[GitHub] [incubator-mxnet] rondogency opened a new issue #16358: CI Flaky Test: test_operator_gpu.test_np_around

[GitBox <gi...@apache.org>]

rondogency opened a new issue #16358: CI Flaky Test: test_operator_gpu.test_np_around
URL: https://github.com/apache/incubator-mxnet/issues/16358
 
 
   Centos GPU test_operator_gpu.test_np_around fails on tolerance
   should be a flaky test since it is the only occurrence I know
   
   http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fcentos-gpu/detail/PR-15921/52/pipeline
   
   FAIL: test_operator_gpu.test_np_around
   ----------------------------------------------------------------------
   Traceback (most recent call last):
     File "/usr/lib/python3.6/site-packages/nose/case.py", line 198, in runTest
       self.test(*self.arg)
     File "/usr/lib/python3.6/site-packages/nose/util.py", line 620, in newfunc
       return func(*arg, **kw)
     File "/work/mxnet/tests/python/gpu/../unittest/common.py", line 177, in test_new
       orig_test(*args, **kwargs)
     File "/work/mxnet/python/mxnet/util.py", line 307, in _with_np_shape
       return func(*args, **kwargs)
     File "/work/mxnet/python/mxnet/util.py", line 491, in _with_np_array
       return func(*args, **kwargs)
     File "/work/mxnet/tests/python/gpu/../unittest/test_numpy_op.py", line 2447, in test_np_around
       assert_almost_equal(mx_out.asnumpy(), np_out, rtol=rtol, atol=atol)
     File "/work/mxnet/python/mxnet/test_utils.py", line 533, in assert_almost_equal
       raise AssertionError(msg)
   AssertionError: 
   Items are not equal:
   Error 1.457707 exceeds tolerance rtol=0.001000, atol=0.000010.  Location of maximum error:(), a=0.675000, b=0.676000
    a: array(0.675, dtype=float32)
    b: 0.676

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