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Fix avg_pool2d divisor_override being ignored when count_include_pad is false. (#18616)#18616

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meta-codesync[bot] merged 1 commit intopytorch:mainfrom
abeakkas:export-D98942362
Apr 7, 2026
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Fix avg_pool2d divisor_override being ignored when count_include_pad is false. (#18616)#18616
meta-codesync[bot] merged 1 commit intopytorch:mainfrom
abeakkas:export-D98942362

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@abeakkas abeakkas commented Mar 31, 2026

Summary:

When count_include_pad was false, the divisor was always set to the non-padded element count, silently ignoring any divisor_override. Now divisor_override is passed into avg_pool2d_nchw and takes priority over both count_include_pad and the per-element count.

Reviewed By: DrJessop

Differential Revision: D98942362

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pytorch-bot Bot commented Mar 31, 2026

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/18616

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

✅ You can merge normally! (2 Unrelated Failures)

As of commit 62b4531 with merge base 3d2c853 (image):

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 Mar 31, 2026
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meta-codesync Bot commented Mar 31, 2026

@abeakkas has exported this pull request. If you are a Meta employee, you can view the originating Diff in D98942362.

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@meta-codesync meta-codesync Bot changed the title Fix avg_pool2d divisor_override being ignored when count_include_pad is false. Fix avg_pool2d divisor_override being ignored when count_include_pad is false. (#18616) Apr 1, 2026
abeakkas added a commit to abeakkas/executorch that referenced this pull request Apr 1, 2026
…is false. (pytorch#18616)

Summary:

When count_include_pad was false, the divisor was always set to the non-padded element count, silently ignoring any divisor_override. Now divisor_override is passed into avg_pool2d_nchw and takes priority over both count_include_pad and the per-element count.

Reviewed By: DrJessop

Differential Revision: D98942362
@abeakkas abeakkas force-pushed the export-D98942362 branch 2 times, most recently from 70a6715 to 23c366d Compare April 2, 2026 19:44
abeakkas added a commit to abeakkas/executorch that referenced this pull request Apr 2, 2026
…is false. (pytorch#18616)

Summary:

When count_include_pad was false, the divisor was always set to the non-padded element count, silently ignoring any divisor_override. Now divisor_override is passed into avg_pool2d_nchw and takes priority over both count_include_pad and the per-element count.

Reviewed By: DrJessop

Differential Revision: D98942362
abeakkas added a commit to abeakkas/executorch that referenced this pull request Apr 3, 2026
…is false. (pytorch#18616)

Summary:

When count_include_pad was false, the divisor was always set to the non-padded element count, silently ignoring any divisor_override. Now divisor_override is passed into avg_pool2d_nchw and takes priority over both count_include_pad and the per-element count.

Reviewed By: DrJessop

Differential Revision: D98942362
abeakkas added a commit to abeakkas/executorch that referenced this pull request Apr 3, 2026
…is false. (pytorch#18616)

Summary:

When count_include_pad was false, the divisor was always set to the non-padded element count, silently ignoring any divisor_override. Now divisor_override is passed into avg_pool2d_nchw and takes priority over both count_include_pad and the per-element count.

Reviewed By: DrJessop

Differential Revision: D98942362
…is false. (pytorch#18616)

Summary:

When count_include_pad was false, the divisor was always set to the non-padded element count, silently ignoring any divisor_override. Now divisor_override is passed into avg_pool2d_nchw and takes priority over both count_include_pad and the per-element count.

Reviewed By: DrJessop

Differential Revision: D98942362
@meta-codesync meta-codesync Bot merged commit a3a08c1 into pytorch:main Apr 7, 2026
160 of 163 checks passed
jpiat pushed a commit to jpiat/executorch that referenced this pull request Apr 14, 2026
…is false. (pytorch#18616)

Differential Revision: D98942362

Pull Request resolved: pytorch#18616
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