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@DrJessop DrJessop commented Sep 6, 2025

Summary: The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686

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pytorch-bot bot commented Sep 6, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14035

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

❌ 1 New Failure, 38 Pending, 5 Unrelated Failures

As of commit 8a1875e with merge base c3b842f (image):

NEW FAILURE - The following job has failed:

FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

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

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

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@meta-cla meta-cla 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 Sep 6, 2025
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This pull request was exported from Phabricator. Differential Revision: D81842686

DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 6, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
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If your change should be included in the release notes (i.e. would users of this library care about this change?), please use a label starting with release notes:. This helps us keep track and include your important work in the next release notes.

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DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 6, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 8, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D81842686

DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 8, 2025
…ls_last (pytorch#14035)

Summary:
Pull Request resolved: pytorch#14035

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 8, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 8, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 8, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 8, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 8, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 8, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
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This pull request was exported from Phabricator. Differential Revision: D81842686

DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:
Pull Request resolved: pytorch#14035

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D81842686

DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 9, 2025
…ls_last (pytorch#14035)

Summary:
Pull Request resolved: pytorch#14035

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 10, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 10, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 10, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 10, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 10, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 10, 2025
…ls_last (pytorch#14035)

Summary:

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D81842686

DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 10, 2025
…ls_last (pytorch#14035)

Summary:
Pull Request resolved: pytorch#14035

The default overload of custom channels last assumes that inputs and weights are permuted and contiguous in memory.

Differential Revision: D81842686
…ls_last (pytorch#14035)

Summary:

Our implementation is actually supposed to assume input shapes come in channels last, not relying on torch channels last memory format. Same thing with output shapes.

Differential Revision: D81842686
@facebook-github-bot
Copy link
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This pull request was exported from Phabricator. Differential Revision: D81842686

DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 10, 2025
…ls_last (pytorch#14035)

Summary:

Our implementation is actually supposed to assume input shapes come in channels last, not relying on torch channels last memory format. Same thing with output shapes.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 10, 2025
…ls_last (pytorch#14035)

Summary:

Our implementation is actually supposed to assume input shapes come in channels last, not relying on torch channels last memory format. Same thing with output shapes.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 10, 2025
…ls_last (pytorch#14035)

Summary:

Our implementation is actually supposed to assume input shapes come in channels last, not relying on torch channels last memory format. Same thing with output shapes.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 10, 2025
…ls_last (pytorch#14035)

Summary:

Our implementation is actually supposed to assume input shapes come in channels last, not relying on torch channels last memory format. Same thing with output shapes.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 10, 2025
…ls_last (pytorch#14035)

Summary:

Our implementation is actually supposed to assume input shapes come in channels last, not relying on torch channels last memory format. Same thing with output shapes.

Differential Revision: D81842686
DrJessop pushed a commit to DrJessop/executorch that referenced this pull request Sep 10, 2025
…ls_last (pytorch#14035)

Summary:
Pull Request resolved: pytorch#14035

Our implementation is actually supposed to assume input shapes come in channels last, not relying on torch channels last memory format. Same thing with output shapes.

Differential Revision: D81842686
@facebook-github-bot facebook-github-bot merged commit 517d7b5 into pytorch:main Sep 10, 2025
235 of 279 checks passed
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3 participants