Arm backend: Correct per channel axis for transpose conv#17842
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mansnils merged 1 commit intopytorch:mainfrom Mar 5, 2026
Merged
Arm backend: Correct per channel axis for transpose conv#17842mansnils merged 1 commit intopytorch:mainfrom
mansnils merged 1 commit intopytorch:mainfrom
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Adjust per-channel weight axis for conv_transpose2d based on group(s). The corrected axis is propagated to: - QuantizationSpec - QAT fake-quant constructors wrapped in PartialWrapper - Non-QAT observer/fake-quant constructors (via with_args) Signed-off-by: Måns Nilsson <mans.nilsson@arm.com> Change-Id: I7bbe982a67b317253467ae7224307af8e6b34e78
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/17842
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 Awaiting Approval, 3 New Failures, 3 Unrelated FailuresAs of commit ba71305 with merge base 389ea94 ( NEW FAILURES - The following jobs have failed:
FLAKY - The following job failed but was likely due to flakiness present on trunk:
BROKEN TRUNK - The following jobs failed but was present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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zingo
approved these changes
Mar 4, 2026
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Adjust per-channel weight axis for conv_transpose2d based on group(s).
The corrected axis is propagated to:
cc @digantdesai @SS-JIA @freddan80 @per @zingo @oscarandersson8218 @Sebastian-Larsson @robell