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Make the implementation of optimization in DNN adjustable to different vector sizes with RVV intrinsics. by hanliutong · Pull Request #20521 · opencv/opencv · GitHub
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WIP: Make the implementation of optimization in DNN adjustable to different vector sizes with RVV intrinsics.
Make the implementation of optimization in DNN adjustable to different vector sizes with RVV intrinsics.
Aug 26, 2021
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Make the implementation of optimization in DNN adjustable to different vector sizes with RVV intrinsics. #20521
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👍 Tested with QEMU and vlen=128,256
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Make the implementation of optimization in DNN adjustable to different vector sizes with RVV intrinsics. * Update fastGEMM for multi VLEN. * Update fastGEMM1T for multi VLEN. * Update fastDepthwiseConv for multi VLEN. * Update fastConv for multi VLEN. * Replace malloc with cv::AutoBuffer.
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PR for GSoC'21 project on Optimize OpenCV DNN for RISC-V. Related PR #20287.
This PR will further optimize DNN on the basis of #20287, especially when VLEN>128.
In #20287, we have used RVV Intrinsic to optimize the 4 kernel functions in DNN. However, if RVV vectors are 256-bit wide or more longer, then the current implementation will use only a part of them. This PR tries to adjustable to different vector sizes.
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Patch to opencv_extra has the same branch name.