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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/10/24 22:57:14 UTC

[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #16358: CI Flaky Test: test_operator_gpu.test_np_around

ChaiBapchya commented on issue #16358: CI Flaky Test: test_operator_gpu.test_np_around
URL: https://github.com/apache/incubator-mxnet/issues/16358#issuecomment-546134867
 
 
   Fail - test_np_around in test_numpy_op.py file
   Unrelated PR #16585 
   http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fwindows-gpu/detail/PR-16585/8/pipeline
   ```
   ======================================================================
   
   FAIL: test_numpy_op.test_np_around
   
   ----------------------------------------------------------------------
   
   Traceback (most recent call last):
   
     File "C:\Python37\lib\site-packages\nose\case.py", line 198, in runTest
   
       self.test(*self.arg)
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\unittest\common.py", line 177, in test_new
   
       orig_test(*args, **kwargs)
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\util.py", line 315, in _with_np_shape
   
       return func(*args, **kwargs)
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\util.py", line 499, in _with_np_array
   
       return func(*args, **kwargs)
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\unittest\test_numpy_op.py", line 3088, in test_np_around
   
       assert_almost_equal(mx_out.asnumpy(), np_out, rtol=rtol, atol=atol)
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\test_utils.py", line 627, in assert_almost_equal
   
       raise AssertionError(msg)
   
   AssertionError: 
   
   Items are not equal:
   
   Error 3.937004 exceeds tolerance rtol=1.000000e-03, atol=1.000000e-05 (mismatch 16.666667%).
   
   Location of maximum error: (0, 0, 1), a=2.51999998, b=2.52999997
   
    ACTUAL: array([[[ 0.79     ,  2.52     , -0.76     ],
   
           [-1.3      ,  0.88     ,  1.4100001]]], dtype=float32)
   
    DESIRED: array([[[ 0.79,  2.53, -0.76],
   
           [-1.3 ,  0.88,  1.41]]], dtype=float32)
   
   -------------------- >> begin captured stdout << ---------------------
   
   
   *** Maximum errors for vector of size 6:  rtol=0.001, atol=1e-05
   
   
     1: Error 3.937004  Location of error: (0, 0, 1), a=2.51999998, b=2.52999997
   
   
   --------------------- >> end captured stdout << ----------------------
   ```

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