Skip to content

update emitter default evalue to have dim order match size #8303

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

Merged
merged 1 commit into from
Feb 7, 2025

Conversation

JacobSzwejbka
Copy link
Contributor

Summary: Its rare for an emitted tensor to be default but it can happen with placeholders. When it happens we need to serialize dim order too since we check that its == in length to size at deserialization.

Differential Revision: D69211447

Summary: Its rare for an emitted tensor to be default but it can happen with placeholders. When it happens we need to serialize dim order too since we check that its == in length to size at deserialization.

Differential Revision: D69211447
Copy link

pytorch-bot bot commented Feb 7, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8303

Note: Links to docs will display an error until the docs builds have been completed.

✅ No Failures

As of commit 34501a1 with merge base 456928f (image):
💚 Looks good so far! There are no failures yet. 💚

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Feb 7, 2025
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D69211447

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. fb-exported topic: not user facing
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants