XNNPACK: Add optional performance stage to pytest/tester - #21549
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Force the ExecuTorch threadpool to one thread while timing, then restore the previous thread count after the run. This reduces noise and keeps results easier to compare across repeated local measurements. Store the complete measurement record in a json file for regression checks. Also write a short md file with only the key review fields. Deduce expected HW path based on host features. Use Resnet as first example with json result data. Change-Id: I2bfe57dfddcfeadb850594ef416774ba08c56292 Signed-off-by: Måns Nilsson <mans.nilsson@arm.com> Change-Id: I6977867a48daee3d6ab4073de8fe9702c6059840
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21549
Note: Links to docs will display an error until the docs builds have been completed. ❌ You can merge normally! (9 Unrelated Failures), 8 Unclassified FailuresAs of commit 4994261 with merge base adaaa8b ( UNCLASSIFIED FAILURES - DrCI could not classify the following jobs because the workflow did not run on the merge base. The failures may be pre-existing on trunk or introduced by this PR:
FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
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Force the ExecuTorch threadpool to one thread while timing, then restore the previous thread count after the run. This reduces noise and keeps results easier to compare across repeated local measurements.
Store the complete measurement record in a json file for regression checks. Also write a short md file with only the key review fields.
Deduce expected HW path based on host features.
Use Resnet as first example with json result data.
cc @GregoryComer @digantdesai @cbilgin @JakeStevens @freddan80 @per @zingo @oscarandersson8218 @Sebastian-Larsson @robell @rascani