Merged
Conversation
orttraining/orttraining/python/training/ortmodule/_graph_execution_manager.py
Fixed
Show fixed
Hide fixed
mindest
approved these changes
Jul 12, 2023
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Use autograd_inlining for model export
From some versions of PyTorch, there is an issue related to custom autograd.Function inlining, even though we register custom export function for the autograd.Function (e.g. when custom autograd function is enabled).
As an options, PyTorch exporter adds a new flag during export, we can disable the inline. pytorch/pytorch#104067
Currently the PyTorch change is in nightly built, this PR dynamically check the torch.onnx.export's signature and decide to use the
autograd_inliningwhen it exists.Motivation and Context