[tests] refactor the pipeline-level attention processor tests - #14701
Open
sayakpaul wants to merge 4 commits into
Open
[tests] refactor the pipeline-level attention processor tests#14701sayakpaul wants to merge 4 commits into
sayakpaul wants to merge 4 commits into
Conversation
sayakpaul
commented
Sep 4, 2026
Member
Author
|
/diffusers-bot pytest tests/models -m attention -k test_fuse_unfuse_qkv_projections |
sayakpaul
marked this pull request as ready for review
September 4, 2026 05:55
Contributor
|
✅ |
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
1 participant
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Currently, we have got a bunch of QKV fusion tests for pipelines, but these tests don't exercise any pipeline-level features at all.
On the other hand, we have got a handful of QKV fusion tests in the model-level attention test suite. So, this PR removes these pipeline-level tests and adds to the existing model-level QKV fusion tests so that we can retain coverage.