Fix FP6-LLM API and add .to(device) op
#595
Merged
Conversation
This file contains 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
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/595
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 53c7330 with merge base ed83ae2 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
facebook-github-bot
added
the
CLA Signed
jerryzh168
pushed a commit
to jerryzh168/ao
that referenced
this pull request
Aug 5, 2024
* fix * add some ops for convenience
jainapurva
pushed a commit
that referenced
this pull request
Aug 7, 2024
* fix * add some ops for convenience
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Outdated suggestions cannot be applied.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.
Fix a bug introduced in #542 which breaks
fp6_llm_weight_only. Add a test to make sure we won't break the API in the future.I also added support for
.to(device)since it was required to work with CPU model offloading in diffusers (I was playing with Flux)