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Resolve uncovered CUDA dnn layer #24080 ### Pull Request Readiness Checklist * Gelu activation layer on CUDA * Try to relax GEMM from ONNX resolves https://github.com/opencv/opencv/issues/24064 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_layer.cpp | ||
| perf_main.cpp | ||
| perf_net.cpp | ||
| perf_precomp.hpp | ||
| perf_recurrent.cpp | ||