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RTX 3080 compatibility OSError: libcudart.so.10.2: cannot open shared object file: No such file or directory #2645
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Even if this is not a solution to your problem, I think that installing through anaconda is easier because it downloads everything that is needed. I have never found a problem in various ubuntu versions. |
Somehow, PyTorch is still looking for CUDA 10.2 when loading the extension package. This might be fixable by also setting |
thanks @scarpma yeah so I'm using conda and -c anaconda if a package is not available, I try conda-forge or other and my last resort is pip. However for pytorch-geometric I installed using the wheels as indicated on the docs. |
Oh, sorry, I didn't know what a wheel is. By the way I use rtx 3090 and it works fine. Sorry I can't help... |
I created a fresh environment (installed packages as described to @scarpma) and instead of setting the paths I run the cuda setup.sh and all is good now Torch version: 1.8.0 |
📚 Installation
Environment
Checklist
nvcc
.Additional context
nvidia-smi shows cuda version 11.2 and I tried 10.2 here and got this message when trying to use GPU.
I then tried 11.1 but now on import I'm getting the below
even after
No wheels for nightly PyTorch
Any suggestions please?
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