6] >> 4) & 0xF) - + FLOAT_TYPE(data_b[y_idx + l +112]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 7] >> 4) & 0xF); + sum1 += FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 0) & 3) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 0) & 3) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 2) & 3) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 2) & 3) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 4) & 3) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 4) & 3) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 6) & 3) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 6) & 3); + sum2 += FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 0]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 0] >> 4) & 0xF) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 16]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 1] >> 4) & 0xF) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 32]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 2] >> 4) & 0xF) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 48]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 3] >> 4) & 0xF) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 64]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 4] >> 4) & 0xF) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 80]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 5] >> 4) & 0xF) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 96]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 6] >> 4) & 0xF) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l +112]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 7] >> 4) & 0xF); } tmp[16 * ix + tid] += dall * sum1 - dmin * sum2; } @@ -891,7 +897,7 @@ barrier(); } if (tid == 0) { - dst[row] = D_TYPE(tmp[0]); + dst[p.d_offset + row] = D_TYPE(tmp[0]); } } """ @@ -905,6 +911,8 @@ layout (push_constant) uniform parameter { int ncols; + int b_offset; + int d_offset; } p; shared FLOAT_TYPE tmp[32]; @@ -940,14 +948,14 @@ FLOAT_TYPE sum = FLOAT_TYPE(0.0); for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) { - sum += FLOAT_TYPE(data_b[y_idx + l + 0]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[0] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] ) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 0)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[y_idx + l + 32]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[2] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 1)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[y_idx + l + 64]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[4] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 2)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[y_idx + l + 96]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[6] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 3)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[y_idx + l + 16]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[1] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] ) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 0)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[y_idx + l + 48]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[3] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 1)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[y_idx + l + 80]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[5] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 2)) != 0) ? 0 : 4)) - + FLOAT_TYPE(data_b[y_idx + l +112]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[7] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 3)) != 0) ? 0 : 4)); + sum += FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 0]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[0] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] ) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 0)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 32]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[2] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 1)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 64]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[4] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 2)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 96]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[6] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l ] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l ] & (m << 3)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 16]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[1] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] ) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 0)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 48]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[3] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 1)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l + 80]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[5] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 2)) != 0) ? 0 : 4)) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l +112]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[7] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 3)) != 0) ? 0 : 4)); } tmp[16 * ix + tid] += d * sum; } @@ -961,7 +969,7 @@ barrier(); } if (tid == 0) { - dst[row] = D_TYPE(tmp[0]); + dst[p.d_offset + row] = D_TYPE(tmp[0]); } } """ @@ -975,6 +983,8 @@ layout (push_constant) uniform parameter { int ncols; + int b_offset; + int d_offset; } p; shared FLOAT_TYPE tmp[32]; @@ -1037,15 +1047,15 @@ const uint8_t q4_14 = uint8_t(data_a[ib0 + i].qs[q_offset + 66] >> 4); const uint8_t q4_15 = uint8_t(data_a[ib0 + i].qs[q_offset + 67] >> 4); - const FLOAT_TYPE sx = FLOAT_TYPE(data_b[y1_idx] * q4_0 + data_b[y1_idx + 1] * q4_1 + data_b[y1_idx + 2] * q4_2 + data_b[y1_idx + 3] * q4_3); - const FLOAT_TYPE sy = FLOAT_TYPE(data_b[y1_idx + 32] * q4_4 + data_b[y1_idx + 33] * q4_5 + data_b[y1_idx + 34] * q4_6 + data_b[y1_idx + 35] * q4_7); - const FLOAT_TYPE sz = FLOAT_TYPE(data_b[y2_idx] * q4_8 + data_b[y2_idx + 1] * q4_9 + data_b[y2_idx + 2] * q4_10 + data_b[y2_idx + 3] * q4_11); - const FLOAT_TYPE sw = FLOAT_TYPE(data_b[y2_idx + 32] * q4_12 + data_b[y2_idx + 33] * q4_13 + data_b[y2_idx + 34] * q4_14 + data_b[y2_idx + 35] * q4_15); + const FLOAT_TYPE sx = FLOAT_TYPE(data_b[p.b_offset + y1_idx] * q4_0 + data_b[p.b_offset + y1_idx + 1] * q4_1 + data_b[p.b_offset + y1_idx + 2] * q4_2 + data_b[p.b_offset + y1_idx + 3] * q4_3); + const FLOAT_TYPE sy = FLOAT_TYPE(data_b[p.b_offset + y1_idx + 32] * q4_4 + data_b[p.b_offset + y1_idx + 33] * q4_5 + data_b[p.b_offset + y1_idx + 34] * q4_6 + data_b[p.b_offset + y1_idx + 35] * q4_7); + const FLOAT_TYPE sz = FLOAT_TYPE(data_b[p.b_offset + y2_idx] * q4_8 + data_b[p.b_offset + y2_idx + 1] * q4_9 + data_b[p.b_offset + y2_idx + 2] * q4_10 + data_b[p.b_offset + y2_idx + 3] * q4_11); + const FLOAT_TYPE sw = FLOAT_TYPE(data_b[p.b_offset + y2_idx + 32] * q4_12 + data_b[p.b_offset + y2_idx + 33] * q4_13 + data_b[p.b_offset + y2_idx + 34] * q4_14 + data_b[p.b_offset + y2_idx + 35] * q4_15); const FLOAT_TYPE smin = FLOAT_TYPE( - data_b[y1_idx ] * sc2 + data_b[y1_idx + 32] * sc3 + data_b[y2_idx ] * sc6 + data_b[y2_idx + 32] * sc7 - + data_b[y1_idx + 1] * sc2 + data_b[y1_idx + 33] * sc3 + data_b[y2_idx + 1] * sc6 + data_b[y2_idx + 33] * sc7 - + data_b[y1_idx + 2] * sc2 + data_b[y1_idx + 34] * sc3 + data_b[y2_idx + 2] * sc6 + data_b[y2_idx + 34] * sc7 - + data_b[y1_idx + 3] * sc2 + data_b[y1_idx + 35] * sc3 + data_b[y2_idx + 3] * sc6 + data_b[y2_idx + 35] * sc7 + data_b[p.b_offset + y1_idx ] * sc2 + data_b[p.b_offset + y1_idx + 32] * sc3 + data_b[p.b_offset + y2_idx ] * sc6 + data_b[p.b_offset + y2_idx + 32] * sc7 + + data_b[p.b_offset + y1_idx + 1] * sc2 + data_b[p.b_offset + y1_idx + 33] * sc3 + data_b[p.b_offset + y2_idx + 1] * sc6 + data_b[p.b_offset + y2_idx + 33] * sc7 + + data_b[p.b_offset + y1_idx + 2] * sc2 + data_b[p.b_offset + y1_idx + 34] * sc3 + data_b[p.b_offset + y2_idx + 2] * sc6 + data_b[p.b_offset + y2_idx + 34] * sc7 + + data_b[p.b_offset + y1_idx + 3] * sc2 + data_b[p.b_offset + y1_idx + 35] * sc3 + data_b[p.b_offset + y2_idx + 3] * sc6 + data_b[p.b_offset + y2_idx + 35] * sc7 ); tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin); #else @@ -1058,13 +1068,13 @@ const uint8_t q4_6 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] >> 4); const uint8_t q4_7 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] >> 4); - const FLOAT_TYPE sx = FLOAT_TYPE(data_b[y1_idx ] * q4_0 + data_b[y1_idx + 1] * q4_1); - const FLOAT_TYPE sy = FLOAT_TYPE(data_b[y1_idx + 32] * q4_2 + data_b[y1_idx + 33] * q4_3); - const FLOAT_TYPE sz = FLOAT_TYPE(data_b[y2_idx ] * q4_4 + data_b[y2_idx + 1] * q4_5); - const FLOAT_TYPE sw = FLOAT_TYPE(data_b[y2_idx + 32] * q4_6 + data_b[y2_idx + 33] * q4_7); + const FLOAT_TYPE sx = FLOAT_TYPE(data_b[p.b_offset + y1_idx ] * q4_0 + data_b[p.b_offset + y1_idx + 1] * q4_1); + const FLOAT_TYPE sy = FLOAT_TYPE(data_b[p.b_offset + y1_idx + 32] * q4_2 + data_b[p.b_offset + y1_idx + 33] * q4_3); + const FLOAT_TYPE sz = FLOAT_TYPE(data_b[p.b_offset + y2_idx ] * q4_4 + data_b[p.b_offset + y2_idx + 1] * q4_5); + const FLOAT_TYPE sw = FLOAT_TYPE(data_b[p.b_offset + y2_idx + 32] * q4_6 + data_b[p.b_offset + y2_idx + 33] * q4_7); const FLOAT_TYPE smin = FLOAT_TYPE( - data_b[y1_idx] * sc2 + data_b[y1_idx + 32] * sc3 + data_b[y2_idx] * sc6 + data_b[y2_idx + 32] * sc7 - + data_b[y1_idx + 1] * sc2 + data_b[y1_idx + 33] * sc3 + data_b[y2_idx + 1] * sc6 + data_b[y2_idx + 33] * sc7 + data_b[p.b_offset + y1_idx] * sc2 + data_b[p.b_offset + y1_idx + 32] * sc3 + data_b[p.b_offset + y2_idx] * sc6 + data_b[p.b_offset + y2_idx + 32] * sc7 + + data_b[p.b_offset + y1_idx + 1] * sc2 + data_b[p.b_offset + y1_idx + 33] * sc3 + data_b[p.b_offset + y2_idx + 1] * sc6 + data_b[p.b_offset + y2_idx + 33] * sc7 ); tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * FLOAT_TYPE(data_a[ib0 + i].scales[v_im] & 0x3f) + sy * FLOAT_TYPE(data_a[ib0 + i].scales[v_im + 1] & 0x3f) + sz * FLOAT_TYPE((data_a[ib0 + i].scales[v_im + 4] & 0x0f) | ((data_a[ib0 + i].scales[v_im] & 0xc0) >> 2)) + sw * FLOAT_TYPE((data_a[ib0 + i].scales[v_im + 5] & 0x0f) | ((data_a[ib0 + i].scales[v_im + 1] & 0xc0) >> 2))) - dmin * smin); @@ -1080,7 +1090,7 @@ barrier(); } if (tid == 0) { - dst[row] = D_TYPE(tmp[0]); + dst[p.d_offset + row] = D_TYPE(tmp[0]); } } """ @@ -1094,6 +1104,8 @@ layout (push_constant) uniform parameter { int ncols; + int b_offset; + int d_offset; } p; shared FLOAT_TYPE tmp[32]; @@ -1156,32 +1168,32 @@ const uint8_t q4_15 = uint8_t(data_a[ib0 + i].qs[q_offset + 81] >> 4); const FLOAT_TYPE sx = FLOAT_TYPE( - data_b[y1_idx ] * (q4_0 + (((data_a[ib0 + i].qh[l0 ] & hm1) != 0) ? 16 : 0)) - + data_b[y1_idx + 1] * (q4_1 + (((data_a[ib0 + i].qh[l0 + 1] & hm1) != 0) ? 16 : 0)) - + data_b[y1_idx + 16] * (q4_2 + (((data_a[ib0 + i].qh[l0 + 16] & hm1) != 0) ? 16 : 0)) - + data_b[y1_idx + 17] * (q4_3 + (((data_a[ib0 + i].qh[l0 + 17] & hm1) != 0) ? 16 : 0)) + data_b[p.b_offset + y1_idx ] * (q4_0 + (((data_a[ib0 + i].qh[l0 ] & hm1) != 0) ? 16 : 0)) + + data_b[p.b_offset + y1_idx + 1] * (q4_1 + (((data_a[ib0 + i].qh[l0 + 1] & hm1) != 0) ? 16 : 0)) + + data_b[p.b_offset + y1_idx + 16] * (q4_2 + (((data_a[ib0 + i].qh[l0 + 16] & hm1) != 0) ? 16 : 0)) + + data_b[p.b_offset + y1_idx + 17] * (q4_3 + (((data_a[ib0 + i].qh[l0 + 17] & hm1) != 0) ? 16 : 0)) ); const FLOAT_TYPE sy = FLOAT_TYPE( - data_b[y1_idx + 32] * (q4_4 + (((data_a[ib0 + i].qh[l0 ] & (hm1 << 1)) != 0) ? 16 : 0)) - + data_b[y1_idx + 33] * (q4_5 + (((data_a[ib0 + i].qh[l0 + 1] & (hm1 << 1)) != 0) ? 16 : 0)) - + data_b[y1_idx + 48] * (q4_6 + (((data_a[ib0 + i].qh[l0 + 16] & (hm1 << 1)) != 0) ? 16 : 0)) - + data_b[y1_idx + 49] * (q4_7 + (((data_a[ib0 + i].qh[l0 + 17] & (hm1 << 1)) != 0) ? 16 : 0)) + data_b[p.b_offset + y1_idx + 32] * (q4_4 + (((data_a[ib0 + i].qh[l0 ] & (hm1 << 1)) != 0) ? 16 : 0)) + + data_b[p.b_offset + y1_idx + 33] * (q4_5 + (((data_a[ib0 + i].qh[l0 + 1] & (hm1 << 1)) != 0) ? 16 : 0)) + + data_b[p.b_offset + y1_idx + 48] * (q4_6 + (((data_a[ib0 + i].qh[l0 + 16] & (hm1 << 1)) != 0) ? 16 : 0)) + + data_b[p.b_offset + y1_idx + 49] * (q4_7 + (((data_a[ib0 + i].qh[l0 + 17] & (hm1 << 1)) != 0) ? 16 : 0)) ); const FLOAT_TYPE sz = FLOAT_TYPE( - data_b[y2_idx ] * (q4_8 + (((data_a[ib0 + i].qh[l0 ] & hm2) != 0) ? 16 : 0)) - + data_b[y2_idx + 1] * (q4_9 + (((data_a[ib0 + i].qh[l0 + 1] & hm2) != 0) ? 16 : 0)) - + data_b[y2_idx + 16] * (q4_10 + (((data_a[ib0 + i].qh[l0 + 16] & hm2) != 0) ? 16 : 0)) - + data_b[y2_idx + 17] * (q4_11 + (((data_a[ib0 + i].qh[l0 + 17] & hm2) != 0) ? 16 : 0)) + data_b[p.b_offset + y2_idx ] * (q4_8 + (((data_a[ib0 + i].qh[l0 ] & hm2) != 0) ? 16 : 0)) + + data_b[p.b_offset + y2_idx + 1] * (q4_9 + (((data_a[ib0 + i].qh[l0 + 1] & hm2) != 0) ? 16 : 0)) + + data_b[p.b_offset + y2_idx + 16] * (q4_10 + (((data_a[ib0 + i].qh[l0 + 16] & hm2) != 0) ? 16 : 0)) + + data_b[p.b_offset + y2_idx + 17] * (q4_11 + (((data_a[ib0 + i].qh[l0 + 17] & hm2) != 0) ? 16 : 0)) ); const FLOAT_TYPE sw = FLOAT_TYPE( - data_b[y2_idx + 32] * (q4_12 + (((data_a[ib0 + i].qh[l0 ] & (hm2 << 1)) != 0) ? 16 : 0)) - + data_b[y2_idx + 33] * (q4_13 + (((data_a[ib0 + i].qh[l0 + 1] & (hm2 << 1)) != 0) ? 16 : 0)) - + data_b[y2_idx + 48] * (q4_14 + (((data_a[ib0 + i].qh[l0 + 16] & (hm2 << 1)) != 0) ? 16 : 0)) - + data_b[y2_idx + 49] * (q4_15 + (((data_a[ib0 + i].qh[l0 + 17] & (hm2 << 1)) != 0) ? 16 : 0)) + data_b[p.b_offset + y2_idx + 32] * (q4_12 + (((data_a[ib0 + i].qh[l0 ] & (hm2 << 1)) != 0) ? 16 : 0)) + + data_b[p.b_offset + y2_idx + 33] * (q4_13 + (((data_a[ib0 + i].qh[l0 + 1] & (hm2 << 1)) != 0) ? 16 : 0)) + + data_b[p.b_offset + y2_idx + 48] * (q4_14 + (((data_a[ib0 + i].qh[l0 + 16] & (hm2 << 1)) != 0) ? 16 : 0)) + + data_b[p.b_offset + y2_idx + 49] * (q4_15 + (((data_a[ib0 + i].qh[l0 + 17] & (hm2 << 1)) != 0) ? 16 : 0)) ); const FLOAT_TYPE smin = FLOAT_TYPE( - (data_b[y1_idx] + data_b[y1_idx + 1] + data_b[y1_idx + 16] + data_b[y1_idx + 17]) * sc2 + (data_b[y1_idx + 32] + data_b[y1_idx + 33] + data_b[y1_idx + 48] + data_b[y1_idx + 49]) * sc3 - + (data_b[y2_idx] + data_b[y2_idx + 1] + data_b[y2_idx + 16] + data_b[y2_idx + 17]) * sc6 + (data_b[y2_idx + 32] + data_b[y2_idx + 33] + data_b[y2_idx + 48] + data_b[y2_idx + 49]) * sc7 + (data_b[p.b_offset + y1_idx] + data_b[p.b_offset + y1_idx + 1] + data_b[p.b_offset + y1_idx + 16] + data_b[p.b_offset + y1_idx + 17]) * sc2 + (data_b[p.b_offset + y1_idx + 32] + data_b[p.b_offset + y1_idx + 33] + data_b[p.b_offset + y1_idx + 48] + data_b[p.b_offset + y1_idx + 49]) * sc3 + + (data_b[p.b_offset + y2_idx] + data_b[p.b_offset + y2_idx + 1] + data_b[p.b_offset + y2_idx + 16] + data_b[p.b_offset + y2_idx + 17]) * sc6 + (data_b[p.b_offset + y2_idx + 32] + data_b[p.b_offset + y2_idx + 33] + data_b[p.b_offset + y2_idx + 48] + data_b[p.b_offset + y2_idx + 49]) * sc7 ); tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin); } @@ -1195,7 +1207,7 @@ barrier(); } if (tid == 0) { - dst[row] = D_TYPE(tmp[0]); + dst[p.d_offset + row] = D_TYPE(tmp[0]); } } """ @@ -1209,6 +1221,8 @@ layout (push_constant) uniform parameter { int ncols; + int b_offset; + int d_offset; } p; shared FLOAT_TYPE tmp[32]; @@ -1248,22 +1262,22 @@ const FLOAT_TYPE d = FLOAT_TYPE(data_a[ib0 + i].d); #if K_QUANTS_PER_ITERATION == 1 - FLOAT_TYPE sum = FLOAT_TYPE(data_b[y_idx + 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 0] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x03) << 4)) - 32) - + FLOAT_TYPE(data_b[y_idx + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x03) << 4)) - 32) - + FLOAT_TYPE(data_b[y_idx + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x0c) << 2)) - 32) - + FLOAT_TYPE(data_b[y_idx + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x0c) << 2)) - 32) - + FLOAT_TYPE(data_b[y_idx + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 0] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x30) >> 0)) - 32) - + FLOAT_TYPE(data_b[y_idx + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x30) >> 0)) - 32) - + FLOAT_TYPE(data_b[y_idx + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0xc0) >> 2)) - 32) - + FLOAT_TYPE(data_b[y_idx +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32); + FLOAT_TYPE sum = FLOAT_TYPE(data_b[p.b_offset + y_idx + 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 0] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x03) << 4)) - 32) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x03) << 4)) - 32) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x0c) << 2)) - 32) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x0c) << 2)) - 32) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 0] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0x30) >> 0)) - 32) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x30) >> 0)) - 32) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 0] & 0xc0) >> 2)) - 32) + + FLOAT_TYPE(data_b[p.b_offset + y_idx +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48] >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32); tmp[16 * ix + tid] += sum; #else FLOAT_TYPE sum = FLOAT_TYPE(0.0); [[unroll]] for (int l = 0; l < 4; ++l) { - sum += FLOAT_TYPE(data_b[y_idx + l+ 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32) - + FLOAT_TYPE(data_b[y_idx + l+32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) - + FLOAT_TYPE(data_b[y_idx + l+64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0] >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32) - + FLOAT_TYPE(data_b[y_idx + l+96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32] >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32); + sum += FLOAT_TYPE(data_b[p.b_offset + y_idx + l+ 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l+32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l+64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0] >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32) + + FLOAT_TYPE(data_b[p.b_offset + y_idx + l+96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32] >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32); } tmp[16 * ix + tid] += sum; #endif @@ -1278,7 +1292,156 @@ barrier(); } if (tid == 0) { - dst[row] = D_TYPE(tmp[0]); + dst[p.d_offset + row] = D_TYPE(tmp[0]); + } +} +""" + +mul_mat_p021_src = """#version 450 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require + +#define BLOCK_SIZE 32 +#define FLOAT_TYPE float + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; +layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; + +layout (push_constant) uniform parameter +{ + uint ncols_x; + uint nrows_x; + uint nchannels_x; + uint nchannels_y; + uint b_offset; + uint d_offset; +} p; + +shared FLOAT_TYPE tmp[BLOCK_SIZE]; + +void main() { + const uint tid = gl_LocalInvocationID.x; + const uint row_x = gl_GlobalInvocationID.y; + const uint channel = gl_GlobalInvocationID.z; + const uint channel_x = channel / (p.nchannels_y / p.nchannels_x); + + const uint nrows_y = p.ncols_x; + const uint nrows_dst = p.nrows_x; + const uint row_dst = row_x; + + tmp[tid] = FLOAT_TYPE(0.0f); + + for (uint col_x0 = 0; col_x0 < p.ncols_x; col_x0 += BLOCK_SIZE) { + const uint col_x = col_x0 + tid; + + if (col_x >= p.ncols_x) { + break; + } + + // x is transposed and permuted + const uint ix = row_x*p.nchannels_x*p.ncols_x + channel_x*p.ncols_x + col_x; + const FLOAT_TYPE xi = FLOAT_TYPE(data_a[ix]); + + const uint row_y = col_x; + + // y is not transposed but permuted + const uint iy = channel*nrows_y + row_y; + + tmp[tid] += xi * FLOAT_TYPE(data_b[iy]); + } + + // dst is not transposed and not permuted + const uint idst = channel*nrows_dst + row_dst; + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + + if (tid == 0) { + dst[idst] = tmp[0]; + } +} +""" + + +mul_mat_nc_src = """#version 450 + +#extension GL_EXT_control_flow_attributes : enable +#extension GL_EXT_shader_16bit_storage : require + +#define BLOCK_SIZE 32 +#define FLOAT_TYPE float + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer B {B_TYPE data_b[];}; +layout (binding = 2) writeonly buffer D {D_TYPE dst[];}; + +layout (push_constant) uniform parameter +{ + uint ncols_x; + uint nrows_x; + uint row_stride_x; + uint channel_stride_x; + uint channel_x_divisor; + uint b_offset; + uint d_offset; +} p; + +shared FLOAT_TYPE tmp[BLOCK_SIZE]; + +void main() { + const uint tid = gl_LocalInvocationID.x; + const uint row_x = gl_GlobalInvocationID.y; + const uint channel = gl_GlobalInvocationID.z; + const uint channel_x = channel / p.channel_x_divisor; + + const uint nrows_y = p.ncols_x; + const uint nrows_dst = p.nrows_x; + const uint row_dst = row_x; + + const uint idst = channel*nrows_dst + row_dst; + + tmp[tid] = 0.0f; + + for (uint col_x0 = 0; col_x0 < p.ncols_x; col_x0 += BLOCK_SIZE) { + const uint col_x = col_x0 + tid; + + if (col_x >= p.ncols_x) { + break; + } + + const uint row_y = col_x; + + const uint ix = channel_x*p.channel_stride_x + row_x*p.row_stride_x + col_x; + const uint iy = channel*nrows_y + row_y; + + const FLOAT_TYPE xi = FLOAT_TYPE(data_a[ix]); + + tmp[tid] += xi * FLOAT_TYPE(data_b[iy]); + } + + // sum up partial sums and write back result + barrier(); + [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { + if (tid < s) { + tmp[tid] += tmp[tid + s]; + } + barrier(); + } + + if (tid == 0) { + dst[idst] = tmp[0]; } } """ @@ -1416,7 +1579,7 @@ """ # CPY -cpy_head = """#version 450 +cpy_src = """#version 450 #extension GL_EXT_shader_16bit_storage : require @@ -1425,9 +1588,10 @@ uint ne; uint ne00; uint ne01; uint nb00; uint nb01; uint nb02; uint ne10; uint ne11; uint nb10; uint nb11; uint nb12; + uint d_offset; } p; -""" -cpy_body = """layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; @@ -1446,8 +1610,14 @@ const uint i11 = (gl_GlobalInvocationID.x - i12*p.ne11*p.ne10) / p.ne10; const uint i10 = gl_GlobalInvocationID.x - i12*p.ne11*p.ne10 - i11*p.ne10; const uint d_idx = i10*p.nb10 + i11*p.nb11 + i12*p.nb12; - - data_d[d_idx] = D_TYPE(data_a[a_idx]); +""" +cpy_end = """ + data_d[p.d_offset + d_idx] = D_TYPE(data_a[a_idx]); +} +""" +# Causes an optimization error otherwise +cpy_f16_f16_end = """ + data_d[p.d_offset + d_idx] = data_a[a_idx]; } """ @@ -1488,6 +1658,102 @@ } """ +# UNARY +gelu_body = """ +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const float GELU_COEF_A = 0.044715f; + const float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f; + const uint i = gl_GlobalInvocationID.x; + + if (i >= p.KX) { + return; + } + + const float xi = float(data_a[i]); + data_d[i] = D_TYPE(0.5f*xi*(1.0f + tanh(SQRT_2_OVER_PI*xi*(1.0f + GELU_COEF_A*xi*xi)))); +} +""" + +silu_body = """ +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const uint i = gl_GlobalInvocationID.x; + + if (i >= p.KX) { + return; + } + + const float xi = float(data_a[i]); + data_d[i] = D_TYPE(xi / (1.0f + exp(-xi))); +} +""" + +relu_body = """ +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const uint i = gl_GlobalInvocationID.x; + + if (i >= p.KX) { + return; + } + + data_d[i] = max(float(data_a[i]), 0); +} +""" + +# DIAG_MASK_INF +diag_mask_inf_head = """#version 450 + +#extension GL_EXT_shader_16bit_storage : require + +layout (push_constant) uniform parameter +{ + uint ncols; + uint rows_per_channel; + uint n_past; +} p; +""" +diag_mask_inf_body = """ +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +void main() { + const uint col = gl_GlobalInvocationID.y; + const uint row = gl_GlobalInvocationID.x; + + if (col >= p.ncols) { + return; + } + + const uint i = row*p.ncols + col; + data_d[i] = D_TYPE(data_a[i] - float(uint(col > p.n_past + row % p.rows_per_channel) * 0xFFFFFFFF)); +} +""" + +# NORMS norm_body = """ #extension GL_EXT_control_flow_attributes : enable #define BLOCK_SIZE 512 @@ -1500,8 +1766,8 @@ shared vec2 sum[BLOCK_SIZE]; void main() { - const uint row = uint(gl_WorkGroupID.x); - const uint tid = uint(gl_LocalInvocationID.x); + const uint row = gl_WorkGroupID.x; + const uint tid = gl_LocalInvocationID.x; const float eps = 1e-5f; @@ -1526,7 +1792,7 @@ const float var = sum[0].y / p.KX - mean * mean; const float inv_std = inversesqrt(var + 1e-5f); - for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { + [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { data_d[row*p.KX + col] = D_TYPE((float(data_a[row*p.KX + col]) - mean) * inv_std); } } @@ -1544,8 +1810,8 @@ shared FLOAT_TYPE sum[BLOCK_SIZE]; void main() { - const uint row = uint(gl_WorkGroupID.x); - const uint tid = uint(gl_LocalInvocationID.x); + const uint row = gl_WorkGroupID.x; + const uint tid = gl_LocalInvocationID.x; sum[tid] = FLOAT_TYPE(0.0f); // partial sum for thread in warp @@ -1566,12 +1832,140 @@ const FLOAT_TYPE mean = sum[0] / FLOAT_TYPE(p.KX); const FLOAT_TYPE scale = inversesqrt(mean + FLOAT_TYPE(p.param1)); - for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { + [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { data_d[row*p.KX + col] = D_TYPE(scale * FLOAT_TYPE(data_a[row*p.KX + col])); } } """ +# SOFT_MAX +soft_max_body = """ +#extension GL_EXT_control_flow_attributes : enable +#define BLOCK_SIZE 512 + +layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; + +shared FLOAT_TYPE vals[BLOCK_SIZE]; + +void main() { + const uint row = gl_WorkGroupID.x; + const uint tid = gl_LocalInvocationID.x; + + // Find max + vals[tid] = uintBitsToFloat(0xFF800000); + + [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { + vals[tid] = max(vals[tid], FLOAT_TYPE(data_a[row * p.KX + col])); + } + + barrier(); + [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { + if (tid < s) { + vals[tid] = max(vals[tid], vals[tid + s]); + } + barrier(); + } + + const FLOAT_TYPE max_val = vals[0]; + barrier(); + + // Sum up values + vals[tid] = FLOAT_TYPE(0.0f); + + [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { + const uint i = row*p.KX + col; + const FLOAT_TYPE val = exp(FLOAT_TYPE(data_a[i]) - max_val); + vals[tid] += val; + data_d[i] = D_TYPE(val); + } + + barrier(); + [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { + if (tid < s) { + vals[tid] += vals[tid + s]; + } + barrier(); + } + + const D_TYPE divisor = D_TYPE(vals[0]); + + [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { + data_d[row*p.KX + col] /= divisor; + } +} +""" + +# ROPE +rope_src = """ +#version 450 + +#extension GL_EXT_shader_16bit_storage : require + +layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer Y {int data_b[];}; +layout (binding = 2) writeonly buffer D {D_TYPE data_d[];}; + +layout (push_constant) uniform parameter { + uint ncols; + float freq_scale; + uint p_delta_rows; + float freq_base; + float ext_factor; + float attn_factor; + float corr_dims[4]; +} p; + +float rope_yarn_ramp(const float low, const float high, const uint i0) { + const float y = (i0 / 2 - low) / max(0.001f, high - low); + return 1.0f - min(1.0f, max(0.0f, y)); +} + +void rope_yarn(const float theta_extrap, const uint i0, out float cos_theta, out float sin_theta) { + float mscale = p.attn_factor; + // Get n-d rotational scaling corrected for extrapolation + float theta_interp = p.freq_scale * theta_extrap; + float theta = theta_interp; + if (p.ext_factor != 0.0f) { + float ramp_mix = rope_yarn_ramp(p.corr_dims[0], p.corr_dims[1], i0) * p.ext_factor; + theta = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix; + + // Get n-d magnitude scaling corrected for interpolation + mscale *= 1.0f + 0.1f * log(1.0f / p.freq_scale); + } + cos_theta = cos(theta) * mscale; + sin_theta = sin(theta) * mscale; +} + +void main() { + const uint col = gl_GlobalInvocationID.y * 2; + const uint row = gl_GlobalInvocationID.x; + + if (col >= p.ncols) { + return; + } + + const uint i = row*p.ncols + col; + const uint i2 = row/p.p_delta_rows; + + const int pos = data_b[i2]; + const float theta_base = pos * pow(p.freq_base, -float(col)/p.ncols); + + float cos_theta, sin_theta; + rope_yarn(theta_base, col, cos_theta, sin_theta); + + const float x0 = float(data_a[i + 0]); + const float x1 = float(data_a[i + 1]); + + data_d[i + 0] = D_TYPE(x0*cos_theta - x1*sin_theta); + data_d[i + 1] = D_TYPE(x0*sin_theta + x1*cos_theta); +} +""" + GLSLC = "glslc" VK_NUM_TYPES = 16 @@ -1800,12 +2194,16 @@ async def main(): tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float16_t", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) + tasks.append(string_to_spv(f"mul_mat_vec_p021_f16_f32", mul_mat_p021_src, {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, True)) + tasks.append(string_to_spv(f"mul_mat_vec_nc_f16_f32", mul_mat_nc_src, {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, True)) + # Norms tasks.append(string_to_spv("norm_f32", f"{generic_head}\n{shader_f32}\n{norm_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) tasks.append(string_to_spv("rms_norm_f32", f"{generic_head}\n{shader_f32}\n{rms_norm_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) - tasks.append(string_to_spv("cpy_f32_f32", f"{cpy_head}\n{shader_f32}\n{cpy_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) - tasks.append(string_to_spv("cpy_f32_f16", f"{cpy_head}\n{shader_f32}\n{cpy_body}", {"A_TYPE": "float", "D_TYPE": "float16_t"}, True)) + tasks.append(string_to_spv("cpy_f32_f32", f"{cpy_src}\n{cpy_end}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) + tasks.append(string_to_spv("cpy_f32_f16", f"{cpy_src}\n{cpy_end}", {"A_TYPE": "float", "D_TYPE": "float16_t"}, True)) + tasks.append(string_to_spv("cpy_f16_f16", f"{cpy_src}\n{cpy_f16_f16_end}", {"A_TYPE": "float16_t", "D_TYPE": "float16_t"}, True)) tasks.append(string_to_spv("add_f32", f"{generic_head}\n{shader_f32}\n{add_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, True)) @@ -1818,6 +2216,17 @@ async def main(): tasks.append(string_to_spv("clamp_f32", f"{generic_head}\n{shader_f32}\n{clamp_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) + tasks.append(string_to_spv("gelu_f32", f"{generic_head}\n{shader_f32}\n{gelu_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) + tasks.append(string_to_spv("silu_f32", f"{generic_head}\n{shader_f32}\n{silu_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) + tasks.append(string_to_spv("relu_f32", f"{generic_head}\n{shader_f32}\n{relu_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) + + tasks.append(string_to_spv("diag_mask_inf_f32", f"{diag_mask_inf_head}\n{shader_f32}\n{diag_mask_inf_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) + + tasks.append(string_to_spv("soft_max_f32", f"{generic_head}\n{shader_f32}\n{soft_max_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) + + tasks.append(string_to_spv("rope_f32", rope_src, {"A_TYPE": "float", "D_TYPE": "float"}, True)) + tasks.append(string_to_spv("rope_f16", rope_src, {"A_TYPE": "float16_t", "D_TYPE": "float16_t"}, True)) + await asyncio.gather(*tasks) with open("ggml-vulkan-shaders.hpp", "w") as f: diff --git a/llama.cpp b/llama.cpp index 3fcc2da91cc6f..0b36ff53ec19b 100644 --- a/llama.cpp +++ b/llama.cpp @@ -1,6 +1,8 @@ #define LLAMA_API_INTERNAL #include "llama.h" +#include + #include "unicode.h" #include "ggml.h" @@ -672,22 +674,7 @@ static void ggml_graph_compute_helper(std::vector & buf, ggml_cgraph * plan.work_data = buf.data(); } -#ifdef GGML_USE_VULKAN - for (int i = 0; i < graph->n_nodes; i++) { - ggml_vk_preallocate_buffers_graph(graph->nodes[i], graph); - } - ggml_vk_preallocate_buffers(); - - for (int i = 0; i < graph->n_nodes; i++) { - ggml_vk_build_graph(graph->nodes[i]); - } -#endif - ggml_graph_compute(graph, &plan); - -#ifdef GGML_USE_VULKAN - ggml_vk_graph_cleanup(); -#endif } // @@ -1324,6 +1311,9 @@ struct llama_kv_cache { ggml_cuda_free_data(k); ggml_cuda_free_data(v); } +#elif GGML_USE_VULKAN + ggml_vk_free_data(k); + ggml_vk_free_data(v); #endif } }; @@ -1443,9 +1433,7 @@ struct llama_model { ggml_cl_free_data(tensors_by_name[i].second); } #elif defined(GGML_USE_VULKAN) - for (size_t i = 0; i < tensors_by_name.size(); ++i) { - ggml_vk_free_data(tensors_by_name[i].second); - } + ggml_vk_cleanup(); #endif } }; @@ -1573,8 +1561,23 @@ static bool llama_kv_cache_init( LLAMA_LOG_INFO("%s: VRAM kv self = %.2f MiB\n", __func__, vram_kv_cache / 1024.0 / 1024.0); } } -#endif +#elif defined(GGML_USE_VULKAN) + size_t vram_kv_cache = 0; + if (n_gpu_layers > (int)n_layer + 1) { + ggml_vk_assign_buffer(cache.v); + LLAMA_LOG_INFO("%s: offloading v cache to GPU\n", __func__); + vram_kv_cache += ggml_nbytes(cache.v); + } + if (n_gpu_layers > (int)n_layer + 2) { + ggml_vk_assign_buffer(cache.k); + LLAMA_LOG_INFO("%s: offloading k cache to GPU\n", __func__); + vram_kv_cache += ggml_nbytes(cache.k); + } + if (vram_kv_cache > 0) { + LLAMA_LOG_INFO("%s: VRAM kv self = %.2f MiB\n", __func__, vram_kv_cache / 1024.0 / 1024.0); + } +#endif return true; } @@ -2108,7 +2111,7 @@ struct llama_model_loader { break; #elif defined(GGML_USE_VULKAN) case GGML_BACKEND_GPU: - ggml_vk_transform_tensor(cur->data, cur); + ggml_vk_transform_tensor_static(cur->data, cur); if (!use_mmap) { free(cur->data); } @@ -3355,10 +3358,10 @@ static void llm_load_tensors( LLAMA_LOG_INFO("%s: offloading non-repeating layers to GPU\n", __func__); } -#ifdef GGML_USE_CUBLAS +#if GGML_USE_CUBLAS || GGML_USE_VULKAN const int max_backend_supported_layers = hparams.n_layer + 3; const int max_offloadable_layers = hparams.n_layer + 3; -#elif GGML_USE_CLBLAST || GGML_USE_VULKAN +#elif GGML_USE_CLBLAST const int max_backend_supported_layers = hparams.n_layer + 1; const int max_offloadable_layers = hparams.n_layer + 1; #endif // GGML_USE_CUBLAS @@ -5321,6 +5324,12 @@ static struct ggml_cgraph * llama_build_graph( { OFFLOAD_FUNC_V, "GPU (CUDA) V" }, { OFFLOAD_FUNC_NR, "GPU (CUDA) NR" }, { OFFLOAD_FUNC_EMB, "GPU (CUDA) EMB" }, +#elif GGML_USE_VULKAN + { OFFLOAD_FUNC, "GPU (Vulkan)" }, + { OFFLOAD_FUNC_KQ, "GPU (Vulkan) KQ" }, + { OFFLOAD_FUNC_V, "GPU (Vulkan) V" }, + { OFFLOAD_FUNC_NR, "GPU (Vulkan) NR" }, + { OFFLOAD_FUNC_EMB, "GPU (Vulkan) EMB" }, #else { OFFLOAD_FUNC, "CPU" }, { OFFLOAD_FUNC_KQ, "CPU" }, @@ -5385,6 +5394,8 @@ static struct ggml_cgraph * llama_build_graph( // this is needed for compatibility with Metal for example #ifdef GGML_USE_CUBLAS static offload_func_t ggml_offload_gpu = ggml_cuda_assign_buffers_no_alloc; +#elif GGML_USE_VULKAN + static offload_func_t ggml_offload_gpu = ggml_vk_prepare_tensor; #else static offload_func_t ggml_offload_gpu = ggml_offload_nop; #endif @@ -5603,6 +5614,28 @@ static int llama_decode_internal( } } + // HACK: ggml-alloc may change the tensor backend when reusing a parent, so force output to be on the CPU here if needed + if (!lctx.embedding.empty()) { + embeddings->backend = GGML_BACKEND_CPU; + } + res->backend = GGML_BACKEND_CPU; +#elif GGML_USE_VULKAN + for (int i = 0; i < gf->n_leafs; i++) { + ggml_tensor * node = gf->leafs[i]; + if (node->backend == GGML_BACKEND_GPU && node->extra == nullptr) { + ggml_vk_transform_tensor_temporary(node->data, node); + } + } + + for (int i = 0; i < gf->n_nodes; i++) { + ggml_vk_preallocate_buffers_graph(gf->nodes[i], gf); + } + ggml_vk_preallocate_buffers(); + + for (int i = 0; i < gf->n_nodes; i++) { + ggml_vk_build_graph(gf->nodes[i], gf); + } + // HACK: ggml-alloc may change the tensor backend when reusing a parent, so force output to be on the CPU here if needed if (!lctx.embedding.empty()) { embeddings->backend = GGML_BACKEND_CPU; @@ -5654,6 +5687,8 @@ static int llama_decode_internal( #if GGML_USE_MPI ggml_mpi_graph_compute_post(lctx.ctx_mpi, gf, n_layer); +#elif GGML_USE_VULKAN + ggml_vk_graph_cleanup(); #endif // update the kv ring buffer From 0c708c1dca22f3b6717ae184b2a17ad6b1cca201 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 10 Dec 2023 17:56:05 +0100 Subject: [PATCH 113/142] Upload generated file ggml-vulkan-shaders.hpp, remove redundant shaders --- ggml-vulkan-shaders.hpp | 58808 ++++++++++++++++++++++++++++++++++ ggml-vulkan.cpp | 19 +- ggml_vk_generate_shaders.py | 1 - 3 files changed, 58811 insertions(+), 17 deletions(-) create mode 100644 ggml-vulkan-shaders.hpp diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp new file mode 100644 index 0000000000000..c6f4238a5cfbd --- /dev/null +++ b/ggml-vulkan-shaders.hpp @@ -0,0 +1,58808 @@ +#include + +unsigned char add_f32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x3e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, +0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, +0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0a, 0x00, 0x05, 0x00, 0x00, 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0x00, +0x38, 0x00, 0x01, 0x00, +}; +const uint64_t cpy_f32_f16_len = 2524; + +unsigned char cpy_f32_f32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xaa, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, +0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, +0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x09, 0x00, 0x05, 0x00, 0x00, 0x00, +0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, +0x09, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x96, 0x00, 0x00, 0x00, +0x9f, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, +0x11, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00, 0x09, 0x00, 0x00, 0x00, +0x0b, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x48, 0x00, 0x05, 0x00, +0x0e, 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0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, + +}; +const uint64_t dequant_f16_len = 4392; + +unsigned char dequant_f16_fp32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xc8, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x09, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, +0x16, 0x00, 0x00, 0x00, 0x52, 0x00, 0x00, 0x00, 0x62, 0x00, 0x00, 0x00, +0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, +0x00, 0x01, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x47, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 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0x00, 0x00, +0x0a, 0x01, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, 0x0a, 0x01, 0x00, 0x00, +0xf9, 0x00, 0x02, 0x00, 0x04, 0x01, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0x04, 0x01, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, + +}; +const uint64_t dequant_q2_K_fp32_len = 4056; + +unsigned char dequant_q3_K_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x3f, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x27, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x51, 0x11, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x0a, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 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0x00, +0xf5, 0x00, 0x07, 0x00, 0x11, 0x00, 0x00, 0x00, 0x3e, 0x01, 0x00, 0x00, +0x2f, 0x01, 0x00, 0x00, 0x0a, 0x00, 0x00, 0x00, 0x32, 0x01, 0x00, 0x00, +0x2f, 0x00, 0x00, 0x00, 0xf7, 0x00, 0x03, 0x00, 0x33, 0x01, 0x00, 0x00, +0x00, 0x00, 0x00, 0x00, 0xfa, 0x00, 0x04, 0x00, 0x3e, 0x01, 0x00, 0x00, +0x2d, 0x01, 0x00, 0x00, 0x33, 0x01, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0x33, 0x01, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, 0x2d, 0x01, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0x2d, 0x01, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, +0x38, 0x00, 0x01, 0x00, +}; +const uint64_t dequant_q3_K_len = 4792; + +unsigned char dequant_q3_K_fp32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x42, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x27, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x60, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 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0x30, 0x01, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, +0x38, 0x00, 0x01, 0x00, +}; +const uint64_t dequant_q3_K_fp32_len = 4828; + +unsigned char dequant_q4_0_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xf7, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x27, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x51, 0x11, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x09, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, +0x16, 0x00, 0x00, 0x00, 0x54, 0x00, 0x00, 0x00, 0x77, 0x00, 0x00, 0x00, +0x10, 0x00, 0x06, 0x00, 0x04, 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dequant_q4_0_len = 8332; + +unsigned char dequant_q4_0_fp32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x19, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, +0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, +0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, +0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x09, 0x00, +0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, +0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x16, 0x00, 0x00, 0x00, +0x55, 0x00, 0x00, 0x00, 0x78, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, +0x04, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00, +0x0c, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 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0x00, 0x4c, 0x00, 0x00, 0x00, +0x41, 0x00, 0x06, 0x00, 0x4e, 0x00, 0x00, 0x00, 0x4f, 0x00, 0x00, 0x00, +0x36, 0x00, 0x00, 0x00, 0x2b, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x00, 0x00, +0x3e, 0x00, 0x03, 0x00, 0x4f, 0x00, 0x00, 0x00, 0x4d, 0x00, 0x00, 0x00, +0xf9, 0x00, 0x02, 0x00, 0x31, 0x00, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0x31, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, + +}; +const uint64_t f32_to_f16_len = 1596; + +unsigned char f32_to_f16_fp32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x53, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x09, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 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0x01, 0x00, +}; +const uint64_t get_rows_f16_f32_len = 1988; + +unsigned char get_rows_f16_f32_fp32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x7d, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x0a, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, +0x1f, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 0x00, 0x57, 0x00, 0x00, 0x00, +0x67, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, +0x11, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00, 0x0b, 0x00, 0x00, 0x00, +0x0b, 0x00, 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0x00, 0x00, 0x62, 0x00, 0x00, 0x00, +0xf9, 0x00, 0x02, 0x00, 0x7b, 0x00, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0x7b, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, + +}; +const uint64_t get_rows_f16_f32_fp32_len = 1980; + +unsigned char get_rows_f16_fp32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x7e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x0a, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, +0x1f, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 0x00, 0x57, 0x00, 0x00, 0x00, +0x67, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 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0x00, 0x4a, 0x00, 0x00, 0x00, +0x51, 0x00, 0x05, 0x00, 0x50, 0x00, 0x00, 0x00, 0xac, 0x00, 0x00, 0x00, +0xa2, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x41, 0x00, 0x06, 0x00, +0x5e, 0x00, 0x00, 0x00, 0xad, 0x00, 0x00, 0x00, 0xa6, 0x00, 0x00, 0x00, +0x2e, 0x00, 0x00, 0x00, 0xa9, 0x00, 0x00, 0x00, 0x3e, 0x00, 0x03, 0x00, +0xad, 0x00, 0x00, 0x00, 0xac, 0x00, 0x00, 0x00, 0x80, 0x00, 0x05, 0x00, +0x06, 0x00, 0x00, 0x00, 0xb1, 0x00, 0x00, 0x00, 0xa9, 0x00, 0x00, 0x00, +0x56, 0x00, 0x00, 0x00, 0x51, 0x00, 0x05, 0x00, 0x50, 0x00, 0x00, 0x00, +0xb3, 0x00, 0x00, 0x00, 0xa2, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x41, 0x00, 0x06, 0x00, 0x5e, 0x00, 0x00, 0x00, 0xb4, 0x00, 0x00, 0x00, +0xa6, 0x00, 0x00, 0x00, 0x2e, 0x00, 0x00, 0x00, 0xb1, 0x00, 0x00, 0x00, +0x3e, 0x00, 0x03, 0x00, 0xb4, 0x00, 0x00, 0x00, 0xb3, 0x00, 0x00, 0x00, +0xf9, 0x00, 0x02, 0x00, 0xb7, 0x00, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0xb7, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, + +}; +const uint64_t get_rows_q5_0_len = 2868; + +unsigned char get_rows_q5_0_f32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xc5, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x27, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x51, 0x11, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x0a, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, +0x1f, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 0x00, 0x5c, 0x00, 0x00, 0x00, +0xa6, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, +0x11, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 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0x00, +0xb3, 0x00, 0x00, 0x00, 0xa1, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x41, 0x00, 0x06, 0x00, 0xac, 0x00, 0x00, 0x00, 0xb4, 0x00, 0x00, 0x00, +0xa5, 0x00, 0x00, 0x00, 0x2e, 0x00, 0x00, 0x00, 0xb1, 0x00, 0x00, 0x00, +0x3e, 0x00, 0x03, 0x00, 0xb4, 0x00, 0x00, 0x00, 0xb3, 0x00, 0x00, 0x00, +0xf9, 0x00, 0x02, 0x00, 0xb7, 0x00, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0xb7, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, + +}; +const uint64_t get_rows_q5_0_f32_fp32_len = 2868; + +unsigned char get_rows_q5_0_fp32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xc3, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, +0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, +0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, +0x00, 0x00, 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0x00, 0xb2, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, +0x38, 0x00, 0x01, 0x00, +}; +const uint64_t get_rows_q5_1_len = 2764; + +unsigned char get_rows_q5_1_f32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xb7, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x27, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x51, 0x11, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x0a, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, +0x1f, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 0x00, 0x5a, 0x00, 0x00, 0x00, +0xa1, 0x00, 0x00, 0x00, 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0x00, 0x41, 0x00, 0x06, 0x00, +0xa8, 0x00, 0x00, 0x00, 0xb0, 0x00, 0x00, 0x00, 0xa1, 0x00, 0x00, 0x00, +0x2e, 0x00, 0x00, 0x00, 0xad, 0x00, 0x00, 0x00, 0x3e, 0x00, 0x03, 0x00, +0xb0, 0x00, 0x00, 0x00, 0xaf, 0x00, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, +0xb3, 0x00, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, 0xb3, 0x00, 0x00, 0x00, +0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, +}; +const uint64_t get_rows_q5_1_f32_fp32_len = 2780; + +unsigned char get_rows_q5_1_fp32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xb6, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, +0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, +0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, +0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0a, 0x00, +0x05, 0x00, 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0x00, 0x00, +0x9d, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x73, 0x00, 0x04, 0x00, +0x52, 0x00, 0x00, 0x00, 0xb0, 0x00, 0x00, 0x00, 0xaf, 0x00, 0x00, 0x00, +0x41, 0x00, 0x06, 0x00, 0x5c, 0x00, 0x00, 0x00, 0xb1, 0x00, 0x00, 0x00, +0xa1, 0x00, 0x00, 0x00, 0x2e, 0x00, 0x00, 0x00, 0xad, 0x00, 0x00, 0x00, +0x3e, 0x00, 0x03, 0x00, 0xb1, 0x00, 0x00, 0x00, 0xb0, 0x00, 0x00, 0x00, +0xf9, 0x00, 0x02, 0x00, 0xb4, 0x00, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0xb4, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, + +}; +const uint64_t get_rows_q5_1_fp32_len = 2796; + +unsigned char get_rows_q8_0_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x86, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x27, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x51, 0x11, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, +0x0b, 0x00, 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0x00, 0x00, +0x3e, 0x00, 0x03, 0x00, 0x81, 0x00, 0x00, 0x00, 0x80, 0x00, 0x00, 0x00, +0xf9, 0x00, 0x02, 0x00, 0x84, 0x00, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0x84, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, + +}; +const uint64_t get_rows_q8_0_len = 2232; + +unsigned char get_rows_q8_0_f32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x89, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x27, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x51, 0x11, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x0a, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 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0x02, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, + +}; +const uint64_t matmul_f16_aligned_l_len = 11256; + +unsigned char matmul_f16_aligned_l_fp32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xcd, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x0d, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, +0x19, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 0x00, 0xc5, 0x00, 0x00, 0x00, +0xd4, 0x00, 0x00, 0x00, 0x29, 0x01, 0x00, 0x00, 0x36, 0x01, 0x00, 0x00, +0x72, 0x02, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, +0x11, 0x00, 0x00, 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0x00, 0x9e, 0x02, 0x00, 0x00, 0x12, 0x00, 0x00, 0x00, +0xf9, 0x00, 0x02, 0x00, 0x37, 0x02, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0x39, 0x02, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, 0x32, 0x02, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0x32, 0x02, 0x00, 0x00, 0x80, 0x00, 0x05, 0x00, +0x06, 0x00, 0x00, 0x00, 0x9a, 0x02, 0x00, 0x00, 0x9d, 0x02, 0x00, 0x00, +0x12, 0x00, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, 0x2f, 0x02, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0x31, 0x02, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, +0x38, 0x00, 0x01, 0x00, +}; +const uint64_t matmul_f16_aligned_m_fp32_len = 9880; + +unsigned char matmul_f16_aligned_s_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x32, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, +0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, +0x2e, 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0x00, 0x05, 0x00, 0x06, 0x00, 0x00, 0x00, +0xff, 0x02, 0x00, 0x00, 0x02, 0x03, 0x00, 0x00, 0x12, 0x00, 0x00, 0x00, +0xf9, 0x00, 0x02, 0x00, 0x96, 0x02, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0x98, 0x02, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, + +}; +const uint64_t matmul_f16_aligned_s_len = 11256; + +unsigned char matmul_f16_aligned_s_fp32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xcd, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x0d, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, +0x19, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 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0x00, +0x3a, 0x02, 0x00, 0x00, 0x80, 0x00, 0x05, 0x00, 0x06, 0x00, 0x00, 0x00, +0x98, 0x02, 0x00, 0x00, 0x9e, 0x02, 0x00, 0x00, 0x12, 0x00, 0x00, 0x00, +0xf9, 0x00, 0x02, 0x00, 0x37, 0x02, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0x39, 0x02, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, 0x32, 0x02, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0x32, 0x02, 0x00, 0x00, 0x80, 0x00, 0x05, 0x00, +0x06, 0x00, 0x00, 0x00, 0x9a, 0x02, 0x00, 0x00, 0x9d, 0x02, 0x00, 0x00, +0x12, 0x00, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, 0x2f, 0x02, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0x31, 0x02, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, +0x38, 0x00, 0x01, 0x00, +}; +const uint64_t matmul_f16_aligned_s_fp32_len = 9880; + +unsigned char matmul_f16_f32_aligned_l_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x3c, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x0b, 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0x02, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0xa4, 0x02, 0x00, 0x00, 0x80, 0x00, 0x05, 0x00, +0x06, 0x00, 0x00, 0x00, 0x09, 0x03, 0x00, 0x00, 0x0c, 0x03, 0x00, 0x00, +0x12, 0x00, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, 0xa1, 0x02, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0xa3, 0x02, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, +0x38, 0x00, 0x01, 0x00, +}; +const uint64_t matmul_f16_f32_aligned_l_len = 11416; + +unsigned char matmul_f16_f32_aligned_l_fp32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xca, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x0d, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 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0x02, 0x00, +0x37, 0x02, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, 0x30, 0x02, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0x30, 0x02, 0x00, 0x00, 0x80, 0x00, 0x05, 0x00, +0x06, 0x00, 0x00, 0x00, 0x97, 0x02, 0x00, 0x00, 0x9a, 0x02, 0x00, 0x00, +0x12, 0x00, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, 0x2d, 0x02, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0x2f, 0x02, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, +0x38, 0x00, 0x01, 0x00, +}; +const uint64_t matmul_f16_f32_aligned_l_fp32_len = 9832; + +unsigned char matmul_f16_f32_aligned_m_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x3c, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, +0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, +0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, +0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 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0x9a, 0x02, 0x00, 0x00, +0x12, 0x00, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, 0x2d, 0x02, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0x2f, 0x02, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, +0x38, 0x00, 0x01, 0x00, +}; +const uint64_t matmul_f16_f32_aligned_m_fp32_len = 9832; + +unsigned char matmul_f16_f32_aligned_s_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x3c, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, +0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, +0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, +0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0d, 0x00, +0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, +0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, +0x2d, 0x00, 0x00, 0x00, 0xc7, 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matmul_f16_f32_aligned_s_fp32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xca, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x0d, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, +0x19, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 0x00, 0xc5, 0x00, 0x00, 0x00, +0xd4, 0x00, 0x00, 0x00, 0x29, 0x01, 0x00, 0x00, 0x37, 0x01, 0x00, 0x00, +0x70, 0x02, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, +0x11, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x05, 0x00, 0x09, 0x00, 0x00, 0x00, +0x00, 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+const uint64_t matmul_f16_f32_aligned_s_fp32_len = 9832; + +unsigned char matmul_f16_f32_l_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xa9, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, +0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, +0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, +0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0d, 0x00, +0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, +0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, +0x2d, 0x00, 0x00, 0x00, 0xce, 0x00, 0x00, 0x00, 0xd9, 0x00, 0x00, 0x00, +0x1b, 0x01, 0x00, 0x00, 0x26, 0x01, 0x00, 0x00, 0x4f, 0x02, 0x00, 0x00, +0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 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0x02, 0x00, +0x0b, 0x02, 0x00, 0x00, 0x80, 0x00, 0x05, 0x00, 0x06, 0x00, 0x00, 0x00, +0x72, 0x02, 0x00, 0x00, 0x75, 0x02, 0x00, 0x00, 0x12, 0x00, 0x00, 0x00, +0xf9, 0x00, 0x02, 0x00, 0x08, 0x02, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0x0a, 0x02, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, + +}; +const uint64_t matmul_f16_f32_s_fp32_len = 9468; + +unsigned char matmul_f16_l_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xa8, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, +0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, +0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, +0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0d, 0x00, +0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, +0x00, 0x00, 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0x00, +0x12, 0x02, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, 0x0b, 0x02, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0x0b, 0x02, 0x00, 0x00, 0x80, 0x00, 0x05, 0x00, +0x06, 0x00, 0x00, 0x00, 0x73, 0x02, 0x00, 0x00, 0x76, 0x02, 0x00, 0x00, +0x12, 0x00, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, 0x08, 0x02, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0x0a, 0x02, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, +0x38, 0x00, 0x01, 0x00, +}; +const uint64_t matmul_f16_l_fp32_len = 9484; + +unsigned char matmul_f16_m_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xa8, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, +0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, +0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, +0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0d, 0x00, 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0x02, 0x00, 0x00, +0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, +}; +const uint64_t matmul_f32_aligned_l_fp32_len = 9716; + +unsigned char matmul_f32_aligned_m_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x41, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x0d, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, +0x19, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 0x00, 0xc7, 0x00, 0x00, 0x00, +0xd6, 0x00, 0x00, 0x00, 0x65, 0x01, 0x00, 0x00, 0x72, 0x01, 0x00, 0x00, +0xe9, 0x02, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, +0x11, 0x00, 0x00, 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0x00, 0x02, 0x00, 0x28, 0x02, 0x00, 0x00, +0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, +}; +const uint64_t matmul_f32_aligned_s_fp32_len = 9716; + +unsigned char matmul_f32_l_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xa9, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x0d, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, +0x19, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 0x00, 0xce, 0x00, 0x00, 0x00, +0xd9, 0x00, 0x00, 0x00, 0x1c, 0x01, 0x00, 0x00, 0x27, 0x01, 0x00, 0x00, +0x4f, 0x02, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, +0x11, 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0x00, +0x38, 0x00, 0x01, 0x00, +}; +const uint64_t matmul_f32_m_len = 9532; + +unsigned char matmul_f32_m_fp32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xa2, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, +0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, +0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0d, 0x00, 0x05, 0x00, 0x00, 0x00, +0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, +0x0b, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 0x00, +0xcd, 0x00, 0x00, 0x00, 0xd8, 0x00, 0x00, 0x00, 0x19, 0x01, 0x00, 0x00, +0x24, 0x01, 0x00, 0x00, 0x48, 0x02, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, +0x04, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x05, 0x00, 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0x05, 0x00, 0x06, 0x00, 0x00, 0x00, 0x6f, 0x02, 0x00, 0x00, +0x72, 0x02, 0x00, 0x00, 0x12, 0x00, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, +0x05, 0x02, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, 0x07, 0x02, 0x00, 0x00, +0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, +}; +const uint64_t matmul_f32_s_fp32_len = 9416; + +unsigned char mul_f32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x3e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, +0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, +0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0a, 0x00, 0x05, 0x00, 0x00, 0x00, +0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, +0x0b, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x22, 0x00, 0x00, 0x00, +0x27, 0x00, 0x00, 0x00, 0x2f, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 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0x3e, 0x00, 0x03, 0x00, 0x38, 0x00, 0x00, 0x00, +0x37, 0x00, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, 0x3c, 0x00, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0x3c, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, +0x38, 0x00, 0x01, 0x00, +}; +const uint64_t mul_f32_len = 1456; + +unsigned char mul_mat_vec_f16_f32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0xba, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, +0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, +0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, +0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x0c, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, +0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, +0x13, 0x00, 0x00, 0x00, 0x1b, 0x00, 0x00, 0x00, 0x2a, 0x00, 0x00, 0x00, +0x51, 0x00, 0x00, 0x00, 0x66, 0x00, 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0x00, 0x00, 0x3e, 0x00, 0x03, 0x00, +0xbb, 0x02, 0x00, 0x00, 0xba, 0x02, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, +0xb0, 0x02, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, 0xb0, 0x02, 0x00, 0x00, +0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, +}; +const uint64_t mul_mat_vec_q2_K_f32_len = 7628; + +unsigned char mul_mat_vec_q3_K_f32_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x08, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x27, 0x00, 0x00, 0x00, +0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x60, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, +0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, +0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0c, 0x00, 0x05, 0x00, 0x00, 0x00, +0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, +0x0c, 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0x00, 0x00, +0x28, 0x00, 0x00, 0x00, 0x27, 0x00, 0x00, 0x00, 0x7f, 0x00, 0x04, 0x00, +0x11, 0x00, 0x00, 0x00, 0x31, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, +0x0c, 0x00, 0x06, 0x00, 0x11, 0x00, 0x00, 0x00, 0x32, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x1b, 0x00, 0x00, 0x00, 0x31, 0x00, 0x00, 0x00, +0x81, 0x00, 0x05, 0x00, 0x11, 0x00, 0x00, 0x00, 0x33, 0x00, 0x00, 0x00, +0x2f, 0x00, 0x00, 0x00, 0x32, 0x00, 0x00, 0x00, 0x88, 0x00, 0x05, 0x00, +0x11, 0x00, 0x00, 0x00, 0x34, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, +0x33, 0x00, 0x00, 0x00, 0x41, 0x00, 0x06, 0x00, 0x26, 0x00, 0x00, 0x00, +0x35, 0x00, 0x00, 0x00, 0x2c, 0x00, 0x00, 0x00, 0x16, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x00, 0x00, 0x3e, 0x00, 0x03, 0x00, 0x35, 0x00, 0x00, 0x00, +0x34, 0x00, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, 0x39, 0x00, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0x39, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, +0x38, 0x00, 0x01, 0x00, +}; +const uint64_t silu_f32_len = 1264; + +unsigned char soft_max_f32_data[] = { 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+0xb7, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, + +}; +const uint64_t soft_max_f32_len = 2964; + +unsigned char split_k_reduce_data[] = { +0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, +0x6c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, +0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, +0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x09, 0x00, 0x05, 0x00, 0x00, 0x00, +0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, +0x0c, 0x00, 0x00, 0x00, 0x1b, 0x00, 0x00, 0x00, 0x46, 0x00, 0x00, 0x00, +0x5a, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, +0x11, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, +0x0b, 0x00, 0x00, 0x00, 0x1c, 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0x03, 0x00, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0x05, 0x00, 0x00, 0x00, 0xf7, 0x00, 0x03, 0x00, 0x35, 0x00, 0x00, 0x00, +0x00, 0x00, 0x00, 0x00, 0xfb, 0x00, 0x03, 0x00, 0x0c, 0x00, 0x00, 0x00, +0x36, 0x00, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, 0x36, 0x00, 0x00, 0x00, +0x41, 0x00, 0x05, 0x00, 0x0d, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x00, 0x00, +0x0b, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, +0x06, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x00, 0x00, +0x41, 0x00, 0x05, 0x00, 0x17, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, +0x14, 0x00, 0x00, 0x00, 0x16, 0x00, 0x00, 0x00, 0x3d, 0x00, 0x04, 0x00, +0x06, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, +0xae, 0x00, 0x05, 0x00, 0x1a, 0x00, 0x00, 0x00, 0x1b, 0x00, 0x00, 0x00, +0x0f, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, 0xf7, 0x00, 0x03, 0x00, +0x1d, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xfa, 0x00, 0x04, 0x00, +0x1b, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x1d, 0x00, 0x00, 0x00, +0xf8, 0x00, 0x02, 0x00, 0x1c, 0x00, 0x00, 0x00, 0xf9, 0x00, 0x02, 0x00, +0x35, 0x00, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, 0x1d, 0x00, 0x00, 0x00, +0x41, 0x00, 0x06, 0x00, 0x26, 0x00, 0x00, 0x00, 0x27, 0x00, 0x00, 0x00, +0x24, 0x00, 0x00, 0x00, 0x16, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x00, 0x00, +0x3d, 0x00, 0x04, 0x00, 0x11, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, +0x27, 0x00, 0x00, 0x00, 0x85, 0x00, 0x05, 0x00, 0x11, 0x00, 0x00, 0x00, +0x30, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, +0x41, 0x00, 0x06, 0x00, 0x26, 0x00, 0x00, 0x00, 0x31, 0x00, 0x00, 0x00, +0x2c, 0x00, 0x00, 0x00, 0x16, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x00, 0x00, +0x3e, 0x00, 0x03, 0x00, 0x31, 0x00, 0x00, 0x00, 0x30, 0x00, 0x00, 0x00, +0xf9, 0x00, 0x02, 0x00, 0x35, 0x00, 0x00, 0x00, 0xf8, 0x00, 0x02, 0x00, +0x35, 0x00, 0x00, 0x00, 0xfd, 0x00, 0x01, 0x00, 0x38, 0x00, 0x01, 0x00, + +}; +const uint64_t sqr_f32_len = 1188; + diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 2824c4472f22c..1ae42b5598448 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -206,7 +206,6 @@ vk_pipeline vk_pipeline_matmul_f16_f32_l, vk_pipeline_matmul_f16_f32_m, vk_pipel vk_pipeline vk_pipeline_matmul_f16_f32_aligned_l, vk_pipeline_matmul_f16_f32_aligned_m, vk_pipeline_matmul_f16_f32_aligned_s; vk_pipeline vk_pipeline_matmul_split_k_reduce; vk_pipeline vk_pipeline_dequant[VK_NUM_TYPES]; -vk_pipeline vk_pipeline_dequant_mul_mat_vec[VK_NUM_TYPES]; vk_pipeline vk_pipeline_dequant_mul_mat_vec_f32[VK_NUM_TYPES]; vk_pipeline vk_pipeline_mul_mat_vec_p021_f16_f32; vk_pipeline vk_pipeline_mul_mat_vec_nc_f16_f32; @@ -862,18 +861,6 @@ static void ggml_vk_load_shaders() { vk_pipeline_get_rows_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0_f32", get_rows_q8_0_f32_fp32_len, get_rows_q8_0_f32_fp32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); } - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16", mul_mat_vec_f16_len, mul_mat_vec_f16_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0", mul_mat_vec_q4_0_len, mul_mat_vec_q4_0_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1", mul_mat_vec_q4_1_len, mul_mat_vec_q4_1_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_0] = ggml_vk_create_pipeline("mul_mat_vec_q5_0", mul_mat_vec_q5_0_len, mul_mat_vec_q5_0_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("mul_mat_vec_q5_1", mul_mat_vec_q5_1_len, mul_mat_vec_q5_1_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("mul_mat_vec_q8_0", mul_mat_vec_q8_0_len, mul_mat_vec_q8_0_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q2_K] = ggml_vk_create_pipeline("mul_mat_vec_q2_K", mul_mat_vec_q2_K_len, mul_mat_vec_q2_K_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q3_K] = ggml_vk_create_pipeline("mul_mat_vec_q3_K", mul_mat_vec_q3_K_len, mul_mat_vec_q3_K_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q4_K] = ggml_vk_create_pipeline("mul_mat_vec_q4_K", mul_mat_vec_q4_K_len, mul_mat_vec_q4_K_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K", mul_mat_vec_q5_K_len, mul_mat_vec_q5_K_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K", mul_mat_vec_q6_K_len, mul_mat_vec_q6_K_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_F16] = ggml_vk_create_pipeline("mul_mat_vec_f16_f32", mul_mat_vec_f16_f32_len, mul_mat_vec_f16_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_0] = ggml_vk_create_pipeline("mul_mat_vec_q4_0_f32", mul_mat_vec_q4_0_f32_len, mul_mat_vec_q4_0_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q4_1] = ggml_vk_create_pipeline("mul_mat_vec_q4_1_f32", mul_mat_vec_q4_1_f32_len, mul_mat_vec_q4_1_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); @@ -1165,7 +1152,7 @@ static vk_pipeline* ggml_vk_get_to_fp16(ggml_type type) { return &vk_pipeline_dequant[type]; } -static vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type, bool f16_y) { +static vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type) { #ifdef VK_DEBUG std::cerr << "ggml_vk_get_dequantize_mul_mat_vec()" << std::endl; #endif @@ -1186,7 +1173,7 @@ static vk_pipeline* ggml_vk_get_dequantize_mul_mat_vec(ggml_type type, bool f16_ return nullptr; } - return f16_y ? &vk_pipeline_dequant_mul_mat_vec[type] : &vk_pipeline_dequant_mul_mat_vec_f32[type]; + return &vk_pipeline_dequant_mul_mat_vec_f32[type]; } // buffer pool for vulkan @@ -2222,7 +2209,7 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso } else { to_fp16_vk_1 = ggml_vk_get_to_fp16(src1->type); } - vk_pipeline* dmmv = ggml_vk_get_dequantize_mul_mat_vec(src0->type, !f16_f32_kernel); + vk_pipeline* dmmv = ggml_vk_get_dequantize_mul_mat_vec(src0->type); GGML_ASSERT(!qx_needs_dequant || to_fp16_vk_0 != nullptr); // NOLINT GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr); // NOLINT GGML_ASSERT(dmmv != nullptr); diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index c6b6701be01f9..f92bd3798c0fd 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -2191,7 +2191,6 @@ async def main(): else: continue - tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float16_t", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) tasks.append(string_to_spv(f"mul_mat_vec_p021_f16_f32", mul_mat_p021_src, {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, True)) From 2c8a156c582a55b854ef5e7814d0fe8961384805 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 16 Dec 2023 09:30:20 +0100 Subject: [PATCH 114/142] Merge upstream changes, fix conflicts, adapt soft_max op --- ggml-vulkan-shaders.hpp | 795 +++++++++++++++++++----------------- ggml-vulkan.cpp | 306 +++++++++++--- ggml_vk_generate_shaders.py | 34 +- llama.cpp | 7 +- 4 files changed, 679 insertions(+), 463 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index c6f4238a5cfbd..02360a9babca3 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -58292,43 +58292,50 @@ const uint64_t silu_f32_len = 1264; unsigned char soft_max_f32_data[] = { 0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0xd7, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, +0x0e, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0b, 0x00, 0x05, 0x00, 0x00, 0x00, +0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0c, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, -0x0b, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, -0x28, 0x00, 0x00, 0x00, 0x37, 0x00, 0x00, 0x00, 0x8f, 0x00, 0x00, 0x00, -0x10, 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vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K_f32", mul_mat_vec_q5_K_f32_len, mul_mat_vec_q5_K_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K_f32", mul_mat_vec_q6_K_f32_len, mul_mat_vec_q6_K_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 4 * sizeof(int), {32, 32, 1}, {}, 1); + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 3 * sizeof(uint32_t), {512, 1, 1}, {}, 1); vk_pipeline_mul_mat_vec_p021_f16_f32 = ggml_vk_create_pipeline("mul_mat_vec_p021_f16_f32", mul_mat_vec_p021_f16_f32_len, mul_mat_vec_p021_f16_f32_data, "main", 3, 6 * sizeof(uint32_t), {1, 1, 1}, {}, 1); vk_pipeline_mul_mat_vec_nc_f16_f32 = ggml_vk_create_pipeline("mul_mat_vec_nc_f16_f32", mul_mat_vec_nc_f16_f32_len, mul_mat_vec_nc_f16_f32_data, "main", 3, 7 * sizeof(uint32_t), {1, 1, 1}, {}, 1); @@ -901,7 +901,7 @@ static void ggml_vk_load_shaders() { vk_pipeline_diag_mask_inf_f32 = ggml_vk_create_pipeline("diag_mask_inf_f32", diag_mask_inf_f32_len, diag_mask_inf_f32_data, "main", 2, sizeof(vk_op_diag_mask_push_constants), {512, 1, 1}, {}, 1); - vk_pipeline_soft_max_f32 = ggml_vk_create_pipeline("soft_max_f32", soft_max_f32_len, soft_max_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1); + vk_pipeline_soft_max_f32 = ggml_vk_create_pipeline("soft_max_f32", soft_max_f32_len, soft_max_f32_data, "main", 3, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1); vk_pipeline_rope_f32 = ggml_vk_create_pipeline("rope_f32", rope_f32_len, rope_f32_data, "main", 3, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); vk_pipeline_rope_f16 = ggml_vk_create_pipeline("rope_f16", rope_f16_len, rope_f16_data, "main", 3, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); @@ -1070,6 +1070,7 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; ggml_vk_test_transfer(1024 * 1024 * m); } const std::vector vals { + 100, 46, 576, 32000, 2, 4096, 4096, 2, 4096, 623, 111, 128, @@ -1351,6 +1352,109 @@ static size_t ggml_vk_align_size(size_t width, size_t align) { return CEIL_DIV(width, align) * align; } +static vk_sequence ggml_vk_buffer_write_nc_async(vk_buffer* dst, size_t offset, const ggml_tensor * tensor, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_buffer_write_nc_async(" << tensor << ")" << std::endl; +#endif + GGML_ASSERT(!ggml_is_contiguous(tensor)); + // Buffer is already mapped + if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) { + std::cerr << "ggml_vulkan: buffer_write_async dst buffer is host_visible. Use synchronous write." << std::endl; + GGML_ASSERT(false); + } + // Check if src is pinned memory + vk_buffer* buf = nullptr; + size_t buf_offset = 0; + for (size_t i = 0; i < vk_pinned_memory.size(); i++) { + const uint8_t* addr = (const uint8_t*) std::get<0>(vk_pinned_memory[i]); + const uint8_t* endr = addr + std::get<1>(vk_pinned_memory[i]); + if (tensor->data >= addr && tensor->data < endr) { + buf = &std::get<2>(vk_pinned_memory[i]); + buf_offset = ((const uint8_t *)tensor->data) - addr; + break; + } + } + + bool reuse_submission = false; + vk_submission submission; + if (s == nullptr) { + submission = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); + s = &submission; + reuse_submission = true; + } + + const uint64_t ne0 = tensor->ne[0]; + const uint64_t nb0 = tensor->nb[0]; + const uint64_t nb1 = tensor->nb[1]; + const uint64_t nb2 = tensor->nb[2]; + const uint64_t nb3 = tensor->nb[3]; + const ggml_type type = tensor->type; + const uint64_t ts = ggml_type_size(type); + const uint64_t bs = ggml_blck_size(type); + + const uint64_t ne = ggml_nelements(tensor); + + const uint64_t dpitch = ts/bs; + + if (buf != nullptr) { + // Memory is pinned, use as staging buffer + std::vector slices; + slices.reserve(ne); + + for (int64_t i1 = 0; i1 < ggml_nrows(tensor); i1++) { + const size_t s_off = buf_offset + i1*nb1; + const size_t d_off = offset + i1*ts*ne0/bs; + for (size_t i = 0; i < ne0; i++) { + slices.push_back({ s_off + i * nb0, d_off + i * dpitch, dpitch }); + } + } + + if (reuse_submission) { + s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + } + ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); + s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); + if (reuse_submission) { + s->buffer.end(); + } + return { *s }; + } + + // Staging buffer required, malloc because of async transfer + if (dst->sb_write == nullptr) { + dst->sb_write = new vk_buffer; + *dst->sb_write = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); + } + + VkBufferCopy buf_copy{ + 0, + offset, + dpitch * ne}; + + if (reuse_submission) { + s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); + } + ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); + vkCmdCopyBuffer(s->buffer, dst->sb_write->buffer, dst->buffer, 1, &buf_copy); + if (reuse_submission) { + s->buffer.end(); + } + + for (int64_t i1 = 0; i1 < ggml_nrows(tensor); i1++) { + const size_t s_off = i1*nb1; + const size_t d_off = offset + i1*ts*ne0/bs; + for (size_t i = 0; i < ne0; i++) { + if (pre_staging == nullptr) { + memcpy((uint8_t *)dst->sb_write->ptr + s_off + i * dpitch, (const uint8_t *) tensor->data + d_off + i * nb0, dpitch); + } else { + pre_staging->emplace_back((void *) ((uint8_t *)dst->sb_write->ptr + s_off + i * dpitch), (const void *) ((const uint8_t *) tensor->data + d_off + i * nb0), dpitch); + } + } + } + + return { *s }; +} + static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; @@ -1483,7 +1587,7 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src static vk_sequence ggml_vk_buffer_read_2d_async(vk_buffer* src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission* s = nullptr) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_buffer_read_2d_async()" << std::endl; + std::cerr << "ggml_vk_buffer_read_2d_async(offset=" << offset << ", width=" << width << ", height=" << height << ")" << std::endl; #endif GGML_ASSERT(width > 0); GGML_ASSERT(height > 0); @@ -1634,7 +1738,7 @@ static void ggml_vk_buffer_memset(vk_buffer* dst, size_t offset, uint32_t c, siz static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer * dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission * s = nullptr, std::vector * pre_staging = nullptr) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_h2d_tensor_2d()" << std::endl; + std::cerr << "ggml_vk_h2d_tensor_2d(dst=" << dst << ", offset=" << offset << ", src=" << src << ", i3=" << i3 << ", i2=" << i2 << ", i1=" << i1 << ")" << std::endl; #endif const uint64_t ne0 = src->ne[0]; const uint64_t ne1 = src->ne[1]; @@ -1654,15 +1758,12 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer * dst, size_t offset, const g if (nb0 == ts) { return ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, i1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); } - GGML_ASSERT(false); - // TODO: also needs handling of staging buffers - uint8_t* dst_ptr = (uint8_t*) dst->ptr; - const uint8_t* xc = (const uint8_t*)x; - for (uint64_t i1 = 0; i1 < ne1; i1++) { - for (uint64_t i0 = 0; i0 < ne0; i0++) { - dst_ptr[offset + i1 * row_length + i0 * ts] = xc[i1 * nb1 + i0 * nb0]; - } - } + + GGML_ASSERT(i3 == 0); + GGML_ASSERT(i2 == 0); + GGML_ASSERT(i1 == ggml_nrows(src)); + + return ggml_vk_buffer_write_nc_async(dst, offset, src, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); } static vk_sequence ggml_vk_d2h_tensor_2d(vk_buffer * src, size_t offset, const ggml_tensor * dst, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission * s = nullptr) { @@ -1695,7 +1796,8 @@ static int ggml_vk_guess_split_k(int m, int n, int k, bool aligned) { #ifdef VK_DEBUG std::cerr << "ggml_vk_guess_split_k(" << m << ", " << n << ", " << k << ", " << aligned << ")"; #endif - if (aligned && k > 128 && (m < 128 || n < 128) && m > 2 && n > 2) { + // Disabled until bug in shader code found + if (false && aligned && k > 128 && (m < 128 || n < 128) && m > 2 && n > 2) { #ifdef VK_DEBUG std::cerr << " = 4" << std::endl; #endif @@ -1783,7 +1885,7 @@ static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16_x, bool bit16_y, in return aligned ? &vk_pipeline_matmul_f32_aligned_l : &vk_pipeline_matmul_f32_l; } -static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& split_k_buffer, int m, int n, int k, int stride_a, int stride_b, int stride_d, int split_k, int d_offset, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& split_k_buffer, int m, int n, int k, int stride_a, int stride_b, int stride_d, uint32_t split_k, uint32_t d_offset, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { #ifdef VK_DEBUG std::cerr << "ggml_vk_matmul(" << m << ", " << n << ", " << k << ")" << std::endl; #endif @@ -1791,7 +1893,7 @@ static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_su ggml_vk_sync_buffers(s.buffer, { a, b }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); if (split_k == 1) { ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); - const std::vector pc = { m, n, k, stride_a, stride_b, stride_d, k, d_offset }; + const std::array pc = { m, n, k, stride_a, stride_b, stride_d, k, (int)d_offset }; ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc.size() * sizeof(int), pc.data(), { (uint32_t)m, (uint32_t)n, 1 }); ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); return { s }; @@ -1799,11 +1901,11 @@ static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_su ggml_vk_sync_buffers(s.buffer, { split_k_buffer }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); // Synchronize the two submissions - const std::array pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k), 0 }; + const std::array pc1 = { m, n, k, stride_a, stride_b, stride_d, (int) CEIL_DIV(k, split_k), 0 }; ggml_vk_dispatch_pipeline(s, pipeline, { a, b, split_k_buffer }, pc1.size() * sizeof(int), pc1.data(), { (uint32_t)m * split_k, (uint32_t)n, 1 }); - ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, true); - const std::array pc2 = { m, n, split_k, d_offset }; - ggml_vk_dispatch_pipeline(s, vk_pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(int), pc2.data(), { (uint32_t)m, (uint32_t)n, 1 }); + ggml_vk_sync_buffers(s.buffer, { split_k_buffer, d }, q, vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, true); + const std::array pc2 = { (uint32_t)(m * n), split_k, d_offset }; + ggml_vk_dispatch_pipeline(s, vk_pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(uint32_t), pc2.data(), { (uint32_t)(m * n), 1, 1 }); ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); return { s }; @@ -1854,7 +1956,7 @@ static void ggml_vk_cpy_to_contiguous(vk_pipeline * pipeline, ggml_vk_tensor_ext }; ggml_vk_sync_buffers(s.buffer, { in }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); ggml_vk_sync_buffers(s.buffer, { out }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { in, out }, sizeof(vk_op_cpy_push_constants), &pc, { ne, 1, 1}); + ggml_vk_dispatch_pipeline(s, *pipeline, { in, out }, sizeof(vk_op_cpy_push_constants), &pc, { ne, 1, 1 }); ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); extra->comp_seqs.push_back({ s }); @@ -1918,6 +2020,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const uint64_t qy_sz = ggml_vk_align_size(ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint64_t x_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint64_t y_sz = ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint64_t split_k_d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint64_t d_sz = sizeof(float) * d_ne; if (dst->backend == GGML_BACKEND_GPU) { @@ -2069,14 +2172,12 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const uint32_t qy_offset = load_y ? qy_sz * it_idx1 : 0; const uint32_t x_offset = x_sz * it_idx0; const uint32_t y_offset = y_sz * it_idx1; - const uint32_t d_offset = d_sz * it_idx1; + const uint32_t d_offset = d_buf_offset + d_sz * it_idx1; + const uint32_t split_k_d_offset = split_k_d_sz * it_idx1; const uint32_t d_buffer_offset = (d_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; const uint32_t d_shader_offset = d_offset - d_buffer_offset; - const uint32_t split_k_d_buffer_offset = ((d_offset * split_k) / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; - const uint32_t split_k_d_shader_offset = (d_offset * split_k) - d_buffer_offset; - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); std::vector mm_semaphores; @@ -2094,12 +2195,12 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } // compute - extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buf_offset + d_buffer_offset, d_sz + d_shader_offset }, { vk_prealloc_split_k, split_k_d_shader_offset, d_sz * split_k }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, d_shader_offset, compq, std::move(mm_semaphores), { { sem->s, sem->value + 2 } })); + extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buffer_offset, d_sz + d_shader_offset }, { vk_prealloc_split_k, split_k_d_offset, split_k_d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, d_shader_offset / ggml_type_size(dst->type), compq, std::move(mm_semaphores), { { sem->s, sem->value + 2 } })); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_buf_offset + d_offset, d, sizeof(float) * d_ne, tr1q, { { sem->s, sem->value + 2 } }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, tr1q, { { sem->s, sem->value + 2 } }, {})); } sem->value += 2; @@ -2127,7 +2228,6 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const int64_t ne13 = src1->ne[3]; GGML_ASSERT(ne11 == 1); - GGML_ASSERT(src0->backend == GGML_BACKEND_GPU); const int nb2 = dst->nb[2]; const int nb3 = dst->nb[3]; @@ -2135,14 +2235,14 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const int64_t r2 = ne12 / ne02; const int64_t r3 = ne13 / ne03; + const bool load_x = src0->backend != GGML_BACKEND_GPU; const bool load_y = src1->backend != GGML_BACKEND_GPU; - const bool x_non_contig = !ggml_vk_dim01_contiguous(src0); + const bool x_non_contig = !load_x && !ggml_vk_dim01_contiguous(src0); const bool y_non_contig = !load_y && !ggml_vk_dim01_contiguous(src1); - GGML_ASSERT(!x_non_contig || !ggml_is_quantized(src0->type)); // NOLINT - vk_queue& compq = vk_device.compute_queue; + vk_queue& tr0q = vk_device.transfer_queues[0]; const bool f16_f32_kernel = src1->type == GGML_TYPE_F32; const bool qx_needs_dequant = x_non_contig; @@ -2168,21 +2268,26 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const uint64_t d_buf_offset = extra->offset; GGML_ASSERT(d_D != nullptr); vk_buffer* d_Qx; - const uint32_t qx_buf_offset = extra_src0->offset; + uint32_t qx_buf_offset = 0; vk_buffer* d_Qy; uint32_t qy_buf_offset = 0; vk_buffer* d_X; uint64_t x_buf_offset = 0; vk_buffer* d_Y; uint64_t y_buf_offset = 0; - d_Qx = extra_src0->buffer_gpu; - GGML_ASSERT(d_Qx != nullptr); + if (load_x) { + d_Qx = &vk_prealloc_qx; + } else { + d_Qx = extra_src0->buffer_gpu; + qx_buf_offset = extra_src0->offset; + GGML_ASSERT(d_Qx != nullptr); + } if (load_y) { d_Qy = &vk_prealloc_qy; } else { d_Qy = extra_src1->buffer_gpu; qy_buf_offset = extra_src1->offset; - GGML_ASSERT(d_Qx != nullptr); + GGML_ASSERT(d_Qy != nullptr); } if (qx_needs_dequant) { d_X = &vk_prealloc_x; @@ -2230,6 +2335,14 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); ggml_vk_cpy_to_contiguous(to_fp16_vk_0, extra, src0, { *d_Qx, qx_buf_offset, VK_WHOLE_SIZE }, { *d_X, 0, VK_WHOLE_SIZE }, src0->type, {}, { { sem->s, sem->value + 1 } }); semaphores.push_back({ sem->s, sem->value + 1 }); + sem->value += 1; + } else if (load_x) { + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); + + // copy data to device + extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, 0, src0, 0, 0, ggml_nrows(src0), tr0q, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); + semaphores.push_back({ sem->s, sem->value + 1 }); + sem->value += 1; } if (y_non_contig) { @@ -2782,6 +2895,8 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g } if (op == GGML_OP_CPY) { + GGML_ASSERT(!transfer_src0); + GGML_ASSERT(!transfer_src1); d_sz = dst->ne[1] * dst->nb[1]; if (extra->offset + d_sz >= d_D->size) { @@ -2835,7 +2950,11 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buf_offset, d_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - if (use_src1) { + if (!use_src1 && op == GGML_OP_SOFT_MAX) { + // Empty src1 is possible on soft_max, but the shader needs a buffer + ggml_vk_sync_buffers(s.buffer, { { *d_X, x_buf_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); + } else if (use_src1) { ggml_vk_sync_buffers(s.buffer, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else { @@ -2889,7 +3008,11 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buf_offset + d_offset, d_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - if (use_src1) { + if (!use_src1 && op == GGML_OP_SOFT_MAX) { + // Empty src1 is possible on soft_max, but the shader needs a buffer + ggml_vk_sync_buffers(s.buffer, { { *d_X, x_buf_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); + } else if (use_src1) { ggml_vk_sync_buffers(s.buffer, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); } else { @@ -2929,6 +3052,7 @@ static void ggml_vk_mul(const ggml_tensor * src0, const ggml_tensor * src1, ggml } static void ggml_vk_scale(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + GGML_ASSERT(src1->backend == GGML_BACKEND_CPU); ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_SCALE, { (uint32_t)ggml_nelements(src0), 0, ((float *)src1->data)[0], 0.0f }); } @@ -2969,8 +3093,8 @@ static void ggml_vk_diag_mask_inf(const ggml_tensor * src0, ggml_tensor * dst) { ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_DIAG_MASK_INF, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], ((int32_t *)dst->op_params)[0] }); } -static void ggml_vk_soft_max(const ggml_tensor * src0, ggml_tensor * dst) { - ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_SOFT_MAX, { (uint32_t)src0->ne[0], 0, 0.0f, 0.0f }); +static void ggml_vk_soft_max(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_vk_op_f32(src0, src1, dst, GGML_OP_SOFT_MAX, { (uint32_t)src0->ne[0], (uint32_t)(src1 != nullptr ? ggml_nrows(src1) : 0), ((float *)dst->op_params)[0], 0.0f }); } static void ggml_vk_rope(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { @@ -3191,10 +3315,6 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ #ifdef VK_DEBUG std::cerr << "ggml_vk_preallocate_buffers_graph(" << node << ")" << std::endl; #endif - if (node->extra == nullptr) { - ggml_vk_tensor_create_extra(node); - } - const bool src0_gpu = false; // node->src[0] != nullptr && node->src[0]->ne[1] > 32 && node->src[0]->extra != nullptr && node->src[0]->backend == GGML_BACKEND_CPU; const bool src1_gpu = false; // node->src[1] != nullptr && node->src[1]->ne[1] > 32 && node->src[1]->extra != nullptr && node->src[1]->backend == GGML_BACKEND_CPU; @@ -3206,6 +3326,10 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ return; } + if (node->extra == nullptr) { + ggml_vk_tensor_create_extra(node); + } + ggml_tensor * src0 = node->src[0]; ggml_tensor * src1 = node->src[1]; @@ -3277,7 +3401,7 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ case GGML_OP_NORM: case GGML_OP_RMS_NORM: case GGML_OP_MUL_MAT: - if (node->op == GGML_OP_MUL_MAT && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { + if (node->op == GGML_OP_MUL_MAT && !any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node)) { return; } @@ -3446,7 +3570,7 @@ void ggml_vk_build_graph(ggml_tensor * node, ggml_cgraph * graph){ || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) || (node->src[1] != nullptr && node->src[1]->backend == GGML_BACKEND_GPU); - if (!any_on_device && node->op != GGML_OP_MUL_MAT) { + if ((!any_on_device && node->op != GGML_OP_MUL_MAT) || (node->op == GGML_OP_MUL_MAT && !any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node))) { return; } @@ -3535,7 +3659,7 @@ void ggml_vk_build_graph(ggml_tensor * node, ggml_cgraph * graph){ break; case GGML_OP_SOFT_MAX: - ggml_vk_soft_max(src0, node); + ggml_vk_soft_max(src0, src1, node); break; case GGML_OP_ROPE: @@ -3543,10 +3667,6 @@ void ggml_vk_build_graph(ggml_tensor * node, ggml_cgraph * graph){ break; case GGML_OP_MUL_MAT: - if (!any_on_device && !ggml_vk_can_mul_mat(src0, src1, node)) { - return; - } - ggml_vk_mul_mat(src0, src1, node); break; @@ -3980,7 +4100,11 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) } else if (tensor->op == GGML_OP_RMS_NORM) { tensor_clone = ggml_rms_norm(ctx, src0_clone, *(float *)tensor->op_params); } else if (tensor->op == GGML_OP_SOFT_MAX) { - tensor_clone = ggml_soft_max(ctx, src0_clone); + if (src1 != nullptr) { + tensor_clone = ggml_soft_max_ext(ctx, src0_clone, src1_clone, *(float *)tensor->op_params); + } else { + tensor_clone = ggml_soft_max(ctx, src0_clone); + } } else if (tensor->op == GGML_OP_DIAG_MASK_INF) { tensor_clone = ggml_diag_mask_inf(ctx, src0_clone, *(float *)tensor->op_params); } else if (tensor->op == GGML_OP_ROPE) { @@ -4183,7 +4307,7 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) ggml_vk_print_graph_origin(tensor, done); } - if (avg_err > 0.1 || std::isnan(avg_err)) { + if (avg_err > 0.05 || std::isnan(avg_err)) { std::cerr << "ERROR: avg_err=" << avg_err << " in " << ggml_op_name(tensor->op) << " (check " << check_counter << ")" << std::endl; std::cerr << "tensor=" << tensor << " tensor->name=" << tensor->name << " tensor->backend: " << tensor->backend << " tensor->type: " << ggml_type_name(tensor->type) << " ne0=" << tensor->ne[0] << " nb0=" << tensor->nb[0] << " ne1=" << tensor->ne[1] << " nb1=" << tensor->nb[1] << " ne2=" << tensor->ne[2] << " nb2=" << tensor->nb[2] << " ne3=" << tensor->ne[3] << " nb3=" << tensor->nb[3] << " offset=" << tensor->view_offs << std::endl; if (src0 != nullptr) { @@ -4263,6 +4387,34 @@ void ggml_vk_test_transfer(size_t ne) { free(y); } +void ggml_vk_print_matrix_area(const void * data, ggml_type type, int ne0, int ne1, int i0, int i1) { + if (type != GGML_TYPE_F32 && type != GGML_TYPE_F16) { + return; + } + fprintf(stderr, " "); + for (int idx1 = i1 - 5; idx1 < i1 + 5; idx1++) { + fprintf(stderr, "%7d ", idx1); + } + fprintf(stderr, "\n"); + for (int idx0 = i0 - 5; idx0 < i0 + 5; idx0++) { + fprintf(stderr, "%7d: ", idx0); + for (int idx1 = i1 - 5; idx1 < i1 + 5; idx1++) { + if (idx0 >= 0 && idx0 < ne0 && idx1 >= 0 && idx1 < ne1) { + float val; + if (type == GGML_TYPE_F32) { + val = *((float *) data + idx1*ne0 + idx0); + } else if (type == GGML_TYPE_F16) { + val = ggml_fp16_to_fp32(*((ggml_fp16_t *) data + idx1*ne0 + idx0)); + } + fprintf(stderr, "% 7.2f ", val); + } else { + fprintf(stderr, " "); + } + } + fprintf(stderr, "\n"); + } +} + void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size) { #ifdef VK_DEBUG std::cerr << "ggml_vk_test_matmul_f32(" << m << ", " << n << ", " << k << ", " << num_it << ", " << split_k << ", " << shader_size << ")" << std::endl; @@ -4312,7 +4464,7 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp if (vk_prealloc_split_k.size > 0) { ggml_vk_destroy_buffer(vk_prealloc_split_k); } - vk_prealloc_split_k = ggml_vk_create_buffer(sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_prealloc_split_k = ggml_vk_create_buffer(sizeof(float) * d_ne * split_k, vk::MemoryPropertyFlagBits::eDeviceLocal); } } @@ -4325,10 +4477,10 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp float* d = (float *) malloc(sizeof(float) * d_ne); for (size_t i = 0; i < x_ne; i++) { - x[i] = rand() / (float)RAND_MAX; + x[i] = 1.0f; // (rand() / (float)RAND_MAX) * 2.0f - 1.0f; } for (size_t i = 0; i < y_ne; i++) { - y[i] = rand() / (float)RAND_MAX; + y[i] = 1.0f; // (rand() / (float)RAND_MAX) * 2.0f - 1.0f; } seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(float) * k, sizeof(float) * k, m, vk_device.transfer_queues[0], {}, {})); @@ -4342,7 +4494,7 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), m, n, k, k, k, m, split_k, vk_device.compute_queue, {}, {})); + seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), ggml_vk_subbuffer(vk_prealloc_split_k), m, n, k, k, k, m, split_k, 0, vk_device.compute_queue, {}, {})); } ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); @@ -4370,7 +4522,39 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp } } - std::cerr << "TEST " << shname << " m=" << m << " n=" << n << " k=" << k << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err / (m * n) << std::endl; + avg_err /= m * n; + + std::cerr << "TEST " << shname << " m=" << m << " n=" << n << " k=" << k << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err << std::endl; + + if (avg_err > 0.1) { + std::cerr << "x: " << std::endl << std::endl; + ggml_vk_print_matrix_area(x, GGML_TYPE_F32, k, m, 5, 5); + std::cerr << "y: " << std::endl << std::endl; + ggml_vk_print_matrix_area(y, GGML_TYPE_F32, k, n, 5, 5); + std::cerr << "Actual result: " << std::endl << std::endl; + ggml_vk_print_matrix_area(d, GGML_TYPE_F32, n, m, 5, 5); + std::cerr << "Expected result: " << std::endl << std::endl; + ggml_vk_print_matrix_area(d_chk, GGML_TYPE_F32, n, m, 5, 5); + + if (split_k > 1) { + float * split_k_buf = (float *) malloc(sizeof(float) * d_ne * split_k); + ggml_vk_buffer_read(&vk_prealloc_split_k, 0, split_k_buf, sizeof(float) * d_ne * split_k, vk_device.transfer_queues[0]); + + std::cerr << "d_buf0: " << std::endl << std::endl; + ggml_vk_print_matrix_area(split_k_buf, GGML_TYPE_F32, n, m, 5, 5); + + std::cerr << "d_buf1: " << std::endl << std::endl; + ggml_vk_print_matrix_area(split_k_buf + m * n, GGML_TYPE_F32, n, m, 5, 5); + + std::cerr << "d_buf2: " << std::endl << std::endl; + ggml_vk_print_matrix_area(split_k_buf + 2 * m * n, GGML_TYPE_F32, n, m, 5, 5); + + std::cerr << "d_buf3: " << std::endl << std::endl; + ggml_vk_print_matrix_area(split_k_buf + 3 * m * n, GGML_TYPE_F32, n, m, 5, 5); + + free(split_k_buf); + } + } free(d_chk); @@ -4442,7 +4626,7 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp if (vk_prealloc_split_k.size > 0) { ggml_vk_destroy_buffer(vk_prealloc_split_k); } - vk_prealloc_split_k = ggml_vk_create_buffer(sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_prealloc_split_k = ggml_vk_create_buffer(sizeof(float) * d_ne * split_k, vk::MemoryPropertyFlagBits::eDeviceLocal); } } @@ -4472,7 +4656,7 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), m, n, k, k, k, m, split_k, vk_device.compute_queue, {}, {})); + seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), ggml_vk_subbuffer(vk_prealloc_split_k), m, n, k, k, k, m, split_k, 0, vk_device.compute_queue, {}, {})); } ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); @@ -4579,7 +4763,7 @@ void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, in if (vk_prealloc_split_k.size > 0) { ggml_vk_destroy_buffer(vk_prealloc_split_k); } - vk_prealloc_split_k = ggml_vk_create_buffer(sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_prealloc_split_k = ggml_vk_create_buffer(sizeof(float) * d_ne * split_k, vk::MemoryPropertyFlagBits::eDeviceLocal); } } @@ -4610,7 +4794,7 @@ void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, in auto begin = std::chrono::high_resolution_clock::now(); for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), m, n, k, k, k, m, split_k, vk_device.compute_queue, {}, {})); + seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), ggml_vk_subbuffer(vk_prealloc_split_k), m, n, k, k, k, m, split_k, 0, vk_device.compute_queue, {}, {})); } ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index f92bd3798c0fd..052f8cb96d10e 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -426,32 +426,28 @@ mulmat_split_k_reduce_src = """#version 450 -layout(local_size_x = 32, local_size_y = 32, local_size_z = 1) in; +layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer A {float data_a[];}; layout (binding = 1) writeonly buffer D {float data_d[];}; layout (push_constant) uniform parameter { - int M; - int N; - int k_num; - int d_offset; + uint ne; + uint k_num; + uint d_offset; } p; void main() { - const int glr = int(gl_GlobalInvocationID.x); - const int glc = int(gl_GlobalInvocationID.y); + const uint idx = gl_GlobalInvocationID.x; - if (glr >= p.M || glc >= p.N) { + if (idx >= p.ne) { return; } - const int idx = glc * p.M + glr; - float result = 0.0f; for (int i = 0; i < p.k_num; i++) { - result += data_a[i * p.M * p.N + idx]; + result += data_a[i * p.ne + idx]; } data_d[p.d_offset + idx] = result; @@ -1846,19 +1842,21 @@ layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; -layout (binding = 1) writeonly buffer D {D_TYPE data_d[];}; +layout (binding = 1) readonly buffer Y {B_TYPE data_b[];}; +layout (binding = 2) buffer D {D_TYPE data_d[];}; shared FLOAT_TYPE vals[BLOCK_SIZE]; void main() { - const uint row = gl_WorkGroupID.x; const uint tid = gl_LocalInvocationID.x; + const uint rowx = gl_WorkGroupID.x; + const uint rowy = rowx % p.KY; // Find max vals[tid] = uintBitsToFloat(0xFF800000); [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { - vals[tid] = max(vals[tid], FLOAT_TYPE(data_a[row * p.KX + col])); + vals[tid] = max(vals[tid], FLOAT_TYPE(data_a[rowx * p.KX + col]) * p.param1 + (p.KY > 0 ? FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f))); } barrier(); @@ -1876,8 +1874,8 @@ vals[tid] = FLOAT_TYPE(0.0f); [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { - const uint i = row*p.KX + col; - const FLOAT_TYPE val = exp(FLOAT_TYPE(data_a[i]) - max_val); + const uint i = rowx * p.KX + col; + const FLOAT_TYPE val = exp(FLOAT_TYPE(data_a[i]) * p.param1 + (p.KY > 0 ? FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f)) - max_val); vals[tid] += val; data_d[i] = D_TYPE(val); } @@ -1893,7 +1891,7 @@ const D_TYPE divisor = D_TYPE(vals[0]); [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) { - data_d[row*p.KX + col] /= divisor; + data_d[rowx*p.KX + col] /= divisor; } } """ @@ -2221,7 +2219,7 @@ async def main(): tasks.append(string_to_spv("diag_mask_inf_f32", f"{diag_mask_inf_head}\n{shader_f32}\n{diag_mask_inf_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) - tasks.append(string_to_spv("soft_max_f32", f"{generic_head}\n{shader_f32}\n{soft_max_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) + tasks.append(string_to_spv("soft_max_f32", f"{generic_head}\n{shader_f32}\n{soft_max_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, True)) tasks.append(string_to_spv("rope_f32", rope_src, {"A_TYPE": "float", "D_TYPE": "float"}, True)) tasks.append(string_to_spv("rope_f16", rope_src, {"A_TYPE": "float16_t", "D_TYPE": "float16_t"}, True)) diff --git a/llama.cpp b/llama.cpp index 1adf7eb0b17d6..73f987188b3b3 100644 --- a/llama.cpp +++ b/llama.cpp @@ -3617,10 +3617,7 @@ static void llm_load_tensors( LLAMA_LOG_INFO("%s: offloading non-repeating layers to GPU\n", __func__); } -#if GGML_USE_CUBLAS || GGML_USE_VULKAN - const int max_backend_supported_layers = hparams.n_layer + 1; - const int max_offloadable_layers = hparams.n_layer + 1; -#elif GGML_USE_CLBLAST +#if GGML_USE_CUBLAS || GGML_USE_VULKAN || GGML_USE_CLBLAST const int max_backend_supported_layers = hparams.n_layer + 1; const int max_offloadable_layers = hparams.n_layer + 1; #endif // GGML_USE_CUBLAS @@ -6008,7 +6005,7 @@ static int llama_decode_internal( } const bool fully_offloaded = model.n_gpu_layers >= (int) hparams.n_layer + 1; - if (ggml_cpu_has_cublas() && fully_offloaded) { + if ((ggml_cpu_has_cublas() || ggml_cpu_has_vulkan()) && fully_offloaded) { n_threads = 1; } From cd34b87de045801fbdddbb82cdb56eaa88baca6b Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 16 Dec 2023 09:35:14 +0100 Subject: [PATCH 115/142] Fix Python and shader header format --- ggml-vulkan-shaders.hpp | 116684 ++++++++++++++++----------------- ggml_vk_generate_shaders.py | 6 +- 2 files changed, 58345 insertions(+), 58345 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index 02360a9babca3..4075a453e00b6 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -1,58844 +1,58844 @@ #include unsigned char add_f32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0x3e, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, -0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, -0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0a, 0x00, 0x05, 0x00, 0x00, 0x00, -0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 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+0x38,0x00,0x01,0x00, }; const uint64_t add_f32_len = 1456; unsigned char clamp_f32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0x55, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, -0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, -0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x09, 0x00, 0x05, 0x00, 0x00, 0x00, -0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, -0x0b, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, -0x2c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, -0x11, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00, 0x0b, 0x00, 0x00, 0x00, -0x0b, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x48, 0x00, 0x05, 0x00, -0x12, 0x00, 0x00, 0x00, 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+0x81,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t dequant_f16_len = 4392; unsigned char dequant_f16_fp32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0xc8, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, -0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, -0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, -0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, -0x0f, 0x00, 0x09, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, -0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, -0x16, 0x00, 0x00, 0x00, 0x52, 0x00, 0x00, 0x00, 0x62, 0x00, 0x00, 0x00, -0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, -0x00, 0x01, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, -0x47, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 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+0xc1,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t dequant_q5_0_len = 13428; unsigned char dequant_q5_0_fp32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0x9b, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, -0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, -0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, -0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, -0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x09, 0x00, -0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, -0x00, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x16, 0x00, 0x00, 0x00, -0x58, 0x00, 0x00, 0x00, 0xa1, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, -0x04, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 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+0x89,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00, +0x92,0x01,0x00,0x00,0x83,0x01,0x00,0x00,0x89,0x01,0x00,0x00, +0xf8,0x00,0x02,0x00,0x89,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, +0x83,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x83,0x01,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t dequant_q5_K_len = 5888; unsigned char dequant_q5_K_fp32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0xa0, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x27, 0x00, 0x00, 0x00, -0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x60, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, -0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, -0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0a, 0x00, 0x05, 0x00, 0x00, 0x00, -0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 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+0xb0,0x02,0x00,0x00,0x76,0x00,0x00,0x00,0xd1,0x02,0x00,0x00, +0x51,0x00,0x05,0x00,0x49,0x00,0x00,0x00,0xb1,0x02,0x00,0x00, +0xa0,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x41,0x00,0x06,0x00, +0x55,0x00,0x00,0x00,0xb2,0x02,0x00,0x00,0x6e,0x00,0x00,0x00, +0x2e,0x00,0x00,0x00,0xb0,0x02,0x00,0x00,0x3e,0x00,0x03,0x00, +0xb2,0x02,0x00,0x00,0xb1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, +0x8f,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x8f,0x00,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t dequant_q8_0_len = 7592; unsigned char dequant_q8_0_fp32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0x23, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, -0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, -0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, -0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 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uint64_t f32_to_f16_fp32_len = 1596; unsigned char gelu_f32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0x45, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, -0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, -0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x09, 0x00, 0x05, 0x00, 0x00, 0x00, -0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, -0x0b, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, -0x2c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, -0x11, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00, 0x0b, 0x00, 0x00, 0x00, -0x0b, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x48, 0x00, 0x05, 0x00, -0x12, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 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+0x38,0x00,0x01,0x00, }; const uint64_t gelu_f32_len = 1408; unsigned char get_rows_f16_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0x7a, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, -0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, -0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, -0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, -0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0a, 0x00, -0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, -0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x1f, 0x00, 0x00, 0x00, -0x2d, 0x00, 0x00, 0x00, 0x57, 0x00, 0x00, 0x00, 0x65, 0x00, 0x00, 0x00, -0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, -0x00, 0x02, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, -0x47, 0x00, 0x04, 0x00, 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+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t get_rows_f16_len = 1940; unsigned char get_rows_f16_f32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0x7d, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, -0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, -0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, -0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, -0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0a, 0x00, -0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, -0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x1f, 0x00, 0x00, 0x00, -0x2d, 0x00, 0x00, 0x00, 0x57, 0x00, 0x00, 0x00, 0x65, 0x00, 0x00, 0x00, -0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, -0x00, 0x02, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 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+0x38,0x00,0x01,0x00, }; const uint64_t get_rows_q4_1_fp32_len = 2440; unsigned char get_rows_q5_0_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0xc2, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, -0x11, 0x00, 0x02, 0x00, 0x27, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x51, 0x11, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, -0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, -0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, -0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, -0x0f, 0x00, 0x0a, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, -0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, -0x1f, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 0x00, 0x5c, 0x00, 0x00, 0x00, -0xa6, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, -0x11, 0x00, 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+0x3e,0x00,0x03,0x00,0xb4,0x00,0x00,0x00,0xb3,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0xb7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, +0xb7,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t get_rows_q5_0_f32_fp32_len = 2868; unsigned char get_rows_q5_0_fp32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0xc3, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, -0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, -0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, -0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, -0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0a, 0x00, -0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, -0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x1f, 0x00, 0x00, 0x00, -0x2d, 0x00, 0x00, 0x00, 0x5c, 0x00, 0x00, 0x00, 0xa5, 0x00, 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+0x52,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0xaf,0x00,0x00,0x00, +0x41,0x00,0x06,0x00,0x5c,0x00,0x00,0x00,0xb1,0x00,0x00,0x00, +0xa1,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0xad,0x00,0x00,0x00, +0x3e,0x00,0x03,0x00,0xb1,0x00,0x00,0x00,0xb0,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0xb4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, +0xb4,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t get_rows_q5_1_fp32_len = 2796; unsigned char get_rows_q8_0_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0x86, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, -0x11, 0x00, 0x02, 0x00, 0x27, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x51, 0x11, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x60, 0x11, 0x00, 0x00, -0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, -0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, -0x0e, 0x00, 0x03, 0x00, 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matmul_f16_aligned_l_fp32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0xcd, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, -0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, -0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, -0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, -0x0f, 0x00, 0x0d, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, -0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, -0x19, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 0x00, 0xc5, 0x00, 0x00, 0x00, -0xd4, 0x00, 0x00, 0x00, 0x29, 0x01, 0x00, 0x00, 0x36, 0x01, 0x00, 0x00, -0x72, 0x02, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, -0x11, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x05, 0x00, 0x09, 0x00, 0x00, 0x00, -0x00, 0x00, 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= 9880; unsigned char matmul_f16_aligned_s_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0x32, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, -0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, -0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, -0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, -0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0d, 0x00, -0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, -0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, -0x2d, 0x00, 0x00, 0x00, 0xc7, 0x00, 0x00, 0x00, 0xd6, 0x00, 0x00, 0x00, -0x5d, 0x01, 0x00, 0x00, 0x6a, 0x01, 0x00, 0x00, 0xd9, 0x02, 0x00, 0x00, -0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 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+0xf9,0x00,0x02,0x00,0x99,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x99,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0xff,0x02,0x00,0x00,0x02,0x03,0x00,0x00,0x12,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0x96,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x98,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t matmul_f16_aligned_s_len = 11256; unsigned char matmul_f16_aligned_s_fp32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0xcd, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, -0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, -0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, -0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, -0x0f, 0x00, 0x0d, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, -0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 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uint64_t matmul_f16_f32_m_fp32_len = 9468; unsigned char matmul_f16_f32_s_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0xa9, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, -0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, -0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, -0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, -0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0d, 0x00, -0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, -0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, -0x2d, 0x00, 0x00, 0x00, 0xce, 0x00, 0x00, 0x00, 0xd9, 0x00, 0x00, 0x00, -0x1b, 0x01, 0x00, 0x00, 0x26, 0x01, 0x00, 0x00, 0x4f, 0x02, 0x00, 0x00, -0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 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+0xf8,0x00,0x02,0x00,0x0b,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x73,0x02,0x00,0x00,0x76,0x02,0x00,0x00, +0x12,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x08,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0x0a,0x02,0x00,0x00,0xfd,0x00,0x01,0x00, +0x38,0x00,0x01,0x00, }; const uint64_t matmul_f16_l_fp32_len = 9484; unsigned char matmul_f16_m_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0xa8, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x09, 0x00, 0x00, 0x00, -0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, -0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, -0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, -0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0d, 0x00, -0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, -0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x19, 0x00, 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+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t matmul_f16_m_len = 9524; unsigned char matmul_f16_m_fp32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0xa6, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, -0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, 0x47, 0x4c, 0x53, 0x4c, -0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, 0x00, 0x00, 0x00, 0x00, -0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, -0x0f, 0x00, 0x0d, 0x00, 0x05, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, -0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, -0x19, 0x00, 0x00, 0x00, 0x2d, 0x00, 0x00, 0x00, 0xcd, 0x00, 0x00, 0x00, -0xd9, 0x00, 0x00, 0x00, 0x1b, 0x01, 0x00, 0x00, 0x26, 0x01, 0x00, 0x00, -0x4b, 0x02, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, -0x11, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 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+0x7b,0x04,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t mul_mat_vec_q5_K_f32_len = 12048; unsigned char mul_mat_vec_q6_K_f32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0x97, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, 0x27, 0x00, 0x00, 0x00, -0x11, 0x00, 0x02, 0x00, 0x51, 0x11, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x60, 0x11, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, -0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, -0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x0c, 0x00, 0x05, 0x00, 0x00, 0x00, -0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, -0x0c, 0x00, 0x00, 0x00, 0x15, 0x00, 0x00, 0x00, 0x21, 0x00, 0x00, 0x00, -0x57, 0x00, 0x00, 0x00, 0x7f, 0x00, 0x00, 0x00, 0x94, 0x00, 0x00, 0x00, -0x9c, 0x01, 0x00, 0x00, 0x10, 0x00, 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+0x38,0x00,0x01,0x00, }; const uint64_t norm_f32_len = 2572; unsigned char relu_f32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0x34, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, -0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, -0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x09, 0x00, 0x05, 0x00, 0x00, 0x00, -0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, -0x0b, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x22, 0x00, 0x00, 0x00, -0x27, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, -0x11, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00, 0x0b, 0x00, 0x00, 0x00, -0x0b, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x48, 0x00, 0x05, 0x00, -0x12, 0x00, 0x00, 0x00, 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uint64_t rope_f32_len = 3072; unsigned char scale_f32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0x37, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, -0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, -0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x09, 0x00, 0x05, 0x00, 0x00, 0x00, -0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, -0x0b, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x22, 0x00, 0x00, 0x00, -0x27, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, -0x11, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x47, 0x00, 0x04, 0x00, 0x0b, 0x00, 0x00, 0x00, -0x0b, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x48, 0x00, 0x05, 0x00, -0x12, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x23, 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+0x29,0x00,0x00,0x00,0x31,0x00,0x00,0x00,0x22,0x00,0x00,0x00, +0x16,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x3e,0x00,0x03,0x00, +0x31,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x35,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x35,0x00,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t scale_f32_len = 1256; unsigned char silu_f32_data[] = { -0x03, 0x02, 0x23, 0x07, 0x00, 0x05, 0x01, 0x00, 0x0b, 0x00, 0x0d, 0x00, -0x3b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x00, 0x02, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x06, 0x00, 0x01, 0x00, 0x00, 0x00, -0x47, 0x4c, 0x53, 0x4c, 0x2e, 0x73, 0x74, 0x64, 0x2e, 0x34, 0x35, 0x30, -0x00, 0x00, 0x00, 0x00, 0x0e, 0x00, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, -0x01, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x09, 0x00, 0x05, 0x00, 0x00, 0x00, -0x04, 0x00, 0x00, 0x00, 0x6d, 0x61, 0x69, 0x6e, 0x00, 0x00, 0x00, 0x00, -0x0b, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, -0x2c, 0x00, 0x00, 0x00, 0x10, 0x00, 0x06, 0x00, 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+0xf9,0x00,0x02,0x00,0x35,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, +0x35,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; const uint64_t sqr_f32_len = 1188; diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index 052f8cb96d10e..2cdfada62420b 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -2191,8 +2191,8 @@ async def main(): tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}, fp16)) - tasks.append(string_to_spv(f"mul_mat_vec_p021_f16_f32", mul_mat_p021_src, {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, True)) - tasks.append(string_to_spv(f"mul_mat_vec_nc_f16_f32", mul_mat_nc_src, {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, True)) + tasks.append(string_to_spv("mul_mat_vec_p021_f16_f32", mul_mat_p021_src, {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, True)) + tasks.append(string_to_spv("mul_mat_vec_nc_f16_f32", mul_mat_nc_src, {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, True)) # Norms tasks.append(string_to_spv("norm_f32", f"{generic_head}\n{shader_f32}\n{norm_body}", {"A_TYPE": "float", "D_TYPE": "float"}, True)) @@ -2235,7 +2235,7 @@ async def main(): newline_counter = 0 f.write(f"unsigned char {name}_data[] = {{\n") for val in spv.read(): - f.write(f"0x{val:02x}, ") + f.write(f"0x{val:02x},") newline_counter += 1 counter += 1 if newline_counter >= 12: From c05883f3a9370448722f6ba85e1c7d1f069f1a83 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 16 Dec 2023 14:49:03 +0100 Subject: [PATCH 116/142] Free model gpu buffers on exit --- llama.cpp | 3 +++ 1 file changed, 3 insertions(+) diff --git a/llama.cpp b/llama.cpp index 73f987188b3b3..a0fc74e4224ba 100644 --- a/llama.cpp +++ b/llama.cpp @@ -1451,6 +1451,9 @@ struct llama_model { ggml_cl_free_data(tensors_by_name[i].second); } #elif defined(GGML_USE_VULKAN) + for (size_t i = 0; i < tensors_by_name.size(); ++i) { + ggml_vk_free_data(tensors_by_name[i].second); + } ggml_vk_cleanup(); #endif } From e9e2be33fdca831a95825ac8dad7180dd5ccdbf0 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Mon, 18 Dec 2023 19:25:46 +0100 Subject: [PATCH 117/142] Use single queue per device to simplify code --- ggml-vulkan.cpp | 137 +++++++++++++++++++----------------------------- 1 file changed, 55 insertions(+), 82 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index ecc2beb47ff1a..c2699e31caf69 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -37,8 +37,6 @@ #define CEIL_DIV(M, N) (((M) + (N)-1) / (N)) -#define VK_TRANSFER_QUEUE_COUNT 2 - #define VK_VENDOR_ID_AMD 0x1002 #define VK_VENDOR_ID_INTEL 0x8086 #define VK_VENDOR_ID_NVIDIA 0x10de @@ -129,7 +127,7 @@ struct vk_device { vk::Device device; uint32_t vendor_id; vk_queue compute_queue; - vk_queue transfer_queues[VK_TRANSFER_QUEUE_COUNT]; + vk_queue transfer_queue; uint32_t descriptor_set_mode; }; @@ -175,8 +173,7 @@ struct vk_staging_memcpy { struct ggml_vk_tensor_extra_gpu { bool ready; std::vector memcpys; - std::vector in0_seqs; - std::vector in1_seqs; + std::vector in_seqs; std::vector comp_seqs; std::vector out_seqs; @@ -972,29 +969,17 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; // Try to find a non-graphics compute queue and transfer-focused queues const uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1, 1); - const uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics, compute_queue_family_index, 2); - - uint32_t transfer_queue_count = VK_TRANSFER_QUEUE_COUNT; - - // If not enough transfer queues are available - if (transfer_queue_count > queue_family_props[transfer_queue_family_index].queueCount) { - // If compute and transfer queues are same family - if (compute_queue_family_index == transfer_queue_family_index) { - transfer_queue_count = queue_family_props[transfer_queue_family_index].queueCount - 1; - } else { - transfer_queue_count = queue_family_props[transfer_queue_family_index].queueCount; - } - } + const uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics, compute_queue_family_index, 1); const float compute_queue_priority = 1.0f; - const float transfer_queue_priority[] = { 1.0f, 1.0f, 1.0f }; + const float transfer_queue_priority = 1.0f; std::vector device_queue_create_infos; if (compute_queue_family_index != transfer_queue_family_index) { device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, &compute_queue_priority}); - GGML_ASSERT(transfer_queue_count > 0); - device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, transfer_queue_count, transfer_queue_priority}); + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, 1, &transfer_queue_priority}); } else { - device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, 1 + transfer_queue_count, transfer_queue_priority}); + const float priorities[] = { compute_queue_priority, transfer_queue_priority }; + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 2, priorities}); } vk::DeviceCreateInfo device_create_info; std::vector device_extensions; @@ -1051,16 +1036,10 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; ggml_vk_load_shaders(); // Queues - uint32_t queue_index_offset = compute_queue_family_index == transfer_queue_family_index ? 1 : 0; + const uint32_t transfer_queue_index = compute_queue_family_index == transfer_queue_family_index ? 1 : 0; vk_device.compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader | vk::PipelineStageFlagBits::eTransfer }); - for (int i = 0; i < VK_TRANSFER_QUEUE_COUNT; i++) { - if (transfer_queue_count > 0) { - vk_device.transfer_queues[i] = ggml_vk_create_queue(transfer_queue_family_index, (queue_index_offset + i) % transfer_queue_count, { vk::PipelineStageFlagBits::eTransfer }); - } else { - vk_device.transfer_queues[i] = vk_device.compute_queue; - } - } + vk_device.transfer_queue = ggml_vk_create_queue(transfer_queue_family_index, transfer_queue_index, { vk::PipelineStageFlagBits::eTransfer }); vk_fence = vk_device.device.createFence({}); @@ -1988,8 +1967,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const int64_t r3 = ne13 / ne03; vk_queue& compq = vk_device.compute_queue; - vk_queue& tr0q = vk_device.transfer_queues[0]; - vk_queue& tr1q = vk_device.transfer_queues[1]; + vk_queue& trq = vk_device.transfer_queue; const bool load_x = src0->backend != GGML_BACKEND_GPU; const bool load_y = src1->backend != GGML_BACKEND_GPU; @@ -2128,7 +2106,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * if (load_x) { // copy data to device - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, ne01, tr0q, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); + extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, ne01, trq, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); } if (qx_needs_dequant) { @@ -2190,7 +2168,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * if (y_non_contig) { mm_semaphores.push_back(y_semaphore); } else if (load_y) { - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, ne11, tr1q, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); + extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, ne11, trq, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); mm_semaphores.push_back({ sem->s, sem->value + 1 }); } @@ -2200,7 +2178,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, tr1q, { { sem->s, sem->value + 2 } }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, trq, { { sem->s, sem->value + 2 } }, {})); } sem->value += 2; @@ -2242,7 +2220,7 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const bool y_non_contig = !load_y && !ggml_vk_dim01_contiguous(src1); vk_queue& compq = vk_device.compute_queue; - vk_queue& tr0q = vk_device.transfer_queues[0]; + vk_queue& trq = vk_device.transfer_queue; const bool f16_f32_kernel = src1->type == GGML_TYPE_F32; const bool qx_needs_dequant = x_non_contig; @@ -2340,7 +2318,7 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); // copy data to device - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, 0, src0, 0, 0, ggml_nrows(src0), tr0q, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); + extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, 0, src0, 0, 0, ggml_nrows(src0), trq, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); semaphores.push_back({ sem->s, sem->value + 1 }); sem->value += 1; @@ -2691,7 +2669,7 @@ static void ggml_vk_op_repeat(const ggml_tensor * src0, const ggml_tensor * src1 } } - vk_submission s = ggml_vk_begin_submission(vk_device.transfer_queues[0]); + vk_submission s = ggml_vk_begin_submission(vk_device.transfer_queue); vkCmdCopyBuffer(s.buffer, src_buf->buffer, dst_buf->buffer, copies.size(), copies.data()); ggml_vk_end_submission(s, {}, {}); extra->out_seqs.push_back({ s }); @@ -2910,13 +2888,13 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g // copy src0 to device if (transfer_src0) { vk_semaphore * sem_x = ggml_vk_create_timeline_semaphore(); - extra->in0_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, 0, src0, 0, 0, ggml_nrows(src0), vk_device.transfer_queues[0], {}, { { sem_x->s, sem_x->value + 1 } }, nullptr, &extra->memcpys)); + extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, 0, src0, 0, 0, ggml_nrows(src0), vk_device.transfer_queue, {}, { { sem_x->s, sem_x->value + 1 } }, nullptr, &extra->memcpys)); transfer_semaphores.push_back({ sem_x->s, sem_x->value + 1}); sem_x->value += 1; } if (transfer_src1) { vk_semaphore * sem_y = ggml_vk_create_timeline_semaphore(); - extra->in1_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, 0, src1, 0, 0, ggml_nrows(src1), vk_device.transfer_queues[1], {}, { { sem_y->s, sem_y->value + 1 } }, nullptr, &extra->memcpys)); + extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, 0, src1, 0, 0, ggml_nrows(src1), vk_device.transfer_queue, {}, { { sem_y->s, sem_y->value + 1 } }, nullptr, &extra->memcpys)); transfer_semaphores.push_back({ sem_y->s, sem_y->value + 1 }); sem_y->value += 1; } @@ -2967,7 +2945,7 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g extra->comp_seqs.push_back({ s }); // copy dst to host - extra->out_seqs.push_back(ggml_vk_d2h_tensor_2d(d_D, 0, dst, vk_device.transfer_queues[1], { *fsem }, {})); + extra->out_seqs.push_back(ggml_vk_d2h_tensor_2d(d_D, 0, dst, vk_device.transfer_queue, { *fsem }, {})); } else if(dst->backend == GGML_BACKEND_CPU) { vk_semaphore * fsem = ggml_vk_create_binary_semaphore(); ggml_vk_end_submission(s, std::move(transfer_semaphores), { *fsem }); @@ -2975,7 +2953,7 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g // copy dst to host float * d = (float *) dst->data; - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, d, d_sz, vk_device.transfer_queues[1], { *fsem }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, d, d_sz, vk_device.transfer_queue, { *fsem }, {})); } else { ggml_vk_end_submission(s, std::move(transfer_semaphores), {}); extra->comp_seqs.push_back({ s }); @@ -3025,7 +3003,7 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g extra->comp_seqs.push_back({ s }); // copy dst to host - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_buf_offset + d_offset, (char *) dst->data + i02*nb2 + i03*nb3, d_sz, vk_device.transfer_queues[1], { *fsem }, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_buf_offset + d_offset, (char *) dst->data + i02*nb2 + i03*nb3, d_sz, vk_device.transfer_queue, { *fsem }, {})); } else { ggml_vk_end_submission(s, std::move(transfer_semaphores), {}); extra->comp_seqs.push_back({ s }); @@ -3127,7 +3105,7 @@ static void ggml_vk_nop(const ggml_tensor * src0, ggml_tensor * dst) { ggml_vk_tensor_extra_gpu * extra = (ggml_vk_tensor_extra_gpu *) dst->extra; ggml_vk_tensor_extra_gpu * extra_src0 = (ggml_vk_tensor_extra_gpu *) src0->extra; vk_buffer * d_D = extra_src0->buffer_gpu; - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, dst->data, d_D->size, vk_device.transfer_queues[1], {}, {})); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, dst->data, d_D->size, vk_device.transfer_queue, {}, {})); } } @@ -3148,7 +3126,7 @@ static void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor, bool buf extra->buffer_gpu = new vk_buffer; *extra->buffer_gpu = ggml_vk_pool_malloc(size, vk::MemoryPropertyFlagBits::eDeviceLocal); - ggml_vk_buffer_write(extra->buffer_gpu, 0, data, size, vk_device.transfer_queues[0]); + ggml_vk_buffer_write(extra->buffer_gpu, 0, data, size, vk_device.transfer_queue); extra->buffer_static = buffer_static; @@ -3178,7 +3156,7 @@ void ggml_vk_assign_buffer(ggml_tensor * tensor) { extra->buffer_gpu = new vk_buffer; *extra->buffer_gpu = ggml_vk_create_buffer(ggml_nbytes(tensor), vk::MemoryPropertyFlagBits::eDeviceLocal); - ggml_vk_buffer_memset(extra->buffer_gpu, 0, 0, VK_WHOLE_SIZE, vk_device.transfer_queues[0]); + ggml_vk_buffer_memset(extra->buffer_gpu, 0, 0, VK_WHOLE_SIZE, vk_device.transfer_queue); extra->buffer_static = true; } @@ -3763,13 +3741,12 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) for (auto& cpy : extra->memcpys) { memcpy(cpy.dst, cpy.src, cpy.n); } - ggml_vk_submit(vk_device.transfer_queues[0], extra->in0_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.transfer_queues[1], extra->in1_seqs, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queue, extra->in_seqs, VK_NULL_HANDLE); if (extra->out_seqs.empty()) { ggml_vk_submit(vk_device.compute_queue, extra->comp_seqs, vk_fence); } else { ggml_vk_submit(vk_device.compute_queue, extra->comp_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.transfer_queues[1], extra->out_seqs, vk_fence); + ggml_vk_submit(vk_device.transfer_queue, extra->out_seqs, vk_fence); } VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "ggml_vk_compute_forward waitForFences"); @@ -3796,8 +3773,7 @@ void ggml_vk_graph_cleanup() { vk_gc.pipelines.clear(); ggml_vk_queue_cleanup(vk_device.compute_queue); - ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); - ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + ggml_vk_queue_cleanup(vk_device.transfer_queue); for (size_t i = 0; i < vk_gc.semaphores.size(); i++) { vk_device.device.destroySemaphore({ vk_gc.semaphores[i].s }); @@ -3885,7 +3861,7 @@ void ggml_vk_print_tensor(const ggml_tensor * tensor, const char * name) { const size_t tensor_size = ggml_vk_tensor_size(tensor); tensor_data = malloc(tensor_size); - ggml_vk_buffer_read((vk_buffer *)tensor->data, 0, tensor_data, tensor_size, vk_device.transfer_queues[0]); + ggml_vk_buffer_read((vk_buffer *)tensor->data, 0, tensor_data, tensor_size, vk_device.transfer_queue); } std::cerr << "TENSOR CHECK " << name << " (" << tensor->name << "): " << ggml_op_name(tensor->op) << std::endl; @@ -3997,7 +3973,7 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) for (int i3 = 0; i3 < src0->ne[3]; i3++) { for (int i2 = 0; i2 < src0->ne[2]; i2++) { const int idx = i3*src0->ne[2] + i2; - ggml_vk_buffer_read(extra->buffer_gpu, offset + idx * src0->nb[2], ((char *)src0_clone->data + idx * src0_clone->nb[2]), src0->ne[1] * src0->nb[1], vk_device.transfer_queues[0]); + ggml_vk_buffer_read(extra->buffer_gpu, offset + idx * src0->nb[2], ((char *)src0_clone->data + idx * src0_clone->nb[2]), src0->ne[1] * src0->nb[1], vk_device.transfer_queue); } } @@ -4010,7 +3986,7 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) if (offset + src0_size >= extra->buffer_gpu->size) { src0_size = extra->buffer_gpu->size - offset; } - ggml_vk_buffer_read(extra->buffer_gpu, offset, src0_clone->data, src0_size, vk_device.transfer_queues[0]); + ggml_vk_buffer_read(extra->buffer_gpu, offset, src0_clone->data, src0_size, vk_device.transfer_queue); memcpy(src0_clone->nb, src0->nb, sizeof(size_t) * GGML_MAX_DIMS); } } else { @@ -4040,7 +4016,7 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) for (int i3 = 0; i3 < src1->ne[3]; i3++) { for (int i2 = 0; i2 < src1->ne[2]; i2++) { const int idx = i3*src1->ne[2] + i2; - ggml_vk_buffer_read(extra->buffer_gpu, offset + idx * src1->nb[2], ((char *)src1_clone->data + idx * src1_clone->nb[2]), src1->ne[1] * src1->nb[1], vk_device.transfer_queues[0]); + ggml_vk_buffer_read(extra->buffer_gpu, offset + idx * src1->nb[2], ((char *)src1_clone->data + idx * src1_clone->nb[2]), src1->ne[1] * src1->nb[1], vk_device.transfer_queue); } } @@ -4053,7 +4029,7 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) if (offset + src1_size >= extra->buffer_gpu->size) { src1_size = extra->buffer_gpu->size - offset; } - ggml_vk_buffer_read(extra->buffer_gpu, offset, src1_clone->data, src1_size, vk_device.transfer_queues[0]); + ggml_vk_buffer_read(extra->buffer_gpu, offset, src1_clone->data, src1_size, vk_device.transfer_queue); memcpy(src1_clone->nb, src1->nb, sizeof(size_t) * GGML_MAX_DIMS); } } else { @@ -4209,7 +4185,7 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) tensor_size = extra->buffer_gpu->size - extra->offset; } - ggml_vk_buffer_read(extra->buffer_gpu, extra->offset, tensor_data, tensor_size, vk_device.transfer_queues[0]); + ggml_vk_buffer_read(extra->buffer_gpu, extra->offset, tensor_data, tensor_size, vk_device.transfer_queue); } float first_error_result = -1.0f; @@ -4356,9 +4332,9 @@ void ggml_vk_test_transfer(size_t ne) { auto begin = std::chrono::high_resolution_clock::now(); - ggml_vk_buffer_write(&buffer, 0, x, sizeof(float) * ne, vk_device.transfer_queues[0]); + ggml_vk_buffer_write(&buffer, 0, x, sizeof(float) * ne, vk_device.transfer_queue); - vk_device.transfer_queues[0].queue.waitIdle(); + vk_device.transfer_queue.queue.waitIdle(); auto end = std::chrono::high_resolution_clock::now(); @@ -4366,7 +4342,7 @@ void ggml_vk_test_transfer(size_t ne) { begin = std::chrono::high_resolution_clock::now(); - ggml_vk_buffer_read(&buffer, 0, y, sizeof(float) * ne, vk_device.transfer_queues[1]); + ggml_vk_buffer_read(&buffer, 0, y, sizeof(float) * ne, vk_device.transfer_queue); end = std::chrono::high_resolution_clock::now(); @@ -4483,13 +4459,13 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp y[i] = 1.0f; // (rand() / (float)RAND_MAX) * 2.0f - 1.0f; } - seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(float) * k, sizeof(float) * k, m, vk_device.transfer_queues[0], {}, {})); - seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(float) * k, sizeof(float) * k, n, vk_device.transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(float) * k, sizeof(float) * k, m, vk_device.transfer_queue, {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(float) * k, sizeof(float) * k, n, vk_device.transfer_queue, {}, {})); - ggml_vk_submit(vk_device.transfer_queues[0], seq, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queue, seq, VK_NULL_HANDLE); // Wait for transfers to finish - vk_device.transfer_queues[0].queue.waitIdle(); + vk_device.transfer_queue.queue.waitIdle(); auto begin = std::chrono::high_resolution_clock::now(); @@ -4504,7 +4480,7 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp auto end = std::chrono::high_resolution_clock::now(); // copy dst to host - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queues[0]); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queue); float * d_chk = (float *) malloc(sizeof(float) * d_ne); @@ -4538,7 +4514,7 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp if (split_k > 1) { float * split_k_buf = (float *) malloc(sizeof(float) * d_ne * split_k); - ggml_vk_buffer_read(&vk_prealloc_split_k, 0, split_k_buf, sizeof(float) * d_ne * split_k, vk_device.transfer_queues[0]); + ggml_vk_buffer_read(&vk_prealloc_split_k, 0, split_k_buf, sizeof(float) * d_ne * split_k, vk_device.transfer_queue); std::cerr << "d_buf0: " << std::endl << std::endl; ggml_vk_print_matrix_area(split_k_buf, GGML_TYPE_F32, n, m, 5, 5); @@ -4558,8 +4534,7 @@ void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int sp free(d_chk); - ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); - ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + ggml_vk_queue_cleanup(vk_device.transfer_queue); ggml_vk_queue_cleanup(vk_device.compute_queue); ggml_vk_destroy_buffer(d_X); @@ -4645,13 +4620,13 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp y[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); } - seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, vk_device.transfer_queues[0], {}, {})); - seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, n, vk_device.transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, vk_device.transfer_queue, {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, n, vk_device.transfer_queue, {}, {})); - ggml_vk_submit(vk_device.transfer_queues[0], seq, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queue, seq, VK_NULL_HANDLE); // Wait for transfers to finish - vk_device.transfer_queues[0].queue.waitIdle(); + vk_device.transfer_queue.queue.waitIdle(); auto begin = std::chrono::high_resolution_clock::now(); @@ -4666,7 +4641,7 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp auto end = std::chrono::high_resolution_clock::now(); // copy dst to host - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queues[0]); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queue); float * fx = (float *) malloc(sizeof(float) * x_ne); float * fy = (float *) malloc(sizeof(float) * y_ne); @@ -4695,8 +4670,7 @@ void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int sp free(fy); free(d_chk); - ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); - ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + ggml_vk_queue_cleanup(vk_device.transfer_queue); ggml_vk_queue_cleanup(vk_device.compute_queue); ggml_vk_destroy_buffer(d_X); @@ -4783,13 +4757,13 @@ void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, in y[i] = rand() / (float)RAND_MAX; } - seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, vk_device.transfer_queues[0], {}, {})); - seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(float) * k, sizeof(float) * k, n, vk_device.transfer_queues[0], {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, vk_device.transfer_queue, {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(float) * k, sizeof(float) * k, n, vk_device.transfer_queue, {}, {})); - ggml_vk_submit(vk_device.transfer_queues[0], seq, VK_NULL_HANDLE); + ggml_vk_submit(vk_device.transfer_queue, seq, VK_NULL_HANDLE); // Wait for transfers to finish - vk_device.transfer_queues[0].queue.waitIdle(); + vk_device.transfer_queue.queue.waitIdle(); auto begin = std::chrono::high_resolution_clock::now(); @@ -4804,7 +4778,7 @@ void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, in auto end = std::chrono::high_resolution_clock::now(); // copy dst to host - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queues[0]); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queue); float * fx = (float *) malloc(sizeof(float) * x_ne); float * d_chk = (float *) malloc(sizeof(float) * d_ne); @@ -4830,8 +4804,7 @@ void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, in free(fx); free(d_chk); - ggml_vk_queue_cleanup(vk_device.transfer_queues[0]); - ggml_vk_queue_cleanup(vk_device.transfer_queues[1]); + ggml_vk_queue_cleanup(vk_device.transfer_queue); ggml_vk_queue_cleanup(vk_device.compute_queue); ggml_vk_destroy_buffer(d_X); From 7b36cea8a3bbb50e944b8e64d7303548fa6c79ec Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 30 Dec 2023 12:36:24 +0100 Subject: [PATCH 118/142] Add matmul shader support for running multiple calculations in parallel --- ggml-vulkan-shaders.hpp | 60995 ++++++++++++++++++---------------- ggml-vulkan.cpp | 1505 +- ggml_vk_generate_shaders.py | 143 +- 3 files changed, 32262 insertions(+), 30381 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index 4075a453e00b6..48b6c5f69dcfd 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -20334,30309 +20334,32262 @@ const uint64_t get_rows_q8_0_fp32_len = 2296; unsigned char matmul_f16_aligned_l_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0x32,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x5e,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00, 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64, 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, -0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00, +0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00, 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unsigned char matmul_f16_aligned_l_fp32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xcd,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0xf6,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00, 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c, 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00, 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, +0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, -0x19,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0xc5,0x00,0x00,0x00, -0xd4,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x36,0x01,0x00,0x00, -0x72,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00, -0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x09,0x00,0x00,0x00, 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11256; +const uint64_t matmul_f16_aligned_m_len = 11944; unsigned char matmul_f16_aligned_m_fp32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xcd,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0xf6,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00, 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c, 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00, 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, +0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, -0x19,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0xc5,0x00,0x00,0x00, -0xd4,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x36,0x01,0x00,0x00, -0x72,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00, -0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 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matmul_f16_f32_aligned_s_len = 11416; +const uint64_t matmul_f16_f32_aligned_s_fp32_len = 10472; -unsigned char matmul_f16_f32_aligned_s_fp32_data[] = { +unsigned char matmul_f16_f32_l_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xca,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, -0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00, -0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c, -0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00, -0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, -0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, -0x19,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0xc5,0x00,0x00,0x00, -0xd4,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x37,0x01,0x00,0x00, -0x70,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00, +0xd2,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, 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-unsigned char matmul_f16_f32_l_data[] = { +unsigned char matmul_f16_f32_l_fp32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xa9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, -0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, -0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00, -0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64, -0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, -0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00, -0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, -0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0xd9,0x00,0x00,0x00, -0x1b,0x01,0x00,0x00,0x26,0x01,0x00,0x00,0x4f,0x02,0x00,0x00, -0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x48,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 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char matmul_f16_f32_m_data[] = { +unsigned char matmul_f16_f32_m_fp32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xa9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, -0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, -0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00, -0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64, -0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, -0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00, -0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, -0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0xd9,0x00,0x00,0x00, -0x1b,0x01,0x00,0x00,0x26,0x01,0x00,0x00,0x4f,0x02,0x00,0x00, -0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x48,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 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char matmul_f16_f32_s_data[] = { +unsigned char matmul_f16_f32_s_fp32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xa9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, -0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, -0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00, -0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64, -0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, -0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00, -0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, -0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0xd9,0x00,0x00,0x00, -0x1b,0x01,0x00,0x00,0x26,0x01,0x00,0x00,0x4f,0x02,0x00,0x00, -0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x48,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 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matmul_f16_s_len = 9524; +const uint64_t matmul_f16_m_fp32_len = 10124; -unsigned char matmul_f16_s_fp32_data[] = { +unsigned char matmul_f16_s_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xa6,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, -0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00, -0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c, -0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00, -0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, -0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, -0x19,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0xcd,0x00,0x00,0x00, -0xd9,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,0x26,0x01,0x00,0x00, -0x4b,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00, +0xd1,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, 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+0x29,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, + }; -const uint64_t matmul_f32_aligned_s_fp32_len = 9716; +const uint64_t matmul_f32_l_fp32_len = 10056; -unsigned char matmul_f32_l_data[] = { +unsigned char matmul_f32_m_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xa9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0xd2,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c, 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00, 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, +0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, -0x19,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0xce,0x00,0x00,0x00, -0xd9,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x27,0x01,0x00,0x00, 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-0x38,0x00,0x01,0x00, -}; -const uint64_t matmul_f32_l_len = 9532; - -unsigned char matmul_f32_l_fp32_data[] = { -0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xa2,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, -0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00, -0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30, -0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00, -0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x2d,0x00,0x00,0x00, -0xcd,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0x19,0x01,0x00,0x00, -0x24,0x01,0x00,0x00,0x48,0x02,0x00,0x00,0x10,0x00,0x06,0x00, +0x12,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x4c,0x00,0x00,0x00, +0xf2,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x3f,0x01,0x00,0x00, +0x4a,0x01,0x00,0x00,0x71,0x02,0x00,0x00,0x10,0x00,0x06,0x00, 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 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+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_f32_s_len = 9532; +const uint64_t matmul_f32_s_len = 10172; unsigned char matmul_f32_s_fp32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xa2,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0xcb,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00, 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30, 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x2d,0x00,0x00,0x00, -0xcd,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0x19,0x01,0x00,0x00, -0x24,0x01,0x00,0x00,0x48,0x02,0x00,0x00,0x10,0x00,0x06,0x00, -0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 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+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x02,0x00,0x00, +0x6c,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x15,0x00,0x00,0x00, +0x71,0x02,0x00,0x00,0x12,0x00,0x00,0x00,0x70,0x02,0x00,0x00, +0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x72,0x02,0x00,0x00, +0x71,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x73,0x02,0x00,0x00,0x0f,0x00,0x00,0x00,0x72,0x02,0x00,0x00, +0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x74,0x02,0x00,0x00, +0x6d,0x02,0x00,0x00,0x73,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x76,0x02,0x00,0x00,0x74,0x02,0x00,0x00, +0x25,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x79,0x02,0x00,0x00,0x45,0x02,0x00,0x00,0x9e,0x02,0x00,0x00, +0x41,0x00,0x05,0x00,0x15,0x00,0x00,0x00,0x7b,0x02,0x00,0x00, +0x12,0x00,0x00,0x00,0x7a,0x02,0x00,0x00,0x3d,0x00,0x04,0x00, +0x06,0x00,0x00,0x00,0x7c,0x02,0x00,0x00,0x7b,0x02,0x00,0x00, +0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7d,0x02,0x00,0x00, +0x79,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x7e,0x02,0x00,0x00,0x76,0x02,0x00,0x00, +0x7d,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x80,0x02,0x00,0x00,0x7e,0x02,0x00,0x00,0x3d,0x02,0x00,0x00, +0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x82,0x02,0x00,0x00, +0x80,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,0x84,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x84,0x02,0x00,0x00,0x9b,0x02,0x00,0x00, +0xb1,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x86,0x02,0x00,0x00,0x84,0x02,0x00,0x00,0x9e,0x02,0x00,0x00, +0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x88,0x02,0x00,0x00, +0x86,0x02,0x00,0x00,0x87,0x02,0x00,0x00,0x84,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x8a,0x02,0x00,0x00,0x9c,0x02,0x00,0x00, +0x62,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x8b,0x02,0x00,0x00,0x88,0x02,0x00,0x00,0x8a,0x02,0x00,0x00, +0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8d,0x02,0x00,0x00, +0x8b,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,0x41,0x00,0x05,0x00, +0xc2,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,0xbf,0x00,0x00,0x00, +0x8d,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xb9,0x00,0x00,0x00, +0x8f,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,0x41,0x00,0x06,0x00, +0x07,0x01,0x00,0x00,0x90,0x02,0x00,0x00,0x6a,0x02,0x00,0x00, +0x34,0x00,0x00,0x00,0x82,0x02,0x00,0x00,0x3e,0x00,0x03,0x00, +0x90,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, +0x66,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x66,0x02,0x00,0x00, +0xf9,0x00,0x02,0x00,0x52,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x52,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x92,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,0xc5,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0x4f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x51,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x4a,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0x4a,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x94,0x02,0x00,0x00,0x9e,0x02,0x00,0x00, +0xc5,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x47,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0x49,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, +0x32,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x32,0x02,0x00,0x00, +0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x96,0x02,0x00,0x00, +0x9c,0x02,0x00,0x00,0xc5,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x2f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x31,0x02,0x00,0x00, +0xf9,0x00,0x02,0x00,0x2a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x2a,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0x98,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,0xc5,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0x27,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, +0x29,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, + }; -const uint64_t matmul_f32_s_fp32_len = 9416; +const uint64_t matmul_f32_s_fp32_len = 10056; unsigned char mul_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index c2699e31caf69..79ed874c86f6f 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1,6 +1,6 @@ #include "ggml-vulkan.h" -#ifdef VK_CHK_KERNEL +#ifdef VK_RUN_TESTS #include #include #endif @@ -190,6 +190,7 @@ struct ggml_vk_garbage_collector { std::vector pipelines; std::vector tl_semaphores; std::vector semaphores; + std::vector events; std::vector temp_buffers; }; @@ -223,7 +224,7 @@ vk_pipeline vk_pipeline_diag_mask_inf_f32; vk_pipeline vk_pipeline_soft_max_f32; vk_pipeline vk_pipeline_rope_f32, vk_pipeline_rope_f16; -static size_t vk_semaphore_idx; +static size_t vk_semaphore_idx, vk_event_idx; static ggml_vk_garbage_collector vk_gc; static std::vector> vk_pinned_memory; static size_t vk_prealloc_size_qx, vk_prealloc_size_qy, vk_prealloc_size_x, vk_prealloc_size_y, vk_prealloc_size_split_k; @@ -238,7 +239,7 @@ static vk::Fence vk_fence; size_t vk_output_tensor; #endif -static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_size, const void* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { +static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_size, const void* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_pipeline(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl; #endif @@ -316,14 +317,14 @@ static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_s for (size_t i = 0; i < specialization_constants.size(); i++) { specialization_entries[i].constantID = i; - specialization_entries[i].offset = i * sizeof(int); - specialization_entries[i].size = sizeof(int); + specialization_entries[i].offset = i * sizeof(uint32_t); + specialization_entries[i].size = sizeof(uint32_t); } vk::SpecializationInfo specialization_info( specialization_entries.size(), specialization_entries.data(), - specialization_constants.size() * sizeof(int), + specialization_constants.size() * sizeof(uint32_t), specialization_constants.data() ); @@ -593,11 +594,17 @@ static vk_semaphore * ggml_vk_create_timeline_semaphore() { ci.setPNext(&tci); vk::Semaphore semaphore = vk_device.device.createSemaphore(ci); vk_gc.tl_semaphores.push_back({ semaphore, 0 }); - return &vk_gc.tl_semaphores[vk_semaphore_idx++]; } return &vk_gc.tl_semaphores[vk_semaphore_idx++]; } +static vk::Event * ggml_vk_create_event() { + if (vk_event_idx >= vk_gc.events.size()) { + vk_gc.events.push_back(vk_device.device.createEvent({})); + } + return &vk_gc.events[vk_event_idx++]; +} + static void ggml_vk_queue_cleanup(vk_queue& q) { #ifdef VK_DEBUG std::cerr << "ggml_vk_queue_cleanup()" << std::endl; @@ -661,7 +668,7 @@ static vk_buffer ggml_vk_create_buffer(size_t size, vk::MemoryPropertyFlags req_ } static vk_subbuffer ggml_vk_subbuffer(vk_buffer& buf) { - return { buf, 0, (uint64_t) buf.size }; + return { buf, 0, VK_WHOLE_SIZE }; } static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector&& buffers, vk_queue& q, vk::AccessFlags&& src_mask, vk::AccessFlags&& dst_mask, bool force_sync) { @@ -748,32 +755,32 @@ static void ggml_vk_load_shaders() { #endif // mulmat - auto warptile_l = { 128, 128, 128, 16, 64, 64, 2, 4, 4 }; - auto warptile_m = { 128, 64, 64, 16, 32, 32, 2, 4, 2 }; - auto warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; + std::initializer_list warptile_l = { 128, 128, 128, 16, 64, 64, 2, 4, 4 }; + std::initializer_list warptile_m = { 128, 64, 64, 16, 32, 32, 2, 4, 2 }; + std::initializer_list warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; if (vk_device.fp16) { - vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_len, matmul_f32_l_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_len, matmul_f32_m_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_len, matmul_f32_s_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 1); - vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_len, matmul_f32_aligned_l_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_len, matmul_f32_aligned_m_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_len, matmul_f32_aligned_s_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_len, matmul_f16_l_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_len, matmul_f16_m_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_len, matmul_f16_s_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 1); - - vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_len, matmul_f16_aligned_l_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_len, matmul_f16_aligned_m_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_len, matmul_f16_aligned_s_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_len, matmul_f16_f32_l_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_len, matmul_f16_f32_m_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_len, matmul_f16_f32_s_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 1); - vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_len, matmul_f16_f32_aligned_l_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_len, matmul_f16_f32_aligned_m_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_len, matmul_f16_f32_aligned_s_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_len, matmul_f32_l_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_len, matmul_f32_m_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_len, matmul_f32_s_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 1); + vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_len, matmul_f32_aligned_l_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_len, matmul_f32_aligned_m_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_len, matmul_f32_aligned_s_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_len, matmul_f16_l_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_len, matmul_f16_m_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_len, matmul_f16_s_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 1); + + vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_len, matmul_f16_aligned_l_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_len, matmul_f16_aligned_m_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_len, matmul_f16_aligned_s_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_len, matmul_f16_f32_l_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_len, matmul_f16_f32_m_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_len, matmul_f16_f32_s_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 1); + vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_len, matmul_f16_f32_aligned_l_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_len, matmul_f16_f32_aligned_m_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_len, matmul_f16_f32_aligned_s_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 32); // Build dequant shaders vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline("f32_to_f16", f32_to_f16_len, f32_to_f16_data, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); @@ -805,27 +812,27 @@ static void ggml_vk_load_shaders() { vk_pipeline_get_rows_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("get_rows_q5_1_f32", get_rows_q5_1_f32_len, get_rows_q5_1_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); vk_pipeline_get_rows_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0_f32", get_rows_q8_0_f32_len, get_rows_q8_0_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); } else { - vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_fp32_len, matmul_f32_l_fp32_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_fp32_len, matmul_f32_m_fp32_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_fp32_len, matmul_f32_s_fp32_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 1); - vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_fp32_len, matmul_f32_aligned_l_fp32_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_fp32_len, matmul_f32_aligned_m_fp32_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_fp32_len, matmul_f32_aligned_s_fp32_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_fp32_len, matmul_f16_l_fp32_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_fp32_len, matmul_f16_m_fp32_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_fp32_len, matmul_f16_s_fp32_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 1); - - vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_fp32_len, matmul_f16_aligned_l_fp32_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_fp32_len, matmul_f16_aligned_m_fp32_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_fp32_len, matmul_f16_aligned_s_fp32_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_fp32_len, matmul_f16_f32_l_fp32_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_fp32_len, matmul_f16_f32_m_fp32_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_fp32_len, matmul_f16_f32_s_fp32_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 1); - vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_fp32_len, matmul_f16_f32_aligned_l_fp32_data, "main", 3, 8 * sizeof(int), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_fp32_len, matmul_f16_f32_aligned_m_fp32_data, "main", 3, 8 * sizeof(int), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_fp32_len, matmul_f16_f32_aligned_s_fp32_data, "main", 3, 8 * sizeof(int), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_fp32_len, matmul_f32_l_fp32_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_fp32_len, matmul_f32_m_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_fp32_len, matmul_f32_s_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 1); + vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_fp32_len, matmul_f32_aligned_l_fp32_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_fp32_len, matmul_f32_aligned_m_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_fp32_len, matmul_f32_aligned_s_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_fp32_len, matmul_f16_l_fp32_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_fp32_len, matmul_f16_m_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_fp32_len, matmul_f16_s_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 1); + + vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_fp32_len, matmul_f16_aligned_l_fp32_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_fp32_len, matmul_f16_aligned_m_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_fp32_len, matmul_f16_aligned_s_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 32); + + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_fp32_len, matmul_f16_f32_l_fp32_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 1); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_fp32_len, matmul_f16_f32_m_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 1); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_fp32_len, matmul_f16_f32_s_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 1); + vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_fp32_len, matmul_f16_f32_aligned_l_fp32_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 128); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_fp32_len, matmul_f16_f32_aligned_m_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 64); + vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_fp32_len, matmul_f16_f32_aligned_s_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 32); // Build dequant shaders vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline("f32_to_f16", f32_to_f16_fp32_len, f32_to_f16_fp32_data, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); @@ -904,11 +911,6 @@ static void ggml_vk_load_shaders() { vk_pipeline_rope_f16 = ggml_vk_create_pipeline("rope_f16", rope_f16_len, rope_f16_data, "main", 3, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); } -void ggml_vk_test_transfer(size_t ne); -void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); -void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); -void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size); - void ggml_vk_init(void) { #ifdef VK_DEBUG std::cerr << "ggml_vk_init()" << std::endl; @@ -1043,63 +1045,6 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; vk_fence = vk_device.device.createFence({}); -#if defined(VK_CHK_KERNEL) - int step = 16; - for (size_t m = step; m < 64; m += step) { - ggml_vk_test_transfer(1024 * 1024 * m); - } - const std::vector vals { - 100, 46, 576, - 32000, 2, 4096, - 4096, 2, 4096, - 623, 111, 128, - 100, 46, 558, - 512, 1, 256, - 128, 110, 622, - 511, 511, 127, - 511, 511, 7, - 511, 511, 17, - 49, 49, 128, - 128, 49, 49, - 4096, 49, 4096, - 11008, 49, 4096, - 4096, 49, 11008, - 32000, 49, 4096, - 512, 512, 128, - 128, 512, 512, - 4096, 512, 4096, - 11008, 512, 4096, - 4096, 512, 11008, - 32000, 512, 4096, - }; - const size_t num_it = 100; - for (size_t i = 0; i < vals.size(); i += 3) { - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 0); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 0); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 1); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 1); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 2); - ggml_vk_test_matmul_f16(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 2); - std::cerr << std::endl; - - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 0); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 0); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 1); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 1); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 2); - ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 2); - std::cerr << std::endl; - - ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 0); - ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 0); - ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 1); - ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 1); - ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 1, 2); - ggml_vk_test_matmul_f16_f32(vals[i], vals[i + 1], vals[i + 2], num_it, 4, 2); - std::cerr << std::endl; - } -#endif - #ifdef GGML_VULKAN_CHECK_RESULTS const char* skip_checks = getenv("GGML_VULKAN_SKIP_CHECKS"); vk_skip_checks = (skip_checks == NULL ? 0 : atoi(skip_checks)); @@ -1331,6 +1276,14 @@ static size_t ggml_vk_align_size(size_t width, size_t align) { return CEIL_DIV(width, align) * align; } +static void deferred_memcpy(void * dst, const void * src, size_t size, std::vector* pre_staging = nullptr) { + if (pre_staging == nullptr) { + memcpy(dst, src, size); + } else { + pre_staging->emplace_back(dst, src, size); + } +} + static vk_sequence ggml_vk_buffer_write_nc_async(vk_buffer* dst, size_t offset, const ggml_tensor * tensor, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_nc_async(" << tensor << ")" << std::endl; @@ -1363,6 +1316,9 @@ static vk_sequence ggml_vk_buffer_write_nc_async(vk_buffer* dst, size_t offset, } const uint64_t ne0 = tensor->ne[0]; + const uint64_t ne1 = tensor->ne[1]; + const uint64_t ne2 = tensor->ne[2]; + const uint64_t ne3 = tensor->ne[3]; const uint64_t nb0 = tensor->nb[0]; const uint64_t nb1 = tensor->nb[1]; const uint64_t nb2 = tensor->nb[2]; @@ -1371,20 +1327,35 @@ static vk_sequence ggml_vk_buffer_write_nc_async(vk_buffer* dst, size_t offset, const uint64_t ts = ggml_type_size(type); const uint64_t bs = ggml_blck_size(type); - const uint64_t ne = ggml_nelements(tensor); + const uint64_t dstnb0 = ts; + const uint64_t dstnb1 = dstnb0*(ne0/bs); + const uint64_t dstnb2 = dstnb1*ne1; + const uint64_t dstnb3 = dstnb2*ne2; - const uint64_t dpitch = ts/bs; + const uint64_t ne = ggml_nelements(tensor); if (buf != nullptr) { // Memory is pinned, use as staging buffer std::vector slices; - slices.reserve(ne); - for (int64_t i1 = 0; i1 < ggml_nrows(tensor); i1++) { - const size_t s_off = buf_offset + i1*nb1; - const size_t d_off = offset + i1*ts*ne0/bs; - for (size_t i = 0; i < ne0; i++) { - slices.push_back({ s_off + i * nb0, d_off + i * dpitch, dpitch }); + for (int64_t i3 = 0; i3 < ne3; i3++) { + for (int64_t i2 = 0; i2 < ne2; i2++) { + // Find longest contiguous slice + if (ne1*nb1 == dstnb2) { + slices.push_back({ buf_offset + i3*nb3 + i2*nb2, offset + i3*dstnb3 + i2*dstnb2, dstnb2 }); + } else { + for (int64_t i1 = 0; i1 < ne1; i1++) { + if (ne0*nb0/bs == dstnb1) { + slices.push_back({ buf_offset + i3*nb3 + i2*nb2 + i1*nb1, offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1, dstnb1 }); + } else { + const size_t s_off = buf_offset + i3*nb3 + i2*nb2 + i1*nb1; + const size_t d_off = offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1; + for (size_t i0 = 0; i0 < ne0; i0++) { + slices.push_back({ s_off + i1*nb0, d_off + i0*dstnb0, dstnb0 }); + } + } + } + } } } @@ -1405,10 +1376,7 @@ static vk_sequence ggml_vk_buffer_write_nc_async(vk_buffer* dst, size_t offset, *dst->sb_write = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent); } - VkBufferCopy buf_copy{ - 0, - offset, - dpitch * ne}; + VkBufferCopy buf_copy{ 0, offset, ts*ne/bs }; if (reuse_submission) { s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); @@ -1419,14 +1387,23 @@ static vk_sequence ggml_vk_buffer_write_nc_async(vk_buffer* dst, size_t offset, s->buffer.end(); } - for (int64_t i1 = 0; i1 < ggml_nrows(tensor); i1++) { - const size_t s_off = i1*nb1; - const size_t d_off = offset + i1*ts*ne0/bs; - for (size_t i = 0; i < ne0; i++) { - if (pre_staging == nullptr) { - memcpy((uint8_t *)dst->sb_write->ptr + s_off + i * dpitch, (const uint8_t *) tensor->data + d_off + i * nb0, dpitch); + for (int64_t i3 = 0; i3 < ne3; i3++) { + for (int64_t i2 = 0; i2 < ne2; i2++) { + // Find longest contiguous slice + if (ne1*nb1 == dstnb2) { + deferred_memcpy((uint8_t *)dst->sb_write->ptr + offset + i3*dstnb3 + i2*dstnb2, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2, dstnb2, pre_staging); } else { - pre_staging->emplace_back((void *) ((uint8_t *)dst->sb_write->ptr + s_off + i * dpitch), (const void *) ((const uint8_t *) tensor->data + d_off + i * nb0), dpitch); + for (int64_t i1 = 0; i1 < ne1; i1++) { + if (ne0*nb0/bs == dstnb1) { + deferred_memcpy((uint8_t *)dst->sb_write->ptr + offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2 + i1*nb1, dstnb1, pre_staging); + } else { + const size_t s_off = buf_offset + i3*nb3 + i2*nb2 + i1*nb1; + const size_t d_off = offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1; + for (size_t i0 = 0; i0 < ne0; i0++) { + deferred_memcpy((uint8_t *)dst->sb_write->ptr + d_off + i0*dstnb0, (const uint8_t *) tensor->data + s_off + i0*nb0, dstnb0, pre_staging); + } + } + } } } } @@ -1734,7 +1711,7 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer * dst, size_t offset, const g if (nb0 == ts && nb1 == row_length) { return ggml_vk_buffer_write_async(dst, offset, x, i1*nb1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); } - if (nb0 == ts) { + if (nb0 == ts && (i1 == ne1 || !ggml_is_permuted(src))) { return ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, i1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); } @@ -1864,27 +1841,29 @@ static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16_x, bool bit16_y, in return aligned ? &vk_pipeline_matmul_f32_aligned_l : &vk_pipeline_matmul_f32_l; } -static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& split_k_buffer, int m, int n, int k, int stride_a, int stride_b, int stride_d, uint32_t split_k, uint32_t d_offset, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& split_k_buffer, uint32_t m, uint32_t n, uint32_t k, uint32_t stride_a, uint32_t stride_b, uint32_t stride_d, uint32_t split_k, uint32_t d_offset, uint32_t batch, uint32_t ne02, uint32_t ne12, uint32_t broadcast2, uint32_t broadcast3, uint32_t batch_stride_a, uint32_t batch_stride_b, uint32_t batch_stride_d, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_matmul(" << m << ", " << n << ", " << k << ")" << std::endl; + std::cerr << "ggml_vk_matmul(a: (" << a.buffer.buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer.buffer << ", " << b.offset << ", " << b.size << "), c: (" << d.buffer.buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << split_k_buffer.buffer.buffer << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", split_k: " << split_k << ", d_offset: " << d_offset << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ")" << std::endl; #endif vk_submission s = ggml_vk_begin_submission(q); ggml_vk_sync_buffers(s.buffer, { a, b }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); if (split_k == 1) { ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); - const std::array pc = { m, n, k, stride_a, stride_b, stride_d, k, (int)d_offset }; - ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc.size() * sizeof(int), pc.data(), { (uint32_t)m, (uint32_t)n, 1 }); + const std::array pc = { m, n, k, stride_a, stride_b, stride_d, k, d_offset, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d }; + ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc.size() * sizeof(uint32_t), pc.data(), { m, n, batch }); ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); return { s }; } - ggml_vk_sync_buffers(s.buffer, { split_k_buffer }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); + GGML_ASSERT(batch_stride_d == m * n); + + ggml_vk_sync_buffers(s.buffer, { split_k_buffer }, q, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eShaderWrite, false); // Synchronize the two submissions - const std::array pc1 = { m, n, k, stride_a, stride_b, stride_d, (int) CEIL_DIV(k, split_k), 0 }; - ggml_vk_dispatch_pipeline(s, pipeline, { a, b, split_k_buffer }, pc1.size() * sizeof(int), pc1.data(), { (uint32_t)m * split_k, (uint32_t)n, 1 }); + const std::array pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k), 0, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d * split_k }; + ggml_vk_dispatch_pipeline(s, pipeline, { a, b, split_k_buffer }, pc1.size() * sizeof(uint32_t), pc1.data(), { m * split_k, n, batch }); ggml_vk_sync_buffers(s.buffer, { split_k_buffer, d }, q, vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, true); - const std::array pc2 = { (uint32_t)(m * n), split_k, d_offset }; - ggml_vk_dispatch_pipeline(s, vk_pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(uint32_t), pc2.data(), { (uint32_t)(m * n), 1, 1 }); + const std::array pc2 = { (uint32_t)(m * n * batch), split_k, d_offset }; + ggml_vk_dispatch_pipeline(s, vk_pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(uint32_t), pc2.data(), { m * n * batch, 1, 1 }); ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); return { s }; @@ -1950,21 +1929,24 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * GGML_ASSERT(ggml_vk_dim01_contiguous(src0) || src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16); // NOLINT GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16); // NOLINT - const int64_t ne00 = src0->ne[0]; - const int64_t ne01 = src0->ne[1]; - const int64_t ne02 = src0->ne[2]; - const int64_t ne03 = src0->ne[3]; + const uint64_t ne00 = src0->ne[0]; + const uint64_t ne01 = src0->ne[1]; + const uint64_t ne02 = src0->ne[2]; + const uint64_t ne03 = src0->ne[3]; - const int64_t ne10 = src1->ne[0]; - const int64_t ne11 = src1->ne[1]; - const int64_t ne12 = src1->ne[2]; - const int64_t ne13 = src1->ne[3]; + const uint64_t ne10 = src1->ne[0]; + const uint64_t ne11 = src1->ne[1]; + const uint64_t ne12 = src1->ne[2]; + const uint64_t ne13 = src1->ne[3]; - const int nb2 = dst->nb[2]; - const int nb3 = dst->nb[3]; + const uint64_t ne20 = dst->ne[0]; + const uint64_t ne21 = dst->ne[1]; - const int64_t r2 = ne12 / ne02; - const int64_t r3 = ne13 / ne03; + const size_t nb2 = dst->nb[2]; + const size_t nb3 = dst->nb[3]; + + const uint64_t r2 = ne12 / ne02; + const uint64_t r3 = ne13 / ne03; vk_queue& compq = vk_device.compute_queue; vk_queue& trq = vk_device.transfer_queue; @@ -1994,11 +1976,11 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, !f16_f32_kernel, ne01, ne11, aligned); - const uint64_t qx_sz = ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint64_t qy_sz = ggml_vk_align_size(ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint64_t x_sz = ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint64_t y_sz = ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment); - const uint64_t split_k_d_sz = ggml_vk_align_size(sizeof(float) * d_ne * split_k, vk_device.properties.limits.minStorageBufferOffsetAlignment); + const uint64_t qx_sz = ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type); + const uint64_t qy_sz = ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type); + const uint64_t x_sz = sizeof(ggml_fp16_t) * x_ne; + const uint64_t y_sz = f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne; + const uint64_t split_k_d_sz = sizeof(float) * d_ne * split_k; const uint64_t d_sz = sizeof(float) * d_ne; if (dst->backend == GGML_BACKEND_GPU) { @@ -2067,7 +2049,7 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } else { to_fp16_vk_0 = ggml_vk_get_to_fp16(src0->type); } - if (x_non_contig) { + if (y_non_contig) { to_fp16_vk_1 = ggml_vk_get_cpy_pipeline(src1->type, GGML_TYPE_F16); } else { to_fp16_vk_1 = ggml_vk_get_to_fp16(src1->type); @@ -2087,103 +2069,79 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne12 * ne13); } - std::vector x_semaphores; - vk_semaphore y_semaphore; + vk_semaphore x_semaphore; if (x_non_contig) { vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - ggml_vk_cpy_to_contiguous(to_fp16_vk_0, extra, src0, { *d_Qx, qx_buf_offset, VK_WHOLE_SIZE }, { *d_X, 0, VK_WHOLE_SIZE }, dst->type, {}, { { sem->s, sem->value + 1 } }); - x_semaphores.push_back({ sem->s, sem->value + 1 }); + ggml_vk_cpy_to_contiguous(to_fp16_vk_0, extra, src0, { *d_Qx, qx_buf_offset, VK_WHOLE_SIZE }, { *d_X, 0, VK_WHOLE_SIZE }, dst->type, {}, { { sem->s, sem->value + 1 } }, false); + x_semaphore = { sem->s, sem->value + 1 }; sem->value += 1; } else if (load_x || qx_needs_dequant) { - for (int64_t i03 = 0; i03 < ne03; i03++) { - for (int64_t i02 = 0; i02 < ne02; i02++) { - const uint32_t it_idx0 = (i03 * ne02 + i02); - const uint32_t qx_offset = qx_sz * it_idx0; - const uint32_t x_offset = x_sz * it_idx0; - - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - - if (load_x) { - // copy data to device - extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, qx_offset, src0, i03, i02, ne01, trq, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); - } + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - if (qx_needs_dequant) { - vk_submission s = ggml_vk_begin_submission(compq); - const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_buf_offset + qx_offset, qx_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *to_fp16_vk_0, { { *d_Qx, qx_buf_offset + qx_offset, qx_sz }, { *d_X, x_offset, x_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)x_ne, 1, 1}); - if (load_x) { - ggml_vk_end_submission(s, { { sem->s, sem->value + 1 } }, { { sem->s, sem->value + 2 } }); - } else { - ggml_vk_end_submission(s, {}, { { sem->s, sem->value + 2 } }); - } + if (load_x) { + // copy data to device + extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, 0, src0, 0, 0, ggml_nrows(src0), trq, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); + } - extra->comp_seqs.push_back({ s }); + if (qx_needs_dequant) { + vk_submission s = ggml_vk_begin_submission(compq); + const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; + ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(s.buffer, { { *d_X, 0, x_sz * ne02 * ne03 } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_dispatch_pipeline(s, *to_fp16_vk_0, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 }, { *d_X, 0, x_sz * ne02 * ne03 } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)(x_ne * ne02 * ne03), 1, 1}); + if (load_x) { + ggml_vk_end_submission(s, { { sem->s, sem->value + 1 } }, { { sem->s, sem->value + 2 } }); + } else { + ggml_vk_end_submission(s, {}, { { sem->s, sem->value + 2 } }); + } - x_semaphores.push_back({ sem->s, sem->value + 2 }); - } else if (load_x) { - x_semaphores.push_back({ sem->s, sem->value + 1 }); - } + extra->comp_seqs.push_back({ s }); - sem->value += 2; - } + x_semaphore = { sem->s, sem->value + 2 }; + } else if (load_x) { + x_semaphore = { sem->s, sem->value + 1 }; } - } - if (y_non_contig) { - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - ggml_vk_cpy_to_contiguous(to_fp16_vk_1, extra, src1, { *d_Qy, qy_buf_offset, VK_WHOLE_SIZE }, { *d_Y, 0, VK_WHOLE_SIZE }, dst->type, {}, { { sem->s, sem->value + 1 } }); - y_semaphore = { sem->s, sem->value + 1 }; - sem->value += 1; + sem->value += 2; } - for (int64_t i13 = 0; i13 < ne13; i13++) { - const int64_t i03 = i13 / r3; - for (int64_t i12 = 0; i12 < ne12; i12++) { - const int64_t i02 = i12 / r2; - - const uint32_t it_idx0 = (i03 * ne02 + i02); - const uint32_t it_idx1 = (i13 * ne12 + i12); - const uint32_t qy_offset = load_y ? qy_sz * it_idx1 : 0; - const uint32_t x_offset = x_sz * it_idx0; - const uint32_t y_offset = y_sz * it_idx1; - const uint32_t d_offset = d_buf_offset + d_sz * it_idx1; - const uint32_t split_k_d_offset = split_k_d_sz * it_idx1; + vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - const uint32_t d_buffer_offset = (d_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; - const uint32_t d_shader_offset = d_offset - d_buffer_offset; + std::vector mm_semaphores; - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); + if (load_x || qx_needs_dequant) { + mm_semaphores.push_back(x_semaphore); + } + if (y_non_contig) { + ggml_vk_cpy_to_contiguous(to_fp16_vk_1, extra, src1, { *d_Qy, qy_buf_offset, VK_WHOLE_SIZE }, { *d_Y, 0, VK_WHOLE_SIZE }, dst->type, {}, { { sem->s, sem->value + 1 } }, false); + mm_semaphores.push_back({ sem->s, sem->value + 1 }); + } else if (load_y) { + extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, 0, src1, 0, 0, ggml_nrows(src1), trq, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); + mm_semaphores.push_back({ sem->s, sem->value + 1 }); + } - std::vector mm_semaphores; + uint32_t stride_batch_x = ne00*ne01; + uint32_t stride_batch_y = ne10*ne11; - if (x_non_contig) { - mm_semaphores.push_back(x_semaphores[0]); - } else if (load_x || qx_needs_dequant) { - mm_semaphores.push_back(x_semaphores[it_idx0]); - } - if (y_non_contig) { - mm_semaphores.push_back(y_semaphore); - } else if (load_y) { - extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, ne11, trq, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->memcpys)); - mm_semaphores.push_back({ sem->s, sem->value + 1 }); - } + if (!ggml_vk_dim01_contiguous(src0) && !load_x && !qx_needs_dequant) { + stride_batch_x = src0->nb[0] / ggml_type_size(src0->type); + } - // compute - extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buffer_offset, d_sz + d_shader_offset }, { vk_prealloc_split_k, split_k_d_offset, split_k_d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, d_shader_offset / ggml_type_size(dst->type), compq, std::move(mm_semaphores), { { sem->s, sem->value + 2 } })); + if (!ggml_vk_dim01_contiguous(src1) && !load_y && !qy_needs_dequant) { + stride_batch_y = src1->nb[0] / ggml_type_size(src1->type); + } - if (dst->backend == GGML_BACKEND_CPU) { - // copy dst to host - float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, trq, { { sem->s, sem->value + 2 } }, {})); - } + // compute + extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_buf_offset, x_sz * ne02 * ne03 }, { *d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { *d_D, d_buf_offset, d_sz * ne12 * ne13 }, { vk_prealloc_split_k, 0, split_k_d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, 0, ne12*ne13, ne02, ne12, r2, r3, stride_batch_x, stride_batch_y, ne20*ne21, compq, std::move(mm_semaphores), { { sem->s, sem->value + 2 } })); // NOLINT - sem->value += 2; - } + if (dst->backend == GGML_BACKEND_CPU) { + // copy dst to host + float * d = (float *) ((char *) dst->data); + extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, d, sizeof(float) * d_ne * ne12 * ne13, trq, { { sem->s, sem->value + 2 } }, {})); } + + sem->value += 2; } static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { @@ -3109,73 +3067,488 @@ static void ggml_vk_nop(const ggml_tensor * src0, ggml_tensor * dst) { } } -static void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor, bool buffer_static) { +#ifdef VK_RUN_TESTS +void ggml_vk_print_matrix_area(const void * data, ggml_type type, int ne0, int ne1, int i0, int i1, int i2) { + if (type != GGML_TYPE_F32 && type != GGML_TYPE_F16) { + return; + } + fprintf(stderr, " "); + for (int idx1 = i1 - 5; idx1 < i1 + 5; idx1++) { + fprintf(stderr, "%7d ", idx1); + } + fprintf(stderr, "\n"); + for (int idx0 = i0 - 5; idx0 < i0 + 5; idx0++) { + fprintf(stderr, "%7d: ", idx0); + for (int idx1 = i1 - 5; idx1 < i1 + 5; idx1++) { + if (idx0 >= 0 && idx0 < ne0 && idx1 >= 0 && idx1 < ne1) { + float val; + if (type == GGML_TYPE_F32) { + val = *((float *) data + i2*ne1*ne0 + idx1*ne0 + idx0); + } else if (type == GGML_TYPE_F16) { + val = ggml_fp16_to_fp32(*((ggml_fp16_t *) data + i2*ne1*ne0 + idx1*ne0 + idx0)); + } + fprintf(stderr, "% 7.2f ", val); + } else { + fprintf(stderr, " "); + } + } + fprintf(stderr, "\n"); + } +} + +template +void ggml_vk_test_matmul(size_t m, size_t n, size_t k, size_t batch, size_t num_it, int split_k, int shader_size) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_transform_tensor(" << data << ", " << tensor << " (" << tensor->name << "))" << std::endl; + std::cerr << "ggml_vk_test_matmul(" << m << ", " << n << ", " << k << ", " << batch << ", " << num_it << ", " << split_k << ", " << shader_size << ")" << std::endl; #endif - GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); - GGML_ASSERT(ggml_is_contiguous(tensor)); + const size_t x_ne = m * k * batch; + const size_t y_ne = k * n * batch; + const size_t d_ne = m * n * batch; - ggml_vk_tensor_extra_gpu * extra; - GGML_ASSERT(tensor->extra == nullptr); - extra = new ggml_vk_tensor_extra_gpu; - memset((void *) extra, 0, sizeof(ggml_vk_tensor_extra_gpu)); - tensor->extra = extra; + std::vector seq; - const size_t size = ggml_nbytes(tensor); + vk_pipeline * p; + std::string shname; + if (shader_size == 0) { + if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f32_aligned_s; + shname = "F32_ALIGNED_S"; + } else if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f16_f32_aligned_s; + shname = "F16_F32_ALIGNED_S"; + } else if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f16_aligned_s; + shname = "F16_ALIGNED_S"; + } else { + GGML_ASSERT(false); + } + } else if (shader_size == 1) { + if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f32_aligned_m; + shname = "F32_ALIGNED_M"; + } else if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f16_f32_aligned_m; + shname = "F16_F32_ALIGNED_M"; + } else if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f16_aligned_m; + shname = "F16_ALIGNED_M"; + } else { + GGML_ASSERT(false); + } + } else if (shader_size == 2) { + if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f32_aligned_l; + shname = "F32_ALIGNED_L"; + } else if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f16_f32_aligned_l; + shname = "F16_F32_ALIGNED_L"; + } else if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f16_aligned_l; + shname = "F16_ALIGNED_L"; + } else { + GGML_ASSERT(false); + } + } else { + GGML_ASSERT(0); + } - extra->buffer_gpu = new vk_buffer; - *extra->buffer_gpu = ggml_vk_pool_malloc(size, vk::MemoryPropertyFlagBits::eDeviceLocal); - ggml_vk_buffer_write(extra->buffer_gpu, 0, data, size, vk_device.transfer_queue); + const size_t kpad = ggml_vk_align_size(k, p->align); - extra->buffer_static = buffer_static; + if (k != kpad) { + if (shader_size == 0) { + if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f32_s; + shname = "F32_S"; + } else if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f16_f32_s; + shname = "F16_F32_S"; + } else if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f16_s; + shname = "F16_S"; + } + } else if (shader_size == 1) { + if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f32_m; + shname = "F32_M"; + } else if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f16_f32_m; + shname = "F16_F32_M"; + } else if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f16_m; + shname = "F16_M"; + } + } else if (shader_size == 2) { + if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f32_l; + shname = "F32_L"; + } else if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f16_f32_l; + shname = "F16_F32_L"; + } else if (std::is_same() && std::is_same()) { + p = &vk_pipeline_matmul_f16_l; + shname = "F16_L"; + } + } + } - if (!buffer_static) { - vk_gc.temp_buffers.push_back(*extra->buffer_gpu); + ggml_vk_pipeline_allocate_descriptor_sets(*p, num_it); + if (split_k > 1) { + ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); + + if (vk_prealloc_split_k.size < sizeof(float) * d_ne) { + // Resize buffer + if (vk_prealloc_split_k.size > 0) { + ggml_vk_destroy_buffer(vk_prealloc_split_k); + } + vk_prealloc_split_k = ggml_vk_create_buffer(sizeof(float) * d_ne * split_k, vk::MemoryPropertyFlagBits::eDeviceLocal); + } } -} -void ggml_vk_transform_tensor_temporary(void * data, ggml_tensor * tensor) { - ggml_vk_transform_tensor(data, tensor, false); -} -void ggml_vk_transform_tensor_static(void * data, ggml_tensor * tensor) { - ggml_vk_transform_tensor(data, tensor, true); -} + vk_buffer d_X = ggml_vk_create_buffer(sizeof(X_TYPE) * x_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_buffer d_Y = ggml_vk_create_buffer(sizeof(Y_TYPE) * y_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_buffer d_D = ggml_vk_create_buffer(sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); -void ggml_vk_assign_buffer(ggml_tensor * tensor) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_assign_buffer(" << tensor << " (" << tensor->name << "))" << std::endl; -#endif - tensor->backend = GGML_BACKEND_GPU; + X_TYPE* x = (X_TYPE *) malloc(sizeof(X_TYPE) * x_ne); + Y_TYPE* y = (Y_TYPE *) malloc(sizeof(Y_TYPE) * y_ne); + float* d = (float *) malloc(sizeof(float) * d_ne); - GGML_ASSERT(tensor->extra == nullptr); + for (size_t i = 0; i < x_ne; i++) { + if (std::is_same()) { + x[i] = 1.0f; // (rand() / (float)RAND_MAX) * 2.0f - 1.0f; + } else if (std::is_same()) { + x[i] = ggml_fp32_to_fp16(1.0f); // ggml_fp32_to_fp16((rand() / (float)RAND_MAX) * 2.0f - 1.0f); + } else { + GGML_ASSERT(false); + } + } + for (size_t i = 0; i < y_ne; i++) { + if (std::is_same()) { + y[i] = 1.0f; // (rand() / (float)RAND_MAX) * 2.0f - 1.0f; + } else if (std::is_same()) { + y[i] = ggml_fp32_to_fp16(1.0f); // ggml_fp32_to_fp16((rand() / (float)RAND_MAY) * 2.0f - 1.0f); + } else { + GGML_ASSERT(false); + } + } - ggml_vk_tensor_extra_gpu * extra = new ggml_vk_tensor_extra_gpu; - memset((void *) extra, 0, sizeof(ggml_vk_tensor_extra_gpu)); - tensor->extra = extra; + seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(X_TYPE) * k, sizeof(X_TYPE) * k, m * batch, vk_device.transfer_queue, {}, {})); + seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(Y_TYPE) * k, sizeof(Y_TYPE) * k, n * batch, vk_device.transfer_queue, {}, {})); - extra->buffer_gpu = new vk_buffer; - *extra->buffer_gpu = ggml_vk_create_buffer(ggml_nbytes(tensor), vk::MemoryPropertyFlagBits::eDeviceLocal); - ggml_vk_buffer_memset(extra->buffer_gpu, 0, 0, VK_WHOLE_SIZE, vk_device.transfer_queue); - extra->buffer_static = true; -} + ggml_vk_submit(vk_device.transfer_queue, seq, VK_NULL_HANDLE); -static void ggml_vk_tensor_create_extra(ggml_tensor * tensor) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_create_extra(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))" << std::endl; -#endif - ggml_vk_tensor_extra_gpu * extra = new ggml_vk_tensor_extra_gpu; - memset((void *) extra, 0, sizeof(ggml_vk_tensor_extra_gpu)); - tensor->extra = extra; -} + // Wait for transfers to finish + vk_device.transfer_queue.queue.waitIdle(); -void ggml_vk_prepare_tensor(ggml_tensor * tensor) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_prepare_tensor(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))" << std::endl; -#endif - tensor->backend = GGML_BACKEND_GPU; + auto begin = std::chrono::high_resolution_clock::now(); - // recursively prepare buffers until a compute tensor is found + for (size_t i = 0; i < num_it; i++) { + seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), ggml_vk_subbuffer(vk_prealloc_split_k), m, n, k, k, k, m, split_k, 0, batch, batch, batch, 1, 1, k*m, k*n, m*n, vk_device.compute_queue, {}, {})); + } + + ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); + + vk_device.compute_queue.queue.waitIdle(); + + auto end = std::chrono::high_resolution_clock::now(); + + // copy dst to host + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queue); + + float * d_chk = (float *) malloc(sizeof(float) * d_ne); + + ggml_init_params iparams = { + .mem_size = 1024*1024*1024, + .mem_buffer = NULL, + .no_alloc = true, + }; + + ggml_context * ctx = ggml_init(iparams); + + ggml_type src0_type; + ggml_type src1_type; + + if (std::is_same()) { + src0_type = GGML_TYPE_F32; + } else if (std::is_same()) { + src0_type = GGML_TYPE_F16; + } else { + GGML_ASSERT(false); + } + if (std::is_same()) { + src1_type = GGML_TYPE_F32; + } else if (std::is_same()) { + src1_type = GGML_TYPE_F16; + } else { + GGML_ASSERT(false); + } + + ggml_tensor * src0_ggml = ggml_new_tensor_3d(ctx, src0_type, k, m, batch); + ggml_tensor * src1_ggml = ggml_new_tensor_3d(ctx, src1_type, k, n, batch); + ggml_tensor * tensor_ggml = ggml_mul_mat(ctx, src0_ggml, src1_ggml); + + src0_ggml->data = x; + src1_ggml->data = y; + tensor_ggml->data = d_chk; + + ggml_cgraph * cgraph = ggml_new_graph(ctx); + ggml_build_forward_expand(cgraph, tensor_ggml); + + ggml_graph_compute_with_ctx(ctx, cgraph, 1); + + ggml_free(ctx); + + double avg_err = 0.0; + int first_err_n = -1; + int first_err_m = -1; + int first_err_b = -1; + + for (size_t i = 0; i < m*n*batch; i++) { + double err = std::fabs(d[i] - d_chk[i]); + avg_err += err; + + if (err > 0.05f && first_err_n == -1) { + first_err_b = i / (m * n); + first_err_m = (i % (m * n)) / n; + first_err_n = (i % (m * n)) % n; + } + } + + avg_err /= m * n; + + std::cerr << "TEST " << shname << " m=" << m << " n=" << n << " k=" << k << " batch=" << batch << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err << std::endl; + + if (avg_err > 0.1) { + std::cerr << "n = " << first_err_n << " m = " << first_err_m << " b = " << first_err_b << std::endl; + std::cerr << "Actual result: " << std::endl << std::endl; + ggml_vk_print_matrix_area(d, GGML_TYPE_F32, n, m, first_err_n, first_err_m, first_err_b); + std::cerr << "Expected result: " << std::endl << std::endl; + ggml_vk_print_matrix_area(d_chk, GGML_TYPE_F32, n, m, first_err_n, first_err_m, first_err_b); + + if (split_k > 1) { + float * split_k_buf = (float *) malloc(sizeof(float) * d_ne * split_k); + ggml_vk_buffer_read(&vk_prealloc_split_k, 0, split_k_buf, sizeof(float) * d_ne * split_k, vk_device.transfer_queue); + + std::cerr << "d_buf0: " << std::endl << std::endl; + ggml_vk_print_matrix_area(split_k_buf, GGML_TYPE_F32, n, m, first_err_n, first_err_m, first_err_b); + + std::cerr << "d_buf1: " << std::endl << std::endl; + ggml_vk_print_matrix_area(split_k_buf + m * n, GGML_TYPE_F32, n, m, first_err_n, first_err_m, first_err_b); + + std::cerr << "d_buf2: " << std::endl << std::endl; + ggml_vk_print_matrix_area(split_k_buf + 2 * m * n, GGML_TYPE_F32, n, m, first_err_n, first_err_m, first_err_b); + + std::cerr << "d_buf3: " << std::endl << std::endl; + ggml_vk_print_matrix_area(split_k_buf + 3 * m * n, GGML_TYPE_F32, n, m, first_err_n, first_err_m, first_err_b); + + free(split_k_buf); + } + } + + free(d_chk); + + ggml_vk_queue_cleanup(vk_device.transfer_queue); + ggml_vk_queue_cleanup(vk_device.compute_queue); + + ggml_vk_destroy_buffer(d_X); + ggml_vk_destroy_buffer(d_Y); + ggml_vk_destroy_buffer(d_D); + + ggml_vk_pipeline_cleanup(*p); + ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); + + free(x); + free(y); + free(d); +} + +void ggml_vk_print_tensor_area(const ggml_tensor * tensor, int i0, int i1, int i2, int i3) { + if (tensor->type != GGML_TYPE_F32 && tensor->type != GGML_TYPE_F16) { + return; + } + fprintf(stderr, " "); + for (int idx1 = i1 - 5; idx1 < i1 + 5; idx1++) { + fprintf(stderr, "%7d ", idx1); + } + fprintf(stderr, "\n"); + for (int idx0 = i0 - 5; idx0 < i0 + 5; idx0++) { + fprintf(stderr, "%7d: ", idx0); + for (int idx1 = i1 - 5; idx1 < i1 + 5; idx1++) { + if (idx0 >= 0 && idx0 < tensor->ne[0] && idx1 >= 0 && idx1 < tensor->ne[1] && i2 >= 0 && i2 < tensor->ne[2] && i3 >= 0 && i3 < tensor->ne[3]) { + float val; + if (tensor->type == GGML_TYPE_F32) { + val = *(float *) ((char *) tensor->data + i3*tensor->nb[3] + i2*tensor->nb[2] + idx1*tensor->nb[1] + idx0*tensor->nb[0]); + } else if (tensor->type == GGML_TYPE_F16) { + val = ggml_fp16_to_fp32(*(ggml_fp16_t *) ((char *) tensor->data + i3*tensor->nb[3] + i2*tensor->nb[2] + idx1*tensor->nb[1] + idx0*tensor->nb[0])); + } + fprintf(stderr, "% 7.2f ", val); + } else { + fprintf(stderr, " "); + } + } + fprintf(stderr, "\n"); + } +} + +void ggml_vk_test_h2d_nc(size_t ne0, size_t ne1, size_t ne2, size_t ne3) { + const size_t ne = ne0 * ne1 * ne2 * ne3; + + ggml_init_params iparams = { + .mem_size = 1024*1024*1024, + .mem_buffer = NULL, + .no_alloc = true, + }; + + ggml_context * ctx = ggml_init(iparams); + + ggml_tensor * tensor = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, ne0, ne2, ne1, ne3); + ggml_tensor * result_tensor = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, ne0, ne1, ne2, ne3); + + float * data = (float *) ggml_vk_host_malloc(ggml_nbytes(tensor)); + tensor->data = data; + + float * result_data = (float *) malloc(ggml_nbytes(tensor)); + result_tensor->data = result_data; + + // Permute + { + size_t tmp = tensor->nb[2]; + tensor->nb[2] = tensor->nb[1]; + tensor->nb[1] = tmp; + + tensor->ne[2] = ne2; + tensor->ne[1] = ne1; + } + + for (size_t i = 0; i < ne; i++) { + data[i] = (rand() / (float)RAND_MAX) * 2.0f - 1.0f; + } + + vk_buffer buffer = ggml_vk_create_buffer(ggml_nbytes(tensor), vk::MemoryPropertyFlagBits::eDeviceLocal); + + std::vector seqs; + seqs.push_back(ggml_vk_h2d_tensor_2d(&buffer, 0, tensor, 0, 0, ggml_nrows(tensor), vk_device.transfer_queue, {}, {}, nullptr, nullptr)); + + ggml_vk_submit(vk_device.transfer_queue, seqs, VK_NULL_HANDLE); + + vk_device.transfer_queue.queue.waitIdle(); + + ggml_vk_buffer_read(&buffer, 0, result_data, ggml_nbytes(tensor), vk_device.transfer_queue); + + double avg_err = 0.0; + int first_err_i0 = -1; + int first_err_i1 = -1; + int first_err_i2 = -1; + int first_err_i3 = -1; + + for (size_t i3 = 0; i3 < ne3; i3++) { + for (size_t i2 = 0; i2 < ne2; i2++) { + for (size_t i1 = 0; i1 < ne1; i1++) { + for (size_t i0 = 0; i0 < ne0; i0++) { + float correct = *(float *) ((char *) data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]); + float result = *(float *) ((char *) result_data + i3*ne2*ne1*ne0*sizeof(float) + i2*ne1*ne0*sizeof(float) + i1*ne0*sizeof(float) + i0*sizeof(float)); + double err = std::fabs(result - correct); + + avg_err += err; + + if (err > 0.05f && first_err_i0 == -1) { + first_err_i0 = i0; + first_err_i1 = i1; + first_err_i2 = i2; + first_err_i3 = i3; + } + } + } + } + } + + avg_err /= ne; + + std::cerr << "TEST nc copy ne0=" << ne0 << " ne1=" << ne1 << " ne2=" << ne2 << " ne3=" << ne3 << " avg_err=" << avg_err << std::endl; + + if (avg_err > 0.1) { + std::cerr << "i0 = " << first_err_i0 << " i1 = " << first_err_i1 << " i2 = " << first_err_i2 << " i3 = " << first_err_i3 << std::endl; + std::cerr << "Actual result: " << std::endl << std::endl; + ggml_vk_print_tensor_area(result_tensor, first_err_i0, first_err_i1, first_err_i2, first_err_i3); + std::cerr << "Expected result: " << std::endl << std::endl; + ggml_vk_print_tensor_area(tensor, first_err_i0, first_err_i1, first_err_i2, first_err_i3); + } + + ggml_free(ctx); + + ggml_vk_destroy_buffer(buffer); + + ggml_vk_host_free(data); + free(result_data); +} +#endif + +static void ggml_vk_transform_tensor(void * data, ggml_tensor * tensor, bool buffer_static) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_transform_tensor(" << data << ", " << tensor << " (" << tensor->name << "))" << std::endl; +#endif + GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); + GGML_ASSERT(ggml_is_contiguous(tensor)); + + ggml_vk_tensor_extra_gpu * extra; + GGML_ASSERT(tensor->extra == nullptr); + extra = new ggml_vk_tensor_extra_gpu; + memset((void *) extra, 0, sizeof(ggml_vk_tensor_extra_gpu)); + tensor->extra = extra; + + const size_t size = ggml_nbytes(tensor); + + extra->buffer_gpu = new vk_buffer; + *extra->buffer_gpu = ggml_vk_pool_malloc(size, vk::MemoryPropertyFlagBits::eDeviceLocal); + ggml_vk_buffer_write(extra->buffer_gpu, 0, data, size, vk_device.transfer_queue); + + extra->buffer_static = buffer_static; + + if (!buffer_static) { + vk_gc.temp_buffers.push_back(*extra->buffer_gpu); + } +} + +void ggml_vk_transform_tensor_temporary(void * data, ggml_tensor * tensor) { + ggml_vk_transform_tensor(data, tensor, false); +} +void ggml_vk_transform_tensor_static(void * data, ggml_tensor * tensor) { + ggml_vk_transform_tensor(data, tensor, true); +} + +void ggml_vk_assign_buffer(ggml_tensor * tensor) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_assign_buffer(" << tensor << " (" << tensor->name << "))" << std::endl; +#endif + tensor->backend = GGML_BACKEND_GPU; + + GGML_ASSERT(tensor->extra == nullptr); + + ggml_vk_tensor_extra_gpu * extra = new ggml_vk_tensor_extra_gpu; + memset((void *) extra, 0, sizeof(ggml_vk_tensor_extra_gpu)); + tensor->extra = extra; + + extra->buffer_gpu = new vk_buffer; + *extra->buffer_gpu = ggml_vk_create_buffer(ggml_nbytes(tensor), vk::MemoryPropertyFlagBits::eDeviceLocal); + ggml_vk_buffer_memset(extra->buffer_gpu, 0, 0, VK_WHOLE_SIZE, vk_device.transfer_queue); + extra->buffer_static = true; +} + +static void ggml_vk_tensor_create_extra(ggml_tensor * tensor) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_create_extra(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))" << std::endl; +#endif + ggml_vk_tensor_extra_gpu * extra = new ggml_vk_tensor_extra_gpu; + memset((void *) extra, 0, sizeof(ggml_vk_tensor_extra_gpu)); + tensor->extra = extra; +} + +void ggml_vk_prepare_tensor(ggml_tensor * tensor) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_prepare_tensor(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))" << std::endl; +#endif + tensor->backend = GGML_BACKEND_GPU; + + // recursively prepare buffers until a compute tensor is found if (tensor->src[0] != nullptr && tensor->src[0]->backend == GGML_BACKEND_CPU) { const ggml_op src0_op = tensor->src[0]->op; if (src0_op == GGML_OP_RESHAPE || src0_op == GGML_OP_TRANSPOSE || src0_op == GGML_OP_VIEW || src0_op == GGML_OP_PERMUTE) { @@ -3497,6 +3870,45 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ } void ggml_vk_preallocate_buffers() { +#if defined(VK_RUN_TESTS) + ggml_vk_test_h2d_nc(100, 512, 32, 1); + + const std::vector vals { + 100, 46, 576, + 623, 111, 128, + 100, 46, 558, + 512, 1, 256, + 128, 110, 622, + 511, 511, 127, + 511, 511, 7, + 511, 511, 17, + 49, 49, 128, + 128, 49, 49, + 4096, 49, 4096, + 11008, 49, 4096, + 4096, 49, 11008, + 32000, 49, 4096, + 512, 512, 128, + 128, 512, 512, + 4096, 512, 4096, + 11008, 512, 4096, + 4096, 512, 11008, + 32000, 512, 4096, + }; + const size_t num_it = 100; + for (size_t i = 0; i < vals.size(); i += 3) { + ggml_vk_test_matmul(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 1, 0); + // ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 0); + ggml_vk_test_matmul(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 1, 1); + // ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 1); + ggml_vk_test_matmul(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 1, 2); + // ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 2); + std::cerr << std::endl; + } + + GGML_ASSERT(false); +#endif + for (size_t i = 0; i < vk_prealloc_d_sizes.size(); i++) { if (vk_prealloc_d_buffers[i].size < vk_prealloc_d_sizes[i]) { // Resize buffer @@ -3555,7 +3967,6 @@ void ggml_vk_build_graph(ggml_tensor * node, ggml_cgraph * graph){ #ifdef VK_DEBUG std::cerr << "ggml_vk_build_graph(" << node << ")" << std::endl; #endif - vk_semaphore_idx = 0; const ggml_tensor * src0 = node->src[0]; @@ -3784,6 +4195,12 @@ void ggml_vk_graph_cleanup() { vk_device.device.destroySemaphore({ vk_gc.tl_semaphores[i].s }); } vk_gc.tl_semaphores.clear(); + + vk_event_idx = 0; + + for (auto& event : vk_gc.events) { + vk_device.device.resetEvent(event); + } } void ggml_vk_cleanup() { @@ -3943,7 +4360,6 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) .mem_buffer = NULL, }; - // memory allocation happens here struct ggml_context * ctx = ggml_init(iparams); struct ggml_tensor * src0_clone = nullptr; @@ -4136,7 +4552,7 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) ggml_cgraph * cgraph = ggml_new_graph(ctx); ggml_build_forward_expand(cgraph, tensor_clone); - ggml_graph_compute_with_ctx(ctx, cgraph, 1); + ggml_graph_compute_with_ctx(ctx, cgraph, 8); ggml_vk_check_tensor(ggml_op_name(tensor->op), tensor_clone); if (vk_output_tensor > 0 && vk_output_tensor == check_counter) { @@ -4314,508 +4730,3 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) } } #endif - -#ifdef VK_CHK_KERNEL -void ggml_vk_test_transfer(size_t ne) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_test_transfer(" << ne << ")" << std::endl; -#endif - // Check transfers are correct - vk_buffer buffer = ggml_vk_create_buffer(sizeof(float) * ne, vk::MemoryPropertyFlagBits::eDeviceLocal); - - float* x = (float *) malloc(sizeof(float) * ne); - float* y = (float *) malloc(sizeof(float) * ne); - - for (size_t i = 0; i < ne; i++) { - x[i] = rand() / (float)RAND_MAX; - } - - auto begin = std::chrono::high_resolution_clock::now(); - - ggml_vk_buffer_write(&buffer, 0, x, sizeof(float) * ne, vk_device.transfer_queue); - - vk_device.transfer_queue.queue.waitIdle(); - - auto end = std::chrono::high_resolution_clock::now(); - - double ms_to_gpu = std::chrono::duration_cast(end-begin).count() / 1000.0; - - begin = std::chrono::high_resolution_clock::now(); - - ggml_vk_buffer_read(&buffer, 0, y, sizeof(float) * ne, vk_device.transfer_queue); - - end = std::chrono::high_resolution_clock::now(); - - double ms_from_gpu = std::chrono::duration_cast(end-begin).count() / 1000.0; - - double avg_err = 0.0; - for (size_t i = 0; i < ne; i++) { - avg_err += std::fabs(x[i] - y[i]); - } - - double kb = ne * sizeof(float) / 1024.0; - - std::cerr << "TEST TRANSFER " << kb << " KB to_gpu " << ms_to_gpu << "ms (" << kb / ms_to_gpu * 1000.0 / 1024.0 << " MB/s) from_gpu " << ms_from_gpu << "ms (" << kb / ms_from_gpu * 1000.0 / 1024.0 << " MB/s) avg_err=" << avg_err / ne << std::endl; - - ggml_vk_destroy_buffer(buffer); - - free(x); - free(y); -} - -void ggml_vk_print_matrix_area(const void * data, ggml_type type, int ne0, int ne1, int i0, int i1) { - if (type != GGML_TYPE_F32 && type != GGML_TYPE_F16) { - return; - } - fprintf(stderr, " "); - for (int idx1 = i1 - 5; idx1 < i1 + 5; idx1++) { - fprintf(stderr, "%7d ", idx1); - } - fprintf(stderr, "\n"); - for (int idx0 = i0 - 5; idx0 < i0 + 5; idx0++) { - fprintf(stderr, "%7d: ", idx0); - for (int idx1 = i1 - 5; idx1 < i1 + 5; idx1++) { - if (idx0 >= 0 && idx0 < ne0 && idx1 >= 0 && idx1 < ne1) { - float val; - if (type == GGML_TYPE_F32) { - val = *((float *) data + idx1*ne0 + idx0); - } else if (type == GGML_TYPE_F16) { - val = ggml_fp16_to_fp32(*((ggml_fp16_t *) data + idx1*ne0 + idx0)); - } - fprintf(stderr, "% 7.2f ", val); - } else { - fprintf(stderr, " "); - } - } - fprintf(stderr, "\n"); - } -} - -void ggml_vk_test_matmul_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_test_matmul_f32(" << m << ", " << n << ", " << k << ", " << num_it << ", " << split_k << ", " << shader_size << ")" << std::endl; -#endif - const size_t x_ne = m * k; - const size_t y_ne = k * n; - const size_t d_ne = m * n; - - std::vector seq; - - vk_pipeline * p; - std::string shname; - if (shader_size == 0) { - p = &vk_pipeline_matmul_f32_aligned_s; - shname = "F32_ALIGNED_S"; - } else if (shader_size == 1) { - p = &vk_pipeline_matmul_f32_aligned_m; - shname = "F32_ALIGNED_M"; - } else if (shader_size == 2) { - p = &vk_pipeline_matmul_f32_aligned_l; - shname = "F32_ALIGNED_L"; - } else { - GGML_ASSERT(0); - } - - const size_t kpad = ggml_vk_align_size(k, p->align); - - if (k != kpad) { - if (shader_size == 0) { - p = &vk_pipeline_matmul_f32_s; - shname = "F32_S"; - } else if (shader_size == 1) { - p = &vk_pipeline_matmul_f32_m; - shname = "F32_M"; - } else if (shader_size == 2) { - p = &vk_pipeline_matmul_f32_l; - shname = "F32_L"; - } - } - - ggml_vk_pipeline_allocate_descriptor_sets(*p, num_it); - if (split_k > 1) { - ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); - - if (vk_prealloc_split_k.size < sizeof(float) * d_ne) { - // Resize buffer - if (vk_prealloc_split_k.size > 0) { - ggml_vk_destroy_buffer(vk_prealloc_split_k); - } - vk_prealloc_split_k = ggml_vk_create_buffer(sizeof(float) * d_ne * split_k, vk::MemoryPropertyFlagBits::eDeviceLocal); - } - } - - vk_buffer d_X = ggml_vk_create_buffer(sizeof(float) * k * m, vk::MemoryPropertyFlagBits::eDeviceLocal); - vk_buffer d_Y = ggml_vk_create_buffer(sizeof(float) * k * n, vk::MemoryPropertyFlagBits::eDeviceLocal); - vk_buffer d_D = ggml_vk_create_buffer(sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); - - float* x = (float *) malloc(sizeof(float) * x_ne); - float* y = (float *) malloc(sizeof(float) * y_ne); - float* d = (float *) malloc(sizeof(float) * d_ne); - - for (size_t i = 0; i < x_ne; i++) { - x[i] = 1.0f; // (rand() / (float)RAND_MAX) * 2.0f - 1.0f; - } - for (size_t i = 0; i < y_ne; i++) { - y[i] = 1.0f; // (rand() / (float)RAND_MAX) * 2.0f - 1.0f; - } - - seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(float) * k, sizeof(float) * k, m, vk_device.transfer_queue, {}, {})); - seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(float) * k, sizeof(float) * k, n, vk_device.transfer_queue, {}, {})); - - ggml_vk_submit(vk_device.transfer_queue, seq, VK_NULL_HANDLE); - - // Wait for transfers to finish - vk_device.transfer_queue.queue.waitIdle(); - - auto begin = std::chrono::high_resolution_clock::now(); - - for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), ggml_vk_subbuffer(vk_prealloc_split_k), m, n, k, k, k, m, split_k, 0, vk_device.compute_queue, {}, {})); - } - - ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); - - vk_device.compute_queue.queue.waitIdle(); - - auto end = std::chrono::high_resolution_clock::now(); - - // copy dst to host - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queue); - - float * d_chk = (float *) malloc(sizeof(float) * d_ne); - - cblas_sgemm(CblasColMajor, CblasTrans, CblasNoTrans, - m, n, k, - 1.0f, x, k, - y, k, - 0.0f, d_chk, m); - - double avg_err = 0.0; - - for (size_t r = 0; r < m; r++) { - for (size_t c = 0; c < n; c++) { - avg_err += std::fabs(d[c * m + r] - d_chk[c * m + r]); - } - } - - avg_err /= m * n; - - std::cerr << "TEST " << shname << " m=" << m << " n=" << n << " k=" << k << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err << std::endl; - - if (avg_err > 0.1) { - std::cerr << "x: " << std::endl << std::endl; - ggml_vk_print_matrix_area(x, GGML_TYPE_F32, k, m, 5, 5); - std::cerr << "y: " << std::endl << std::endl; - ggml_vk_print_matrix_area(y, GGML_TYPE_F32, k, n, 5, 5); - std::cerr << "Actual result: " << std::endl << std::endl; - ggml_vk_print_matrix_area(d, GGML_TYPE_F32, n, m, 5, 5); - std::cerr << "Expected result: " << std::endl << std::endl; - ggml_vk_print_matrix_area(d_chk, GGML_TYPE_F32, n, m, 5, 5); - - if (split_k > 1) { - float * split_k_buf = (float *) malloc(sizeof(float) * d_ne * split_k); - ggml_vk_buffer_read(&vk_prealloc_split_k, 0, split_k_buf, sizeof(float) * d_ne * split_k, vk_device.transfer_queue); - - std::cerr << "d_buf0: " << std::endl << std::endl; - ggml_vk_print_matrix_area(split_k_buf, GGML_TYPE_F32, n, m, 5, 5); - - std::cerr << "d_buf1: " << std::endl << std::endl; - ggml_vk_print_matrix_area(split_k_buf + m * n, GGML_TYPE_F32, n, m, 5, 5); - - std::cerr << "d_buf2: " << std::endl << std::endl; - ggml_vk_print_matrix_area(split_k_buf + 2 * m * n, GGML_TYPE_F32, n, m, 5, 5); - - std::cerr << "d_buf3: " << std::endl << std::endl; - ggml_vk_print_matrix_area(split_k_buf + 3 * m * n, GGML_TYPE_F32, n, m, 5, 5); - - free(split_k_buf); - } - } - - free(d_chk); - - ggml_vk_queue_cleanup(vk_device.transfer_queue); - ggml_vk_queue_cleanup(vk_device.compute_queue); - - ggml_vk_destroy_buffer(d_X); - ggml_vk_destroy_buffer(d_Y); - ggml_vk_destroy_buffer(d_D); - - ggml_vk_pipeline_cleanup(*p); - ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); - - free(x); - free(y); - free(d); -} - -void ggml_vk_test_matmul_f16(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_test_matmul_f16(" << m << ", " << n << ", " << k << ", " << num_it << ", " << split_k << ", " << shader_size << ")" << std::endl; -#endif - if (!vk_device.fp16) { - return; - } - const size_t x_ne = m * k; - const size_t y_ne = k * n; - const size_t d_ne = m * n; - - std::vector seq; - - vk_pipeline * p; - std::string shname; - if (shader_size == 0) { - p = &vk_pipeline_matmul_f16_aligned_s; - shname = "F16_ALIGNED_S"; - } else if (shader_size == 1) { - p = &vk_pipeline_matmul_f16_aligned_m; - shname = "F16_ALIGNED_M"; - } else if (shader_size == 2) { - p = &vk_pipeline_matmul_f16_aligned_l; - shname = "F16_ALIGNED_L"; - } else { - GGML_ASSERT(0); - } - - const size_t kpad = ggml_vk_align_size(k, p->align); - - if (k != kpad) { - if (shader_size == 0) { - p = &vk_pipeline_matmul_f16_s; - shname = "F16_S"; - } else if (shader_size == 1) { - p = &vk_pipeline_matmul_f16_m; - shname = "F16_M"; - } else if (shader_size == 2) { - p = &vk_pipeline_matmul_f16_l; - shname = "F16_L"; - } - } - - ggml_vk_pipeline_allocate_descriptor_sets(*p, num_it); - if (split_k > 1) { - ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); - - if (vk_prealloc_split_k.size < sizeof(float) * d_ne) { - // Resize buffer - if (vk_prealloc_split_k.size > 0) { - ggml_vk_destroy_buffer(vk_prealloc_split_k); - } - vk_prealloc_split_k = ggml_vk_create_buffer(sizeof(float) * d_ne * split_k, vk::MemoryPropertyFlagBits::eDeviceLocal); - } - } - - vk_buffer d_X = ggml_vk_create_buffer(sizeof(float) * k * m, vk::MemoryPropertyFlagBits::eDeviceLocal); - vk_buffer d_Y = ggml_vk_create_buffer(sizeof(float) * k * n, vk::MemoryPropertyFlagBits::eDeviceLocal); - vk_buffer d_D = ggml_vk_create_buffer(sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); - - ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * x_ne); - ggml_fp16_t* y = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * y_ne); - float* d = (float *) malloc(sizeof(float) * d_ne); - - for (size_t i = 0; i < x_ne; i++) { - x[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); - } - for (size_t i = 0; i < y_ne; i++) { - y[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); - } - - seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, vk_device.transfer_queue, {}, {})); - seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, n, vk_device.transfer_queue, {}, {})); - - ggml_vk_submit(vk_device.transfer_queue, seq, VK_NULL_HANDLE); - - // Wait for transfers to finish - vk_device.transfer_queue.queue.waitIdle(); - - auto begin = std::chrono::high_resolution_clock::now(); - - for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), ggml_vk_subbuffer(vk_prealloc_split_k), m, n, k, k, k, m, split_k, 0, vk_device.compute_queue, {}, {})); - } - - ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); - - vk_device.compute_queue.queue.waitIdle(); - - auto end = std::chrono::high_resolution_clock::now(); - - // copy dst to host - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queue); - - float * fx = (float *) malloc(sizeof(float) * x_ne); - float * fy = (float *) malloc(sizeof(float) * y_ne); - float * d_chk = (float *) malloc(sizeof(float) * d_ne); - - ggml_fp16_to_fp32_row(x, fx, x_ne); - ggml_fp16_to_fp32_row(y, fy, y_ne); - - cblas_sgemm(CblasColMajor, CblasTrans, CblasNoTrans, - m, n, k, - 1.0f, fx, k, - fy, k, - 0.0f, d_chk, m); - - double avg_err = 0.0; - - for (size_t r = 0; r < m; r++) { - for (size_t c = 0; c < n; c++) { - avg_err += std::fabs(d[c * m + r] - d_chk[c * m + r]); - } - } - - std::cerr << "TEST " << shname << " m=" << m << " n=" << n << " k=" << k << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err / (m * n) << std::endl; - - free(fx); - free(fy); - free(d_chk); - - ggml_vk_queue_cleanup(vk_device.transfer_queue); - ggml_vk_queue_cleanup(vk_device.compute_queue); - - ggml_vk_destroy_buffer(d_X); - ggml_vk_destroy_buffer(d_Y); - ggml_vk_destroy_buffer(d_D); - - ggml_vk_pipeline_cleanup(*p); - ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); - - free(x); - free(y); - free(d); -} - -void ggml_vk_test_matmul_f16_f32(size_t m, size_t n, size_t k, size_t num_it, int split_k, int shader_size) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_test_matmul_f16(" << m << ", " << n << ", " << k << ", " << num_it << ", " << split_k << ", " << shader_size << ")" << std::endl; -#endif - if (!vk_device.fp16) { - return; - } - const size_t x_ne = m * k; - const size_t y_ne = k * n; - const size_t d_ne = m * n; - - std::vector seq; - - vk_pipeline * p; - std::string shname; - if (shader_size == 0) { - p = &vk_pipeline_matmul_f16_f32_aligned_s; - shname = "F16_F32_ALIGNED_S"; - } else if (shader_size == 1) { - p = &vk_pipeline_matmul_f16_f32_aligned_m; - shname = "F16_F32_ALIGNED_M"; - } else if (shader_size == 2) { - p = &vk_pipeline_matmul_f16_f32_aligned_l; - shname = "F16_F32_ALIGNED_L"; - } else { - GGML_ASSERT(0); - } - - const size_t kpad = ggml_vk_align_size(k, p->align); - - if (k != kpad) { - if (shader_size == 0) { - p = &vk_pipeline_matmul_f16_f32_s; - shname = "F16_F32_S"; - } else if (shader_size == 1) { - p = &vk_pipeline_matmul_f16_f32_m; - shname = "F16_F32_M"; - } else if (shader_size == 2) { - p = &vk_pipeline_matmul_f16_f32_l; - shname = "F16_F32_L"; - } - } - - ggml_vk_pipeline_allocate_descriptor_sets(*p, num_it); - if (split_k > 1) { - ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); - - if (vk_prealloc_split_k.size < sizeof(float) * d_ne) { - // Resize buffer - if (vk_prealloc_split_k.size > 0) { - ggml_vk_destroy_buffer(vk_prealloc_split_k); - } - vk_prealloc_split_k = ggml_vk_create_buffer(sizeof(float) * d_ne * split_k, vk::MemoryPropertyFlagBits::eDeviceLocal); - } - } - - vk_buffer d_X = ggml_vk_create_buffer(sizeof(float) * k * m, vk::MemoryPropertyFlagBits::eDeviceLocal); - vk_buffer d_Y = ggml_vk_create_buffer(sizeof(float) * k * n, vk::MemoryPropertyFlagBits::eDeviceLocal); - vk_buffer d_D = ggml_vk_create_buffer(sizeof(float) * d_ne, vk::MemoryPropertyFlagBits::eDeviceLocal); - - - ggml_fp16_t* x = (ggml_fp16_t *) malloc(sizeof(ggml_fp16_t) * x_ne); - float* y = (float *) malloc(sizeof(float) * y_ne); - float* d = (float *) malloc(sizeof(float) * d_ne); - - for (size_t i = 0; i < x_ne; i++) { - x[i] = ggml_fp32_to_fp16(rand() / (float)RAND_MAX); - } - for (size_t i = 0; i < y_ne; i++) { - y[i] = rand() / (float)RAND_MAX; - } - - seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(ggml_fp16_t) * k, sizeof(ggml_fp16_t) * k, m, vk_device.transfer_queue, {}, {})); - seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(float) * k, sizeof(float) * k, n, vk_device.transfer_queue, {}, {})); - - ggml_vk_submit(vk_device.transfer_queue, seq, VK_NULL_HANDLE); - - // Wait for transfers to finish - vk_device.transfer_queue.queue.waitIdle(); - - auto begin = std::chrono::high_resolution_clock::now(); - - for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), ggml_vk_subbuffer(vk_prealloc_split_k), m, n, k, k, k, m, split_k, 0, vk_device.compute_queue, {}, {})); - } - - ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); - - vk_device.compute_queue.queue.waitIdle(); - - auto end = std::chrono::high_resolution_clock::now(); - - // copy dst to host - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queue); - - float * fx = (float *) malloc(sizeof(float) * x_ne); - float * d_chk = (float *) malloc(sizeof(float) * d_ne); - - ggml_fp16_to_fp32_row(x, fx, x_ne); - - cblas_sgemm(CblasColMajor, CblasTrans, CblasNoTrans, - m, n, k, - 1.0f, fx, k, - y, k, - 0.0f, d_chk, m); - - double avg_err = 0.0; - - for (size_t r = 0; r < m; r++) { - for (size_t c = 0; c < n; c++) { - avg_err += std::fabs(d[c * m + r] - d_chk[c * m + r]); - } - } - - std::cerr << "TEST " << shname << " m=" << m << " n=" << n << " k=" << k << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err / (m * n) << std::endl; - - free(fx); - free(d_chk); - - ggml_vk_queue_cleanup(vk_device.transfer_queue); - ggml_vk_queue_cleanup(vk_device.compute_queue); - - ggml_vk_destroy_buffer(d_X); - ggml_vk_destroy_buffer(d_Y); - ggml_vk_destroy_buffer(d_D); - - ggml_vk_pipeline_cleanup(*p); - ggml_vk_pipeline_cleanup(vk_pipeline_matmul_split_k_reduce); - - free(x); - free(y); - free(d); -} -#endif diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index 2cdfada62420b..632e52398ed91 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -259,69 +259,86 @@ layout (push_constant) uniform parameter { - int M; - int N; - int K; - int stride_a; - int stride_b; - int stride_d; - int k_split; - int d_offset; + uint M; + uint N; + uint K; + uint stride_a; + uint stride_b; + uint stride_d; + uint k_split; + uint d_offset; + + uint ne02; + uint ne12; + uint broadcast2; + uint broadcast3; + + uint batch_stride_a; + uint batch_stride_b; + uint batch_stride_d; } p; -layout (constant_id = 1) const int BM = 64; -layout (constant_id = 2) const int BN = 64; -layout (constant_id = 3) const int BK = 16; -layout (constant_id = 4) const int WM = 32; -layout (constant_id = 5) const int WN = 32; -layout (constant_id = 6) const int WMITER = 2; -layout (constant_id = 7) const int TM = 4; -layout (constant_id = 8) const int TN = 2; +layout (constant_id = 1) const uint BM = 64; +layout (constant_id = 2) const uint BN = 64; +layout (constant_id = 3) const uint BK = 16; +layout (constant_id = 4) const uint WM = 32; +layout (constant_id = 5) const uint WN = 32; +layout (constant_id = 6) const uint WMITER = 2; +layout (constant_id = 7) const uint TM = 4; +layout (constant_id = 8) const uint TN = 2; shared FLOAT_TYPE buf_a[BM * (BK+1)]; shared FLOAT_TYPE buf_b[BN * (BK+1)]; void main() { - const int blocks_x = (p.M + BM - 1) / BM; - const int ir = int(gl_WorkGroupID.x) % blocks_x; - const int ik = int(gl_WorkGroupID.x) / blocks_x; - const int ic = int(gl_WorkGroupID.y); + const uint i13 = gl_GlobalInvocationID.z / p.ne12; + const uint i12 = gl_GlobalInvocationID.z % p.ne12; + + const uint i03 = i13 / p.broadcast3; + const uint i02 = i12 / p.broadcast2; + + const uint batch_idx_a = i03 * p.ne02 + i02; + + const uint blocks_x = (p.M + BM - 1) / BM; + const uint ir = gl_WorkGroupID.x % blocks_x; + const uint ik = gl_WorkGroupID.x / blocks_x; + const uint ic = gl_WorkGroupID.y; - const int warp_i = int(gl_LocalInvocationID.x / WARP); - const int warp_r = warp_i % (BM / WM); - const int warp_c = warp_i / (BM / WM); + const uint warp_i = gl_LocalInvocationID.x / WARP; + const uint warp_r = warp_i % (BM / WM); + const uint warp_c = warp_i / (BM / WM); - const int WNITER = (WM * WN) / (WARP * TM * TN * WMITER); - const int WSUBM = WM / WMITER; - const int WSUBN = WN / WNITER; + const uint WNITER = (WM * WN) / (WARP * TM * TN * WMITER); + const uint WSUBM = WM / WMITER; + const uint WSUBN = WN / WNITER; - const int tiw = int(gl_LocalInvocationID.x % WARP); - const int tiwr = tiw % (WSUBM / TM); - const int tiwc = tiw / (WSUBM / TM); + const uint tiw = gl_LocalInvocationID.x % WARP; + const uint tiwr = tiw % (WSUBM / TM); + const uint tiwc = tiw / (WSUBM / TM); - const int loadr = int(gl_LocalInvocationID.x % (BK / LOAD_VEC)); - const int loadc = int(gl_LocalInvocationID.x / (BK / LOAD_VEC)); + const uint loadr = gl_LocalInvocationID.x % (BK / LOAD_VEC); + const uint loadc = gl_LocalInvocationID.x / (BK / LOAD_VEC); - const int loadstride = int(gl_WorkGroupSize.x * LOAD_VEC) / BK; + const uint loadstride = gl_WorkGroupSize.x * LOAD_VEC / BK; - const int start_k = ik * p.k_split; - const int end_k = min(p.K, (ik + 1) * p.k_split); + const uint start_k = ik * p.k_split; + const uint end_k = min(p.K, (ik + 1) * p.k_split); - int pos_a = ir * BM * p.stride_a / LOAD_VEC + start_k / LOAD_VEC; - int pos_b = ic * BN * p.stride_b / LOAD_VEC + start_k / LOAD_VEC; + uint pos_a = (batch_idx_a * p.batch_stride_a + ir * BM * p.stride_a + start_k) / LOAD_VEC; + uint pos_b = (gl_GlobalInvocationID.z * p.batch_stride_b + ic * BN * p.stride_b + start_k) / LOAD_VEC; float sums[WMITER * TM * WNITER * TN]; FLOAT_TYPE cache_a[WMITER * TM]; FLOAT_TYPE cache_b[WNITER * TN]; - [[unroll]] for (int i = 0; i < WMITER*TM*WNITER*TN; i++) { + [[unroll]] for (uint i = 0; i < WMITER*TM*WNITER*TN; i++) { sums[i] = 0.0f; } - [[unroll]] for (int block = start_k; block < end_k; block += BK) { - [[unroll]] for (int l = 0; l < BM; l += loadstride) { + [[unroll]] for (uint block = start_k; block < end_k; block += BK) { + [[unroll]] for (uint l = 0; l < BM; l += loadstride) { #if LOAD_VEC == 8 - const int idx = pos_a + (loadc + l) * p.stride_a / LOAD_VEC + loadr; + const uint idx = pos_a + (loadc + l) * p.stride_a / LOAD_VEC + loadr; buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_a[idx][0].x); buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_a[idx][0].y); buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_a[idx][0].z); @@ -331,7 +348,7 @@ buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 6] = FLOAT_TYPE(data_a[idx][1].z); buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 7] = FLOAT_TYPE(data_a[idx][1].w); #elif LOAD_VEC == 4 - const int idx = pos_a + (loadc + l) * p.stride_a / LOAD_VEC + loadr; + const uint idx = pos_a + (loadc + l) * p.stride_a / LOAD_VEC + loadr; buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_a[idx].x); buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_a[idx].y); buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_a[idx].z); @@ -344,9 +361,9 @@ } #endif } - [[unroll]] for (int l = 0; l < BN; l += loadstride) { + [[unroll]] for (uint l = 0; l < BN; l += loadstride) { #if LOAD_VEC == 8 - const int idx = pos_b + (loadc + l) * p.stride_b / LOAD_VEC + loadr; + const uint idx = pos_b + (loadc + l) * p.stride_b / LOAD_VEC + loadr; buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_b[idx][0].x); buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_b[idx][0].y); buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_b[idx][0].z); @@ -356,7 +373,7 @@ buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 6] = FLOAT_TYPE(data_b[idx][1].z); buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 7] = FLOAT_TYPE(data_b[idx][1].w); #elif LOAD_VEC == 4 - const int idx = pos_b + (loadc + l) * p.stride_b / LOAD_VEC + loadr; + const uint idx = pos_b + (loadc + l) * p.stride_b / LOAD_VEC + loadr; buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 0] = FLOAT_TYPE(data_b[idx].x); buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 1] = FLOAT_TYPE(data_b[idx].y); buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_b[idx].z); @@ -375,23 +392,23 @@ pos_a += BK / LOAD_VEC; pos_b += BK / LOAD_VEC; - for (int i = 0; i < BK; i++) { + for (uint i = 0; i < BK; i++) { // Load from shared into cache - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int j = 0; j < TM; j++) { + [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (uint j = 0; j < TM; j++) { cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i]; } } - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int j = 0; j < TN; j++) { + [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (uint j = 0; j < TN; j++) { cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i]; } } - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { + [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (uint cc = 0; cc < TN; cc++) { + [[unroll]] for (uint cr = 0; cr < TM; cr++) { sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]); } } @@ -402,20 +419,20 @@ barrier(); } - const int dr = ir * BM + warp_r * WM; - const int dc = ic * BN + warp_c * WN; + const uint dr = ir * BM + warp_r * WM; + const uint dc = ic * BN + warp_c * WN; - const int k_split_offset = ik * p.M * p.N; + const uint k_split_offset = ik * p.M * p.N; - [[unroll]] for (int wsic = 0; wsic < WNITER; wsic++) { - [[unroll]] for (int wsir = 0; wsir < WMITER; wsir++) { + [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) { + [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) { - const int dr_warp = dr + wsir * WSUBM + tiwr * TM; - const int dc_warp = dc + wsic * WSUBN + tiwc * TN; - [[unroll]] for (int cc = 0; cc < TN; cc++) { - [[unroll]] for (int cr = 0; cr < TM; cr++) { + const uint dr_warp = dr + wsir * WSUBM + tiwr * TM; + const uint dc_warp = dc + wsic * WSUBN + tiwc * TN; + [[unroll]] for (uint cc = 0; cc < TN; cc++) { + [[unroll]] for (uint cr = 0; cr < TM; cr++) { if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[p.d_offset + k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]); + data_d[p.d_offset + gl_GlobalInvocationID.z * p.batch_stride_d + k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]); } } } From c3290d29e07a83886567975145504a1fce7b20e2 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 16 Jan 2024 21:30:14 +0100 Subject: [PATCH 119/142] Switch from semaphore-synchronized multiple command buffers per op to single command buffer for multiple ops, whole graph if possible --- ggml-vulkan.cpp | 681 +++++++++++++++++++++--------------------------- ggml-vulkan.h | 2 +- llama.cpp | 2 +- 3 files changed, 298 insertions(+), 387 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 9c34eda5ca3e7..1ebaf4d4e6d0d 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -66,8 +66,6 @@ static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUA } \ } while (0) -typedef void (*ggml_vk_func_t)(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst); - struct vk_buffer { vk::Buffer buffer; vk::DeviceMemory device_memory; @@ -170,14 +168,25 @@ struct vk_staging_memcpy { size_t n; }; +struct vk_context { + size_t idx; + + vk_submission * s; + std::vector seqs; + + ggml_tensor * exit_tensor; +}; + struct ggml_tensor_extra_gpu { bool ready; std::vector in_memcpys; - std::vector in_seqs; - std::vector comp_seqs; - std::vector out_seqs; std::vector out_memcpys; + vk::Event in0_staging_event; + vk::Event in1_staging_event; + + size_t ctx_idx; + int d_idx; size_t tensor_size; @@ -193,8 +202,11 @@ struct ggml_vk_garbage_collector { std::vector semaphores; std::vector events; std::vector temp_buffers; + std::vector contexts; }; +typedef void (*ggml_vk_func_t)(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst); + vk::Instance vk_instance; vk_device vk_device; vk_pipeline vk_pipeline_matmul_f32_l, vk_pipeline_matmul_f32_m, vk_pipeline_matmul_f32_s; @@ -238,6 +250,8 @@ static vk_buffer vk_staging; static size_t vk_staging_size; static size_t vk_staging_offset; +static vk_context * vk_ctx; + #ifdef GGML_VULKAN_CHECK_RESULTS size_t vk_skip_checks; size_t vk_output_tensor; @@ -576,6 +590,17 @@ static vk_queue ggml_vk_create_queue(uint32_t queue_family_index, uint32_t queue return q; } +static vk_context * ggml_vk_create_context() { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_create_context()" << std::endl; +#endif + vk_gc.contexts.emplace_back(); + vk_context * result = &vk_gc.contexts[vk_gc.contexts.size() - 1]; + memset((void *) result, 0, sizeof(vk_context)); + result->idx = vk_gc.contexts.size() - 1; + return result; +} + static vk_semaphore * ggml_vk_create_binary_semaphore() { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_timeline_semaphore()" << std::endl; @@ -602,11 +627,11 @@ static vk_semaphore * ggml_vk_create_timeline_semaphore() { return &vk_gc.tl_semaphores[vk_semaphore_idx++]; } -static vk::Event * ggml_vk_create_event() { +static vk::Event ggml_vk_create_event() { if (vk_event_idx >= vk_gc.events.size()) { vk_gc.events.push_back(vk_device.device.createEvent({})); } - return &vk_gc.events[vk_event_idx++]; + return vk_gc.events[vk_event_idx++]; } static void ggml_vk_queue_cleanup(vk_queue& q) { @@ -708,6 +733,24 @@ static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector&& events, vk::PipelineStageFlags src_stages, vk::PipelineStageFlags dst_stages) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_wait_events()" << std::endl; +#endif + if (events.empty()) { + return; + } + + cmd_buffer.waitEvents( + events, + src_stages, + dst_stages, + {}, + {}, + {} + ); +} + static void ggml_vk_destroy_buffer(vk_buffer& buf) { #ifdef VK_DEBUG std::cerr << "ggml_vk_destroy_buffer(" << buf.size << ")" << std::endl; @@ -1032,6 +1075,8 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; vk_fence = vk_device.device.createFence({}); + vk_ctx = nullptr; + #ifdef GGML_VULKAN_CHECK_RESULTS const char* skip_checks = getenv("GGML_VULKAN_SKIP_CHECKS"); vk_skip_checks = (skip_checks == NULL ? 0 : atoi(skip_checks)); @@ -1259,19 +1304,43 @@ static void ggml_vk_end_submission(vk_submission& s, std::vector w s.signal_semaphores = std::move(signal_semaphores); } +static void ggml_vk_ctx_end(vk_context& ctx) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_ctx_end(" << &ctx << ", " << ctx.seqs.size() << ")" << std::endl; +#endif + if (ctx.s == nullptr) { + return; + } + + ctx.s->buffer.end(); + ctx.s = nullptr; +} + +static void ggml_vk_ctx_begin(vk_context& ctx, vk_queue& q) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_ctx_begin(" << &ctx << ")" << std::endl; +#endif + if (ctx.s != nullptr) { + ggml_vk_ctx_end(ctx); + } + + ctx.seqs.push_back({ ggml_vk_begin_submission(q) }); + ctx.s = ctx.seqs[ctx.seqs.size() - 1].data(); +} + static size_t ggml_vk_align_size(size_t width, size_t align) { return CEIL_DIV(width, align) * align; } -static void deferred_memcpy(void * dst, const void * src, size_t size, std::vector* pre_staging = nullptr) { - if (pre_staging == nullptr) { +static void deferred_memcpy(void * dst, const void * src, size_t size, std::vector* memcpys = nullptr) { + if (memcpys == nullptr) { memcpy(dst, src, size); } else { - pre_staging->emplace_back(dst, src, size); + memcpys->emplace_back(dst, src, size); } } -static vk_sequence ggml_vk_buffer_write_nc_async(vk_buffer* dst, size_t offset, const ggml_tensor * tensor, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr, bool allow_staging_resize = false) { +static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_t offset, const ggml_tensor * tensor, vk_queue& q, std::vector* memcpys = nullptr, vk::Event * event = nullptr, bool allow_staging_resize = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_nc_async(" << tensor << ")" << std::endl; #endif @@ -1294,14 +1363,6 @@ static vk_sequence ggml_vk_buffer_write_nc_async(vk_buffer* dst, size_t offset, } } - bool reuse_submission = false; - vk_submission submission; - if (s == nullptr) { - submission = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); - s = &submission; - reuse_submission = true; - } - const uint64_t ne0 = tensor->ne[0]; const uint64_t ne1 = tensor->ne[1]; const uint64_t ne2 = tensor->ne[2]; @@ -1346,15 +1407,9 @@ static vk_sequence ggml_vk_buffer_write_nc_async(vk_buffer* dst, size_t offset, } } - if (reuse_submission) { - s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - } - ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); - s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); - if (reuse_submission) { - s->buffer.end(); - } - return { *s }; + ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, true); + ctx.s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); + return; } // Staging buffer required, malloc because of async transfer @@ -1372,29 +1427,27 @@ static vk_sequence ggml_vk_buffer_write_nc_async(vk_buffer* dst, size_t offset, VkBufferCopy buf_copy{ vk_staging_offset, offset, ts*ne/bs }; - if (reuse_submission) { - s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - } - ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); - vkCmdCopyBuffer(s->buffer, vk_staging.buffer, dst->buffer, 1, &buf_copy); - if (reuse_submission) { - s->buffer.end(); + if (event != nullptr) { + *event = ggml_vk_create_event(); + ggml_vk_wait_events(ctx.s->buffer, { *event }, { vk::PipelineStageFlagBits::eHost }, q.stage_flags); } + ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, true); + vkCmdCopyBuffer(ctx.s->buffer, vk_staging.buffer, dst->buffer, 1, &buf_copy); for (int64_t i3 = 0; i3 < ne3; i3++) { for (int64_t i2 = 0; i2 < ne2; i2++) { // Find longest contiguous slice if (ne1*nb1 == dstnb2) { - deferred_memcpy((uint8_t *)vk_staging.ptr + vk_staging_offset + i3*dstnb3 + i2*dstnb2, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2, dstnb2, pre_staging); + deferred_memcpy((uint8_t *)vk_staging.ptr + vk_staging_offset + i3*dstnb3 + i2*dstnb2, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2, dstnb2, memcpys); } else { for (int64_t i1 = 0; i1 < ne1; i1++) { if (ne0*nb0/bs == dstnb1) { - deferred_memcpy((uint8_t *)vk_staging.ptr + vk_staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2 + i1*nb1, dstnb1, pre_staging); + deferred_memcpy((uint8_t *)vk_staging.ptr + vk_staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2 + i1*nb1, dstnb1, memcpys); } else { const size_t s_off = buf_offset + i3*nb3 + i2*nb2 + i1*nb1; const size_t d_off = vk_staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1; for (size_t i0 = 0; i0 < ne0; i0++) { - deferred_memcpy((uint8_t *)vk_staging.ptr + d_off + i0*dstnb0, (const uint8_t *) tensor->data + s_off + i0*nb0, dstnb0, pre_staging); + deferred_memcpy((uint8_t *)vk_staging.ptr + d_off + i0*dstnb0, (const uint8_t *) tensor->data + s_off + i0*nb0, dstnb0, memcpys); } } } @@ -1402,10 +1455,10 @@ static vk_sequence ggml_vk_buffer_write_nc_async(vk_buffer* dst, size_t offset, } } - return { *s }; + return; } -static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr, bool allow_staging_resize = false) { +static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector* memcpys = nullptr, vk::Event * event = nullptr, bool allow_staging_resize = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; #endif @@ -1427,14 +1480,6 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, } } - bool reuse_submission = false; - vk_submission submission; - if (s == nullptr) { - submission = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); - s = &submission; - reuse_submission = true; - } - if (buf != nullptr) { // Memory is pinned, use as staging buffer std::vector slices(1); @@ -1452,15 +1497,9 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, } } - if (reuse_submission) { - s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - } - ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); - s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); - if (reuse_submission) { - s->buffer.end(); - } - return { *s }; + ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, true); + ctx.s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); + return; } #ifdef VK_DEBUG std::cerr << "STAGING" << std::endl; @@ -1484,31 +1523,29 @@ static vk_sequence ggml_vk_buffer_write_2d_async(vk_buffer* dst, size_t offset, offset, width * height}; - if (reuse_submission) { - s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - } - ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); - vkCmdCopyBuffer(s->buffer, vk_staging.buffer, dst->buffer, 1, &buf_copy); - if (reuse_submission) { - s->buffer.end(); + if (event != nullptr) { + *event = ggml_vk_create_event(); + ggml_vk_wait_events(ctx.s->buffer, { *event }, { vk::PipelineStageFlagBits::eHost }, q.stage_flags); } + ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, true); + vkCmdCopyBuffer(ctx.s->buffer, vk_staging.buffer, dst->buffer, 1, &buf_copy); if (width == spitch) { - deferred_memcpy(vk_staging.ptr + vk_staging_offset, src, width * height, pre_staging); + deferred_memcpy((uint8_t *)vk_staging.ptr + vk_staging_offset, src, width * height, memcpys); } else { for (size_t i = 0; i < height; i++) { - deferred_memcpy((uint8_t *)vk_staging.ptr + vk_staging_offset + i * width, (const uint8_t *) src + i * spitch, width, pre_staging); + deferred_memcpy((uint8_t *)vk_staging.ptr + vk_staging_offset + i * width, (const uint8_t *) src + i * spitch, width, memcpys); } } - return { *s }; + return; } -static vk_sequence ggml_vk_buffer_write_async(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { +static void ggml_vk_buffer_write_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector* memcpys = nullptr, vk::Event * event = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; #endif - return ggml_vk_buffer_write_2d_async(dst, offset, src, size, size, 1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); + return ggml_vk_buffer_write_2d_async(ctx, dst, offset, src, size, size, 1, q, memcpys, event); } static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q) { @@ -1523,8 +1560,11 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * memcpy((uint8_t *)dst->ptr + offset + i * width, (const uint8_t *) src + i * spitch, width); } } else { - std::vector s = { ggml_vk_buffer_write_2d_async(dst, offset, src, spitch, width, height, q, {}, {}, nullptr, nullptr, true) }; - ggml_vk_submit(q, s, vk_fence); + vk_context * ctx = ggml_vk_create_context(); + ggml_vk_ctx_begin(*ctx, q); + ggml_vk_buffer_write_2d_async(*ctx, dst, offset, src, spitch, width, height, q, nullptr, nullptr, true); + ggml_vk_ctx_end(*ctx); + ggml_vk_submit(q, ctx->seqs, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "vk_buffer_write_2d waitForFences"); vk_device.device.resetFences({ vk_fence }); } @@ -1537,7 +1577,7 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1, q); } -static vk_sequence ggml_vk_buffer_read_2d_async(vk_buffer* src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr, bool allow_staging_resize = false) { +static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, vk_queue& q, std::vector* memcpys = nullptr, bool allow_staging_resize = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_read_2d_async(offset=" << offset << ", width=" << width << ", height=" << height << ")" << std::endl; #endif @@ -1557,14 +1597,6 @@ static vk_sequence ggml_vk_buffer_read_2d_async(vk_buffer* src, size_t offset, v } } - bool reuse_submission = false; - vk_submission submission; - if (s == nullptr) { - submission = ggml_vk_create_submission(q, std::move(wait_semaphores), std::move(signal_semaphores)); - s = &submission; - reuse_submission = true; - } - std::vector slices(1); if (width == spitch && width == dpitch) { // Only do single write if stride is equal @@ -1582,16 +1614,10 @@ static vk_sequence ggml_vk_buffer_read_2d_async(vk_buffer* src, size_t offset, v if (buf != nullptr) { // Memory is pinned, use as staging buffer - if (reuse_submission) { - s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - } - ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*src) }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead, false); - s->buffer.copyBuffer(src->buffer, buf->buffer, slices); - if (reuse_submission) { - s->buffer.end(); - } + ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*src) }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead, true); + ctx.s->buffer.copyBuffer(src->buffer, buf->buffer, slices); - return { *s }; + return; } #ifdef VK_DEBUG std::cerr << "STAGING" << std::endl; @@ -1610,24 +1636,18 @@ static vk_sequence ggml_vk_buffer_read_2d_async(vk_buffer* src, size_t offset, v vk_staging = ggml_vk_create_buffer(src->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); } - if (reuse_submission) { - s->buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - } - ggml_vk_sync_buffers(s->buffer, { ggml_vk_subbuffer(*src) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); - s->buffer.copyBuffer(src->buffer, vk_staging.buffer, slices); - if (reuse_submission) { - s->buffer.end(); - } + ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*src) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, true); + ctx.s->buffer.copyBuffer(src->buffer, vk_staging.buffer, slices); - GGML_ASSERT(pre_staging != nullptr); + GGML_ASSERT(memcpys != nullptr); - deferred_memcpy(dst, vk_staging.ptr, dpitch * height, pre_staging); + deferred_memcpy(dst, vk_staging.ptr, dpitch * height, memcpys); - return { *s }; + return; } -static vk_sequence ggml_vk_buffer_read_async(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission* s = nullptr, std::vector* pre_staging = nullptr) { - return ggml_vk_buffer_read_2d_async(src, offset, dst, size, size, size, 1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); +static void ggml_vk_buffer_read_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector* memcpys = nullptr) { + return ggml_vk_buffer_read_2d_async(ctx, src, offset, dst, size, size, size, 1, q, memcpys); } static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q) { @@ -1639,9 +1659,12 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ memcpy(dst, (uint8_t *) src->ptr + offset, size); } else { + vk_context ctx; + ggml_vk_ctx_begin(ctx, q); std::vector staging; - std::vector s = { ggml_vk_buffer_read_async(src, offset, dst, size, q, {}, {}, nullptr, &staging) }; - ggml_vk_submit(q, s, vk_fence); + ggml_vk_buffer_read_async(ctx, src, offset, dst, size, q, &staging); + ggml_vk_ctx_end(ctx); + ggml_vk_submit(q, ctx.seqs, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "vk_buffer_read waitForFences"); vk_device.device.resetFences({ vk_fence }); @@ -1664,11 +1687,11 @@ static void ggml_vk_buffer_memset(vk_buffer* dst, size_t offset, uint32_t c, siz std::vector s = { { submission } }; ggml_vk_submit(q, s, vk_fence); - VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "vk_buffer_write_2d waitForFences"); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "vk_memset waitForFences"); vk_device.device.resetFences({ vk_fence }); } -static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer * dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission * s = nullptr, std::vector * pre_staging = nullptr) { +static void ggml_vk_h2d_tensor_2d(vk_context& ctx, vk_buffer * dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1, vk_queue& q, std::vector * memcpys = nullptr, vk::Event * event = nullptr) { #ifdef VK_DEBUG std::cerr << "ggml_vk_h2d_tensor_2d(dst=" << dst << ", offset=" << offset << ", src=" << src << ", i3=" << i3 << ", i2=" << i2 << ", i1=" << i1 << ")" << std::endl; #endif @@ -1685,20 +1708,20 @@ static vk_sequence ggml_vk_h2d_tensor_2d(vk_buffer * dst, size_t offset, const g const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); if (nb0 == ts && nb1 == row_length) { - return ggml_vk_buffer_write_async(dst, offset, x, i1*nb1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); + return ggml_vk_buffer_write_async(ctx, dst, offset, x, i1*nb1, q, memcpys, event); } if (nb0 == ts && (i1 == ne1 || !ggml_is_permuted(src))) { - return ggml_vk_buffer_write_2d_async(dst, offset, x, nb1, row_length, i1, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); + return ggml_vk_buffer_write_2d_async(ctx, dst, offset, x, nb1, row_length, i1, q, memcpys, event); } GGML_ASSERT(i3 == 0); GGML_ASSERT(i2 == 0); GGML_ASSERT(i1 == ggml_nrows(src)); - return ggml_vk_buffer_write_nc_async(dst, offset, src, q, std::move(wait_semaphores), std::move(signal_semaphores), s, pre_staging); + return ggml_vk_buffer_write_nc_async(ctx, dst, offset, src, q, memcpys, event); } -static vk_sequence ggml_vk_d2h_tensor_2d(vk_buffer * src, size_t offset, const ggml_tensor * dst, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores, vk_submission * s = nullptr) { +static void ggml_vk_d2h_tensor_2d(vk_context& ctx, vk_buffer * src, size_t offset, const ggml_tensor * dst, vk_queue& q) { #ifdef VK_DEBUG std::cerr << "ggml_vk_d2h_tensor_2d()" << std::endl; #endif @@ -1716,10 +1739,10 @@ static vk_sequence ggml_vk_d2h_tensor_2d(vk_buffer * src, size_t offset, const g const size_t row_length = ts*ne0/bs; if (ggml_is_contiguous(dst)) { - return ggml_vk_buffer_read_async(src, offset, dst->data, ne1*nb1*ne2*ne3, q, std::move(wait_semaphores), std::move(signal_semaphores), s); + return ggml_vk_buffer_read_async(ctx, src, offset, dst->data, ne1*nb1*ne2*ne3, q); } if (nb0 == ts) { - return ggml_vk_buffer_read_2d_async(src, offset, dst->data, nb1, nb1, row_length, ne1*ne2*ne3, q, std::move(wait_semaphores), std::move(signal_semaphores), s); + return ggml_vk_buffer_read_2d_async(ctx, src, offset, dst->data, nb1, nb1, row_length, ne1*ne2*ne3, q); } GGML_ASSERT(false); } @@ -1817,32 +1840,28 @@ static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16_x, bool bit16_y, in return aligned ? &vk_pipeline_matmul_f32_aligned_l : &vk_pipeline_matmul_f32_l; } -static vk_sequence ggml_vk_matmul(vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& split_k_buffer, uint32_t m, uint32_t n, uint32_t k, uint32_t stride_a, uint32_t stride_b, uint32_t stride_d, uint32_t split_k, uint32_t d_offset, uint32_t batch, uint32_t ne02, uint32_t ne12, uint32_t broadcast2, uint32_t broadcast3, uint32_t batch_stride_a, uint32_t batch_stride_b, uint32_t batch_stride_d, vk_queue& q, std::vector&& wait_semaphores, std::vector&& signal_semaphores) { +static void ggml_vk_matmul(vk_context& ctx, vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& split_k_buffer, uint32_t m, uint32_t n, uint32_t k, uint32_t stride_a, uint32_t stride_b, uint32_t stride_d, uint32_t split_k, uint32_t d_offset, uint32_t batch, uint32_t ne02, uint32_t ne12, uint32_t broadcast2, uint32_t broadcast3, uint32_t batch_stride_a, uint32_t batch_stride_b, uint32_t batch_stride_d, vk_queue& q) { #ifdef VK_DEBUG std::cerr << "ggml_vk_matmul(a: (" << a.buffer.buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer.buffer << ", " << b.offset << ", " << b.size << "), c: (" << d.buffer.buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << split_k_buffer.buffer.buffer << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", split_k: " << split_k << ", d_offset: " << d_offset << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ")" << std::endl; #endif - vk_submission s = ggml_vk_begin_submission(q); - ggml_vk_sync_buffers(s.buffer, { a, b }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, false); + ggml_vk_sync_buffers(ctx.s->buffer, { a, b }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, true); if (split_k == 1) { - ggml_vk_sync_buffers(s.buffer, { d }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_sync_buffers(ctx.s->buffer, { d }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, true); const std::array pc = { m, n, k, stride_a, stride_b, stride_d, k, d_offset, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d }; - ggml_vk_dispatch_pipeline(s, pipeline, { a, b, d }, pc.size() * sizeof(uint32_t), pc.data(), { m, n, batch }); - ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); - return { s }; + ggml_vk_dispatch_pipeline(*ctx.s, pipeline, { a, b, d }, pc.size() * sizeof(uint32_t), pc.data(), { m, n, batch }); + return; } GGML_ASSERT(batch_stride_d == m * n); - ggml_vk_sync_buffers(s.buffer, { split_k_buffer }, q, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_sync_buffers(ctx.s->buffer, { split_k_buffer }, q, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eShaderWrite, true); // Synchronize the two submissions const std::array pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k), 0, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d * split_k }; - ggml_vk_dispatch_pipeline(s, pipeline, { a, b, split_k_buffer }, pc1.size() * sizeof(uint32_t), pc1.data(), { m * split_k, n, batch }); - ggml_vk_sync_buffers(s.buffer, { split_k_buffer, d }, q, vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_dispatch_pipeline(*ctx.s, pipeline, { a, b, split_k_buffer }, pc1.size() * sizeof(uint32_t), pc1.data(), { m * split_k, n, batch }); + ggml_vk_sync_buffers(ctx.s->buffer, { split_k_buffer, d }, q, vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, true); const std::array pc2 = { (uint32_t)(m * n * batch), split_k, d_offset }; - ggml_vk_dispatch_pipeline(s, vk_pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(uint32_t), pc2.data(), { m * n * batch, 1, 1 }); - ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); - - return { s }; + ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(uint32_t), pc2.data(), { m * n * batch, 1, 1 }); + return; } static bool ggml_vk_dim01_contiguous(const ggml_tensor * tensor) { @@ -1867,7 +1886,7 @@ static vk_pipeline * ggml_vk_get_cpy_pipeline(ggml_type from, ggml_type to) { GGML_ASSERT(false); } -static void ggml_vk_cpy_to_contiguous(vk_pipeline * pipeline, ggml_tensor_extra_gpu * extra, const ggml_tensor * tensor, vk_subbuffer&& in, vk_subbuffer&& out, ggml_type buffer_type, std::vector&& wait_semaphores, std::vector&& signal_semaphores, bool aligned=true) { +static void ggml_vk_cpy_to_contiguous(vk_context& ctx, vk_pipeline * pipeline, const ggml_tensor * tensor, vk_subbuffer&& in, vk_subbuffer&& out, ggml_type buffer_type, bool aligned=true) { #ifdef VK_DEBUG std::cerr << "ggml_vk_cpy_to_contiguous((" << tensor << ", type=" << tensor->type << ", backend=" << tensor->backend << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << "), "; std::cerr << "buffer in size=" << in.buffer.size << ", buffer out size=" << out.buffer.size << ")" << std::endl; @@ -1881,22 +1900,17 @@ static void ggml_vk_cpy_to_contiguous(vk_pipeline * pipeline, ggml_tensor_extra_ const uint32_t nb2 = aligned ? ggml_vk_align_size(dst_type_size * tensor->ne[0] * tensor->ne[1], vk_device.properties.limits.minStorageBufferOffsetAlignment) / dst_type_size : tensor->ne[0] * tensor->ne[1]; - vk_submission s = ggml_vk_begin_submission(compq); const vk_op_cpy_push_constants pc = { (uint32_t)ne, (uint32_t)tensor->ne[0], (uint32_t)tensor->ne[1], (uint32_t)tensor->nb[0] / tensor_type_size, (uint32_t)tensor->nb[1] / tensor_type_size, (uint32_t)tensor->nb[2] / tensor_type_size, (uint32_t)tensor->ne[0], (uint32_t)tensor->ne[1], 1 , (uint32_t)tensor->ne[0] , nb2, 0, }; - ggml_vk_sync_buffers(s.buffer, { in }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { out }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { in, out }, sizeof(vk_op_cpy_push_constants), &pc, { ne, 1, 1 }); - ggml_vk_end_submission(s, std::move(wait_semaphores), std::move(signal_semaphores)); - - extra->comp_seqs.push_back({ s }); + ggml_vk_sync_buffers(ctx.s->buffer, { in, out }, compq, vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite, true); + ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { in, out }, sizeof(vk_op_cpy_push_constants), &pc, { ne, 1, 1 }); } -static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; @@ -1925,7 +1939,6 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * const uint64_t r3 = ne13 / ne03; vk_queue& compq = vk_device.compute_queue; - vk_queue& trq = vk_device.transfer_queue; const bool load_x = src0->backend != GGML_BACKEND_GPU; const bool load_y = src1->backend != GGML_BACKEND_GPU; @@ -1970,8 +1983,6 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra; - GGML_ASSERT(extra->comp_seqs.empty()); - vk_buffer* d_D = extra->buffer_gpu; const uint64_t d_buf_offset = extra->offset; GGML_ASSERT(d_D != nullptr); @@ -2045,57 +2056,26 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, ne12 * ne13); } - vk_semaphore x_semaphore; - if (x_non_contig) { - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - ggml_vk_cpy_to_contiguous(to_fp16_vk_0, extra, src0, { *d_Qx, qx_buf_offset, VK_WHOLE_SIZE }, { *d_X, 0, VK_WHOLE_SIZE }, dst->type, {}, { { sem->s, sem->value + 1 } }, false); - x_semaphore = { sem->s, sem->value + 1 }; - sem->value += 1; + ggml_vk_cpy_to_contiguous(ctx, to_fp16_vk_0, src0, { *d_Qx, qx_buf_offset, VK_WHOLE_SIZE }, { *d_X, 0, VK_WHOLE_SIZE }, dst->type, false); } else if (load_x || qx_needs_dequant) { - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - if (load_x) { // copy data to device - extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, 0, src0, 0, 0, ggml_nrows(src0), trq, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->in_memcpys)); + ggml_vk_h2d_tensor_2d(ctx, d_Qx, 0, src0, 0, 0, ggml_nrows(src0), compq, &extra->in_memcpys, &extra->in0_staging_event); vk_staging_offset = qx_sz * ne02 * ne03; } if (qx_needs_dequant) { - vk_submission s = ggml_vk_begin_submission(compq); const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_sync_buffers(s.buffer, { { *d_X, 0, x_sz * ne02 * ne03 } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *to_fp16_vk_0, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 }, { *d_X, 0, x_sz * ne02 * ne03 } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)(x_ne * ne02 * ne03), 1, 1}); - if (load_x) { - ggml_vk_end_submission(s, { { sem->s, sem->value + 1 } }, { { sem->s, sem->value + 2 } }); - } else { - ggml_vk_end_submission(s, {}, { { sem->s, sem->value + 2 } }); - } - - extra->comp_seqs.push_back({ s }); - - x_semaphore = { sem->s, sem->value + 2 }; - } else if (load_x) { - x_semaphore = { sem->s, sem->value + 1 }; + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, 0, x_sz * ne02 * ne03 } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_dispatch_pipeline(*ctx.s, *to_fp16_vk_0, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 }, { *d_X, 0, x_sz * ne02 * ne03 } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)(x_ne * ne02 * ne03), 1, 1}); } - - sem->value += 2; - } - - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - - std::vector mm_semaphores; - - if (load_x || qx_needs_dequant) { - mm_semaphores.push_back(x_semaphore); } if (y_non_contig) { - ggml_vk_cpy_to_contiguous(to_fp16_vk_1, extra, src1, { *d_Qy, qy_buf_offset, VK_WHOLE_SIZE }, { *d_Y, 0, VK_WHOLE_SIZE }, dst->type, {}, { { sem->s, sem->value + 1 } }, false); - mm_semaphores.push_back({ sem->s, sem->value + 1 }); + ggml_vk_cpy_to_contiguous(ctx, to_fp16_vk_1, src1, { *d_Qy, qy_buf_offset, VK_WHOLE_SIZE }, { *d_Y, 0, VK_WHOLE_SIZE }, dst->type); } else if (load_y) { - extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qy, 0, src1, 0, 0, ggml_nrows(src1), trq, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->in_memcpys)); - mm_semaphores.push_back({ sem->s, sem->value + 1 }); + ggml_vk_h2d_tensor_2d(ctx, d_Qy, 0, src1, 0, 0, ggml_nrows(src1), compq, &extra->in_memcpys, &extra->in1_staging_event); } uint32_t stride_batch_x = ne00*ne01; @@ -2110,18 +2090,16 @@ static void ggml_vk_mul_mat_q_f16(const ggml_tensor * src0, const ggml_tensor * } // compute - extra->comp_seqs.push_back(ggml_vk_matmul(*pipeline, { *d_X, x_buf_offset, x_sz * ne02 * ne03 }, { *d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { *d_D, d_buf_offset, d_sz * ne12 * ne13 }, { vk_prealloc_split_k, 0, split_k_d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, 0, ne12*ne13, ne02, ne12, r2, r3, stride_batch_x, stride_batch_y, ne20*ne21, compq, std::move(mm_semaphores), { { sem->s, sem->value + 2 } })); // NOLINT + ggml_vk_matmul(ctx, *pipeline, { *d_X, x_buf_offset, x_sz * ne02 * ne03 }, { *d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { *d_D, d_buf_offset, d_sz * ne12 * ne13 }, { vk_prealloc_split_k, 0, split_k_d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, 0, ne12*ne13, ne02, ne12, r2, r3, stride_batch_x, stride_batch_y, ne20*ne21, compq); // NOLINT if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data); - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, d, sizeof(float) * d_ne * ne12 * ne13, trq, { { sem->s, sem->value + 2 } }, {}, nullptr, &extra->out_memcpys)); + ggml_vk_buffer_read_async(ctx, d_D, 0, d, sizeof(float) * d_ne * ne12 * ne13, compq, &extra->out_memcpys); } - - sem->value += 2; } -static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat_vec_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; @@ -2155,7 +2133,6 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const bool y_non_contig = !load_y && !ggml_vk_dim01_contiguous(src1); vk_queue& compq = vk_device.compute_queue; - vk_queue& trq = vk_device.transfer_queue; const bool f16_f32_kernel = src1->type == GGML_TYPE_F32; const bool qx_needs_dequant = x_non_contig; @@ -2175,8 +2152,6 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra; - GGML_ASSERT(extra->comp_seqs.empty()); - vk_buffer* d_D = extra->buffer_gpu; const uint64_t d_buf_offset = extra->offset; GGML_ASSERT(d_D != nullptr); @@ -2241,29 +2216,18 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso } ggml_vk_pipeline_allocate_descriptor_sets(*dmmv, ne12 * ne13); - std::vector semaphores; - if (x_non_contig) { GGML_ASSERT(x_sz == ggml_vk_align_size(ggml_type_size(src0->type) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment)); - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - ggml_vk_cpy_to_contiguous(to_fp16_vk_0, extra, src0, { *d_Qx, qx_buf_offset, VK_WHOLE_SIZE }, { *d_X, 0, VK_WHOLE_SIZE }, src0->type, {}, { { sem->s, sem->value + 1 } }); - semaphores.push_back({ sem->s, sem->value + 1 }); - sem->value += 1; + ggml_vk_cpy_to_contiguous(ctx, to_fp16_vk_0, src0, { *d_Qx, qx_buf_offset, VK_WHOLE_SIZE }, { *d_X, 0, VK_WHOLE_SIZE }, src0->type); } else if (load_x) { - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - // copy data to device - extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Qx, 0, src0, 0, 0, ggml_nrows(src0), trq, {}, { { sem->s, sem->value + 1 } }, nullptr, &extra->in_memcpys)); - semaphores.push_back({ sem->s, sem->value + 1 }); - - sem->value += 1; + ggml_vk_h2d_tensor_2d(ctx, d_Qx, 0, src0, 0, 0, ggml_nrows(src0), compq, &extra->in_memcpys, &extra->in0_staging_event); } if (y_non_contig) { GGML_ASSERT(y_sz == ggml_type_size(src1->type) * y_ne); - vk_semaphore * sem = ggml_vk_create_timeline_semaphore(); - ggml_vk_cpy_to_contiguous(to_fp16_vk_1, extra, src1, { *d_Qy, qy_buf_offset, VK_WHOLE_SIZE }, { *d_Y, 0, VK_WHOLE_SIZE }, src1->type, {}, { { sem->s, sem->value + 1 } }, false); - semaphores.push_back({ sem->s, sem->value + 1 }); - sem->value += 1; + ggml_vk_cpy_to_contiguous(ctx, to_fp16_vk_1, src1, { *d_Qy, qy_buf_offset, VK_WHOLE_SIZE }, { *d_Y, 0, VK_WHOLE_SIZE }, src1->type); + } else if (load_y) { + ggml_vk_h2d_tensor_2d(ctx, d_Qy, 0, src1, 0, 0, ggml_nrows(src1), compq, &extra->in_memcpys, &extra->in1_staging_event); } for (int64_t i13 = 0; i13 < ne13; i13++) { @@ -2284,40 +2248,30 @@ static void ggml_vk_mul_mat_vec_q_f16(const ggml_tensor * src0, const ggml_tenso const uint32_t d_buffer_offset = (d_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; const uint32_t d_shader_offset = d_offset - d_buffer_offset; - vk_submission s = ggml_vk_begin_submission(compq); - - if (load_y) { - ggml_vk_h2d_tensor_2d(d_Qy, qy_offset, src1, i13, i12, ne11, compq, {}, {}, &s, &extra->in_memcpys); - } - if (!y_non_contig && qy_needs_dequant) { const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(s.buffer, { { *d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - ggml_vk_sync_buffers(s.buffer, { { *d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *to_fp16_vk_1, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_dispatch_pipeline(*ctx.s, *to_fp16_vk_1, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); } // compute const std::array pc = { (int)ne00, (int)(y_shader_offset / ggml_type_size(src1->type)), (int)(d_shader_offset / ggml_type_size(dst->type))}; - ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, *dmmv, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 3 * sizeof(int), &pc, { (uint32_t)ne01, 1, 1}); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_dispatch_pipeline(*ctx.s, *dmmv, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 3 * sizeof(int), &pc, { (uint32_t)ne01, 1, 1}); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); - ggml_vk_buffer_read_async(d_D, d_offset, d, sizeof(float) * d_ne, compq, {}, {}, &s, &extra->out_memcpys); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); + ggml_vk_buffer_read_async(ctx, d_D, d_offset, d, sizeof(float) * d_ne, compq, &extra->out_memcpys); } - - ggml_vk_end_submission(s, semaphores, {}); - - extra->comp_seqs.push_back({ s }); } } } -static void ggml_vk_mul_mat_vec_p021_f16_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat_p021_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; @@ -2361,8 +2315,6 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(const ggml_tensor * src0, const ggm ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra; - GGML_ASSERT(extra->comp_seqs.empty()); - vk_buffer* d_D = extra->buffer_gpu; const uint64_t d_buf_offset = extra->offset; GGML_ASSERT(d_D != nullptr); @@ -2389,31 +2341,25 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(const ggml_tensor * src0, const ggm const uint32_t d_buffer_offset = (d_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; const uint32_t d_shader_offset = d_buf_offset - d_buffer_offset; - vk_submission s = ggml_vk_begin_submission(compq); - if (load_y) { - ggml_vk_h2d_tensor_2d(d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq, {}, {}, &s, &extra->in_memcpys); + ggml_vk_h2d_tensor_2d(ctx, d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq, &extra->in_memcpys, &extra->in1_staging_event); } // compute const std::array pc = { (uint32_t)ne00, (uint32_t)ne01, (uint32_t)ne02, (uint32_t)ne12, (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) }; - ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_mat_vec_p021_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 6 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_mul_mat_vec_p021_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 6 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) dst->data; - ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); - ggml_vk_buffer_read_async(d_D, d_buf_offset, d, sizeof(float) * d_ne, compq, {}, {}, &s, &extra->out_memcpys); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); + ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne, compq, &extra->out_memcpys); } - - ggml_vk_end_submission(s, {}, {}); - - extra->comp_seqs.push_back({ s }); } -static void ggml_vk_mul_mat_vec_nc_f16_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat_nc_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; @@ -2461,8 +2407,6 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(const ggml_tensor * src0, const ggml_ ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra; - GGML_ASSERT(extra->comp_seqs.empty()); - vk_buffer* d_D = extra->buffer_gpu; const uint64_t d_buf_offset = extra->offset; GGML_ASSERT(d_D != nullptr); @@ -2489,28 +2433,22 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(const ggml_tensor * src0, const ggml_ const uint32_t d_buffer_offset = (d_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; const uint32_t d_shader_offset = d_buf_offset - d_buffer_offset; - vk_submission s = ggml_vk_begin_submission(compq); - if (load_y) { - ggml_vk_h2d_tensor_2d(d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq, {}, {}, &s, &extra->in_memcpys); + ggml_vk_h2d_tensor_2d(ctx, d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq, &extra->in_memcpys, &extra->in1_staging_event); } // compute const std::array pc = { (uint32_t)ne00, (uint32_t)ne01, row_stride_x, channel_stride_x, (uint32_t)(ne12 / ne02), (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) }; - ggml_vk_sync_buffers(s.buffer, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); - ggml_vk_dispatch_pipeline(s, vk_pipeline_mul_mat_vec_nc_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 7 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_mul_mat_vec_nc_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 7 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) dst->data; - ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); - ggml_vk_buffer_read_async(d_D, d_buf_offset, d, sizeof(float) * d_ne, compq, {}, {}, &s, &extra->out_memcpys); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); + ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne, compq, &extra->out_memcpys); } - - ggml_vk_end_submission(s, {}, {}); - - extra->comp_seqs.push_back({ s }); } bool ggml_vk_can_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * dst) { @@ -2526,22 +2464,22 @@ bool ggml_vk_can_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, con ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_GPU); } -static void ggml_vk_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { +static void ggml_vk_mul_mat(vk_context& ctx, const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat(" << src0 << ", " << src1 << ", " << dst << ")" << std::endl; #endif if (src0->type == GGML_TYPE_F16 && ggml_is_permuted(src0) && ggml_is_permuted(src1) && src1->ne[1] == 1) { - ggml_vk_mul_mat_vec_p021_f16_f32(src0, src1, dst); + ggml_vk_mul_mat_vec_p021_f16_f32(ctx, src0, src1, dst); } else if (src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && src1->ne[1] == 1) { - ggml_vk_mul_mat_vec_nc_f16_f32(src0, src1, dst); + ggml_vk_mul_mat_vec_nc_f16_f32(ctx, src0, src1, dst); } else if (src1->ne[1] == 1 && (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type))) { - ggml_vk_mul_mat_vec_q_f16(src0, src1, dst); + ggml_vk_mul_mat_vec_q_f16(ctx, src0, src1, dst); } else { - ggml_vk_mul_mat_q_f16(src0, src1, dst); + ggml_vk_mul_mat_q_f16(ctx, src0, src1, dst); } } -static void ggml_vk_op_repeat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_op_repeat(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { // guaranteed to be an integer due to the check in ggml_can_repeat const int64_t ne0 = dst->ne[0]; const int64_t ne1 = dst->ne[1]; @@ -2582,7 +2520,7 @@ static void ggml_vk_op_repeat(const ggml_tensor * src0, const ggml_tensor * src1 vk_buffer* dst_buf = extra->buffer_gpu; const uint64_t dst_offset = extra->offset; - std::vector copies; + std::vector copies; for (int i3 = 0; i3 < nr3; i3++) { for (int k3 = 0; k3 < ne03; k3++) { @@ -2604,10 +2542,7 @@ static void ggml_vk_op_repeat(const ggml_tensor * src0, const ggml_tensor * src1 } } - vk_submission s = ggml_vk_begin_submission(vk_device.transfer_queue); - vkCmdCopyBuffer(s.buffer, src_buf->buffer, dst_buf->buffer, copies.size(), copies.data()); - ggml_vk_end_submission(s, {}, {}); - extra->out_seqs.push_back({ s }); + ctx.s->buffer.copyBuffer(src_buf->buffer, dst_buf->buffer, copies); (void) src1; } @@ -2721,7 +2656,7 @@ void ggml_vk_print_tensor(const ggml_tensor * tensor, const char * name); #endif template -static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, const PC&& pc) { +static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, const PC&& pc) { #ifdef VK_DEBUG std::cerr << "ggml_vk_op_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; if (src1 != nullptr) { @@ -2762,7 +2697,7 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g GGML_ASSERT(false); } - op_func(src0, src1, dst); + op_func(ctx, src0, src1, dst); return; } @@ -2777,8 +2712,6 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; ggml_tensor_extra_gpu * extra_src1 = use_src1 ? (ggml_tensor_extra_gpu *) src1->extra : nullptr; - GGML_ASSERT(extra->comp_seqs.empty()); - // Workaround for tiny tensor inputs on ROPE if (use_src1 && src1->backend == GGML_BACKEND_GPU && y_sz > extra_src1->buffer_gpu->size) { y_sz = VK_WHOLE_SIZE; @@ -2819,20 +2752,13 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g std::array elements; - std::vector transfer_semaphores; // copy src0 to device if (transfer_src0) { - vk_semaphore * sem_x = ggml_vk_create_timeline_semaphore(); - extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_X, 0, src0, 0, 0, ggml_nrows(src0), vk_device.transfer_queue, {}, { { sem_x->s, sem_x->value + 1 } }, nullptr, &extra->in_memcpys)); - transfer_semaphores.push_back({ sem_x->s, sem_x->value + 1}); - sem_x->value += 1; + ggml_vk_h2d_tensor_2d(ctx, d_X, 0, src0, 0, 0, ggml_nrows(src0), vk_device.compute_queue, &extra->in_memcpys, &extra->in0_staging_event); vk_staging_offset = x_sz * ne02 * ne03; } if (transfer_src1) { - vk_semaphore * sem_y = ggml_vk_create_timeline_semaphore(); - extra->in_seqs.push_back(ggml_vk_h2d_tensor_2d(d_Y, 0, src1, 0, 0, ggml_nrows(src1), vk_device.transfer_queue, {}, { { sem_y->s, sem_y->value + 1 } }, nullptr, &extra->in_memcpys)); - transfer_semaphores.push_back({ sem_y->s, sem_y->value + 1 }); - sem_y->value += 1; + ggml_vk_h2d_tensor_2d(ctx, d_Y, 0, src1, 0, 0, ggml_nrows(src1), vk_device.compute_queue, &extra->in_memcpys, &extra->in1_staging_event); } // Single call if dimension 2 is contiguous @@ -2862,37 +2788,24 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g d_sz *= ne02 * ne03; } - vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); - ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buf_offset, d_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buf_offset, d_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, true); if (!use_src1 && op == GGML_OP_SOFT_MAX) { // Empty src1 is possible on soft_max, but the shader needs a buffer - ggml_vk_sync_buffers(s.buffer, { { *d_X, x_buf_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else if (use_src1) { - ggml_vk_sync_buffers(s.buffer, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else { - ggml_vk_sync_buffers(s.buffer, { { *d_X, x_buf_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } if (dst->backend == GGML_BACKEND_CPU && op == GGML_OP_CPY) { - vk_semaphore * fsem = ggml_vk_create_binary_semaphore(); - ggml_vk_end_submission(s, std::move(transfer_semaphores), { *fsem }); - extra->comp_seqs.push_back({ s }); - - // copy dst to host - extra->out_seqs.push_back(ggml_vk_d2h_tensor_2d(d_D, 0, dst, vk_device.transfer_queue, { *fsem }, {})); + ggml_vk_d2h_tensor_2d(ctx, d_D, 0, dst, vk_device.compute_queue); } else if(dst->backend == GGML_BACKEND_CPU) { - vk_semaphore * fsem = ggml_vk_create_binary_semaphore(); - ggml_vk_end_submission(s, std::move(transfer_semaphores), { *fsem }); - extra->comp_seqs.push_back({ s }); - // copy dst to host float * d = (float *) dst->data; - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, d, d_sz, vk_device.transfer_queue, { *fsem }, {}, nullptr, &extra->out_memcpys)); - } else { - ggml_vk_end_submission(s, std::move(transfer_semaphores), {}); - extra->comp_seqs.push_back({ s }); + ggml_vk_buffer_read_async(ctx, d_D, 0, d, d_sz, vk_device.compute_queue, &extra->out_memcpys); } } else { ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); @@ -2920,69 +2833,61 @@ static void ggml_vk_op_f32(const ggml_tensor * src0, const ggml_tensor * src1, g const uint32_t y_offset = y_sz * it_idx1; const uint32_t d_offset = d_sz * it_idx0; - vk_submission s = ggml_vk_begin_submission(vk_device.compute_queue); - ggml_vk_sync_buffers(s.buffer, { { *d_D, d_buf_offset + d_offset, d_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, false); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buf_offset + d_offset, d_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, true); if (!use_src1 && op == GGML_OP_SOFT_MAX) { // Empty src1 is possible on soft_max, but the shader needs a buffer - ggml_vk_sync_buffers(s.buffer, { { *d_X, x_buf_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else if (use_src1) { - ggml_vk_sync_buffers(s.buffer, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); } else { - ggml_vk_sync_buffers(s.buffer, { { *d_X, x_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, false); - ggml_vk_dispatch_pipeline(s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); } if (dst->backend == GGML_BACKEND_CPU) { - vk_semaphore * fsem = ggml_vk_create_binary_semaphore(); - ggml_vk_end_submission(s, std::move(transfer_semaphores), { *fsem }); - extra->comp_seqs.push_back({ s }); - // copy dst to host - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, d_buf_offset + d_offset, (char *) dst->data + i02*nb2 + i03*nb3, d_sz, vk_device.transfer_queue, { *fsem }, {}, nullptr, &extra->out_memcpys)); - } else { - ggml_vk_end_submission(s, std::move(transfer_semaphores), {}); - extra->comp_seqs.push_back({ s }); + ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset + d_offset, (char *) dst->data + i02*nb2 + i03*nb3, d_sz, vk_device.compute_queue, &extra->out_memcpys); } } } } } -static void ggml_vk_repeat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_vk_op_f32(src0, src1, dst, GGML_OP_REPEAT, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); +static void ggml_vk_repeat(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_REPEAT, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); } -static void ggml_vk_get_rows(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_vk_op_f32(src0, src1, dst, GGML_OP_GET_ROWS, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); +static void ggml_vk_get_rows(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_GET_ROWS, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); } -static void ggml_vk_add(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_vk_op_f32(src0, src1, dst, GGML_OP_ADD, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); +static void ggml_vk_add(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_ADD, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); } -static void ggml_vk_mul(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_vk_op_f32(src0, src1, dst, GGML_OP_MUL, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); +static void ggml_vk_mul(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_MUL, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); } -static void ggml_vk_scale(const ggml_tensor * src0, ggml_tensor * dst) { - ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_SCALE, { (uint32_t)ggml_nelements(src0), 0, ((float *)dst->op_params)[0], 0.0f }); +static void ggml_vk_scale(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_SCALE, { (uint32_t)ggml_nelements(src0), 0, ((float *)dst->op_params)[0], 0.0f }); } -static void ggml_vk_sqr(const ggml_tensor * src0, ggml_tensor * dst) { - ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_SQR, { (uint32_t)ggml_nelements(src0), 0, 0.0f, 0.0f }); +static void ggml_vk_sqr(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_SQR, { (uint32_t)ggml_nelements(src0), 0, 0.0f, 0.0f }); } -static void ggml_vk_clamp(const ggml_tensor * src0, ggml_tensor * dst) { - ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_CLAMP, { (uint32_t)ggml_nelements(src0), 0, ((float *)dst->op_params)[0], ((float *)dst->op_params)[1] }); +static void ggml_vk_clamp(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_CLAMP, { (uint32_t)ggml_nelements(src0), 0, ((float *)dst->op_params)[0], ((float *)dst->op_params)[1] }); } -static void ggml_vk_cpy(const ggml_tensor * src0, ggml_tensor * dst) { +static void ggml_vk_cpy(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra; const int src0_type_size = ggml_type_size(src0->type); const int dst_type_size = ggml_type_size(dst->type); const uint32_t d_offset = (extra->offset % vk_device.properties.limits.minStorageBufferOffsetAlignment) / dst_type_size; - ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_CPY, { + ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_CPY, { (uint32_t)ggml_nelements(src0), (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, (uint32_t) dst->ne[0], (uint32_t) dst->ne[1], (uint32_t) dst->nb[0] / dst_type_size, (uint32_t) dst->nb[1] / dst_type_size, (uint32_t) dst->nb[2] / dst_type_size, @@ -2990,27 +2895,27 @@ static void ggml_vk_cpy(const ggml_tensor * src0, ggml_tensor * dst) { }); } -static void ggml_vk_norm(const ggml_tensor * src0, ggml_tensor * dst) { - ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_NORM, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], 0.0f, 0.0f }); +static void ggml_vk_norm(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_NORM, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], 0.0f, 0.0f }); } -static void ggml_vk_rms_norm(const ggml_tensor * src0, ggml_tensor * dst) { - ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_RMS_NORM, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], ((float *)dst->op_params)[0], 0.0f }); +static void ggml_vk_rms_norm(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_RMS_NORM, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], ((float *)dst->op_params)[0], 0.0f }); } -static void ggml_vk_unary(const ggml_tensor * src0, ggml_tensor * dst) { - ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_UNARY, { (uint32_t)ggml_nelements(src0), 0, 0.0f, 0.0f }); +static void ggml_vk_unary(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_UNARY, { (uint32_t)ggml_nelements(src0), 0, 0.0f, 0.0f }); } -static void ggml_vk_diag_mask_inf(const ggml_tensor * src0, ggml_tensor * dst) { - ggml_vk_op_f32(src0, nullptr, dst, GGML_OP_DIAG_MASK_INF, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], ((int32_t *)dst->op_params)[0] }); +static void ggml_vk_diag_mask_inf(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { + ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_DIAG_MASK_INF, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], ((int32_t *)dst->op_params)[0] }); } -static void ggml_vk_soft_max(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_vk_op_f32(src0, src1, dst, GGML_OP_SOFT_MAX, { (uint32_t)src0->ne[0], (uint32_t)(src1 != nullptr ? ggml_nrows(src1) : 0), ((float *)dst->op_params)[0], 0.0f }); +static void ggml_vk_soft_max(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { + ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_SOFT_MAX, { (uint32_t)src0->ne[0], (uint32_t)(src1 != nullptr ? ggml_nrows(src1) : 0), ((float *)dst->op_params)[0], 0.0f }); } -static void ggml_vk_rope(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_rope(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { const int n_dims = ((int32_t *) dst->op_params)[1]; const int mode = ((int32_t *) dst->op_params)[2]; const int n_ctx = ((int32_t *) dst->op_params)[3]; @@ -3031,16 +2936,17 @@ static void ggml_vk_rope(const ggml_tensor * src0, const ggml_tensor * src1, ggm float corr_dims[2]; ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims); - ggml_vk_op_f32(src0, src1, dst, GGML_OP_ROPE, { (uint32_t)src0->ne[0], freq_scale, (uint32_t)src0->ne[1], freq_base, ext_factor, attn_factor, corr_dims[0], corr_dims[1], 0.0f, 0.0f }); + ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_ROPE, { (uint32_t)src0->ne[0], freq_scale, (uint32_t)src0->ne[1], freq_base, ext_factor, attn_factor, corr_dims[0], corr_dims[1], 0.0f, 0.0f }); } -static void ggml_vk_nop(const ggml_tensor * src0, ggml_tensor * dst) { +static void ggml_vk_nop(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { // If backend is CPU, data from src0 has to be copied off the device if (dst->backend == GGML_BACKEND_CPU) { ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra; ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; vk_buffer * d_D = extra_src0->buffer_gpu; - extra->out_seqs.push_back(ggml_vk_buffer_read_async(d_D, 0, dst->data, d_D->size, vk_device.transfer_queue, {}, {}, nullptr, &extra->out_memcpys)); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, 0, VK_WHOLE_SIZE } }, vk_device.compute_queue, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eTransferRead, true); + ggml_vk_buffer_read_async(ctx, d_D, 0, dst->data, d_D->size, vk_device.compute_queue, &extra->out_memcpys); } } @@ -3710,20 +3616,6 @@ static ggml_tensor * ggml_vk_find_last_use(const ggml_tensor * node, ggml_cgraph return nullptr; } -static void ggml_vk_realign_tensor(ggml_tensor * tensor) { - ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; - GGML_ASSERT(extra != nullptr); - - std::array order; - ggml_vk_tensor_stride_order(tensor, order); - - tensor->nb[order[2]] = ggml_vk_align_size(std::max(extra->tensor_size / tensor->ne[order[3]] / tensor->ne[order[2]], tensor->nb[order[1]]*tensor->ne[order[1]]), vk_device.properties.limits.minStorageBufferOffsetAlignment); - - for (int i = 3; i < GGML_MAX_DIMS; i++) { - tensor->nb[order[i]] = tensor->nb[order[i - 1]]*tensor->ne[order[i - 1]]; - } -} - void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ #ifdef VK_DEBUG std::cerr << "ggml_vk_preallocate_buffers_graph(" << node << ")" << std::endl; @@ -4026,7 +3918,7 @@ void ggml_vk_preallocate_buffers() { } } -void ggml_vk_build_graph(ggml_tensor * node, ggml_cgraph * graph){ +void ggml_vk_build_graph(ggml_tensor * node){ const bool any_on_device = node->backend == GGML_BACKEND_GPU || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) || (node->src[1] != nullptr && node->src[1]->backend == GGML_BACKEND_GPU); @@ -4054,54 +3946,59 @@ void ggml_vk_build_graph(ggml_tensor * node, ggml_cgraph * graph){ extra->buffer_gpu = &vk_prealloc_d_buffers[extra->d_idx]; } + if (vk_ctx == nullptr) { + vk_ctx = ggml_vk_create_context(); + ggml_vk_ctx_begin(*vk_ctx, vk_device.compute_queue); + } + switch (node->op) { case GGML_OP_REPEAT: - ggml_vk_repeat(src0, src1, node); + ggml_vk_repeat(*vk_ctx, src0, src1, node); break; case GGML_OP_GET_ROWS: - ggml_vk_get_rows(src0, src1, node); + ggml_vk_get_rows(*vk_ctx, src0, src1, node); break; case GGML_OP_ADD: - ggml_vk_add(src0, src1, node); + ggml_vk_add(*vk_ctx, src0, src1, node); break; case GGML_OP_MUL: - ggml_vk_mul(src0, src1, node); + ggml_vk_mul(*vk_ctx, src0, src1, node); break; case GGML_OP_SCALE: - ggml_vk_scale(src0, node); + ggml_vk_scale(*vk_ctx, src0, node); break; case GGML_OP_SQR: - ggml_vk_sqr(src0, node); + ggml_vk_sqr(*vk_ctx, src0, node); break; case GGML_OP_CLAMP: - ggml_vk_clamp(src0, node); + ggml_vk_clamp(*vk_ctx, src0, node); break; case GGML_OP_CPY: case GGML_OP_CONT: case GGML_OP_DUP: - ggml_vk_cpy(src0, node); + ggml_vk_cpy(*vk_ctx, src0, node); break; case GGML_OP_RESHAPE: case GGML_OP_VIEW: case GGML_OP_PERMUTE: case GGML_OP_TRANSPOSE: - ggml_vk_nop(src0, node); + ggml_vk_nop(*vk_ctx, src0, node); break; case GGML_OP_NORM: - ggml_vk_norm(src0, node); + ggml_vk_norm(*vk_ctx, src0, node); break; case GGML_OP_RMS_NORM: - ggml_vk_rms_norm(src0, node); + ggml_vk_rms_norm(*vk_ctx, src0, node); break; case GGML_OP_UNARY: @@ -4109,26 +4006,26 @@ void ggml_vk_build_graph(ggml_tensor * node, ggml_cgraph * graph){ case GGML_UNARY_OP_SILU: case GGML_UNARY_OP_GELU: case GGML_UNARY_OP_RELU: - ggml_vk_unary(src0, node); + ggml_vk_unary(*vk_ctx, src0, node); break; default: return; } break; case GGML_OP_DIAG_MASK_INF: - ggml_vk_diag_mask_inf(src0, node); + ggml_vk_diag_mask_inf(*vk_ctx, src0, node); break; case GGML_OP_SOFT_MAX: - ggml_vk_soft_max(src0, src1, node); + ggml_vk_soft_max(*vk_ctx, src0, src1, node); break; case GGML_OP_ROPE: - ggml_vk_rope(src0, src1, node); + ggml_vk_rope(*vk_ctx, src0, src1, node); break; case GGML_OP_MUL_MAT: - ggml_vk_mul_mat(src0, src1, node); + ggml_vk_mul_mat(*vk_ctx, src0, src1, node); break; default: @@ -4140,6 +4037,13 @@ void ggml_vk_build_graph(ggml_tensor * node, ggml_cgraph * graph){ } extra->ready = true; + extra->ctx_idx = vk_ctx->idx; + + if (node->backend == GGML_BACKEND_CPU) { + ggml_vk_ctx_end(*vk_ctx); + vk_ctx->exit_tensor = node; + vk_ctx = nullptr; + } } bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor){ @@ -4219,19 +4123,23 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) GGML_ASSERT(extra->ready); - if (!extra->out_seqs.empty() || !extra->comp_seqs.empty()) { - // Do staging buffer copies - for (auto& cpy : extra->in_memcpys) { - memcpy(cpy.dst, cpy.src, cpy.n); - } - ggml_vk_submit(vk_device.transfer_queue, extra->in_seqs, VK_NULL_HANDLE); - if (extra->out_seqs.empty()) { - ggml_vk_submit(vk_device.compute_queue, extra->comp_seqs, vk_fence); - } else { - ggml_vk_submit(vk_device.compute_queue, extra->comp_seqs, VK_NULL_HANDLE); - ggml_vk_submit(vk_device.transfer_queue, extra->out_seqs, vk_fence); - } + // Do staging buffer copies + for (auto& cpy : extra->in_memcpys) { + memcpy(cpy.dst, cpy.src, cpy.n); + } + // Trigger staging events if any exists + if (extra->in0_staging_event != VK_NULL_HANDLE) { + vk_device.device.setEvent(extra->in0_staging_event); + } + if (extra->in1_staging_event != VK_NULL_HANDLE) { + vk_device.device.setEvent(extra->in1_staging_event); + } + + vk_context& ctx = vk_gc.contexts[extra->ctx_idx]; + ggml_vk_submit(vk_device.compute_queue, ctx.seqs, vk_fence); + + if (tensor == ctx.exit_tensor) { VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "ggml_vk_compute_forward waitForFences"); vk_device.device.resetFences({ vk_fence }); @@ -4239,11 +4147,11 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) for (auto& cpy : extra->out_memcpys) { memcpy(cpy.dst, cpy.src, cpy.n); } - - extra->in_memcpys.clear(); extra->out_memcpys.clear(); } + extra->in_memcpys.clear(); + extra->ready = false; return true; @@ -4283,6 +4191,9 @@ void ggml_vk_graph_cleanup() { } vk_staging_offset = 0; + + vk_ctx = nullptr; + vk_gc.contexts.clear(); } void ggml_vk_cleanup() { diff --git a/ggml-vulkan.h b/ggml-vulkan.h index 85b383accf543..0461943bc960c 100644 --- a/ggml-vulkan.h +++ b/ggml-vulkan.h @@ -11,7 +11,7 @@ GGML_API void ggml_vk_init(void); GGML_API void ggml_vk_preallocate_buffers_graph(struct ggml_tensor * node, struct ggml_cgraph * graph); GGML_API void ggml_vk_preallocate_buffers(void); -GGML_API void ggml_vk_build_graph(struct ggml_tensor * node, struct ggml_cgraph * graph); +GGML_API void ggml_vk_build_graph(struct ggml_tensor * node); GGML_API bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor); #ifdef GGML_VULKAN_CHECK_RESULTS void ggml_vk_check_results_0(struct ggml_compute_params * params, struct ggml_tensor * tensor); diff --git a/llama.cpp b/llama.cpp index f6c5c544a97a0..9f4bf1355369e 100644 --- a/llama.cpp +++ b/llama.cpp @@ -6803,7 +6803,7 @@ static int llama_decode_internal( ggml_vk_preallocate_buffers(); for (int i = 0; i < gf->n_nodes; i++) { - ggml_vk_build_graph(gf->nodes[i], gf); + ggml_vk_build_graph(gf->nodes[i]); } // HACK: ggml-alloc may change the tensor backend when reusing a parent, so force output to be on the CPU here if needed From 02d2e38949a54abe5162af8741264dfe9c5dfe7e Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 17 Jan 2024 06:27:40 +0100 Subject: [PATCH 120/142] Fix missing event cast --- ggml-vulkan.cpp | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 1ebaf4d4e6d0d..2d35078470d7e 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -4128,10 +4128,10 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) memcpy(cpy.dst, cpy.src, cpy.n); } // Trigger staging events if any exists - if (extra->in0_staging_event != VK_NULL_HANDLE) { + if (extra->in0_staging_event != (vk::Event) VK_NULL_HANDLE) { vk_device.device.setEvent(extra->in0_staging_event); } - if (extra->in1_staging_event != VK_NULL_HANDLE) { + if (extra->in1_staging_event != (vk::Event) VK_NULL_HANDLE) { vk_device.device.setEvent(extra->in1_staging_event); } From 1811c4ec9bbd9e1273805b39e028f5cdaad63ceb Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Thu, 18 Jan 2024 19:34:21 +0100 Subject: [PATCH 121/142] Replace uint64_t(-1) with UINT64_MAX, rename function for clarity --- ggml-vulkan.cpp | 33 ++++++++++++++++++--------------- 1 file changed, 18 insertions(+), 15 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 1da12b1c7563c..ff676a71e586c 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1576,7 +1576,7 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * ggml_vk_buffer_write_2d_async(*ctx, dst, offset, src, spitch, width, height, q, nullptr, nullptr, true); ggml_vk_ctx_end(*ctx); ggml_vk_submit(q, ctx->seqs, vk_fence); - VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "vk_buffer_write_2d waitForFences"); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_buffer_write_2d waitForFences"); vk_device.device.resetFences({ vk_fence }); } } @@ -1676,7 +1676,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ ggml_vk_buffer_read_async(*ctx, src, offset, dst, size, q, &staging); ggml_vk_ctx_end(*ctx); ggml_vk_submit(q, ctx->seqs, vk_fence); - VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "vk_buffer_read waitForFences"); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_buffer_read waitForFences"); vk_device.device.resetFences({ vk_fence }); for (auto& cpy : staging) { @@ -1696,7 +1696,7 @@ static void ggml_vk_buffer_copy(vk_buffer * dst, size_t dst_offset, vk_buffer * vkCmdCopyBuffer(ctx->s->buffer, src->buffer, dst->buffer, 1, &bc); ggml_vk_ctx_end(*ctx); ggml_vk_submit(q, ctx->seqs, vk_fence); - VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "vk_buffer_copy waitForFences"); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_buffer_copy waitForFences"); vk_device.device.resetFences({ vk_fence }); } @@ -1713,7 +1713,7 @@ static void ggml_vk_buffer_memset(vk_buffer* dst, size_t offset, uint32_t c, siz std::vector s = { { submission } }; ggml_vk_submit(q, s, vk_fence); - VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "vk_memset waitForFences"); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_memset waitForFences"); vk_device.device.resetFences({ vk_fence }); } @@ -3425,7 +3425,7 @@ void ggml_vk_test_transfer(size_t ne, bool pinned) { ggml_vk_submit(vk_device.transfer_queue, seqs, vk_fence); - VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "ggml_vk_compute_forward waitForFences"); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "ggml_vk_compute_forward waitForFences"); vk_device.device.resetFences({ vk_fence }); auto end = std::chrono::high_resolution_clock::now(); @@ -3438,7 +3438,7 @@ void ggml_vk_test_transfer(size_t ne, bool pinned) { ggml_vk_submit(vk_device.transfer_queue, seqs, vk_fence); - VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "ggml_vk_compute_forward waitForFences"); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "ggml_vk_compute_forward waitForFences"); vk_device.device.resetFences({ vk_fence }); for (auto& cpy : memcpys) { @@ -3578,9 +3578,9 @@ static size_t ggml_vk_tensor_size(const ggml_tensor * tensor) { return tensor->ne[order[3]]*tensor->nb[order[3]]; } -static void ggml_vk_preallocate_buffers(ggml_tensor * tensor, size_t d_size, size_t qx_size, size_t qy_size, size_t x_size, size_t y_size, size_t split_k_size, int inplace_d, size_t staging_size) { +static void ggml_vk_preallocate_buffers_reserve(ggml_tensor * tensor, size_t d_size, size_t qx_size, size_t qy_size, size_t x_size, size_t y_size, size_t split_k_size, int inplace_d, size_t staging_size) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_preallocate_buffers(tensor=" << tensor << ", d_size=" << d_size << ", qx_size=" << qx_size << ", qy_size=" << qy_size << ", x_size=" << x_size << ", y_size=" << y_size << ", split_k_size=" << split_k_size << ", inplace_d=" << inplace_d << ", staging_size=" << staging_size << ")" << std::endl; + std::cerr << "ggml_vk_preallocate_buffers_reserve(tensor=" << tensor << ", d_size=" << d_size << ", qx_size=" << qx_size << ", qy_size=" << qy_size << ", x_size=" << x_size << ", y_size=" << y_size << ", split_k_size=" << split_k_size << ", inplace_d=" << inplace_d << ", staging_size=" << staging_size << ")" << std::endl; #endif ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; GGML_ASSERT(extra != nullptr); @@ -3740,17 +3740,17 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ switch (node->op) { case GGML_OP_REPEAT: - ggml_vk_preallocate_buffers(node, d_sz, qx_sz, 0, 0, 0, 0, inplace, qx_sz); + ggml_vk_preallocate_buffers_reserve(node, d_sz, qx_sz, 0, 0, 0, 0, inplace, qx_sz); break; case GGML_OP_GET_ROWS: - ggml_vk_preallocate_buffers(node, d_sz, 0, 0, 0, 0, 0, inplace, 0); + ggml_vk_preallocate_buffers_reserve(node, d_sz, 0, 0, 0, 0, 0, inplace, 0); break; case GGML_OP_RESHAPE: case GGML_OP_VIEW: case GGML_OP_PERMUTE: case GGML_OP_TRANSPOSE: - ggml_vk_preallocate_buffers(node, 0, 0, 0, 0, 0, 0, inplace, 0); + ggml_vk_preallocate_buffers_reserve(node, 0, 0, 0, 0, 0, 0, inplace, 0); break; case GGML_OP_ADD: case GGML_OP_SCALE: @@ -3765,21 +3765,21 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ case GGML_OP_DIAG_MASK_INF: case GGML_OP_SOFT_MAX: case GGML_OP_ROPE: - ggml_vk_preallocate_buffers(node, d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, 0, 0, 0, inplace, qx_sz + qy_sz); + ggml_vk_preallocate_buffers_reserve(node, d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, 0, 0, 0, inplace, qx_sz + qy_sz); break; case GGML_OP_UNARY: switch (ggml_get_unary_op(node)) { case GGML_UNARY_OP_SILU: case GGML_UNARY_OP_GELU: case GGML_UNARY_OP_RELU: - ggml_vk_preallocate_buffers(node, d_sz, transfer_src0 ? qx_sz : 0, 0, 0, 0, 0, inplace, qx_sz); + ggml_vk_preallocate_buffers_reserve(node, d_sz, transfer_src0 ? qx_sz : 0, 0, 0, 0, 0, inplace, qx_sz); break; default: return; } break; case GGML_OP_MUL_MAT: - ggml_vk_preallocate_buffers(node, d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, qx_needs_dequant ? x_sz : 0, qy_needs_dequant ? y_sz : 0, split_k > 1 ? d_sz * 4 : 0, inplace, qx_sz + qy_sz); + ggml_vk_preallocate_buffers_reserve(node, d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, qx_needs_dequant ? x_sz : 0, qy_needs_dequant ? y_sz : 0, split_k > 1 ? d_sz * 4 : 0, inplace, qx_sz + qy_sz); break; default: return; @@ -4167,7 +4167,7 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) ggml_vk_submit(vk_device.compute_queue, ctx.seqs, vk_fence); if (tensor == ctx.exit_tensor) { - VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, uint64_t(-1)), "ggml_vk_compute_forward waitForFences"); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "ggml_vk_compute_forward waitForFences"); vk_device.device.resetFences({ vk_fence }); // Do staging buffer copies @@ -4399,6 +4399,9 @@ GGML_CALL static const char * ggml_backend_vk_buffer_type_name(ggml_backend_buff } GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) { +#ifdef VK_DEBUG + std::cerr << "ggml_backend_vk_buffer_type_alloc_buffer(" << size << ")" << std::endl; +#endif // vk_buffer dev_buffer = ggml_vk_create_buffer(size, vk::MemoryPropertyFlagBits::eDeviceLocal); ggml_backend_vk_buffer_context * ctx = new ggml_backend_vk_buffer_context(); From f84c54fe232b9e8ce6cd88f492d705783d61d3ce Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Thu, 18 Jan 2024 19:34:56 +0100 Subject: [PATCH 122/142] Fix warning about empty C function parameters --- ggml-vulkan.h | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/ggml-vulkan.h b/ggml-vulkan.h index 9e516c2264aa8..6ae010f8bb05f 100644 --- a/ggml-vulkan.h +++ b/ggml-vulkan.h @@ -35,13 +35,11 @@ GGML_API void ggml_vk_cleanup(void); GGML_API bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, const struct ggml_tensor * dst); // backend API -GGML_API GGML_CALL ggml_backend_t ggml_backend_vk_init(); +GGML_API GGML_CALL ggml_backend_t ggml_backend_vk_init(void); GGML_API GGML_CALL bool ggml_backend_is_vk(ggml_backend_t backend); -GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_buffer_type(); -// split tensor buffer that splits matrices by rows across multiple devices -GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_split_buffer_type(const float * tensor_split); +GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_buffer_type(void); // pinned host buffer for use with the CPU backend for faster copies between CPU and GPU GGML_API GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_host_buffer_type(void); From c0f3474ed513495d74d409df77cb6be011482405 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Thu, 18 Jan 2024 20:44:00 +0100 Subject: [PATCH 123/142] Fix compiler warnings --- ggml-vulkan.cpp | 343 +++++++++++++++++++++++++----------------------- 1 file changed, 182 insertions(+), 161 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index ff676a71e586c..fa79df127b1ee 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -197,6 +197,22 @@ struct ggml_tensor_extra_gpu { uint64_t view_offset; bool prepared; + + void reset() { + ready = false; + in_memcpys.clear(); + out_memcpys.clear(); + in0_staging_event = (vk::Event) VK_NULL_HANDLE; + in1_staging_event = (vk::Event) VK_NULL_HANDLE; + ctx_idx = 0; + d_idx = 0; + tensor_size = 0; + buffer_static = 0; + buffer_gpu = nullptr; + base_buffer_offset = 0; + view_offset = 0; + prepared = false; + } }; struct ggml_vk_garbage_collector { @@ -1397,19 +1413,19 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ // Memory is pinned, use as staging buffer std::vector slices; - for (int64_t i3 = 0; i3 < ne3; i3++) { - for (int64_t i2 = 0; i2 < ne2; i2++) { + for (uint64_t i3 = 0; i3 < ne3; i3++) { + for (uint64_t i2 = 0; i2 < ne2; i2++) { // Find longest contiguous slice if (ne1*nb1 == dstnb2) { slices.push_back({ buf_offset + i3*nb3 + i2*nb2, offset + i3*dstnb3 + i2*dstnb2, dstnb2 }); } else { - for (int64_t i1 = 0; i1 < ne1; i1++) { + for (uint64_t i1 = 0; i1 < ne1; i1++) { if (ne0*nb0/bs == dstnb1) { slices.push_back({ buf_offset + i3*nb3 + i2*nb2 + i1*nb1, offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1, dstnb1 }); } else { - const size_t s_off = buf_offset + i3*nb3 + i2*nb2 + i1*nb1; - const size_t d_off = offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1; - for (size_t i0 = 0; i0 < ne0; i0++) { + const uint64_t s_off = buf_offset + i3*nb3 + i2*nb2 + i1*nb1; + const uint64_t d_off = offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1; + for (uint64_t i0 = 0; i0 < ne0; i0++) { slices.push_back({ s_off + i1*nb0, d_off + i0*dstnb0, dstnb0 }); } } @@ -1445,19 +1461,19 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, true); vkCmdCopyBuffer(ctx.s->buffer, vk_staging.buffer, dst->buffer, 1, &buf_copy); - for (int64_t i3 = 0; i3 < ne3; i3++) { - for (int64_t i2 = 0; i2 < ne2; i2++) { + for (uint64_t i3 = 0; i3 < ne3; i3++) { + for (uint64_t i2 = 0; i2 < ne2; i2++) { // Find longest contiguous slice if (ne1*nb1 == dstnb2) { deferred_memcpy((uint8_t *)vk_staging.ptr + vk_staging_offset + i3*dstnb3 + i2*dstnb2, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2, dstnb2, memcpys); } else { - for (int64_t i1 = 0; i1 < ne1; i1++) { + for (uint64_t i1 = 0; i1 < ne1; i1++) { if (ne0*nb0/bs == dstnb1) { deferred_memcpy((uint8_t *)vk_staging.ptr + vk_staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2 + i1*nb1, dstnb1, memcpys); } else { - const size_t s_off = buf_offset + i3*nb3 + i2*nb2 + i1*nb1; - const size_t d_off = vk_staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1; - for (size_t i0 = 0; i0 < ne0; i0++) { + const uint64_t s_off = buf_offset + i3*nb3 + i2*nb2 + i1*nb1; + const uint64_t d_off = vk_staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1; + for (uint64_t i0 = 0; i0 < ne0; i0++) { deferred_memcpy((uint8_t *)vk_staging.ptr + d_off + i0*dstnb0, (const uint8_t *) tensor->data + s_off + i0*nb0, dstnb0, memcpys); } } @@ -1742,7 +1758,7 @@ static void ggml_vk_h2d_tensor_2d(vk_context& ctx, vk_buffer * dst, size_t offse GGML_ASSERT(i3 == 0); GGML_ASSERT(i2 == 0); - GGML_ASSERT(i1 == ggml_nrows(src)); + GGML_ASSERT(i1 == (uint64_t) ggml_nrows(src)); return ggml_vk_buffer_write_nc_async(ctx, dst, offset, src, q, memcpys, event); } @@ -1757,8 +1773,8 @@ static void ggml_vk_d2h_tensor_2d(vk_context& ctx, vk_buffer * src, size_t offse const uint64_t ne3 = dst->ne[3]; const uint64_t nb0 = dst->nb[0]; const uint64_t nb1 = dst->nb[1]; - const uint64_t nb2 = dst->nb[2]; - const uint64_t nb3 = dst->nb[3]; + // const uint64_t nb2 = dst->nb[2]; + // const uint64_t nb3 = dst->nb[3]; const enum ggml_type type = dst->type; const size_t ts = ggml_type_size(type); const size_t bs = ggml_blck_size(type); @@ -1773,7 +1789,7 @@ static void ggml_vk_d2h_tensor_2d(vk_context& ctx, vk_buffer * src, size_t offse GGML_ASSERT(false); } -static int ggml_vk_guess_split_k(int m, int n, int k, bool aligned) { +static uint32_t ggml_vk_guess_split_k(int m, int n, int k, bool aligned) { #ifdef VK_DEBUG std::cerr << "ggml_vk_guess_split_k(" << m << ", " << n << ", " << k << ", " << aligned << ")"; #endif @@ -1958,9 +1974,6 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con const uint64_t ne20 = dst->ne[0]; const uint64_t ne21 = dst->ne[1]; - const size_t nb2 = dst->nb[2]; - const size_t nb3 = dst->nb[3]; - const uint64_t r2 = ne12 / ne02; const uint64_t r3 = ne13 / ne03; @@ -1984,10 +1997,10 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con const int y_ne = ne11 * ne10; const int d_ne = ne11 * ne01; - const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); + const uint32_t kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); const bool aligned = ne10 == kpad; - const int split_k = ggml_vk_guess_split_k(ne01, ne11, ne10, aligned); + const uint32_t split_k = ggml_vk_guess_split_k(ne01, ne11, ne10, aligned); vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, !f16_f32_kernel, ne01, ne11, aligned); @@ -1998,13 +2011,6 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con const uint64_t split_k_d_sz = sizeof(float) * d_ne * split_k; const uint64_t d_sz = sizeof(float) * d_ne; - if (dst->backend == GGML_BACKEND_GPU) { - if (d_sz != nb2) { - std::cerr << "ERROR: incompatible tensor alignment d_sz=" << d_sz << " nb2=" << nb2 << std::endl; - GGML_ASSERT(false); - } - } - ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra; ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra; @@ -2014,9 +2020,9 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con GGML_ASSERT(d_D != nullptr); GGML_ASSERT(d_D->size >= d_buf_offset + d_sz * ne02 * ne03); vk_buffer* d_Qx; - uint32_t qx_buf_offset = 0; + uint64_t qx_buf_offset = 0; vk_buffer* d_Qy; - uint32_t qy_buf_offset = 0; + uint64_t qy_buf_offset = 0; vk_buffer* d_X; uint64_t x_buf_offset = 0; vk_buffer* d_Y; @@ -2134,23 +2140,23 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, GGML_ASSERT(ggml_vk_dim01_contiguous(src0) || src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16); // NOLINT GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16); // NOLINT - const int64_t ne00 = src0->ne[0]; - const int64_t ne01 = src0->ne[1]; - const int64_t ne02 = src0->ne[2]; - const int64_t ne03 = src0->ne[3]; + const uint64_t ne00 = src0->ne[0]; + const uint64_t ne01 = src0->ne[1]; + const uint64_t ne02 = src0->ne[2]; + const uint64_t ne03 = src0->ne[3]; - const int64_t ne10 = src1->ne[0]; - const int64_t ne11 = src1->ne[1]; - const int64_t ne12 = src1->ne[2]; - const int64_t ne13 = src1->ne[3]; + const uint64_t ne10 = src1->ne[0]; + const uint64_t ne11 = src1->ne[1]; + const uint64_t ne12 = src1->ne[2]; + const uint64_t ne13 = src1->ne[3]; GGML_ASSERT(ne11 == 1); - const int nb2 = dst->nb[2]; - const int nb3 = dst->nb[3]; + const uint64_t nb2 = dst->nb[2]; + const uint64_t nb3 = dst->nb[3]; - const int64_t r2 = ne12 / ne02; - const int64_t r3 = ne13 / ne03; + const uint64_t r2 = ne12 / ne02; + const uint64_t r3 = ne13 / ne03; const bool load_x = src0->backend != GGML_BACKEND_GPU; const bool load_y = src1->backend != GGML_BACKEND_GPU; @@ -2164,9 +2170,9 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, const bool qx_needs_dequant = x_non_contig; const bool qy_needs_dequant = (src1->type != GGML_TYPE_F16 && !f16_f32_kernel) || y_non_contig; - const int x_ne = ne01 * ne00; - const int y_ne = ne11 * ne10; - const int d_ne = ne11 * ne01; + const uint64_t x_ne = ne01 * ne00; + const uint64_t y_ne = ne11 * ne10; + const uint64_t d_ne = ne11 * ne01; const uint64_t qx_sz = ggml_vk_align_size(ggml_type_size(src0->type) * x_ne / ggml_blck_size(src0->type), vk_device.properties.limits.minStorageBufferOffsetAlignment); const uint64_t qy_sz = ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type); @@ -2256,23 +2262,23 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, ggml_vk_h2d_tensor_2d(ctx, d_Qy, 0, src1, 0, 0, ggml_nrows(src1), compq, &extra->in_memcpys, &extra->in1_staging_event); } - for (int64_t i13 = 0; i13 < ne13; i13++) { - const int64_t i03 = i13 / r3; - for (int64_t i12 = 0; i12 < ne12; i12++) { - const int64_t i02 = i12 / r2; + for (uint64_t i13 = 0; i13 < ne13; i13++) { + const uint64_t i03 = i13 / r3; + for (uint64_t i12 = 0; i12 < ne12; i12++) { + const uint64_t i02 = i12 / r2; - const uint32_t it_idx0 = (i03 * ne02 + i02); - const uint32_t it_idx1 = (i13 * ne12 + i12); - const uint32_t x_offset = x_buf_offset + x_sz * it_idx0; - const uint32_t qy_offset = qy_buf_offset + qy_sz * it_idx1; - const uint32_t y_offset = y_buf_offset + y_sz * it_idx1; - const uint32_t d_offset = d_buf_offset + d_sz * it_idx1; + const uint64_t it_idx0 = (i03 * ne02 + i02); + const uint64_t it_idx1 = (i13 * ne12 + i12); + const uint64_t x_offset = x_buf_offset + x_sz * it_idx0; + const uint64_t qy_offset = qy_buf_offset + qy_sz * it_idx1; + const uint64_t y_offset = y_buf_offset + y_sz * it_idx1; + const uint64_t d_offset = d_buf_offset + d_sz * it_idx1; - const uint32_t y_buffer_offset = (y_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; - const uint32_t y_shader_offset = y_offset - y_buffer_offset; + const uint64_t y_buffer_offset = (y_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint64_t y_shader_offset = y_offset - y_buffer_offset; - const uint32_t d_buffer_offset = (d_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; - const uint32_t d_shader_offset = d_offset - d_buffer_offset; + const uint64_t d_buffer_offset = (d_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint64_t d_shader_offset = d_offset - d_buffer_offset; if (!y_non_contig && qy_needs_dequant) { const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; @@ -2310,21 +2316,18 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor GGML_ASSERT(src0->type == GGML_TYPE_F16); GGML_ASSERT(src1->type == GGML_TYPE_F32); - const int64_t ne00 = src0->ne[0]; - const int64_t ne01 = src0->ne[1]; - const int64_t ne02 = src0->ne[2]; - const int64_t ne03 = src0->ne[3]; + const uint64_t ne00 = src0->ne[0]; + const uint64_t ne01 = src0->ne[1]; + const uint64_t ne02 = src0->ne[2]; + // const uint64_t ne03 = src0->ne[3]; - const int64_t ne10 = src1->ne[0]; - const int64_t ne11 = src1->ne[1]; - const int64_t ne12 = src1->ne[2]; - const int64_t ne13 = src1->ne[3]; + const uint64_t ne10 = src1->ne[0]; + const uint64_t ne11 = src1->ne[1]; + const uint64_t ne12 = src1->ne[2]; + // const uint64_t ne13 = src1->ne[3]; GGML_ASSERT(ne11 == 1); - const int nb2 = dst->nb[2]; - const int nb3 = dst->nb[3]; - const bool load_y = src1->backend != GGML_BACKEND_GPU; vk_queue& compq = vk_device.compute_queue; @@ -2345,9 +2348,9 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor const uint64_t d_buf_offset = extra->base_buffer_offset + extra->view_offset; GGML_ASSERT(d_D != nullptr); vk_buffer* d_Qx; - const uint32_t qx_buf_offset = extra_src0->base_buffer_offset + extra_src0->view_offset; + const uint64_t qx_buf_offset = extra_src0->base_buffer_offset + extra_src0->view_offset; vk_buffer* d_Qy; - uint32_t qy_buf_offset = 0; + uint64_t qy_buf_offset = 0; d_Qx = extra_src0->buffer_gpu; GGML_ASSERT(d_Qx != nullptr); if (load_y) { @@ -2361,11 +2364,11 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor // Allocate descriptor sets ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_mul_mat_vec_p021_f16_f32, 1); - const uint32_t qy_buffer_offset = (qy_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; - const uint32_t qy_shader_offset = qy_buf_offset - qy_buffer_offset; + const uint64_t qy_buffer_offset = (qy_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint64_t qy_shader_offset = qy_buf_offset - qy_buffer_offset; - const uint32_t d_buffer_offset = (d_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; - const uint32_t d_shader_offset = d_buf_offset - d_buffer_offset; + const uint64_t d_buffer_offset = (d_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint64_t d_shader_offset = d_buf_offset - d_buffer_offset; if (load_y) { ggml_vk_h2d_tensor_2d(ctx, d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq, &extra->in_memcpys, &extra->in1_staging_event); @@ -2398,24 +2401,21 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * GGML_ASSERT(src0->type == GGML_TYPE_F16); GGML_ASSERT(src1->type == GGML_TYPE_F32); - const int64_t ne00 = src0->ne[0]; - const int64_t ne01 = src0->ne[1]; - const int64_t ne02 = src0->ne[2]; - const int64_t ne03 = src0->ne[3]; + const uint64_t ne00 = src0->ne[0]; + const uint64_t ne01 = src0->ne[1]; + const uint64_t ne02 = src0->ne[2]; + // const uint64_t ne03 = src0->ne[3]; - const int64_t nb01 = src0->nb[1]; - const int64_t nb02 = src0->nb[2]; + const uint64_t nb01 = src0->nb[1]; + const uint64_t nb02 = src0->nb[2]; - const int64_t ne10 = src1->ne[0]; - const int64_t ne11 = src1->ne[1]; - const int64_t ne12 = src1->ne[2]; - const int64_t ne13 = src1->ne[3]; + // const uint64_t ne10 = src1->ne[0]; + const uint64_t ne11 = src1->ne[1]; + const uint64_t ne12 = src1->ne[2]; + // const uint64_t ne13 = src1->ne[3]; GGML_ASSERT(ne11 == 1); - const int nb2 = dst->nb[2]; - const int nb3 = dst->nb[3]; - const bool load_y = src1->backend != GGML_BACKEND_GPU; vk_queue& compq = vk_device.compute_queue; @@ -2437,9 +2437,9 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * const uint64_t d_buf_offset = extra->base_buffer_offset + extra->view_offset; GGML_ASSERT(d_D != nullptr); vk_buffer* d_Qx; - const uint32_t qx_buf_offset = extra_src0->base_buffer_offset + extra_src0->view_offset; + const uint64_t qx_buf_offset = extra_src0->base_buffer_offset + extra_src0->view_offset; vk_buffer* d_Qy; - uint32_t qy_buf_offset = 0; + uint64_t qy_buf_offset = 0; d_Qx = extra_src0->buffer_gpu; GGML_ASSERT(d_Qx != nullptr); if (load_y) { @@ -2453,11 +2453,11 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * // Allocate descriptor sets ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_mul_mat_vec_nc_f16_f32, 1); - const uint32_t qy_buffer_offset = (qy_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; - const uint32_t qy_shader_offset = qy_buf_offset - qy_buffer_offset; + const uint64_t qy_buffer_offset = (qy_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint64_t qy_shader_offset = qy_buf_offset - qy_buffer_offset; - const uint32_t d_buffer_offset = (d_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; - const uint32_t d_shader_offset = d_buf_offset - d_buffer_offset; + const uint64_t d_buffer_offset = (d_buf_offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + const uint64_t d_shader_offset = d_buf_offset - d_buffer_offset; if (load_y) { ggml_vk_h2d_tensor_2d(ctx, d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq, &extra->in_memcpys, &extra->in1_staging_event); @@ -2478,10 +2478,10 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * } bool ggml_vk_can_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * dst) { - const int64_t ne10 = src1->ne[0]; + const uint64_t ne10 = src1->ne[0]; - const int64_t ne0 = dst->ne[0]; - const int64_t ne1 = dst->ne[1]; + const uint64_t ne0 = dst->ne[0]; + const uint64_t ne1 = dst->ne[1]; // TODO: find the optimal values for these return (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && @@ -2507,30 +2507,30 @@ static void ggml_vk_mul_mat(vk_context& ctx, const struct ggml_tensor * src0, co static void ggml_vk_op_repeat(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { // guaranteed to be an integer due to the check in ggml_can_repeat - const int64_t ne0 = dst->ne[0]; - const int64_t ne1 = dst->ne[1]; - const int64_t ne2 = dst->ne[2]; - const int64_t ne3 = dst->ne[3]; - - const int64_t ne00 = src0->ne[0]; - const int64_t ne01 = src0->ne[1]; - const int64_t ne02 = src0->ne[2]; - const int64_t ne03 = src0->ne[3]; - - const size_t nb0 = dst->nb[0]; - const size_t nb1 = dst->nb[1]; - const size_t nb2 = dst->nb[2]; - const size_t nb3 = dst->nb[3]; - - const size_t nb00 = src0->nb[0]; - const size_t nb01 = src0->nb[1]; - const size_t nb02 = src0->nb[2]; - const size_t nb03 = src0->nb[3]; - - const int nr0 = (int)(ne0/ne00); - const int nr1 = (int)(ne1/ne01); - const int nr2 = (int)(ne2/ne02); - const int nr3 = (int)(ne3/ne03); + const uint64_t ne0 = dst->ne[0]; + const uint64_t ne1 = dst->ne[1]; + const uint64_t ne2 = dst->ne[2]; + const uint64_t ne3 = dst->ne[3]; + + const uint64_t ne00 = src0->ne[0]; + const uint64_t ne01 = src0->ne[1]; + const uint64_t ne02 = src0->ne[2]; + const uint64_t ne03 = src0->ne[3]; + + const uint64_t nb0 = dst->nb[0]; + const uint64_t nb1 = dst->nb[1]; + const uint64_t nb2 = dst->nb[2]; + const uint64_t nb3 = dst->nb[3]; + + const uint64_t nb00 = src0->nb[0]; + const uint64_t nb01 = src0->nb[1]; + const uint64_t nb02 = src0->nb[2]; + const uint64_t nb03 = src0->nb[3]; + + const uint64_t nr0 = ne0/ne00; + const uint64_t nr1 = ne1/ne01; + const uint64_t nr2 = ne2/ne02; + const uint64_t nr3 = ne3/ne03; // TODO: support for transposed / permuted tensors GGML_ASSERT(nb0 == sizeof(float)); @@ -2548,13 +2548,13 @@ static void ggml_vk_op_repeat(vk_context& ctx, const ggml_tensor * src0, const g std::vector copies; - for (int i3 = 0; i3 < nr3; i3++) { - for (int k3 = 0; k3 < ne03; k3++) { - for (int i2 = 0; i2 < nr2; i2++) { - for (int k2 = 0; k2 < ne02; k2++) { - for (int i1 = 0; i1 < nr1; i1++) { - for (int k1 = 0; k1 < ne01; k1++) { - for (int i0 = 0; i0 < nr0; i0++) { + for (uint64_t i3 = 0; i3 < nr3; i3++) { + for (uint64_t k3 = 0; k3 < ne03; k3++) { + for (uint64_t i2 = 0; i2 < nr2; i2++) { + for (uint64_t k2 = 0; k2 < ne02; k2++) { + for (uint64_t i1 = 0; i1 < nr1; i1++) { + for (uint64_t k1 = 0; k1 < ne01; k1++) { + for (uint64_t i0 = 0; i0 < nr0; i0++) { copies.push_back({ src_offset + (i3*ne03 + k3)*nb3 + (i2*ne02 + k2)*nb2 + (i1*ne01 + k1)*nb1 + (i0*ne00)*nb0, dst_offset + ( k3)*nb03 + ( k2)*nb02 + ( k1)*nb01, @@ -2694,20 +2694,20 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml GGML_ASSERT(op == GGML_OP_CPY || ggml_vk_dim01_contiguous(src0)); // NOLINT GGML_ASSERT(src1 == nullptr || ggml_vk_dim01_contiguous(src1)); // NOLINT GGML_ASSERT(dst->extra != nullptr); - const int64_t ne00 = src0->ne[0]; - const int64_t ne01 = src0->ne[1]; - const int64_t ne02 = src0->ne[2]; - const int64_t ne03 = src0->ne[3]; - const int64_t ne0 = ne00 * ne01; + const uint64_t ne00 = src0->ne[0]; + const uint64_t ne01 = src0->ne[1]; + const uint64_t ne02 = src0->ne[2]; + const uint64_t ne03 = src0->ne[3]; + const uint64_t ne0 = ne00 * ne01; const bool use_src1 = src1 != nullptr; - const int64_t ne10 = use_src1 ? src1->ne[0] : 0; - const int64_t ne11 = use_src1 ? src1->ne[1] : 0; - const int64_t ne12 = use_src1 ? src1->ne[2] : 0; - const int64_t ne13 = use_src1 ? src1->ne[3] : 0; - const int64_t ne1 = ne10 * ne11; - const int64_t nb10 = use_src1 ? src1->nb[0] : 0; - const int nb2 = dst->nb[2]; - const int nb3 = dst->nb[3]; + const uint64_t ne10 = use_src1 ? src1->ne[0] : 0; + const uint64_t ne11 = use_src1 ? src1->ne[1] : 0; + const uint64_t ne12 = use_src1 ? src1->ne[2] : 0; + const uint64_t ne13 = use_src1 ? src1->ne[3] : 0; + const uint64_t ne1 = ne10 * ne11; + // const uint64_t nb10 = use_src1 ? src1->nb[0] : 0; + const uint64_t nb2 = dst->nb[2]; + const uint64_t nb3 = dst->nb[3]; vk_pipeline * pipeline = ggml_vk_op_get_pipeline(src0, src1, dst, op); ggml_vk_func_t op_func; @@ -2788,7 +2788,7 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml } // Single call if dimension 2 is contiguous - if (op == GGML_OP_CPY || ggml_is_contiguous(src0) && (src1 == nullptr || ggml_is_contiguous(src1))) { + if (op == GGML_OP_CPY || (ggml_is_contiguous(src0) && (src1 == nullptr || ggml_is_contiguous(src1)))) { ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, 1); switch (dst->op) { @@ -2851,8 +2851,8 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml break; } - for (int64_t i03 = 0; i03 < ne03; i03++) { - for (int64_t i02 = 0; i02 < ne02; i02++) { + for (uint64_t i03 = 0; i03 < ne03; i03++) { + for (uint64_t i02 = 0; i02 < ne02; i02++) { const uint32_t it_idx0 = (i03 * ne02 + i02); const uint32_t it_idx1 = use_src1 ? ((i03 % ne13) * ne12 + (i02 % ne12)) : 0; const uint32_t x_offset = x_sz * it_idx0; @@ -2897,7 +2897,8 @@ static void ggml_vk_mul(vk_context& ctx, const ggml_tensor * src0, const ggml_te } static void ggml_vk_scale(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { - ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_SCALE, { (uint32_t)ggml_nelements(src0), 0, ((float *)dst->op_params)[0], 0.0f }); + float * op_params = (float *)dst->op_params; + ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_SCALE, { (uint32_t)ggml_nelements(src0), 0, op_params[0], 0.0f }); } static void ggml_vk_sqr(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { @@ -2905,7 +2906,8 @@ static void ggml_vk_sqr(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * } static void ggml_vk_clamp(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { - ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_CLAMP, { (uint32_t)ggml_nelements(src0), 0, ((float *)dst->op_params)[0], ((float *)dst->op_params)[1] }); + float * op_params = (float *)dst->op_params; + ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_CLAMP, { (uint32_t)ggml_nelements(src0), 0, op_params[0], op_params[1] }); } static void ggml_vk_cpy(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { @@ -2926,7 +2928,8 @@ static void ggml_vk_norm(vk_context& ctx, const ggml_tensor * src0, ggml_tensor } static void ggml_vk_rms_norm(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { - ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_RMS_NORM, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], ((float *)dst->op_params)[0], 0.0f }); + float * op_params = (float *)dst->op_params; + ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_RMS_NORM, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], op_params[0], 0.0f }); } static void ggml_vk_unary(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { @@ -2934,17 +2937,19 @@ static void ggml_vk_unary(vk_context& ctx, const ggml_tensor * src0, ggml_tensor } static void ggml_vk_diag_mask_inf(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { - ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_DIAG_MASK_INF, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], ((int32_t *)dst->op_params)[0] }); + int32_t * op_params = (int32_t *)dst->op_params; + ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_DIAG_MASK_INF, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], op_params[0] }); } static void ggml_vk_soft_max(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { - ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_SOFT_MAX, { (uint32_t)src0->ne[0], (uint32_t)(src1 != nullptr ? ggml_nrows(src1) : 0), ((float *)dst->op_params)[0], 0.0f }); + float * op_params = (float *)dst->op_params; + ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_SOFT_MAX, { (uint32_t)src0->ne[0], (uint32_t)(src1 != nullptr ? ggml_nrows(src1) : 0), op_params[0], 0.0f }); } static void ggml_vk_rope(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { const int n_dims = ((int32_t *) dst->op_params)[1]; const int mode = ((int32_t *) dst->op_params)[2]; - const int n_ctx = ((int32_t *) dst->op_params)[3]; + // const int n_ctx = ((int32_t *) dst->op_params)[3]; const int n_orig_ctx = ((int32_t *) dst->op_params)[4]; const float freq_base = ((float *) dst->op_params)[5]; const float freq_scale = ((float *) dst->op_params)[6]; @@ -3481,7 +3486,7 @@ static void ggml_vk_transform_tensor(const void * data, ggml_tensor * tensor, bo ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; if (extra == nullptr) { extra = new ggml_tensor_extra_gpu; - memset((void *) extra, 0, sizeof(ggml_tensor_extra_gpu)); + extra->reset(); tensor->extra = extra; } @@ -3514,7 +3519,7 @@ void ggml_vk_assign_buffer(ggml_tensor * tensor) { GGML_ASSERT(tensor->extra == nullptr); ggml_tensor_extra_gpu * extra = new ggml_tensor_extra_gpu; - memset((void *) extra, 0, sizeof(ggml_tensor_extra_gpu)); + extra->reset(); tensor->extra = extra; extra->buffer_gpu = new vk_buffer; @@ -3528,8 +3533,7 @@ static void ggml_vk_tensor_create_extra(ggml_tensor * tensor) { std::cerr << "ggml_vk_create_extra(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))" << std::endl; #endif ggml_tensor_extra_gpu * extra = new ggml_tensor_extra_gpu; - memset((void *) extra, 0, sizeof(ggml_tensor_extra_gpu)); - extra->d_idx = -1; + extra->reset(); tensor->extra = extra; } @@ -3689,7 +3693,7 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ const bool qvec_kernel = use_src0 && use_src1 && src1->ne[1] == 1 && (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)); const bool qx_needs_dequant = use_src0 && !qvec_kernel && !x_non_contig && (src0->type != GGML_TYPE_F16 || x_non_contig); const bool f16_f32_kernel = use_src1 && src1->type == GGML_TYPE_F32; - const bool qy_needs_dequant = use_src1 && (src1->type != GGML_TYPE_F16 && !f16_f32_kernel) || y_non_contig; + const bool qy_needs_dequant = (use_src1 && (src1->type != GGML_TYPE_F16 && !f16_f32_kernel)) || y_non_contig; int split_k; if (node->op == GGML_OP_MUL_MAT) { @@ -3923,8 +3927,6 @@ void ggml_vk_build_graph(ggml_tensor * node, bool last_node){ const ggml_tensor * src1 = node->src[1]; ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) node->extra; - ggml_tensor_extra_gpu * src0_extra = src0 != nullptr ? (ggml_tensor_extra_gpu *) src0->extra : nullptr; - ggml_tensor_extra_gpu * src1_extra = src1 != nullptr ? (ggml_tensor_extra_gpu *) src1->extra : nullptr; // Set data to vk_buffer // This can't be done earlier cause the buffer may not exist yet @@ -4280,7 +4282,7 @@ struct ggml_backend_vk_buffer_context { size_t alloc_index = temp_tensor_extra_index; temp_tensor_extra_index = (temp_tensor_extra_index + 1) % GGML_VK_MAX_NODES; ggml_tensor_extra_gpu * extra = &temp_tensor_extras[alloc_index]; - memset(extra, 0, sizeof(*extra)); + extra->reset(); return extra; } @@ -4331,6 +4333,8 @@ GGML_CALL static void ggml_backend_vk_buffer_init_tensor(ggml_backend_buffer_t b } else { ggml_vk_preallocate_buffers_graph(tensor, nullptr); } + + UNUSED(buffer); } GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) { @@ -4344,6 +4348,10 @@ GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t bu // ggml_vk_buffer_write(&ctx->dev_buffer, offset, data, size, vk_device.transfer_queue); ggml_vk_transform_tensor_static(data, tensor); + + UNUSED(buffer); + UNUSED(offset); + UNUSED(size); } GGML_CALL static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) { @@ -4355,6 +4363,8 @@ GGML_CALL static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t bu ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; ggml_vk_buffer_read(extra->buffer_gpu, offset, data, size, vk_device.transfer_queue); + + UNUSED(buffer); } GGML_CALL static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * src, ggml_tensor * dst) { @@ -4367,12 +4377,19 @@ GGML_CALL static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t bu // return true; // } return false; + + UNUSED(buffer); + UNUSED(src); + UNUSED(dst); } GGML_CALL static void ggml_backend_vk_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { - ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; + // ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; // ggml_vk_buffer_memset(&ctx->dev_buffer, 0, value, buffer->size, vk_device.transfer_queue); + + UNUSED(buffer); + UNUSED(value); } static ggml_backend_buffer_i ggml_backend_vk_buffer_interface = { @@ -4425,6 +4442,8 @@ GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alloc_size(ggml_backend_ GGML_CALL static bool ggml_backend_vk_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) { return ggml_backend_is_vk(backend); + + UNUSED(buft); } static ggml_backend_buffer_type_i ggml_backend_vk_buffer_type_interface = { @@ -4530,7 +4549,7 @@ GGML_CALL static ggml_backend_buffer_type_t ggml_backend_vk_get_default_buffer_t } GGML_CALL static bool ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cgraph * cgraph) { - ggml_backend_vk_context * vk_ctx = (ggml_backend_vk_context *)backend->context; + // ggml_backend_vk_context * vk_ctx = (ggml_backend_vk_context *)backend->context; for (int i = 0; i < cgraph->n_leafs; i++) { ggml_tensor * node = cgraph->leafs[i]; @@ -4573,6 +4592,8 @@ GGML_CALL static bool ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml ggml_vk_graph_cleanup(); return true; + + UNUSED(backend); } GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const ggml_tensor * op) { From 6e6174206f1fec37e9050bf4e0bb7b5a5acc892b Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 21 Jan 2024 10:28:46 +0100 Subject: [PATCH 124/142] Properly implement Vulkan backend buffer handling --- ggml-vulkan.cpp | 715 +++++++++++++++++++----------------------------- ggml-vulkan.h | 4 +- ggml.c | 16 +- llama.cpp | 1 - 4 files changed, 283 insertions(+), 453 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index fa79df127b1ee..37afdcc0b6456 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -187,16 +187,8 @@ struct ggml_tensor_extra_gpu { size_t ctx_idx; - int d_idx; - - size_t tensor_size; - - bool buffer_static; - vk_buffer * buffer_gpu; - uint64_t base_buffer_offset; - uint64_t view_offset; - - bool prepared; + vk_buffer buffer_gpu; + uint64_t offset; void reset() { ready = false; @@ -205,13 +197,8 @@ struct ggml_tensor_extra_gpu { in0_staging_event = (vk::Event) VK_NULL_HANDLE; in1_staging_event = (vk::Event) VK_NULL_HANDLE; ctx_idx = 0; - d_idx = 0; - tensor_size = 0; - buffer_static = 0; - buffer_gpu = nullptr; - base_buffer_offset = 0; - view_offset = 0; - prepared = false; + buffer_gpu.size = 0; + offset = 0; } }; @@ -260,20 +247,20 @@ static size_t vk_semaphore_idx, vk_event_idx; static ggml_vk_garbage_collector vk_gc; static std::vector> vk_pinned_memory; static size_t vk_prealloc_size_qx, vk_prealloc_size_qy, vk_prealloc_size_x, vk_prealloc_size_y, vk_prealloc_size_split_k; -static std::vector vk_prealloc_d_sizes; -static std::vector vk_prealloc_d_blocked; static vk_buffer vk_prealloc_qx, vk_prealloc_qy, vk_prealloc_x, vk_prealloc_y, vk_prealloc_split_k; -static std::vector vk_prealloc_d_buffers; static vk::Fence vk_fence; static vk_buffer vk_staging; static size_t vk_staging_size; static size_t vk_staging_offset; +static vk_buffer vk_sync_staging; static vk_context * vk_ctx; +static bool vk_disable; + #ifdef GGML_VULKAN_CHECK_RESULTS - size_t vk_skip_checks; - size_t vk_output_tensor; +size_t vk_skip_checks; +size_t vk_output_tensor; #endif static vk_pipeline ggml_vk_create_pipeline(const std::string& name, size_t spv_size, const void* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array wg_denoms, std::vector&& specialization_constants, uint32_t align) { @@ -716,7 +703,7 @@ static vk_subbuffer ggml_vk_subbuffer(vk_buffer& buf) { return { buf, 0, VK_WHOLE_SIZE }; } -static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector&& buffers, vk_queue& q, vk::AccessFlags&& src_mask, vk::AccessFlags&& dst_mask, bool force_sync) { +static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector&& buffers, vk_queue& q, bool force_sync) { #ifdef VK_DEBUG std::cerr << "ggml_vk_sync_buffers()" << std::endl; #endif @@ -730,11 +717,11 @@ static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector::max(); //smallest unused buffer that fits our needs @@ -1196,7 +1189,7 @@ static vk_buffer ggml_vk_pool_malloc(size_t size, vk::MemoryPropertyFlags req_fl ggml_vk_destroy_buffer(b); } - return ggml_vk_create_buffer(size, vk::MemoryPropertyFlagBits::eDeviceLocal | req_flags); + return ggml_vk_create_buffer(size, vk::MemoryPropertyFlagBits::eDeviceLocal); } static void ggml_vk_pool_free(vk_buffer& buffer) { @@ -1216,17 +1209,20 @@ static void ggml_vk_pool_free(vk_buffer& buffer) { ggml_vk_destroy_buffer(buffer); } -void ggml_vk_free_data(const struct ggml_tensor* tensor) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_free_data(" << tensor << ")" << std::endl; -#endif - if (tensor->backend != GGML_BACKEND_GPU) { - return; +// Returns an available temporary buffer that may only be used temporarily, it will be reused +static vk_buffer ggml_vk_create_buffer_temp(size_t size) { + // Try to find existing temp buffer with enough capacity + for (auto& buffer : vk_gc.temp_buffers) { + if (buffer.size >= size) { + return buffer; + } } - ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; - ggml_vk_destroy_buffer(*extra->buffer_gpu); - free(extra->buffer_gpu); + // Otherwise create new buffer + vk_buffer buf = ggml_vk_pool_malloc(size); + vk_gc.temp_buffers.push_back(buf); + + return buf; } void* ggml_vk_host_malloc(size_t size) { @@ -1367,7 +1363,7 @@ static void deferred_memcpy(void * dst, const void * src, size_t size, std::vect } } -static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_t offset, const ggml_tensor * tensor, vk_queue& q, std::vector* memcpys = nullptr, vk::Event * event = nullptr, bool allow_staging_resize = false) { +static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_t offset, const ggml_tensor * tensor, vk_queue& q, std::vector* memcpys = nullptr, vk::Event * event = nullptr, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_nc_async(" << tensor << ")" << std::endl; #endif @@ -1434,58 +1430,61 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ } } - ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, true); + ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, true); ctx.s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); return; } - // Staging buffer required, malloc because of async transfer - if (vk_staging.size < dst->size) { - if (!allow_staging_resize) { - std::cerr << "ERROR: Staging buffer too small. Required: " << dst->size << ", found: " << vk_staging.size << std::endl; + // Staging buffer required + vk_buffer * staging = &vk_staging; + size_t staging_offset = vk_staging_offset; + if (vk_staging.size < vk_staging_offset + dst->size) { + if (sync_staging) { + // Create temporary larger buffer + if (vk_sync_staging.size < dst->size) { + ggml_vk_destroy_buffer(vk_sync_staging); + vk_sync_staging = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); + } + + staging = &vk_sync_staging; + staging_offset = 0; + } else { GGML_ASSERT(false); } - // Resize buffer - if (vk_staging.size > 0) { - ggml_vk_destroy_buffer(vk_staging); - } - vk_staging = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); } - VkBufferCopy buf_copy{ vk_staging_offset, offset, ts*ne/bs }; + VkBufferCopy buf_copy{ staging_offset, offset, ts*ne/bs }; if (event != nullptr) { *event = ggml_vk_create_event(); ggml_vk_wait_events(ctx.s->buffer, { *event }, { vk::PipelineStageFlagBits::eHost }, q.stage_flags); } - ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, true); - vkCmdCopyBuffer(ctx.s->buffer, vk_staging.buffer, dst->buffer, 1, &buf_copy); + ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, true); + vkCmdCopyBuffer(ctx.s->buffer, staging->buffer, dst->buffer, 1, &buf_copy); for (uint64_t i3 = 0; i3 < ne3; i3++) { for (uint64_t i2 = 0; i2 < ne2; i2++) { // Find longest contiguous slice if (ne1*nb1 == dstnb2) { - deferred_memcpy((uint8_t *)vk_staging.ptr + vk_staging_offset + i3*dstnb3 + i2*dstnb2, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2, dstnb2, memcpys); + deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i3*dstnb3 + i2*dstnb2, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2, dstnb2, memcpys); } else { for (uint64_t i1 = 0; i1 < ne1; i1++) { if (ne0*nb0/bs == dstnb1) { - deferred_memcpy((uint8_t *)vk_staging.ptr + vk_staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2 + i1*nb1, dstnb1, memcpys); + deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2 + i1*nb1, dstnb1, memcpys); } else { const uint64_t s_off = buf_offset + i3*nb3 + i2*nb2 + i1*nb1; - const uint64_t d_off = vk_staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1; + const uint64_t d_off = staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1; for (uint64_t i0 = 0; i0 < ne0; i0++) { - deferred_memcpy((uint8_t *)vk_staging.ptr + d_off + i0*dstnb0, (const uint8_t *) tensor->data + s_off + i0*nb0, dstnb0, memcpys); + deferred_memcpy((uint8_t *)staging->ptr + d_off + i0*dstnb0, (const uint8_t *) tensor->data + s_off + i0*nb0, dstnb0, memcpys); } } } } } } - - return; } -static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector* memcpys = nullptr, vk::Event * event = nullptr, bool allow_staging_resize = false) { +static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector* memcpys = nullptr, vk::Event * event = nullptr, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; #endif @@ -1524,7 +1523,7 @@ static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_ } } - ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, true); + ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, true); ctx.s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); return; } @@ -1532,21 +1531,25 @@ static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_ std::cerr << "STAGING" << std::endl; #endif - // Staging buffer required, malloc because of async transfer - if (vk_staging.size < dst->size) { - if (!allow_staging_resize) { - std::cerr << "ERROR: Staging buffer too small. Required: " << dst->size << ", found: " << vk_staging.size << std::endl; + // Staging buffer required + vk_buffer * staging = &vk_staging; + size_t staging_offset = vk_staging_offset; + if (vk_staging.size < vk_staging_offset + dst->size) { + if (sync_staging) { + if (vk_sync_staging.size < dst->size) { + ggml_vk_destroy_buffer(vk_sync_staging); + vk_sync_staging = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); + } + + staging = &vk_sync_staging; + staging_offset = 0; + } else { GGML_ASSERT(false); } - // Resize buffer - if (vk_staging.size > 0) { - ggml_vk_destroy_buffer(vk_staging); - } - vk_staging = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); } VkBufferCopy buf_copy = { - vk_staging_offset, + staging_offset, offset, width * height}; @@ -1554,25 +1557,23 @@ static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_ *event = ggml_vk_create_event(); ggml_vk_wait_events(ctx.s->buffer, { *event }, { vk::PipelineStageFlagBits::eHost }, q.stage_flags); } - ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, true); - vkCmdCopyBuffer(ctx.s->buffer, vk_staging.buffer, dst->buffer, 1, &buf_copy); + ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, true); + vkCmdCopyBuffer(ctx.s->buffer, staging->buffer, dst->buffer, 1, &buf_copy); if (width == spitch) { - deferred_memcpy((uint8_t *)vk_staging.ptr + vk_staging_offset, src, width * height, memcpys); + deferred_memcpy((uint8_t *)staging->ptr + staging_offset, src, width * height, memcpys); } else { for (size_t i = 0; i < height; i++) { - deferred_memcpy((uint8_t *)vk_staging.ptr + vk_staging_offset + i * width, (const uint8_t *) src + i * spitch, width, memcpys); + deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i * width, (const uint8_t *) src + i * spitch, width, memcpys); } } - - return; } -static void ggml_vk_buffer_write_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector* memcpys = nullptr, vk::Event * event = nullptr) { +static void ggml_vk_buffer_write_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector* memcpys = nullptr, vk::Event * event = nullptr, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; #endif - return ggml_vk_buffer_write_2d_async(ctx, dst, offset, src, size, size, 1, q, memcpys, event); + return ggml_vk_buffer_write_2d_async(ctx, dst, offset, src, size, size, 1, q, memcpys, event, sync_staging); } static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q) { @@ -1604,7 +1605,7 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1, q); } -static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, vk_queue& q, std::vector* memcpys = nullptr, bool allow_staging_resize = false) { +static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, vk_queue& q, std::vector* memcpys = nullptr, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_read_2d_async(offset=" << offset << ", width=" << width << ", height=" << height << ")" << std::endl; #endif @@ -1641,7 +1642,7 @@ static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t if (buf != nullptr) { // Memory is pinned, use as staging buffer - ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*src) }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*src) }, q, true); ctx.s->buffer.copyBuffer(src->buffer, buf->buffer, slices); return; @@ -1651,30 +1652,33 @@ static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t #endif // Fall back to staging buffer - if (vk_staging.size < src->size) { - if (!allow_staging_resize) { - std::cerr << "ERROR: Staging buffer too small. Required: " << src->size << ", found: " << vk_staging.size << std::endl; + vk_buffer * staging = &vk_staging; + size_t staging_offset = vk_staging_offset; + if (vk_staging.size < vk_staging_offset + src->size) { + if (sync_staging) { + // Create temporary larger buffer + if (vk_sync_staging.size < src->size) { + ggml_vk_destroy_buffer(vk_sync_staging); + vk_sync_staging = ggml_vk_create_buffer(src->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); + } + + staging = &vk_sync_staging; + staging_offset = 0; + } else { GGML_ASSERT(false); } - // Resize buffer - if (vk_staging.size > 0) { - ggml_vk_destroy_buffer(vk_staging); - } - vk_staging = ggml_vk_create_buffer(src->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); } - ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*src) }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, true); - ctx.s->buffer.copyBuffer(src->buffer, vk_staging.buffer, slices); + ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*src) }, q, true); + ctx.s->buffer.copyBuffer(src->buffer, staging->buffer, slices); GGML_ASSERT(memcpys != nullptr); - deferred_memcpy(dst, vk_staging.ptr, dpitch * height, memcpys); - - return; + deferred_memcpy(dst, staging->ptr, dpitch * height, memcpys); } -static void ggml_vk_buffer_read_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector* memcpys = nullptr) { - return ggml_vk_buffer_read_2d_async(ctx, src, offset, dst, size, size, size, 1, q, memcpys); +static void ggml_vk_buffer_read_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector* memcpys = nullptr, bool sync_staging = false) { + return ggml_vk_buffer_read_2d_async(ctx, src, offset, dst, size, size, size, 1, q, memcpys, sync_staging); } static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q) { @@ -1689,7 +1693,7 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ vk_context * ctx = ggml_vk_create_context(); ggml_vk_ctx_begin(*ctx, q); std::vector staging; - ggml_vk_buffer_read_async(*ctx, src, offset, dst, size, q, &staging); + ggml_vk_buffer_read_async(*ctx, src, offset, dst, size, q, &staging, true); ggml_vk_ctx_end(*ctx); ggml_vk_submit(q, ctx->seqs, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_buffer_read waitForFences"); @@ -1723,7 +1727,7 @@ static void ggml_vk_buffer_memset(vk_buffer* dst, size_t offset, uint32_t c, siz vk_submission submission = ggml_vk_create_submission(q, {}, {}); submission.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(submission.buffer, { { *dst, (uint64_t)offset, (uint64_t)size } }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eMemoryWrite, false); + ggml_vk_sync_buffers(submission.buffer, { { *dst, (uint64_t)offset, (uint64_t)size } }, q, false); submission.buffer.fillBuffer(dst->buffer, offset, size, c); submission.buffer.end(); @@ -1886,9 +1890,8 @@ static void ggml_vk_matmul(vk_context& ctx, vk_pipeline& pipeline, vk_subbuffer& #ifdef VK_DEBUG std::cerr << "ggml_vk_matmul(a: (" << a.buffer.buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer.buffer << ", " << b.offset << ", " << b.size << "), c: (" << d.buffer.buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << split_k_buffer.buffer.buffer << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", split_k: " << split_k << ", d_offset: " << d_offset << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ")" << std::endl; #endif - ggml_vk_sync_buffers(ctx.s->buffer, { a, b }, q, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eShaderRead, true); if (split_k == 1) { - ggml_vk_sync_buffers(ctx.s->buffer, { d }, q, vk::AccessFlagBits::eMemoryRead, vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_sync_buffers(ctx.s->buffer, { a, b, d }, q, true); const std::array pc = { m, n, k, stride_a, stride_b, stride_d, k, d_offset, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d }; ggml_vk_dispatch_pipeline(*ctx.s, pipeline, { a, b, d }, pc.size() * sizeof(uint32_t), pc.data(), { m, n, batch }); return; @@ -1896,11 +1899,11 @@ static void ggml_vk_matmul(vk_context& ctx, vk_pipeline& pipeline, vk_subbuffer& GGML_ASSERT(batch_stride_d == m * n); - ggml_vk_sync_buffers(ctx.s->buffer, { split_k_buffer }, q, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_sync_buffers(ctx.s->buffer, { a, b, split_k_buffer }, q, true); // Synchronize the two submissions const std::array pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k), 0, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d * split_k }; ggml_vk_dispatch_pipeline(*ctx.s, pipeline, { a, b, split_k_buffer }, pc1.size() * sizeof(uint32_t), pc1.data(), { m * split_k, n, batch }); - ggml_vk_sync_buffers(ctx.s->buffer, { split_k_buffer, d }, q, vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eShaderRead | vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_sync_buffers(ctx.s->buffer, { split_k_buffer, d }, q, true); const std::array pc2 = { (uint32_t)(m * n * batch), split_k, d_offset }; ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(uint32_t), pc2.data(), { m * n * batch, 1, 1 }); return; @@ -1948,7 +1951,7 @@ static void ggml_vk_cpy_to_contiguous(vk_context& ctx, vk_pipeline * pipeline, c (uint32_t)tensor->ne[0], (uint32_t)tensor->ne[1], 1 , (uint32_t)tensor->ne[0] , nb2, 0, }; - ggml_vk_sync_buffers(ctx.s->buffer, { in, out }, compq, vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite, true); + ggml_vk_sync_buffers(ctx.s->buffer, { in, out }, compq, true); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { in, out }, sizeof(vk_op_cpy_push_constants), &pc, { ne, 1, 1 }); } @@ -2015,13 +2018,13 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra; - vk_buffer* d_D = extra->buffer_gpu; - const uint64_t d_buf_offset = extra->base_buffer_offset + extra->view_offset; + vk_buffer* d_D = &extra->buffer_gpu; + const uint64_t d_buf_offset = extra->offset; GGML_ASSERT(d_D != nullptr); GGML_ASSERT(d_D->size >= d_buf_offset + d_sz * ne02 * ne03); - vk_buffer* d_Qx; + vk_buffer * d_Qx; uint64_t qx_buf_offset = 0; - vk_buffer* d_Qy; + vk_buffer * d_Qy; uint64_t qy_buf_offset = 0; vk_buffer* d_X; uint64_t x_buf_offset = 0; @@ -2029,18 +2032,16 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con uint64_t y_buf_offset = 0; if (load_x) { d_Qx = &vk_prealloc_qx; - GGML_ASSERT(d_Qx->size >= qx_sz * ne02 * ne03); } else { - d_Qx = extra_src0->buffer_gpu; - qx_buf_offset = extra_src0->base_buffer_offset + extra_src0->view_offset; + d_Qx = &extra_src0->buffer_gpu; + qx_buf_offset = extra_src0->offset; GGML_ASSERT(d_Qx != nullptr); } if (load_y) { d_Qy = &vk_prealloc_qy; - GGML_ASSERT(d_Qy->size >= qy_sz * ne02 * ne03); } else { - d_Qy = extra_src1->buffer_gpu; - qy_buf_offset = extra_src1->base_buffer_offset + extra_src1->view_offset; + d_Qy = &extra_src1->buffer_gpu; + qy_buf_offset = extra_src1->offset; GGML_ASSERT(d_Qy != nullptr); } if (qx_needs_dequant) { @@ -2099,8 +2100,7 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con if (qx_needs_dequant) { const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, 0, x_sz * ne02 * ne03 } }, compq, vk::AccessFlagBits::eShaderRead, vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 }, { *d_X, 0, x_sz * ne02 * ne03 } }, compq, true); ggml_vk_dispatch_pipeline(*ctx.s, *to_fp16_vk_0, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 }, { *d_X, 0, x_sz * ne02 * ne03 } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)(x_ne * ne02 * ne03), 1, 1}); } } @@ -2184,8 +2184,8 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra; - vk_buffer* d_D = extra->buffer_gpu; - const uint64_t d_buf_offset = extra->base_buffer_offset + extra->view_offset; + vk_buffer* d_D = &extra->buffer_gpu; + const uint64_t d_buf_offset = extra->offset; GGML_ASSERT(d_D != nullptr); vk_buffer* d_Qx; uint32_t qx_buf_offset = 0; @@ -2198,15 +2198,15 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, if (load_x) { d_Qx = &vk_prealloc_qx; } else { - d_Qx = extra_src0->buffer_gpu; - qx_buf_offset = extra_src0->base_buffer_offset + extra_src0->view_offset; + d_Qx = &extra_src0->buffer_gpu; + qx_buf_offset = extra_src0->offset; GGML_ASSERT(d_Qx != nullptr); } if (load_y) { d_Qy = &vk_prealloc_qy; } else { - d_Qy = extra_src1->buffer_gpu; - qy_buf_offset = extra_src1->base_buffer_offset + extra_src1->view_offset; + d_Qy = &extra_src1->buffer_gpu; + qy_buf_offset = extra_src1->offset; GGML_ASSERT(d_Qy != nullptr); } if (qx_needs_dequant) { @@ -2282,21 +2282,19 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, if (!y_non_contig && qy_needs_dequant) { const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qy, qy_offset, qy_sz } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Y, y_offset, y_sz } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, compq, true); ggml_vk_dispatch_pipeline(*ctx.s, *to_fp16_vk_1, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); } // compute const std::array pc = { (int)ne00, (int)(y_shader_offset / ggml_type_size(src1->type)), (int)(d_shader_offset / ggml_type_size(dst->type))}; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, true); ggml_vk_dispatch_pipeline(*ctx.s, *dmmv, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 3 * sizeof(int), &pc, { (uint32_t)ne01, 1, 1}); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, true); ggml_vk_buffer_read_async(ctx, d_D, d_offset, d, sizeof(float) * d_ne, compq, &extra->out_memcpys); } } @@ -2324,7 +2322,7 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor const uint64_t ne10 = src1->ne[0]; const uint64_t ne11 = src1->ne[1]; const uint64_t ne12 = src1->ne[2]; - // const uint64_t ne13 = src1->ne[3]; + const uint64_t ne13 = src1->ne[3]; GGML_ASSERT(ne11 == 1); @@ -2344,20 +2342,20 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra; - vk_buffer* d_D = extra->buffer_gpu; - const uint64_t d_buf_offset = extra->base_buffer_offset + extra->view_offset; + vk_buffer* d_D = &extra->buffer_gpu; + const uint64_t d_buf_offset = extra->offset; GGML_ASSERT(d_D != nullptr); vk_buffer* d_Qx; - const uint64_t qx_buf_offset = extra_src0->base_buffer_offset + extra_src0->view_offset; + const uint64_t qx_buf_offset = extra_src0->offset; vk_buffer* d_Qy; uint64_t qy_buf_offset = 0; - d_Qx = extra_src0->buffer_gpu; + d_Qx = &extra_src0->buffer_gpu; GGML_ASSERT(d_Qx != nullptr); if (load_y) { d_Qy = &vk_prealloc_qy; } else { - d_Qy = extra_src1->buffer_gpu; - qy_buf_offset = extra_src1->base_buffer_offset + extra_src1->view_offset; + d_Qy = &extra_src1->buffer_gpu; + qy_buf_offset = extra_src1->offset; GGML_ASSERT(d_Qx != nullptr); } @@ -2376,14 +2374,13 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor // compute const std::array pc = { (uint32_t)ne00, (uint32_t)ne01, (uint32_t)ne02, (uint32_t)ne12, (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) }; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, true); ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_mul_mat_vec_p021_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 6 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) dst->data; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, true); ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne, compq, &extra->out_memcpys); } } @@ -2412,7 +2409,7 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * // const uint64_t ne10 = src1->ne[0]; const uint64_t ne11 = src1->ne[1]; const uint64_t ne12 = src1->ne[2]; - // const uint64_t ne13 = src1->ne[3]; + const uint64_t ne13 = src1->ne[3]; GGML_ASSERT(ne11 == 1); @@ -2433,20 +2430,20 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; ggml_tensor_extra_gpu * extra_src1 = (ggml_tensor_extra_gpu *) src1->extra; - vk_buffer* d_D = extra->buffer_gpu; - const uint64_t d_buf_offset = extra->base_buffer_offset + extra->view_offset; + vk_buffer* d_D = &extra->buffer_gpu; + const uint64_t d_buf_offset = extra->offset; GGML_ASSERT(d_D != nullptr); vk_buffer* d_Qx; - const uint64_t qx_buf_offset = extra_src0->base_buffer_offset + extra_src0->view_offset; + const uint64_t qx_buf_offset = extra_src0->offset; vk_buffer* d_Qy; uint64_t qy_buf_offset = 0; - d_Qx = extra_src0->buffer_gpu; + d_Qx = &extra_src0->buffer_gpu; GGML_ASSERT(d_Qx != nullptr); if (load_y) { d_Qy = &vk_prealloc_qy; } else { - d_Qy = extra_src1->buffer_gpu; - qy_buf_offset = extra_src1->base_buffer_offset + extra_src1->view_offset; + d_Qy = &extra_src1->buffer_gpu; + qy_buf_offset = extra_src1->offset; GGML_ASSERT(d_Qx != nullptr); } @@ -2465,14 +2462,13 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * // compute const std::array pc = { (uint32_t)ne00, (uint32_t)ne01, row_stride_x, channel_stride_x, (uint32_t)(ne12 / ne02), (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) }; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset } }, compq, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, true); ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_mul_mat_vec_nc_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 7 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) dst->data; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, vk::AccessFlagBits::eShaderWrite, vk::AccessFlagBits::eTransferRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, true); ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne, compq, &extra->out_memcpys); } } @@ -2541,10 +2537,10 @@ static void ggml_vk_op_repeat(vk_context& ctx, const ggml_tensor * src0, const g ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra; ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; - const vk_buffer* src_buf = extra_src0->buffer_gpu; - const uint64_t src_offset = extra_src0->base_buffer_offset + extra_src0->view_offset; - vk_buffer* dst_buf = extra->buffer_gpu; - const uint64_t dst_offset = extra->base_buffer_offset + extra->view_offset; + const vk_buffer* src_buf = &extra_src0->buffer_gpu; + const uint64_t src_offset = extra_src0->offset; + vk_buffer* dst_buf = &extra->buffer_gpu; + const uint64_t dst_offset = extra->offset; std::vector copies; @@ -2568,6 +2564,7 @@ static void ggml_vk_op_repeat(vk_context& ctx, const ggml_tensor * src0, const g } } + ggml_vk_sync_buffers(ctx.s->buffer, { { *src_buf, src_offset, ggml_nbytes(src0) }, { *dst_buf, dst_offset, ggml_nbytes(dst) } }, vk_device.compute_queue, true); ctx.s->buffer.copyBuffer(src_buf->buffer, dst_buf->buffer, copies); (void) src1; @@ -2739,14 +2736,14 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml ggml_tensor_extra_gpu * extra_src1 = use_src1 ? (ggml_tensor_extra_gpu *) src1->extra : nullptr; // Workaround for tiny tensor inputs on ROPE - if (use_src1 && src1->backend == GGML_BACKEND_GPU && y_sz > extra_src1->buffer_gpu->size) { + if (use_src1 && src1->backend == GGML_BACKEND_GPU && y_sz > extra_src1->buffer_gpu.size) { y_sz = VK_WHOLE_SIZE; } - vk_buffer* d_D = extra->buffer_gpu; + vk_buffer* d_D = &extra->buffer_gpu; GGML_ASSERT(d_D != nullptr); - uint64_t d_buf_offset = ((extra->base_buffer_offset + extra->view_offset) / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; - GGML_ASSERT(d_buf_offset == (extra->base_buffer_offset + extra->view_offset) || op == GGML_OP_CPY); // NOLINT + uint64_t d_buf_offset = (extra->offset / vk_device.properties.limits.minStorageBufferOffsetAlignment) * vk_device.properties.limits.minStorageBufferOffsetAlignment; + GGML_ASSERT(d_buf_offset == extra->offset || op == GGML_OP_CPY); // NOLINT vk_buffer* d_X = nullptr; uint64_t x_buf_offset = 0; vk_buffer* d_Y = nullptr; @@ -2754,15 +2751,15 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml if (transfer_src0) { d_X = &vk_prealloc_qx; } else { - d_X = extra_src0->buffer_gpu; - x_buf_offset = extra_src0->base_buffer_offset + extra_src0->view_offset; + d_X = &extra_src0->buffer_gpu; + x_buf_offset = extra_src0->offset; GGML_ASSERT(d_X != nullptr); } if (transfer_src1) { d_Y = &vk_prealloc_qy; } else if (use_src1) { - d_Y = extra_src1->buffer_gpu; - y_buf_offset = extra_src1->base_buffer_offset + extra_src1->view_offset; + d_Y = &extra_src1->buffer_gpu; + y_buf_offset = extra_src1->offset; GGML_ASSERT(d_Y != nullptr); } @@ -2771,7 +2768,7 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml GGML_ASSERT(!transfer_src1); d_sz = dst->ne[1] * dst->nb[1]; - if (extra->base_buffer_offset + extra->view_offset + d_sz >= d_D->size) { + if (extra->offset + d_sz >= d_D->size) { d_sz = VK_WHOLE_SIZE; } } @@ -2814,16 +2811,15 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml d_sz *= ne02 * ne03; } - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buf_offset, d_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, true); if (!use_src1 && op == GGML_OP_SOFT_MAX) { // Empty src1 is possible on soft_max, but the shader needs a buffer - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset, d_sz } }, vk_device.compute_queue, true); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else if (use_src1) { - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz }, { *d_D, d_buf_offset, d_sz } }, vk_device.compute_queue, true); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else { - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset, d_sz } }, vk_device.compute_queue, true); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } if (dst->backend == GGML_BACKEND_CPU && op == GGML_OP_CPY) { @@ -2859,16 +2855,15 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml const uint32_t y_offset = y_sz * it_idx1; const uint32_t d_offset = d_sz * it_idx0; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buf_offset + d_offset, d_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferRead, vk::AccessFlagBits::eShaderWrite, true); if (!use_src1 && op == GGML_OP_SOFT_MAX) { // Empty src1 is possible on soft_max, but the shader needs a buffer - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, vk_device.compute_queue, true); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else if (use_src1) { - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, vk_device.compute_queue, true); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); } else { - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_offset, x_sz } }, vk_device.compute_queue, vk::AccessFlagBits::eTransferWrite, vk::AccessFlagBits::eShaderRead, true); + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_offset, x_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, vk_device.compute_queue, true); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); } if (dst->backend == GGML_BACKEND_CPU) { @@ -2914,7 +2909,7 @@ static void ggml_vk_cpy(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra; const int src0_type_size = ggml_type_size(src0->type); const int dst_type_size = ggml_type_size(dst->type); - const uint32_t d_offset = ((extra->base_buffer_offset + extra->view_offset) % vk_device.properties.limits.minStorageBufferOffsetAlignment) / dst_type_size; + const uint32_t d_offset = (extra->offset % vk_device.properties.limits.minStorageBufferOffsetAlignment) / dst_type_size; ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_CPY, { (uint32_t)ggml_nelements(src0), (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], (uint32_t)src0->nb[0] / src0_type_size, (uint32_t)src0->nb[1] / src0_type_size, (uint32_t)src0->nb[2] / src0_type_size, @@ -2975,8 +2970,8 @@ static void ggml_vk_nop(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * if (dst->backend == GGML_BACKEND_CPU) { ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra; ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; - vk_buffer * d_D = extra_src0->buffer_gpu; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, 0, VK_WHOLE_SIZE } }, vk_device.compute_queue, vk::AccessFlagBits::eMemoryWrite, vk::AccessFlagBits::eTransferRead, true); + vk_buffer * d_D = &extra_src0->buffer_gpu; + ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, 0, VK_WHOLE_SIZE } }, vk_device.compute_queue, true); ggml_vk_buffer_read_async(ctx, d_D, 0, dst->data, d_D->size, vk_device.compute_queue, &extra->out_memcpys); } } @@ -3476,65 +3471,14 @@ void ggml_vk_test_transfer(size_t ne, bool pinned) { } #endif -static void ggml_vk_transform_tensor(const void * data, ggml_tensor * tensor, bool buffer_static) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_transform_tensor(" << data << ", " << tensor << " (" << tensor->name << "))" << std::endl; -#endif - GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); - GGML_ASSERT(ggml_is_contiguous(tensor)); - - ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; - if (extra == nullptr) { - extra = new ggml_tensor_extra_gpu; - extra->reset(); - tensor->extra = extra; - } - - const size_t size = ggml_nbytes(tensor); - - extra->buffer_gpu = new vk_buffer; - *extra->buffer_gpu = ggml_vk_pool_malloc(size, vk::MemoryPropertyFlagBits::eDeviceLocal); - ggml_vk_buffer_write(extra->buffer_gpu, 0, data, size, vk_device.transfer_queue); - - extra->buffer_static = buffer_static; - - if (!buffer_static) { - vk_gc.temp_buffers.push_back(*extra->buffer_gpu); - } -} - -void ggml_vk_transform_tensor_temporary(const void * data, ggml_tensor * tensor) { - ggml_vk_transform_tensor(data, tensor, false); -} -void ggml_vk_transform_tensor_static(const void * data, ggml_tensor * tensor) { - ggml_vk_transform_tensor(data, tensor, true); -} - -void ggml_vk_assign_buffer(ggml_tensor * tensor) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_assign_buffer(" << tensor << " (" << tensor->name << "))" << std::endl; -#endif - tensor->backend = GGML_BACKEND_GPU; - - GGML_ASSERT(tensor->extra == nullptr); - - ggml_tensor_extra_gpu * extra = new ggml_tensor_extra_gpu; - extra->reset(); - tensor->extra = extra; - - extra->buffer_gpu = new vk_buffer; - *extra->buffer_gpu = ggml_vk_create_buffer(ggml_nbytes(tensor), vk::MemoryPropertyFlagBits::eDeviceLocal); - ggml_vk_buffer_memset(extra->buffer_gpu, 0, 0, VK_WHOLE_SIZE, vk_device.transfer_queue); - extra->buffer_static = true; -} - -static void ggml_vk_tensor_create_extra(ggml_tensor * tensor) { +static ggml_tensor_extra_gpu * ggml_vk_tensor_create_extra(ggml_tensor * tensor) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_extra(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))" << std::endl; #endif ggml_tensor_extra_gpu * extra = new ggml_tensor_extra_gpu; extra->reset(); tensor->extra = extra; + return extra; } void ggml_vk_prepare_tensor(ggml_tensor * tensor) { @@ -3582,58 +3526,6 @@ static size_t ggml_vk_tensor_size(const ggml_tensor * tensor) { return tensor->ne[order[3]]*tensor->nb[order[3]]; } -static void ggml_vk_preallocate_buffers_reserve(ggml_tensor * tensor, size_t d_size, size_t qx_size, size_t qy_size, size_t x_size, size_t y_size, size_t split_k_size, int inplace_d, size_t staging_size) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_preallocate_buffers_reserve(tensor=" << tensor << ", d_size=" << d_size << ", qx_size=" << qx_size << ", qy_size=" << qy_size << ", x_size=" << x_size << ", y_size=" << y_size << ", split_k_size=" << split_k_size << ", inplace_d=" << inplace_d << ", staging_size=" << staging_size << ")" << std::endl; -#endif - ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; - GGML_ASSERT(extra != nullptr); - - if (d_size > 0) { - if (inplace_d == -1) { - extra->d_idx = -1; - extra->tensor_size = d_size; - - // Check if buffer already exists, increase size if required - for (size_t i = 0; i < vk_prealloc_d_sizes.size(); i++) { - if (!vk_prealloc_d_blocked[i]) { - extra->d_idx = i; - if (vk_prealloc_d_sizes[i] < d_size) { - vk_prealloc_d_sizes[i] = d_size; - } - break; - } - } - if (extra->d_idx == -1) { - vk_prealloc_d_sizes.push_back(d_size); - vk_prealloc_d_blocked.push_back(nullptr); - vk_prealloc_d_buffers.emplace_back(); - extra->d_idx = vk_prealloc_d_buffers.size() - 1; - } - } else if(inplace_d >= 0) { - extra->d_idx = inplace_d; - } - if (vk_prealloc_size_qx < qx_size) { - vk_prealloc_size_qx = qx_size; - } - if (vk_prealloc_size_qy < qy_size) { - vk_prealloc_size_qy = qy_size; - } - if (vk_prealloc_size_x < x_size) { - vk_prealloc_size_x = x_size; - } - if (vk_prealloc_size_y < y_size) { - vk_prealloc_size_y = y_size; - } - if (vk_prealloc_size_split_k < split_k_size) { - vk_prealloc_size_split_k = split_k_size; - } - if (vk_staging_size < staging_size) { - vk_staging_size = staging_size; - } - } -} - static ggml_tensor * ggml_vk_find_last_use(const ggml_tensor * node, ggml_cgraph * graph) { GGML_ASSERT(node != nullptr); @@ -3648,7 +3540,7 @@ static ggml_tensor * ggml_vk_find_last_use(const ggml_tensor * node, ggml_cgraph return nullptr; } -void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ +void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ #ifdef VK_DEBUG std::cerr << "ggml_vk_preallocate_buffers_graph(" << node << ")" << std::endl; #endif @@ -3656,16 +3548,16 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) || (node->src[1] != nullptr && (node->src[1]->backend == GGML_BACKEND_GPU)); - if (!any_on_device && node->op != GGML_OP_MUL_MAT) { + if (vk_disable || (!any_on_device && node->op != GGML_OP_MUL_MAT)) { return; } - if (node->extra == nullptr) { - ggml_vk_tensor_create_extra(node); + ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) node->extra; + if (extra == nullptr) { + // Workaround for CPU backend BLAS matmul calls + extra = ggml_vk_tensor_create_extra(node); } - ((ggml_tensor_extra_gpu *) node->extra)->prepared = true; - ggml_tensor * src0 = node->src[0]; ggml_tensor * src1 = node->src[1]; @@ -3712,50 +3604,20 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ const uint64_t x_sz = use_src0 ? ggml_vk_align_size(sizeof(ggml_fp16_t) * x_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne02 * ne03 : 0; const uint64_t y_sz = use_src1 ? ggml_vk_align_size(f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne12 * ne13 : 0; uint64_t d_sz = ggml_vk_align_size(ggml_type_size(node->type) * d_ne, vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne22 * ne23; + const uint64_t split_k_size = split_k > 1 ? d_sz * 4 : 0; - // These ops can create incontiguous tensors - if (node->op == GGML_OP_CPY || node->op == GGML_OP_CONT || node->op == GGML_OP_DUP) { - d_sz = ggml_vk_align_size(node->ne[1] * node->nb[1], vk_device.properties.limits.minStorageBufferOffsetAlignment) * ne22 * ne23; - } - - // -1 means pick from preallocated buffers - // -2 means don't pick, it has already been assigned - int inplace = -1; - if (node->view_src != nullptr && node->view_src->backend == GGML_BACKEND_GPU) { - ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) node->extra; - ggml_tensor_extra_gpu * extra_src = (ggml_tensor_extra_gpu *) node->view_src->extra; - - // These ops reuse the src's buffer - if (extra_src->buffer_static) { - // Inherit buffer directly - extra->d_idx = -1; - extra->buffer_static = true; - extra->buffer_gpu = extra_src->buffer_gpu; - inplace = -2; - } else { - // Use same temp buffer - extra->d_idx = extra_src->d_idx; - inplace = extra->d_idx; - } - extra->tensor_size = extra_src->tensor_size; - extra->base_buffer_offset = extra_src->base_buffer_offset; - extra->view_offset = node->view_offs; + if (extra->buffer_gpu.size == 0) { + // Workaround for CPU backend BLAS matmul calls + extra->buffer_gpu = ggml_vk_create_buffer_temp(d_sz); } switch (node->op) { case GGML_OP_REPEAT: - ggml_vk_preallocate_buffers_reserve(node, d_sz, qx_sz, 0, 0, 0, 0, inplace, qx_sz); - break; case GGML_OP_GET_ROWS: - ggml_vk_preallocate_buffers_reserve(node, d_sz, 0, 0, 0, 0, 0, inplace, 0); - - break; case GGML_OP_RESHAPE: case GGML_OP_VIEW: case GGML_OP_PERMUTE: case GGML_OP_TRANSPOSE: - ggml_vk_preallocate_buffers_reserve(node, 0, 0, 0, 0, 0, 0, inplace, 0); - break; case GGML_OP_ADD: case GGML_OP_SCALE: case GGML_OP_SQR: @@ -3769,50 +3631,49 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node, ggml_cgraph * graph){ case GGML_OP_DIAG_MASK_INF: case GGML_OP_SOFT_MAX: case GGML_OP_ROPE: - ggml_vk_preallocate_buffers_reserve(node, d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, 0, 0, 0, inplace, qx_sz + qy_sz); break; case GGML_OP_UNARY: switch (ggml_get_unary_op(node)) { case GGML_UNARY_OP_SILU: case GGML_UNARY_OP_GELU: case GGML_UNARY_OP_RELU: - ggml_vk_preallocate_buffers_reserve(node, d_sz, transfer_src0 ? qx_sz : 0, 0, 0, 0, 0, inplace, qx_sz); break; default: return; } break; case GGML_OP_MUL_MAT: - ggml_vk_preallocate_buffers_reserve(node, d_sz, transfer_src0 ? qx_sz : 0, transfer_src1 ? qy_sz : 0, qx_needs_dequant ? x_sz : 0, qy_needs_dequant ? y_sz : 0, split_k > 1 ? d_sz * 4 : 0, inplace, qx_sz + qy_sz); + if (vk_prealloc_size_qx < qx_sz) { + vk_prealloc_size_qx = qx_sz; + } + if (vk_prealloc_size_qy < qy_sz) { + vk_prealloc_size_qy = qy_sz; + } + if (vk_prealloc_size_x < x_sz) { + vk_prealloc_size_x = x_sz; + } + if (vk_prealloc_size_y < y_sz) { + vk_prealloc_size_y = y_sz; + } + if (vk_prealloc_size_split_k < split_k_size) { + vk_prealloc_size_split_k = split_k_size; + } + if (vk_staging_size < x_sz + y_sz) { + vk_staging_size = x_sz + y_sz; + } break; default: return; } - - ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) node->extra; - - if (node->backend == GGML_BACKEND_GPU && extra->d_idx >= 0 && graph != nullptr) { - // Replace with data GPU tensor - vk_prealloc_d_blocked[extra->d_idx] = ggml_vk_find_last_use(node, graph); - } - - // Unblock buffers if they terminate at current node - for (size_t i = 0; i < vk_prealloc_d_blocked.size(); i++) { - if (vk_prealloc_d_blocked[i] == node) { - vk_prealloc_d_blocked[i] = nullptr; - } - } } void ggml_vk_preallocate_buffers() { + if (vk_disable) { + return; + } #ifdef VK_DEBUG std::cerr << "ggml_vk_preallocate_buffers()" << std::endl; - std::cerr << "d_sizes: "; - for (size_t i = 0; i < vk_prealloc_d_sizes.size(); i++) { - std::cerr << vk_prealloc_d_sizes[i] << " "; - } - std::cerr << std::endl; - std::cerr << "qx_size: " << vk_prealloc_size_qx << " qy_size: " << vk_prealloc_size_qy << " x_size: " << vk_prealloc_size_x << " y_size: " << vk_prealloc_size_y << std::endl; + std::cerr << "qx_size: " << vk_prealloc_size_qx << " qy_size: " << vk_prealloc_size_qy << " x_size: " << vk_prealloc_size_x << " y_size: " << vk_prealloc_size_y << " split_k_size: " << vk_prealloc_size_split_k << std::endl; #endif #if defined(VK_RUN_TESTS) ggml_vk_test_transfer(8192, false); @@ -3855,51 +3716,42 @@ void ggml_vk_preallocate_buffers() { GGML_ASSERT(false); #endif - for (size_t i = 0; i < vk_prealloc_d_sizes.size(); i++) { - if (vk_prealloc_d_buffers[i].size < vk_prealloc_d_sizes[i]) { - // Resize buffer - if (vk_prealloc_d_buffers[i].size > 0) { - ggml_vk_destroy_buffer(vk_prealloc_d_buffers[i]); - } - vk_prealloc_d_buffers[i] = ggml_vk_create_buffer(vk_prealloc_d_sizes[i], vk::MemoryPropertyFlagBits::eDeviceLocal); - } - } - if (vk_prealloc_qx.size < vk_prealloc_size_qx) { + if (vk_prealloc_size_qx > 0 && vk_prealloc_qx.size < vk_prealloc_size_qx) { // Resize buffer if (vk_prealloc_qx.size > 0) { ggml_vk_destroy_buffer(vk_prealloc_qx); } vk_prealloc_qx = ggml_vk_create_buffer(vk_prealloc_size_qx, vk::MemoryPropertyFlagBits::eDeviceLocal); } - if (vk_prealloc_qy.size < vk_prealloc_size_qy) { + if (vk_prealloc_size_qy > 0 && vk_prealloc_qy.size < vk_prealloc_size_qy) { // Resize buffer if (vk_prealloc_qy.size > 0) { ggml_vk_destroy_buffer(vk_prealloc_qy); } vk_prealloc_qy = ggml_vk_create_buffer(vk_prealloc_size_qy, vk::MemoryPropertyFlagBits::eDeviceLocal); } - if (vk_prealloc_x.size < vk_prealloc_size_x) { + if (vk_prealloc_size_x > 0 && vk_prealloc_x.size < vk_prealloc_size_x) { // Resize buffer if (vk_prealloc_x.size > 0) { ggml_vk_destroy_buffer(vk_prealloc_x); } vk_prealloc_x = ggml_vk_create_buffer(vk_prealloc_size_x, vk::MemoryPropertyFlagBits::eDeviceLocal); } - if (vk_prealloc_y.size < vk_prealloc_size_y) { + if (vk_prealloc_size_y > 0 && vk_prealloc_y.size < vk_prealloc_size_y) { // Resize buffer if (vk_prealloc_y.size > 0) { ggml_vk_destroy_buffer(vk_prealloc_y); } vk_prealloc_y = ggml_vk_create_buffer(vk_prealloc_size_y, vk::MemoryPropertyFlagBits::eDeviceLocal); } - if (vk_prealloc_split_k.size < vk_prealloc_size_split_k) { + if (vk_prealloc_size_split_k > 0 && vk_prealloc_split_k.size < vk_prealloc_size_split_k) { // Resize buffer if (vk_prealloc_split_k.size > 0) { ggml_vk_destroy_buffer(vk_prealloc_split_k); } vk_prealloc_split_k = ggml_vk_create_buffer(vk_prealloc_size_split_k, vk::MemoryPropertyFlagBits::eDeviceLocal); } - if (vk_staging.size < vk_staging_size) { + if (vk_staging_size > 0 && vk_staging.size < vk_staging_size) { // Resize buffer if (vk_staging.size > 0) { ggml_vk_destroy_buffer(vk_staging); @@ -3913,7 +3765,7 @@ void ggml_vk_build_graph(ggml_tensor * node, bool last_node){ || (node->src[0] != nullptr && (node->src[0]->backend == GGML_BACKEND_GPU || node->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) || (node->src[1] != nullptr && node->src[1]->backend == GGML_BACKEND_GPU); - if ((!any_on_device && node->op != GGML_OP_MUL_MAT) || (node->op == GGML_OP_MUL_MAT && !any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node))) { + if (vk_disable || (!any_on_device && node->op != GGML_OP_MUL_MAT) || (node->op == GGML_OP_MUL_MAT && !any_on_device && !ggml_vk_can_mul_mat(node->src[0], node->src[1], node))) { return; } @@ -3928,13 +3780,6 @@ void ggml_vk_build_graph(ggml_tensor * node, bool last_node){ ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) node->extra; - // Set data to vk_buffer - // This can't be done earlier cause the buffer may not exist yet - if (extra->d_idx >= 0) { - extra->buffer_gpu = &vk_prealloc_d_buffers[extra->d_idx]; - extra->base_buffer_offset = 0; - } - switch (node->op) { case GGML_OP_UNARY: switch (ggml_get_unary_op(node)) { @@ -4065,6 +3910,8 @@ void ggml_vk_build_graph(ggml_tensor * node, bool last_node){ extra->ctx_idx = vk_ctx->idx; #ifdef GGML_VULKAN_CHECK_RESULTS + // Force context reset on each node so that each tensor ends up in its own context + // and can be run and compared to its CPU equivalent separately last_node = true; #endif @@ -4080,7 +3927,7 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) || (tensor->src[0] != nullptr && (tensor->src[0]->backend == GGML_BACKEND_GPU || tensor->src[0]->backend == GGML_BACKEND_GPU_SPLIT)) || (tensor->src[1] != nullptr && tensor->src[1]->backend == GGML_BACKEND_GPU); - if (!any_on_device && tensor->op != GGML_OP_MUL_MAT) { + if (vk_disable || (!any_on_device && tensor->op != GGML_OP_MUL_MAT)) { return false; } @@ -4143,7 +3990,7 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) } #ifdef VK_DEBUG - std::cerr << "ggml_vk_compute_forward(" << tensor << ", name=" << tensor->name << ", op=" << ggml_op_name(tensor->op) << ", type=" << tensor->type << ", backend=" << tensor->backend << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << ", view_src=" << tensor->view_src << ", view_offs=" << tensor->view_offs << ", buffer_gpu=" << extra->buffer_gpu << ")" << std::endl; + std::cerr << "ggml_vk_compute_forward(" << tensor << ", name=" << tensor->name << ", op=" << ggml_op_name(tensor->op) << ", type=" << tensor->type << ", backend=" << tensor->backend << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << ", view_src=" << tensor->view_src << ", view_offs=" << tensor->view_offs << ")" << std::endl; #endif #ifdef GGML_VULKAN_CHECK_RESULTS @@ -4187,6 +4034,9 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) } void ggml_vk_graph_cleanup() { + if (vk_disable) { + return; + } #ifdef VK_DEBUG std::cerr << "ggml_vk_graph_cleanup()" << std::endl; #endif @@ -4229,23 +4079,21 @@ void ggml_vk_cleanup() { #ifdef VK_DEBUG std::cerr << "ggml_vk_cleanup()" << std::endl; #endif - for (auto& buffer : vk_prealloc_d_buffers) { - ggml_vk_destroy_buffer(buffer); - } - vk_prealloc_d_buffers.clear(); - vk_prealloc_d_sizes.clear(); - - ggml_vk_destroy_buffer(vk_prealloc_qx); - ggml_vk_destroy_buffer(vk_prealloc_qy); ggml_vk_destroy_buffer(vk_prealloc_x); ggml_vk_destroy_buffer(vk_prealloc_y); + ggml_vk_destroy_buffer(vk_prealloc_split_k); ggml_vk_destroy_buffer(vk_staging); + ggml_vk_destroy_buffer(vk_sync_staging); - vk_prealloc_size_qx = 0; - vk_prealloc_size_qy = 0; vk_prealloc_size_x = 0; vk_prealloc_size_y = 0; + vk_prealloc_size_split_k = 0; vk_staging_size = 0; + + for (auto& event : vk_gc.events) { + vk_device.device.destroyEvent(event); + } + vk_gc.events.clear(); } // backend interface @@ -4258,19 +4106,21 @@ struct ggml_backend_vk_context { // device backend -static void * const vk_ptr_base = (void *)(uintptr_t) 0x1000; +static void * const vk_ptr_base = (void *)(uintptr_t) 0x1000; // NOLINT struct ggml_backend_vk_buffer_context { - // vk_buffer dev_buffer; + vk_buffer dev_buffer; ggml_tensor_extra_gpu * temp_tensor_extras = nullptr; size_t temp_tensor_extra_index = 0; std::string name; - ggml_backend_vk_buffer_context() : + ggml_backend_vk_buffer_context(vk_buffer dev_buffer) : + dev_buffer(dev_buffer), name(GGML_VK_NAME) { } ~ggml_backend_vk_buffer_context() { + ggml_vk_destroy_buffer(dev_buffer); delete[] temp_tensor_extras; } @@ -4299,7 +4149,6 @@ GGML_CALL static bool ggml_backend_buffer_is_vk(ggml_backend_buffer_t buffer) { GGML_CALL static void ggml_backend_vk_buffer_free_buffer(ggml_backend_buffer_t buffer) { ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; - // ggml_vk_pool_free(ctx->dev_buffer); delete ctx; } @@ -4311,30 +4160,30 @@ GGML_CALL static void * ggml_backend_vk_buffer_get_base(ggml_backend_buffer_t bu GGML_CALL static void ggml_backend_vk_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) { #ifdef VK_DEBUG - std::cerr << "ggml_backend_vk_buffer_init_tensor(" << buffer << ", " << tensor << ")" << std::endl; + std::cerr << "ggml_backend_vk_buffer_init_tensor(" << buffer << " (" << buffer->context << "), " << tensor << ")" << std::endl; #endif - // ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; - - // if (tensor->view_src != NULL && tensor->view_offs == 0) { - // assert(tensor->view_src->buffer->buft == buffer->buft); - // tensor->backend = tensor->view_src->backend; - // tensor->extra = tensor->view_src->extra; - // return; - // } - - // ggml_tensor_extra_gpu * extra = ctx->ggml_vk_alloc_temp_tensor_extra(); - // extra->buffer_gpu = &ctx->dev_buffer; - // extra->base_buffer_offset = (uint8_t *) tensor->data - (uint8_t *) vk_ptr_base; + ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; - tensor->backend = GGML_BACKEND_GPU; - // tensor->extra = extra; - if (tensor->op == GGML_OP_NONE) { - ggml_vk_assign_buffer(tensor); + ggml_tensor_extra_gpu * extra = ctx->ggml_vk_alloc_temp_tensor_extra(); + if (tensor->view_src != nullptr && tensor->view_src->extra != nullptr) { + ggml_tensor_extra_gpu * extra_view = (ggml_tensor_extra_gpu *) tensor->view_src->extra; + extra->buffer_gpu = extra_view->buffer_gpu; + extra->offset = extra_view->offset + tensor->view_offs; } else { - ggml_vk_preallocate_buffers_graph(tensor, nullptr); + extra->buffer_gpu = ctx->dev_buffer; + extra->offset = (uint8_t *) tensor->data - (uint8_t *) vk_ptr_base; } - UNUSED(buffer); + if (extra->offset + ggml_nbytes(tensor) > extra->buffer_gpu.size) { + std::cerr << "ERROR: Trying to assign tensor " << tensor << " outside of buffer size " << ctx->dev_buffer.size << " requested offset: " << extra->offset << " tensor size: " << ggml_nbytes(tensor) << std::endl; + if (tensor->view_src != nullptr) { + std::cerr << "view_src: " << tensor->view_src << " extra: " << tensor->view_src->extra << std::endl; + } + GGML_ASSERT(false); + } + + tensor->backend = GGML_BACKEND_GPU; + tensor->extra = extra; } GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) { @@ -4343,15 +4192,11 @@ GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t bu #endif GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); - // ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; - - // ggml_vk_buffer_write(&ctx->dev_buffer, offset, data, size, vk_device.transfer_queue); + ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; - ggml_vk_transform_tensor_static(data, tensor); + ggml_vk_buffer_write(&extra->buffer_gpu, extra->offset + offset, data, size, vk_device.transfer_queue); UNUSED(buffer); - UNUSED(offset); - UNUSED(size); } GGML_CALL static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) { @@ -4362,34 +4207,29 @@ GGML_CALL static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t bu ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; - ggml_vk_buffer_read(extra->buffer_gpu, offset, data, size, vk_device.transfer_queue); + ggml_vk_buffer_read(&extra->buffer_gpu, extra->offset + offset, data, size, vk_device.transfer_queue); UNUSED(buffer); } GGML_CALL static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * src, ggml_tensor * dst) { - // if (ggml_backend_buffer_is_vk(src->buffer)) { - // ggml_backend_vk_buffer_context * src_ctx = (ggml_backend_vk_buffer_context *)src->buffer->context; - // ggml_backend_vk_buffer_context * dst_ctx = (ggml_backend_vk_buffer_context *)buffer->context; + if (ggml_backend_buffer_is_vk(src->buffer)) { + ggml_tensor_extra_gpu * src_extra = (ggml_tensor_extra_gpu *) src->extra; + ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra; - // ggml_vk_buffer_copy(&dst_ctx->dev_buffer, 0, &src_ctx->dev_buffer, 0, ggml_nbytes(src), vk_device.transfer_queue); + ggml_vk_buffer_copy(&src_extra->buffer_gpu, src_extra->offset, &dst_extra->buffer_gpu, dst_extra->offset, ggml_nbytes(src), vk_device.transfer_queue); - // return true; - // } + return true; + } return false; UNUSED(buffer); - UNUSED(src); - UNUSED(dst); } GGML_CALL static void ggml_backend_vk_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { - // ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; - - // ggml_vk_buffer_memset(&ctx->dev_buffer, 0, value, buffer->size, vk_device.transfer_queue); + ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; - UNUSED(buffer); - UNUSED(value); + ggml_vk_buffer_memset(&ctx->dev_buffer, 0, value, buffer->size, vk_device.transfer_queue); } static ggml_backend_buffer_i ggml_backend_vk_buffer_interface = { @@ -4399,7 +4239,7 @@ static ggml_backend_buffer_i ggml_backend_vk_buffer_interface = { /* .init_tensor = */ ggml_backend_vk_buffer_init_tensor, /* .set_tensor = */ ggml_backend_vk_buffer_set_tensor, /* .get_tensor = */ ggml_backend_vk_buffer_get_tensor, - /* .cpy_tensor = */ NULL, // ggml_backend_vk_buffer_cpy_tensor, + /* .cpy_tensor = */ ggml_backend_vk_buffer_cpy_tensor, /* .clear = */ ggml_backend_vk_buffer_clear, /* .reset = */ NULL, }; @@ -4419,9 +4259,9 @@ GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_buffer_type_alloc_buffer( #ifdef VK_DEBUG std::cerr << "ggml_backend_vk_buffer_type_alloc_buffer(" << size << ")" << std::endl; #endif - // vk_buffer dev_buffer = ggml_vk_create_buffer(size, vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_buffer dev_buffer = ggml_vk_create_buffer(size, vk::MemoryPropertyFlagBits::eDeviceLocal); - ggml_backend_vk_buffer_context * ctx = new ggml_backend_vk_buffer_context(); + ggml_backend_vk_buffer_context * ctx = new ggml_backend_vk_buffer_context(dev_buffer); return ggml_backend_buffer_init(buft, ggml_backend_vk_buffer_interface, ctx, size); @@ -4551,15 +4391,8 @@ GGML_CALL static ggml_backend_buffer_type_t ggml_backend_vk_get_default_buffer_t GGML_CALL static bool ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cgraph * cgraph) { // ggml_backend_vk_context * vk_ctx = (ggml_backend_vk_context *)backend->context; - for (int i = 0; i < cgraph->n_leafs; i++) { - ggml_tensor * node = cgraph->leafs[i]; - if (node->backend == GGML_BACKEND_GPU && node->extra == nullptr) { - ggml_vk_transform_tensor_temporary(node->data, node); - } - } - for (int i = 0; i < cgraph->n_nodes; i++) { - ggml_vk_preallocate_buffers_graph(cgraph->nodes[i], cgraph); + ggml_vk_preallocate_buffers_graph(cgraph->nodes[i]); } ggml_vk_preallocate_buffers(); @@ -4579,6 +4412,7 @@ GGML_CALL static bool ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml bool ok = ggml_vk_compute_forward(¶ms, node); if (!ok) { + std::cerr << "Vulkan disable: " << vk_disable << std::endl; fprintf(stderr, "%s: error: op not supported %s (%s)\n", __func__, node->name, ggml_op_name(node->op)); } #ifdef GGML_VULKAN_CHECK_RESULTS @@ -4897,12 +4731,12 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) memcpy(src0_clone->nb, src0->nb, sizeof(size_t) * GGML_MAX_DIMS); } else if (src0->backend == GGML_BACKEND_GPU) { ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) src0->extra; - uint64_t offset = extra->base_buffer_offset + extra->view_offset; + uint64_t offset = extra->offset; if (!ggml_is_contiguous(src0) && ggml_vk_dim01_contiguous(src0)) { for (int i3 = 0; i3 < src0->ne[3]; i3++) { for (int i2 = 0; i2 < src0->ne[2]; i2++) { const int idx = i3*src0->ne[2] + i2; - ggml_vk_buffer_read(extra->buffer_gpu, offset + idx * src0->nb[2], ((char *)src0_clone->data + idx * src0_clone->nb[2]), src0->ne[1] * src0->nb[1], vk_device.transfer_queue); + ggml_vk_buffer_read(&extra->buffer_gpu, offset + idx * src0->nb[2], ((char *)src0_clone->data + idx * src0_clone->nb[2]), src0->ne[1] * src0->nb[1], vk_device.transfer_queue); } } @@ -4912,10 +4746,10 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) src0_clone->nb[i] = src0_clone->nb[i - 1]*src0_clone->ne[i - 1]; } } else { - if (offset + src0_size >= extra->buffer_gpu->size) { - src0_size = extra->buffer_gpu->size - offset; + if (offset + src0_size >= extra->buffer_gpu.size) { + src0_size = extra->buffer_gpu.size - offset; } - ggml_vk_buffer_read(extra->buffer_gpu, offset, src0_clone->data, src0_size, vk_device.transfer_queue); + ggml_vk_buffer_read(&extra->buffer_gpu, offset, src0_clone->data, src0_size, vk_device.transfer_queue); memcpy(src0_clone->nb, src0->nb, sizeof(size_t) * GGML_MAX_DIMS); } } else { @@ -4940,12 +4774,12 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) memcpy(src1_clone->nb, src1->nb, sizeof(size_t) * GGML_MAX_DIMS); } else if (src1->backend == GGML_BACKEND_GPU) { ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) src1->extra; - uint64_t offset = extra->base_buffer_offset + extra->view_offset; + uint64_t offset = extra->offset; if (!ggml_is_contiguous(src1) && ggml_vk_dim01_contiguous(src1)) { for (int i3 = 0; i3 < src1->ne[3]; i3++) { for (int i2 = 0; i2 < src1->ne[2]; i2++) { const int idx = i3*src1->ne[2] + i2; - ggml_vk_buffer_read(extra->buffer_gpu, offset + idx * src1->nb[2], ((char *)src1_clone->data + idx * src1_clone->nb[2]), src1->ne[1] * src1->nb[1], vk_device.transfer_queue); + ggml_vk_buffer_read(&extra->buffer_gpu, offset + idx * src1->nb[2], ((char *)src1_clone->data + idx * src1_clone->nb[2]), src1->ne[1] * src1->nb[1], vk_device.transfer_queue); } } @@ -4955,10 +4789,10 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) src1_clone->nb[i] = src1_clone->nb[i - 1]*src1_clone->ne[i - 1]; } } else { - if (offset + src1_size >= extra->buffer_gpu->size) { - src1_size = extra->buffer_gpu->size - offset; + if (offset + src1_size >= extra->buffer_gpu.size) { + src1_size = extra->buffer_gpu.size - offset; } - ggml_vk_buffer_read(extra->buffer_gpu, offset, src1_clone->data, src1_size, vk_device.transfer_queue); + ggml_vk_buffer_read(&extra->buffer_gpu, offset, src1_clone->data, src1_size, vk_device.transfer_queue); memcpy(src1_clone->nb, src1->nb, sizeof(size_t) * GGML_MAX_DIMS); } } else { @@ -5062,11 +4896,16 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) GGML_ASSERT(false); } + // Disable vulkan here to avoid the hooks in ggml.c + vk_disable = true; + ggml_cgraph * cgraph = ggml_new_graph(ctx); ggml_build_forward_expand(cgraph, tensor_clone); ggml_graph_compute_with_ctx(ctx, cgraph, 8); + vk_disable = false; + ggml_vk_check_tensor(ggml_op_name(tensor->op), tensor_clone); if (vk_output_tensor > 0 && vk_output_tensor == check_counter) { ggml_vk_print_tensor(tensor_clone, "tensor_clone"); @@ -5110,11 +4949,11 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; - if (extra->base_buffer_offset + extra->view_offset + tensor_size >= extra->buffer_gpu->size) { - tensor_size = extra->buffer_gpu->size - (extra->base_buffer_offset + extra->view_offset); + if (extra->offset + tensor_size >= extra->buffer_gpu.size) { + tensor_size = extra->buffer_gpu.size - (extra->offset); } - ggml_vk_buffer_read(extra->buffer_gpu, extra->base_buffer_offset + extra->view_offset, tensor_data, tensor_size, vk_device.transfer_queue); + ggml_vk_buffer_read(&extra->buffer_gpu, extra->offset, tensor_data, tensor_size, vk_device.transfer_queue); } float first_error_result = -1.0f; diff --git a/ggml-vulkan.h b/ggml-vulkan.h index 6ae010f8bb05f..128cf7bcad0ad 100644 --- a/ggml-vulkan.h +++ b/ggml-vulkan.h @@ -11,7 +11,7 @@ extern "C" { GGML_API void ggml_vk_init(void); -GGML_API void ggml_vk_preallocate_buffers_graph(struct ggml_tensor * node, struct ggml_cgraph * graph); +GGML_API void ggml_vk_preallocate_buffers_graph(struct ggml_tensor * node); GGML_API void ggml_vk_preallocate_buffers(void); GGML_API void ggml_vk_build_graph(struct ggml_tensor * node, bool last_node); GGML_API bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor); @@ -24,8 +24,6 @@ GGML_API void ggml_vk_graph_cleanup(void); GGML_API void * ggml_vk_host_malloc(size_t size); GGML_API void ggml_vk_host_free(void * ptr); -GGML_API void ggml_vk_free_data(const struct ggml_tensor * tensor); - GGML_API void ggml_vk_transform_tensor_temporary(const void * data, struct ggml_tensor * tensor); GGML_API void ggml_vk_transform_tensor_static(const void * data, struct ggml_tensor * tensor); GGML_API void ggml_vk_assign_buffer(struct ggml_tensor * tensor); diff --git a/ggml.c b/ggml.c index 8c4c5af3a5c82..56e1683b0a68c 100644 --- a/ggml.c +++ b/ggml.c @@ -16871,24 +16871,14 @@ int ggml_graph_compute(struct ggml_cgraph * cgraph, struct ggml_cplan * cplan) { } #ifdef GGML_USE_VULKAN - for (int i = 0; i < cgraph->n_leafs; i++) { - struct ggml_tensor * node = cgraph->leafs[i]; - if (node->backend == GGML_BACKEND_GPU && node->extra == NULL) { - ggml_vk_transform_tensor_temporary(node->data, node); - } - } - for (int i = 0; i < cgraph->n_nodes; i++) { - ggml_vk_preallocate_buffers_graph(cgraph->nodes[i], cgraph); + ggml_vk_preallocate_buffers_graph(cgraph->nodes[i]); } ggml_vk_preallocate_buffers(); for (int i = 0; i < cgraph->n_nodes; i++) { ggml_vk_build_graph(cgraph->nodes[i], i == cgraph->n_nodes - 1); } - - // Set last tensor to CPU to force copy to CPU - cgraph->nodes[cgraph->n_nodes - 1]->backend = GGML_BACKEND_CPU; #endif const int n_threads = cplan->n_threads; @@ -16941,6 +16931,10 @@ int ggml_graph_compute(struct ggml_cgraph * cgraph, struct ggml_cplan * cplan) { } } +#ifdef GGML_USE_VULKAN + ggml_vk_graph_cleanup(); +#endif + // performance stats (graph) { int64_t perf_cycles_cur = ggml_perf_cycles() - perf_start_cycles; diff --git a/llama.cpp b/llama.cpp index a56e7f5c0baef..0fcc30772c1ee 100644 --- a/llama.cpp +++ b/llama.cpp @@ -9489,7 +9489,6 @@ struct llama_context * llama_new_context_with_model( } #elif defined(GGML_USE_VULKAN) if (model->n_gpu_layers > 0) { - // with split_mode LLAMA_SPLIT_NONE or LLAMA_SPLIT_ROW, only the main GPU backend is used ggml_backend_t backend = ggml_backend_vk_init(); if (backend == nullptr) { LLAMA_LOG_ERROR("%s: failed to initialize Vulkan backend\n", __func__); From 00f214c33555e18dd4b19f5f33d42ec632cb7657 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 21 Jan 2024 12:52:52 +0100 Subject: [PATCH 125/142] Fix oversized host staging buffers --- ggml-vulkan.cpp | 33 ++++++++++++++++++--------------- 1 file changed, 18 insertions(+), 15 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 37afdcc0b6456..db46e6f7f4f08 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -758,12 +758,12 @@ static void ggml_vk_wait_events(vk::CommandBuffer& cmd_buffer, std::vectorsize) { + const size_t copy_size = ts*ne/bs; + if (vk_staging.size < vk_staging_offset + copy_size) { if (sync_staging) { // Create temporary larger buffer - if (vk_sync_staging.size < dst->size) { + if (vk_sync_staging.size < copy_size) { ggml_vk_destroy_buffer(vk_sync_staging); - vk_sync_staging = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); + vk_sync_staging = ggml_vk_create_buffer(copy_size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); } staging = &vk_sync_staging; @@ -1453,7 +1454,7 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ } } - VkBufferCopy buf_copy{ staging_offset, offset, ts*ne/bs }; + VkBufferCopy buf_copy{ staging_offset, offset, copy_size }; if (event != nullptr) { *event = ggml_vk_create_event(); @@ -1534,11 +1535,12 @@ static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_ // Staging buffer required vk_buffer * staging = &vk_staging; size_t staging_offset = vk_staging_offset; - if (vk_staging.size < vk_staging_offset + dst->size) { + const size_t copy_size = width*height; + if (vk_staging.size < vk_staging_offset + copy_size) { if (sync_staging) { - if (vk_sync_staging.size < dst->size) { + if (vk_sync_staging.size < copy_size) { ggml_vk_destroy_buffer(vk_sync_staging); - vk_sync_staging = ggml_vk_create_buffer(dst->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); + vk_sync_staging = ggml_vk_create_buffer(copy_size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); } staging = &vk_sync_staging; @@ -1551,7 +1553,7 @@ static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_ VkBufferCopy buf_copy = { staging_offset, offset, - width * height}; + copy_size}; if (event != nullptr) { *event = ggml_vk_create_event(); @@ -1654,12 +1656,13 @@ static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t // Fall back to staging buffer vk_buffer * staging = &vk_staging; size_t staging_offset = vk_staging_offset; - if (vk_staging.size < vk_staging_offset + src->size) { + const size_t copy_size = dpitch * height; + if (vk_staging.size < vk_staging_offset + copy_size) { if (sync_staging) { // Create temporary larger buffer - if (vk_sync_staging.size < src->size) { + if (vk_sync_staging.size < copy_size) { ggml_vk_destroy_buffer(vk_sync_staging); - vk_sync_staging = ggml_vk_create_buffer(src->size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); + vk_sync_staging = ggml_vk_create_buffer(copy_size, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); } staging = &vk_sync_staging; @@ -1674,7 +1677,7 @@ static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t GGML_ASSERT(memcpys != nullptr); - deferred_memcpy(dst, staging->ptr, dpitch * height, memcpys); + deferred_memcpy(dst, staging->ptr, copy_size, memcpys); } static void ggml_vk_buffer_read_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector* memcpys = nullptr, bool sync_staging = false) { From 1f55cd20a0b9a8454d7e6b047d6c5e78a76cf9fb Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 21 Jan 2024 13:27:09 +0100 Subject: [PATCH 126/142] Simplify barrier synchronization calls --- ggml-vulkan.cpp | 93 +++++++++++++++++++------------------------------ 1 file changed, 35 insertions(+), 58 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index db46e6f7f4f08..000dc791f3398 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -703,38 +703,18 @@ static vk_subbuffer ggml_vk_subbuffer(vk_buffer& buf) { return { buf, 0, VK_WHOLE_SIZE }; } -static void ggml_vk_sync_buffers(vk::CommandBuffer& cmd_buffer, std::vector&& buffers, vk_queue& q, bool force_sync) { +static void ggml_vk_sync_buffers(vk_context& ctx, vk_queue& q) { #ifdef VK_DEBUG std::cerr << "ggml_vk_sync_buffers()" << std::endl; #endif - std::vector bmem_barriers; - - uint32_t sfi; - uint32_t dfi; - - for (auto& buf : buffers) { - if (buf.buffer.qf_owner != VK_QUEUE_FAMILY_IGNORED && buf.buffer.qf_owner != q.queue_family_index) { - sfi = buf.buffer.qf_owner; - dfi = q.queue_family_index; - buf.buffer.qf_owner = dfi; - bmem_barriers.push_back({ { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite }, { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite }, sfi, dfi, buf.buffer.buffer, buf.offset, buf.size }); - } else if (force_sync) { - sfi = VK_QUEUE_FAMILY_IGNORED; - dfi = VK_QUEUE_FAMILY_IGNORED; - bmem_barriers.push_back({ { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite }, { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite }, sfi, dfi, buf.buffer.buffer, buf.offset, buf.size }); - } - } - - if (bmem_barriers.empty()) { - return; - } + const std::vector mem_barriers{ { { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite }, { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite } } }; - cmd_buffer.pipelineBarrier( + ctx.s->buffer.pipelineBarrier( q.stage_flags, q.stage_flags, {}, + mem_barriers, {}, - bmem_barriers, {} ); } @@ -1430,7 +1410,7 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ } } - ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, true); + ggml_vk_sync_buffers(ctx, q); ctx.s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); return; } @@ -1460,7 +1440,7 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ *event = ggml_vk_create_event(); ggml_vk_wait_events(ctx.s->buffer, { *event }, { vk::PipelineStageFlagBits::eHost }, q.stage_flags); } - ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, true); + ggml_vk_sync_buffers(ctx, q); vkCmdCopyBuffer(ctx.s->buffer, staging->buffer, dst->buffer, 1, &buf_copy); for (uint64_t i3 = 0; i3 < ne3; i3++) { @@ -1524,7 +1504,7 @@ static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_ } } - ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, true); + ggml_vk_sync_buffers(ctx, q); ctx.s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); return; } @@ -1559,7 +1539,7 @@ static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_ *event = ggml_vk_create_event(); ggml_vk_wait_events(ctx.s->buffer, { *event }, { vk::PipelineStageFlagBits::eHost }, q.stage_flags); } - ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*dst) }, q, true); + ggml_vk_sync_buffers(ctx, q); vkCmdCopyBuffer(ctx.s->buffer, staging->buffer, dst->buffer, 1, &buf_copy); if (width == spitch) { @@ -1644,7 +1624,7 @@ static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t if (buf != nullptr) { // Memory is pinned, use as staging buffer - ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*src) }, q, true); + ggml_vk_sync_buffers(ctx, q); ctx.s->buffer.copyBuffer(src->buffer, buf->buffer, slices); return; @@ -1672,7 +1652,7 @@ static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t } } - ggml_vk_sync_buffers(ctx.s->buffer, { ggml_vk_subbuffer(*src) }, q, true); + ggml_vk_sync_buffers(ctx, q); ctx.s->buffer.copyBuffer(src->buffer, staging->buffer, slices); GGML_ASSERT(memcpys != nullptr); @@ -1727,15 +1707,12 @@ static void ggml_vk_buffer_memset(vk_buffer* dst, size_t offset, uint32_t c, siz #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_memset(" << offset << ", " << c << ", " << size << ")" << std::endl; #endif - vk_submission submission = ggml_vk_create_submission(q, {}, {}); - - submission.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit }); - ggml_vk_sync_buffers(submission.buffer, { { *dst, (uint64_t)offset, (uint64_t)size } }, q, false); - submission.buffer.fillBuffer(dst->buffer, offset, size, c); - submission.buffer.end(); + vk_context * ctx = ggml_vk_create_context(); + ggml_vk_ctx_begin(*ctx, q); + ctx->s->buffer.fillBuffer(dst->buffer, offset, size, c); + ggml_vk_ctx_end(*ctx); - std::vector s = { { submission } }; - ggml_vk_submit(q, s, vk_fence); + ggml_vk_submit(q, ctx->seqs, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_memset waitForFences"); vk_device.device.resetFences({ vk_fence }); } @@ -1894,7 +1871,7 @@ static void ggml_vk_matmul(vk_context& ctx, vk_pipeline& pipeline, vk_subbuffer& std::cerr << "ggml_vk_matmul(a: (" << a.buffer.buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer.buffer << ", " << b.offset << ", " << b.size << "), c: (" << d.buffer.buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << split_k_buffer.buffer.buffer << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", split_k: " << split_k << ", d_offset: " << d_offset << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ")" << std::endl; #endif if (split_k == 1) { - ggml_vk_sync_buffers(ctx.s->buffer, { a, b, d }, q, true); + ggml_vk_sync_buffers(ctx, q); const std::array pc = { m, n, k, stride_a, stride_b, stride_d, k, d_offset, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d }; ggml_vk_dispatch_pipeline(*ctx.s, pipeline, { a, b, d }, pc.size() * sizeof(uint32_t), pc.data(), { m, n, batch }); return; @@ -1902,11 +1879,11 @@ static void ggml_vk_matmul(vk_context& ctx, vk_pipeline& pipeline, vk_subbuffer& GGML_ASSERT(batch_stride_d == m * n); - ggml_vk_sync_buffers(ctx.s->buffer, { a, b, split_k_buffer }, q, true); + ggml_vk_sync_buffers(ctx, q); // Synchronize the two submissions const std::array pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k), 0, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d * split_k }; ggml_vk_dispatch_pipeline(*ctx.s, pipeline, { a, b, split_k_buffer }, pc1.size() * sizeof(uint32_t), pc1.data(), { m * split_k, n, batch }); - ggml_vk_sync_buffers(ctx.s->buffer, { split_k_buffer, d }, q, true); + ggml_vk_sync_buffers(ctx, q); const std::array pc2 = { (uint32_t)(m * n * batch), split_k, d_offset }; ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(uint32_t), pc2.data(), { m * n * batch, 1, 1 }); return; @@ -1954,7 +1931,7 @@ static void ggml_vk_cpy_to_contiguous(vk_context& ctx, vk_pipeline * pipeline, c (uint32_t)tensor->ne[0], (uint32_t)tensor->ne[1], 1 , (uint32_t)tensor->ne[0] , nb2, 0, }; - ggml_vk_sync_buffers(ctx.s->buffer, { in, out }, compq, true); + ggml_vk_sync_buffers(ctx, compq); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { in, out }, sizeof(vk_op_cpy_push_constants), &pc, { ne, 1, 1 }); } @@ -2103,7 +2080,7 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con if (qx_needs_dequant) { const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 }, { *d_X, 0, x_sz * ne02 * ne03 } }, compq, true); + ggml_vk_sync_buffers(ctx, compq); ggml_vk_dispatch_pipeline(*ctx.s, *to_fp16_vk_0, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 }, { *d_X, 0, x_sz * ne02 * ne03 } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)(x_ne * ne02 * ne03), 1, 1}); } } @@ -2285,19 +2262,19 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, if (!y_non_contig && qy_needs_dequant) { const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, compq, true); + ggml_vk_sync_buffers(ctx, compq); ggml_vk_dispatch_pipeline(*ctx.s, *to_fp16_vk_1, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); } // compute const std::array pc = { (int)ne00, (int)(y_shader_offset / ggml_type_size(src1->type)), (int)(d_shader_offset / ggml_type_size(dst->type))}; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, true); + ggml_vk_sync_buffers(ctx, compq); ggml_vk_dispatch_pipeline(*ctx.s, *dmmv, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 3 * sizeof(int), &pc, { (uint32_t)ne01, 1, 1}); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, true); + ggml_vk_sync_buffers(ctx, compq); ggml_vk_buffer_read_async(ctx, d_D, d_offset, d, sizeof(float) * d_ne, compq, &extra->out_memcpys); } } @@ -2377,13 +2354,13 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor // compute const std::array pc = { (uint32_t)ne00, (uint32_t)ne01, (uint32_t)ne02, (uint32_t)ne12, (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) }; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, true); + ggml_vk_sync_buffers(ctx, compq); ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_mul_mat_vec_p021_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 6 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) dst->data; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, true); + ggml_vk_sync_buffers(ctx, compq); ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne, compq, &extra->out_memcpys); } } @@ -2465,13 +2442,13 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * // compute const std::array pc = { (uint32_t)ne00, (uint32_t)ne01, row_stride_x, channel_stride_x, (uint32_t)(ne12 / ne02), (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) }; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, true); + ggml_vk_sync_buffers(ctx, compq); ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_mul_mat_vec_nc_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 7 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) dst->data; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, compq, true); + ggml_vk_sync_buffers(ctx, compq); ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne, compq, &extra->out_memcpys); } } @@ -2567,7 +2544,7 @@ static void ggml_vk_op_repeat(vk_context& ctx, const ggml_tensor * src0, const g } } - ggml_vk_sync_buffers(ctx.s->buffer, { { *src_buf, src_offset, ggml_nbytes(src0) }, { *dst_buf, dst_offset, ggml_nbytes(dst) } }, vk_device.compute_queue, true); + ggml_vk_sync_buffers(ctx, vk_device.compute_queue); ctx.s->buffer.copyBuffer(src_buf->buffer, dst_buf->buffer, copies); (void) src1; @@ -2816,13 +2793,13 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml if (!use_src1 && op == GGML_OP_SOFT_MAX) { // Empty src1 is possible on soft_max, but the shader needs a buffer - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset, d_sz } }, vk_device.compute_queue, true); + ggml_vk_sync_buffers(ctx, vk_device.compute_queue); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else if (use_src1) { - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz }, { *d_D, d_buf_offset, d_sz } }, vk_device.compute_queue, true); + ggml_vk_sync_buffers(ctx, vk_device.compute_queue); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else { - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset, d_sz } }, vk_device.compute_queue, true); + ggml_vk_sync_buffers(ctx, vk_device.compute_queue); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } if (dst->backend == GGML_BACKEND_CPU && op == GGML_OP_CPY) { @@ -2860,13 +2837,13 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml if (!use_src1 && op == GGML_OP_SOFT_MAX) { // Empty src1 is possible on soft_max, but the shader needs a buffer - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, vk_device.compute_queue, true); + ggml_vk_sync_buffers(ctx, vk_device.compute_queue); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else if (use_src1) { - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, vk_device.compute_queue, true); + ggml_vk_sync_buffers(ctx, vk_device.compute_queue); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); } else { - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_X, x_offset, x_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, vk_device.compute_queue, true); + ggml_vk_sync_buffers(ctx, vk_device.compute_queue); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); } if (dst->backend == GGML_BACKEND_CPU) { @@ -2974,7 +2951,7 @@ static void ggml_vk_nop(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra; ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; vk_buffer * d_D = &extra_src0->buffer_gpu; - ggml_vk_sync_buffers(ctx.s->buffer, { { *d_D, 0, VK_WHOLE_SIZE } }, vk_device.compute_queue, true); + ggml_vk_sync_buffers(ctx, vk_device.compute_queue); ggml_vk_buffer_read_async(ctx, d_D, 0, dst->data, d_D->size, vk_device.compute_queue, &extra->out_memcpys); } } From 7fa5ca9e62a7f32d83978a17c7ea903a0c24cea1 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 21 Jan 2024 13:31:15 +0100 Subject: [PATCH 127/142] Fix gcc warnings --- ggml-vulkan.cpp | 15 ++------------- 1 file changed, 2 insertions(+), 13 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 000dc791f3398..82225564f231b 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1635,7 +1635,6 @@ static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t // Fall back to staging buffer vk_buffer * staging = &vk_staging; - size_t staging_offset = vk_staging_offset; const size_t copy_size = dpitch * height; if (vk_staging.size < vk_staging_offset + copy_size) { if (sync_staging) { @@ -1646,7 +1645,6 @@ static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t } staging = &vk_sync_staging; - staging_offset = 0; } else { GGML_ASSERT(false); } @@ -2302,7 +2300,7 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor const uint64_t ne10 = src1->ne[0]; const uint64_t ne11 = src1->ne[1]; const uint64_t ne12 = src1->ne[2]; - const uint64_t ne13 = src1->ne[3]; + // const uint64_t ne13 = src1->ne[3]; GGML_ASSERT(ne11 == 1); @@ -2389,7 +2387,7 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * // const uint64_t ne10 = src1->ne[0]; const uint64_t ne11 = src1->ne[1]; const uint64_t ne12 = src1->ne[2]; - const uint64_t ne13 = src1->ne[3]; + // const uint64_t ne13 = src1->ne[3]; GGML_ASSERT(ne11 == 1); @@ -3556,16 +3554,7 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ const int64_t ne22 = node->ne[2]; const int64_t ne23 = node->ne[3]; - const bool transfer_src0 = use_src0 && src0->backend != GGML_BACKEND_GPU; - const bool transfer_src1 = use_src1 && src1->backend != GGML_BACKEND_GPU; - - const bool x_non_contig = use_src0 && !ggml_vk_dim01_contiguous(src0); - const bool y_non_contig = use_src1 && !ggml_vk_dim01_contiguous(src1); - - const bool qvec_kernel = use_src0 && use_src1 && src1->ne[1] == 1 && (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)); - const bool qx_needs_dequant = use_src0 && !qvec_kernel && !x_non_contig && (src0->type != GGML_TYPE_F16 || x_non_contig); const bool f16_f32_kernel = use_src1 && src1->type == GGML_TYPE_F32; - const bool qy_needs_dequant = (use_src1 && (src1->type != GGML_TYPE_F16 && !f16_f32_kernel)) || y_non_contig; int split_k; if (node->op == GGML_OP_MUL_MAT) { From f652ebfd544ef9705f3ec30c007ea6d6a5912613 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Mon, 22 Jan 2024 18:39:04 +0100 Subject: [PATCH 128/142] Implement max_size for backend buffer types to limit the size of a single allocation --- ggml-alloc.c | 115 +++++++++++++++++++++++++++++++++++++------- ggml-backend-impl.h | 15 ++++++ ggml-backend.c | 75 ++++++++++++++++++++++++++++- ggml-backend.h | 3 ++ ggml-cuda.cu | 3 ++ ggml-metal.m | 1 + ggml-opencl.cpp | 2 + ggml-vulkan.cpp | 18 ++++++- 8 files changed, 212 insertions(+), 20 deletions(-) diff --git a/ggml-alloc.c b/ggml-alloc.c index 89b85d34870d7..faca771934799 100644 --- a/ggml-alloc.c +++ b/ggml-alloc.c @@ -780,6 +780,7 @@ ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_conte GGML_ASSERT(ggml_get_no_alloc(ctx) == true); size_t alignment = ggml_backend_buft_get_alignment(buft); + size_t max_size = ggml_backend_buft_get_max_size(buft); size_t nbytes = 0; for (struct ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) { @@ -796,35 +797,115 @@ ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_conte return NULL; } - ggml_backend_buffer_t buffer = ggml_backend_buft_alloc_buffer(buft, nbytes); - if (buffer == NULL) { - // failed to allocate buffer + // single buffer allocation + if (nbytes <= max_size) { + ggml_backend_buffer_t buffer = ggml_backend_buft_alloc_buffer(buft, nbytes); + if (buffer == NULL) { + // failed to allocate buffer #ifndef NDEBUG - fprintf(stderr, "%s: failed to allocate buffer\n", __func__); + fprintf(stderr, "%s: failed to allocate buffer\n", __func__); #endif - return NULL; + return NULL; + } + + ggml_tallocr_t tallocr = ggml_tallocr_new_from_buffer(buffer); + + for (struct ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) { + if (t->data == NULL) { + if (t->view_src == NULL) { + ggml_tallocr_alloc(tallocr, t); + } else { + ggml_backend_view_init(buffer, t); + } + } else { + if (t->view_src != NULL) { + // view of a pre-allocated tensor + ggml_backend_view_init(buffer, t); + } + } + } + + ggml_tallocr_free(tallocr); + + return buffer; } - ggml_tallocr_t tallocr = ggml_tallocr_new_from_buffer(buffer); + // multi-buffer + size_t n_allocs = (nbytes - 1 + max_size) / max_size; + size_t * nbytes_per_alloc = (size_t *) malloc(n_allocs * sizeof(size_t)); + memset(nbytes_per_alloc, 0, n_allocs * sizeof(size_t)); + // Calculate nbytes per alloc + size_t alloc_idx = 0; for (struct ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) { - if (t->data == NULL) { - if (t->view_src == NULL) { - ggml_tallocr_alloc(tallocr, t); - } else { - ggml_backend_view_init(buffer, t); + if (t->data == NULL && t->view_src == NULL) { + size_t tensor_size = GGML_PAD(ggml_backend_buft_get_alloc_size(buft, t), alignment); + if (nbytes_per_alloc[alloc_idx] + tensor_size > max_size) { + // Move to next allocation + alloc_idx += 1; } - } else { - if (t->view_src != NULL) { - // view of a pre-allocated tensor - ggml_backend_view_init(buffer, t); + nbytes_per_alloc[alloc_idx] += tensor_size; + } + } + + ggml_backend_buffer_t multi_buffer = ggml_backend_multi_buffer_alloc_buffer(n_allocs, buft, nbytes); + ggml_backend_multi_buffer_context_t multi_ctx = (ggml_backend_multi_buffer_context_t) multi_buffer->context; + + size_t bytes_counter = 0; + struct ggml_tensor * current_tensor = ggml_get_first_tensor(ctx); + + for (alloc_idx = 0; alloc_idx < n_allocs; alloc_idx++) { + ggml_backend_buffer_t buffer = ggml_backend_buft_alloc_buffer(buft, nbytes_per_alloc[alloc_idx]); + if (buffer == NULL) { + // failed to allocate buffer +#ifndef NDEBUG + fprintf(stderr, "%s: failed to allocate buffer\n", __func__); +#endif + + // free previously allocated buffers + for (size_t dealloc_idx = 0; dealloc_idx < alloc_idx; dealloc_idx++) { + ggml_backend_buffer_free(multi_ctx->buffers[dealloc_idx]); + } + + free(nbytes_per_alloc); + + return NULL; + } + + multi_ctx->buffers[alloc_idx] = buffer; + + ggml_tallocr_t tallocr = ggml_tallocr_new_from_buffer(buffer); + + for (; current_tensor != NULL; current_tensor = ggml_get_next_tensor(ctx, current_tensor)) { + size_t tensor_size = GGML_PAD(ggml_backend_buft_get_alloc_size(buft, current_tensor), alignment); + + if (bytes_counter + tensor_size > max_size) { + // tensor uses next buffer + bytes_counter = 0; + break; + } + + bytes_counter += tensor_size; + if (current_tensor->data == NULL) { + if (current_tensor->view_src == NULL) { + ggml_tallocr_alloc(tallocr, current_tensor); + } else { + ggml_backend_view_init(buffer, current_tensor); + } + } else { + if (current_tensor->view_src != NULL) { + // view of a pre-allocated tensor + ggml_backend_view_init(buffer, current_tensor); + } } } + + ggml_tallocr_free(tallocr); } - ggml_tallocr_free(tallocr); + free(nbytes_per_alloc); - return buffer; + return multi_buffer; } ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors(struct ggml_context * ctx, ggml_backend_t backend) { diff --git a/ggml-backend-impl.h b/ggml-backend-impl.h index 1397828d9ac71..f7919fe2776a9 100644 --- a/ggml-backend-impl.h +++ b/ggml-backend-impl.h @@ -19,6 +19,7 @@ extern "C" { const char * (*GGML_CALL get_name) (ggml_backend_buffer_type_t buft); ggml_backend_buffer_t (*GGML_CALL alloc_buffer) (ggml_backend_buffer_type_t buft, size_t size); size_t (*GGML_CALL get_alignment) (ggml_backend_buffer_type_t buft); // tensor alignment + size_t (*GGML_CALL get_max_size) (ggml_backend_buffer_type_t buft); // allocation max size size_t (*GGML_CALL get_alloc_size) (ggml_backend_buffer_type_t buft, const struct ggml_tensor * tensor); // data size needed to allocate the tensor, including padding bool (*GGML_CALL supports_backend)(ggml_backend_buffer_type_t buft, ggml_backend_t backend); // check if the buffer type is usable by the backend // check if tensor data is in host memory @@ -63,6 +64,20 @@ extern "C" { // do not use directly, use ggml_backend_tensor_copy instead bool ggml_backend_buffer_copy_tensor(const struct ggml_tensor * src, struct ggml_tensor * dst); + // multi-buffer + struct ggml_backend_multi_buffer_context { + ggml_backend_buffer_t * buffers; + size_t n_buffers; + }; + + typedef struct ggml_backend_multi_buffer_context * ggml_backend_multi_buffer_context_t; + + GGML_CALL const char* ggml_backend_multi_buffer_get_name(ggml_backend_buffer_t buffer); + GGML_CALL ggml_backend_buffer_t ggml_backend_multi_buffer_alloc_buffer(size_t n_buffers, ggml_backend_buffer_type_t buft, size_t nbytes); + GGML_CALL void ggml_backend_multi_buffer_free_buffer(ggml_backend_buffer_t buffer); + GGML_CALL void ggml_backend_multi_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value); + struct ggml_backend_buffer_i ggml_backend_multi_buffer_context_interface(void); + // // Backend // diff --git a/ggml-backend.c b/ggml-backend.c index f5424fb904117..af989dec85ddc 100644 --- a/ggml-backend.c +++ b/ggml-backend.c @@ -27,6 +27,14 @@ size_t ggml_backend_buft_get_alignment(ggml_backend_buffer_type_t buft) { return buft->iface.get_alignment(buft); } +size_t ggml_backend_buft_get_max_size(ggml_backend_buffer_type_t buft) { + // get_max_size is optional, defaults to UINT64_MAX + if (buft->iface.get_max_size) { + return buft->iface.get_max_size(buft); + } + return UINT64_MAX; +} + GGML_CALL size_t ggml_backend_buft_get_alloc_size(ggml_backend_buffer_type_t buft, struct ggml_tensor * tensor) { // get_alloc_size is optional, defaults to ggml_nbytes if (buft->iface.get_alloc_size) { @@ -55,8 +63,6 @@ GGML_CALL ggml_backend_buffer_t ggml_backend_buffer_init( size_t size) { ggml_backend_buffer_t buffer = malloc(sizeof(struct ggml_backend_buffer)); - GGML_ASSERT(iface.get_base != NULL); - (*buffer) = (struct ggml_backend_buffer) { /* .interface = */ iface, /* .buft = */ buft, @@ -106,6 +112,10 @@ size_t ggml_backend_buffer_get_alignment (ggml_backend_buffer_t buffer) { return ggml_backend_buft_get_alignment(ggml_backend_buffer_get_type(buffer)); } +size_t ggml_backend_buffer_get_max_size(ggml_backend_buffer_t buffer) { + return ggml_backend_buft_get_max_size(ggml_backend_buffer_get_type(buffer)); +} + size_t ggml_backend_buffer_get_alloc_size(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor) { return ggml_backend_buft_get_alloc_size(ggml_backend_buffer_get_type(buffer), tensor); } @@ -169,6 +179,10 @@ size_t ggml_backend_get_alignment(ggml_backend_t backend) { return ggml_backend_buft_get_alignment(ggml_backend_get_default_buffer_type(backend)); } +size_t ggml_backend_get_max_size(ggml_backend_t backend) { + return ggml_backend_buft_get_max_size(ggml_backend_get_default_buffer_type(backend)); +} + void ggml_backend_tensor_set_async(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) { GGML_ASSERT(tensor->data != NULL && "tensor not allocated"); GGML_ASSERT(offset + size <= ggml_nbytes(tensor) && "tensor write out of bounds"); @@ -342,6 +356,11 @@ GGML_CALL static void ggml_backend_registry_init(void) { extern GGML_CALL ggml_backend_buffer_type_t ggml_backend_metal_buffer_type(void); ggml_backend_register("Metal", ggml_backend_reg_metal_init, ggml_backend_metal_buffer_type(), NULL); #endif + +#ifdef GGML_USE_VULKAN + extern GGML_CALL int ggml_backend_vk_reg_devices(void); + ggml_backend_vk_reg_devices(); +#endif } GGML_CALL void ggml_backend_register(const char * name, ggml_backend_init_fn init_fn, ggml_backend_buffer_type_t default_buffer_type, void * user_data) { @@ -545,6 +564,7 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_cpu_buffer_type(void) { /* .get_name = */ ggml_backend_cpu_buffer_type_get_name, /* .alloc_buffer = */ ggml_backend_cpu_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_cpu_buffer_type_get_alignment, + /* .get_max_size = */ NULL, // defaults to UINT64_MAX /* .get_alloc_size = */ NULL, // defaults to ggml_nbytes /* .supports_backend = */ ggml_backend_cpu_buffer_type_supports_backend, /* .is_host = */ ggml_backend_cpu_buffer_type_is_host, @@ -600,6 +620,7 @@ ggml_backend_buffer_type_t ggml_backend_cpu_hbm_buffer_type(void) { /* .get_name = */ ggml_backend_cpu_hbm_buffer_type_get_name, /* .alloc_buffer = */ ggml_backend_cpu_hbm_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_cpu_buffer_type_get_alignment, + /* .get_max_size = */ NULL, // defaults to UINT64_MAX /* .get_alloc_size = */ NULL, // defaults to ggml_nbytes /* .supports_backend = */ ggml_backend_cpu_buffer_type_supports_backend, /* .is_host = */ ggml_backend_cpu_buffer_type_is_host, @@ -755,6 +776,56 @@ GGML_CALL static ggml_backend_t ggml_backend_reg_cpu_init(const char * params, v } +// multi-buffer buffer + +GGML_CALL const char * ggml_backend_multi_buffer_get_name(ggml_backend_buffer_t buffer) { + ggml_backend_multi_buffer_context_t ctx = (ggml_backend_multi_buffer_context_t) buffer->context; + + return ctx->buffers[0]->iface.get_name(ctx->buffers[0]); +} + +GGML_CALL ggml_backend_buffer_t ggml_backend_multi_buffer_alloc_buffer(size_t n_buffers, ggml_backend_buffer_type_t buft, size_t nbytes) { + ggml_backend_multi_buffer_context_t ctx = (ggml_backend_multi_buffer_context_t) malloc(sizeof(struct ggml_backend_multi_buffer_context)); + ctx->n_buffers = n_buffers; + ctx->buffers = (ggml_backend_buffer_t *) malloc(n_buffers * sizeof(ggml_backend_buffer_t)); + + return ggml_backend_buffer_init(buft, ggml_backend_multi_buffer_context_interface(), ctx, nbytes); +} + +GGML_CALL void ggml_backend_multi_buffer_free_buffer(ggml_backend_buffer_t buffer) { + ggml_backend_multi_buffer_context_t ctx = (ggml_backend_multi_buffer_context_t) buffer->context; + for (size_t i = 0; i < ctx->n_buffers; i++) { + ggml_backend_buffer_free(ctx->buffers[i]); + } + + free(ctx->buffers); + free(ctx); +} + +GGML_CALL void ggml_backend_multi_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { + ggml_backend_multi_buffer_context_t ctx = (ggml_backend_multi_buffer_context_t) buffer->context; + for (size_t i = 0; i < ctx->n_buffers; i++) { + ggml_backend_buffer_clear(ctx->buffers[i], value); + } +} + +struct ggml_backend_buffer_i ggml_backend_multi_buffer_context_interface(void) { + static struct ggml_backend_buffer_i multi_backend_buffer_i = { + /* .get_name = */ ggml_backend_multi_buffer_get_name, + /* .free_buffer = */ ggml_backend_multi_buffer_free_buffer, + /* .get_base = */ NULL, + /* .init_tensor = */ NULL, + /* .set_tensor = */ NULL, + /* .get_tensor = */ NULL, + /* .cpy_tensor = */ NULL, + /* .clear = */ ggml_backend_multi_buffer_clear, + /* .reset = */ NULL, + }; + + return multi_backend_buffer_i; +} + + // scheduler #define GGML_MAX_BACKENDS 16 diff --git a/ggml-backend.h b/ggml-backend.h index 12b4b4ab74935..de7b4255fd21a 100644 --- a/ggml-backend.h +++ b/ggml-backend.h @@ -20,6 +20,7 @@ extern "C" { GGML_API const char * ggml_backend_buft_name (ggml_backend_buffer_type_t buft); GGML_API GGML_CALL ggml_backend_buffer_t ggml_backend_buft_alloc_buffer (ggml_backend_buffer_type_t buft, size_t size); GGML_API size_t ggml_backend_buft_get_alignment (ggml_backend_buffer_type_t buft); + GGML_API size_t ggml_backend_buft_get_max_size (ggml_backend_buffer_type_t buft); GGML_API GGML_CALL size_t ggml_backend_buft_get_alloc_size (ggml_backend_buffer_type_t buft, struct ggml_tensor * tensor); GGML_API bool ggml_backend_buft_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend); GGML_API bool ggml_backend_buft_is_host (ggml_backend_buffer_type_t buft); @@ -36,6 +37,7 @@ extern "C" { GGML_API size_t ggml_backend_buffer_get_size (ggml_backend_buffer_t buffer); GGML_API GGML_CALL void ggml_backend_buffer_init_tensor (ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); GGML_API size_t ggml_backend_buffer_get_alignment (ggml_backend_buffer_t buffer); + GGML_API size_t ggml_backend_buffer_get_max_size (ggml_backend_buffer_t buffer); GGML_API size_t ggml_backend_buffer_get_alloc_size(ggml_backend_buffer_t buffer, struct ggml_tensor * tensor); GGML_API void ggml_backend_buffer_clear (ggml_backend_buffer_t buffer, uint8_t value); GGML_API bool ggml_backend_buffer_is_host (ggml_backend_buffer_t buffer); @@ -54,6 +56,7 @@ extern "C" { GGML_API ggml_backend_buffer_type_t ggml_backend_get_default_buffer_type(ggml_backend_t backend); GGML_API ggml_backend_buffer_t ggml_backend_alloc_buffer(ggml_backend_t backend, size_t size); GGML_API size_t ggml_backend_get_alignment(ggml_backend_t backend); + GGML_API size_t ggml_backend_get_max_size(ggml_backend_t backend); GGML_API void ggml_backend_tensor_set_async(ggml_backend_t backend, struct ggml_tensor * tensor, const void * data, size_t offset, size_t size); GGML_API void ggml_backend_tensor_get_async(ggml_backend_t backend, const struct ggml_tensor * tensor, void * data, size_t offset, size_t size); diff --git a/ggml-cuda.cu b/ggml-cuda.cu index 568c411afd3ee..b25c4a8fb071c 100644 --- a/ggml-cuda.cu +++ b/ggml-cuda.cu @@ -10428,6 +10428,7 @@ static ggml_backend_buffer_type_i ggml_backend_cuda_buffer_type_interface = { /* .get_name = */ ggml_backend_cuda_buffer_type_name, /* .alloc_buffer = */ ggml_backend_cuda_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_cuda_buffer_type_get_alignment, + /* .get_max_size = */ NULL, // defaults to UINT64_MAX /* .get_alloc_size = */ ggml_backend_cuda_buffer_type_get_alloc_size, /* .supports_backend = */ ggml_backend_cuda_buffer_type_supports_backend, /* .is_host = */ NULL, @@ -10703,6 +10704,7 @@ static ggml_backend_buffer_type_i ggml_backend_cuda_split_buffer_type_interface /* .get_name = */ ggml_backend_cuda_split_buffer_type_name, /* .alloc_buffer = */ ggml_backend_cuda_split_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_cuda_split_buffer_type_get_alignment, + /* .get_max_size = */ NULL, // defaults to UINT64_MAX /* .get_alloc_size = */ ggml_backend_cuda_split_buffer_type_get_alloc_size, /* .supports_backend = */ ggml_backend_cuda_split_buffer_type_supports_backend, /* .is_host = */ ggml_backend_cuda_split_buffer_type_is_host, @@ -10782,6 +10784,7 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_host_buffer_type() { /* .get_name = */ ggml_backend_cuda_host_buffer_type_name, /* .alloc_buffer = */ ggml_backend_cuda_host_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_cpu_buffer_type()->iface.get_alignment, + /* .get_max_size = */ NULL, // defaults to UINT64_MAX /* .get_alloc_size = */ ggml_backend_cpu_buffer_type()->iface.get_alloc_size, /* .supports_backend = */ ggml_backend_cpu_buffer_type()->iface.supports_backend, /* .is_host = */ ggml_backend_cpu_buffer_type()->iface.is_host, diff --git a/ggml-metal.m b/ggml-metal.m index a549e6713e9bc..35a077299de94 100644 --- a/ggml-metal.m +++ b/ggml-metal.m @@ -2445,6 +2445,7 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_metal_buffer_type(void) { /* .get_name = */ ggml_backend_metal_buffer_type_get_name, /* .alloc_buffer = */ ggml_backend_metal_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_metal_buffer_type_get_alignment, + /* .get_max_size = */ NULL, // defaults to UINT64_MAX /* .get_alloc_size = */ NULL, // defaults to ggml_nbytes /* .supports_backend = */ ggml_backend_metal_buffer_type_supports_backend, /* .is_host = */ ggml_backend_metal_buffer_type_is_host, diff --git a/ggml-opencl.cpp b/ggml-opencl.cpp index 2bb93638f1c7c..db56337ffe81b 100644 --- a/ggml-opencl.cpp +++ b/ggml-opencl.cpp @@ -2055,6 +2055,7 @@ static ggml_backend_buffer_type_i ggml_backend_opencl_buffer_type_interface = { /* .get_name = */ ggml_backend_opencl_buffer_type_name, /* .alloc_buffer = */ ggml_backend_opencl_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_opencl_buffer_type_get_alignment, + /* .get_max_size = */ NULL, // defaults to UINT64_MAX /* .get_alloc_size = */ NULL, /* .supports_backend = */ ggml_backend_opencl_buffer_type_supports_backend, /* .is_host = */ NULL, @@ -2111,6 +2112,7 @@ ggml_backend_buffer_type_t ggml_backend_opencl_host_buffer_type() { /* .get_name = */ ggml_backend_opencl_host_buffer_type_name, /* .alloc_buffer = */ ggml_backend_opencl_host_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_cpu_buffer_type()->iface.get_alignment, + /* .get_max_size = */ NULL, // defaults to UINT64_MAX /* .get_alloc_size = */ ggml_backend_cpu_buffer_type()->iface.get_alloc_size, /* .supports_backend = */ ggml_backend_cpu_buffer_type()->iface.supports_backend, /* .is_host = */ ggml_backend_cpu_buffer_type()->iface.is_host, diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 82225564f231b..722bbe37ab715 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -121,6 +121,7 @@ typedef std::vector vk_sequence; struct vk_device { vk::PhysicalDevice physical_device; vk::PhysicalDeviceProperties properties; + uint64_t max_memory_allocation_size; bool fp16; vk::Device device; uint32_t vendor_id; @@ -972,7 +973,14 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; vk_instance = vk::createInstance(instance_create_info); vk_device.physical_device = vk_instance.enumeratePhysicalDevices()[dev_num]; - vk_device.properties = vk_device.physical_device.getProperties(); + vk::PhysicalDeviceProperties2 props2; + vk::PhysicalDeviceMaintenance3Properties props3; + props3.pNext = nullptr; + props2.pNext = &props3; + vk_device.physical_device.getProperties2(&props2); + vk_device.properties = props2.properties; + vk_device.max_memory_allocation_size = props3.maxMemoryAllocationSize; + std::cerr << "ggml_vulkan: Using " << vk_device.properties.deviceName << std::endl; vk_device.vendor_id = vk_device.properties.vendorID; @@ -4243,6 +4251,12 @@ GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alignment(ggml_backend_b UNUSED(buft); } +GGML_CALL static size_t ggml_backend_vk_buffer_type_get_max_size(ggml_backend_buffer_type_t buft) { + return vk_device.max_memory_allocation_size; + + UNUSED(buft); +} + GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, const ggml_tensor * tensor) { return ggml_nbytes(tensor); @@ -4259,6 +4273,7 @@ static ggml_backend_buffer_type_i ggml_backend_vk_buffer_type_interface = { /* .get_name = */ ggml_backend_vk_buffer_type_name, /* .alloc_buffer = */ ggml_backend_vk_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_vk_buffer_type_get_alignment, + /* .get_max_size = */ ggml_backend_vk_buffer_type_get_max_size, /* .get_alloc_size = */ ggml_backend_vk_buffer_type_get_alloc_size, /* .supports_backend = */ ggml_backend_vk_buffer_type_supports_backend, /* .is_host = */ NULL, @@ -4326,6 +4341,7 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_host_buffer_type() { /* .get_name = */ ggml_backend_vk_host_buffer_type_name, /* .alloc_buffer = */ ggml_backend_vk_host_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_vk_host_buffer_type_get_alignment, + /* .get_max_size = */ NULL, // defaults to UINT64_MAX /* .get_alloc_size = */ ggml_backend_cpu_buffer_type()->iface.get_alloc_size, /* .supports_backend = */ ggml_backend_cpu_buffer_type()->iface.supports_backend, /* .is_host = */ ggml_backend_cpu_buffer_type()->iface.is_host, From bcf2a4488c3197cc8f695a05ba6edd2804204afc Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Mon, 22 Jan 2024 21:57:17 +0100 Subject: [PATCH 129/142] Use min of maxMemoryAllocationSize and maxBufferSize for device max allocation size --- ggml-vulkan.cpp | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 722bbe37ab715..56381cb7742f6 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -975,11 +975,13 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; vk_device.physical_device = vk_instance.enumeratePhysicalDevices()[dev_num]; vk::PhysicalDeviceProperties2 props2; vk::PhysicalDeviceMaintenance3Properties props3; - props3.pNext = nullptr; + vk::PhysicalDeviceMaintenance4Properties props4; props2.pNext = &props3; + props3.pNext = &props4; + props4.pNext = nullptr; vk_device.physical_device.getProperties2(&props2); vk_device.properties = props2.properties; - vk_device.max_memory_allocation_size = props3.maxMemoryAllocationSize; + vk_device.max_memory_allocation_size = std::min(props3.maxMemoryAllocationSize, props4.maxBufferSize); std::cerr << "ggml_vulkan: Using " << vk_device.properties.deviceName << std::endl; From 6b97c718340f03ecb389a93241202b4e9a15d7c9 Mon Sep 17 00:00:00 2001 From: slaren Date: Mon, 22 Jan 2024 22:44:46 +0100 Subject: [PATCH 130/142] refactor multi buf --- ggml-alloc.c | 183 +++++++++++++++++++------------------------- ggml-backend-impl.h | 15 +--- ggml-backend.c | 46 +++++++---- ggml-cuda.cu | 6 +- ggml-metal.m | 2 +- ggml-opencl.cpp | 4 +- ggml-vulkan.cpp | 2 +- 7 files changed, 118 insertions(+), 140 deletions(-) diff --git a/ggml-alloc.c b/ggml-alloc.c index faca771934799..c833ea9d1b8ab 100644 --- a/ggml-alloc.c +++ b/ggml-alloc.c @@ -776,136 +776,113 @@ size_t ggml_allocr_alloc_graph(ggml_allocr_t alloc, struct ggml_cgraph * graph) } // utils -ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, ggml_backend_buffer_type_t buft) { - GGML_ASSERT(ggml_get_no_alloc(ctx) == true); - - size_t alignment = ggml_backend_buft_get_alignment(buft); - size_t max_size = ggml_backend_buft_get_max_size(buft); - - size_t nbytes = 0; - for (struct ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) { - if (t->data == NULL && t->view_src == NULL) { - nbytes += GGML_PAD(ggml_backend_buft_get_alloc_size(buft, t), alignment); - } - } - - if (nbytes == 0) { - // all the tensors in the context are already allocated -#ifndef NDEBUG - fprintf(stderr, "%s: all tensors in the context are already allocated\n", __func__); -#endif - return NULL; - } - // single buffer allocation - if (nbytes <= max_size) { - ggml_backend_buffer_t buffer = ggml_backend_buft_alloc_buffer(buft, nbytes); - if (buffer == NULL) { - // failed to allocate buffer +static bool alloc_tensor_range(struct ggml_context * ctx, + struct ggml_tensor * first, struct ggml_tensor * last, + ggml_backend_buffer_type_t buft, size_t size, + ggml_backend_buffer_t ** buffers, size_t * n_buffers) { + ggml_backend_buffer_t buffer = ggml_backend_buft_alloc_buffer(buft, size); + if (buffer == NULL) { #ifndef NDEBUG - fprintf(stderr, "%s: failed to allocate buffer\n", __func__); + fprintf(stderr, "%s: failed to allocate %s buffer of size %zu\n", __func__, ggml_backend_buft_name(buft), size); #endif - return NULL; + for (size_t i = 0; i < *n_buffers; i++) { + ggml_backend_buffer_free(*buffers[i]); } + free(buffers); + return false; + } - ggml_tallocr_t tallocr = ggml_tallocr_new_from_buffer(buffer); + ggml_tallocr_t tallocr = ggml_tallocr_new_from_buffer(buffer); - for (struct ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) { - if (t->data == NULL) { - if (t->view_src == NULL) { - ggml_tallocr_alloc(tallocr, t); - } else { - ggml_backend_view_init(buffer, t); - } + for (struct ggml_tensor * t = first; t != last; t = ggml_get_next_tensor(ctx, t)) { + if (t->data == NULL) { + if (t->view_src == NULL) { + ggml_tallocr_alloc(tallocr, t); } else { - if (t->view_src != NULL) { - // view of a pre-allocated tensor - ggml_backend_view_init(buffer, t); - } + ggml_backend_view_init(buffer, t); } - } - - ggml_tallocr_free(tallocr); - - return buffer; - } - - // multi-buffer - size_t n_allocs = (nbytes - 1 + max_size) / max_size; - size_t * nbytes_per_alloc = (size_t *) malloc(n_allocs * sizeof(size_t)); - memset(nbytes_per_alloc, 0, n_allocs * sizeof(size_t)); - - // Calculate nbytes per alloc - size_t alloc_idx = 0; - for (struct ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) { - if (t->data == NULL && t->view_src == NULL) { - size_t tensor_size = GGML_PAD(ggml_backend_buft_get_alloc_size(buft, t), alignment); - if (nbytes_per_alloc[alloc_idx] + tensor_size > max_size) { - // Move to next allocation - alloc_idx += 1; + } else { + if (t->view_src != NULL) { + // view of a pre-allocated tensor + ggml_backend_view_init(buffer, t); } - nbytes_per_alloc[alloc_idx] += tensor_size; } } - ggml_backend_buffer_t multi_buffer = ggml_backend_multi_buffer_alloc_buffer(n_allocs, buft, nbytes); - ggml_backend_multi_buffer_context_t multi_ctx = (ggml_backend_multi_buffer_context_t) multi_buffer->context; + ggml_tallocr_free(tallocr); - size_t bytes_counter = 0; - struct ggml_tensor * current_tensor = ggml_get_first_tensor(ctx); + *buffers = realloc(*buffers, sizeof(ggml_backend_buffer_t) * (*n_buffers + 1)); + (*buffers)[(*n_buffers)++] = buffer; - for (alloc_idx = 0; alloc_idx < n_allocs; alloc_idx++) { - ggml_backend_buffer_t buffer = ggml_backend_buft_alloc_buffer(buft, nbytes_per_alloc[alloc_idx]); - if (buffer == NULL) { - // failed to allocate buffer -#ifndef NDEBUG - fprintf(stderr, "%s: failed to allocate buffer\n", __func__); -#endif - - // free previously allocated buffers - for (size_t dealloc_idx = 0; dealloc_idx < alloc_idx; dealloc_idx++) { - ggml_backend_buffer_free(multi_ctx->buffers[dealloc_idx]); - } - - free(nbytes_per_alloc); + return true; +} - return NULL; - } +ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors_from_buft(struct ggml_context * ctx, ggml_backend_buffer_type_t buft) { + GGML_ASSERT(ggml_get_no_alloc(ctx) == true); - multi_ctx->buffers[alloc_idx] = buffer; + size_t alignment = ggml_backend_buft_get_alignment(buft); + size_t max_size = ggml_backend_buft_get_max_size(buft); - ggml_tallocr_t tallocr = ggml_tallocr_new_from_buffer(buffer); + ggml_backend_buffer_t * buffers = NULL; + size_t n_buffers = 0; - for (; current_tensor != NULL; current_tensor = ggml_get_next_tensor(ctx, current_tensor)) { - size_t tensor_size = GGML_PAD(ggml_backend_buft_get_alloc_size(buft, current_tensor), alignment); + size_t cur_buf_size = 0; + struct ggml_tensor * first = ggml_get_first_tensor(ctx); + for (struct ggml_tensor * t = first; t != NULL; t = ggml_get_next_tensor(ctx, t)) { + size_t this_size = 0; + if (t->data == NULL && t->view_src == NULL) { + this_size = GGML_PAD(ggml_backend_buft_get_alloc_size(buft, t), alignment); + } - if (bytes_counter + tensor_size > max_size) { - // tensor uses next buffer - bytes_counter = 0; - break; + if (this_size > max_size) { + // tensor is too large to fit in a single buffer + fprintf(stderr, "%s: tensor %s is too large to fit in a %s buffer (tensor size: %zu, max buffer size: %zu)\n", + __func__, t->name, + ggml_backend_buft_name(buft), + this_size, max_size); + for (size_t i = 0; i < n_buffers; i++) { + ggml_backend_buffer_free(buffers[i]); } + free(buffers); + return NULL; + } - bytes_counter += tensor_size; - if (current_tensor->data == NULL) { - if (current_tensor->view_src == NULL) { - ggml_tallocr_alloc(tallocr, current_tensor); - } else { - ggml_backend_view_init(buffer, current_tensor); - } - } else { - if (current_tensor->view_src != NULL) { - // view of a pre-allocated tensor - ggml_backend_view_init(buffer, current_tensor); - } + if ((cur_buf_size + this_size) > max_size) { + // allocate tensors in the current buffer + if (!alloc_tensor_range(ctx, first, t, buft, cur_buf_size, &buffers, &n_buffers)) { + return NULL; } + first = t; + cur_buf_size = this_size; + } else { + cur_buf_size += this_size; } + } - ggml_tallocr_free(tallocr); + // allocate remaining tensors + if (cur_buf_size > 0) { + if (!alloc_tensor_range(ctx, first, NULL, buft, cur_buf_size, &buffers, &n_buffers)) { + return NULL; + } } - free(nbytes_per_alloc); + if (n_buffers == 0) { + // all the tensors in the context are already allocated +#ifndef NDEBUG + fprintf(stderr, "%s: all tensors in the context are already allocated\n", __func__); +#endif + return NULL; + } - return multi_buffer; + ggml_backend_buffer_t buffer; + if (n_buffers == 1) { + buffer = buffers[0]; + } else { + buffer = ggml_backend_multi_buffer_alloc_buffer(buffers, n_buffers); + } + free(buffers); + return buffer; } ggml_backend_buffer_t ggml_backend_alloc_ctx_tensors(struct ggml_context * ctx, ggml_backend_t backend) { diff --git a/ggml-backend-impl.h b/ggml-backend-impl.h index f7919fe2776a9..b53b8877b9aee 100644 --- a/ggml-backend-impl.h +++ b/ggml-backend-impl.h @@ -64,19 +64,8 @@ extern "C" { // do not use directly, use ggml_backend_tensor_copy instead bool ggml_backend_buffer_copy_tensor(const struct ggml_tensor * src, struct ggml_tensor * dst); - // multi-buffer - struct ggml_backend_multi_buffer_context { - ggml_backend_buffer_t * buffers; - size_t n_buffers; - }; - - typedef struct ggml_backend_multi_buffer_context * ggml_backend_multi_buffer_context_t; - - GGML_CALL const char* ggml_backend_multi_buffer_get_name(ggml_backend_buffer_t buffer); - GGML_CALL ggml_backend_buffer_t ggml_backend_multi_buffer_alloc_buffer(size_t n_buffers, ggml_backend_buffer_type_t buft, size_t nbytes); - GGML_CALL void ggml_backend_multi_buffer_free_buffer(ggml_backend_buffer_t buffer); - GGML_CALL void ggml_backend_multi_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value); - struct ggml_backend_buffer_i ggml_backend_multi_buffer_context_interface(void); + // create a buffer that contains a collection of buffers + GGML_CALL ggml_backend_buffer_t ggml_backend_multi_buffer_alloc_buffer(ggml_backend_buffer_t * buffers, size_t n_buffers); // // Backend diff --git a/ggml-backend.c b/ggml-backend.c index af989dec85ddc..76b7e053931bf 100644 --- a/ggml-backend.c +++ b/ggml-backend.c @@ -28,11 +28,11 @@ size_t ggml_backend_buft_get_alignment(ggml_backend_buffer_type_t buft) { } size_t ggml_backend_buft_get_max_size(ggml_backend_buffer_type_t buft) { - // get_max_size is optional, defaults to UINT64_MAX + // get_max_size is optional, defaults to SIZE_MAX if (buft->iface.get_max_size) { return buft->iface.get_max_size(buft); } - return UINT64_MAX; + return SIZE_MAX; } GGML_CALL size_t ggml_backend_buft_get_alloc_size(ggml_backend_buffer_type_t buft, struct ggml_tensor * tensor) { @@ -564,7 +564,7 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_cpu_buffer_type(void) { /* .get_name = */ ggml_backend_cpu_buffer_type_get_name, /* .alloc_buffer = */ ggml_backend_cpu_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_cpu_buffer_type_get_alignment, - /* .get_max_size = */ NULL, // defaults to UINT64_MAX + /* .get_max_size = */ NULL, // defaults to SIZE_MAX /* .get_alloc_size = */ NULL, // defaults to ggml_nbytes /* .supports_backend = */ ggml_backend_cpu_buffer_type_supports_backend, /* .is_host = */ ggml_backend_cpu_buffer_type_is_host, @@ -620,7 +620,7 @@ ggml_backend_buffer_type_t ggml_backend_cpu_hbm_buffer_type(void) { /* .get_name = */ ggml_backend_cpu_hbm_buffer_type_get_name, /* .alloc_buffer = */ ggml_backend_cpu_hbm_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_cpu_buffer_type_get_alignment, - /* .get_max_size = */ NULL, // defaults to UINT64_MAX + /* .get_max_size = */ NULL, // defaults to SIZE_MAX /* .get_alloc_size = */ NULL, // defaults to ggml_nbytes /* .supports_backend = */ ggml_backend_cpu_buffer_type_supports_backend, /* .is_host = */ ggml_backend_cpu_buffer_type_is_host, @@ -775,24 +775,22 @@ GGML_CALL static ggml_backend_t ggml_backend_reg_cpu_init(const char * params, v GGML_UNUSED(user_data); } - // multi-buffer buffer -GGML_CALL const char * ggml_backend_multi_buffer_get_name(ggml_backend_buffer_t buffer) { - ggml_backend_multi_buffer_context_t ctx = (ggml_backend_multi_buffer_context_t) buffer->context; +struct ggml_backend_multi_buffer_context { + ggml_backend_buffer_t * buffers; + size_t n_buffers; +}; - return ctx->buffers[0]->iface.get_name(ctx->buffers[0]); -} +typedef struct ggml_backend_multi_buffer_context * ggml_backend_multi_buffer_context_t; -GGML_CALL ggml_backend_buffer_t ggml_backend_multi_buffer_alloc_buffer(size_t n_buffers, ggml_backend_buffer_type_t buft, size_t nbytes) { - ggml_backend_multi_buffer_context_t ctx = (ggml_backend_multi_buffer_context_t) malloc(sizeof(struct ggml_backend_multi_buffer_context)); - ctx->n_buffers = n_buffers; - ctx->buffers = (ggml_backend_buffer_t *) malloc(n_buffers * sizeof(ggml_backend_buffer_t)); +GGML_CALL static const char * ggml_backend_multi_buffer_get_name(ggml_backend_buffer_t buffer) { + ggml_backend_multi_buffer_context_t ctx = (ggml_backend_multi_buffer_context_t) buffer->context; - return ggml_backend_buffer_init(buft, ggml_backend_multi_buffer_context_interface(), ctx, nbytes); + return ctx->buffers[0]->iface.get_name(ctx->buffers[0]); } -GGML_CALL void ggml_backend_multi_buffer_free_buffer(ggml_backend_buffer_t buffer) { +GGML_CALL static void ggml_backend_multi_buffer_free_buffer(ggml_backend_buffer_t buffer) { ggml_backend_multi_buffer_context_t ctx = (ggml_backend_multi_buffer_context_t) buffer->context; for (size_t i = 0; i < ctx->n_buffers; i++) { ggml_backend_buffer_free(ctx->buffers[i]); @@ -802,14 +800,14 @@ GGML_CALL void ggml_backend_multi_buffer_free_buffer(ggml_backend_buffer_t buffe free(ctx); } -GGML_CALL void ggml_backend_multi_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { +GGML_CALL static void ggml_backend_multi_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { ggml_backend_multi_buffer_context_t ctx = (ggml_backend_multi_buffer_context_t) buffer->context; for (size_t i = 0; i < ctx->n_buffers; i++) { ggml_backend_buffer_clear(ctx->buffers[i], value); } } -struct ggml_backend_buffer_i ggml_backend_multi_buffer_context_interface(void) { +static struct ggml_backend_buffer_i ggml_backend_multi_buffer_context_interface(void) { static struct ggml_backend_buffer_i multi_backend_buffer_i = { /* .get_name = */ ggml_backend_multi_buffer_get_name, /* .free_buffer = */ ggml_backend_multi_buffer_free_buffer, @@ -825,6 +823,20 @@ struct ggml_backend_buffer_i ggml_backend_multi_buffer_context_interface(void) { return multi_backend_buffer_i; } +GGML_CALL ggml_backend_buffer_t ggml_backend_multi_buffer_alloc_buffer(ggml_backend_buffer_t * buffers, size_t n_buffers) { + ggml_backend_multi_buffer_context_t ctx = (ggml_backend_multi_buffer_context_t) malloc(sizeof(struct ggml_backend_multi_buffer_context)); + ctx->n_buffers = n_buffers; + ctx->buffers = (ggml_backend_buffer_t *) malloc(n_buffers * sizeof(ggml_backend_buffer_t)); + + size_t total_size = 0; + for (size_t i = 0; i < n_buffers; i++) { + ctx->buffers[i] = buffers[i]; + total_size += ggml_backend_buffer_get_size(buffers[i]); + } + + return ggml_backend_buffer_init(buffers[0]->buft, ggml_backend_multi_buffer_context_interface(), ctx, total_size); +} + // scheduler diff --git a/ggml-cuda.cu b/ggml-cuda.cu index b25c4a8fb071c..7be588d597eb0 100644 --- a/ggml-cuda.cu +++ b/ggml-cuda.cu @@ -10428,7 +10428,7 @@ static ggml_backend_buffer_type_i ggml_backend_cuda_buffer_type_interface = { /* .get_name = */ ggml_backend_cuda_buffer_type_name, /* .alloc_buffer = */ ggml_backend_cuda_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_cuda_buffer_type_get_alignment, - /* .get_max_size = */ NULL, // defaults to UINT64_MAX + /* .get_max_size = */ NULL, // defaults to SIZE_MAX /* .get_alloc_size = */ ggml_backend_cuda_buffer_type_get_alloc_size, /* .supports_backend = */ ggml_backend_cuda_buffer_type_supports_backend, /* .is_host = */ NULL, @@ -10704,7 +10704,7 @@ static ggml_backend_buffer_type_i ggml_backend_cuda_split_buffer_type_interface /* .get_name = */ ggml_backend_cuda_split_buffer_type_name, /* .alloc_buffer = */ ggml_backend_cuda_split_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_cuda_split_buffer_type_get_alignment, - /* .get_max_size = */ NULL, // defaults to UINT64_MAX + /* .get_max_size = */ NULL, // defaults to SIZE_MAX /* .get_alloc_size = */ ggml_backend_cuda_split_buffer_type_get_alloc_size, /* .supports_backend = */ ggml_backend_cuda_split_buffer_type_supports_backend, /* .is_host = */ ggml_backend_cuda_split_buffer_type_is_host, @@ -10784,7 +10784,7 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_host_buffer_type() { /* .get_name = */ ggml_backend_cuda_host_buffer_type_name, /* .alloc_buffer = */ ggml_backend_cuda_host_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_cpu_buffer_type()->iface.get_alignment, - /* .get_max_size = */ NULL, // defaults to UINT64_MAX + /* .get_max_size = */ NULL, // defaults to SIZE_MAX /* .get_alloc_size = */ ggml_backend_cpu_buffer_type()->iface.get_alloc_size, /* .supports_backend = */ ggml_backend_cpu_buffer_type()->iface.supports_backend, /* .is_host = */ ggml_backend_cpu_buffer_type()->iface.is_host, diff --git a/ggml-metal.m b/ggml-metal.m index 35a077299de94..587907bdf56b7 100644 --- a/ggml-metal.m +++ b/ggml-metal.m @@ -2445,7 +2445,7 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_metal_buffer_type(void) { /* .get_name = */ ggml_backend_metal_buffer_type_get_name, /* .alloc_buffer = */ ggml_backend_metal_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_metal_buffer_type_get_alignment, - /* .get_max_size = */ NULL, // defaults to UINT64_MAX + /* .get_max_size = */ NULL, // TODO: return device.maxBufferLength /* .get_alloc_size = */ NULL, // defaults to ggml_nbytes /* .supports_backend = */ ggml_backend_metal_buffer_type_supports_backend, /* .is_host = */ ggml_backend_metal_buffer_type_is_host, diff --git a/ggml-opencl.cpp b/ggml-opencl.cpp index db56337ffe81b..1cfd6dc81694b 100644 --- a/ggml-opencl.cpp +++ b/ggml-opencl.cpp @@ -2055,7 +2055,7 @@ static ggml_backend_buffer_type_i ggml_backend_opencl_buffer_type_interface = { /* .get_name = */ ggml_backend_opencl_buffer_type_name, /* .alloc_buffer = */ ggml_backend_opencl_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_opencl_buffer_type_get_alignment, - /* .get_max_size = */ NULL, // defaults to UINT64_MAX + /* .get_max_size = */ NULL, // TODO: return from device info /* .get_alloc_size = */ NULL, /* .supports_backend = */ ggml_backend_opencl_buffer_type_supports_backend, /* .is_host = */ NULL, @@ -2112,7 +2112,7 @@ ggml_backend_buffer_type_t ggml_backend_opencl_host_buffer_type() { /* .get_name = */ ggml_backend_opencl_host_buffer_type_name, /* .alloc_buffer = */ ggml_backend_opencl_host_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_cpu_buffer_type()->iface.get_alignment, - /* .get_max_size = */ NULL, // defaults to UINT64_MAX + /* .get_max_size = */ NULL, // defaults to SIZE_MAX /* .get_alloc_size = */ ggml_backend_cpu_buffer_type()->iface.get_alloc_size, /* .supports_backend = */ ggml_backend_cpu_buffer_type()->iface.supports_backend, /* .is_host = */ ggml_backend_cpu_buffer_type()->iface.is_host, diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 56381cb7742f6..408e3c3ba086c 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -4343,7 +4343,7 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_host_buffer_type() { /* .get_name = */ ggml_backend_vk_host_buffer_type_name, /* .alloc_buffer = */ ggml_backend_vk_host_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_vk_host_buffer_type_get_alignment, - /* .get_max_size = */ NULL, // defaults to UINT64_MAX + /* .get_max_size = */ NULL, // defaults to SIZE_MAX /* .get_alloc_size = */ ggml_backend_cpu_buffer_type()->iface.get_alloc_size, /* .supports_backend = */ ggml_backend_cpu_buffer_type()->iface.supports_backend, /* .is_host = */ ggml_backend_cpu_buffer_type()->iface.is_host, From f2c364a57460934e79397ca78e45d301b4824cef Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Mon, 22 Jan 2024 23:52:13 +0100 Subject: [PATCH 131/142] Disable unsupported ops to fix tests --- ggml-vulkan.cpp | 56 ++++++++++++++++++++++++++++++------------------- 1 file changed, 34 insertions(+), 22 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 408e3c3ba086c..b5697d9c0ce24 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -3771,7 +3771,7 @@ void ggml_vk_build_graph(ggml_tensor * node, bool last_node){ } break; case GGML_OP_REPEAT: - case GGML_OP_GET_ROWS: + // case GGML_OP_GET_ROWS: case GGML_OP_ADD: case GGML_OP_MUL: case GGML_OP_SCALE: @@ -3790,6 +3790,7 @@ void ggml_vk_build_graph(ggml_tensor * node, bool last_node){ case GGML_OP_SOFT_MAX: case GGML_OP_ROPE: case GGML_OP_MUL_MAT: + case GGML_OP_NONE: break; default: if (any_on_device) { @@ -3843,6 +3844,7 @@ void ggml_vk_build_graph(ggml_tensor * node, bool last_node){ case GGML_OP_VIEW: case GGML_OP_PERMUTE: case GGML_OP_TRANSPOSE: + case GGML_OP_NONE: ggml_vk_nop(*vk_ctx, src0, node); break; @@ -3931,6 +3933,7 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) case GGML_OP_VIEW: case GGML_OP_PERMUTE: case GGML_OP_TRANSPOSE: + case GGML_OP_NONE: extra = (ggml_tensor_extra_gpu *) tensor->extra; break; @@ -4445,21 +4448,21 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const } return true; } break; - case GGML_OP_GET_ROWS: - { - switch (op->src[0]->type) { - case GGML_TYPE_F16: - case GGML_TYPE_F32: - case GGML_TYPE_Q4_0: - case GGML_TYPE_Q4_1: - case GGML_TYPE_Q5_0: - case GGML_TYPE_Q5_1: - case GGML_TYPE_Q8_0: - return true; - default: - return false; - } - } break; + // case GGML_OP_GET_ROWS: + // { + // switch (op->src[0]->type) { + // case GGML_TYPE_F16: + // case GGML_TYPE_F32: + // case GGML_TYPE_Q4_0: + // case GGML_TYPE_Q4_1: + // case GGML_TYPE_Q5_0: + // case GGML_TYPE_Q5_1: + // case GGML_TYPE_Q8_0: + // return true; + // default: + // return false; + // } + // } break; case GGML_OP_CPY: { ggml_type src0_type = op->src[0]->type; @@ -4475,11 +4478,22 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const } return false; } break; - case GGML_OP_DUP: - case GGML_OP_REPEAT: + // case GGML_OP_DUP: + // case GGML_OP_REPEAT: + // { + // ggml_type src0_type = op->src[0]->type; + // return src0_type != GGML_TYPE_I32 && src0_type != GGML_TYPE_I16; + // } break; + case GGML_OP_ROPE: { - ggml_type src0_type = op->src[0]->type; - return src0_type != GGML_TYPE_I32 && src0_type != GGML_TYPE_I16; + const int mode = ((const int32_t *) op->op_params)[2]; + const bool is_neox = mode & 2; + const bool is_glm = mode & 4; + + if (!is_neox && !is_glm) { + return true; + } + return false; } break; case GGML_OP_NONE: case GGML_OP_RESHAPE: @@ -4496,8 +4510,6 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const case GGML_OP_CONT: case GGML_OP_DIAG_MASK_INF: case GGML_OP_SOFT_MAX: - case GGML_OP_ROPE: - case GGML_OP_ALIBI: return true; default: return false; From 1c953c10a00dd2767a73cc71202271ef7c106b00 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 23 Jan 2024 08:00:39 +0100 Subject: [PATCH 132/142] Check for maintenance4 support before using it --- ggml-vulkan.cpp | 25 ++++++++++++++++++++----- 1 file changed, 20 insertions(+), 5 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index b5697d9c0ce24..36705d6d56ac4 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -973,22 +973,37 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; vk_instance = vk::createInstance(instance_create_info); vk_device.physical_device = vk_instance.enumeratePhysicalDevices()[dev_num]; + std::vector ext_props = vk_device.physical_device.enumerateDeviceExtensionProperties(); + + bool maintenance4_support = false; + + // Check if maintenance4 is supported + for (auto properties : ext_props) { + if (strcmp("VK_KHR_maintenance4", properties.extensionName) == 0) { + maintenance4_support = true; + } + } + vk::PhysicalDeviceProperties2 props2; vk::PhysicalDeviceMaintenance3Properties props3; vk::PhysicalDeviceMaintenance4Properties props4; props2.pNext = &props3; - props3.pNext = &props4; - props4.pNext = nullptr; + if (maintenance4_support) { + props3.pNext = &props4; + } vk_device.physical_device.getProperties2(&props2); vk_device.properties = props2.properties; - vk_device.max_memory_allocation_size = std::min(props3.maxMemoryAllocationSize, props4.maxBufferSize); + + if (maintenance4_support) { + vk_device.max_memory_allocation_size = std::min(props3.maxMemoryAllocationSize, props4.maxBufferSize); + } else { + vk_device.max_memory_allocation_size = props3.maxMemoryAllocationSize; + } std::cerr << "ggml_vulkan: Using " << vk_device.properties.deviceName << std::endl; vk_device.vendor_id = vk_device.properties.vendorID; - std::vector ext_props = vk_device.physical_device.enumerateDeviceExtensionProperties(); - bool fp16_storage = false; bool fp16_compute = false; From 566a178c8f421b6e3133f1c6f472fad7f14e7320 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 23 Jan 2024 17:34:45 +0100 Subject: [PATCH 133/142] Handle devices with only a single queue --- ggml-vulkan.cpp | 25 ++++++++++++++++--------- 1 file changed, 16 insertions(+), 9 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 36705d6d56ac4..b6ff7ec199450 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -128,6 +128,7 @@ struct vk_device { vk_queue compute_queue; vk_queue transfer_queue; uint32_t descriptor_set_mode; + bool is_igpu; }; struct vk_op_push_constants { @@ -1003,6 +1004,7 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; std::cerr << "ggml_vulkan: Using " << vk_device.properties.deviceName << std::endl; vk_device.vendor_id = vk_device.properties.vendorID; + vk_device.is_igpu = vk_device.properties.deviceType == vk::PhysicalDeviceType::eIntegratedGpu; bool fp16_storage = false; bool fp16_compute = false; @@ -1026,15 +1028,17 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; const uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1, 1); const uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics, compute_queue_family_index, 1); - const float compute_queue_priority = 1.0f; - const float transfer_queue_priority = 1.0f; + const float priorities[] = { 1.0f, 1.0f }; + const bool single_queue = compute_queue_family_index != transfer_queue_family_index && queue_family_props[compute_queue_family_index].queueCount == 1; + std::vector device_queue_create_infos; if (compute_queue_family_index != transfer_queue_family_index) { - device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, &compute_queue_priority}); - device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, 1, &transfer_queue_priority}); - } else { - const float priorities[] = { compute_queue_priority, transfer_queue_priority }; + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, priorities}); + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, 1, priorities + 1}); + } else if(!single_queue) { device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 2, priorities}); + } else { + device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, priorities}); } vk::DeviceCreateInfo device_create_info; std::vector device_extensions; @@ -1091,10 +1095,13 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; ggml_vk_load_shaders(); // Queues - const uint32_t transfer_queue_index = compute_queue_family_index == transfer_queue_family_index ? 1 : 0; - vk_device.compute_queue = ggml_vk_create_queue(compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader | vk::PipelineStageFlagBits::eTransfer }); - vk_device.transfer_queue = ggml_vk_create_queue(transfer_queue_family_index, transfer_queue_index, { vk::PipelineStageFlagBits::eTransfer }); + if (!single_queue) { + const uint32_t transfer_queue_index = compute_queue_family_index == transfer_queue_family_index ? 1 : 0; + vk_device.transfer_queue = ggml_vk_create_queue(transfer_queue_family_index, transfer_queue_index, { vk::PipelineStageFlagBits::eTransfer }); + } else { + vk_device.transfer_queue = vk_device.compute_queue; + } vk_fence = vk_device.device.createFence({}); From 3742b6c7068d3a6802c0b6f0f1a6656c4dfc7e19 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Tue, 23 Jan 2024 17:45:50 +0100 Subject: [PATCH 134/142] Fix single queue logic --- ggml-vulkan.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index b6ff7ec199450..93dacfad9afec 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1029,7 +1029,7 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; const uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics, compute_queue_family_index, 1); const float priorities[] = { 1.0f, 1.0f }; - const bool single_queue = compute_queue_family_index != transfer_queue_family_index && queue_family_props[compute_queue_family_index].queueCount == 1; + const bool single_queue = compute_queue_family_index == transfer_queue_family_index && queue_family_props[compute_queue_family_index].queueCount == 1; std::vector device_queue_create_infos; if (compute_queue_family_index != transfer_queue_family_index) { From bc5e64b1bf6947f800e77318a61a8f729c21d5ec Mon Sep 17 00:00:00 2001 From: slaren Date: Tue, 23 Jan 2024 14:47:52 +0100 Subject: [PATCH 135/142] propagate buffer usage in multi buffers --- ggml-backend-impl.h | 4 +++- ggml-backend.c | 17 +++++++++++++++++ 2 files changed, 20 insertions(+), 1 deletion(-) diff --git a/ggml-backend-impl.h b/ggml-backend-impl.h index b53b8877b9aee..f95df47f72b86 100644 --- a/ggml-backend-impl.h +++ b/ggml-backend-impl.h @@ -64,8 +64,10 @@ extern "C" { // do not use directly, use ggml_backend_tensor_copy instead bool ggml_backend_buffer_copy_tensor(const struct ggml_tensor * src, struct ggml_tensor * dst); - // create a buffer that contains a collection of buffers + // buffer that contains a collection of buffers GGML_CALL ggml_backend_buffer_t ggml_backend_multi_buffer_alloc_buffer(ggml_backend_buffer_t * buffers, size_t n_buffers); + GGML_CALL bool ggml_backend_buffer_is_multi_buffer(ggml_backend_buffer_t buffer); + GGML_CALL void ggml_backend_multi_buffer_set_usage(ggml_backend_buffer_t buffer, enum ggml_backend_buffer_usage usage); // // Backend diff --git a/ggml-backend.c b/ggml-backend.c index 76b7e053931bf..8958f4ffe1c98 100644 --- a/ggml-backend.c +++ b/ggml-backend.c @@ -130,6 +130,11 @@ bool ggml_backend_buffer_is_host(ggml_backend_buffer_t buffer) { void ggml_backend_buffer_set_usage(ggml_backend_buffer_t buffer, enum ggml_backend_buffer_usage usage) { buffer->usage = usage; + + // FIXME: add a generic callback to the buffer interface + if (ggml_backend_buffer_is_multi_buffer(buffer)) { + ggml_backend_multi_buffer_set_usage(buffer, usage); + } } ggml_backend_buffer_type_t ggml_backend_buffer_get_type(ggml_backend_buffer_t buffer) { @@ -837,6 +842,18 @@ GGML_CALL ggml_backend_buffer_t ggml_backend_multi_buffer_alloc_buffer(ggml_back return ggml_backend_buffer_init(buffers[0]->buft, ggml_backend_multi_buffer_context_interface(), ctx, total_size); } +GGML_CALL bool ggml_backend_buffer_is_multi_buffer(ggml_backend_buffer_t buffer) { + return buffer->iface.get_name == ggml_backend_multi_buffer_get_name; +} + +GGML_CALL void ggml_backend_multi_buffer_set_usage(ggml_backend_buffer_t buffer, enum ggml_backend_buffer_usage usage) { + GGML_ASSERT(ggml_backend_buffer_is_multi_buffer(buffer)); + ggml_backend_multi_buffer_context_t ctx = (ggml_backend_multi_buffer_context_t) buffer->context; + for (size_t i = 0; i < ctx->n_buffers; i++) { + ggml_backend_buffer_set_usage(ctx->buffers[i], usage); + } +} + // scheduler From 3a15a013307345fc73ab58e7e80f20036993c358 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Wed, 24 Jan 2024 19:27:49 +0100 Subject: [PATCH 136/142] Implement rope_neox op --- ggml-vulkan-shaders.hpp | 649 ++++++++++++++++++++++++++++++++++++ ggml-vulkan.cpp | 65 +++- ggml_vk_generate_shaders.py | 87 +++++ 3 files changed, 787 insertions(+), 14 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index 48b6c5f69dcfd..66b571a08f347 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -60024,6 +60024,655 @@ unsigned char rope_f32_data[] = { }; const uint64_t rope_f32_len = 3072; +unsigned char rope_neox_f16_data[] = { +0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, +0x5f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00, +0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c, +0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00, +0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x0f,0x00,0x0a,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 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vk_op_rope_push_constants { float corr_dims[4]; }; +struct vk_op_rope_neox_push_constants { + uint32_t ncols; + uint32_t ndims; + float freq_scale; + uint32_t p_delta_rows; + float freq_base; + float ext_factor; + float attn_factor; + float corr_dims[4]; + float theta_scale; + float inv_ndims; +}; + // Allow pre-recording command buffers struct vk_staging_memcpy { vk_staging_memcpy(void * _dst, const void * _src, size_t _n) : dst(_dst), src(_src), n(_n) {} @@ -244,6 +257,7 @@ vk_pipeline vk_pipeline_relu_f32; vk_pipeline vk_pipeline_diag_mask_inf_f32; vk_pipeline vk_pipeline_soft_max_f32; vk_pipeline vk_pipeline_rope_f32, vk_pipeline_rope_f16; +vk_pipeline vk_pipeline_rope_neox_f32, vk_pipeline_rope_neox_f16; static size_t vk_semaphore_idx, vk_event_idx; static ggml_vk_garbage_collector vk_gc; @@ -931,6 +945,9 @@ static void ggml_vk_load_shaders() { vk_pipeline_rope_f32 = ggml_vk_create_pipeline("rope_f32", rope_f32_len, rope_f32_data, "main", 3, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); vk_pipeline_rope_f16 = ggml_vk_create_pipeline("rope_f16", rope_f16_len, rope_f16_data, "main", 3, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1); + + vk_pipeline_rope_neox_f32 = ggml_vk_create_pipeline("rope_neox_f32", rope_neox_f32_len, rope_neox_f32_data, "main", 3, sizeof(vk_op_rope_neox_push_constants), {1, 512, 1}, {}, 1); + vk_pipeline_rope_neox_f16 = ggml_vk_create_pipeline("rope_neox_f16", rope_neox_f16_len, rope_neox_f16_data, "main", 3, sizeof(vk_op_rope_neox_push_constants), {1, 512, 1}, {}, 1); } void ggml_vk_init() { @@ -2663,13 +2680,32 @@ static vk_pipeline* ggml_vk_op_get_pipeline(const ggml_tensor * src0, const ggml } return nullptr; case GGML_OP_ROPE: - if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { - return &vk_pipeline_rope_f32; - } - if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) { - return &vk_pipeline_rope_f16; + { + const int mode = ((const int32_t *) dst->op_params)[2]; + const bool is_neox = mode & 2; + const bool is_glm = mode & 4; + + if (is_glm) { + return nullptr; + } + + if (is_neox) { + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_rope_neox_f32; + } + if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) { + return &vk_pipeline_rope_neox_f16; + } + } else { + if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) { + return &vk_pipeline_rope_f32; + } + if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) { + return &vk_pipeline_rope_f16; + } + } + return nullptr; } - return nullptr; default: return nullptr; } @@ -2966,13 +3002,18 @@ static void ggml_vk_rope(vk_context& ctx, const ggml_tensor * src0, const ggml_t const bool is_neox = mode & 2; const bool is_glm = mode & 4; - // TODO: Implement - GGML_ASSERT(!is_neox && !is_glm); // NOLINT + GGML_ASSERT(!is_glm); float corr_dims[2]; ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims); - ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_ROPE, { (uint32_t)src0->ne[0], freq_scale, (uint32_t)src0->ne[1], freq_base, ext_factor, attn_factor, corr_dims[0], corr_dims[1], 0.0f, 0.0f }); + if (is_neox) { + const float theta_scale = powf(freq_base, -2.0f/n_dims); + const float inv_ndims = -1.0f / n_dims; + ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_ROPE, { (uint32_t)src0->ne[0], (uint32_t)n_dims, freq_scale, (uint32_t)src0->ne[1], freq_base, ext_factor, attn_factor, corr_dims[0], corr_dims[1], 0.0f, 0.0f, theta_scale, inv_ndims }); + } else { + ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_ROPE, { (uint32_t)src0->ne[0], freq_scale, (uint32_t)src0->ne[1], freq_base, ext_factor, attn_factor, corr_dims[0], corr_dims[1], 0.0f, 0.0f }); + } } static void ggml_vk_nop(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { @@ -4509,13 +4550,9 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const case GGML_OP_ROPE: { const int mode = ((const int32_t *) op->op_params)[2]; - const bool is_neox = mode & 2; const bool is_glm = mode & 4; - if (!is_neox && !is_glm) { - return true; - } - return false; + return !is_glm; } break; case GGML_OP_NONE: case GGML_OP_RESHAPE: diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index 632e52398ed91..d4fdac41f5a6b 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -1981,6 +1981,90 @@ } """ +rope_neox_src = """ +#version 450 + +#extension GL_EXT_shader_16bit_storage : require + +layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in; + +layout (binding = 0) readonly buffer X {A_TYPE data_a[];}; +layout (binding = 1) readonly buffer Y {int data_b[];}; +layout (binding = 2) writeonly buffer D {D_TYPE data_d[];}; + +layout (push_constant) uniform parameter { + uint ncols; + uint ndims; + float freq_scale; + uint p_delta_rows; + float freq_base; + float ext_factor; + float attn_factor; + float corr_dims[4]; + float theta_scale; + float inv_ndims; +} p; + +float rope_yarn_ramp(const float low, const float high, const uint i0) { + const float y = (i0 / 2 - low) / max(0.001f, high - low); + return 1.0f - min(1.0f, max(0.0f, y)); +} + +void rope_yarn(const float theta_extrap, const uint i0, out float cos_theta, out float sin_theta) { + float mscale = p.attn_factor; + // Get n-d rotational scaling corrected for extrapolation + float theta_interp = p.freq_scale * theta_extrap; + float theta = theta_interp; + if (p.ext_factor != 0.0f) { + float ramp_mix = rope_yarn_ramp(p.corr_dims[0], p.corr_dims[1], i0) * p.ext_factor; + theta = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix; + + // Get n-d magnitude scaling corrected for interpolation + mscale *= 1.0f + 0.1f * log(1.0f / p.freq_scale); + } + cos_theta = cos(theta) * mscale; + sin_theta = sin(theta) * mscale; +} + +void main() { + const uint col = gl_GlobalInvocationID.y * 2; + const uint row = gl_GlobalInvocationID.x; + + if (col >= p.ncols) { + return; + } + + const uint ib = col / p.ndims; + const uint ic = col % p.ndims; + + if (ib > 0) { + const uint i = row*p.ncols + ib*p.ndims + ic; + + data_d[i + 0] = data_a[i + 0]; + data_d[i + 1] = data_a[i + 1]; + + return; + } + + const uint i = row*p.ncols + ib*p.ndims + ic/2; + const uint i2 = row/p.p_delta_rows; + + const float cur_rot = p.inv_ndims * ic - ib; + + const int pos = data_b[i2]; + const float theta_base = pos*p.freq_scale*pow(p.theta_scale, col/2.0f); + + float cos_theta, sin_theta; + rope_yarn(theta_base, uint(cur_rot), cos_theta, sin_theta); + + const float x0 = float(data_a[i + 0]); + const float x1 = float(data_a[i + p.ndims/2]); + + data_d[i + 0] = D_TYPE(x0*cos_theta - x1*sin_theta); + data_d[i + p.ndims/2] = D_TYPE(x0*sin_theta + x1*cos_theta); +} +""" + GLSLC = "glslc" VK_NUM_TYPES = 16 @@ -2241,6 +2325,9 @@ async def main(): tasks.append(string_to_spv("rope_f32", rope_src, {"A_TYPE": "float", "D_TYPE": "float"}, True)) tasks.append(string_to_spv("rope_f16", rope_src, {"A_TYPE": "float16_t", "D_TYPE": "float16_t"}, True)) + tasks.append(string_to_spv("rope_neox_f32", rope_neox_src, {"A_TYPE": "float", "D_TYPE": "float"}, True)) + tasks.append(string_to_spv("rope_neox_f16", rope_neox_src, {"A_TYPE": "float16_t", "D_TYPE": "float16_t"}, True)) + await asyncio.gather(*tasks) with open("ggml-vulkan-shaders.hpp", "w") as f: From 82ce1c4da22eea6075a7d80da59880e99fc98d36 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Thu, 25 Jan 2024 19:43:08 +0100 Subject: [PATCH 137/142] Cleanup header and other files --- CMakeLists.txt | 2 +- Makefile | 8 +++----- ggml-vulkan.cpp | 26 ++++---------------------- ggml-vulkan.h | 12 ------------ llama.cpp | 2 -- 5 files changed, 8 insertions(+), 42 deletions(-) diff --git a/CMakeLists.txt b/CMakeLists.txt index e3d58d8a0bc45..908c109a6e4cb 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -408,7 +408,7 @@ if (LLAMA_VULKAN) message(STATUS "Vulkan found") add_library(ggml-vulkan STATIC ggml-vulkan.cpp ggml-vulkan.h) - target_link_libraries(ggml-vulkan PUBLIC Vulkan::Vulkan) + target_link_libraries(ggml-vulkan PRIVATE Vulkan::Vulkan) add_compile_definitions(GGML_USE_VULKAN) diff --git a/Makefile b/Makefile index a702b566a116f..2467ec73a3803 100644 --- a/Makefile +++ b/Makefile @@ -449,14 +449,12 @@ ggml-opencl.o: ggml-opencl.cpp ggml-opencl.h endif # LLAMA_CLBLAST ifdef LLAMA_VULKAN - CFLAGS += -DGGML_USE_VULKAN - CXXFLAGS += -DGGML_USE_VULKAN - LDFLAGS += -lvulkan + MK_CPPFLAGS += -DGGML_USE_VULKAN + MK_LDFLAGS += -lvulkan OBJS += ggml-vulkan.o ifdef LLAMA_VULKAN_CHECK_RESULTS - CFLAGS += -DGGML_VULKAN_CHECK_RESULTS - CXXFLAGS += -DGGML_VULKAN_CHECK_RESULTS + MK_CPPFLAGS += -DGGML_VULKAN_CHECK_RESULTS endif ggml-vulkan.o: ggml-vulkan.cpp ggml-vulkan.h diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index ccdb1eb2a4c6b..ff57fec280c14 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1254,7 +1254,7 @@ static vk_buffer ggml_vk_create_buffer_temp(size_t size) { return buf; } -void* ggml_vk_host_malloc(size_t size) { +static void * ggml_vk_host_malloc(size_t size) { #ifdef VK_DEBUG std::cerr << "ggml_vk_host_malloc(" << size << ")" << std::endl; #endif @@ -1278,7 +1278,7 @@ void* ggml_vk_host_malloc(size_t size) { return buf.ptr; } -void ggml_vk_host_free(void* ptr) { +static void ggml_vk_host_free(void* ptr) { if (ptr == nullptr) { return; } @@ -2500,7 +2500,7 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * } } -bool ggml_vk_can_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * dst) { +static bool ggml_vk_can_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * dst) { const uint64_t ne10 = src1->ne[0]; const uint64_t ne0 = dst->ne[0]; @@ -3532,24 +3532,6 @@ static ggml_tensor_extra_gpu * ggml_vk_tensor_create_extra(ggml_tensor * tensor) return extra; } -void ggml_vk_prepare_tensor(ggml_tensor * tensor) { -#ifdef VK_DEBUG - std::cerr << "ggml_vk_prepare_tensor(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))" << std::endl; -#endif - tensor->backend = GGML_BACKEND_GPU; - - // recursively prepare buffers until a compute tensor is found - if (tensor->src[0] != nullptr && tensor->src[0]->backend == GGML_BACKEND_CPU) { - const ggml_op src0_op = tensor->src[0]->op; - if (src0_op == GGML_OP_RESHAPE || src0_op == GGML_OP_TRANSPOSE || src0_op == GGML_OP_VIEW || src0_op == GGML_OP_PERMUTE) { - ggml_vk_prepare_tensor(tensor->src[0]); - } - } - if (tensor->op == GGML_OP_CPY && tensor->src[1]->backend == GGML_BACKEND_CPU) { - ggml_vk_prepare_tensor(tensor->src[1]); - } -} - // TODO: Still needed? static void ggml_vk_tensor_stride_order(const ggml_tensor * tensor, std::array& order) { order = {-1, -1, -1, -1}; @@ -4120,7 +4102,7 @@ void ggml_vk_graph_cleanup() { vk_gc.contexts.clear(); } -void ggml_vk_cleanup() { +static void ggml_vk_cleanup() { #ifdef VK_DEBUG std::cerr << "ggml_vk_cleanup()" << std::endl; #endif diff --git a/ggml-vulkan.h b/ggml-vulkan.h index 128cf7bcad0ad..eb8a148e2c94a 100644 --- a/ggml-vulkan.h +++ b/ggml-vulkan.h @@ -16,22 +16,10 @@ GGML_API void ggml_vk_preallocate_buffers(void); GGML_API void ggml_vk_build_graph(struct ggml_tensor * node, bool last_node); GGML_API bool ggml_vk_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor); #ifdef GGML_VULKAN_CHECK_RESULTS -void ggml_vk_check_results_0(struct ggml_compute_params * params, struct ggml_tensor * tensor); void ggml_vk_check_results_1(struct ggml_compute_params * params, struct ggml_tensor * tensor); #endif GGML_API void ggml_vk_graph_cleanup(void); -GGML_API void * ggml_vk_host_malloc(size_t size); -GGML_API void ggml_vk_host_free(void * ptr); - -GGML_API void ggml_vk_transform_tensor_temporary(const void * data, struct ggml_tensor * tensor); -GGML_API void ggml_vk_transform_tensor_static(const void * data, struct ggml_tensor * tensor); -GGML_API void ggml_vk_assign_buffer(struct ggml_tensor * tensor); -GGML_API void ggml_vk_prepare_tensor(struct ggml_tensor * tensor); -GGML_API void ggml_vk_cleanup(void); - -GGML_API bool ggml_vk_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, const struct ggml_tensor * dst); - // backend API GGML_API GGML_CALL ggml_backend_t ggml_backend_vk_init(void); diff --git a/llama.cpp b/llama.cpp index 0fcc30772c1ee..0568b8eaa453c 100644 --- a/llama.cpp +++ b/llama.cpp @@ -1,8 +1,6 @@ #define LLAMA_API_INTERNAL #include "llama.h" -#include - #include "unicode.h" #include "ggml.h" From 5a8a07ec6046e8a015c5d7d45232f681e3cb2be5 Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 26 Jan 2024 17:50:29 +0100 Subject: [PATCH 138/142] Simplify gpu_extras by removing events and putting staging memcpys into contexts --- ggml-vulkan.cpp | 149 ++++++++++++++++++++---------------------------- 1 file changed, 61 insertions(+), 88 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index ff57fec280c14..4ab6aa7f66810 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -190,15 +190,13 @@ struct vk_context { std::vector seqs; ggml_tensor * exit_tensor; -}; -struct ggml_tensor_extra_gpu { - bool ready; std::vector in_memcpys; std::vector out_memcpys; +}; - vk::Event in0_staging_event; - vk::Event in1_staging_event; +struct ggml_tensor_extra_gpu { + bool ready; size_t ctx_idx; @@ -207,10 +205,6 @@ struct ggml_tensor_extra_gpu { void reset() { ready = false; - in_memcpys.clear(); - out_memcpys.clear(); - in0_staging_event = (vk::Event) VK_NULL_HANDLE; - in1_staging_event = (vk::Event) VK_NULL_HANDLE; ctx_idx = 0; buffer_gpu.size = 0; offset = 0; @@ -1392,7 +1386,7 @@ static void deferred_memcpy(void * dst, const void * src, size_t size, std::vect } } -static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_t offset, const ggml_tensor * tensor, vk_queue& q, std::vector* memcpys = nullptr, vk::Event * event = nullptr, bool sync_staging = false) { +static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_t offset, const ggml_tensor * tensor, vk_queue& q, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_nc_async(" << tensor << ")" << std::endl; #endif @@ -1485,10 +1479,6 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ VkBufferCopy buf_copy{ staging_offset, offset, copy_size }; - if (event != nullptr) { - *event = ggml_vk_create_event(); - ggml_vk_wait_events(ctx.s->buffer, { *event }, { vk::PipelineStageFlagBits::eHost }, q.stage_flags); - } ggml_vk_sync_buffers(ctx, q); vkCmdCopyBuffer(ctx.s->buffer, staging->buffer, dst->buffer, 1, &buf_copy); @@ -1496,16 +1486,16 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ for (uint64_t i2 = 0; i2 < ne2; i2++) { // Find longest contiguous slice if (ne1*nb1 == dstnb2) { - deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i3*dstnb3 + i2*dstnb2, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2, dstnb2, memcpys); + deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i3*dstnb3 + i2*dstnb2, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2, dstnb2, &ctx.in_memcpys); } else { for (uint64_t i1 = 0; i1 < ne1; i1++) { if (ne0*nb0/bs == dstnb1) { - deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2 + i1*nb1, dstnb1, memcpys); + deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2 + i1*nb1, dstnb1, &ctx.in_memcpys); } else { const uint64_t s_off = buf_offset + i3*nb3 + i2*nb2 + i1*nb1; const uint64_t d_off = staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1; for (uint64_t i0 = 0; i0 < ne0; i0++) { - deferred_memcpy((uint8_t *)staging->ptr + d_off + i0*dstnb0, (const uint8_t *) tensor->data + s_off + i0*nb0, dstnb0, memcpys); + deferred_memcpy((uint8_t *)staging->ptr + d_off + i0*dstnb0, (const uint8_t *) tensor->data + s_off + i0*nb0, dstnb0, &ctx.in_memcpys); } } } @@ -1514,7 +1504,7 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ } } -static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, std::vector* memcpys = nullptr, vk::Event * event = nullptr, bool sync_staging = false) { +static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; #endif @@ -1584,27 +1574,23 @@ static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_ offset, copy_size}; - if (event != nullptr) { - *event = ggml_vk_create_event(); - ggml_vk_wait_events(ctx.s->buffer, { *event }, { vk::PipelineStageFlagBits::eHost }, q.stage_flags); - } ggml_vk_sync_buffers(ctx, q); vkCmdCopyBuffer(ctx.s->buffer, staging->buffer, dst->buffer, 1, &buf_copy); if (width == spitch) { - deferred_memcpy((uint8_t *)staging->ptr + staging_offset, src, width * height, memcpys); + deferred_memcpy((uint8_t *)staging->ptr + staging_offset, src, width * height, &ctx.in_memcpys); } else { for (size_t i = 0; i < height; i++) { - deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i * width, (const uint8_t *) src + i * spitch, width, memcpys); + deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i * width, (const uint8_t *) src + i * spitch, width, &ctx.in_memcpys); } } } -static void ggml_vk_buffer_write_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, std::vector* memcpys = nullptr, vk::Event * event = nullptr, bool sync_staging = false) { +static void ggml_vk_buffer_write_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; #endif - return ggml_vk_buffer_write_2d_async(ctx, dst, offset, src, size, size, 1, q, memcpys, event, sync_staging); + return ggml_vk_buffer_write_2d_async(ctx, dst, offset, src, size, size, 1, q, sync_staging); } static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q) { @@ -1621,8 +1607,13 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * } else { vk_context * ctx = ggml_vk_create_context(); ggml_vk_ctx_begin(*ctx, q); - ggml_vk_buffer_write_2d_async(*ctx, dst, offset, src, spitch, width, height, q, nullptr, nullptr, true); + ggml_vk_buffer_write_2d_async(*ctx, dst, offset, src, spitch, width, height, q, true); ggml_vk_ctx_end(*ctx); + + for (auto& cpy : ctx->in_memcpys) { + memcpy(cpy.dst, cpy.src, cpy.n); + } + ggml_vk_submit(q, ctx->seqs, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_buffer_write_2d waitForFences"); vk_device.device.resetFences({ vk_fence }); @@ -1636,7 +1627,7 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1, q); } -static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, vk_queue& q, std::vector* memcpys = nullptr, bool sync_staging = false) { +static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, vk_queue& q, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_read_2d_async(offset=" << offset << ", width=" << width << ", height=" << height << ")" << std::endl; #endif @@ -1702,13 +1693,11 @@ static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t ggml_vk_sync_buffers(ctx, q); ctx.s->buffer.copyBuffer(src->buffer, staging->buffer, slices); - GGML_ASSERT(memcpys != nullptr); - - deferred_memcpy(dst, staging->ptr, copy_size, memcpys); + deferred_memcpy(dst, staging->ptr, copy_size, &ctx.out_memcpys); } -static void ggml_vk_buffer_read_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, std::vector* memcpys = nullptr, bool sync_staging = false) { - return ggml_vk_buffer_read_2d_async(ctx, src, offset, dst, size, size, size, 1, q, memcpys, sync_staging); +static void ggml_vk_buffer_read_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, bool sync_staging = false) { + return ggml_vk_buffer_read_2d_async(ctx, src, offset, dst, size, size, size, 1, q, sync_staging); } static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q) { @@ -1722,14 +1711,14 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } else { vk_context * ctx = ggml_vk_create_context(); ggml_vk_ctx_begin(*ctx, q); - std::vector staging; - ggml_vk_buffer_read_async(*ctx, src, offset, dst, size, q, &staging, true); + ggml_vk_buffer_read_async(*ctx, src, offset, dst, size, q, true); ggml_vk_ctx_end(*ctx); + ggml_vk_submit(q, ctx->seqs, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_buffer_read waitForFences"); vk_device.device.resetFences({ vk_fence }); - for (auto& cpy : staging) { + for (auto& cpy : ctx->out_memcpys) { memcpy(cpy.dst, cpy.src, cpy.n); } } @@ -1764,7 +1753,7 @@ static void ggml_vk_buffer_memset(vk_buffer* dst, size_t offset, uint32_t c, siz vk_device.device.resetFences({ vk_fence }); } -static void ggml_vk_h2d_tensor_2d(vk_context& ctx, vk_buffer * dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1, vk_queue& q, std::vector * memcpys = nullptr, vk::Event * event = nullptr) { +static void ggml_vk_h2d_tensor_2d(vk_context& ctx, vk_buffer * dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1, vk_queue& q) { #ifdef VK_DEBUG std::cerr << "ggml_vk_h2d_tensor_2d(dst=" << dst << ", offset=" << offset << ", src=" << src << ", i3=" << i3 << ", i2=" << i2 << ", i1=" << i1 << ")" << std::endl; #endif @@ -1781,17 +1770,17 @@ static void ggml_vk_h2d_tensor_2d(vk_context& ctx, vk_buffer * dst, size_t offse const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); if (nb0 == ts && nb1 == row_length) { - return ggml_vk_buffer_write_async(ctx, dst, offset, x, i1*nb1, q, memcpys, event); + return ggml_vk_buffer_write_async(ctx, dst, offset, x, i1*nb1, q); } if (nb0 == ts && (i1 == ne1 || !ggml_is_permuted(src))) { - return ggml_vk_buffer_write_2d_async(ctx, dst, offset, x, nb1, row_length, i1, q, memcpys, event); + return ggml_vk_buffer_write_2d_async(ctx, dst, offset, x, nb1, row_length, i1, q); } GGML_ASSERT(i3 == 0); GGML_ASSERT(i2 == 0); GGML_ASSERT(i1 == (uint64_t) ggml_nrows(src)); - return ggml_vk_buffer_write_nc_async(ctx, dst, offset, src, q, memcpys, event); + return ggml_vk_buffer_write_nc_async(ctx, dst, offset, src, q); } static void ggml_vk_d2h_tensor_2d(vk_context& ctx, vk_buffer * src, size_t offset, const ggml_tensor * dst, vk_queue& q) { @@ -2121,7 +2110,7 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con } else if (load_x || qx_needs_dequant) { if (load_x) { // copy data to device - ggml_vk_h2d_tensor_2d(ctx, d_Qx, 0, src0, 0, 0, ggml_nrows(src0), compq, &extra->in_memcpys, &extra->in0_staging_event); + ggml_vk_h2d_tensor_2d(ctx, d_Qx, 0, src0, 0, 0, ggml_nrows(src0), compq); vk_staging_offset = qx_sz * ne02 * ne03; } @@ -2134,7 +2123,7 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con if (y_non_contig) { ggml_vk_cpy_to_contiguous(ctx, to_fp16_vk_1, src1, { *d_Qy, qy_buf_offset, VK_WHOLE_SIZE }, { *d_Y, 0, VK_WHOLE_SIZE }, dst->type); } else if (load_y) { - ggml_vk_h2d_tensor_2d(ctx, d_Qy, 0, src1, 0, 0, ggml_nrows(src1), compq, &extra->in_memcpys, &extra->in1_staging_event); + ggml_vk_h2d_tensor_2d(ctx, d_Qy, 0, src1, 0, 0, ggml_nrows(src1), compq); } uint32_t stride_batch_x = ne00*ne01; @@ -2154,7 +2143,7 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data); - ggml_vk_buffer_read_async(ctx, d_D, 0, d, sizeof(float) * d_ne * ne12 * ne13, compq, &extra->out_memcpys); + ggml_vk_buffer_read_async(ctx, d_D, 0, d, sizeof(float) * d_ne * ne12 * ne13, compq); } } @@ -2280,13 +2269,13 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, ggml_vk_cpy_to_contiguous(ctx, to_fp16_vk_0, src0, { *d_Qx, qx_buf_offset, VK_WHOLE_SIZE }, { *d_X, 0, VK_WHOLE_SIZE }, src0->type); } else if (load_x) { // copy data to device - ggml_vk_h2d_tensor_2d(ctx, d_Qx, 0, src0, 0, 0, ggml_nrows(src0), compq, &extra->in_memcpys, &extra->in0_staging_event); + ggml_vk_h2d_tensor_2d(ctx, d_Qx, 0, src0, 0, 0, ggml_nrows(src0), compq); } if (y_non_contig) { GGML_ASSERT(y_sz == ggml_type_size(src1->type) * y_ne); ggml_vk_cpy_to_contiguous(ctx, to_fp16_vk_1, src1, { *d_Qy, qy_buf_offset, VK_WHOLE_SIZE }, { *d_Y, 0, VK_WHOLE_SIZE }, src1->type); } else if (load_y) { - ggml_vk_h2d_tensor_2d(ctx, d_Qy, 0, src1, 0, 0, ggml_nrows(src1), compq, &extra->in_memcpys, &extra->in1_staging_event); + ggml_vk_h2d_tensor_2d(ctx, d_Qy, 0, src1, 0, 0, ggml_nrows(src1), compq); } for (uint64_t i13 = 0; i13 < ne13; i13++) { @@ -2322,7 +2311,7 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, // copy dst to host float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); ggml_vk_sync_buffers(ctx, compq); - ggml_vk_buffer_read_async(ctx, d_D, d_offset, d, sizeof(float) * d_ne, compq, &extra->out_memcpys); + ggml_vk_buffer_read_async(ctx, d_D, d_offset, d, sizeof(float) * d_ne, compq); } } } @@ -2396,7 +2385,7 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor const uint64_t d_shader_offset = d_buf_offset - d_buffer_offset; if (load_y) { - ggml_vk_h2d_tensor_2d(ctx, d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq, &extra->in_memcpys, &extra->in1_staging_event); + ggml_vk_h2d_tensor_2d(ctx, d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq); } // compute @@ -2408,7 +2397,7 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor // copy dst to host float * d = (float *) dst->data; ggml_vk_sync_buffers(ctx, compq); - ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne, compq, &extra->out_memcpys); + ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne, compq); } } @@ -2484,7 +2473,7 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * const uint64_t d_shader_offset = d_buf_offset - d_buffer_offset; if (load_y) { - ggml_vk_h2d_tensor_2d(ctx, d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq, &extra->in_memcpys, &extra->in1_staging_event); + ggml_vk_h2d_tensor_2d(ctx, d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq); } // compute @@ -2496,7 +2485,7 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * // copy dst to host float * d = (float *) dst->data; ggml_vk_sync_buffers(ctx, compq); - ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne, compq, &extra->out_memcpys); + ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne, compq); } } @@ -2823,11 +2812,11 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml // copy src0 to device if (transfer_src0) { - ggml_vk_h2d_tensor_2d(ctx, d_X, 0, src0, 0, 0, ggml_nrows(src0), vk_device.compute_queue, &extra->in_memcpys, &extra->in0_staging_event); + ggml_vk_h2d_tensor_2d(ctx, d_X, 0, src0, 0, 0, ggml_nrows(src0), vk_device.compute_queue); vk_staging_offset = x_sz * ne02 * ne03; } if (transfer_src1) { - ggml_vk_h2d_tensor_2d(ctx, d_Y, 0, src1, 0, 0, ggml_nrows(src1), vk_device.compute_queue, &extra->in_memcpys, &extra->in1_staging_event); + ggml_vk_h2d_tensor_2d(ctx, d_Y, 0, src1, 0, 0, ggml_nrows(src1), vk_device.compute_queue); } // Single call if dimension 2 is contiguous @@ -2873,7 +2862,7 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml } else if(dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) dst->data; - ggml_vk_buffer_read_async(ctx, d_D, 0, d, d_sz, vk_device.compute_queue, &extra->out_memcpys); + ggml_vk_buffer_read_async(ctx, d_D, 0, d, d_sz, vk_device.compute_queue); } } else { ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); @@ -2914,7 +2903,7 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml } if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host - ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset + d_offset, (char *) dst->data + i02*nb2 + i03*nb3, d_sz, vk_device.compute_queue, &extra->out_memcpys); + ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset + d_offset, (char *) dst->data + i02*nb2 + i03*nb3, d_sz, vk_device.compute_queue); } } } @@ -3023,7 +3012,7 @@ static void ggml_vk_nop(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; vk_buffer * d_D = &extra_src0->buffer_gpu; ggml_vk_sync_buffers(ctx, vk_device.compute_queue); - ggml_vk_buffer_read_async(ctx, d_D, 0, dst->data, d_D->size, vk_device.compute_queue, &extra->out_memcpys); + ggml_vk_buffer_read_async(ctx, d_D, 0, dst->data, d_D->size, vk_device.compute_queue); } } @@ -3548,17 +3537,6 @@ static void ggml_vk_tensor_stride_order(const ggml_tensor * tensor, std::array order; - ggml_vk_tensor_stride_order(tensor, order); - // Handle weird stride configurations - if (tensor->nb[order[2]] == tensor->nb[order[3]] && tensor->ne[order[2]] > tensor->ne[order[3]]) { - return tensor->ne[order[2]]*tensor->nb[order[2]]; - } - return tensor->ne[order[3]]*tensor->nb[order[3]]; -} - static ggml_tensor * ggml_vk_find_last_use(const ggml_tensor * node, ggml_cgraph * graph) { GGML_ASSERT(node != nullptr); @@ -4026,35 +4004,30 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) GGML_ASSERT(extra->ready); - // Do staging buffer copies - for (auto& cpy : extra->in_memcpys) { - memcpy(cpy.dst, cpy.src, cpy.n); - } - // Trigger staging events if any exists - if (extra->in0_staging_event != (vk::Event) VK_NULL_HANDLE) { - vk_device.device.setEvent(extra->in0_staging_event); - } - if (extra->in1_staging_event != (vk::Event) VK_NULL_HANDLE) { - vk_device.device.setEvent(extra->in1_staging_event); - } - vk_context& ctx = vk_gc.contexts[extra->ctx_idx]; - ggml_vk_submit(vk_device.compute_queue, ctx.seqs, vk_fence); + // Only run if ctx hasn't been submitted yet + if (!ctx.seqs.empty()) { + // Do staging buffer copies + for (auto& cpy : ctx.in_memcpys) { + memcpy(cpy.dst, cpy.src, cpy.n); + } + + ggml_vk_submit(vk_device.compute_queue, ctx.seqs, vk_fence); + } if (tensor == ctx.exit_tensor) { VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "ggml_vk_compute_forward waitForFences"); vk_device.device.resetFences({ vk_fence }); // Do staging buffer copies - for (auto& cpy : extra->out_memcpys) { + for (auto& cpy : ctx.out_memcpys) { memcpy(cpy.dst, cpy.src, cpy.n); } - extra->out_memcpys.clear(); + ctx.in_memcpys.clear(); + ctx.out_memcpys.clear(); } - extra->in_memcpys.clear(); - extra->ready = false; return true; @@ -4662,7 +4635,7 @@ void ggml_vk_print_tensor(const ggml_tensor * tensor, const char * name) { void * tensor_data = tensor->data; if (tensor->backend == GGML_BACKEND_GPU) { - const size_t tensor_size = ggml_vk_tensor_size(tensor); + const size_t tensor_size = ggml_nbytes(tensor); tensor_data = malloc(tensor_size); ggml_vk_buffer_read((vk_buffer *)tensor->data, 0, tensor_data, tensor_size, vk_device.transfer_queue); @@ -4762,7 +4735,7 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) if (src0 != nullptr) { src0_clone = ggml_dup_tensor(ctx, src0); - src0_size = ggml_vk_tensor_size(src0); + src0_size = ggml_nbytes(src0); src0_buffer = malloc(src0_size); src0_clone->data = src0_buffer; @@ -4805,7 +4778,7 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) if (src1 != nullptr) { src1_clone = ggml_dup_tensor(ctx, src1); - src1_size = ggml_vk_tensor_size(src1); + src1_size = ggml_nbytes(src1); src1_buffer = malloc(src1_size); src1_clone->data = src1_buffer; @@ -4951,7 +4924,7 @@ void ggml_vk_check_results_0(ggml_compute_params * params, ggml_tensor * tensor) ggml_vk_print_tensor(tensor_clone, "tensor_clone"); } - comp_size = ggml_vk_tensor_size(tensor_clone); + comp_size = ggml_nbytes(tensor_clone); comp_result = malloc(comp_size); memcpy(comp_result, tensor_clone->data, comp_size); @@ -4984,7 +4957,7 @@ void ggml_vk_check_results_1(ggml_compute_params * params, ggml_tensor * tensor) void * tensor_data = tensor->data; if (tensor->backend == GGML_BACKEND_GPU) { - size_t tensor_size = ggml_vk_tensor_size(tensor); + size_t tensor_size = ggml_nbytes(tensor); tensor_data = malloc(tensor_size); ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; From a5cca6cd8ce0564de7984ca7ebe82c3d960db99e Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Fri, 26 Jan 2024 19:01:33 +0100 Subject: [PATCH 139/142] Move queue into context Add not-yet-enabled async backend ops --- ggml-vulkan.cpp | 320 +++++++++++++++++++++++++++++++----------------- 1 file changed, 207 insertions(+), 113 deletions(-) diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index 4ab6aa7f66810..f902008e8443d 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -193,6 +193,8 @@ struct vk_context { std::vector in_memcpys; std::vector out_memcpys; + + vk_queue * q; }; struct ggml_tensor_extra_gpu { @@ -469,11 +471,11 @@ static vk_sequence ggml_vk_create_sequence_1(vk_queue& q, std::vector& sequences, vk::Fence fence) { +static void ggml_vk_submit(vk_context& ctx, vk::Fence fence) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_submit(" << q.queue_family_index << " (" << q.queue << "), " << sequences.size() << ", " << fence << ")" << std::endl; + std::cerr << "ggml_vk_submit(" << ctx.seqs.size() << ", " << fence << ")" << std::endl; #endif - if (sequences.empty()) { + if (ctx.seqs.empty()) { return; } @@ -488,7 +490,7 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: size_t reserve = 0; - for (const auto& sequence : sequences) { + for (const auto& sequence : ctx.seqs) { reserve += sequence.size(); } @@ -501,7 +503,7 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: submit_infos.reserve(reserve); stage_flags.reserve(reserve); - for (const auto& sequence : sequences) { + for (const auto& sequence : ctx.seqs) { for (const auto& submission : sequence) { stage_flags.push_back({}); idx++; @@ -510,7 +512,7 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: tl_signal_vals.push_back({}); tl_signal_semaphores.push_back({}); for (size_t i = 0; i < submission.wait_semaphores.size(); i++) { - stage_flags[idx].push_back(q.stage_flags); + stage_flags[idx].push_back(ctx.q->stage_flags); tl_wait_vals[idx].push_back(submission.wait_semaphores[i].value); tl_wait_semaphores[idx].push_back(submission.wait_semaphores[i].s); } @@ -540,9 +542,9 @@ static void ggml_vk_submit(vk_queue& q, std::vector& sequences, vk: } } - q.queue.submit(submit_infos, fence); + ctx.q->queue.submit(submit_infos, fence); - sequences.clear(); + ctx.seqs.clear(); } static uint32_t ggml_vk_find_queue_family_index(std::vector& queue_family_props, const vk::QueueFlags& required, const vk::QueueFlags& avoid, int32_t compute_index, uint32_t min_num_queues) { @@ -606,7 +608,7 @@ static vk_queue ggml_vk_create_queue(uint32_t queue_family_index, uint32_t queue return q; } -static vk_context * ggml_vk_create_context() { +static vk_context * ggml_vk_create_context(vk_queue& q) { #ifdef VK_DEBUG std::cerr << "ggml_vk_create_context()" << std::endl; #endif @@ -614,6 +616,7 @@ static vk_context * ggml_vk_create_context() { vk_context * result = &vk_gc.contexts[vk_gc.contexts.size() - 1]; memset((void *) result, 0, sizeof(vk_context)); result->idx = vk_gc.contexts.size() - 1; + result->q = &q; return result; } @@ -713,15 +716,15 @@ static vk_subbuffer ggml_vk_subbuffer(vk_buffer& buf) { return { buf, 0, VK_WHOLE_SIZE }; } -static void ggml_vk_sync_buffers(vk_context& ctx, vk_queue& q) { +static void ggml_vk_sync_buffers(vk_context& ctx) { #ifdef VK_DEBUG std::cerr << "ggml_vk_sync_buffers()" << std::endl; #endif const std::vector mem_barriers{ { { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite }, { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite } } }; ctx.s->buffer.pipelineBarrier( - q.stage_flags, - q.stage_flags, + ctx.q->stage_flags, + ctx.q->stage_flags, {}, mem_barriers, {}, @@ -1362,7 +1365,7 @@ static void ggml_vk_ctx_end(vk_context& ctx) { ctx.s = nullptr; } -static void ggml_vk_ctx_begin(vk_context& ctx, vk_queue& q) { +static void ggml_vk_ctx_begin(vk_context& ctx) { #ifdef VK_DEBUG std::cerr << "ggml_vk_ctx_begin(" << &ctx << ")" << std::endl; #endif @@ -1370,7 +1373,7 @@ static void ggml_vk_ctx_begin(vk_context& ctx, vk_queue& q) { ggml_vk_ctx_end(ctx); } - ctx.seqs.push_back({ ggml_vk_begin_submission(q) }); + ctx.seqs.push_back({ ggml_vk_begin_submission(*ctx.q) }); ctx.s = ctx.seqs[ctx.seqs.size() - 1].data(); } @@ -1386,7 +1389,7 @@ static void deferred_memcpy(void * dst, const void * src, size_t size, std::vect } } -static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_t offset, const ggml_tensor * tensor, vk_queue& q, bool sync_staging = false) { +static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_t offset, const ggml_tensor * tensor, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_nc_async(" << tensor << ")" << std::endl; #endif @@ -1453,7 +1456,7 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ } } - ggml_vk_sync_buffers(ctx, q); + ggml_vk_sync_buffers(ctx); ctx.s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); return; } @@ -1479,7 +1482,7 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ VkBufferCopy buf_copy{ staging_offset, offset, copy_size }; - ggml_vk_sync_buffers(ctx, q); + ggml_vk_sync_buffers(ctx); vkCmdCopyBuffer(ctx.s->buffer, staging->buffer, dst->buffer, 1, &buf_copy); for (uint64_t i3 = 0; i3 < ne3; i3++) { @@ -1504,7 +1507,7 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ } } -static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q, bool sync_staging = false) { +static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; #endif @@ -1543,7 +1546,7 @@ static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_ } } - ggml_vk_sync_buffers(ctx, q); + ggml_vk_sync_buffers(ctx); ctx.s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); return; } @@ -1574,7 +1577,7 @@ static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_ offset, copy_size}; - ggml_vk_sync_buffers(ctx, q); + ggml_vk_sync_buffers(ctx); vkCmdCopyBuffer(ctx.s->buffer, staging->buffer, dst->buffer, 1, &buf_copy); if (width == spitch) { @@ -1586,14 +1589,14 @@ static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_ } } -static void ggml_vk_buffer_write_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q, bool sync_staging = false) { +static void ggml_vk_buffer_write_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t size, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; #endif - return ggml_vk_buffer_write_2d_async(ctx, dst, offset, src, size, size, 1, q, sync_staging); + return ggml_vk_buffer_write_2d_async(ctx, dst, offset, src, size, size, 1, sync_staging); } -static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_queue& q) { +static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d(" << width << ", " << height << ")" << std::endl; #endif @@ -1605,29 +1608,29 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * memcpy((uint8_t *)dst->ptr + offset + i * width, (const uint8_t *) src + i * spitch, width); } } else { - vk_context * ctx = ggml_vk_create_context(); - ggml_vk_ctx_begin(*ctx, q); - ggml_vk_buffer_write_2d_async(*ctx, dst, offset, src, spitch, width, height, q, true); + vk_context * ctx = ggml_vk_create_context(vk_device.transfer_queue); + ggml_vk_ctx_begin(*ctx); + ggml_vk_buffer_write_2d_async(*ctx, dst, offset, src, spitch, width, height, true); ggml_vk_ctx_end(*ctx); for (auto& cpy : ctx->in_memcpys) { memcpy(cpy.dst, cpy.src, cpy.n); } - ggml_vk_submit(q, ctx->seqs, vk_fence); + ggml_vk_submit(*ctx, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_buffer_write_2d waitForFences"); vk_device.device.resetFences({ vk_fence }); } } -static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src, size_t size, vk_queue& q) { +static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src, size_t size) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write(" << size << ")" << std::endl; #endif - ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1, q); + ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1); } -static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, vk_queue& q, bool sync_staging = false) { +static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_read_2d_async(offset=" << offset << ", width=" << width << ", height=" << height << ")" << std::endl; #endif @@ -1664,7 +1667,7 @@ static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t if (buf != nullptr) { // Memory is pinned, use as staging buffer - ggml_vk_sync_buffers(ctx, q); + ggml_vk_sync_buffers(ctx); ctx.s->buffer.copyBuffer(src->buffer, buf->buffer, slices); return; @@ -1690,17 +1693,17 @@ static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t } } - ggml_vk_sync_buffers(ctx, q); + ggml_vk_sync_buffers(ctx); ctx.s->buffer.copyBuffer(src->buffer, staging->buffer, slices); deferred_memcpy(dst, staging->ptr, copy_size, &ctx.out_memcpys); } -static void ggml_vk_buffer_read_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q, bool sync_staging = false) { - return ggml_vk_buffer_read_2d_async(ctx, src, offset, dst, size, size, size, 1, q, sync_staging); +static void ggml_vk_buffer_read_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t size, bool sync_staging = false) { + return ggml_vk_buffer_read_2d_async(ctx, src, offset, dst, size, size, size, 1, sync_staging); } -static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size, vk_queue& q) { +static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_t size) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_read(" << offset << ", " << size << ")" << std::endl; #endif @@ -1709,12 +1712,12 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ memcpy(dst, (uint8_t *) src->ptr + offset, size); } else { - vk_context * ctx = ggml_vk_create_context(); - ggml_vk_ctx_begin(*ctx, q); - ggml_vk_buffer_read_async(*ctx, src, offset, dst, size, q, true); + vk_context * ctx = ggml_vk_create_context(vk_device.transfer_queue); + ggml_vk_ctx_begin(*ctx); + ggml_vk_buffer_read_async(*ctx, src, offset, dst, size, true); ggml_vk_ctx_end(*ctx); - ggml_vk_submit(q, ctx->seqs, vk_fence); + ggml_vk_submit(*ctx, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_buffer_read waitForFences"); vk_device.device.resetFences({ vk_fence }); @@ -1724,36 +1727,46 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } } -static void ggml_vk_buffer_copy(vk_buffer * dst, size_t dst_offset, vk_buffer * src, size_t src_offset, size_t size, vk_queue& q) { +static void ggml_vk_buffer_copy_async(vk_context& ctx, vk_buffer * dst, size_t dst_offset, vk_buffer * src, size_t src_offset, size_t size) { +#ifdef VK_DEBUG + std::cerr << "ggml_vk_buffer_copy_async(" << size << ")" << std::endl; +#endif + VkBufferCopy bc{ src_offset, dst_offset, size }; + + vkCmdCopyBuffer(ctx.s->buffer, src->buffer, dst->buffer, 1, &bc); +} + +static void ggml_vk_buffer_copy(vk_buffer * dst, size_t dst_offset, vk_buffer * src, size_t src_offset, size_t size) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_copy(" << size << ")" << std::endl; #endif VkBufferCopy bc{ src_offset, dst_offset, size }; - vk_context * ctx = ggml_vk_create_context(); - ggml_vk_ctx_begin(*ctx, q); + vk_context * ctx = ggml_vk_create_context(vk_device.transfer_queue); + ggml_vk_ctx_begin(*ctx); vkCmdCopyBuffer(ctx->s->buffer, src->buffer, dst->buffer, 1, &bc); + ggml_vk_buffer_copy_async(*ctx, dst, dst_offset, src, src_offset, size); ggml_vk_ctx_end(*ctx); - ggml_vk_submit(q, ctx->seqs, vk_fence); + ggml_vk_submit(*ctx, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_buffer_copy waitForFences"); vk_device.device.resetFences({ vk_fence }); } -static void ggml_vk_buffer_memset(vk_buffer* dst, size_t offset, uint32_t c, size_t size, vk_queue& q) { +static void ggml_vk_buffer_memset(vk_buffer* dst, size_t offset, uint32_t c, size_t size) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_memset(" << offset << ", " << c << ", " << size << ")" << std::endl; #endif - vk_context * ctx = ggml_vk_create_context(); - ggml_vk_ctx_begin(*ctx, q); + vk_context * ctx = ggml_vk_create_context(vk_device.transfer_queue); + ggml_vk_ctx_begin(*ctx); ctx->s->buffer.fillBuffer(dst->buffer, offset, size, c); ggml_vk_ctx_end(*ctx); - ggml_vk_submit(q, ctx->seqs, vk_fence); + ggml_vk_submit(*ctx, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_memset waitForFences"); vk_device.device.resetFences({ vk_fence }); } -static void ggml_vk_h2d_tensor_2d(vk_context& ctx, vk_buffer * dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1, vk_queue& q) { +static void ggml_vk_h2d_tensor_2d(vk_context& ctx, vk_buffer * dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1) { #ifdef VK_DEBUG std::cerr << "ggml_vk_h2d_tensor_2d(dst=" << dst << ", offset=" << offset << ", src=" << src << ", i3=" << i3 << ", i2=" << i2 << ", i1=" << i1 << ")" << std::endl; #endif @@ -1770,20 +1783,20 @@ static void ggml_vk_h2d_tensor_2d(vk_context& ctx, vk_buffer * dst, size_t offse const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3); if (nb0 == ts && nb1 == row_length) { - return ggml_vk_buffer_write_async(ctx, dst, offset, x, i1*nb1, q); + return ggml_vk_buffer_write_async(ctx, dst, offset, x, i1*nb1); } if (nb0 == ts && (i1 == ne1 || !ggml_is_permuted(src))) { - return ggml_vk_buffer_write_2d_async(ctx, dst, offset, x, nb1, row_length, i1, q); + return ggml_vk_buffer_write_2d_async(ctx, dst, offset, x, nb1, row_length, i1); } GGML_ASSERT(i3 == 0); GGML_ASSERT(i2 == 0); GGML_ASSERT(i1 == (uint64_t) ggml_nrows(src)); - return ggml_vk_buffer_write_nc_async(ctx, dst, offset, src, q); + return ggml_vk_buffer_write_nc_async(ctx, dst, offset, src); } -static void ggml_vk_d2h_tensor_2d(vk_context& ctx, vk_buffer * src, size_t offset, const ggml_tensor * dst, vk_queue& q) { +static void ggml_vk_d2h_tensor_2d(vk_context& ctx, vk_buffer * src, size_t offset, const ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_d2h_tensor_2d()" << std::endl; #endif @@ -1801,10 +1814,10 @@ static void ggml_vk_d2h_tensor_2d(vk_context& ctx, vk_buffer * src, size_t offse const size_t row_length = ts*ne0/bs; if (ggml_is_contiguous(dst)) { - return ggml_vk_buffer_read_async(ctx, src, offset, dst->data, ne1*nb1*ne2*ne3, q); + return ggml_vk_buffer_read_async(ctx, src, offset, dst->data, ne1*nb1*ne2*ne3); } if (nb0 == ts) { - return ggml_vk_buffer_read_2d_async(ctx, src, offset, dst->data, nb1, nb1, row_length, ne1*ne2*ne3, q); + return ggml_vk_buffer_read_2d_async(ctx, src, offset, dst->data, nb1, nb1, row_length, ne1*ne2*ne3); } GGML_ASSERT(false); } @@ -1902,12 +1915,12 @@ static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16_x, bool bit16_y, in return aligned ? &vk_pipeline_matmul_f32_aligned_l : &vk_pipeline_matmul_f32_l; } -static void ggml_vk_matmul(vk_context& ctx, vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& split_k_buffer, uint32_t m, uint32_t n, uint32_t k, uint32_t stride_a, uint32_t stride_b, uint32_t stride_d, uint32_t split_k, uint32_t d_offset, uint32_t batch, uint32_t ne02, uint32_t ne12, uint32_t broadcast2, uint32_t broadcast3, uint32_t batch_stride_a, uint32_t batch_stride_b, uint32_t batch_stride_d, vk_queue& q) { +static void ggml_vk_matmul(vk_context& ctx, vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& split_k_buffer, uint32_t m, uint32_t n, uint32_t k, uint32_t stride_a, uint32_t stride_b, uint32_t stride_d, uint32_t split_k, uint32_t d_offset, uint32_t batch, uint32_t ne02, uint32_t ne12, uint32_t broadcast2, uint32_t broadcast3, uint32_t batch_stride_a, uint32_t batch_stride_b, uint32_t batch_stride_d) { #ifdef VK_DEBUG std::cerr << "ggml_vk_matmul(a: (" << a.buffer.buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer.buffer << ", " << b.offset << ", " << b.size << "), c: (" << d.buffer.buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << split_k_buffer.buffer.buffer << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", split_k: " << split_k << ", d_offset: " << d_offset << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ")" << std::endl; #endif if (split_k == 1) { - ggml_vk_sync_buffers(ctx, q); + ggml_vk_sync_buffers(ctx); const std::array pc = { m, n, k, stride_a, stride_b, stride_d, k, d_offset, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d }; ggml_vk_dispatch_pipeline(*ctx.s, pipeline, { a, b, d }, pc.size() * sizeof(uint32_t), pc.data(), { m, n, batch }); return; @@ -1915,11 +1928,11 @@ static void ggml_vk_matmul(vk_context& ctx, vk_pipeline& pipeline, vk_subbuffer& GGML_ASSERT(batch_stride_d == m * n); - ggml_vk_sync_buffers(ctx, q); + ggml_vk_sync_buffers(ctx); // Synchronize the two submissions const std::array pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k), 0, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d * split_k }; ggml_vk_dispatch_pipeline(*ctx.s, pipeline, { a, b, split_k_buffer }, pc1.size() * sizeof(uint32_t), pc1.data(), { m * split_k, n, batch }); - ggml_vk_sync_buffers(ctx, q); + ggml_vk_sync_buffers(ctx); const std::array pc2 = { (uint32_t)(m * n * batch), split_k, d_offset }; ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(uint32_t), pc2.data(), { m * n * batch, 1, 1 }); return; @@ -1952,8 +1965,6 @@ static void ggml_vk_cpy_to_contiguous(vk_context& ctx, vk_pipeline * pipeline, c std::cerr << "ggml_vk_cpy_to_contiguous((" << tensor << ", type=" << tensor->type << ", backend=" << tensor->backend << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << "), "; std::cerr << "buffer in size=" << in.buffer.size << ", buffer out size=" << out.buffer.size << ")" << std::endl; #endif - vk_queue& compq = vk_device.compute_queue; - const int tensor_type_size = ggml_type_size(tensor->type); const int dst_type_size = ggml_type_size(buffer_type); @@ -1967,7 +1978,7 @@ static void ggml_vk_cpy_to_contiguous(vk_context& ctx, vk_pipeline * pipeline, c (uint32_t)tensor->ne[0], (uint32_t)tensor->ne[1], 1 , (uint32_t)tensor->ne[0] , nb2, 0, }; - ggml_vk_sync_buffers(ctx, compq); + ggml_vk_sync_buffers(ctx); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { in, out }, sizeof(vk_op_cpy_push_constants), &pc, { ne, 1, 1 }); } @@ -1996,8 +2007,6 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con const uint64_t r2 = ne12 / ne02; const uint64_t r3 = ne13 / ne03; - vk_queue& compq = vk_device.compute_queue; - const bool load_x = src0->backend != GGML_BACKEND_GPU; const bool load_y = src1->backend != GGML_BACKEND_GPU; @@ -2110,20 +2119,20 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con } else if (load_x || qx_needs_dequant) { if (load_x) { // copy data to device - ggml_vk_h2d_tensor_2d(ctx, d_Qx, 0, src0, 0, 0, ggml_nrows(src0), compq); + ggml_vk_h2d_tensor_2d(ctx, d_Qx, 0, src0, 0, 0, ggml_nrows(src0)); vk_staging_offset = qx_sz * ne02 * ne03; } if (qx_needs_dequant) { const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(ctx, compq); + ggml_vk_sync_buffers(ctx); ggml_vk_dispatch_pipeline(*ctx.s, *to_fp16_vk_0, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 }, { *d_X, 0, x_sz * ne02 * ne03 } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)(x_ne * ne02 * ne03), 1, 1}); } } if (y_non_contig) { ggml_vk_cpy_to_contiguous(ctx, to_fp16_vk_1, src1, { *d_Qy, qy_buf_offset, VK_WHOLE_SIZE }, { *d_Y, 0, VK_WHOLE_SIZE }, dst->type); } else if (load_y) { - ggml_vk_h2d_tensor_2d(ctx, d_Qy, 0, src1, 0, 0, ggml_nrows(src1), compq); + ggml_vk_h2d_tensor_2d(ctx, d_Qy, 0, src1, 0, 0, ggml_nrows(src1)); } uint32_t stride_batch_x = ne00*ne01; @@ -2138,12 +2147,12 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con } // compute - ggml_vk_matmul(ctx, *pipeline, { *d_X, x_buf_offset, x_sz * ne02 * ne03 }, { *d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { *d_D, d_buf_offset, d_sz * ne12 * ne13 }, { vk_prealloc_split_k, 0, split_k_d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, 0, ne12*ne13, ne02, ne12, r2, r3, stride_batch_x, stride_batch_y, ne20*ne21, compq); // NOLINT + ggml_vk_matmul(ctx, *pipeline, { *d_X, x_buf_offset, x_sz * ne02 * ne03 }, { *d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { *d_D, d_buf_offset, d_sz * ne12 * ne13 }, { vk_prealloc_split_k, 0, split_k_d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, 0, ne12*ne13, ne02, ne12, r2, r3, stride_batch_x, stride_batch_y, ne20*ne21); // NOLINT if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data); - ggml_vk_buffer_read_async(ctx, d_D, 0, d, sizeof(float) * d_ne * ne12 * ne13, compq); + ggml_vk_buffer_read_async(ctx, d_D, 0, d, sizeof(float) * d_ne * ne12 * ne13); } } @@ -2180,7 +2189,6 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, const bool x_non_contig = !load_x && !ggml_vk_dim01_contiguous(src0); const bool y_non_contig = !load_y && !ggml_vk_dim01_contiguous(src1); - vk_queue& compq = vk_device.compute_queue; const bool f16_f32_kernel = src1->type == GGML_TYPE_F32; const bool qx_needs_dequant = x_non_contig; @@ -2269,13 +2277,13 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, ggml_vk_cpy_to_contiguous(ctx, to_fp16_vk_0, src0, { *d_Qx, qx_buf_offset, VK_WHOLE_SIZE }, { *d_X, 0, VK_WHOLE_SIZE }, src0->type); } else if (load_x) { // copy data to device - ggml_vk_h2d_tensor_2d(ctx, d_Qx, 0, src0, 0, 0, ggml_nrows(src0), compq); + ggml_vk_h2d_tensor_2d(ctx, d_Qx, 0, src0, 0, 0, ggml_nrows(src0)); } if (y_non_contig) { GGML_ASSERT(y_sz == ggml_type_size(src1->type) * y_ne); ggml_vk_cpy_to_contiguous(ctx, to_fp16_vk_1, src1, { *d_Qy, qy_buf_offset, VK_WHOLE_SIZE }, { *d_Y, 0, VK_WHOLE_SIZE }, src1->type); } else if (load_y) { - ggml_vk_h2d_tensor_2d(ctx, d_Qy, 0, src1, 0, 0, ggml_nrows(src1), compq); + ggml_vk_h2d_tensor_2d(ctx, d_Qy, 0, src1, 0, 0, ggml_nrows(src1)); } for (uint64_t i13 = 0; i13 < ne13; i13++) { @@ -2298,20 +2306,20 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, if (!y_non_contig && qy_needs_dequant) { const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; - ggml_vk_sync_buffers(ctx, compq); + ggml_vk_sync_buffers(ctx); ggml_vk_dispatch_pipeline(*ctx.s, *to_fp16_vk_1, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); } // compute const std::array pc = { (int)ne00, (int)(y_shader_offset / ggml_type_size(src1->type)), (int)(d_shader_offset / ggml_type_size(dst->type))}; - ggml_vk_sync_buffers(ctx, compq); + ggml_vk_sync_buffers(ctx); ggml_vk_dispatch_pipeline(*ctx.s, *dmmv, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 3 * sizeof(int), &pc, { (uint32_t)ne01, 1, 1}); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3); - ggml_vk_sync_buffers(ctx, compq); - ggml_vk_buffer_read_async(ctx, d_D, d_offset, d, sizeof(float) * d_ne, compq); + ggml_vk_sync_buffers(ctx); + ggml_vk_buffer_read_async(ctx, d_D, d_offset, d, sizeof(float) * d_ne); } } } @@ -2344,8 +2352,6 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor const bool load_y = src1->backend != GGML_BACKEND_GPU; - vk_queue& compq = vk_device.compute_queue; - const uint64_t x_ne = ne00 * ne01 * ne02; const uint64_t y_ne = ne10 * ne11 * ne12; const uint64_t d_ne = ne01 * ne11 * ne12; @@ -2385,19 +2391,19 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor const uint64_t d_shader_offset = d_buf_offset - d_buffer_offset; if (load_y) { - ggml_vk_h2d_tensor_2d(ctx, d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq); + ggml_vk_h2d_tensor_2d(ctx, d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1)); } // compute const std::array pc = { (uint32_t)ne00, (uint32_t)ne01, (uint32_t)ne02, (uint32_t)ne12, (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) }; - ggml_vk_sync_buffers(ctx, compq); + ggml_vk_sync_buffers(ctx); ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_mul_mat_vec_p021_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 6 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) dst->data; - ggml_vk_sync_buffers(ctx, compq); - ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne, compq); + ggml_vk_sync_buffers(ctx); + ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne); } } @@ -2431,8 +2437,6 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * const bool load_y = src1->backend != GGML_BACKEND_GPU; - vk_queue& compq = vk_device.compute_queue; - const uint64_t d_ne = ne01 * ne11 * ne12; const uint32_t row_stride_x = nb01 / sizeof(ggml_fp16_t); @@ -2473,19 +2477,19 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * const uint64_t d_shader_offset = d_buf_offset - d_buffer_offset; if (load_y) { - ggml_vk_h2d_tensor_2d(ctx, d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1), compq); + ggml_vk_h2d_tensor_2d(ctx, d_Qy, qy_buf_offset, src1, 0, 0, ggml_nrows(src1)); } // compute const std::array pc = { (uint32_t)ne00, (uint32_t)ne01, row_stride_x, channel_stride_x, (uint32_t)(ne12 / ne02), (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) }; - ggml_vk_sync_buffers(ctx, compq); + ggml_vk_sync_buffers(ctx); ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_mul_mat_vec_nc_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 7 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) dst->data; - ggml_vk_sync_buffers(ctx, compq); - ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne, compq); + ggml_vk_sync_buffers(ctx); + ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset, d, sizeof(float) * d_ne); } } @@ -2580,7 +2584,7 @@ static void ggml_vk_op_repeat(vk_context& ctx, const ggml_tensor * src0, const g } } - ggml_vk_sync_buffers(ctx, vk_device.compute_queue); + ggml_vk_sync_buffers(ctx); ctx.s->buffer.copyBuffer(src_buf->buffer, dst_buf->buffer, copies); (void) src1; @@ -2812,11 +2816,11 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml // copy src0 to device if (transfer_src0) { - ggml_vk_h2d_tensor_2d(ctx, d_X, 0, src0, 0, 0, ggml_nrows(src0), vk_device.compute_queue); + ggml_vk_h2d_tensor_2d(ctx, d_X, 0, src0, 0, 0, ggml_nrows(src0)); vk_staging_offset = x_sz * ne02 * ne03; } if (transfer_src1) { - ggml_vk_h2d_tensor_2d(ctx, d_Y, 0, src1, 0, 0, ggml_nrows(src1), vk_device.compute_queue); + ggml_vk_h2d_tensor_2d(ctx, d_Y, 0, src1, 0, 0, ggml_nrows(src1)); } // Single call if dimension 2 is contiguous @@ -2848,21 +2852,21 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml if (!use_src1 && op == GGML_OP_SOFT_MAX) { // Empty src1 is possible on soft_max, but the shader needs a buffer - ggml_vk_sync_buffers(ctx, vk_device.compute_queue); + ggml_vk_sync_buffers(ctx); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else if (use_src1) { - ggml_vk_sync_buffers(ctx, vk_device.compute_queue); + ggml_vk_sync_buffers(ctx); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else { - ggml_vk_sync_buffers(ctx, vk_device.compute_queue); + ggml_vk_sync_buffers(ctx); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } if (dst->backend == GGML_BACKEND_CPU && op == GGML_OP_CPY) { - ggml_vk_d2h_tensor_2d(ctx, d_D, 0, dst, vk_device.compute_queue); + ggml_vk_d2h_tensor_2d(ctx, d_D, 0, dst); } else if(dst->backend == GGML_BACKEND_CPU) { // copy dst to host float * d = (float *) dst->data; - ggml_vk_buffer_read_async(ctx, d_D, 0, d, d_sz, vk_device.compute_queue); + ggml_vk_buffer_read_async(ctx, d_D, 0, d, d_sz); } } else { ggml_vk_pipeline_allocate_descriptor_sets(*pipeline, ne02 * ne03); @@ -2892,18 +2896,18 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml if (!use_src1 && op == GGML_OP_SOFT_MAX) { // Empty src1 is possible on soft_max, but the shader needs a buffer - ggml_vk_sync_buffers(ctx, vk_device.compute_queue); + ggml_vk_sync_buffers(ctx); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else if (use_src1) { - ggml_vk_sync_buffers(ctx, vk_device.compute_queue); + ggml_vk_sync_buffers(ctx); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); } else { - ggml_vk_sync_buffers(ctx, vk_device.compute_queue); + ggml_vk_sync_buffers(ctx); ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); } if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host - ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset + d_offset, (char *) dst->data + i02*nb2 + i03*nb3, d_sz, vk_device.compute_queue); + ggml_vk_buffer_read_async(ctx, d_D, d_buf_offset + d_offset, (char *) dst->data + i02*nb2 + i03*nb3, d_sz); } } } @@ -3008,11 +3012,10 @@ static void ggml_vk_rope(vk_context& ctx, const ggml_tensor * src0, const ggml_t static void ggml_vk_nop(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { // If backend is CPU, data from src0 has to be copied off the device if (dst->backend == GGML_BACKEND_CPU) { - ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra; ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; vk_buffer * d_D = &extra_src0->buffer_gpu; - ggml_vk_sync_buffers(ctx, vk_device.compute_queue); - ggml_vk_buffer_read_async(ctx, d_D, 0, dst->data, d_D->size, vk_device.compute_queue); + ggml_vk_sync_buffers(ctx); + ggml_vk_buffer_read_async(ctx, d_D, 0, dst->data, d_D->size); } } @@ -3824,8 +3827,8 @@ void ggml_vk_build_graph(ggml_tensor * node, bool last_node){ } if (vk_ctx == nullptr) { - vk_ctx = ggml_vk_create_context(); - ggml_vk_ctx_begin(*vk_ctx, vk_device.compute_queue); + vk_ctx = ggml_vk_create_context(vk_device.compute_queue); + ggml_vk_ctx_begin(*vk_ctx); } switch (node->op) { @@ -4013,7 +4016,7 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) memcpy(cpy.dst, cpy.src, cpy.n); } - ggml_vk_submit(vk_device.compute_queue, ctx.seqs, vk_fence); + ggml_vk_submit(ctx, vk_fence); } if (tensor == ctx.exit_tensor) { @@ -4194,7 +4197,7 @@ GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t bu ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; - ggml_vk_buffer_write(&extra->buffer_gpu, extra->offset + offset, data, size, vk_device.transfer_queue); + ggml_vk_buffer_write(&extra->buffer_gpu, extra->offset + offset, data, size); UNUSED(buffer); } @@ -4207,7 +4210,7 @@ GGML_CALL static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t bu ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; - ggml_vk_buffer_read(&extra->buffer_gpu, extra->offset + offset, data, size, vk_device.transfer_queue); + ggml_vk_buffer_read(&extra->buffer_gpu, extra->offset + offset, data, size); UNUSED(buffer); } @@ -4217,7 +4220,7 @@ GGML_CALL static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t bu ggml_tensor_extra_gpu * src_extra = (ggml_tensor_extra_gpu *) src->extra; ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra; - ggml_vk_buffer_copy(&src_extra->buffer_gpu, src_extra->offset, &dst_extra->buffer_gpu, dst_extra->offset, ggml_nbytes(src), vk_device.transfer_queue); + ggml_vk_buffer_copy(&src_extra->buffer_gpu, src_extra->offset, &dst_extra->buffer_gpu, dst_extra->offset, ggml_nbytes(src)); return true; } @@ -4229,7 +4232,7 @@ GGML_CALL static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t bu GGML_CALL static void ggml_backend_vk_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) { ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context; - ggml_vk_buffer_memset(&ctx->dev_buffer, 0, value, buffer->size, vk_device.transfer_queue); + ggml_vk_buffer_memset(&ctx->dev_buffer, 0, value, buffer->size); } static ggml_backend_buffer_i ggml_backend_vk_buffer_interface = { @@ -4396,6 +4399,96 @@ GGML_CALL static ggml_backend_buffer_type_t ggml_backend_vk_get_default_buffer_t UNUSED(backend); } +GGML_CALL static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) { +#ifdef VK_DEBUG + std::cerr << "ggml_backend_vk_set_tensor_async(" << size << ")" << std::endl; +#endif + GGML_ASSERT(tensor->buffer->buft == ggml_backend_vk_buffer_type() && "unsupported buffer type"); + GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); + + ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; + + if (vk_ctx == nullptr) { + // Initialize new transfer context + vk_ctx = ggml_vk_create_context(vk_device.transfer_queue); + ggml_vk_ctx_begin(*vk_ctx); + } + + ggml_vk_buffer_write_async(*vk_ctx, &extra->buffer_gpu, extra->offset + offset, data, size); + + UNUSED(backend); +} + +GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) { +#ifdef VK_DEBUG + std::cerr << "ggml_backend_vk_get_tensor_async(" << size << ")" << std::endl; +#endif + GGML_ASSERT(tensor->buffer->buft == ggml_backend_vk_buffer_type() && "unsupported buffer type"); + GGML_ASSERT(tensor->backend == GGML_BACKEND_GPU); + + ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra; + + if (vk_ctx == nullptr) { + // Initialize new transfer context + vk_ctx = ggml_vk_create_context(vk_device.transfer_queue); + ggml_vk_ctx_begin(*vk_ctx); + } + + ggml_vk_buffer_read_async(*vk_ctx, &extra->buffer_gpu, extra->offset + offset, data, size); + + UNUSED(backend); +} + +GGML_CALL static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend, const ggml_tensor * src, ggml_tensor * dst) { +#ifdef VK_DEBUG + std::cerr << "ggml_backend_vk_cpy_tensor_async()" << std::endl; +#endif + if (dst->buffer->buft == ggml_backend_vk_buffer_type() && ggml_backend_buffer_is_vk(src->buffer)) { + ggml_tensor_extra_gpu * src_extra = (ggml_tensor_extra_gpu *) src->extra; + ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra; + + if (vk_ctx == nullptr) { + // Initialize new transfer context + vk_ctx = ggml_vk_create_context(vk_device.transfer_queue); + ggml_vk_ctx_begin(*vk_ctx); + } + + ggml_vk_buffer_copy_async(*vk_ctx, &src_extra->buffer_gpu, src_extra->offset, &dst_extra->buffer_gpu, dst_extra->offset, ggml_nbytes(src)); + return true; + } + + return false; + + UNUSED(backend); +} + +GGML_CALL static void ggml_backend_vk_synchronize(ggml_backend_t backend) { +#ifdef VK_DEBUG + std::cerr << "ggml_backend_vk_synchronize()" << std::endl; +#endif + if(vk_ctx == nullptr) { + return; + } + + ggml_vk_ctx_end(*vk_ctx); + + for (auto& cpy : vk_ctx->in_memcpys) { + memcpy(cpy.dst, cpy.src, cpy.n); + } + + ggml_vk_submit(*vk_ctx, vk_fence); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "ggml_backend_vk_synchronize waitForFences"); + vk_device.device.resetFences({ vk_fence }); + + for (auto& cpy : vk_ctx->out_memcpys) { + memcpy(cpy.dst, cpy.src, cpy.n); + } + + vk_ctx = nullptr; + + UNUSED(backend); +} + GGML_CALL static bool ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cgraph * cgraph) { // ggml_backend_vk_context * vk_ctx = (ggml_backend_vk_context *)backend->context; @@ -4532,14 +4625,15 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const UNUSED(backend); } +// TODO: enable async and synchronize static ggml_backend_i ggml_backend_vk_interface = { /* .get_name = */ ggml_backend_vk_name, /* .free = */ ggml_backend_vk_free, /* .get_default_buffer_type = */ ggml_backend_vk_get_default_buffer_type, - /* .set_tensor_async = */ NULL, - /* .get_tensor_async = */ NULL, - /* .cpy_tensor_async = */ NULL, - /* .synchronize = */ NULL, + /* .set_tensor_async = */ NULL, // ggml_backend_vk_set_tensor_async, + /* .get_tensor_async = */ NULL, // ggml_backend_vk_get_tensor_async, + /* .cpy_tensor_async = */ NULL, // ggml_backend_vk_cpy_tensor_async, + /* .synchronize = */ NULL, // ggml_backend_vk_synchronize, /* .graph_plan_create = */ NULL, /* .graph_plan_free = */ NULL, /* .graph_plan_compute = */ NULL, From 48ad459efcffaeac20444ea1aa169d52c15641ba Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sat, 27 Jan 2024 21:36:48 +0100 Subject: [PATCH 140/142] Simplify context use, optimize matmul shader for warp size 64 (AMD GCN), fix split_k matmul shader optimization --- ggml-vulkan-shaders.hpp | 30417 +++++++++++++++++----------------- ggml-vulkan.cpp | 610 +- ggml_vk_generate_shaders.py | 27 +- 3 files changed, 15506 insertions(+), 15548 deletions(-) diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp index 66b571a08f347..321e3638390bc 100644 --- a/ggml-vulkan-shaders.hpp +++ b/ggml-vulkan-shaders.hpp @@ -20334,50 +20334,50 @@ const uint64_t get_rows_q8_0_fp32_len = 2296; unsigned char matmul_f16_aligned_l_data[] = 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0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -20440,12 +20441,12 @@ unsigned char matmul_f16_aligned_l_data[] = { 0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00, -0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0a,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00, -0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x37,0x00,0x00,0x00, 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, @@ -20453,7 +20454,7 @@ unsigned char matmul_f16_aligned_l_data[] = { 0x0a,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, -0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -20479,10 +20480,10 @@ unsigned char matmul_f16_aligned_l_data[] = { 0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x7c,0x00,0x00,0x00, 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x98,0x00,0x00,0x00, -0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xae,0x00,0x00,0x00, @@ -20621,18 +20622,18 @@ unsigned char matmul_f16_aligned_l_data[] = { 0x06,0x00,0x00,0x00,0x4f,0x02,0x00,0x00,0x80,0x00,0x00,0x00, 0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7e,0x02,0x00,0x00,0x84,0x00,0x00,0x00, -0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x1d,0x00,0x03,0x00, -0xf9,0x02,0x00,0x00,0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00, -0xfa,0x02,0x00,0x00,0xf9,0x02,0x00,0x00,0x20,0x00,0x04,0x00, 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-0x19,0x03,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, -0x62,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x22,0x03,0x00,0x00, +0x16,0x03,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, +0x62,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1f,0x03,0x00,0x00, 0x0c,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0x36,0x00,0x05,0x00, 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00, @@ -20746,47 +20747,47 @@ unsigned char matmul_f16_aligned_l_data[] = { 0xa6,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xa8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xa8,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, -0x2c,0x03,0x00,0x00,0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00, +0x29,0x03,0x00,0x00,0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00, 0xc7,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xb0,0x00,0x05,0x00, -0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x2c,0x03,0x00,0x00, +0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x29,0x03,0x00,0x00, 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+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_f16_aligned_l_len = 11944; +const uint64_t matmul_f16_aligned_l_len = 11936; unsigned char matmul_f16_aligned_l_fp32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xf6,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0xf3,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00, 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c, 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00, 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, +0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 0x12,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x4c,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x4b,0x01,0x00,0x00, -0x58,0x01,0x00,0x00,0x94,0x02,0x00,0x00,0x10,0x00,0x06,0x00, 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+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00, +0x4f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x47,0x00,0x04,0x00,0x53,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x60,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00, @@ -21405,25 +21404,26 @@ unsigned char matmul_f16_aligned_l_fp32_data[] = { 0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x58,0x01,0x00,0x00, 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0x58,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0x91,0x02,0x00,0x00,0x06,0x00,0x00,0x00, -0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x92,0x02,0x00,0x00, -0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00, -0x92,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00, -0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x92,0x02,0x00,0x00, -0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x94,0x02,0x00,0x00, -0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 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+0x48,0x00,0x05,0x00,0x9a,0x02,0x00,0x00,0x00,0x00,0x00,0x00, +0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00, +0x9a,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00, +0x9c,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x9c,0x02,0x00,0x00,0x21,0x00,0x00,0x00, +0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00, +0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00, +0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00, +0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0x1e,0x00,0x10,0x00,0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -21433,12 +21433,12 @@ unsigned char matmul_f16_aligned_l_fp32_data[] = { 0x11,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x15,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00, 0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00, +0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, @@ -21447,7 +21447,7 @@ unsigned char matmul_f16_aligned_l_fp32_data[] = { 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, 0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -21472,10 +21472,10 @@ unsigned char matmul_f16_aligned_l_fp32_data[] = { 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x7c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x98,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00, +0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -21591,18 +21591,18 @@ unsigned char matmul_f16_aligned_l_fp32_data[] = { 0x80,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x18,0x02,0x00,0x00, 0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00, -0x1d,0x00,0x03,0x00,0x91,0x02,0x00,0x00,0xba,0x00,0x00,0x00, -0x1e,0x00,0x03,0x00,0x92,0x02,0x00,0x00,0x91,0x02,0x00,0x00, -0x20,0x00,0x04,0x00,0x93,0x02,0x00,0x00,0x0c,0x00,0x00,0x00, -0x92,0x02,0x00,0x00,0x3b,0x00,0x04,0x00,0x93,0x02,0x00,0x00, -0x94,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x95,0x02,0x00,0x00,0x07,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x9a,0x02,0x00,0x00, -0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0xa4,0x02,0x00,0x00,0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00, -0x06,0x00,0x00,0x00,0xb1,0x02,0x00,0x00,0x84,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x4b,0x02,0x00,0x00, +0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, +0x53,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00, +0x99,0x02,0x00,0x00,0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00, +0x9a,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0x20,0x00,0x04,0x00, +0x9b,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x9a,0x02,0x00,0x00, +0x3b,0x00,0x04,0x00,0x9b,0x02,0x00,0x00,0x9c,0x02,0x00,0x00, +0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0xa1,0x02,0x00,0x00,0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x06,0x00,0x00,0x00,0xae,0x02,0x00,0x00,0x84,0x00,0x00,0x00, 0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x20,0x00,0x04,0x00, -0xba,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0xba,0x00,0x00,0x00, +0xb7,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0xba,0x00,0x00,0x00, 0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0x05,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xbf,0x00,0x00,0x00, @@ -21715,47 +21715,47 @@ unsigned char matmul_f16_aligned_l_fp32_data[] = { 0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xa5,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa8,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xa8,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, -0x06,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, 0x05,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0xa9,0x00,0x00,0x00, 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-0xf9,0x02,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00, -0x48,0x00,0x04,0x00,0xfa,0x02,0x00,0x00,0x00,0x00,0x00,0x00, -0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xfa,0x02,0x00,0x00, -0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00, -0x47,0x00,0x03,0x00,0xfa,0x02,0x00,0x00,0x02,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0xfc,0x02,0x00,0x00,0x22,0x00,0x00,0x00, -0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xfc,0x02,0x00,0x00, -0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00, -0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00, -0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00, -0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00, -0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00, -0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00, -0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x06,0x00,0x00,0x00,0x1e,0x00,0x11,0x00,0x10,0x00,0x00,0x00, -0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0xbb,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x01,0x03,0x00,0x00,0x06,0x00,0x00,0x00, +0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x02,0x03,0x00,0x00, +0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00, +0x02,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x02,0x03,0x00,0x00, +0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x04,0x03,0x00,0x00, +0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00, +0x04,0x03,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00, +0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00, +0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00, +0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00, +0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, +0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x10,0x00, +0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -22321,12 +22321,12 @@ unsigned char matmul_f16_aligned_m_data[] = { 0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00, -0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0a,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00, -0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x37,0x00,0x00,0x00, 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, @@ -22334,7 +22334,7 @@ unsigned char matmul_f16_aligned_m_data[] = { 0x0a,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, -0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -22360,10 +22360,10 @@ unsigned char matmul_f16_aligned_m_data[] = { 0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x7c,0x00,0x00,0x00, 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x98,0x00,0x00,0x00, -0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xae,0x00,0x00,0x00, @@ -22502,18 +22502,18 @@ unsigned char matmul_f16_aligned_m_data[] = { 0x06,0x00,0x00,0x00,0x4f,0x02,0x00,0x00,0x80,0x00,0x00,0x00, 0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7e,0x02,0x00,0x00,0x84,0x00,0x00,0x00, -0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x1d,0x00,0x03,0x00, -0xf9,0x02,0x00,0x00,0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00, -0xfa,0x02,0x00,0x00,0xf9,0x02,0x00,0x00,0x20,0x00,0x04,0x00, -0xfb,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0xfa,0x02,0x00,0x00, -0x3b,0x00,0x04,0x00,0xfb,0x02,0x00,0x00,0xfc,0x02,0x00,0x00, -0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0xfd,0x02,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x02,0x03,0x00,0x00,0x0e,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x0c,0x03,0x00,0x00, +0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,0x0d,0x00,0x00,0x00, +0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0xbb,0x02,0x00,0x00, +0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x01,0x03,0x00,0x00, +0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x02,0x03,0x00,0x00, +0x01,0x03,0x00,0x00,0x20,0x00,0x04,0x00,0x03,0x03,0x00,0x00, +0x0c,0x00,0x00,0x00,0x02,0x03,0x00,0x00,0x3b,0x00,0x04,0x00, +0x03,0x03,0x00,0x00,0x04,0x03,0x00,0x00,0x0c,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x09,0x03,0x00,0x00, 0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, -0x19,0x03,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, -0x62,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x22,0x03,0x00,0x00, +0x16,0x03,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, +0x62,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1f,0x03,0x00,0x00, 0x0c,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0x36,0x00,0x05,0x00, 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00, @@ -22627,47 +22627,47 @@ unsigned char matmul_f16_aligned_m_data[] = { 0xa6,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xa8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xa8,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, -0x2c,0x03,0x00,0x00,0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00, +0x29,0x03,0x00,0x00,0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00, 0xc7,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xb0,0x00,0x05,0x00, -0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x2c,0x03,0x00,0x00, +0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x29,0x03,0x00,0x00, 0xb7,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xaa,0x00,0x00,0x00, 0xa9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00, 0xb9,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xaa,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xa9,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0xc3,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0xc0,0x00,0x00,0x00, -0x2c,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0xc4,0x00,0x00,0x00, +0x29,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0xc4,0x00,0x00,0x00, 0xc2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 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+0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00, +0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0x1e,0x00,0x10,0x00,0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -23314,12 +23313,12 @@ unsigned char matmul_f16_aligned_m_fp32_data[] = { 0x11,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x15,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00, 0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00, +0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, @@ -23328,7 +23327,7 @@ unsigned char matmul_f16_aligned_m_fp32_data[] = { 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, 0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -23353,10 +23352,10 @@ unsigned char matmul_f16_aligned_m_fp32_data[] = { 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x7c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x98,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00, +0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -23472,18 +23471,18 @@ unsigned char matmul_f16_aligned_m_fp32_data[] = { 0x80,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x18,0x02,0x00,0x00, 0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00, -0x1d,0x00,0x03,0x00,0x91,0x02,0x00,0x00,0xba,0x00,0x00,0x00, -0x1e,0x00,0x03,0x00,0x92,0x02,0x00,0x00,0x91,0x02,0x00,0x00, -0x20,0x00,0x04,0x00,0x93,0x02,0x00,0x00,0x0c,0x00,0x00,0x00, -0x92,0x02,0x00,0x00,0x3b,0x00,0x04,0x00,0x93,0x02,0x00,0x00, -0x94,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x95,0x02,0x00,0x00,0x07,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x9a,0x02,0x00,0x00, -0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0xa4,0x02,0x00,0x00,0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 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0x05,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xbf,0x00,0x00,0x00, @@ -23596,47 +23595,47 @@ unsigned char matmul_f16_aligned_m_fp32_data[] = { 0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xa5,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa8,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xa8,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, -0x06,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, 0x05,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0xa9,0x00,0x00,0x00, 0xb0,0x00,0x05,0x00,0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, -0xc4,0x02,0x00,0x00,0xb7,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, +0xc1,0x02,0x00,0x00,0xb7,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, 0xaa,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0xfa,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,0xa9,0x00,0x00,0x00, 0xaa,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa9,0x00,0x00,0x00, 0x41,0x00,0x05,0x00,0xc3,0x00,0x00,0x00,0xc4,0x00,0x00,0x00, -0xc0,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0x3e,0x00,0x03,0x00, 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0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -24202,12 +24201,12 @@ unsigned char matmul_f16_aligned_s_data[] = { 0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00, -0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0a,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00, -0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x37,0x00,0x00,0x00, 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, @@ -24215,7 +24214,7 @@ unsigned char matmul_f16_aligned_s_data[] = { 0x0a,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, -0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -24241,10 +24240,10 @@ unsigned char matmul_f16_aligned_s_data[] = { 0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x7c,0x00,0x00,0x00, 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x98,0x00,0x00,0x00, -0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xae,0x00,0x00,0x00, @@ -24383,18 +24382,18 @@ unsigned char matmul_f16_aligned_s_data[] = { 0x06,0x00,0x00,0x00,0x4f,0x02,0x00,0x00,0x80,0x00,0x00,0x00, 0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x7e,0x02,0x00,0x00,0x84,0x00,0x00,0x00, -0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x1d,0x00,0x03,0x00, -0xf9,0x02,0x00,0x00,0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00, -0xfa,0x02,0x00,0x00,0xf9,0x02,0x00,0x00,0x20,0x00,0x04,0x00, -0xfb,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0xfa,0x02,0x00,0x00, -0x3b,0x00,0x04,0x00,0xfb,0x02,0x00,0x00,0xfc,0x02,0x00,0x00, -0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0xfd,0x02,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x02,0x03,0x00,0x00,0x0e,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x0c,0x03,0x00,0x00, +0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,0x0d,0x00,0x00,0x00, +0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0xbb,0x02,0x00,0x00, +0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x01,0x03,0x00,0x00, +0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x02,0x03,0x00,0x00, +0x01,0x03,0x00,0x00,0x20,0x00,0x04,0x00,0x03,0x03,0x00,0x00, +0x0c,0x00,0x00,0x00,0x02,0x03,0x00,0x00,0x3b,0x00,0x04,0x00, +0x03,0x03,0x00,0x00,0x04,0x03,0x00,0x00,0x0c,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x09,0x03,0x00,0x00, 0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, -0x19,0x03,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, -0x62,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x22,0x03,0x00,0x00, +0x16,0x03,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, +0x62,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1f,0x03,0x00,0x00, 0x0c,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0x36,0x00,0x05,0x00, 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00, @@ -24508,47 +24507,47 @@ unsigned char matmul_f16_aligned_s_data[] = { 0xa6,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xa8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xa8,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, -0x2c,0x03,0x00,0x00,0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00, +0x29,0x03,0x00,0x00,0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00, 0xc7,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xb0,0x00,0x05,0x00, -0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x2c,0x03,0x00,0x00, +0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x29,0x03,0x00,0x00, 0xb7,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xaa,0x00,0x00,0x00, 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0xd4,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xb8,0x00,0x00,0x00, -0xd9,0x00,0x00,0x00,0x3d,0x03,0x00,0x00,0x37,0x00,0x00,0x00, +0xd9,0x00,0x00,0x00,0x3a,0x03,0x00,0x00,0x37,0x00,0x00,0x00, 0xf6,0x00,0x04,0x00,0xd5,0x00,0x00,0x00,0xd4,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xd9,0x00,0x00,0x00, 0xd4,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xd4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xde,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x3d,0x03,0x00,0x00, +0xde,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x3a,0x03,0x00,0x00, 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe1,0x00,0x00,0x00, 0xde,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0xe1,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xe3,0x00,0x00,0x00,0x41,0x03,0x00,0x00,0xe2,0x00,0x00,0x00, +0xe3,0x00,0x00,0x00,0x3e,0x03,0x00,0x00,0xe2,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe5,0x00,0x00,0x00, 0xe3,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0xde,0x00,0x00,0x00, @@ -24645,23 +24644,23 @@ unsigned char matmul_f16_aligned_s_data[] = { 0x60,0x01,0x00,0x00,0xeb,0x00,0x00,0x00,0x5c,0x01,0x00,0x00, 0x3e,0x00,0x03,0x00,0x60,0x01,0x00,0x00,0x5f,0x01,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00, -0x3d,0x03,0x00,0x00,0x65,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, +0x3a,0x03,0x00,0x00,0x65,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, 0xd3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd5,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0x69,0x01,0x00,0x00,0xf8,0x00,0x02,0x00, 0x69,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, -0x3e,0x03,0x00,0x00,0x3e,0x00,0x00,0x00,0xd5,0x00,0x00,0x00, +0x3b,0x03,0x00,0x00,0x3e,0x00,0x00,0x00,0xd5,0x00,0x00,0x00, 0xee,0x01,0x00,0x00,0x6a,0x01,0x00,0x00,0xb0,0x00,0x05,0x00, -0xb8,0x00,0x00,0x00,0x6f,0x01,0x00,0x00,0x3e,0x03,0x00,0x00, +0xb8,0x00,0x00,0x00,0x6f,0x01,0x00,0x00,0x3b,0x03,0x00,0x00, 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matmul_f16_aligned_s_len = 11944; +const uint64_t matmul_f16_aligned_s_len = 11936; unsigned char matmul_f16_aligned_s_fp32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xf6,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0xf3,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00, 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c, 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00, 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, +0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 0x12,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x4c,0x00,0x00,0x00, 0xea,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x4b,0x01,0x00,0x00, -0x58,0x01,0x00,0x00,0x94,0x02,0x00,0x00,0x10,0x00,0x06,0x00, -0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 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+0x4f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x47,0x00,0x04,0x00,0x53,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x60,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00, @@ -25167,25 +25164,26 @@ unsigned char matmul_f16_aligned_s_fp32_data[] = { 0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x58,0x01,0x00,0x00, 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0x58,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0x91,0x02,0x00,0x00,0x06,0x00,0x00,0x00, -0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x92,0x02,0x00,0x00, -0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00, -0x92,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00, -0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x92,0x02,0x00,0x00, -0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x94,0x02,0x00,0x00, -0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00, -0x94,0x02,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00, 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+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00, +0x9a,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00, +0x9c,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x9c,0x02,0x00,0x00,0x21,0x00,0x00,0x00, +0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00, +0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00, +0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00, +0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0x1e,0x00,0x10,0x00,0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -25195,12 +25193,12 @@ unsigned char matmul_f16_aligned_s_fp32_data[] = { 0x11,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x15,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00, 0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00, +0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, @@ -25209,7 +25207,7 @@ unsigned char matmul_f16_aligned_s_fp32_data[] = { 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, 0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -25234,10 +25232,10 @@ unsigned char matmul_f16_aligned_s_fp32_data[] = { 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x7c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x98,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00, +0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -25353,18 +25351,18 @@ unsigned char matmul_f16_aligned_s_fp32_data[] = { 0x80,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x18,0x02,0x00,0x00, 0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00, -0x1d,0x00,0x03,0x00,0x91,0x02,0x00,0x00,0xba,0x00,0x00,0x00, -0x1e,0x00,0x03,0x00,0x92,0x02,0x00,0x00,0x91,0x02,0x00,0x00, -0x20,0x00,0x04,0x00,0x93,0x02,0x00,0x00,0x0c,0x00,0x00,0x00, -0x92,0x02,0x00,0x00,0x3b,0x00,0x04,0x00,0x93,0x02,0x00,0x00, -0x94,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x95,0x02,0x00,0x00,0x07,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x9a,0x02,0x00,0x00, -0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0xa4,0x02,0x00,0x00,0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00, -0x06,0x00,0x00,0x00,0xb1,0x02,0x00,0x00,0x84,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x4b,0x02,0x00,0x00, +0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, +0x53,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00, +0x99,0x02,0x00,0x00,0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00, +0x9a,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0x20,0x00,0x04,0x00, +0x9b,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x9a,0x02,0x00,0x00, +0x3b,0x00,0x04,0x00,0x9b,0x02,0x00,0x00,0x9c,0x02,0x00,0x00, +0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0xa1,0x02,0x00,0x00,0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x06,0x00,0x00,0x00,0xae,0x02,0x00,0x00,0x84,0x00,0x00,0x00, 0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x20,0x00,0x04,0x00, -0xba,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0xba,0x00,0x00,0x00, +0xb7,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0xba,0x00,0x00,0x00, 0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0x05,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xbf,0x00,0x00,0x00, @@ -25477,47 +25475,47 @@ unsigned char matmul_f16_aligned_s_fp32_data[] = { 0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xa5,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa8,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xa8,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, -0x06,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, 0x05,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0xa9,0x00,0x00,0x00, 0xb0,0x00,0x05,0x00,0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, 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-0xd5,0x02,0x00,0x00,0x3e,0x00,0x00,0x00,0xcb,0x00,0x00,0x00, +0xd2,0x02,0x00,0x00,0x3e,0x00,0x00,0x00,0xcb,0x00,0x00,0x00, 0x32,0x01,0x00,0x00,0xd4,0x00,0x00,0x00,0xb0,0x00,0x05,0x00, -0xb8,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0xd5,0x02,0x00,0x00, +0xb8,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0xd2,0x02,0x00,0x00, 0x37,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xd5,0x00,0x00,0x00, 0xd4,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00, 0xd9,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0xd5,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xd4,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0x74,0x00,0x00,0x00, -0xd5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0xd2,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xe1,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0x8f,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe2,0x00,0x00,0x00, 0xe1,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x80,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0xd9,0x02,0x00,0x00, +0x06,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0xd6,0x02,0x00,0x00, 0xe2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xe5,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x6f,0x00,0x00,0x00, 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xef,0x00,0x00,0x00, @@ -25571,24 +25569,24 @@ unsigned char matmul_f16_aligned_s_fp32_data[] = { 0x41,0x00,0x05,0x00,0xff,0x00,0x00,0x00,0x2b,0x01,0x00,0x00, 0xea,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, 0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,0x80,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0x32,0x01,0x00,0x00,0xd5,0x02,0x00,0x00, +0x06,0x00,0x00,0x00,0x32,0x01,0x00,0x00,0xd2,0x02,0x00,0x00, 0x30,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xd3,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xd5,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0x34,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x34,0x01,0x00,0x00, -0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00, +0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00, 0x3e,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x89,0x01,0x00,0x00, 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+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, +0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x10,0x00, +0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -26083,12 +26081,12 @@ unsigned char matmul_f16_f32_aligned_l_data[] = { 0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00, -0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0a,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00, -0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x37,0x00,0x00,0x00, 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, @@ -26096,7 +26094,7 @@ unsigned char matmul_f16_f32_aligned_l_data[] = { 0x0a,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, -0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -26122,10 +26120,10 @@ unsigned char matmul_f16_f32_aligned_l_data[] = { 0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x7c,0x00,0x00,0x00, 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x98,0x00,0x00,0x00, -0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xae,0x00,0x00,0x00, @@ -26268,17 +26266,17 @@ unsigned char matmul_f16_f32_aligned_l_data[] = { 0x06,0x00,0x00,0x00,0x5a,0x02,0x00,0x00,0x80,0x00,0x00,0x00, 0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x89,0x02,0x00,0x00,0x84,0x00,0x00,0x00, -0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x1d,0x00,0x03,0x00, -0x04,0x03,0x00,0x00,0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00, -0x05,0x03,0x00,0x00,0x04,0x03,0x00,0x00,0x20,0x00,0x04,0x00, -0x06,0x03,0x00,0x00,0x0c,0x00,0x00,0x00,0x05,0x03,0x00,0x00, -0x3b,0x00,0x04,0x00,0x06,0x03,0x00,0x00,0x07,0x03,0x00,0x00, -0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x08,0x03,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x0e,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x17,0x03,0x00,0x00, +0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0x0d,0x00,0x00,0x00, +0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0xc6,0x02,0x00,0x00, +0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x0c,0x03,0x00,0x00, +0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x0d,0x03,0x00,0x00, +0x0c,0x03,0x00,0x00,0x20,0x00,0x04,0x00,0x0e,0x03,0x00,0x00, +0x0c,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x3b,0x00,0x04,0x00, +0x0e,0x03,0x00,0x00,0x0f,0x03,0x00,0x00,0x0c,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x03,0x00,0x00, 0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, -0x24,0x03,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, +0x21,0x03,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, 0x62,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, @@ -26391,48 +26389,48 @@ unsigned char matmul_f16_f32_aligned_l_data[] = { 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00, 0xa5,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xa8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa8,0x00,0x00,0x00, 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+0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00, +0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00, +0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0x1e,0x00,0x10,0x00,0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -27089,12 +27087,12 @@ unsigned char matmul_f16_f32_aligned_l_fp32_data[] = { 0x11,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x15,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00, 0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00, +0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, @@ -27103,7 +27101,7 @@ unsigned char matmul_f16_f32_aligned_l_fp32_data[] = { 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, 0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -27128,10 +27126,10 @@ unsigned char matmul_f16_f32_aligned_l_fp32_data[] = { 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x7c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x98,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00, +0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -27249,17 +27247,17 @@ unsigned char matmul_f16_f32_aligned_l_fp32_data[] = { 0x06,0x00,0x00,0x00,0xe7,0x01,0x00,0x00,0x80,0x00,0x00,0x00, 0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x16,0x02,0x00,0x00,0x84,0x00,0x00,0x00, -0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x1d,0x00,0x03,0x00, -0x8f,0x02,0x00,0x00,0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00, -0x90,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,0x20,0x00,0x04,0x00, -0x91,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x90,0x02,0x00,0x00, -0x3b,0x00,0x04,0x00,0x91,0x02,0x00,0x00,0x92,0x02,0x00,0x00, -0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x93,0x02,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x98,0x02,0x00,0x00,0x0e,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0xa2,0x02,0x00,0x00, +0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x49,0x02,0x00,0x00,0x0d,0x00,0x00,0x00, +0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x51,0x02,0x00,0x00, +0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x97,0x02,0x00,0x00, +0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x98,0x02,0x00,0x00, +0x97,0x02,0x00,0x00,0x20,0x00,0x04,0x00,0x99,0x02,0x00,0x00, +0x0c,0x00,0x00,0x00,0x98,0x02,0x00,0x00,0x3b,0x00,0x04,0x00, +0x99,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,0x0c,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x9f,0x02,0x00,0x00, 0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, -0xaf,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, +0xac,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, 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+27465,23 @@ unsigned char matmul_f16_f32_aligned_l_fp32_data[] = { 0x2b,0x01,0x00,0x00,0xea,0x00,0x00,0x00,0x26,0x01,0x00,0x00, 0x3e,0x00,0x03,0x00,0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x32,0x01,0x00,0x00, -0xd2,0x02,0x00,0x00,0x30,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, +0xcf,0x02,0x00,0x00,0x30,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, 0xd3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd5,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0x34,0x01,0x00,0x00,0xf8,0x00,0x02,0x00, 0x34,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, -0xd3,0x02,0x00,0x00,0x3e,0x00,0x00,0x00,0xd5,0x00,0x00,0x00, +0xd0,0x02,0x00,0x00,0x3e,0x00,0x00,0x00,0xd5,0x00,0x00,0x00, 0x87,0x01,0x00,0x00,0x35,0x01,0x00,0x00,0xb0,0x00,0x05,0x00, -0xb8,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0xd3,0x02,0x00,0x00, +0xb8,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0xd0,0x02,0x00,0x00, 0x9d,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x36,0x01,0x00,0x00, 0x35,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00, 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-const uint64_t matmul_f16_f32_aligned_l_fp32_len = 10472; +const uint64_t matmul_f16_f32_aligned_l_fp32_len = 10464; unsigned char matmul_f16_f32_aligned_m_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0x68,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x65,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00, 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64, 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, -0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00, +0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00, 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, 0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x12,0x00,0x00,0x00, 0x3d,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0xeb,0x00,0x00,0x00, 0xfa,0x00,0x00,0x00,0x80,0x01,0x00,0x00,0x8f,0x01,0x00,0x00, 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+0x3d,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x4c,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4f,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0x53,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x47,0x00,0x04,0x00,0x60,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x62,0x00,0x00,0x00, @@ -27945,25 +27942,26 @@ unsigned char matmul_f16_f32_aligned_m_data[] = { 0x47,0x00,0x04,0x00,0x8f,0x01,0x00,0x00,0x22,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8f,0x01,0x00,0x00, 0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00, -0x04,0x03,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00, -0x48,0x00,0x04,0x00,0x05,0x03,0x00,0x00,0x00,0x00,0x00,0x00, -0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x05,0x03,0x00,0x00, -0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00, -0x47,0x00,0x03,0x00,0x05,0x03,0x00,0x00,0x02,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0x07,0x03,0x00,0x00,0x22,0x00,0x00,0x00, -0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x07,0x03,0x00,0x00, -0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00, -0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00, -0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00, -0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00, -0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00, -0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00, -0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x06,0x00,0x00,0x00,0x1e,0x00,0x11,0x00,0x10,0x00,0x00,0x00, -0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0xc6,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x0c,0x03,0x00,0x00,0x06,0x00,0x00,0x00, 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+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x10,0x00, +0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -27973,12 +27971,12 @@ unsigned char matmul_f16_f32_aligned_m_data[] = { 0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00, -0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0a,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00, -0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x37,0x00,0x00,0x00, 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, @@ -27986,7 +27984,7 @@ unsigned char matmul_f16_f32_aligned_m_data[] = { 0x0a,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, -0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -28012,10 +28010,10 @@ unsigned char matmul_f16_f32_aligned_m_data[] = { 0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x7c,0x00,0x00,0x00, 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x98,0x00,0x00,0x00, -0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xae,0x00,0x00,0x00, @@ -28158,17 +28156,17 @@ unsigned char matmul_f16_f32_aligned_m_data[] = { 0x06,0x00,0x00,0x00,0x5a,0x02,0x00,0x00,0x80,0x00,0x00,0x00, 0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x89,0x02,0x00,0x00,0x84,0x00,0x00,0x00, -0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x1d,0x00,0x03,0x00, -0x04,0x03,0x00,0x00,0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00, -0x05,0x03,0x00,0x00,0x04,0x03,0x00,0x00,0x20,0x00,0x04,0x00, -0x06,0x03,0x00,0x00,0x0c,0x00,0x00,0x00,0x05,0x03,0x00,0x00, -0x3b,0x00,0x04,0x00,0x06,0x03,0x00,0x00,0x07,0x03,0x00,0x00, -0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x08,0x03,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x0e,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x17,0x03,0x00,0x00, +0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0x0d,0x00,0x00,0x00, +0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0xc6,0x02,0x00,0x00, +0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x0c,0x03,0x00,0x00, +0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x0d,0x03,0x00,0x00, +0x0c,0x03,0x00,0x00,0x20,0x00,0x04,0x00,0x0e,0x03,0x00,0x00, +0x0c,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x3b,0x00,0x04,0x00, +0x0e,0x03,0x00,0x00,0x0f,0x03,0x00,0x00,0x0c,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x03,0x00,0x00, 0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, -0x24,0x03,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, +0x21,0x03,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, 0x62,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, @@ -28281,48 +28279,48 @@ unsigned char matmul_f16_f32_aligned_m_data[] = { 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00, 0xa5,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xa8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa8,0x00,0x00,0x00, -0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x36,0x03,0x00,0x00, +0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x33,0x03,0x00,0x00, 0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xc7,0x00,0x00,0x00, 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+28712,30 @@ unsigned char matmul_f16_f32_aligned_m_data[] = { 0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x96,0x02,0x00,0x00, 0x9d,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,0x3e,0x00,0x03,0x00, 0x9f,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0x80,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0x5f,0x03,0x00,0x00, +0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0x5c,0x03,0x00,0x00, 0xc6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x7e,0x02,0x00,0x00, 0xf8,0x00,0x02,0x00,0x80,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, 0x79,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x79,0x02,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00, -0x5d,0x03,0x00,0x00,0xc6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x5a,0x03,0x00,0x00,0xc6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0x76,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x78,0x02,0x00,0x00, 0xf9,0x00,0x02,0x00,0x71,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, 0x71,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xa8,0x02,0x00,0x00,0x5b,0x03,0x00,0x00,0xc6,0x00,0x00,0x00, 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-0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00, 0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00, +0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, @@ -28993,7 +28991,7 @@ unsigned char matmul_f16_f32_aligned_m_fp32_data[] = { 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, 0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -29018,10 +29016,10 @@ unsigned char matmul_f16_f32_aligned_m_fp32_data[] = { 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x7c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x98,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00, +0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -29139,17 +29137,17 @@ unsigned char matmul_f16_f32_aligned_m_fp32_data[] = { 0x06,0x00,0x00,0x00,0xe7,0x01,0x00,0x00,0x80,0x00,0x00,0x00, 0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x16,0x02,0x00,0x00,0x84,0x00,0x00,0x00, -0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x1d,0x00,0x03,0x00, -0x8f,0x02,0x00,0x00,0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00, -0x90,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,0x20,0x00,0x04,0x00, -0x91,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x90,0x02,0x00,0x00, -0x3b,0x00,0x04,0x00,0x91,0x02,0x00,0x00,0x92,0x02,0x00,0x00, -0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x93,0x02,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 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0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, @@ -29262,48 +29260,48 @@ unsigned char matmul_f16_f32_aligned_m_fp32_data[] = { 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00, 0xa5,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xa8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa8,0x00,0x00,0x00, -0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xc1,0x02,0x00,0x00, +0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00, 0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xc7,0x00,0x00,0x00, 0xa9,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xb8,0x00,0x00,0x00, -0xb9,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,0xb7,0x00,0x00,0x00, +0xb9,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0xb7,0x00,0x00,0x00, 0xf6,0x00,0x04,0x00,0xaa,0x00,0x00,0x00,0xa9,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xb9,0x00,0x00,0x00, 0xa9,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xa9,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xc3,0x00,0x00,0x00, -0xc4,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0xc1,0x02,0x00,0x00, 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0xfa,0x00,0x04,0x00,0xd9,0x00,0x00,0x00,0xd4,0x00,0x00,0x00, 0xd5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd4,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xde,0x00,0x00,0x00, -0x74,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,0x84,0x00,0x05,0x00, +0x74,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0xde,0x00,0x00,0x00, 0x8f,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xe2,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe3,0x00,0x00,0x00, -0xd6,0x02,0x00,0x00,0xe2,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0xd3,0x02,0x00,0x00,0xe2,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0xe3,0x00,0x00,0x00, 0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xef,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0xee,0x00,0x00,0x00, @@ -29357,23 +29355,23 @@ unsigned char matmul_f16_f32_aligned_m_fp32_data[] = { 0x2b,0x01,0x00,0x00,0xea,0x00,0x00,0x00,0x26,0x01,0x00,0x00, 0x3e,0x00,0x03,0x00,0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x32,0x01,0x00,0x00, -0xd2,0x02,0x00,0x00,0x30,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, +0xcf,0x02,0x00,0x00,0x30,0x01,0x00,0x00,0xf9,0x00,0x02,0x00, 0xd3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd5,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0x34,0x01,0x00,0x00,0xf8,0x00,0x02,0x00, 0x34,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, -0xd3,0x02,0x00,0x00,0x3e,0x00,0x00,0x00,0xd5,0x00,0x00,0x00, +0xd0,0x02,0x00,0x00,0x3e,0x00,0x00,0x00,0xd5,0x00,0x00,0x00, 0x87,0x01,0x00,0x00,0x35,0x01,0x00,0x00,0xb0,0x00,0x05,0x00, -0xb8,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0xd3,0x02,0x00,0x00, +0xb8,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0xd0,0x02,0x00,0x00, 0x9d,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x36,0x01,0x00,0x00, 0x35,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00, 0x3a,0x01,0x00,0x00,0x35,0x01,0x00,0x00,0x36,0x01,0x00,0x00, 0xf8,0x00,0x02,0x00,0x35,0x01,0x00,0x00,0x80,0x00,0x05,0x00, 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+0x47,0x00,0x04,0x00,0x4c,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4f,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0x53,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x47,0x00,0x04,0x00,0x60,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x62,0x00,0x00,0x00, @@ -29835,25 +29832,26 @@ unsigned char matmul_f16_f32_aligned_s_data[] = { 0x47,0x00,0x04,0x00,0x8f,0x01,0x00,0x00,0x22,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8f,0x01,0x00,0x00, 0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00, -0x04,0x03,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00, -0x48,0x00,0x04,0x00,0x05,0x03,0x00,0x00,0x00,0x00,0x00,0x00, -0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x05,0x03,0x00,0x00, -0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00, -0x47,0x00,0x03,0x00,0x05,0x03,0x00,0x00,0x02,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0x07,0x03,0x00,0x00,0x22,0x00,0x00,0x00, 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+0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -29863,12 +29861,12 @@ unsigned char matmul_f16_f32_aligned_s_data[] = { 0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00, -0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0a,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00, -0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x37,0x00,0x00,0x00, 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, @@ -29876,7 +29874,7 @@ unsigned char matmul_f16_f32_aligned_s_data[] = { 0x0a,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, -0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -29902,10 +29900,10 @@ unsigned char matmul_f16_f32_aligned_s_data[] = { 0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x7c,0x00,0x00,0x00, 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x98,0x00,0x00,0x00, -0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xae,0x00,0x00,0x00, @@ -30048,17 +30046,17 @@ unsigned char matmul_f16_f32_aligned_s_data[] = { 0x06,0x00,0x00,0x00,0x5a,0x02,0x00,0x00,0x80,0x00,0x00,0x00, 0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x89,0x02,0x00,0x00,0x84,0x00,0x00,0x00, -0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x1d,0x00,0x03,0x00, -0x04,0x03,0x00,0x00,0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00, -0x05,0x03,0x00,0x00,0x04,0x03,0x00,0x00,0x20,0x00,0x04,0x00, -0x06,0x03,0x00,0x00,0x0c,0x00,0x00,0x00,0x05,0x03,0x00,0x00, -0x3b,0x00,0x04,0x00,0x06,0x03,0x00,0x00,0x07,0x03,0x00,0x00, -0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x08,0x03,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x0e,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x17,0x03,0x00,0x00, +0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0x0d,0x00,0x00,0x00, +0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0xc6,0x02,0x00,0x00, +0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x0c,0x03,0x00,0x00, +0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x0d,0x03,0x00,0x00, +0x0c,0x03,0x00,0x00,0x20,0x00,0x04,0x00,0x0e,0x03,0x00,0x00, +0x0c,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x3b,0x00,0x04,0x00, +0x0e,0x03,0x00,0x00,0x0f,0x03,0x00,0x00,0x0c,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x03,0x00,0x00, 0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, -0x24,0x03,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, +0x21,0x03,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, 0x62,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, @@ -30171,48 +30169,48 @@ unsigned char matmul_f16_f32_aligned_s_data[] = { 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00, 0xa5,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xa8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa8,0x00,0x00,0x00, -0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x36,0x03,0x00,0x00, +0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x33,0x03,0x00,0x00, 0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xc7,0x00,0x00,0x00, 0xa9,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xb8,0x00,0x00,0x00, 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-0x06,0x00,0x00,0x00,0x47,0x03,0x00,0x00,0x3e,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0x44,0x03,0x00,0x00,0x3e,0x00,0x00,0x00, 0xcb,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0xd4,0x00,0x00,0x00, 0xb0,0x00,0x05,0x00,0xb8,0x00,0x00,0x00,0xd9,0x00,0x00,0x00, -0x47,0x03,0x00,0x00,0x37,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, +0x44,0x03,0x00,0x00,0x37,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, 0xd5,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0xfa,0x00,0x04,0x00,0xd9,0x00,0x00,0x00,0xd4,0x00,0x00,0x00, 0xd5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd4,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xde,0x00,0x00,0x00, -0x74,0x00,0x00,0x00,0x47,0x03,0x00,0x00,0x84,0x00,0x05,0x00, +0x74,0x00,0x00,0x00,0x44,0x03,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0xde,0x00,0x00,0x00, 0x8f,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xe2,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe3,0x00,0x00,0x00, -0x4b,0x03,0x00,0x00,0xe2,0x00,0x00,0x00,0x80,0x00,0x05,0x00, +0x48,0x03,0x00,0x00,0xe2,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0xe3,0x00,0x00,0x00, 0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xf0,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0xef,0x00,0x00,0x00, @@ -30308,24 +30306,24 @@ unsigned char matmul_f16_f32_aligned_s_data[] = { 0x41,0x00,0x05,0x00,0xff,0x00,0x00,0x00,0x60,0x01,0x00,0x00, 0xeb,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, 0x60,0x01,0x00,0x00,0x5f,0x01,0x00,0x00,0x80,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x47,0x03,0x00,0x00, +0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x44,0x03,0x00,0x00, 0x65,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xd3,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xd5,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0x69,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x69,0x01,0x00,0x00, -0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x48,0x03,0x00,0x00, +0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x45,0x03,0x00,0x00, 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0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x96,0x02,0x00,0x00, 0x9d,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,0x3e,0x00,0x03,0x00, 0x9f,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0x80,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0x5f,0x03,0x00,0x00, +0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0x5c,0x03,0x00,0x00, 0xc6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x7e,0x02,0x00,0x00, 0xf8,0x00,0x02,0x00,0x80,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, 0x79,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x79,0x02,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00, -0x5d,0x03,0x00,0x00,0xc6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x5a,0x03,0x00,0x00,0xc6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0x76,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x78,0x02,0x00,0x00, 0xf9,0x00,0x02,0x00,0x71,0x02,0x00,0x00,0xf8,0x00,0x02,0x00, 0x71,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xa8,0x02,0x00,0x00,0x5b,0x03,0x00,0x00,0xc6,0x00,0x00,0x00, +0xa8,0x02,0x00,0x00,0x58,0x03,0x00,0x00,0xc6,0x00,0x00,0x00, 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matmul_f16_f32_aligned_s_fp32_data[] = { 0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x59,0x01,0x00,0x00, 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0x59,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0x8f,0x02,0x00,0x00,0x06,0x00,0x00,0x00, -0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x90,0x02,0x00,0x00, -0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00, -0x90,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00, -0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x90,0x02,0x00,0x00, -0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x92,0x02,0x00,0x00, -0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00, -0x92,0x02,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00, -0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00, -0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00, -0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00, -0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 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0x11,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x15,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00, 0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00, +0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, @@ -30883,7 +30881,7 @@ unsigned char matmul_f16_f32_aligned_s_fp32_data[] = { 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, 0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -30908,10 +30906,10 @@ unsigned char matmul_f16_f32_aligned_s_fp32_data[] = { 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x7c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x98,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00, +0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -31029,17 +31027,17 @@ unsigned char matmul_f16_f32_aligned_s_fp32_data[] = { 0x06,0x00,0x00,0x00,0xe7,0x01,0x00,0x00,0x80,0x00,0x00,0x00, 0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x16,0x02,0x00,0x00,0x84,0x00,0x00,0x00, -0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x1d,0x00,0x03,0x00, -0x8f,0x02,0x00,0x00,0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00, -0x90,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,0x20,0x00,0x04,0x00, -0x91,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x90,0x02,0x00,0x00, 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+0x59,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, + }; -const uint64_t matmul_f16_f32_aligned_s_fp32_len = 10472; +const uint64_t matmul_f16_f32_aligned_s_fp32_len = 10464; unsigned char matmul_f16_f32_l_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xd2,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0xcd,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00, 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64, 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, -0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00, +0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00, 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, 0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x12,0x00,0x00,0x00, -0x3d,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0xf2,0x00,0x00,0x00, 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+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, +0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x10,0x00, +0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -31747,12 +31745,12 @@ unsigned char matmul_f16_f32_l_data[] = { 0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00, -0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0a,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00, -0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x37,0x00,0x00,0x00, 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, @@ -31760,7 +31758,7 @@ unsigned char matmul_f16_f32_l_data[] = { 0x0a,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, -0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -31785,9 +31783,9 @@ unsigned char matmul_f16_f32_l_data[] = { 0x76,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x02,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x8c,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x0d,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9c,0x00,0x00,0x00, 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x9e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00, @@ -31824,96 +31822,96 @@ unsigned char matmul_f16_f32_l_data[] = { 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+0x37,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x37,0x02,0x00,0x00, +0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9a,0x02,0x00,0x00, +0x9d,0x02,0x00,0x00,0xc5,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0x34,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x36,0x02,0x00,0x00, +0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, }; -const uint64_t matmul_f16_f32_l_len = 10180; +const uint64_t matmul_f16_f32_l_len = 10172; unsigned char matmul_f16_f32_l_fp32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xce,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0xc9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00, 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c, 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00, 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, +0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 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0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -32637,10 +32634,10 @@ unsigned char matmul_f16_f32_l_fp32_data[] = { 0x13,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x7b,0x00,0x00,0x00, 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x86,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x97,0x00,0x00,0x00, -0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x9c,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xad,0x00,0x00,0x00, @@ -32676,93 +32673,93 @@ unsigned char matmul_f16_f32_l_fp32_data[] = { 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc2,0x00,0x00,0x00, 0x07,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xed,0x00,0x00,0x00, +0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00, 0x80,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00, -0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00, -0x84,0x00,0x00,0x00,0x37,0x00,0x00,0x00,0xed,0x00,0x00,0x00, -0x1c,0x00,0x04,0x00,0xef,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, -0xee,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xf0,0x00,0x00,0x00, -0x04,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, -0xf0,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x04,0x00,0x00,0x00, -0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00, +0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xed,0x00,0x00,0x00, +0x84,0x00,0x00,0x00,0x37,0x00,0x00,0x00,0xec,0x00,0x00,0x00, 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uint64_t matmul_f16_f32_l_fp32_len = 10100; unsigned char matmul_f16_f32_m_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xd2,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0xcd,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00, 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64, 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, -0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00, +0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00, 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, 0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x12,0x00,0x00,0x00, -0x3d,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0xf2,0x00,0x00,0x00, -0xfd,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,0x49,0x01,0x00,0x00, -0x71,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00, 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0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xad,0x00,0x00,0x00, @@ -34376,93 +34371,93 @@ unsigned char matmul_f16_f32_m_fp32_data[] = { 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc2,0x00,0x00,0x00, 0x07,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xed,0x00,0x00,0x00, +0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00, 0x80,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00, -0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00, -0x84,0x00,0x00,0x00,0x37,0x00,0x00,0x00,0xed,0x00,0x00,0x00, -0x1c,0x00,0x04,0x00,0xef,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, -0xee,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xf0,0x00,0x00,0x00, -0x04,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, -0xf0,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x04,0x00,0x00,0x00, -0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00, +0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xed,0x00,0x00,0x00, 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0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0f,0x00,0x00,0x00, @@ -34569,528 +34564,526 @@ unsigned char matmul_f16_f32_m_fp32_data[] = { 0x06,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,0xa4,0x00,0x00,0x00, 0x39,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa7,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xa7,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, -0x06,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0x97,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, 0x05,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0xa8,0x00,0x00,0x00, 0xb0,0x00,0x05,0x00,0xb7,0x00,0x00,0x00,0xb8,0x00,0x00,0x00, -0x9c,0x02,0x00,0x00,0xb6,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, +0x97,0x02,0x00,0x00,0xb6,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, 0xa9,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0xfa,0x00,0x04,0x00,0xb8,0x00,0x00,0x00,0xa8,0x00,0x00,0x00, 0xa9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa8,0x00,0x00,0x00, 0x41,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,0xc3,0x00,0x00,0x00, -0xbf,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0x3e,0x00,0x03,0x00, 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-const uint64_t matmul_f16_f32_m_fp32_len = 10108; +const uint64_t matmul_f16_f32_m_fp32_len = 10100; unsigned char matmul_f16_f32_s_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xd2,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0xcd,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00, 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00, 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64, 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00, -0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00, +0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00, 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e, 0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x12,0x00,0x00,0x00, -0x3d,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0xf2,0x00,0x00,0x00, -0xfd,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,0x49,0x01,0x00,0x00, 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0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -35147,12 +35141,12 @@ unsigned char matmul_f16_f32_s_data[] = { 0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00, -0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0a,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00, -0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 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0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x62,0x00,0x00,0x00, @@ -36800,44 +36791,45 @@ unsigned char matmul_f16_l_data[] = { 0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xae,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0xb1,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,0x06,0x00,0x00,0x00, -0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xfb,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0xf9,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xfa,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00, -0xfb,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00, -0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xfb,0x00,0x00,0x00, -0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xfd,0x00,0x00,0x00, +0xfa,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xfa,0x00,0x00,0x00, +0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xfc,0x00,0x00,0x00, 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-36847,12 +36839,12 @@ unsigned char matmul_f16_l_data[] = { 0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00, -0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, +0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00, 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x0a,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00, -0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x37,0x00,0x00,0x00, 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, @@ -36860,7 +36852,7 @@ unsigned char matmul_f16_l_data[] = { 0x0a,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, -0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -36885,9 +36877,9 @@ unsigned char matmul_f16_l_data[] = { 0x76,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x02,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 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+0xf8,0x00,0x02,0x00,0x35,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x9c,0x02,0x00,0x00, +0xc5,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x32,0x02,0x00,0x00, +0xf8,0x00,0x02,0x00,0x34,0x02,0x00,0x00,0xfd,0x00,0x01,0x00, +0x38,0x00,0x01,0x00, }; -const uint64_t matmul_f16_l_len = 10164; +const uint64_t matmul_f16_l_len = 10156; unsigned char matmul_f16_l_fp32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0xcf,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0xca,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00, 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c, 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00, 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, +0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 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-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -37736,10 +37727,10 @@ unsigned char matmul_f16_l_fp32_data[] = { 0x13,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x7b,0x00,0x00,0x00, 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x86,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x97,0x00,0x00,0x00, -0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x9c,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 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0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x41,0x00,0x05,0x00, @@ -38819,529 +38810,527 @@ unsigned char matmul_f16_m_data[] = { 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa5,0x00,0x00,0x00, 0xa4,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0xa7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa7,0x00,0x00,0x00, -0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00, +0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x9a,0x02,0x00,0x00, 0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xc6,0x00,0x00,0x00, 0xa8,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xb7,0x00,0x00,0x00, -0xb8,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0xb6,0x00,0x00,0x00, +0xb8,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,0xb6,0x00,0x00,0x00, 0xf6,0x00,0x04,0x00,0xa9,0x00,0x00,0x00,0xa8,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xb8,0x00,0x00,0x00, 0xa8,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xa8,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xc2,0x00,0x00,0x00, -0xc3,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x9f,0x02,0x00,0x00, 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0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, -0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -40285,9 +40275,9 @@ unsigned char matmul_f16_s_data[] = { 0x76,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x02,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x86,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x8c,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x0d,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, 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-0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00, +0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, @@ -41112,7 +41101,7 @@ unsigned char matmul_f16_s_fp32_data[] = { 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, 0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -41136,10 +41125,10 @@ unsigned char matmul_f16_s_fp32_data[] = { 0x13,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x7b,0x00,0x00,0x00, 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x86,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x97,0x00,0x00,0x00, -0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x9c,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xad,0x00,0x00,0x00, @@ -41175,93 +41164,93 @@ unsigned char matmul_f16_s_fp32_data[] = { 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc2,0x00,0x00,0x00, 0x07,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 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0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00, @@ -41924,25 +41912,26 @@ unsigned char matmul_f32_aligned_l_data[] = { 0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x95,0x01,0x00,0x00, 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0x95,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0x09,0x03,0x00,0x00,0x06,0x00,0x00,0x00, -0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x0a,0x03,0x00,0x00, -0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00, -0x0a,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00, -0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x0a,0x03,0x00,0x00, -0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0c,0x03,0x00,0x00, -0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00, -0x0c,0x03,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00, -0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00, -0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00, -0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 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+0x47,0x00,0x04,0x00,0x14,0x03,0x00,0x00,0x21,0x00,0x00,0x00, +0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00, +0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00, +0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00, +0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0x1e,0x00,0x10,0x00,0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -41952,12 +41941,12 @@ unsigned char matmul_f32_aligned_l_data[] = { 0x11,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x15,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00, 0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00, +0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, @@ -41966,7 +41955,7 @@ unsigned char matmul_f32_aligned_l_data[] = { 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, 0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -41991,10 +41980,10 @@ unsigned char matmul_f32_aligned_l_data[] = { 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x7c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x98,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00, +0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -42134,16 +42123,16 @@ unsigned char matmul_f32_aligned_l_data[] = { 0x80,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x8e,0x02,0x00,0x00, 0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00, -0x1d,0x00,0x03,0x00,0x09,0x03,0x00,0x00,0xba,0x00,0x00,0x00, -0x1e,0x00,0x03,0x00,0x0a,0x03,0x00,0x00,0x09,0x03,0x00,0x00, -0x20,0x00,0x04,0x00,0x0b,0x03,0x00,0x00,0x0c,0x00,0x00,0x00, -0x0a,0x03,0x00,0x00,0x3b,0x00,0x04,0x00,0x0b,0x03,0x00,0x00, -0x0c,0x03,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x07,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x12,0x03,0x00,0x00, -0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x1c,0x03,0x00,0x00,0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00, -0x06,0x00,0x00,0x00,0x29,0x03,0x00,0x00,0x84,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0xc3,0x02,0x00,0x00, +0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, +0xcb,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00, +0x11,0x03,0x00,0x00,0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00, +0x12,0x03,0x00,0x00,0x11,0x03,0x00,0x00,0x20,0x00,0x04,0x00, +0x13,0x03,0x00,0x00,0x0c,0x00,0x00,0x00,0x12,0x03,0x00,0x00, +0x3b,0x00,0x04,0x00,0x13,0x03,0x00,0x00,0x14,0x03,0x00,0x00, +0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x19,0x03,0x00,0x00,0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x06,0x00,0x00,0x00,0x26,0x03,0x00,0x00,0x84,0x00,0x00,0x00, 0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x36,0x00,0x05,0x00, 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00, @@ -42257,47 +42246,47 @@ unsigned char matmul_f32_aligned_l_data[] = { 0xa6,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xa8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xa8,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, -0x3b,0x03,0x00,0x00,0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00, +0x38,0x03,0x00,0x00,0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00, 0xc7,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xb0,0x00,0x05,0x00, -0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x3b,0x03,0x00,0x00, +0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x38,0x03,0x00,0x00, 0xb7,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xaa,0x00,0x00,0x00, 0xa9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00, 0xb9,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xaa,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xa9,0x00,0x00,0x00,0x41,0x00,0x05,0x00, 0xc3,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0xc0,0x00,0x00,0x00, -0x3b,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0xc4,0x00,0x00,0x00, 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+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x53,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0x60,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x47,0x00,0x04,0x00,0x62,0x00,0x00,0x00,0x01,0x00,0x00,0x00, @@ -42936,25 +42924,26 @@ unsigned char matmul_f32_aligned_l_fp32_data[] = { 0x51,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0x53,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x47,0x00,0x04,0x00,0x53,0x01,0x00,0x00,0x21,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x88,0x02,0x00,0x00, -0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00, -0x89,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00, -0x48,0x00,0x05,0x00,0x89,0x02,0x00,0x00,0x00,0x00,0x00,0x00, -0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00, -0x89,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00, -0x8b,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0x8b,0x02,0x00,0x00,0x21,0x00,0x00,0x00, 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+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00, +0x47,0x00,0x03,0x00,0x91,0x02,0x00,0x00,0x02,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x93,0x02,0x00,0x00,0x22,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x93,0x02,0x00,0x00, +0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00, +0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00, +0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00, +0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00, +0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, +0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00, +0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0x1e,0x00,0x10,0x00,0x10,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -42964,13 +42953,13 @@ unsigned char matmul_f32_aligned_l_fp32_data[] = { 0x3b,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x12,0x00,0x00,0x00, 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00, 0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x21,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00, +0x21,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00, -0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x34,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x39,0x00,0x00,0x00, @@ -42978,7 +42967,7 @@ unsigned char matmul_f32_aligned_l_fp32_data[] = { 0x3d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, @@ -43004,9 +42993,9 @@ unsigned char matmul_f32_aligned_l_fp32_data[] = { 0x77,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x02,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x8d,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x0d,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x9f,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00, @@ -43121,16 +43110,16 @@ unsigned char matmul_f32_aligned_l_fp32_data[] = { 0xe0,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6c,0x00,0x00,0x00, 0x39,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x0f,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, -0x62,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x88,0x02,0x00,0x00, -0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x89,0x02,0x00,0x00, -0x88,0x02,0x00,0x00,0x20,0x00,0x04,0x00,0x8a,0x02,0x00,0x00, -0x0c,0x00,0x00,0x00,0x89,0x02,0x00,0x00,0x3b,0x00,0x04,0x00, -0x8a,0x02,0x00,0x00,0x8b,0x02,0x00,0x00,0x0c,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8c,0x02,0x00,0x00, -0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x91,0x02,0x00,0x00,0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0x05,0x00,0x00,0x00, -0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00, +0x62,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x42,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, +0x0a,0x00,0x00,0x00,0x4a,0x02,0x00,0x00,0x01,0x00,0x00,0x00, +0x1d,0x00,0x03,0x00,0x90,0x02,0x00,0x00,0xba,0x00,0x00,0x00, +0x1e,0x00,0x03,0x00,0x91,0x02,0x00,0x00,0x90,0x02,0x00,0x00, +0x20,0x00,0x04,0x00,0x92,0x02,0x00,0x00,0x0c,0x00,0x00,0x00, +0x91,0x02,0x00,0x00,0x3b,0x00,0x04,0x00,0x92,0x02,0x00,0x00, +0x93,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x98,0x02,0x00,0x00,0x05,0x00,0x00,0x00, +0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa5,0x02,0x00,0x00, 0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00, 0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, @@ -43244,47 +43233,47 @@ unsigned char matmul_f32_aligned_l_fp32_data[] = { 0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xa5,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa8,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xa8,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, -0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, 0x05,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0xa9,0x00,0x00,0x00, 0xb0,0x00,0x05,0x00,0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, -0xba,0x02,0x00,0x00,0xb7,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, +0xb7,0x02,0x00,0x00,0xb7,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, 0xaa,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 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+43588,182 @@ unsigned char matmul_f32_aligned_l_fp32_data[] = { 0x37,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0x3d,0x02,0x00,0x00,0x59,0x00,0x00,0x00,0xaf,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3e,0x02,0x00,0x00, -0x9e,0x00,0x00,0x00,0x3d,0x02,0x00,0x00,0x84,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0x43,0x02,0x00,0x00,0x47,0x00,0x00,0x00, -0x36,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x15,0x00,0x00,0x00, -0x44,0x02,0x00,0x00,0x12,0x00,0x00,0x00,0xc6,0x00,0x00,0x00, -0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x45,0x02,0x00,0x00, +0x9e,0x00,0x00,0x00,0x3d,0x02,0x00,0x00,0x41,0x00,0x05,0x00, +0x15,0x00,0x00,0x00,0x43,0x02,0x00,0x00,0x12,0x00,0x00,0x00, +0x42,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x44,0x02,0x00,0x00,0x43,0x02,0x00,0x00,0x84,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x45,0x02,0x00,0x00,0x0f,0x00,0x00,0x00, 0x44,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x46,0x02,0x00,0x00,0x43,0x02,0x00,0x00,0x45,0x02,0x00,0x00, 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+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4c,0x00,0x00,0x00, +0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00, +0x4f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x47,0x00,0x04,0x00,0x53,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x60,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00, @@ -43811,25 +43798,26 @@ unsigned char matmul_f32_aligned_m_data[] = { 0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x95,0x01,0x00,0x00, 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0x95,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0x09,0x03,0x00,0x00,0x06,0x00,0x00,0x00, -0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x0a,0x03,0x00,0x00, -0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00, -0x0a,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00, -0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x0a,0x03,0x00,0x00, -0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0c,0x03,0x00,0x00, -0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00, -0x0c,0x03,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00, -0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00, -0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00, -0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00, -0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00, -0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, -0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, -0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x11,0x00, -0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0xcb,0x02,0x00,0x00,0x0b,0x00,0x00,0x00, +0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x11,0x03,0x00,0x00, +0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00, +0x12,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00, +0x48,0x00,0x05,0x00,0x12,0x03,0x00,0x00,0x00,0x00,0x00,0x00, +0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00, +0x12,0x03,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00, +0x14,0x03,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x14,0x03,0x00,0x00,0x21,0x00,0x00,0x00, +0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00, +0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00, +0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00, +0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0x1e,0x00,0x10,0x00,0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -43839,12 +43827,12 @@ unsigned char matmul_f32_aligned_m_data[] = { 0x11,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x15,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00, 0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00, +0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, @@ -43853,7 +43841,7 @@ unsigned char matmul_f32_aligned_m_data[] = { 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, 0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -43878,10 +43866,10 @@ unsigned char matmul_f32_aligned_m_data[] = { 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x7c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x98,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00, +0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -44021,16 +44009,16 @@ unsigned char matmul_f32_aligned_m_data[] = { 0x80,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x8e,0x02,0x00,0x00, 0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00, -0x1d,0x00,0x03,0x00,0x09,0x03,0x00,0x00,0xba,0x00,0x00,0x00, -0x1e,0x00,0x03,0x00,0x0a,0x03,0x00,0x00,0x09,0x03,0x00,0x00, -0x20,0x00,0x04,0x00,0x0b,0x03,0x00,0x00,0x0c,0x00,0x00,0x00, -0x0a,0x03,0x00,0x00,0x3b,0x00,0x04,0x00,0x0b,0x03,0x00,0x00, -0x0c,0x03,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x07,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x12,0x03,0x00,0x00, -0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x1c,0x03,0x00,0x00,0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00, -0x06,0x00,0x00,0x00,0x29,0x03,0x00,0x00,0x84,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0xc3,0x02,0x00,0x00, +0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, +0xcb,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00, +0x11,0x03,0x00,0x00,0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00, +0x12,0x03,0x00,0x00,0x11,0x03,0x00,0x00,0x20,0x00,0x04,0x00, +0x13,0x03,0x00,0x00,0x0c,0x00,0x00,0x00,0x12,0x03,0x00,0x00, +0x3b,0x00,0x04,0x00,0x13,0x03,0x00,0x00,0x14,0x03,0x00,0x00, +0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x19,0x03,0x00,0x00,0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00, +0x06,0x00,0x00,0x00,0x26,0x03,0x00,0x00,0x84,0x00,0x00,0x00, 0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x36,0x00,0x05,0x00, 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00, @@ -44144,47 +44132,47 @@ unsigned char matmul_f32_aligned_m_data[] = { 0xa6,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,0x6d,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xa8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xa8,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00, -0x3b,0x03,0x00,0x00,0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00, +0x38,0x03,0x00,0x00,0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00, 0xc7,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xb0,0x00,0x05,0x00, -0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x3b,0x03,0x00,0x00, +0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x38,0x03,0x00,0x00, 0xb7,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xaa,0x00,0x00,0x00, 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+44403,163 @@ unsigned char matmul_f32_aligned_m_data[] = { 0x41,0x00,0x05,0x00,0x00,0x01,0x00,0x00,0xfc,0x01,0x00,0x00, 0x88,0x01,0x00,0x00,0xf7,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, 0xfc,0x01,0x00,0x00,0xfb,0x01,0x00,0x00,0x80,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0xfe,0x01,0x00,0x00,0x4d,0x03,0x00,0x00, +0x06,0x00,0x00,0x00,0xfe,0x01,0x00,0x00,0x4a,0x03,0x00,0x00, 0x6d,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x71,0x01,0x00,0x00, 0xf8,0x00,0x02,0x00,0x73,0x01,0x00,0x00,0xe0,0x00,0x04,0x00, 0x0c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xff,0x01,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x02,0x00,0x00, -0x50,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x80,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0x05,0x02,0x00,0x00,0x54,0x03,0x00,0x00, +0x4d,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x80,0x00,0x05,0x00, +0x06,0x00,0x00,0x00,0x05,0x02,0x00,0x00,0x51,0x03,0x00,0x00, 0x03,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x07,0x02,0x00,0x00, 0xf8,0x00,0x02,0x00,0x07,0x02,0x00,0x00,0xf5,0x00,0x07,0x00, 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0x06,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,0x55,0x00,0x00,0x00, @@ -44619,183 +44607,182 @@ unsigned char matmul_f32_aligned_m_data[] = { 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00, 0x59,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,0x9e,0x00,0x00,0x00, -0xbe,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xc4,0x02,0x00,0x00,0x47,0x00,0x00,0x00,0x36,0x00,0x00,0x00, -0x41,0x00,0x05,0x00,0x15,0x00,0x00,0x00,0xc5,0x02,0x00,0x00, -0x12,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0x3d,0x00,0x04,0x00, -0x06,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,0xc5,0x02,0x00,0x00, -0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc7,0x02,0x00,0x00, -0xc4,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,0xf9,0x00,0x02,0x00, -0xc9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc9,0x02,0x00,0x00, +0xbe,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x15,0x00,0x00,0x00, +0xc4,0x02,0x00,0x00,0x12,0x00,0x00,0x00,0xc3,0x02,0x00,0x00, +0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xc5,0x02,0x00,0x00, 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+0x47,0x00,0x04,0x00,0x37,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3d,0x00,0x00,0x00, +0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00, +0x4c,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x4f,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x53,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0x60,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x47,0x00,0x04,0x00,0x62,0x00,0x00,0x00,0x01,0x00,0x00,0x00, @@ -44823,25 +44810,26 @@ unsigned char matmul_f32_aligned_m_fp32_data[] = { 0x51,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0x53,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x47,0x00,0x04,0x00,0x53,0x01,0x00,0x00,0x21,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x88,0x02,0x00,0x00, -0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00, -0x89,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00, -0x48,0x00,0x05,0x00,0x89,0x02,0x00,0x00,0x00,0x00,0x00,0x00, -0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00, -0x89,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00, -0x8b,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0x8b,0x02,0x00,0x00,0x21,0x00,0x00,0x00, -0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00, -0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00, -0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00, -0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00, -0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00, -0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00, -0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00, -0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00, -0x1e,0x00,0x11,0x00,0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4a,0x02,0x00,0x00, +0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00, +0x90,0x02,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00, +0x48,0x00,0x04,0x00,0x91,0x02,0x00,0x00,0x00,0x00,0x00,0x00, +0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x91,0x02,0x00,0x00, +0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00, +0x47,0x00,0x03,0x00,0x91,0x02,0x00,0x00,0x02,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x93,0x02,0x00,0x00,0x22,0x00,0x00,0x00, +0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x93,0x02,0x00,0x00, +0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00, +0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00, +0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00, +0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00, +0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, +0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00, +0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0x1e,0x00,0x10,0x00,0x10,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -44851,13 +44839,13 @@ unsigned char matmul_f32_aligned_m_fp32_data[] = { 0x3b,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x12,0x00,0x00,0x00, 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00, 0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x21,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00, +0x21,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00, -0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x34,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x39,0x00,0x00,0x00, @@ -44865,7 +44853,7 @@ unsigned char matmul_f32_aligned_m_fp32_data[] = { 0x3d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, @@ -44891,9 +44879,9 @@ unsigned char matmul_f32_aligned_m_fp32_data[] = { 0x77,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x02,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x8d,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x0d,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x9f,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00, @@ -45008,16 +44996,16 @@ unsigned char matmul_f32_aligned_m_fp32_data[] = { 0xe0,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6c,0x00,0x00,0x00, 0x39,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x0f,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, -0x62,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x88,0x02,0x00,0x00, -0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x89,0x02,0x00,0x00, -0x88,0x02,0x00,0x00,0x20,0x00,0x04,0x00,0x8a,0x02,0x00,0x00, -0x0c,0x00,0x00,0x00,0x89,0x02,0x00,0x00,0x3b,0x00,0x04,0x00, -0x8a,0x02,0x00,0x00,0x8b,0x02,0x00,0x00,0x0c,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8c,0x02,0x00,0x00, -0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x91,0x02,0x00,0x00,0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0x05,0x00,0x00,0x00, -0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00, +0x62,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x42,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, +0x0a,0x00,0x00,0x00,0x4a,0x02,0x00,0x00,0x01,0x00,0x00,0x00, +0x1d,0x00,0x03,0x00,0x90,0x02,0x00,0x00,0xba,0x00,0x00,0x00, +0x1e,0x00,0x03,0x00,0x91,0x02,0x00,0x00,0x90,0x02,0x00,0x00, +0x20,0x00,0x04,0x00,0x92,0x02,0x00,0x00,0x0c,0x00,0x00,0x00, +0x91,0x02,0x00,0x00,0x3b,0x00,0x04,0x00,0x92,0x02,0x00,0x00, +0x93,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x98,0x02,0x00,0x00,0x05,0x00,0x00,0x00, +0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa5,0x02,0x00,0x00, 0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00, 0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, @@ -45131,47 +45119,47 @@ unsigned char matmul_f32_aligned_m_fp32_data[] = { 0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xa5,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa8,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xa8,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, -0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, 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0xe1,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x80,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0xcf,0x02,0x00,0x00, +0x06,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0xcc,0x02,0x00,0x00, 0xe2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xe5,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x6f,0x00,0x00,0x00, 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xef,0x00,0x00,0x00, @@ -45220,24 +45208,24 @@ unsigned char matmul_f32_aligned_m_fp32_data[] = { 0xfd,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0xea,0x00,0x00,0x00, 0x22,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x26,0x01,0x00,0x00, 0x25,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x2d,0x01,0x00,0x00,0xcb,0x02,0x00,0x00,0x2b,0x01,0x00,0x00, +0x2d,0x01,0x00,0x00,0xc8,0x02,0x00,0x00,0x2b,0x01,0x00,0x00, 0xf9,0x00,0x02,0x00,0xd3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, 0xd5,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x2f,0x01,0x00,0x00, 0xf8,0x00,0x02,0x00,0x2f,0x01,0x00,0x00,0xf5,0x00,0x07,0x00, -0x06,0x00,0x00,0x00,0xcc,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, 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+45443,30 @@ unsigned char matmul_f32_aligned_m_fp32_data[] = { 0x1b,0x02,0x00,0x00,0x21,0x02,0x00,0x00,0x24,0x02,0x00,0x00, 0x3e,0x00,0x03,0x00,0x23,0x02,0x00,0x00,0x25,0x02,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x28,0x02,0x00,0x00, -0xe3,0x02,0x00,0x00,0xc6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xe0,0x02,0x00,0x00,0xc6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0x04,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x06,0x02,0x00,0x00, 0xf9,0x00,0x02,0x00,0xff,0x01,0x00,0x00,0xf8,0x00,0x02,0x00, 0xff,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x2a,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,0xc6,0x00,0x00,0x00, +0x2a,0x02,0x00,0x00,0xde,0x02,0x00,0x00,0xc6,0x00,0x00,0x00, 0xf9,0x00,0x02,0x00,0xfc,0x01,0x00,0x00,0xf8,0x00,0x02,0x00, 0xfe,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xf7,0x01,0x00,0x00, 0xf8,0x00,0x02,0x00,0xf7,0x01,0x00,0x00,0x80,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0x2c,0x02,0x00,0x00,0xdf,0x02,0x00,0x00, +0x06,0x00,0x00,0x00,0x2c,0x02,0x00,0x00,0xdc,0x02,0x00,0x00, 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+0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00, +0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00, +0x1e,0x00,0x10,0x00,0x10,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -45726,12 +45713,12 @@ unsigned char matmul_f32_aligned_s_data[] = { 0x11,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x15,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00, 0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00, +0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, @@ -45740,7 +45727,7 @@ unsigned char matmul_f32_aligned_s_data[] = { 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, 0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -45765,10 +45752,10 @@ unsigned char matmul_f32_aligned_s_data[] = { 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x77,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x7c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8d,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x98,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00, +0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x40,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x9f,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, @@ -45908,16 +45895,16 @@ unsigned char matmul_f32_aligned_s_data[] = { 0x80,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x39,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x8e,0x02,0x00,0x00, 0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00, -0x1d,0x00,0x03,0x00,0x09,0x03,0x00,0x00,0xba,0x00,0x00,0x00, -0x1e,0x00,0x03,0x00,0x0a,0x03,0x00,0x00,0x09,0x03,0x00,0x00, -0x20,0x00,0x04,0x00,0x0b,0x03,0x00,0x00,0x0c,0x00,0x00,0x00, -0x0a,0x03,0x00,0x00,0x3b,0x00,0x04,0x00,0x0b,0x03,0x00,0x00, -0x0c,0x03,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x07,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x12,0x03,0x00,0x00, -0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x1c,0x03,0x00,0x00,0x05,0x00,0x00,0x00,0x34,0x00,0x06,0x00, -0x06,0x00,0x00,0x00,0x29,0x03,0x00,0x00,0x84,0x00,0x00,0x00, +0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0xc3,0x02,0x00,0x00, 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0xde,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0xe1,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0xe3,0x00,0x00,0x00,0x50,0x03,0x00,0x00,0xe2,0x00,0x00,0x00, +0xe3,0x00,0x00,0x00,0x4d,0x03,0x00,0x00,0xe2,0x00,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe5,0x00,0x00,0x00, 0xe3,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0xde,0x00,0x00,0x00, @@ -46178,24 +46165,24 @@ unsigned char matmul_f32_aligned_s_data[] = { 0x41,0x00,0x05,0x00,0x00,0x01,0x00,0x00,0x68,0x01,0x00,0x00, 0xeb,0x00,0x00,0x00,0x63,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, 0x68,0x01,0x00,0x00,0x67,0x01,0x00,0x00,0x80,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0x6f,0x01,0x00,0x00,0x4c,0x03,0x00,0x00, +0x06,0x00,0x00,0x00,0x6f,0x01,0x00,0x00,0x49,0x03,0x00,0x00, 0x6d,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xd3,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xd5,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0x71,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x71,0x01,0x00,0x00, -0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x4d,0x03,0x00,0x00, +0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x4a,0x03,0x00,0x00, 0x3e,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xfe,0x01,0x00,0x00, 0x72,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0xb8,0x00,0x00,0x00, -0x77,0x01,0x00,0x00,0x4d,0x03,0x00,0x00,0x9d,0x00,0x00,0x00, +0x77,0x01,0x00,0x00,0x4a,0x03,0x00,0x00,0x9d,0x00,0x00,0x00, 0xf6,0x00,0x04,0x00,0x73,0x01,0x00,0x00,0x72,0x01,0x00,0x00, 0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x77,0x01,0x00,0x00, 0x72,0x01,0x00,0x00,0x73,0x01,0x00,0x00,0xf8,0x00,0x02,0x00, 0x72,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x7c,0x01,0x00,0x00,0x74,0x00,0x00,0x00,0x4d,0x03,0x00,0x00, +0x7c,0x01,0x00,0x00,0x74,0x00,0x00,0x00,0x4a,0x03,0x00,0x00, 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7f,0x01,0x00,0x00, 0x7c,0x01,0x00,0x00,0xa1,0x00,0x00,0x00,0x86,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x80,0x01,0x00,0x00,0x7f,0x01,0x00,0x00, 0x6d,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x81,0x01,0x00,0x00,0x54,0x03,0x00,0x00,0x80,0x01,0x00,0x00, +0x81,0x01,0x00,0x00,0x51,0x03,0x00,0x00,0x80,0x01,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x83,0x01,0x00,0x00, 0x81,0x01,0x00,0x00,0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0x8d,0x01,0x00,0x00,0x7c,0x01,0x00,0x00, @@ -46302,163 +46289,163 @@ unsigned char matmul_f32_aligned_s_data[] = { 0x41,0x00,0x05,0x00,0x00,0x01,0x00,0x00,0xfc,0x01,0x00,0x00, 0x88,0x01,0x00,0x00,0xf7,0x01,0x00,0x00,0x3e,0x00,0x03,0x00, 0xfc,0x01,0x00,0x00,0xfb,0x01,0x00,0x00,0x80,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0xfe,0x01,0x00,0x00,0x4d,0x03,0x00,0x00, +0x06,0x00,0x00,0x00,0xfe,0x01,0x00,0x00,0x4a,0x03,0x00,0x00, 0x6d,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x71,0x01,0x00,0x00, 0xf8,0x00,0x02,0x00,0x73,0x01,0x00,0x00,0xe0,0x00,0x04,0x00, 0x0c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xff,0x01,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x02,0x00,0x00, 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+0x48,0x00,0x05,0x00,0x10,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, +0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00, +0x10,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00, +0x30,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x10,0x00,0x00,0x00, +0x0d,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x34,0x00,0x00,0x00, +0x47,0x00,0x03,0x00,0x10,0x00,0x00,0x00,0x02,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x37,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3d,0x00,0x00,0x00, +0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00, +0x4c,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00, +0x47,0x00,0x04,0x00,0x4f,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x53,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0x60,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x47,0x00,0x04,0x00,0x62,0x00,0x00,0x00,0x01,0x00,0x00,0x00, @@ -46710,25 +46696,26 @@ unsigned char matmul_f32_aligned_s_fp32_data[] = { 0x51,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00, 0x53,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x47,0x00,0x04,0x00,0x53,0x01,0x00,0x00,0x21,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x88,0x02,0x00,0x00, -0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00, -0x89,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00, -0x48,0x00,0x05,0x00,0x89,0x02,0x00,0x00,0x00,0x00,0x00,0x00, -0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00, -0x89,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00, -0x8b,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00, -0x47,0x00,0x04,0x00,0x8b,0x02,0x00,0x00,0x21,0x00,0x00,0x00, -0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00, -0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00, -0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00, -0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00, -0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00, 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+0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00, +0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00, +0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00, +0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00, +0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00, +0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0x1e,0x00,0x10,0x00,0x10,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -46738,13 +46725,13 @@ unsigned char matmul_f32_aligned_s_fp32_data[] = { 0x3b,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x12,0x00,0x00,0x00, 0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00, 0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x21,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00, +0x21,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00, -0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x34,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x39,0x00,0x00,0x00, @@ -46752,7 +46739,7 @@ unsigned char matmul_f32_aligned_s_fp32_data[] = { 0x3d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, @@ -46778,9 +46765,9 @@ unsigned char matmul_f32_aligned_s_fp32_data[] = { 0x77,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x02,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x87,0x00,0x00,0x00, -0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x8d,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x0d,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00, 0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x9f,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00, @@ -46895,16 +46882,16 @@ unsigned char matmul_f32_aligned_s_fp32_data[] = { 0xe0,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6c,0x00,0x00,0x00, 0x39,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00, 0x0f,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00, -0x62,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x88,0x02,0x00,0x00, -0xba,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x89,0x02,0x00,0x00, -0x88,0x02,0x00,0x00,0x20,0x00,0x04,0x00,0x8a,0x02,0x00,0x00, -0x0c,0x00,0x00,0x00,0x89,0x02,0x00,0x00,0x3b,0x00,0x04,0x00, -0x8a,0x02,0x00,0x00,0x8b,0x02,0x00,0x00,0x0c,0x00,0x00,0x00, -0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8c,0x02,0x00,0x00, -0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x91,0x02,0x00,0x00,0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0x05,0x00,0x00,0x00, -0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00, +0x62,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x42,0x02,0x00,0x00,0x0d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00, +0x0a,0x00,0x00,0x00,0x4a,0x02,0x00,0x00,0x01,0x00,0x00,0x00, +0x1d,0x00,0x03,0x00,0x90,0x02,0x00,0x00,0xba,0x00,0x00,0x00, +0x1e,0x00,0x03,0x00,0x91,0x02,0x00,0x00,0x90,0x02,0x00,0x00, +0x20,0x00,0x04,0x00,0x92,0x02,0x00,0x00,0x0c,0x00,0x00,0x00, +0x91,0x02,0x00,0x00,0x3b,0x00,0x04,0x00,0x92,0x02,0x00,0x00, +0x93,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x98,0x02,0x00,0x00,0x05,0x00,0x00,0x00, +0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa5,0x02,0x00,0x00, 0x84,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x62,0x00,0x00,0x00, 0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, @@ -47018,47 +47005,47 @@ unsigned char matmul_f32_aligned_s_fp32_data[] = { 0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xa5,0x00,0x00,0x00, 0x6d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa8,0x00,0x00,0x00, 0xf8,0x00,0x02,0x00,0xa8,0x00,0x00,0x00,0xf5,0x00,0x07,0x00, -0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, +0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,0x3e,0x00,0x00,0x00, 0x05,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0xa9,0x00,0x00,0x00, 0xb0,0x00,0x05,0x00,0xb8,0x00,0x00,0x00,0xb9,0x00,0x00,0x00, -0xba,0x02,0x00,0x00,0xb7,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, +0xb7,0x02,0x00,0x00,0xb7,0x00,0x00,0x00,0xf6,0x00,0x04,0x00, 0xaa,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x01,0x00,0x00,0x00, 0xfa,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,0xa9,0x00,0x00,0x00, 0xaa,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa9,0x00,0x00,0x00, 0x41,0x00,0x05,0x00,0xc3,0x00,0x00,0x00,0xc4,0x00,0x00,0x00, -0xc0,0x00,0x00,0x00,0xba,0x02,0x00,0x00,0x3e,0x00,0x03,0x00, +0xc0,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,0x3e,0x00,0x03,0x00, 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0xf8,0x00,0x02,0x00,0xd4,0x00,0x00,0x00,0x80,0x00,0x05,0x00, 0x06,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0x74,0x00,0x00,0x00, -0xcb,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, +0xc8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xe1,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0x8f,0x00,0x00,0x00, 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe2,0x00,0x00,0x00, 0xe1,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x80,0x00,0x05,0x00, -0x06,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0xcf,0x02,0x00,0x00, +0x06,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0xcc,0x02,0x00,0x00, 0xe2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 0xe5,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x6f,0x00,0x00,0x00, 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xef,0x00,0x00,0x00, @@ -47107,24 +47094,24 @@ unsigned char matmul_f32_aligned_s_fp32_data[] = { 0xfd,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0xea,0x00,0x00,0x00, 0x22,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x26,0x01,0x00,0x00, 0x25,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, 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0x06,0x00,0x00,0x00,0x19,0x02,0x00,0x00,0x12,0x02,0x00,0x00, -0xe3,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xc3,0x00,0x00,0x00, +0xe0,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xc3,0x00,0x00,0x00, 0x1a,0x02,0x00,0x00,0xa3,0x01,0x00,0x00,0x19,0x02,0x00,0x00, 0x3d,0x00,0x04,0x00,0xba,0x00,0x00,0x00,0x1b,0x02,0x00,0x00, 0x1a,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xc3,0x00,0x00,0x00, @@ -47342,30 +47329,30 @@ unsigned char matmul_f32_aligned_s_fp32_data[] = { 0x1b,0x02,0x00,0x00,0x21,0x02,0x00,0x00,0x24,0x02,0x00,0x00, 0x3e,0x00,0x03,0x00,0x23,0x02,0x00,0x00,0x25,0x02,0x00,0x00, 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x28,0x02,0x00,0x00, -0xe3,0x02,0x00,0x00,0xc6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, +0xe0,0x02,0x00,0x00,0xc6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00, 0x04,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x06,0x02,0x00,0x00, 0xf9,0x00,0x02,0x00,0xff,0x01,0x00,0x00,0xf8,0x00,0x02,0x00, 0xff,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00, -0x2a,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,0xc6,0x00,0x00,0x00, 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0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00, @@ -47607,12 +47593,12 @@ unsigned char matmul_f32_l_data[] = { 0x11,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x15,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00, +0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00, 0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x21,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x08,0x00,0x00,0x00, +0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x07,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x34,0x00,0x00,0x00, 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0x3d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, @@ -48496,10 +48482,10 @@ unsigned char matmul_f32_l_fp32_data[] = { 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x76,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x7b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8c,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 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+49325,10 @@ unsigned char matmul_f32_m_data[] = { 0x13,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x7b,0x00,0x00,0x00, 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x86,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x97,0x00,0x00,0x00, -0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x9c,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x04,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xad,0x00,0x00,0x00, @@ -49379,95 +49364,95 @@ unsigned char matmul_f32_m_data[] = { 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc2,0x00,0x00,0x00, 0x07,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 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-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, 0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00, 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00, @@ -51035,10 +51019,10 @@ unsigned char matmul_f32_s_data[] = { 0x13,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x06,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x7b,0x00,0x00,0x00, 0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x86,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x86,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x13,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0x03,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x97,0x00,0x00,0x00, -0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x9c,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 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-0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x08,0x00,0x00,0x00, 0x20,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x21,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x0a,0x00,0x00,0x00, +0x21,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, +0x13,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x2d,0x00,0x00,0x00, -0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, +0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x34,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x37,0x00,0x00,0x00,0x40,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x39,0x00,0x00,0x00, @@ -51862,7 +51846,7 @@ unsigned char matmul_f32_s_fp32_data[] = { 0x3d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00, 0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x4c,0x00,0x00,0x00, -0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00, +0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00, 0x4f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x20,0x00,0x00,0x00, 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00, @@ -51886,10 +51870,10 @@ unsigned char matmul_f32_s_fp32_data[] = { 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x76,0x00,0x00,0x00, 0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, 0x7b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00, -0x13,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x0c,0x00,0x00,0x00, +0x13,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x0b,0x00,0x00,0x00, 0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x8c,0x00,0x00,0x00, 0x03,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x13,0x00,0x00,0x00, -0x97,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x32,0x00,0x04,0x00, 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+0x38,0x00,0x01,0x00, }; -const uint64_t matmul_f32_s_fp32_len = 10056; +const uint64_t matmul_f32_s_fp32_len = 10048; unsigned char mul_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, @@ -61211,51 +61193,49 @@ const uint64_t soft_max_f32_len = 3752; unsigned char split_k_reduce_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, -0x57,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, +0x50,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00, 0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00, 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30, 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00, 0x01,0x00,0x00,0x00,0x0f,0x00,0x09,0x00,0x05,0x00,0x00,0x00, 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00, -0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x32,0x00,0x00,0x00, -0x44,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00, -0x11,0x00,0x00,0x00,0x00,0x02,0x00,0x00,0x01,0x00,0x00,0x00, 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+0x3e,0x00,0x03,0x00,0x44,0x00,0x00,0x00,0x4f,0x00,0x00,0x00, +0xf9,0x00,0x02,0x00,0x48,0x00,0x00,0x00,0xf8,0x00,0x02,0x00, +0x48,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00, + }; -const uint64_t split_k_reduce_len = 1528; +const uint64_t split_k_reduce_len = 1416; unsigned char sqr_f32_data[] = { 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00, diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp index f902008e8443d..2c2b38fc3657b 100644 --- a/ggml-vulkan.cpp +++ b/ggml-vulkan.cpp @@ -1,22 +1,9 @@ #include "ggml-vulkan.h" #ifdef VK_RUN_TESTS -#include #include #endif -#ifdef VK_PROFILE -#define PROFILE(name, block) do { \ - auto begin = std::chrono::steady_clock::now(); \ - block \ - auto end = std::chrono::steady_clock::now(); \ - double time_taken = std::chrono::duration_cast(end-begin).count() / 1000.0; \ - printf("%s: %lf ms\n", name, time_taken); \ -} while(0) -#else -#define PROFILE(name, block) block -#endif - #include #include @@ -128,6 +115,7 @@ struct vk_device { vk_queue compute_queue; vk_queue transfer_queue; uint32_t descriptor_set_mode; + uint32_t subgroup_size; bool is_igpu; }; @@ -222,7 +210,7 @@ struct ggml_vk_garbage_collector { std::vector contexts; }; -typedef void (*ggml_vk_func_t)(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst); +typedef void (*ggml_vk_func_t)(vk_context * ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst); vk::Instance vk_instance; vk_device vk_device; @@ -471,11 +459,11 @@ static vk_sequence ggml_vk_create_sequence_1(vk_queue& q, std::vectorseqs.size() << ", " << fence << ")" << std::endl; #endif - if (ctx.seqs.empty()) { + if (ctx->seqs.empty()) { return; } @@ -490,7 +478,7 @@ static void ggml_vk_submit(vk_context& ctx, vk::Fence fence) { size_t reserve = 0; - for (const auto& sequence : ctx.seqs) { + for (const auto& sequence : ctx->seqs) { reserve += sequence.size(); } @@ -503,7 +491,7 @@ static void ggml_vk_submit(vk_context& ctx, vk::Fence fence) { submit_infos.reserve(reserve); stage_flags.reserve(reserve); - for (const auto& sequence : ctx.seqs) { + for (const auto& sequence : ctx->seqs) { for (const auto& submission : sequence) { stage_flags.push_back({}); idx++; @@ -512,7 +500,7 @@ static void ggml_vk_submit(vk_context& ctx, vk::Fence fence) { tl_signal_vals.push_back({}); tl_signal_semaphores.push_back({}); for (size_t i = 0; i < submission.wait_semaphores.size(); i++) { - stage_flags[idx].push_back(ctx.q->stage_flags); + stage_flags[idx].push_back(ctx->q->stage_flags); tl_wait_vals[idx].push_back(submission.wait_semaphores[i].value); tl_wait_semaphores[idx].push_back(submission.wait_semaphores[i].s); } @@ -542,9 +530,9 @@ static void ggml_vk_submit(vk_context& ctx, vk::Fence fence) { } } - ctx.q->queue.submit(submit_infos, fence); + ctx->q->queue.submit(submit_infos, fence); - ctx.seqs.clear(); + ctx->seqs.clear(); } static uint32_t ggml_vk_find_queue_family_index(std::vector& queue_family_props, const vk::QueueFlags& required, const vk::QueueFlags& avoid, int32_t compute_index, uint32_t min_num_queues) { @@ -716,15 +704,15 @@ static vk_subbuffer ggml_vk_subbuffer(vk_buffer& buf) { return { buf, 0, VK_WHOLE_SIZE }; } -static void ggml_vk_sync_buffers(vk_context& ctx) { +static void ggml_vk_sync_buffers(vk_context * ctx) { #ifdef VK_DEBUG std::cerr << "ggml_vk_sync_buffers()" << std::endl; #endif const std::vector mem_barriers{ { { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite }, { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite } } }; - ctx.s->buffer.pipelineBarrier( - ctx.q->stage_flags, - ctx.q->stage_flags, + ctx->s->buffer.pipelineBarrier( + ctx->q->stage_flags, + ctx->q->stage_flags, {}, mem_barriers, {}, @@ -788,32 +776,40 @@ static void ggml_vk_load_shaders() { #endif // mulmat - std::initializer_list warptile_l = { 128, 128, 128, 16, 64, 64, 2, 4, 4 }; - std::initializer_list warptile_m = { 128, 64, 64, 16, 32, 32, 2, 4, 2 }; - std::initializer_list warptile_s = { 32, 32, 32, 8, 32, 32, 2, 2, 2 }; + std::initializer_list warptile_l = { 128, 128, 128, 16, vk_device.subgroup_size * 2, 64, 2, 4, 4, vk_device.subgroup_size }; + std::initializer_list warptile_m = { 128, 64, 64, 16, vk_device.subgroup_size, 32, 2, 4, 2, vk_device.subgroup_size }; + std::initializer_list warptile_s = { vk_device.subgroup_size, 32, 32, 8, 32, 32, 2, 2, 2, vk_device.subgroup_size }; + + std::array l_wg_denoms = {128, 128, 1 }; + std::array m_wg_denoms = { 64, 64, 1 }; + std::array s_wg_denoms = { 32, 32, 1 }; + + uint32_t l_align = 128; + uint32_t m_align = 64; + uint32_t s_align = 32; if (vk_device.fp16) { - vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_len, matmul_f32_l_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_len, matmul_f32_m_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_len, matmul_f32_s_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 1); - vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_len, matmul_f32_aligned_l_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_len, matmul_f32_aligned_m_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_len, matmul_f32_aligned_s_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_len, matmul_f16_l_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_len, matmul_f16_m_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_len, matmul_f16_s_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 1); - - vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_len, matmul_f16_aligned_l_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_len, matmul_f16_aligned_m_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_len, matmul_f16_aligned_s_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_len, matmul_f16_f32_l_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_len, matmul_f16_f32_m_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_len, matmul_f16_f32_s_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 1); - vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_len, matmul_f16_f32_aligned_l_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_len, matmul_f16_f32_aligned_m_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_len, matmul_f16_f32_aligned_s_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_len, matmul_f32_l_data, "main", 3, 14 * sizeof(uint32_t), l_wg_denoms, warptile_l, 1); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_len, matmul_f32_m_data, "main", 3, 14 * sizeof(uint32_t), m_wg_denoms, warptile_m, 1); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_len, matmul_f32_s_data, "main", 3, 14 * sizeof(uint32_t), s_wg_denoms, warptile_s, 1); + vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_len, matmul_f32_aligned_l_data, "main", 3, 14 * sizeof(uint32_t), l_wg_denoms, warptile_l, l_align); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_len, matmul_f32_aligned_m_data, "main", 3, 14 * sizeof(uint32_t), m_wg_denoms, warptile_m, m_align); + vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_len, matmul_f32_aligned_s_data, "main", 3, 14 * sizeof(uint32_t), s_wg_denoms, warptile_s, s_align); + + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_len, matmul_f16_l_data, "main", 3, 14 * sizeof(uint32_t), l_wg_denoms, warptile_l, 1); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_len, matmul_f16_m_data, "main", 3, 14 * sizeof(uint32_t), m_wg_denoms, warptile_m, 1); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_len, matmul_f16_s_data, "main", 3, 14 * sizeof(uint32_t), s_wg_denoms, warptile_s, 1); + + vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_len, matmul_f16_aligned_l_data, "main", 3, 14 * sizeof(uint32_t), l_wg_denoms, warptile_l, l_align); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_len, matmul_f16_aligned_m_data, "main", 3, 14 * sizeof(uint32_t), m_wg_denoms, warptile_m, m_align); + vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_len, matmul_f16_aligned_s_data, "main", 3, 14 * sizeof(uint32_t), s_wg_denoms, warptile_s, s_align); + + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_len, matmul_f16_f32_l_data, "main", 3, 14 * sizeof(uint32_t), l_wg_denoms, warptile_l, 1); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_len, matmul_f16_f32_m_data, "main", 3, 14 * sizeof(uint32_t), m_wg_denoms, warptile_m, 1); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_len, matmul_f16_f32_s_data, "main", 3, 14 * sizeof(uint32_t), s_wg_denoms, warptile_s, 1); + vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_len, matmul_f16_f32_aligned_l_data, "main", 3, 14 * sizeof(uint32_t), l_wg_denoms, warptile_l, l_align); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_len, matmul_f16_f32_aligned_m_data, "main", 3, 14 * sizeof(uint32_t), m_wg_denoms, warptile_m, m_align); + vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_len, matmul_f16_f32_aligned_s_data, "main", 3, 14 * sizeof(uint32_t), s_wg_denoms, warptile_s, s_align); // Build dequant shaders vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline("f32_to_f16", f32_to_f16_len, f32_to_f16_data, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); @@ -845,27 +841,27 @@ static void ggml_vk_load_shaders() { vk_pipeline_get_rows_f32[GGML_TYPE_Q5_1] = ggml_vk_create_pipeline("get_rows_q5_1_f32", get_rows_q5_1_f32_len, get_rows_q5_1_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); vk_pipeline_get_rows_f32[GGML_TYPE_Q8_0] = ggml_vk_create_pipeline("get_rows_q8_0_f32", get_rows_q8_0_f32_len, get_rows_q8_0_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1); } else { - vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_fp32_len, matmul_f32_l_fp32_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_fp32_len, matmul_f32_m_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_fp32_len, matmul_f32_s_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 1); - vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_fp32_len, matmul_f32_aligned_l_fp32_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_fp32_len, matmul_f32_aligned_m_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_fp32_len, matmul_f32_aligned_s_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_fp32_len, matmul_f16_l_fp32_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_fp32_len, matmul_f16_m_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_fp32_len, matmul_f16_s_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 1); - - vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_fp32_len, matmul_f16_aligned_l_fp32_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_fp32_len, matmul_f16_aligned_m_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_fp32_len, matmul_f16_aligned_s_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 32); - - vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_fp32_len, matmul_f16_f32_l_fp32_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 1); - vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_fp32_len, matmul_f16_f32_m_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 1); - vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_fp32_len, matmul_f16_f32_s_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 1); - vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_fp32_len, matmul_f16_f32_aligned_l_fp32_data, "main", 3, 15 * sizeof(uint32_t), {128, 128, 1}, warptile_l, 128); - vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_fp32_len, matmul_f16_f32_aligned_m_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 64, 64, 1}, warptile_m, 64); - vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_fp32_len, matmul_f16_f32_aligned_s_fp32_data, "main", 3, 15 * sizeof(uint32_t), { 32, 32, 1}, warptile_s, 32); + vk_pipeline_matmul_f32_l = ggml_vk_create_pipeline("matmul_f32_l", matmul_f32_l_fp32_len, matmul_f32_l_fp32_data, "main", 3, 14 * sizeof(uint32_t), l_wg_denoms, warptile_l, 1); + vk_pipeline_matmul_f32_m = ggml_vk_create_pipeline("matmul_f32_m", matmul_f32_m_fp32_len, matmul_f32_m_fp32_data, "main", 3, 14 * sizeof(uint32_t), m_wg_denoms, warptile_m, 1); + vk_pipeline_matmul_f32_s = ggml_vk_create_pipeline("matmul_f32_s", matmul_f32_s_fp32_len, matmul_f32_s_fp32_data, "main", 3, 14 * sizeof(uint32_t), s_wg_denoms, warptile_s, 1); + vk_pipeline_matmul_f32_aligned_l = ggml_vk_create_pipeline("matmul_f32_aligned_l", matmul_f32_aligned_l_fp32_len, matmul_f32_aligned_l_fp32_data, "main", 3, 14 * sizeof(uint32_t), l_wg_denoms, warptile_l, l_align); + vk_pipeline_matmul_f32_aligned_m = ggml_vk_create_pipeline("matmul_f32_aligned_m", matmul_f32_aligned_m_fp32_len, matmul_f32_aligned_m_fp32_data, "main", 3, 14 * sizeof(uint32_t), m_wg_denoms, warptile_m, m_align); + vk_pipeline_matmul_f32_aligned_s = ggml_vk_create_pipeline("matmul_f32_aligned_s", matmul_f32_aligned_s_fp32_len, matmul_f32_aligned_s_fp32_data, "main", 3, 14 * sizeof(uint32_t), s_wg_denoms, warptile_s, s_align); + + vk_pipeline_matmul_f16_l = ggml_vk_create_pipeline("matmul_f16_l", matmul_f16_l_fp32_len, matmul_f16_l_fp32_data, "main", 3, 14 * sizeof(uint32_t), l_wg_denoms, warptile_l, 1); + vk_pipeline_matmul_f16_m = ggml_vk_create_pipeline("matmul_f16_m", matmul_f16_m_fp32_len, matmul_f16_m_fp32_data, "main", 3, 14 * sizeof(uint32_t), m_wg_denoms, warptile_m, 1); + vk_pipeline_matmul_f16_s = ggml_vk_create_pipeline("matmul_f16_s", matmul_f16_s_fp32_len, matmul_f16_s_fp32_data, "main", 3, 14 * sizeof(uint32_t), s_wg_denoms, warptile_s, 1); + + vk_pipeline_matmul_f16_aligned_l = ggml_vk_create_pipeline("matmul_f16_aligned_l", matmul_f16_aligned_l_fp32_len, matmul_f16_aligned_l_fp32_data, "main", 3, 14 * sizeof(uint32_t), l_wg_denoms, warptile_l, l_align); + vk_pipeline_matmul_f16_aligned_m = ggml_vk_create_pipeline("matmul_f16_aligned_m", matmul_f16_aligned_m_fp32_len, matmul_f16_aligned_m_fp32_data, "main", 3, 14 * sizeof(uint32_t), m_wg_denoms, warptile_m, m_align); + vk_pipeline_matmul_f16_aligned_s = ggml_vk_create_pipeline("matmul_f16_aligned_s", matmul_f16_aligned_s_fp32_len, matmul_f16_aligned_s_fp32_data, "main", 3, 14 * sizeof(uint32_t), s_wg_denoms, warptile_s, s_align); + + vk_pipeline_matmul_f16_f32_l = ggml_vk_create_pipeline("matmul_f16_f32_l", matmul_f16_f32_l_fp32_len, matmul_f16_f32_l_fp32_data, "main", 3, 14 * sizeof(uint32_t), l_wg_denoms, warptile_l, 1); + vk_pipeline_matmul_f16_f32_m = ggml_vk_create_pipeline("matmul_f16_f32_m", matmul_f16_f32_m_fp32_len, matmul_f16_f32_m_fp32_data, "main", 3, 14 * sizeof(uint32_t), m_wg_denoms, warptile_m, 1); + vk_pipeline_matmul_f16_f32_s = ggml_vk_create_pipeline("matmul_f16_f32_s", matmul_f16_f32_s_fp32_len, matmul_f16_f32_s_fp32_data, "main", 3, 14 * sizeof(uint32_t), s_wg_denoms, warptile_s, 1); + vk_pipeline_matmul_f16_f32_aligned_l = ggml_vk_create_pipeline("matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_l_fp32_len, matmul_f16_f32_aligned_l_fp32_data, "main", 3, 14 * sizeof(uint32_t), l_wg_denoms, warptile_l, l_align); + vk_pipeline_matmul_f16_f32_aligned_m = ggml_vk_create_pipeline("matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_m_fp32_len, matmul_f16_f32_aligned_m_fp32_data, "main", 3, 14 * sizeof(uint32_t), m_wg_denoms, warptile_m, m_align); + vk_pipeline_matmul_f16_f32_aligned_s = ggml_vk_create_pipeline("matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_s_fp32_len, matmul_f16_f32_aligned_s_fp32_data, "main", 3, 14 * sizeof(uint32_t), s_wg_denoms, warptile_s, s_align); // Build dequant shaders vk_pipeline_dequant[GGML_TYPE_F32] = ggml_vk_create_pipeline("f32_to_f16", f32_to_f16_fp32_len, f32_to_f16_fp32_data, "main", 2, 4 * sizeof(int), {64, 1, 1}, {}, 1); @@ -910,7 +906,7 @@ static void ggml_vk_load_shaders() { vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q5_K] = ggml_vk_create_pipeline("mul_mat_vec_q5_K_f32", mul_mat_vec_q5_K_f32_len, mul_mat_vec_q5_K_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); vk_pipeline_dequant_mul_mat_vec_f32[GGML_TYPE_Q6_K] = ggml_vk_create_pipeline("mul_mat_vec_q6_K_f32", mul_mat_vec_q6_K_f32_len, mul_mat_vec_q6_K_f32_data, "main", 3, 3 * sizeof(int), {1, 1, 1}, {}, 1); - vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 3 * sizeof(uint32_t), {512, 1, 1}, {}, 1); + vk_pipeline_matmul_split_k_reduce = ggml_vk_create_pipeline("split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 2 * sizeof(uint32_t), {256, 1, 1}, {}, 1); vk_pipeline_mul_mat_vec_p021_f16_f32 = ggml_vk_create_pipeline("mul_mat_vec_p021_f16_f32", mul_mat_vec_p021_f16_f32_len, mul_mat_vec_p021_f16_f32_data, "main", 3, 6 * sizeof(uint32_t), {1, 1, 1}, {}, 1); vk_pipeline_mul_mat_vec_nc_f16_f32 = ggml_vk_create_pipeline("mul_mat_vec_nc_f16_f32", mul_mat_vec_nc_f16_f32_len, mul_mat_vec_nc_f16_f32_data, "main", 3, 7 * sizeof(uint32_t), {1, 1, 1}, {}, 1); @@ -1002,9 +998,11 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; vk::PhysicalDeviceProperties2 props2; vk::PhysicalDeviceMaintenance3Properties props3; vk::PhysicalDeviceMaintenance4Properties props4; + vk::PhysicalDeviceSubgroupProperties subgroup_props; props2.pNext = &props3; + props3.pNext = &subgroup_props; if (maintenance4_support) { - props3.pNext = &props4; + subgroup_props.pNext = &props4; } vk_device.physical_device.getProperties2(&props2); vk_device.properties = props2.properties; @@ -1015,9 +1013,8 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; vk_device.max_memory_allocation_size = props3.maxMemoryAllocationSize; } - std::cerr << "ggml_vulkan: Using " << vk_device.properties.deviceName << std::endl; - vk_device.vendor_id = vk_device.properties.vendorID; + vk_device.subgroup_size = subgroup_props.subgroupSize; vk_device.is_igpu = vk_device.properties.deviceType == vk::PhysicalDeviceType::eIntegratedGpu; bool fp16_storage = false; @@ -1089,11 +1086,9 @@ std::cerr << "ggml_vulkan: Validation layers enabled" << std::endl; #endif if (vk_device.fp16) { - std::cerr << "ggml_vulkan: 16-bit enabled" << std::endl; device_extensions.push_back("VK_KHR_shader_float16_int8"); - } else if (force_disable_f16) { - std::cerr << "ggml_vulkan: 16-bit force-disabled" << std::endl; } + std::cerr << "ggml_vulkan: Using " << vk_device.properties.deviceName << " | fp16: " << vk_device.fp16 << " | warp size: " << vk_device.subgroup_size << std::endl; device_create_info = { vk::DeviceCreateFlags(), device_queue_create_infos, @@ -1315,7 +1310,7 @@ static vk_submission ggml_vk_begin_submission(vk_queue& q, bool one_time = true) return s; } -static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, std::vector&& buffers, size_t push_constant_size, const void* push_constants, std::array elements) { +static void ggml_vk_dispatch_pipeline(vk_context * ctx, vk_pipeline& pipeline, std::vector&& buffers, size_t push_constant_size, const void* push_constants, std::array elements) { const uint32_t wg0 = CEIL_DIV(elements[0], pipeline.wg_denoms[0]); const uint32_t wg1 = CEIL_DIV(elements[1], pipeline.wg_denoms[1]); const uint32_t wg2 = CEIL_DIV(elements[2], pipeline.wg_denoms[2]); @@ -1336,14 +1331,14 @@ static void ggml_vk_dispatch_pipeline(vk_submission& s, vk_pipeline& pipeline, s vk_device.device.updateDescriptorSets(write_descriptor_sets, {}); - s.buffer.pushConstants(pipeline.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constant_size, push_constants); - s.buffer.bindPipeline(vk::PipelineBindPoint::eCompute, pipeline.pipeline); - s.buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, + ctx->s->buffer.pushConstants(pipeline.layout, vk::ShaderStageFlagBits::eCompute, 0, push_constant_size, push_constants); + ctx->s->buffer.bindPipeline(vk::PipelineBindPoint::eCompute, pipeline.pipeline); + ctx->s->buffer.bindDescriptorSets(vk::PipelineBindPoint::eCompute, pipeline.layout, 0, { descriptor_set }, {}); - s.buffer.dispatch(wg0, wg1, wg2); + ctx->s->buffer.dispatch(wg0, wg1, wg2); } static void ggml_vk_end_submission(vk_submission& s, std::vector wait_semaphores, std::vector signal_semaphores) { @@ -1353,28 +1348,28 @@ static void ggml_vk_end_submission(vk_submission& s, std::vector w s.signal_semaphores = std::move(signal_semaphores); } -static void ggml_vk_ctx_end(vk_context& ctx) { +static void ggml_vk_ctx_end(vk_context * ctx) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_ctx_end(" << &ctx << ", " << ctx.seqs.size() << ")" << std::endl; + std::cerr << "ggml_vk_ctx_end(" << ctx << ", " << ctx->seqs.size() << ")" << std::endl; #endif - if (ctx.s == nullptr) { + if (ctx->s == nullptr) { return; } - ctx.s->buffer.end(); - ctx.s = nullptr; + ctx->s->buffer.end(); + ctx->s = nullptr; } -static void ggml_vk_ctx_begin(vk_context& ctx) { +static void ggml_vk_ctx_begin(vk_context * ctx) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_ctx_begin(" << &ctx << ")" << std::endl; + std::cerr << "ggml_vk_ctx_begin(" << ctx << ")" << std::endl; #endif - if (ctx.s != nullptr) { + if (ctx->s != nullptr) { ggml_vk_ctx_end(ctx); } - ctx.seqs.push_back({ ggml_vk_begin_submission(*ctx.q) }); - ctx.s = ctx.seqs[ctx.seqs.size() - 1].data(); + ctx->seqs.push_back({ ggml_vk_begin_submission(*ctx->q) }); + ctx->s = ctx->seqs[ctx->seqs.size() - 1].data(); } static size_t ggml_vk_align_size(size_t width, size_t align) { @@ -1389,7 +1384,7 @@ static void deferred_memcpy(void * dst, const void * src, size_t size, std::vect } } -static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_t offset, const ggml_tensor * tensor, bool sync_staging = false) { +static void ggml_vk_buffer_write_nc_async(vk_context * ctx, vk_buffer* dst, size_t offset, const ggml_tensor * tensor, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_nc_async(" << tensor << ")" << std::endl; #endif @@ -1457,7 +1452,7 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ } ggml_vk_sync_buffers(ctx); - ctx.s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); + ctx->s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); return; } @@ -1483,22 +1478,22 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ VkBufferCopy buf_copy{ staging_offset, offset, copy_size }; ggml_vk_sync_buffers(ctx); - vkCmdCopyBuffer(ctx.s->buffer, staging->buffer, dst->buffer, 1, &buf_copy); + vkCmdCopyBuffer(ctx->s->buffer, staging->buffer, dst->buffer, 1, &buf_copy); for (uint64_t i3 = 0; i3 < ne3; i3++) { for (uint64_t i2 = 0; i2 < ne2; i2++) { // Find longest contiguous slice if (ne1*nb1 == dstnb2) { - deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i3*dstnb3 + i2*dstnb2, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2, dstnb2, &ctx.in_memcpys); + deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i3*dstnb3 + i2*dstnb2, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2, dstnb2, &ctx->in_memcpys); } else { for (uint64_t i1 = 0; i1 < ne1; i1++) { if (ne0*nb0/bs == dstnb1) { - deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2 + i1*nb1, dstnb1, &ctx.in_memcpys); + deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1, (const uint8_t *) tensor->data + buf_offset + i3*nb3 + i2*nb2 + i1*nb1, dstnb1, &ctx->in_memcpys); } else { const uint64_t s_off = buf_offset + i3*nb3 + i2*nb2 + i1*nb1; const uint64_t d_off = staging_offset + i3*dstnb3 + i2*dstnb2 + i1*dstnb1; for (uint64_t i0 = 0; i0 < ne0; i0++) { - deferred_memcpy((uint8_t *)staging->ptr + d_off + i0*dstnb0, (const uint8_t *) tensor->data + s_off + i0*nb0, dstnb0, &ctx.in_memcpys); + deferred_memcpy((uint8_t *)staging->ptr + d_off + i0*dstnb0, (const uint8_t *) tensor->data + s_off + i0*nb0, dstnb0, &ctx->in_memcpys); } } } @@ -1507,7 +1502,7 @@ static void ggml_vk_buffer_write_nc_async(vk_context& ctx, vk_buffer* dst, size_ } } -static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, bool sync_staging = false) { +static void ggml_vk_buffer_write_2d_async(vk_context * ctx, vk_buffer* dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl; #endif @@ -1547,7 +1542,7 @@ static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_ } ggml_vk_sync_buffers(ctx); - ctx.s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); + ctx->s->buffer.copyBuffer(buf->buffer, dst->buffer, slices); return; } #ifdef VK_DEBUG @@ -1578,18 +1573,18 @@ static void ggml_vk_buffer_write_2d_async(vk_context& ctx, vk_buffer* dst, size_ copy_size}; ggml_vk_sync_buffers(ctx); - vkCmdCopyBuffer(ctx.s->buffer, staging->buffer, dst->buffer, 1, &buf_copy); + vkCmdCopyBuffer(ctx->s->buffer, staging->buffer, dst->buffer, 1, &buf_copy); if (width == spitch) { - deferred_memcpy((uint8_t *)staging->ptr + staging_offset, src, width * height, &ctx.in_memcpys); + deferred_memcpy((uint8_t *)staging->ptr + staging_offset, src, width * height, &ctx->in_memcpys); } else { for (size_t i = 0; i < height; i++) { - deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i * width, (const uint8_t *) src + i * spitch, width, &ctx.in_memcpys); + deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i * width, (const uint8_t *) src + i * spitch, width, &ctx->in_memcpys); } } } -static void ggml_vk_buffer_write_async(vk_context& ctx, vk_buffer* dst, size_t offset, const void * src, size_t size, bool sync_staging = false) { +static void ggml_vk_buffer_write_async(vk_context * ctx, vk_buffer* dst, size_t offset, const void * src, size_t size, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl; #endif @@ -1609,15 +1604,15 @@ static void ggml_vk_buffer_write_2d(vk_buffer* dst, size_t offset, const void * } } else { vk_context * ctx = ggml_vk_create_context(vk_device.transfer_queue); - ggml_vk_ctx_begin(*ctx); - ggml_vk_buffer_write_2d_async(*ctx, dst, offset, src, spitch, width, height, true); - ggml_vk_ctx_end(*ctx); + ggml_vk_ctx_begin(ctx); + ggml_vk_buffer_write_2d_async(ctx, dst, offset, src, spitch, width, height, true); + ggml_vk_ctx_end(ctx); for (auto& cpy : ctx->in_memcpys) { memcpy(cpy.dst, cpy.src, cpy.n); } - ggml_vk_submit(*ctx, vk_fence); + ggml_vk_submit(ctx, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_buffer_write_2d waitForFences"); vk_device.device.resetFences({ vk_fence }); } @@ -1630,7 +1625,7 @@ static void ggml_vk_buffer_write(vk_buffer* dst, size_t offset, const void * src ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1); } -static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, bool sync_staging = false) { +static void ggml_vk_buffer_read_2d_async(vk_context * ctx, vk_buffer* src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, bool sync_staging = false) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_read_2d_async(offset=" << offset << ", width=" << width << ", height=" << height << ")" << std::endl; #endif @@ -1668,7 +1663,7 @@ static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t if (buf != nullptr) { // Memory is pinned, use as staging buffer ggml_vk_sync_buffers(ctx); - ctx.s->buffer.copyBuffer(src->buffer, buf->buffer, slices); + ctx->s->buffer.copyBuffer(src->buffer, buf->buffer, slices); return; } @@ -1694,12 +1689,12 @@ static void ggml_vk_buffer_read_2d_async(vk_context& ctx, vk_buffer* src, size_t } ggml_vk_sync_buffers(ctx); - ctx.s->buffer.copyBuffer(src->buffer, staging->buffer, slices); + ctx->s->buffer.copyBuffer(src->buffer, staging->buffer, slices); - deferred_memcpy(dst, staging->ptr, copy_size, &ctx.out_memcpys); + deferred_memcpy(dst, staging->ptr, copy_size, &ctx->out_memcpys); } -static void ggml_vk_buffer_read_async(vk_context& ctx, vk_buffer* src, size_t offset, void * dst, size_t size, bool sync_staging = false) { +static void ggml_vk_buffer_read_async(vk_context * ctx, vk_buffer* src, size_t offset, void * dst, size_t size, bool sync_staging = false) { return ggml_vk_buffer_read_2d_async(ctx, src, offset, dst, size, size, size, 1, sync_staging); } @@ -1713,11 +1708,11 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ memcpy(dst, (uint8_t *) src->ptr + offset, size); } else { vk_context * ctx = ggml_vk_create_context(vk_device.transfer_queue); - ggml_vk_ctx_begin(*ctx); - ggml_vk_buffer_read_async(*ctx, src, offset, dst, size, true); - ggml_vk_ctx_end(*ctx); + ggml_vk_ctx_begin(ctx); + ggml_vk_buffer_read_async(ctx, src, offset, dst, size, true); + ggml_vk_ctx_end(ctx); - ggml_vk_submit(*ctx, vk_fence); + ggml_vk_submit(ctx, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_buffer_read waitForFences"); vk_device.device.resetFences({ vk_fence }); @@ -1727,13 +1722,13 @@ static void ggml_vk_buffer_read(vk_buffer* src, size_t offset, void * dst, size_ } } -static void ggml_vk_buffer_copy_async(vk_context& ctx, vk_buffer * dst, size_t dst_offset, vk_buffer * src, size_t src_offset, size_t size) { +static void ggml_vk_buffer_copy_async(vk_context * ctx, vk_buffer * dst, size_t dst_offset, vk_buffer * src, size_t src_offset, size_t size) { #ifdef VK_DEBUG std::cerr << "ggml_vk_buffer_copy_async(" << size << ")" << std::endl; #endif VkBufferCopy bc{ src_offset, dst_offset, size }; - vkCmdCopyBuffer(ctx.s->buffer, src->buffer, dst->buffer, 1, &bc); + vkCmdCopyBuffer(ctx->s->buffer, src->buffer, dst->buffer, 1, &bc); } static void ggml_vk_buffer_copy(vk_buffer * dst, size_t dst_offset, vk_buffer * src, size_t src_offset, size_t size) { @@ -1743,11 +1738,11 @@ static void ggml_vk_buffer_copy(vk_buffer * dst, size_t dst_offset, vk_buffer * VkBufferCopy bc{ src_offset, dst_offset, size }; vk_context * ctx = ggml_vk_create_context(vk_device.transfer_queue); - ggml_vk_ctx_begin(*ctx); + ggml_vk_ctx_begin(ctx); vkCmdCopyBuffer(ctx->s->buffer, src->buffer, dst->buffer, 1, &bc); - ggml_vk_buffer_copy_async(*ctx, dst, dst_offset, src, src_offset, size); - ggml_vk_ctx_end(*ctx); - ggml_vk_submit(*ctx, vk_fence); + ggml_vk_buffer_copy_async(ctx, dst, dst_offset, src, src_offset, size); + ggml_vk_ctx_end(ctx); + ggml_vk_submit(ctx, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_buffer_copy waitForFences"); vk_device.device.resetFences({ vk_fence }); } @@ -1757,16 +1752,16 @@ static void ggml_vk_buffer_memset(vk_buffer* dst, size_t offset, uint32_t c, siz std::cerr << "ggml_vk_buffer_memset(" << offset << ", " << c << ", " << size << ")" << std::endl; #endif vk_context * ctx = ggml_vk_create_context(vk_device.transfer_queue); - ggml_vk_ctx_begin(*ctx); + ggml_vk_ctx_begin(ctx); ctx->s->buffer.fillBuffer(dst->buffer, offset, size, c); - ggml_vk_ctx_end(*ctx); + ggml_vk_ctx_end(ctx); - ggml_vk_submit(*ctx, vk_fence); + ggml_vk_submit(ctx, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "vk_memset waitForFences"); vk_device.device.resetFences({ vk_fence }); } -static void ggml_vk_h2d_tensor_2d(vk_context& ctx, vk_buffer * dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1) { +static void ggml_vk_h2d_tensor_2d(vk_context * ctx, vk_buffer * dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1) { #ifdef VK_DEBUG std::cerr << "ggml_vk_h2d_tensor_2d(dst=" << dst << ", offset=" << offset << ", src=" << src << ", i3=" << i3 << ", i2=" << i2 << ", i1=" << i1 << ")" << std::endl; #endif @@ -1796,7 +1791,7 @@ static void ggml_vk_h2d_tensor_2d(vk_context& ctx, vk_buffer * dst, size_t offse return ggml_vk_buffer_write_nc_async(ctx, dst, offset, src); } -static void ggml_vk_d2h_tensor_2d(vk_context& ctx, vk_buffer * src, size_t offset, const ggml_tensor * dst) { +static void ggml_vk_d2h_tensor_2d(vk_context * ctx, vk_buffer * src, size_t offset, const ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_d2h_tensor_2d()" << std::endl; #endif @@ -1822,12 +1817,11 @@ static void ggml_vk_d2h_tensor_2d(vk_context& ctx, vk_buffer * src, size_t offse GGML_ASSERT(false); } -static uint32_t ggml_vk_guess_split_k(int m, int n, int k, bool aligned) { +static uint32_t ggml_vk_guess_split_k(int m, int n, int k) { #ifdef VK_DEBUG std::cerr << "ggml_vk_guess_split_k(" << m << ", " << n << ", " << k << ", " << aligned << ")"; #endif - // Disabled until bug in shader code found - if (false && aligned && k > 128 && (m < 128 || n < 128) && m > 2 && n > 2) { + if (k > 128 && (m < 128 || n < 128) && m > 2 && n > 2) { #ifdef VK_DEBUG std::cerr << " = 4" << std::endl; #endif @@ -1847,7 +1841,7 @@ static uint32_t ggml_vk_guess_matmul_pipeline_align(int m, int n) { if (m <= 32 || n <= 32) { return vk_pipeline_matmul_f32_aligned_s.align; } - if (m <= 64 || n <= 64) { + if (vk_device.subgroup_size == 64 || m <= 64 || n <= 64) { return vk_pipeline_matmul_f32_aligned_m.align; } return vk_pipeline_matmul_f32_aligned_l.align; @@ -1864,7 +1858,7 @@ static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16_x, bool bit16_y, in #endif return aligned ? &vk_pipeline_matmul_f16_aligned_s : &vk_pipeline_matmul_f16_s; } - if (m <= 64 || n <= 64) { + if (vk_device.subgroup_size == 64 || m <= 64 || n <= 64) { #ifdef VK_DEBUG std::cerr << " M" << std::endl; #endif @@ -1882,7 +1876,7 @@ static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16_x, bool bit16_y, in #endif return aligned ? &vk_pipeline_matmul_f16_f32_aligned_s : &vk_pipeline_matmul_f16_f32_s; } - if (m <= 64 || n <= 64) { + if (vk_device.subgroup_size == 64 || m <= 64 || n <= 64) { #ifdef VK_DEBUG std::cerr << " M" << std::endl; #endif @@ -1903,7 +1897,7 @@ static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16_x, bool bit16_y, in #endif return aligned ? &vk_pipeline_matmul_f32_aligned_s : &vk_pipeline_matmul_f32_s; } - if (m <= 64 || n <= 64) { + if (vk_device.subgroup_size == 64 || m <= 64 || n <= 64) { #ifdef VK_DEBUG std::cerr << " M" << std::endl; #endif @@ -1915,27 +1909,29 @@ static vk_pipeline* ggml_vk_guess_matmul_pipeline(bool bit16_x, bool bit16_y, in return aligned ? &vk_pipeline_matmul_f32_aligned_l : &vk_pipeline_matmul_f32_l; } -static void ggml_vk_matmul(vk_context& ctx, vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& split_k_buffer, uint32_t m, uint32_t n, uint32_t k, uint32_t stride_a, uint32_t stride_b, uint32_t stride_d, uint32_t split_k, uint32_t d_offset, uint32_t batch, uint32_t ne02, uint32_t ne12, uint32_t broadcast2, uint32_t broadcast3, uint32_t batch_stride_a, uint32_t batch_stride_b, uint32_t batch_stride_d) { +static void ggml_vk_matmul(vk_context * ctx, vk_pipeline& pipeline, vk_subbuffer&& a, vk_subbuffer&& b, vk_subbuffer&& d, vk_subbuffer&& split_k_buffer, uint32_t m, uint32_t n, uint32_t k, uint32_t stride_a, uint32_t stride_b, uint32_t stride_d, uint32_t split_k, uint32_t batch, uint32_t ne02, uint32_t ne12, uint32_t broadcast2, uint32_t broadcast3, uint32_t batch_stride_a, uint32_t batch_stride_b, uint32_t batch_stride_d) { #ifdef VK_DEBUG - std::cerr << "ggml_vk_matmul(a: (" << a.buffer.buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer.buffer << ", " << b.offset << ", " << b.size << "), c: (" << d.buffer.buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << split_k_buffer.buffer.buffer << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", split_k: " << split_k << ", d_offset: " << d_offset << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ")" << std::endl; + std::cerr << "ggml_vk_matmul(a: (" << a.buffer.buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer.buffer << ", " << b.offset << ", " << b.size << "), c: (" << d.buffer.buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << split_k_buffer.buffer.buffer << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", split_k: " << split_k << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ")" << std::endl; #endif if (split_k == 1) { ggml_vk_sync_buffers(ctx); - const std::array pc = { m, n, k, stride_a, stride_b, stride_d, k, d_offset, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d }; - ggml_vk_dispatch_pipeline(*ctx.s, pipeline, { a, b, d }, pc.size() * sizeof(uint32_t), pc.data(), { m, n, batch }); + const std::array pc = { m, n, k, stride_a, stride_b, stride_d, k, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d }; + ggml_vk_dispatch_pipeline(ctx, pipeline, { a, b, d }, pc.size() * sizeof(uint32_t), pc.data(), { m, n, batch }); return; } GGML_ASSERT(batch_stride_d == m * n); - ggml_vk_sync_buffers(ctx); // Synchronize the two submissions - const std::array pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k), 0, ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d * split_k }; - ggml_vk_dispatch_pipeline(*ctx.s, pipeline, { a, b, split_k_buffer }, pc1.size() * sizeof(uint32_t), pc1.data(), { m * split_k, n, batch }); ggml_vk_sync_buffers(ctx); - const std::array pc2 = { (uint32_t)(m * n * batch), split_k, d_offset }; - ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(uint32_t), pc2.data(), { m * n * batch, 1, 1 }); - return; + ctx->s->buffer.fillBuffer(split_k_buffer.buffer.buffer, 0, split_k_buffer.size, 0); + ggml_vk_sync_buffers(ctx); + const std::array pc1 = { m, n, k, stride_a, stride_b, stride_d, CEIL_DIV(k, split_k), ne02, ne12, broadcast2, broadcast3, batch_stride_a, batch_stride_b, batch_stride_d }; + // Make sure enough workgroups get assigned for split k to work + ggml_vk_dispatch_pipeline(ctx, pipeline, { a, b, split_k_buffer }, pc1.size() * sizeof(uint32_t), pc1.data(), { (CEIL_DIV(m, pipeline.wg_denoms[0]) * pipeline.wg_denoms[0]) * split_k, n, batch }); + ggml_vk_sync_buffers(ctx); + const std::array pc2 = { (uint32_t)(m * n * batch), split_k }; + ggml_vk_dispatch_pipeline(ctx, vk_pipeline_matmul_split_k_reduce, { split_k_buffer, d }, pc2.size() * sizeof(uint32_t), pc2.data(), { m * n * batch, 1, 1 }); } static bool ggml_vk_dim01_contiguous(const ggml_tensor * tensor) { @@ -1960,7 +1956,7 @@ static vk_pipeline * ggml_vk_get_cpy_pipeline(ggml_type from, ggml_type to) { GGML_ASSERT(false); } -static void ggml_vk_cpy_to_contiguous(vk_context& ctx, vk_pipeline * pipeline, const ggml_tensor * tensor, vk_subbuffer&& in, vk_subbuffer&& out, ggml_type buffer_type, bool aligned=true) { +static void ggml_vk_cpy_to_contiguous(vk_context * ctx, vk_pipeline * pipeline, const ggml_tensor * tensor, vk_subbuffer&& in, vk_subbuffer&& out, ggml_type buffer_type, bool aligned=true) { #ifdef VK_DEBUG std::cerr << "ggml_vk_cpy_to_contiguous((" << tensor << ", type=" << tensor->type << ", backend=" << tensor->backend << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << "), "; std::cerr << "buffer in size=" << in.buffer.size << ", buffer out size=" << out.buffer.size << ")" << std::endl; @@ -1979,10 +1975,10 @@ static void ggml_vk_cpy_to_contiguous(vk_context& ctx, vk_pipeline * pipeline, c 0, }; ggml_vk_sync_buffers(ctx); - ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { in, out }, sizeof(vk_op_cpy_push_constants), &pc, { ne, 1, 1 }); + ggml_vk_dispatch_pipeline(ctx, *pipeline, { in, out }, sizeof(vk_op_cpy_push_constants), &pc, { ne, 1, 1 }); } -static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_mul_mat_q_f16(vk_context * ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; @@ -2028,7 +2024,7 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con const uint32_t kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); const bool aligned = ne10 == kpad; - const uint32_t split_k = ggml_vk_guess_split_k(ne01, ne11, ne10, aligned); + const uint32_t split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); vk_pipeline * pipeline = ggml_vk_guess_matmul_pipeline(true, !f16_f32_kernel, ne01, ne11, aligned); @@ -2036,7 +2032,6 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con const uint64_t qy_sz = ggml_type_size(src1->type) * y_ne / ggml_blck_size(src1->type); const uint64_t x_sz = sizeof(ggml_fp16_t) * x_ne; const uint64_t y_sz = f16_f32_kernel ? sizeof(float) * y_ne : sizeof(ggml_fp16_t) * y_ne; - const uint64_t split_k_d_sz = sizeof(float) * d_ne * split_k; const uint64_t d_sz = sizeof(float) * d_ne; ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra; @@ -2126,7 +2121,7 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con if (qx_needs_dequant) { const std::vector pc = { (int)ne01, (int)ne10, (int)ne10, (int)ne10 }; ggml_vk_sync_buffers(ctx); - ggml_vk_dispatch_pipeline(*ctx.s, *to_fp16_vk_0, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 }, { *d_X, 0, x_sz * ne02 * ne03 } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)(x_ne * ne02 * ne03), 1, 1}); + ggml_vk_dispatch_pipeline(ctx, *to_fp16_vk_0, { { *d_Qx, qx_buf_offset, qx_sz * ne02 * ne03 }, { *d_X, 0, x_sz * ne02 * ne03 } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)(x_ne * ne02 * ne03), 1, 1}); } } if (y_non_contig) { @@ -2147,7 +2142,7 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con } // compute - ggml_vk_matmul(ctx, *pipeline, { *d_X, x_buf_offset, x_sz * ne02 * ne03 }, { *d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { *d_D, d_buf_offset, d_sz * ne12 * ne13 }, { vk_prealloc_split_k, 0, split_k_d_sz }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, 0, ne12*ne13, ne02, ne12, r2, r3, stride_batch_x, stride_batch_y, ne20*ne21); // NOLINT + ggml_vk_matmul(ctx, *pipeline, { *d_X, x_buf_offset, x_sz * ne02 * ne03 }, { *d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { *d_D, d_buf_offset, d_sz * ne12 * ne13 }, { vk_prealloc_split_k, 0, d_sz * ne12 * ne13 * split_k }, ne01, ne11, ne10, ne10, ne10, ne01, split_k, ne12*ne13, ne02, ne12, r2, r3, stride_batch_x, stride_batch_y, ne20*ne21); // NOLINT if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host @@ -2156,7 +2151,7 @@ static void ggml_vk_mul_mat_q_f16(vk_context& ctx, const ggml_tensor * src0, con } } -static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_mul_mat_vec_q_f16(vk_context * ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat_vec_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; @@ -2307,13 +2302,13 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, if (!y_non_contig && qy_needs_dequant) { const std::vector pc = { (int)ne11, (int)ne10, (int)ne10, (int)ne10 }; ggml_vk_sync_buffers(ctx); - ggml_vk_dispatch_pipeline(*ctx.s, *to_fp16_vk_1, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); + ggml_vk_dispatch_pipeline(ctx, *to_fp16_vk_1, { { *d_Qy, qy_offset, qy_sz }, { *d_Y, y_offset, y_sz } }, pc.size() * sizeof(int), pc.data(), { (uint32_t)y_ne, 1, 1}); } // compute const std::array pc = { (int)ne00, (int)(y_shader_offset / ggml_type_size(src1->type)), (int)(d_shader_offset / ggml_type_size(dst->type))}; ggml_vk_sync_buffers(ctx); - ggml_vk_dispatch_pipeline(*ctx.s, *dmmv, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 3 * sizeof(int), &pc, { (uint32_t)ne01, 1, 1}); + ggml_vk_dispatch_pipeline(ctx, *dmmv, { { *d_X, x_offset, x_sz }, { *d_Y, y_buffer_offset, y_sz + y_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 3 * sizeof(int), &pc, { (uint32_t)ne01, 1, 1}); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host @@ -2325,7 +2320,7 @@ static void ggml_vk_mul_mat_vec_q_f16(vk_context& ctx, const ggml_tensor * src0, } } -static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context * ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat_p021_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; @@ -2397,7 +2392,7 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor // compute const std::array pc = { (uint32_t)ne00, (uint32_t)ne01, (uint32_t)ne02, (uint32_t)ne12, (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) }; ggml_vk_sync_buffers(ctx); - ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_mul_mat_vec_p021_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 6 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); + ggml_vk_dispatch_pipeline(ctx, vk_pipeline_mul_mat_vec_p021_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 6 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host @@ -2407,7 +2402,7 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(vk_context& ctx, const ggml_tensor } } -static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context * ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat_nc_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", backend=" << src1->backend << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3]; @@ -2483,7 +2478,7 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(vk_context& ctx, const ggml_tensor * // compute const std::array pc = { (uint32_t)ne00, (uint32_t)ne01, row_stride_x, channel_stride_x, (uint32_t)(ne12 / ne02), (uint32_t)(qy_shader_offset / ggml_type_size(src1->type)), (uint32_t)(d_shader_offset / ggml_type_size(dst->type)) }; ggml_vk_sync_buffers(ctx); - ggml_vk_dispatch_pipeline(*ctx.s, vk_pipeline_mul_mat_vec_nc_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 7 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); + ggml_vk_dispatch_pipeline(ctx, vk_pipeline_mul_mat_vec_nc_f16_f32, { { *d_Qx, qx_buf_offset, qx_sz }, { *d_Qy, qy_buffer_offset, qy_sz + qy_shader_offset }, { *d_D, d_buffer_offset, d_sz + d_shader_offset } }, 7 * sizeof(uint32_t), &pc, { 1, (uint32_t)ne01, (uint32_t)ne12 }); if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host @@ -2506,7 +2501,7 @@ static bool ggml_vk_can_mul_mat(const ggml_tensor * src0, const ggml_tensor * sr ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_GPU); } -static void ggml_vk_mul_mat(vk_context& ctx, const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { +static void ggml_vk_mul_mat(vk_context * ctx, const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) { #ifdef VK_DEBUG std::cerr << "ggml_vk_mul_mat(" << src0 << ", " << src1 << ", " << dst << ")" << std::endl; #endif @@ -2521,7 +2516,7 @@ static void ggml_vk_mul_mat(vk_context& ctx, const struct ggml_tensor * src0, co } } -static void ggml_vk_op_repeat(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_op_repeat(vk_context * ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { // guaranteed to be an integer due to the check in ggml_can_repeat const uint64_t ne0 = dst->ne[0]; const uint64_t ne1 = dst->ne[1]; @@ -2585,7 +2580,7 @@ static void ggml_vk_op_repeat(vk_context& ctx, const ggml_tensor * src0, const g } ggml_vk_sync_buffers(ctx); - ctx.s->buffer.copyBuffer(src_buf->buffer, dst_buf->buffer, copies); + ctx->s->buffer.copyBuffer(src_buf->buffer, dst_buf->buffer, copies); (void) src1; } @@ -2718,7 +2713,7 @@ void ggml_vk_print_tensor(const ggml_tensor * tensor, const char * name); #endif template -static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, const PC&& pc) { +static void ggml_vk_op_f32(vk_context * ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_op op, const PC&& pc) { #ifdef VK_DEBUG std::cerr << "ggml_vk_op_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", backend=" << src0->backend << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3]; if (src1 != nullptr) { @@ -2853,13 +2848,13 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml if (!use_src1 && op == GGML_OP_SOFT_MAX) { // Empty src1 is possible on soft_max, but the shader needs a buffer ggml_vk_sync_buffers(ctx); - ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_dispatch_pipeline(ctx, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else if (use_src1) { ggml_vk_sync_buffers(ctx); - ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_dispatch_pipeline(ctx, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_Y, y_buf_offset, y_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else { ggml_vk_sync_buffers(ctx); - ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_dispatch_pipeline(ctx, *pipeline, { { *d_X, x_buf_offset, x_sz }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } if (dst->backend == GGML_BACKEND_CPU && op == GGML_OP_CPY) { ggml_vk_d2h_tensor_2d(ctx, d_D, 0, dst); @@ -2897,13 +2892,13 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml if (!use_src1 && op == GGML_OP_SOFT_MAX) { // Empty src1 is possible on soft_max, but the shader needs a buffer ggml_vk_sync_buffers(ctx); - ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_dispatch_pipeline(ctx, *pipeline, { { *d_X, x_buf_offset, x_sz }, { vk_prealloc_y, 0, vk_prealloc_y.size }, { *d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements); } else if (use_src1) { ggml_vk_sync_buffers(ctx); - ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_dispatch_pipeline(ctx, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_Y, y_buf_offset + y_offset, y_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); } else { ggml_vk_sync_buffers(ctx); - ggml_vk_dispatch_pipeline(*ctx.s, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); + ggml_vk_dispatch_pipeline(ctx, *pipeline, { { *d_X, x_buf_offset + x_offset, x_sz }, { *d_D, d_buf_offset + d_offset, d_sz } }, sizeof(PC), &pc, elements); } if (dst->backend == GGML_BACKEND_CPU) { // copy dst to host @@ -2914,37 +2909,37 @@ static void ggml_vk_op_f32(vk_context& ctx, const ggml_tensor * src0, const ggml } } -static void ggml_vk_repeat(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_repeat(vk_context * ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_REPEAT, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); } -static void ggml_vk_get_rows(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_get_rows(vk_context * ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_GET_ROWS, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); } -static void ggml_vk_add(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_add(vk_context * ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_ADD, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); } -static void ggml_vk_mul(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_mul(vk_context * ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_MUL, { (uint32_t)ggml_nelements(src0), (uint32_t)ggml_nelements(src1), 0.0f, 0.0f }); } -static void ggml_vk_scale(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { +static void ggml_vk_scale(vk_context * ctx, const ggml_tensor * src0, ggml_tensor * dst) { float * op_params = (float *)dst->op_params; ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_SCALE, { (uint32_t)ggml_nelements(src0), 0, op_params[0], 0.0f }); } -static void ggml_vk_sqr(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { +static void ggml_vk_sqr(vk_context * ctx, const ggml_tensor * src0, ggml_tensor * dst) { ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_SQR, { (uint32_t)ggml_nelements(src0), 0, 0.0f, 0.0f }); } -static void ggml_vk_clamp(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { +static void ggml_vk_clamp(vk_context * ctx, const ggml_tensor * src0, ggml_tensor * dst) { float * op_params = (float *)dst->op_params; ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_CLAMP, { (uint32_t)ggml_nelements(src0), 0, op_params[0], op_params[1] }); } -static void ggml_vk_cpy(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { +static void ggml_vk_cpy(vk_context * ctx, const ggml_tensor * src0, ggml_tensor * dst) { ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra; const int src0_type_size = ggml_type_size(src0->type); const int dst_type_size = ggml_type_size(dst->type); @@ -2957,30 +2952,30 @@ static void ggml_vk_cpy(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * }); } -static void ggml_vk_norm(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { +static void ggml_vk_norm(vk_context * ctx, const ggml_tensor * src0, ggml_tensor * dst) { ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_NORM, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], 0.0f, 0.0f }); } -static void ggml_vk_rms_norm(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { +static void ggml_vk_rms_norm(vk_context * ctx, const ggml_tensor * src0, ggml_tensor * dst) { float * op_params = (float *)dst->op_params; ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_RMS_NORM, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], op_params[0], 0.0f }); } -static void ggml_vk_unary(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { +static void ggml_vk_unary(vk_context * ctx, const ggml_tensor * src0, ggml_tensor * dst) { ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_UNARY, { (uint32_t)ggml_nelements(src0), 0, 0.0f, 0.0f }); } -static void ggml_vk_diag_mask_inf(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { +static void ggml_vk_diag_mask_inf(vk_context * ctx, const ggml_tensor * src0, ggml_tensor * dst) { int32_t * op_params = (int32_t *)dst->op_params; ggml_vk_op_f32(ctx, src0, nullptr, dst, GGML_OP_DIAG_MASK_INF, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], op_params[0] }); } -static void ggml_vk_soft_max(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_soft_max(vk_context * ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { float * op_params = (float *)dst->op_params; ggml_vk_op_f32(ctx, src0, src1, dst, GGML_OP_SOFT_MAX, { (uint32_t)src0->ne[0], (uint32_t)(src1 != nullptr ? ggml_nrows(src1) : 0), op_params[0], 0.0f }); } -static void ggml_vk_rope(vk_context& ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { +static void ggml_vk_rope(vk_context * ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) { const int n_dims = ((int32_t *) dst->op_params)[1]; const int mode = ((int32_t *) dst->op_params)[2]; // const int n_ctx = ((int32_t *) dst->op_params)[3]; @@ -3009,7 +3004,7 @@ static void ggml_vk_rope(vk_context& ctx, const ggml_tensor * src0, const ggml_t } } -static void ggml_vk_nop(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * dst) { +static void ggml_vk_nop(vk_context * ctx, const ggml_tensor * src0, ggml_tensor * dst) { // If backend is CPU, data from src0 has to be copied off the device if (dst->backend == GGML_BACKEND_CPU) { ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra; @@ -3020,10 +3015,13 @@ static void ggml_vk_nop(vk_context& ctx, const ggml_tensor * src0, ggml_tensor * } #ifdef VK_RUN_TESTS -void ggml_vk_print_matrix_area(const void * data, ggml_type type, int ne0, int ne1, int i0, int i1, int i2) { +static void ggml_vk_print_matrix_area(const void * data, ggml_type type, int ne0, int ne1, int i0, int i1, int i2) { if (type != GGML_TYPE_F32 && type != GGML_TYPE_F16) { return; } + i0 = std::max(i0, 5); + i1 = std::max(i1, 5); + i2 = std::max(i2, 0); fprintf(stderr, " "); for (int idx1 = i1 - 5; idx1 < i1 + 5; idx1++) { fprintf(stderr, "%7d ", idx1); @@ -3035,9 +3033,9 @@ void ggml_vk_print_matrix_area(const void * data, ggml_type type, int ne0, int n if (idx0 >= 0 && idx0 < ne0 && idx1 >= 0 && idx1 < ne1) { float val; if (type == GGML_TYPE_F32) { - val = *((float *) data + i2*ne1*ne0 + idx1*ne0 + idx0); + val = *((const float *) data + i2*ne1*ne0 + idx1*ne0 + idx0); } else if (type == GGML_TYPE_F16) { - val = ggml_fp16_to_fp32(*((ggml_fp16_t *) data + i2*ne1*ne0 + idx1*ne0 + idx0)); + val = ggml_fp16_to_fp32(*((const ggml_fp16_t *) data + i2*ne1*ne0 + idx1*ne0 + idx0)); } fprintf(stderr, "% 7.2f ", val); } else { @@ -3049,7 +3047,7 @@ void ggml_vk_print_matrix_area(const void * data, ggml_type type, int ne0, int n } template -void ggml_vk_test_matmul(size_t m, size_t n, size_t k, size_t batch, size_t num_it, int split_k, int shader_size) { +static void ggml_vk_test_matmul(size_t m, size_t n, size_t k, size_t batch, size_t num_it, int split_k, int shader_size) { #ifdef VK_DEBUG std::cerr << "ggml_vk_test_matmul(" << m << ", " << n << ", " << k << ", " << batch << ", " << num_it << ", " << split_k << ", " << shader_size << ")" << std::endl; #endif @@ -3057,8 +3055,6 @@ void ggml_vk_test_matmul(size_t m, size_t n, size_t k, size_t batch, size_t num_ const size_t y_ne = k * n * batch; const size_t d_ne = m * n * batch; - std::vector seq; - vk_pipeline * p; std::string shname; if (shader_size == 0) { @@ -3147,7 +3143,7 @@ void ggml_vk_test_matmul(size_t m, size_t n, size_t k, size_t batch, size_t num_ if (split_k > 1) { ggml_vk_pipeline_allocate_descriptor_sets(vk_pipeline_matmul_split_k_reduce, num_it); - if (vk_prealloc_split_k.size < sizeof(float) * d_ne) { + if (vk_prealloc_split_k.size < sizeof(float) * d_ne * split_k) { // Resize buffer if (vk_prealloc_split_k.size > 0) { ggml_vk_destroy_buffer(vk_prealloc_split_k); @@ -3166,55 +3162,53 @@ void ggml_vk_test_matmul(size_t m, size_t n, size_t k, size_t batch, size_t num_ for (size_t i = 0; i < x_ne; i++) { if (std::is_same()) { - x[i] = 1.0f; // (rand() / (float)RAND_MAX) * 2.0f - 1.0f; + x[i] = (rand() / (float)RAND_MAX) * 2.0f - 1.0f; } else if (std::is_same()) { - x[i] = ggml_fp32_to_fp16(1.0f); // ggml_fp32_to_fp16((rand() / (float)RAND_MAX) * 2.0f - 1.0f); + x[i] = ggml_fp32_to_fp16((rand() / (float)RAND_MAX) * 2.0f - 1.0f); } else { GGML_ASSERT(false); } } for (size_t i = 0; i < y_ne; i++) { if (std::is_same()) { - y[i] = 1.0f; // (rand() / (float)RAND_MAX) * 2.0f - 1.0f; + y[i] = (rand() / (float)RAND_MAX) * 2.0f - 1.0f; } else if (std::is_same()) { - y[i] = ggml_fp32_to_fp16(1.0f); // ggml_fp32_to_fp16((rand() / (float)RAND_MAY) * 2.0f - 1.0f); + y[i] = ggml_fp32_to_fp16((rand() / (float)RAND_MAX) * 2.0f - 1.0f); } else { GGML_ASSERT(false); } } - seq.push_back(ggml_vk_buffer_write_2d_async(&d_X, 0, x, sizeof(X_TYPE) * k, sizeof(X_TYPE) * k, m * batch, vk_device.transfer_queue, {}, {})); - seq.push_back(ggml_vk_buffer_write_2d_async(&d_Y, 0, y, sizeof(Y_TYPE) * k, sizeof(Y_TYPE) * k, n * batch, vk_device.transfer_queue, {}, {})); - - ggml_vk_submit(vk_device.transfer_queue, seq, VK_NULL_HANDLE); - - // Wait for transfers to finish - vk_device.transfer_queue.queue.waitIdle(); - - auto begin = std::chrono::high_resolution_clock::now(); + ggml_vk_buffer_write(&d_X, 0, x, sizeof(X_TYPE) * k * m * batch); + ggml_vk_buffer_write(&d_Y, 0, y, sizeof(Y_TYPE) * k * n * batch); + vk_context * ctx = ggml_vk_create_context(vk_device.compute_queue); for (size_t i = 0; i < num_it; i++) { - seq.push_back(ggml_vk_matmul(*p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), ggml_vk_subbuffer(vk_prealloc_split_k), m, n, k, k, k, m, split_k, 0, batch, batch, batch, 1, 1, k*m, k*n, m*n, vk_device.compute_queue, {}, {})); + ggml_vk_ctx_begin(ctx); + ggml_vk_matmul(ctx, *p, ggml_vk_subbuffer(d_X), ggml_vk_subbuffer(d_Y), ggml_vk_subbuffer(d_D), ggml_vk_subbuffer(vk_prealloc_split_k), m, n, k, k, k, m, split_k, batch, batch, batch, 1, 1, k*m, k*n, m*n); + ggml_vk_ctx_end(ctx); } - ggml_vk_submit(vk_device.compute_queue, seq, VK_NULL_HANDLE); - - vk_device.compute_queue.queue.waitIdle(); + auto begin = std::chrono::high_resolution_clock::now(); + ggml_vk_submit(ctx, vk_fence); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "ggml_vk_test_matmul waitForFences"); + vk_device.device.resetFences({ vk_fence }); auto end = std::chrono::high_resolution_clock::now(); + double time = std::chrono::duration_cast(end-begin).count() / 1000.0; // copy dst to host - ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne, vk_device.transfer_queue); + ggml_vk_buffer_read(&d_D, 0, d, sizeof(float) * d_ne); float * d_chk = (float *) malloc(sizeof(float) * d_ne); ggml_init_params iparams = { - .mem_size = 1024*1024*1024, - .mem_buffer = NULL, - .no_alloc = true, + /*.mem_size =*/ 1024*1024*1024, + /*.mem_buffer =*/ NULL, + /*.no_alloc =*/ true, }; - ggml_context * ctx = ggml_init(iparams); + ggml_context * ggml_ctx = ggml_init(iparams); ggml_type src0_type; ggml_type src1_type; @@ -3234,20 +3228,24 @@ void ggml_vk_test_matmul(size_t m, size_t n, size_t k, size_t batch, size_t num_ GGML_ASSERT(false); } - ggml_tensor * src0_ggml = ggml_new_tensor_3d(ctx, src0_type, k, m, batch); - ggml_tensor * src1_ggml = ggml_new_tensor_3d(ctx, src1_type, k, n, batch); - ggml_tensor * tensor_ggml = ggml_mul_mat(ctx, src0_ggml, src1_ggml); + ggml_tensor * src0_ggml = ggml_new_tensor_3d(ggml_ctx, src0_type, k, m, batch); + ggml_tensor * src1_ggml = ggml_new_tensor_3d(ggml_ctx, src1_type, k, n, batch); + ggml_tensor * tensor_ggml = ggml_mul_mat(ggml_ctx, src0_ggml, src1_ggml); src0_ggml->data = x; src1_ggml->data = y; tensor_ggml->data = d_chk; - ggml_cgraph * cgraph = ggml_new_graph(ctx); + vk_disable = true; + + ggml_cgraph * cgraph = ggml_new_graph(ggml_ctx); ggml_build_forward_expand(cgraph, tensor_ggml); - ggml_graph_compute_with_ctx(ctx, cgraph, 1); + ggml_graph_compute_with_ctx(ggml_ctx, cgraph, 1); - ggml_free(ctx); + vk_disable = false; + + ggml_free(ggml_ctx); double avg_err = 0.0; int first_err_n = -1; @@ -3260,37 +3258,37 @@ void ggml_vk_test_matmul(size_t m, size_t n, size_t k, size_t batch, size_t num_ if (err > 0.05f && first_err_n == -1) { first_err_b = i / (m * n); - first_err_m = (i % (m * n)) / n; - first_err_n = (i % (m * n)) % n; + first_err_n = (i % (m * n)) / m; + first_err_m = (i % (m * n)) % m; } } avg_err /= m * n; - std::cerr << "TEST " << shname << " m=" << m << " n=" << n << " k=" << k << " batch=" << batch << " split_k=" << split_k << " matmul " << std::chrono::duration_cast(end-begin).count() / 1000.0 / num_it << "ms avg_err=" << avg_err << std::endl; + std::cerr << "TEST " << shname << " m=" << m << " n=" << n << " k=" << k << " batch=" << batch << " split_k=" << split_k << " matmul " << time / num_it << "ms avg_err=" << avg_err << std::endl; if (avg_err > 0.1) { - std::cerr << "n = " << first_err_n << " m = " << first_err_m << " b = " << first_err_b << std::endl; + std::cerr << "m = " << first_err_m << " n = " << first_err_n << " b = " << first_err_b << std::endl; std::cerr << "Actual result: " << std::endl << std::endl; - ggml_vk_print_matrix_area(d, GGML_TYPE_F32, n, m, first_err_n, first_err_m, first_err_b); + ggml_vk_print_matrix_area(d, GGML_TYPE_F32, m, n, first_err_m, first_err_n, first_err_b); std::cerr << "Expected result: " << std::endl << std::endl; - ggml_vk_print_matrix_area(d_chk, GGML_TYPE_F32, n, m, first_err_n, first_err_m, first_err_b); + ggml_vk_print_matrix_area(d_chk, GGML_TYPE_F32, m, n, first_err_m, first_err_n, first_err_b); if (split_k > 1) { float * split_k_buf = (float *) malloc(sizeof(float) * d_ne * split_k); - ggml_vk_buffer_read(&vk_prealloc_split_k, 0, split_k_buf, sizeof(float) * d_ne * split_k, vk_device.transfer_queue); + ggml_vk_buffer_read(&vk_prealloc_split_k, 0, split_k_buf, sizeof(float) * d_ne * split_k); std::cerr << "d_buf0: " << std::endl << std::endl; - ggml_vk_print_matrix_area(split_k_buf, GGML_TYPE_F32, n, m, first_err_n, first_err_m, first_err_b); + ggml_vk_print_matrix_area(split_k_buf, GGML_TYPE_F32, m, n, first_err_m, first_err_n, first_err_b); std::cerr << "d_buf1: " << std::endl << std::endl; - ggml_vk_print_matrix_area(split_k_buf + m * n, GGML_TYPE_F32, n, m, first_err_n, first_err_m, first_err_b); + ggml_vk_print_matrix_area(split_k_buf + d_ne, GGML_TYPE_F32, m, n, first_err_m, first_err_n, first_err_b); std::cerr << "d_buf2: " << std::endl << std::endl; - ggml_vk_print_matrix_area(split_k_buf + 2 * m * n, GGML_TYPE_F32, n, m, first_err_n, first_err_m, first_err_b); + ggml_vk_print_matrix_area(split_k_buf + 2 * d_ne, GGML_TYPE_F32, m, n, first_err_m, first_err_n, first_err_b); std::cerr << "d_buf3: " << std::endl << std::endl; - ggml_vk_print_matrix_area(split_k_buf + 3 * m * n, GGML_TYPE_F32, n, m, first_err_n, first_err_m, first_err_b); + ggml_vk_print_matrix_area(split_k_buf + 3 * d_ne, GGML_TYPE_F32, m, n, first_err_m, first_err_n, first_err_b); free(split_k_buf); } @@ -3313,7 +3311,7 @@ void ggml_vk_test_matmul(size_t m, size_t n, size_t k, size_t batch, size_t num_ free(d); } -void ggml_vk_print_tensor_area(const ggml_tensor * tensor, int i0, int i1, int i2, int i3) { +static void ggml_vk_print_tensor_area(const ggml_tensor * tensor, int i0, int i1, int i2, int i3) { if (tensor->type != GGML_TYPE_F32 && tensor->type != GGML_TYPE_F16) { return; } @@ -3341,19 +3339,19 @@ void ggml_vk_print_tensor_area(const ggml_tensor * tensor, int i0, int i1, int i } } -void ggml_vk_test_h2d_nc(size_t ne0, size_t ne1, size_t ne2, size_t ne3) { +static void ggml_vk_test_h2d_nc(size_t ne0, size_t ne1, size_t ne2, size_t ne3) { const size_t ne = ne0 * ne1 * ne2 * ne3; ggml_init_params iparams = { - .mem_size = 1024*1024*1024, - .mem_buffer = NULL, - .no_alloc = true, + /*.mem_size =*/ 1024*1024*1024, + /*.mem_buffer =*/ NULL, + /*.no_alloc =*/ true, }; - ggml_context * ctx = ggml_init(iparams); + ggml_context * ggml_ctx = ggml_init(iparams); - ggml_tensor * tensor = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, ne0, ne2, ne1, ne3); - ggml_tensor * result_tensor = ggml_new_tensor_4d(ctx, GGML_TYPE_F32, ne0, ne1, ne2, ne3); + ggml_tensor * tensor = ggml_new_tensor_4d(ggml_ctx, GGML_TYPE_F32, ne0, ne2, ne1, ne3); // NOLINT + ggml_tensor * result_tensor = ggml_new_tensor_4d(ggml_ctx, GGML_TYPE_F32, ne0, ne1, ne2, ne3); float * data = (float *) ggml_vk_host_malloc(ggml_nbytes(tensor)); tensor->data = data; @@ -3375,16 +3373,19 @@ void ggml_vk_test_h2d_nc(size_t ne0, size_t ne1, size_t ne2, size_t ne3) { data[i] = (rand() / (float)RAND_MAX) * 2.0f - 1.0f; } - vk_buffer buffer = ggml_vk_create_buffer(ggml_nbytes(tensor), vk::MemoryPropertyFlagBits::eDeviceLocal); + vk_context * ctx = ggml_vk_create_context(vk_device.compute_queue); + ggml_vk_ctx_begin(ctx); - std::vector seqs; - seqs.push_back(ggml_vk_h2d_tensor_2d(&buffer, 0, tensor, 0, 0, ggml_nrows(tensor), vk_device.transfer_queue, {}, {}, nullptr, nullptr)); + vk_buffer buffer = ggml_vk_create_buffer(ggml_nbytes(tensor), vk::MemoryPropertyFlagBits::eDeviceLocal); - ggml_vk_submit(vk_device.transfer_queue, seqs, VK_NULL_HANDLE); + ggml_vk_h2d_tensor_2d(ctx, &buffer, 0, tensor, 0, 0, ggml_nrows(tensor)); - vk_device.transfer_queue.queue.waitIdle(); + ggml_vk_ctx_end(ctx); + ggml_vk_submit(ctx, vk_fence); + VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "ggml_vk_compute_forward waitForFences"); + vk_device.device.resetFences({ vk_fence }); - ggml_vk_buffer_read(&buffer, 0, result_data, ggml_nbytes(tensor), vk_device.transfer_queue); + ggml_vk_buffer_read(&buffer, 0, result_data, ggml_nbytes(tensor)); double avg_err = 0.0; int first_err_i0 = -1; @@ -3425,7 +3426,7 @@ void ggml_vk_test_h2d_nc(size_t ne0, size_t ne1, size_t ne2, size_t ne3) { ggml_vk_print_tensor_area(tensor, first_err_i0, first_err_i1, first_err_i2, first_err_i3); } - ggml_free(ctx); + ggml_free(ggml_ctx); ggml_vk_destroy_buffer(buffer); @@ -3433,7 +3434,7 @@ void ggml_vk_test_h2d_nc(size_t ne0, size_t ne1, size_t ne2, size_t ne3) { free(result_data); } -void ggml_vk_test_transfer(size_t ne, bool pinned) { +static void ggml_vk_test_transfer(size_t ne, bool pinned) { #ifdef VK_DEBUG std::cerr << "ggml_vk_test_transfer(" << ne << ")" << std::endl; #endif @@ -3454,20 +3455,20 @@ void ggml_vk_test_transfer(size_t ne, bool pinned) { x[i] = rand() / (float)RAND_MAX; } - std::vector memcpys; - std::vector seqs; + vk_context * ctx = ggml_vk_create_context(vk_device.compute_queue); + ggml_vk_ctx_begin(ctx); auto begin = std::chrono::high_resolution_clock::now(); - seqs.push_back(ggml_vk_buffer_write_async(&buffer, 0, x, sizeof(float) * ne, vk_device.transfer_queue, {}, {}, nullptr, &memcpys)); + ggml_vk_buffer_write_async(ctx, &buffer, 0, x, sizeof(float) * ne); - for (auto& cpy : memcpys) { + for (auto& cpy : ctx->in_memcpys) { memcpy(cpy.dst, cpy.src, cpy.n); } - memcpys.clear(); - - ggml_vk_submit(vk_device.transfer_queue, seqs, vk_fence); + ctx->in_memcpys.clear(); + ggml_vk_ctx_end(ctx); + ggml_vk_submit(ctx, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "ggml_vk_compute_forward waitForFences"); vk_device.device.resetFences({ vk_fence }); @@ -3475,19 +3476,21 @@ void ggml_vk_test_transfer(size_t ne, bool pinned) { double ms_to_gpu = std::chrono::duration_cast(end-begin).count() / 1000.0; - begin = std::chrono::high_resolution_clock::now(); + ggml_vk_ctx_begin(ctx); - seqs.push_back(ggml_vk_buffer_read_async(&buffer, 0, y, sizeof(float) * ne, vk_device.transfer_queue, {}, {}, nullptr, &memcpys)); + begin = std::chrono::high_resolution_clock::now(); - ggml_vk_submit(vk_device.transfer_queue, seqs, vk_fence); + ggml_vk_buffer_read_async(ctx, &buffer, 0, y, sizeof(float) * ne); + ggml_vk_ctx_end(ctx); + ggml_vk_submit(ctx, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "ggml_vk_compute_forward waitForFences"); vk_device.device.resetFences({ vk_fence }); - for (auto& cpy : memcpys) { + for (auto& cpy : ctx->out_memcpys) { memcpy(cpy.dst, cpy.src, cpy.n); } - memcpys.clear(); + ctx->out_memcpys.clear(); end = std::chrono::high_resolution_clock::now(); @@ -3524,22 +3527,6 @@ static ggml_tensor_extra_gpu * ggml_vk_tensor_create_extra(ggml_tensor * tensor) return extra; } -// TODO: Still needed? -static void ggml_vk_tensor_stride_order(const ggml_tensor * tensor, std::array& order) { - order = {-1, -1, -1, -1}; - for (int i = 0; i < 4; i++){ - size_t val = std::numeric_limits::max(); - uint32_t idx; - for (int j = 0; j < 4; j++){ - if(tensor->nb[j] < val && std::find(std::begin(order), std::end(order), j) == std::end(order)) { - val = tensor->nb[j]; - idx = j; - } - } - order[i] = idx; - } -} - static ggml_tensor * ggml_vk_find_last_use(const ggml_tensor * node, ggml_cgraph * graph) { GGML_ASSERT(node != nullptr); @@ -3594,9 +3581,7 @@ void ggml_vk_preallocate_buffers_graph(ggml_tensor * node){ int split_k; if (node->op == GGML_OP_MUL_MAT) { - const int kpad = ggml_vk_align_size(ne10, ggml_vk_guess_matmul_pipeline_align(ne01, ne11)); - const bool aligned = ne10 == kpad; - split_k = ggml_vk_guess_split_k(ne01, ne11, ne10, aligned); + split_k = ggml_vk_guess_split_k(ne01, ne11, ne10); } else { split_k = 1; } @@ -3681,11 +3666,12 @@ void ggml_vk_preallocate_buffers() { std::cerr << "qx_size: " << vk_prealloc_size_qx << " qy_size: " << vk_prealloc_size_qy << " x_size: " << vk_prealloc_size_x << " y_size: " << vk_prealloc_size_y << " split_k_size: " << vk_prealloc_size_split_k << std::endl; #endif #if defined(VK_RUN_TESTS) - ggml_vk_test_transfer(8192, false); - ggml_vk_test_transfer(8192, true); - ggml_vk_test_h2d_nc(100, 512, 32, 1); + vk_staging = ggml_vk_create_buffer(100ul * 1024ul * 1024ul, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached); + ggml_vk_test_transfer(8192 * 1000, false); + ggml_vk_test_transfer(8192 * 1000, true); const std::vector vals { + 8, 8, 8, 100, 46, 576, 623, 111, 128, 100, 46, 558, @@ -3707,14 +3693,14 @@ void ggml_vk_preallocate_buffers() { 4096, 512, 11008, 32000, 512, 4096, }; - const size_t num_it = 100; + const size_t num_it = 1; for (size_t i = 0; i < vals.size(); i += 3) { ggml_vk_test_matmul(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 1, 0); - // ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 0); ggml_vk_test_matmul(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 1, 1); - // ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 1); ggml_vk_test_matmul(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 1, 2); - // ggml_vk_test_matmul_f32(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 2); + ggml_vk_test_matmul(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 0); + ggml_vk_test_matmul(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 1); + ggml_vk_test_matmul(vals[i], vals[i + 1], vals[i + 2], 2, num_it, 4, 2); std::cerr << std::endl; } @@ -3828,42 +3814,42 @@ void ggml_vk_build_graph(ggml_tensor * node, bool last_node){ if (vk_ctx == nullptr) { vk_ctx = ggml_vk_create_context(vk_device.compute_queue); - ggml_vk_ctx_begin(*vk_ctx); + ggml_vk_ctx_begin(vk_ctx); } switch (node->op) { case GGML_OP_REPEAT: - ggml_vk_repeat(*vk_ctx, src0, src1, node); + ggml_vk_repeat(vk_ctx, src0, src1, node); break; case GGML_OP_GET_ROWS: - ggml_vk_get_rows(*vk_ctx, src0, src1, node); + ggml_vk_get_rows(vk_ctx, src0, src1, node); break; case GGML_OP_ADD: - ggml_vk_add(*vk_ctx, src0, src1, node); + ggml_vk_add(vk_ctx, src0, src1, node); break; case GGML_OP_MUL: - ggml_vk_mul(*vk_ctx, src0, src1, node); + ggml_vk_mul(vk_ctx, src0, src1, node); break; case GGML_OP_SCALE: - ggml_vk_scale(*vk_ctx, src0, node); + ggml_vk_scale(vk_ctx, src0, node); break; case GGML_OP_SQR: - ggml_vk_sqr(*vk_ctx, src0, node); + ggml_vk_sqr(vk_ctx, src0, node); break; case GGML_OP_CLAMP: - ggml_vk_clamp(*vk_ctx, src0, node); + ggml_vk_clamp(vk_ctx, src0, node); break; case GGML_OP_CPY: case GGML_OP_CONT: case GGML_OP_DUP: - ggml_vk_cpy(*vk_ctx, src0, node); + ggml_vk_cpy(vk_ctx, src0, node); break; case GGML_OP_RESHAPE: @@ -3871,15 +3857,15 @@ void ggml_vk_build_graph(ggml_tensor * node, bool last_node){ case GGML_OP_PERMUTE: case GGML_OP_TRANSPOSE: case GGML_OP_NONE: - ggml_vk_nop(*vk_ctx, src0, node); + ggml_vk_nop(vk_ctx, src0, node); break; case GGML_OP_NORM: - ggml_vk_norm(*vk_ctx, src0, node); + ggml_vk_norm(vk_ctx, src0, node); break; case GGML_OP_RMS_NORM: - ggml_vk_rms_norm(*vk_ctx, src0, node); + ggml_vk_rms_norm(vk_ctx, src0, node); break; case GGML_OP_UNARY: @@ -3887,26 +3873,26 @@ void ggml_vk_build_graph(ggml_tensor * node, bool last_node){ case GGML_UNARY_OP_SILU: case GGML_UNARY_OP_GELU: case GGML_UNARY_OP_RELU: - ggml_vk_unary(*vk_ctx, src0, node); + ggml_vk_unary(vk_ctx, src0, node); break; default: return; } break; case GGML_OP_DIAG_MASK_INF: - ggml_vk_diag_mask_inf(*vk_ctx, src0, node); + ggml_vk_diag_mask_inf(vk_ctx, src0, node); break; case GGML_OP_SOFT_MAX: - ggml_vk_soft_max(*vk_ctx, src0, src1, node); + ggml_vk_soft_max(vk_ctx, src0, src1, node); break; case GGML_OP_ROPE: - ggml_vk_rope(*vk_ctx, src0, src1, node); + ggml_vk_rope(vk_ctx, src0, src1, node); break; case GGML_OP_MUL_MAT: - ggml_vk_mul_mat(*vk_ctx, src0, src1, node); + ggml_vk_mul_mat(vk_ctx, src0, src1, node); break; default: @@ -3923,7 +3909,7 @@ void ggml_vk_build_graph(ggml_tensor * node, bool last_node){ #endif if (node->backend == GGML_BACKEND_CPU || last_node) { - ggml_vk_ctx_end(*vk_ctx); + ggml_vk_ctx_end(vk_ctx); vk_ctx->exit_tensor = node; vk_ctx = nullptr; } @@ -4016,7 +4002,7 @@ bool ggml_vk_compute_forward(ggml_compute_params * params, ggml_tensor * tensor) memcpy(cpy.dst, cpy.src, cpy.n); } - ggml_vk_submit(ctx, vk_fence); + ggml_vk_submit(&ctx, vk_fence); } if (tensor == ctx.exit_tensor) { @@ -4411,10 +4397,10 @@ GGML_CALL static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, g if (vk_ctx == nullptr) { // Initialize new transfer context vk_ctx = ggml_vk_create_context(vk_device.transfer_queue); - ggml_vk_ctx_begin(*vk_ctx); + ggml_vk_ctx_begin(vk_ctx); } - ggml_vk_buffer_write_async(*vk_ctx, &extra->buffer_gpu, extra->offset + offset, data, size); + ggml_vk_buffer_write_async(vk_ctx, &extra->buffer_gpu, extra->offset + offset, data, size); UNUSED(backend); } @@ -4431,10 +4417,10 @@ GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, c if (vk_ctx == nullptr) { // Initialize new transfer context vk_ctx = ggml_vk_create_context(vk_device.transfer_queue); - ggml_vk_ctx_begin(*vk_ctx); + ggml_vk_ctx_begin(vk_ctx); } - ggml_vk_buffer_read_async(*vk_ctx, &extra->buffer_gpu, extra->offset + offset, data, size); + ggml_vk_buffer_read_async(vk_ctx, &extra->buffer_gpu, extra->offset + offset, data, size); UNUSED(backend); } @@ -4450,10 +4436,10 @@ GGML_CALL static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend, c if (vk_ctx == nullptr) { // Initialize new transfer context vk_ctx = ggml_vk_create_context(vk_device.transfer_queue); - ggml_vk_ctx_begin(*vk_ctx); + ggml_vk_ctx_begin(vk_ctx); } - ggml_vk_buffer_copy_async(*vk_ctx, &src_extra->buffer_gpu, src_extra->offset, &dst_extra->buffer_gpu, dst_extra->offset, ggml_nbytes(src)); + ggml_vk_buffer_copy_async(vk_ctx, &src_extra->buffer_gpu, src_extra->offset, &dst_extra->buffer_gpu, dst_extra->offset, ggml_nbytes(src)); return true; } @@ -4470,13 +4456,13 @@ GGML_CALL static void ggml_backend_vk_synchronize(ggml_backend_t backend) { return; } - ggml_vk_ctx_end(*vk_ctx); + ggml_vk_ctx_end(vk_ctx); for (auto& cpy : vk_ctx->in_memcpys) { memcpy(cpy.dst, cpy.src, cpy.n); } - ggml_vk_submit(*vk_ctx, vk_fence); + ggml_vk_submit(vk_ctx, vk_fence); VK_CHECK(vk_device.device.waitForFences({ vk_fence }, true, UINT64_MAX), "ggml_backend_vk_synchronize waitForFences"); vk_device.device.resetFences({ vk_fence }); diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py index d4fdac41f5a6b..d0861fde452c4 100644 --- a/ggml_vk_generate_shaders.py +++ b/ggml_vk_generate_shaders.py @@ -243,8 +243,6 @@ #extension GL_EXT_control_flow_attributes : enable #extension GL_EXT_shader_16bit_storage : require -#define WARP 32 - #ifndef LOAD_VEC #define LOAD_VEC 1 #endif @@ -266,7 +264,6 @@ uint stride_b; uint stride_d; uint k_split; - uint d_offset; uint ne02; uint ne12; @@ -286,6 +283,7 @@ layout (constant_id = 6) const uint WMITER = 2; layout (constant_id = 7) const uint TM = 4; layout (constant_id = 8) const uint TN = 2; +layout (constant_id = 9) const uint WARP = 32; shared FLOAT_TYPE buf_a[BM * (BK+1)]; shared FLOAT_TYPE buf_b[BN * (BK+1)]; @@ -299,9 +297,9 @@ const uint batch_idx_a = i03 * p.ne02 + i02; - const uint blocks_x = (p.M + BM - 1) / BM; - const uint ir = gl_WorkGroupID.x % blocks_x; - const uint ik = gl_WorkGroupID.x / blocks_x; + const uint blocks_m = (p.M + BM - 1) / BM; + const uint ir = gl_WorkGroupID.x % blocks_m; + const uint ik = gl_WorkGroupID.x / blocks_m; const uint ic = gl_WorkGroupID.y; const uint warp_i = gl_LocalInvocationID.x / WARP; @@ -354,7 +352,7 @@ buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_a[idx].z); buf_a[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_a[idx].w); #else - if (ir * BM + loadc + l < p.M && block + loadr < p.K) { + if (ir * BM + loadc + l < p.M && block + loadr < end_k) { buf_a[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(data_a[pos_a + (loadc + l) * p.stride_a + loadr]); } else { buf_a[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(0.0f); @@ -379,7 +377,7 @@ buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 2] = FLOAT_TYPE(data_b[idx].z); buf_b[(loadc + l) * (BK+1) + loadr * LOAD_VEC + 3] = FLOAT_TYPE(data_b[idx].w); #else - if (ic * BN + loadc + l < p.N && block + loadr < p.K) { + if (ic * BN + loadc + l < p.N && block + loadr < end_k) { buf_b[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(data_b[pos_b + (loadc + l) * p.stride_b + loadr]); } else { buf_b[(loadc + l) * (BK+1) + loadr] = FLOAT_TYPE(0.0f); @@ -422,7 +420,7 @@ const uint dr = ir * BM + warp_r * WM; const uint dc = ic * BN + warp_c * WN; - const uint k_split_offset = ik * p.M * p.N; + const uint offsets = gl_GlobalInvocationID.z * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z; [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) { [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) { @@ -432,7 +430,7 @@ [[unroll]] for (uint cc = 0; cc < TN; cc++) { [[unroll]] for (uint cr = 0; cr < TM; cr++) { if (dr_warp + cr < p.M && dc_warp + cc < p.N) { - data_d[p.d_offset + gl_GlobalInvocationID.z * p.batch_stride_d + k_split_offset + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]); + data_d[offsets + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]); } } } @@ -443,7 +441,9 @@ mulmat_split_k_reduce_src = """#version 450 -layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in; +#extension GL_EXT_control_flow_attributes : enable + +layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in; layout (binding = 0) readonly buffer A {float data_a[];}; layout (binding = 1) writeonly buffer D {float data_d[];}; @@ -451,7 +451,6 @@ layout (push_constant) uniform parameter { uint ne; uint k_num; - uint d_offset; } p; void main() { @@ -463,11 +462,11 @@ float result = 0.0f; - for (int i = 0; i < p.k_num; i++) { + [[unroll]] for (uint i = 0; i < p.k_num; i++) { result += data_a[i * p.ne + idx]; } - data_d[p.d_offset + idx] = result; + data_d[idx] = result; } """ From e3acca3acd8a82c1a1ee8082d9d372b0ad860d0e Mon Sep 17 00:00:00 2001 From: 0cc4m Date: Sun, 28 Jan 2024 17:23:42 +0100 Subject: [PATCH 141/142] Add get_max_size to SYCL backend. Co-authored-by: Georgi Gerganov --- ggml-sycl.cpp | 2 ++ 1 file changed, 2 insertions(+) diff --git a/ggml-sycl.cpp b/ggml-sycl.cpp index 9764d9c351516..3fc346975b182 100644 --- a/ggml-sycl.cpp +++ b/ggml-sycl.cpp @@ -14781,6 +14781,7 @@ static ggml_backend_buffer_type_i ggml_backend_sycl_buffer_type_interface = { /* .get_name = */ ggml_backend_sycl_buffer_type_name, /* .alloc_buffer = */ ggml_backend_sycl_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_sycl_buffer_type_get_alignment, + /* .get_max_size = */ NULL, // TODO: return device.maxBufferLength /* .get_alloc_size = */ ggml_backend_sycl_buffer_type_get_alloc_size, /* .supports_backend = */ ggml_backend_sycl_buffer_type_supports_backend, /* .is_host = */ nullptr, @@ -14844,6 +14845,7 @@ ggml_backend_buffer_type_t ggml_backend_sycl_host_buffer_type() { /* .get_name = */ ggml_backend_sycl_host_buffer_type_name, /* .alloc_buffer = */ ggml_backend_sycl_host_buffer_type_alloc_buffer, /* .get_alignment = */ ggml_backend_cpu_buffer_type()->iface.get_alignment, + /* .get_max_size = */ NULL, // TODO: return device.maxBufferLength /* .get_alloc_size = */ ggml_backend_cpu_buffer_type()->iface.get_alloc_size, /* .supports_backend = */ ggml_backend_cpu_buffer_type()->iface.supports_backend, /* .is_host = */ ggml_backend_cpu_buffer_type()->iface.is_host, From 10fbb1f33d1c7d6a9ee2c014af91288fc52895c4 Mon Sep 17 00:00:00 2001 From: Georgi Gerganov Date: Sun, 28 Jan 2024 18:58:35 +0200 Subject: [PATCH 142/142] llama : fix trailing whitespace --- llama.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/llama.cpp b/llama.cpp index 2da507ea1ca6a..f7d054c577aea 100644 --- a/llama.cpp +++ b/llama.cpp @@ -10248,7 +10248,7 @@ struct llama_context * llama_new_context_with_model( return nullptr; } ctx->backends.push_back(backend); - } + } #elif defined(GGML_USE_SYCL) if (model->n_gpu_layers > 0) { ggml_backend_t backend = ggml_backend_sycl_init(model->main_gpu);