Modify uv installation docs for cuda support #340
Merged
+176
−71
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Previously,
uv tool install sleap-nn[torch-cuda128]didn't install torch with cuda support on windows (Related issue: #307). CUDA libraries aren’t getting installed because PyPi doesn’t have access totool.uv.index. When we runuv tool install(installingsleap-nnfrom PyPi), it defaults to pulling in the standard torch and torchvision and for windows the default wheels is CPU (linux - CUDA if cuda is available, mac - CPU). This happens because PyPi cannot see the custom indices we provide in tool.uv.index (the metadata is not published with the wheel), so it cannot resolve CUDA wheels.uv tool installworks when--extra-index-urlis provided to point to the appropriate Torch wheels. In this PR, we update the documentation to include the required index URLs for installing with CUDA support.