Extend multi-dimensional batched matmul support #2180
Merged
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Extended Batched Matrix Multiplication Support
Summary
Extend batched matrix multiplication to support N-dimensional tensors with NumPy-style broadcasting across all implementations (Pure, MKL, OpenBLAS, cuBLAS).
Changes
[12, 2, 64, 64] @ [12, 2, 64, 128])[b, m, k] @ [k, n]and[m, k] @ [b, k, n]New Capabilities
Files Modified
dace/libraries/blas/nodes/matmul.py: Extended_get_batchmm_opts()for N-D tensors and broadcastingdace/libraries/blas/nodes/batched_matmul.py: Updated validation and Pure expansion for dynamic dimensionsdace/frontend/python/replacements/linalg.py: Removed 3D tensor checktests/library/batched_matmul_test.py: Added tests for newly supported 3D/4D batched matmuls with broadcasting