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Vulkan backend for NaryEltwiseLayer in DNN module #24768 We improve Vulkan backend for ``NaryEltwiseLayer`` in DNN module by: - add a basic framework for Vulkan backend in ``NaryEltwiseLayer`` - add a compute shader for binary forwarding (an imitation of what has been done in native OpenCV backend including broadcasting and eltwise-operation) - typo fixed: - Wrong info output in ``context.cpp`` Currently, our implementation (or all layers supporting Vulkan backend) runs pretty slow on discrete GPUs basically due to IO cost in function ``copyToHost``, and we are going to fix that by - find out the best ``VkMemoryProperty`` for various discrete GPUs - prevent ``copyToHost`` in middle layers during forwarding, (i.e keep data in GPU memory) ### 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 - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake Co-authored-by: IskXCr <IskXCr@outlook.com> |
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