Unify attention output handling #2343
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
- Always return the hidden states. - Create the output tensor inside the `attention` and `paged_attention` functions. This removes the difference between how the output is handled between attention (output parameter) and paged attention (return value). This also removes the assumption that the attention implementation can write to an output tensor (in preparation of FlashInfer).
danieldk
force-pushed
the
maintenance/attention-out
branch
from
aa1dcca to
2c28886
Compare
drbh
approved these changes
Aug 1, 2024
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Outdated suggestions cannot be applied.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.
What does this PR do?
attentionandpaged_attentionfunctions.This removes the difference between how the output is handled between attention (output parameter) and paged attention (return value). This also removes the assumption that the attention implementation can write to an output tensor (in preparation of FlashInfer).
Before submitting
Pull Request section?
to it if that's the case.
documentation guidelines, and
here are tips on formatting docstrings.
Who can review?
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.