-
Notifications
You must be signed in to change notification settings - Fork 25.5k
Remove remaining uses of copy_graphstate #115321
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
Closed
Closed
Conversation
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
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/115321
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit 433984e with merge base f6291a5 ( FLAKY - The following job failed but was likely due to flakiness present on trunk:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
mlazos
commented
Dec 7, 2023
This was referenced Dec 7, 2023
jansel
approved these changes
Dec 7, 2023
@pytorchbot merge |
zou3519
approved these changes
Dec 7, 2023
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
dmenig
pushed a commit
to dmenig/pytorch
that referenced
this pull request
Dec 21, 2023
After auditing higher_order_ops.py, the graph checkpoints were only getting used in the event of an exception, so it is safe to remove because we restart analysis in this case now. To make this clearer the current state is the following: Checkpoint side effects Capture subgraph if graph break: restore as usual else: throw away inlining translator and subgraph tracer Restore side effects This will change to the following after this change: Checkpoint side effects Capture subgraph: if graph break: restart analysis else: throw away inlining translator and subgraph tracer Restore side effects Pull Request resolved: pytorch#115321 Approved by: https://github.com/jansel, https://github.com/zou3519
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Labels
ciflow/inductor
ciflow/trunk
Trigger trunk jobs on your pull request
Merged
module: dynamo
release notes: dynamo
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.
After auditing higher_order_ops.py, the graph checkpoints were only getting used in the event of an exception, so it is safe to remove because we restart analysis in this case now.
To make this clearer the current state is the following:
Checkpoint side effects
Capture subgraph
if graph break:
restore as usual
else:
throw away inlining translator and subgraph tracer
Restore side effects
This will change to the following after this change:
Checkpoint side effects
Capture subgraph:
if graph break:
restart analysis
else:
throw away inlining translator and subgraph tracer
Restore side effects
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @aakhundov @kadeng