WAQ refactor #1496
Merged
WAQ refactor #1496
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
wenhuach21
commented
Jan 29, 2024
wenhuach21
commented
Jan 29, 2024
wenhuach21
commented
Jan 29, 2024
examples/pytorch/nlp/huggingface_models/language-modeling/quantization/sq_cuda/main.py
Outdated
Show resolved
Hide resolved
wenhuach21
commented
Jan 29, 2024
wenhuach21
commented
Jan 29, 2024
wenhuach21
commented
Jan 29, 2024
wenhuach21
commented
Jan 29, 2024
wenhuach21
commented
Jan 29, 2024
n1ck-guo
approved these changes
Feb 26, 2024
Signed-off-by: Lu, Yintong <[email protected]>
for more information, see https://pre-commit.ci
yintong-lu
approved these changes
Feb 27, 2024
Merged
chensuyue
added a commit
that referenced
this pull request
Feb 27, 2024
This reverts commit 83a4569.
chensuyue
added a commit
that referenced
this pull request
Feb 27, 2024
This reverts commit 83a4569.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 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Outdated suggestions cannot be applied.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.
Type of Change
plan:
1 split smooth quant to multiple files and polish the code
2 change auto alpha to block-by-block, this may introduce variation to accuracies
3 introduce autoalpha +teq+ minmax tuning to tune
Description
detail description
Expected Behavior & Potential Risk
the expected behavior that triggered by this PR
How has this PR been tested?
how to reproduce the test (including hardware information)
Dependency Change?
any library dependency introduced or removed