Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

feat: support 1d ITensor offsets for embedding_bag converter #2677

Conversation

zewenli98
Copy link
Collaborator

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

  • New feature (non-breaking change which adds functionality)

Checklist:

  • My code follows the style guidelines of this project (You can use the linters)
  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas and hacks
  • I have made corresponding changes to the documentation
  • I have added tests to verify my fix or my feature
  • New and existing unit tests pass locally with my changes
  • I have added the relevant labels to my PR in so that relevant reviewers are notified

@github-actions github-actions bot added component: tests Issues re: Tests component: conversion Issues re: Conversion stage component: converters Issues re: Specific op converters component: api [Python] Issues re: Python API component: dynamo Issues relating to the `torch.compile` or `torch._dynamo.export` paths labels Mar 8, 2024
@github-actions github-actions bot requested a review from peri044 March 8, 2024 01:24
@zewenli98 zewenli98 self-assigned this Mar 8, 2024
@github-actions github-actions bot added the component: lowering Issues re: The lowering / preprocessing passes label Mar 12, 2024
@zewenli98 zewenli98 changed the title [WIP] feat: support 1d ITensor offsets for embedding_bag converter feat: support 1d ITensor offsets for embedding_bag converter Mar 12, 2024
Copy link
Collaborator

@gs-olive gs-olive left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Overall a great improvement to embedding_bag; added a few small comments and suggestions

@zewenli98
Copy link
Collaborator Author

Thanks for the review! I just refactored the embedding_bag with native TRT layers.

@zewenli98 zewenli98 requested a review from gs-olive April 4, 2024 01:05
Copy link
Collaborator

@gs-olive gs-olive left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Overall, looks good! Added one small comment, and pending CI validation

py/torch_tensorrt/dynamo/conversion/aten_ops_converters.py Outdated Show resolved Hide resolved
@zewenli98 zewenli98 requested a review from gs-olive April 4, 2024 18:06
@zewenli98
Copy link
Collaborator Author

This is currently blocked by a Myelin bug. Filed a NVBug internally.

@zewenli98 zewenli98 force-pushed the embedding_bag_1d_ITensor_offsets_dynamo_converter branch from 2d40091 to 1f58d47 Compare May 1, 2024 00:23
@zewenli98 zewenli98 requested a review from gs-olive May 1, 2024 00:27
@zewenli98
Copy link
Collaborator Author

zewenli98 commented May 1, 2024

With the latest Pytorch, TRT-10 GA, and Torch-TRT main branch, the embedding_bag converter works on DLRM now.

@zewenli98 zewenli98 merged commit de81be2 into pytorch:main May 1, 2024
23 of 25 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
cla signed component: api [Python] Issues re: Python API component: conversion Issues re: Conversion stage component: converters Issues re: Specific op converters component: dynamo Issues relating to the `torch.compile` or `torch._dynamo.export` paths component: lowering Issues re: The lowering / preprocessing passes component: tests Issues re: Tests
Projects
None yet
Development

Successfully merging this pull request may close these issues.

Implement embedding bag convertor
3 participants