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Can I install pytorch_geometric without CUDA? If yes, how?

See original GitHub issue

📚 Installation

Environment

  • OS: Centos
  • Python version: 3.5
  • PyTorch version: 1.2.0 without cuda
  • CUDA/cuDNN version: None
  • GCC version:
  • How did you try to install PyTorch Geometric and its extensions (pip, source):
  • Any other relevant information: Can I install pytorch_geometric without CUDA? If yes, how?

Checklist

  • I followed the installation guide.
  • I cannot find my error message in the FAQ.
  • I set up CUDA correctly and can compile CUDA code via nvcc.
  • I have cloned the repository and tried a manual installation from source.
  • I do have multiple CUDA versions on my machine.
  • I checked if the official extension example runs on my machine.
  • The offical extension example runs on my machine.

Additional context

Issue Analytics

  • State:open
  • Created 4 years ago
  • Comments:12 (5 by maintainers)

github_iconTop GitHub Comments

1reaction
saincommented, Nov 29, 2019

Can I install pytorch_geometric without CUDA? If yes, how? I’m new,so could you explain more?

0reactions
Zethsoncommented, Feb 27, 2022

Can you share some more details? What’s your PyTorch/CUDA version? In general, I think this issue suggests that you are trying to install/run a CUDA version that is not found on your machine.

This is issue https://github.com/pyg-team/pytorch_geometric/issues/4160

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