ggml: adds CONV_2D op and direct GEMM Vulkan implementation (#14316)

* ggml/ggml-vulkan/test-backend-ops: adds CONV_2D for Vulkan

* ggml-vulkan: adds f32 scalar shader to compute 2D convolution directly
with gemm (no need for im2col),

* test-backend-ops: adds test_case_ref to check the validity/performance of ops
against reference implementations having different graphs, adds tests

* * Performance fixes: minimized branch divergence, uses collectives to
  eliminate redundant calculation, macros removed.

* Kernel shared memory size check

* Updates test-backend-ops to support graphs for performance
  measurement.

* * Apple/Win32 compile errors fixed

* Subgroup size used to determine tile size -> fixes llvmpipe errors.

* Collectives disabled by default.

* Intel support is disabled as the performance is poor.

* Conv2d enabled for Intel with disabled collectives, disabled for Apple

* test-backend-ops modifications are reverted

* Trailing spaces and missing override fixed.

* Triggering pipeline relaunch.

* Code formatted with .clang-format.
This commit is contained in:
Ervin Áron Tasnádi
2025-07-19 21:59:08 +02:00
committed by GitHub
parent 90083283ec
commit a979ca22db
4 changed files with 711 additions and 11 deletions

View File

@@ -655,6 +655,8 @@ void process_shaders() {
string_to_spv("opt_step_adamw_f32", "opt_step_adamw.comp", merge_maps(base_dict, {{"A_TYPE", "float"}}));
string_to_spv("conv2d_f32", "conv2d_mm.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"USE_COLLECTIVES", "1"}});
string_to_spv("conv2d_dw_whcn_f32", "conv2d_dw.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"WHCN", "1"}}));
string_to_spv("conv2d_dw_cwhn_f32", "conv2d_dw.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}, {"CWHN", "1"}}));