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In the official repo, e.g. python-pytorch-cuda is always compatible with cuda(v13.1).
But in venv pytorch is installed by pip,
pytorch installed by
pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu130Is it compatible with cuda 13.1 in the official repo?
Is it better to use conda to make torch and cuda always compatible?
Or what is the best practice to install pytorch with cuda support in venv?
Last edited by jronald (Today 05:30:52)
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`pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu130` will install cuda 13.0 in venv
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