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On my end (after some trial and error), versions that are lower than a specific set of 3.7 or higher than a specific set of 3.8 can't install the requirements. I think the biggest issue I'm running into is with scikit-learn.
The cuda issue I'm running into is because one of my projects runs locally on WSL which only supports CUDA after 11, so torch would run into issues communicating with the cuda kernel if I do end up installing as previous.
what version python3 and cuda was this used on
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