Skip to content

Support None's When Calculating Emitted ExecutionPlan Outputs #2243

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
wants to merge 2 commits into from

Conversation

Jack-Khuu
Copy link
Contributor

Summary:
Previously Support for outputting int/float was added in D53256808 for Seamless

This extends on this by dropping None Outputs (Which can be outputted by NanoGPT)

Differential Revision: D54328663

Copy link

pytorch-bot bot commented Mar 4, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/2243

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

❌ 1 New Failure, 1 Unrelated Failure

As of commit ef9c132 with merge base 6be02ce (image):

NEW FAILURE - The following job has failed:

BROKEN TRUNK - The following job failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

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 Mar 4, 2024
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D54328663

Jack-Khuu added a commit to Jack-Khuu/executorch-1 that referenced this pull request Mar 5, 2024
…ts (pytorch#2243)

Summary:

Previously Support for outputting int/float was added in D53256808 for Seamless

This extends on this by dropping None Outputs (Which can be outputted by NanoGPT)

Differential Revision: D54328663
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D54328663

Jack-Khuu added a commit to Jack-Khuu/executorch-1 that referenced this pull request Mar 5, 2024
…ts (pytorch#2243)

Summary:

Previously Support for outputting int/float was added in D53256808 for Seamless

This extends on this by dropping None Outputs (Which can be outputted by NanoGPT)

Differential Revision: D54328663
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D54328663

Jack-Khuu added a commit to Jack-Khuu/executorch-1 that referenced this pull request Mar 6, 2024
…ts (pytorch#2243)

Summary:

Previously Support for outputting int/float was added in D53256808 for Seamless

This extends on this by dropping None Outputs (Which can be outputted by NanoGPT)

Differential Revision: D54328663
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D54328663

)

Summary:

This diff adds support for `torch.preserve_format` when casting constants to Evalues.
---

Reviewed By: dbort

Differential Revision: D54288165
…ts (pytorch#2243)

Summary:

Previously Support for outputting int/float was added in D53256808 for Seamless

This extends on this by dropping None Outputs (Which can be outputted by NanoGPT)

Reviewed By: JacobSzwejbka

Differential Revision: D54328663
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D54328663

@Jack-Khuu Jack-Khuu changed the title Dropping Trailing None's When Calculating Emitted ExecutionPlan Outputs Support None's When Calculating Emitted ExecutionPlan Outputs Mar 7, 2024
@facebook-github-bot
Copy link
Contributor

This pull request has been merged in b22c224.

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 Merged
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants