fix: pin torchvision to the cu126 index so the vision extra imports - #27
Merged
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
uv sync --extra visionresolvedtorchvisionfrom PyPI whiletorchcame from the pinnedpytorch-cu126index. The mismatched builds import fine individually but blow up whentransformerstouches torchvision ops:That surfaced as the vision scorer silently falling back to
SimpleFallbackScorerunder--scorer auto, since the AutoImageProcessor load failure is caught and downgraded.Two changes:
torchvisionexplicitly in thevisionextra — it was only ever an implicit transitive need of the SigLIP image processor.pytorch-cu126in[tool.uv.sources], matchingtorch.Verified after the change:
torch 2.13.0+cu126 | torchvision 0.28.0+cu126, SigLIP processor loads, and a run reportsUsing vision scorerinstead of falling back.