pytorch / pytorch/pytorch.github.io
Managing CUDA version with installation
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Description
📚 Documentation
On the pytorch installation site, the instruction for installing with different specified compute platforms redirects you to download/install from source. conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch worked for me, and would be an easier and faster recommendation than the suggested download/install from source.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the PyTorch installation site section for different compute platforms and compare its source-install guidance with the reported conda command. Done means the documentation gives an appropriate easier installation recommendation for specified compute platforms.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pytorch
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100