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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/09/03 10:01:17 UTC

[GitHub] lebeg opened a new pull request #12441: Revert "fixed flaky test issue for test_operator_gpu.test_depthwise_c…

lebeg opened a new pull request #12441: Revert "fixed flaky test issue for test_operator_gpu.test_depthwise_c…
URL: https://github.com/apache/incubator-mxnet/pull/12441
 
 
   …onvolution (#12402)"
   
   This reverts commit 58560f6d2e96da605c658742ebb0e26a7d0cbcd3.
   
   ## Description ##
   
   Test if failing again: 
   * http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/PR-12429/1/pipeline/
   * http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/master/1550/pipeline/
   
   ```
   ======================================================================
   FAIL: test_operator_gpu.test_depthwise_convolution
   ----------------------------------------------------------------------
   Traceback (most recent call last):
     File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
       self.test(*self.arg)
     File "/usr/local/lib/python2.7/dist-packages/nose/util.py", line 620, in newfunc
       return func(*arg, **kw)
     File "/work/mxnet/tests/python/gpu/../unittest/common.py", line 172, in test_new
       orig_test(*args, **kwargs)
     File "/work/mxnet/tests/python/gpu/../unittest/test_operator.py", line 1660, in test_depthwise_convolution
       np.testing.assert_allclose(arr1.asnumpy(), arr2.asnumpy(), rtol=1e-2, atol=1e-3)
     File "/usr/local/lib/python2.7/dist-packages/numpy/testing/nose_tools/utils.py", line 1396, in assert_allclose
       verbose=verbose, header=header, equal_nan=equal_nan)
     File "/usr/local/lib/python2.7/dist-packages/numpy/testing/nose_tools/utils.py", line 779, in assert_array_compare
       raise AssertionError(msg)
   AssertionError: 
   Not equal to tolerance rtol=0.01, atol=0.001
   (mismatch 4.0%)
    x: array([[[[ 26.400417, -36.113285, -64.04252 ,  -8.254103,  17.523859],
            [ 45.250435,  76.37607 ,  24.216667,  23.500875, -87.81845 ],
            [ 32.61415 ,   0.185663,  77.17114 ,  56.433533, -63.38382 ],...
    y: array([[[[ 26.399519, -36.111725, -64.04085 ,  -8.25362 ,  17.523405],
            [ 45.24878 ,  76.3775  ,  24.218298,  23.501816, -87.819145],
            [ 32.61278 ,   0.188967,  77.171234,  56.432304, -63.3824  ],...
   -------------------- >> begin captured logging << --------------------
   common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=589329529 to reproduce.
   --------------------- >> end captured logging << ---------------------
   ```
   

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