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aaca4987c9ffe12e9e486d40ae264859caed89df
Optimization of DNN using native RISC-V vector intrinsics. * Use RVV to optimize fastGEMM (FP32) in DNN. * Use RVV to optimize fastGEMM1T in DNN. * Use RVV to optimize fastConv in DNN. * Use RVV to optimize fastDepthwiseConv in DNN. * Vectorize tails using vl. * Use "vl" instead of scalar to handle small block in fastConv. * Fix memory access out of bound in "fastGEMM1T". * Remove setvl. * Remove useless initialization. * Use loop unrolling to handle tail part instead of switch.
OpenCV: Open Source Computer Vision Library
Resources
- Homepage: https://opencv.org
- Courses: https://opencv.org/courses
- Docs: https://docs.opencv.org/master/
- Q&A forum: https://forum.opencv.org
- previous forum (read only): http://answers.opencv.org
- Issue tracking: https://github.com/opencv/opencv/issues
- Additional OpenCV functionality: https://github.com/opencv/opencv_contrib
Contributing
Please read the contribution guidelines before starting work on a pull request.
Summary of the guidelines:
- One pull request per issue;
- Choose the right base branch;
- Include tests and documentation;
- Clean up "oops" commits before submitting;
- Follow the coding style guide.
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