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CUDA 10.1 #16
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Hello, are you also running this code? When you encounter that problem, you can try to create an environment first, and then install CUDA according to your server to see if it is compatible. The premise is that this code supports older CUDA versions. I have a problem that I have downloaded antelopev2, but I still go back to the website to download it when running. Have you met? If you encounter the same error, can you help me solve it? Thank you. |
The env file is using a nightly version of pytorch3d because I had problems with my RTX3090. One of the solutions would be to remove |
Thanks @Zielon, you were of great help :) I tested your proposal and it worked flawlessly. |
I think it´s better if you open a new issue describing problem you are facing in detail.
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Hi,
Thanks for the nice work you share, I find it very interesting.
I´m trying to install it but I found that I´m running a different cuda version 10.1.
The environment.yml in the repository installs newer version of cudatoolkit (11.3.1=h2bc3f7f_2) and this ends up in a pytorch3d error when running demo.py.
It looks related with this.
facebookresearch/pytorch3d#1013 (comment)
Some packages versions should be changed to adapt to the cuda version.
Could someone point me in the right direction?
Best regards.
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