vulkan: Add fusion support for RMS_NORM+MUL (#14366)
* vulkan: Add fusion support for RMS_NORM+MUL - Add a use_count to ggml_tensor, so we can detect if an output is used more than once. - Change the ggml-vulkan rms_norm shader to optionally multiply by another tensor. - Add detection logic and basic fusion logic in ggml-vulkan. - Add some testing support for fusion. Rather than computing one node at a time, allow for computing the whole graph and just testing one node's results. Add rms_norm_mul tests and enable a llama test. * extract some common fusion logic * fix -Winconsistent-missing-override * move ggml_can_fuse to a common function * build fix * C and C++ versions of can_fuse * move use count to the graph to avoid data races and double increments when used in multiple threads * use hash table lookup to find node index * change use_counts to be indexed by hash table slot * minimize hash lookups style fixes * last node doesn't need single use. fix type. handle mul operands being swapped. * remove redundant parameter --------- Co-authored-by: slaren <slarengh@gmail.com>
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@@ -497,7 +497,7 @@ void process_shaders() {
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// Norms
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string_to_spv("norm_f32", "norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}}));
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string_to_spv("group_norm_f32", "group_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}}));
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string_to_spv("rms_norm_f32", "rms_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}}));
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string_to_spv("rms_norm_f32", "rms_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
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string_to_spv("rms_norm_back_f32", "rms_norm_back.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}}));
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string_to_spv("l2_norm_f32", "l2_norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}}));
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