[LLM] fix llama precision on custom devices #7895
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
Codecov ReportAttention:
Additional details and impacted files@@ Coverage Diff @@
## develop #7895 +/- ##
========================================
Coverage 56.68% 56.68%
========================================
Files 588 588
Lines 89352 89352
========================================
+ Hits 50651 50653 +2
+ Misses 38701 38699 -2 ☔ View full report in Codecov by Sentry. |
|
Thanks for your contribution! |
xysheng-baidu
pushed a commit
to xysheng-baidu/PaddleNLP
that referenced
this pull request
Feb 22, 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Outdated suggestions cannot be applied.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.
PR types
Bug fixes
PR changes
Models
Description
Remove redundant type casting on masked_lm_loss which may cause precision failures on custom devices