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fixed flaky test issue for test_operator_gpu.test_depthwise_convolution #12402

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merged 2 commits into from
Sep 1, 2018

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mseth10
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@mseth10 mseth10 commented Aug 30, 2018

Description

Issue not reproducible. Tolerance parameter (rtol) relaxed. This should fix the flakiness issue #12203 since mismatch percentage is small.

Checklist

Essentials

Please feel free to remove inapplicable items for your PR.

  • Changes are complete (i.e. I finished coding on this PR)
  • All changes have test coverage:
  • Unit tests are added for small changes to verify correctness (e.g. adding a new operator)
  • Nightly tests are added for complicated/long-running ones (e.g. changing distributed kvstore)
  • Build tests will be added for build configuration changes (e.g. adding a new build option with NCCL)
  • Code is well-documented:
  • For user-facing API changes, API doc string has been updated.
  • For new C++ functions in header files, their functionalities and arguments are documented.
  • For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable
  • Check the API doc at http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html
  • To the my best knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change

Changes

  • Tolerance parameter rtol modified to 1e-2

Comments

  • Passed more than 10,000 times on GPU
  • @haojin2

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Please still keep an eye on future occurrences.

@lupesko
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lupesko commented Aug 31, 2018

@mseth If it is not reproducible, why are we relaxing tolerance?

@@ -1659,7 +1658,7 @@ def test_depthwise_convolution():
exe2.backward(exe2.outputs[0])
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can we check whether a downcast is happening when we do arr2[:] = arr1 from float64 to float32. If yes lets fix that check if the test is still flaky.

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arr1 and arr2 are both float32. Downcast is happening during populating arr1 by random normal samples. I have made the casting explicit just to avoid errors.

@anirudh2290 anirudh2290 merged commit 58560f6 into apache:master Sep 1, 2018
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lebeg commented Sep 3, 2018

lebeg added a commit to lebeg/incubator-mxnet that referenced this pull request Sep 3, 2018
marcoabreu pushed a commit that referenced this pull request Sep 3, 2018
@mseth10
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mseth10 commented Sep 4, 2018

@lupesko tolerance parameter is relaxed even though the issue is not reproducible as it might be the case that the exact environment is not replicated at our end, also the relaxation we are making is small.

aaronmarkham pushed a commit to aaronmarkham/incubator-mxnet that referenced this pull request Sep 11, 2018
…on (apache#12402)

* fixed flaky test issue for test_operator_gpu.test_depthwise_convolution

* Changed implicit cast to explicit cast
aaronmarkham pushed a commit to aaronmarkham/incubator-mxnet that referenced this pull request Sep 11, 2018
anirudh2290 pushed a commit to anirudh2290/mxnet that referenced this pull request Sep 19, 2018
…on (apache#12402)

* fixed flaky test issue for test_operator_gpu.test_depthwise_convolution

* Changed implicit cast to explicit cast
anirudh2290 pushed a commit to anirudh2290/mxnet that referenced this pull request Sep 19, 2018
@mseth10 mseth10 deleted the fix_12203 branch June 1, 2020 10:45
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5 participants