feat: support 1d ITensor offsets for embedding_bag converter#2677
Merged
zewenli98 merged 14 commits intopytorch:mainfrom May 1, 2024
Merged
Conversation
7 tasks
gs-olive
reviewed
Mar 27, 2024
Collaborator
Author
|
Thanks for the review! I just refactored the embedding_bag with native TRT layers. |
gs-olive
reviewed
Apr 4, 2024
Contributor
gs-olive
left a comment
There was a problem hiding this comment.
Overall, looks good! Added one small comment, and pending CI validation
gs-olive
reviewed
Apr 5, 2024
Collaborator
Author
|
This is currently blocked by a Myelin bug. Filed a NVBug internally. |
… native TRT layers
2d40091 to
1f58d47
Compare
Collaborator
Author
|
With the latest |
laikhtewari
pushed a commit
that referenced
this pull request
May 24, 2024
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Description
Support 1d ITensor offsets for embedding_bag converter.
Note that this is only for 1d inputs.
There's a bug that same offsets with different types (tensor or ITensor) when include_last_offset=True will give different results. I doubt this is a bug from PyTorch, I'm still investigating it.
Fixes #2345
Type of change
Checklist: