XNNPACK: Run recommended pre-partition transforms in AOT flow#20446
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mansnils wants to merge 1 commit into
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XNNPACK: Run recommended pre-partition transforms in AOT flow#20446mansnils wants to merge 1 commit into
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Wire get_transform_passes() into the XNNPACK example AOT compiler so official exports run the same recommended pre-partition graph transforms used by tests. Update XNNPACK docs and README snippets to show the optional transform_passes stage and clarify that it is recommended in general for XNNPACK before partitioning. Signed-off-by: Måns Nilsson <mans.nilsson@arm.com> Change-Id: I0412c13d9a067a44b3d044d27409157095a4d764
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/20446
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ❌ 4 New Failures, 4 Unrelated FailuresAs of commit f0f41be with merge base 82a605d ( NEW FAILURES - The following jobs have failed:
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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Wire get_transform_passes() into the XNNPACK example AOT compiler so official exports run the same recommended pre-partition graph transforms used by tests.
Update XNNPACK docs and README snippets to show the optional transform_passes stage and clarify that it is recommended in general for XNNPACK before partitioning.
cc @GregoryComer @digantdesai @cbilgin @freddan80 @per @zingo @oscarandersson8218 @Sebastian-Larsson @robell @rascani