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CUDA Version issue #7
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Had the same issue. But reinstalling pytorch with cudatoolkit=10.1 fixed it for me. |
Thank you for the useful information. I'm running on Google Colab, so running the code below first solved the problem. !pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html Thank you. This problem has been resolved. |
Thank you for the useful information. I'm running on Google Colab, so running the code below first.
!pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html <https://download.pytorch.org/whl/torch_stable.html>
Thank you. This issue has been resolved.
… 2020/12/18 6:11、Rohith Pillai ***@***.***>のメール:
Had the same issue. But reinstalling pytorch with cudatoolkit=10.1 fixed it for me.
conda install pytorch==1.6.0 torchvision==0.7.0 cudatoolkit=10.1 -c pytorch
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This issue has been resolved. |
I'm trying to run demo on Google Colab, but I get the following error:
AssertionError:
The NVIDIA driver on your system is too old (found version 10010).
Please update your GPU driver by downloading and installing a new
version from the URL: http://www.nvidia.com/Download/index.aspx
Alternatively, go to: https://pytorch.org to install
a PyTorch version that has been compiled with your version
of the CUDA driver.
However, when I check the version with Nvidia-smi, it is CUDA version: 10.1, which is fine.
Is there any solution?
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