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Of course. You could roll back to commit cb4c4ec57098e718ab238cfc06ece2e28335c852. In that commit, a folder named cuda/ can be found in the root directory, including all the files such as setup.py and the source code you need. To compile the code (correctly), plz refer to README.md.
btw, resulting from some unclear bugs (might be that I didn't concat the original input to positional encodings), this commit failed to reproduce the results of the original paper, therefore the later versions of this repo abandoned CUDA implementation. Also, CUDA implementation is limitted to the following modules: 1. positional encoding; 2. image sampler; 3. inverse transform sampler; these CUDA implemented modules are all unit-tested, which should produce correct results, but they're not optimized therefore they might not be elegant or correct, plz be careful.
Hello expert! I VERY want to study cuda codes, can you provide codes of cuda?? Thank you very much!
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