ausk / DCNv2_latest

DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)

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DCNv2 latest

Since DCN is used in many models and performance well but in industry this op support is not very well. Including pytorch, onnx, tensorrt etc. This repo is make DCNv2 available at all versions in pytorch.

image-20210217183103121

Pytorch 1.7 inferenced in CenterNet-DLA model. It works on Pytorch 1.7 so that you can use it in your RTX 30 series cards.

Updates

  • 2021.03.24: It was confirmed PyTorch 1.8 is OK with master branch, feel free to use it.
  • 2021.02.18: Happy new year! PyTorch 1.7 finally supported on master branch! for lower version theoretically also works, if not, pls fire an issue to me!.
  • 2020.09.23: Now master branch works for pytorch 1.6 by default, for older version you gonna need separated one.
  • 2020.08.25: Check out pytorch1.6 branch for pytorch 1.6 support, you will meet an error like THCudaBlas_Sgemv undefined if you using pytorch 1.6 build master branch. master branch now work for pytorch 1.5;

Contact

If you have any question, please using this platform post questions: http://t.manaai.cn

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DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)

License:BSD 3-Clause "New" or "Revised" License


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Language:C++ 38.4%Language:Cuda 28.5%Language:Python 26.8%Language:C 6.3%Language:Shell 0.1%