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I encountered this on a 2070super card, I'll verify that once again but I think this is still an issue that's kind of hard to fix, unless we let the user choose their own pytorch+cuda package.
This is likely caused by an incorrect cuda version (e.g.
nvidia-smi
reports gpu driver 11.7, the container uses 11.3).Hotfix:
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