Add portable var_mean.correction_out kernel (#18775)#18775
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meta-codesync[bot] merged 1 commit intopytorch:mainfrom Apr 9, 2026
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Add portable var_mean.correction_out kernel (#18775)#18775meta-codesync[bot] merged 1 commit intopytorch:mainfrom
meta-codesync[bot] merged 1 commit intopytorch:mainfrom
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/18775
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 5deccf8 with merge base 2d13fae ( FLAKY - The following job failed but was likely due to flakiness present on trunk:
BROKEN TRUNK - The following job failed but was present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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Summary: Add a new portable ExecuTorch kernel for var_mean.correction_out that computes both variance and mean in a single function call. Uses the same two-pass algorithm as var.correction_out — the mean computed in pass 1 is written to the output tensor instead of being discarded. Differential Revision: D100016876
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manuelcandales
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pssrawat
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Summary: Add a new portable ExecuTorch kernel for var_mean.correction_out that computes both variance and mean in a single function call. Uses the same two-pass algorithm as var.correction_out — the mean computed in pass 1 is written to the output tensor instead of being discarded. Reviewed By: manuelcandales Differential Revision: D100016876
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Summary: Add a new portable ExecuTorch kernel for var_mean.correction_out that computes both variance and mean in a single function call. Uses the same two-pass algorithm as var.correction_out — the mean computed in pass 1 is written to the output tensor instead of being discarded. Reviewed By: manuelcandales Differential Revision: D100016876
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Summary: Pull Request resolved: pytorch#18775 Add a new portable ExecuTorch kernel for var_mean.correction_out that computes both variance and mean in a single function call. Uses the same two-pass algorithm as var.correction_out — the mean computed in pass 1 is written to the output tensor instead of being discarded. Reviewed By: manuelcandales Differential Revision: D100016876
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Summary: Add a new portable ExecuTorch kernel for var_mean.correction_out that computes both variance and mean in a single function call. Uses the same two-pass algorithm as var.correction_out — the mean computed in pass 1 is written to the output tensor instead of being discarded. Reviewed By: manuelcandales Differential Revision: D100016876
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jpiat
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Apr 14, 2026
Differential Revision: D100016876 Pull Request resolved: pytorch#18775
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Summary:
Add a new portable ExecuTorch kernel for var_mean.correction_out that computes both variance and mean in a single function call. Uses the same two-pass algorithm as var.correction_out — the mean computed in pass 1 is written to the output tensor instead of being discarded.
Reviewed By: manuelcandales
Differential Revision: D100016876