Comments (2)
d-ailin
commented on September 28, 2024
Hi, I haven't tried it with the latest CUDA version(e.g. 11.1), but I think it would be best to be 10.2 as some packages(e.g., torch-geometric) require a specific environment.
Maybe you could set up the environment with conda:
# CUDA 10.2
conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=10.2 -c pytorch
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CaffreyR
commented on September 28, 2024
Hi, I haven't tried it with the latest CUDA version(e.g. 11.1), but I think it would be best to be 10.2 as some packages(e.g., torch-geometric) require a specific environment.
Maybe you could set up the environment with conda:
# CUDA 10.2 conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=10.2 -c p
Hi, I haven't tried it with the latest CUDA version(e.g. 11.1), but I think it would be best to be 10.2 as some packages(e.g., torch-geometric) require a specific environment.
Maybe you could set up the environment with conda:
# CUDA 10.2 conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=10.2 -c pytorch
Thanks for replying.OSError occurs when importing libs, probably the version problem.
I will try again later.
Thanks again.
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Related Issues (20)
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