Optimize Int8 Woq for CPU#161
Open
yanbing-j wants to merge 1 commit into
Open
Conversation
update int4 weight dim Add CPU profiling
facebook-github-bot
added
the
CLA Signed
Author
|
@HDCharles could you please take a look? Thanks! |
Author
|
Hi @yanboliang , could you please take a look? Thanks! |
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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 PR is to optimize Int8 Woq both in gpt-fast and mixtral-moe.
At the current stage, we use
torch.ops.aten._weight_int8pack_mmas an workaround. And this workaround will be removed when pytorch/pytorch#120985 is merged in PyTorch stable release. Meanwhile, update int8 weight dimension according totorch.ops.aten._weight_int8pack_mmin pytorch/pytorch#118056 and add CPU profiling.