fix: downgrade PyTorch CUDA version from cu129 to cu126 #407
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
- Updated GPU dependency from torch==2.8.0+cu129 to torch==2.8.0+cu126 in pyproject.toml - Changed PyTorch CUDA index URL from https://download.pytorch.org/whl/cu129 to https://download.pytorch.org/whl/cu126 - This change ensures compatibility with CUDA 12.6 runtime while maintaining the same PyTorch version (2.8.0)
Contributor
Author
|
Closes #406 |
ryan-steed-usa
changed the title
Owner
|
Hey @ryan-steed-usa, is this still a draft? |
Contributor
Author
|
Hi @remsky, I was hoping for confirmation from a Maxwell or Pascal CUDA user but everything seems to work containerized with my Ada Lovelace GPUs. Otherwise I think it's ready to go. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
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Outdated suggestions cannot be applied.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.
This change might restore support for Maxwell and Pascal architectures.