mnist : adapt to opt changes

ggerganov · ggerganov · commit c765c8f2e177 · 2025-08-14T14:17:28.000+03:00
ggml-ci
diff --git a/examples/mnist/mnist-common.cpp b/examples/mnist/mnist-common.cpp
@@ -411,7 +411,7 @@ ggml_opt_result_t mnist_model_eval(mnist_model & model, ggml_opt_dataset_t datas
 
 void mnist_model_train(mnist_model & model, ggml_opt_dataset_t dataset, const int nepoch, const float val_split) {
     ggml_opt_fit(model.backend_sched, model.ctx_compute, model.images, model.logits, dataset,
-        GGML_OPT_LOSS_TYPE_CROSS_ENTROPY, ggml_opt_get_default_optimizer_params, nepoch, model.nbatch_logical, val_split, false);
+        GGML_OPT_LOSS_TYPE_CROSS_ENTROPY, GGML_OPT_OPTIMIZER_TYPE_ADAMW, ggml_opt_get_default_optimizer_params, nepoch, model.nbatch_logical, val_split, false);
 }
 
 void mnist_model_save(mnist_model & model, const std::string & fname) {

Original file line number	Diff line number	Diff line change
`@@ -411,7 +411,7 @@ ggml_opt_result_t mnist_model_eval(mnist_model & model, ggml_opt_dataset_t datas`
`411`	`411`
`412`	`412`	`void mnist_model_train(mnist_model & model, ggml_opt_dataset_t dataset, const int nepoch, const float val_split) {`
`413`	`413`	`ggml_opt_fit(model.backend_sched, model.ctx_compute, model.images, model.logits, dataset,`
`414`		`- GGML_OPT_LOSS_TYPE_CROSS_ENTROPY, ggml_opt_get_default_optimizer_params, nepoch, model.nbatch_logical, val_split, false);`
	`414`	`+ GGML_OPT_LOSS_TYPE_CROSS_ENTROPY, GGML_OPT_OPTIMIZER_TYPE_ADAMW, ggml_opt_get_default_optimizer_params, nepoch, model.nbatch_logical, val_split, false);`
`415`	`415`	`}`
`416`	`416`
`417`	`417`	`void mnist_model_save(mnist_model & model, const std::string & fname) {`