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[MPS] Fix correctness issues with Pooling ops #91519
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razarmehr
commented
Dec 29, 2022
- Workaround for MaxPool when ceilMode=true
- Workaround for ChannelsLast memory format
- Workaround for divisor_override in AvgPool ops
- Enabled count_include_pad parameter for AvgPool
- Refactoring and clean up of duplicate code
- Enable MaxPool tests in TestConsistency
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/91519
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 4495a2e: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Overall looks fine.
* Fix correctness issues with Pooling ops - Workaround for MaxPool when ceilMode=true - Workaround for ChannelsLast memory format - Workaround for divisor_override in AvgPool ops - Enabled count_include_pad parameter for AvgPool - Refactoring and clean up of duplicate code * Remove the divisor from the cached key * Pass positive values to transposeTensor() in convertNHWCtoNCHW()
* Display error for int64 pooling inputs on Monterey Also skip the test on TestConsistency when such errors are generated
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Catch-all exception handling in test_mps
feels very dangerous to me, as it might result in missing functional regressions. Please use skipIf
, or better add an xfailIf
decorator.
Co-authored-by: Nikita Shulga <nikita.shulga@gmail.com>
@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
@pytorchbot merge -f "MPS tests are green" |
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