Skip to content

Conversation

jiwoong-choi
Copy link

@jiwoong-choi jiwoong-choi commented Aug 28, 2024

Description

Exported programs with dynamic shapes often include aten.constant_pad_nd with the argument pad containing mixture of int and TRTTensor values. This makes pad_before + pad_after fails in get_padded_shape_tensors.

Type of change

Please delete options that are not relevant and/or add your own.

  • 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

Exported programs with dynamic shapes often include aten.constant_pad_nd with `pad` containing TRTTensor values
@github-actions github-actions bot added 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 Aug 28, 2024
@github-actions github-actions bot requested a review from peri044 August 28, 2024 12:41
@jiwoong-choi jiwoong-choi marked this pull request as ready for review August 28, 2024 12:42
Copy link
Collaborator

@peri044 peri044 left a comment

Choose a reason for hiding this comment

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

Added a minor comment. Changes LGTM

)
padded_shape_tensor = impl.cat.cat(
ctx, target, source_ir, f"{name}_cat_dim_{i}", slices, 0
ctx, target, source_ir, f"{name}_cat_dim_{i}", slices, 0, cast_dtype=np.int32
Copy link
Collaborator

Choose a reason for hiding this comment

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

can you use cast_dtype=padded_shape_tensor.dtype instead of assuming int32 ?

@jiwoong-choi jiwoong-choi requested a review from peri044 August 30, 2024 10:46
@peri044 peri044 merged commit ae7e6c8 into pytorch:main Sep 3, 2024
69 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
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants