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dnn: refactor ONNX MatMul with fastGemm #24694 Done: - [x] add backends - [x] CUDA - [x] OpenVINO - [x] CANN - [x] OpenCL - [x] Vulkan - [x] add perf tests - [x] const B case ### Benchmark Tests are done on M1. All data is in milliseconds (ms). | Configuration | MatMul (Prepacked) | MatMul | InnerProduct | | - | - | - | - | | A=[12, 197, 197], B=[12, 197, 64], trans_a=0, trans_b=0 | **0.39** | 0.41 | 1.33 | | A=[12, 197, 64], B=[12, 64, 197], trans_a=0, trans_b=0 | **0.42** | 0.42 | 1.17 | | A=[12, 50, 64], B=[12, 64, 50], trans_a=0, trans_b=0 | **0.13** | 0.15 | 0.33 | | A=[12, 50, 50], B=[12, 50, 64], trans_a=0, trans_b=0 | **0.11** | 0.13 | 0.22 | | A=[16, 197, 197], B=[16, 197, 64], trans_a=0, trans_b=0 | **0.46** | 0.54 | 1.46 | | A=[16, 197, 64], B=[16, 64, 197], trans_a=0, trans_b=0 | **0.46** | 0.95 | 1.74 | | A=[16, 50, 64], B=[16, 64, 50], trans_a=0, trans_b=0 | **0.18** | 0.32 | 0.43 | | A=[16, 50, 50], B=[16, 50, 64], trans_a=0, trans_b=0 | **0.15** | 0.25 | 0.25 | ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake |
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| .. | ||
| perf_caffe.cpp | ||
| perf_common.cpp | ||
| perf_convolution1d.cpp | ||
| perf_convolution3d.cpp | ||
| perf_convolution.cpp | ||
| perf_einsum.cpp | ||
| perf_gemm.cpp | ||
| perf_layer.cpp | ||
| perf_main.cpp | ||
| perf_net.cpp | ||
| perf_precomp.hpp | ||
| perf_recurrent.cpp | ||