[GitHub] marcoabreu edited a comment on issue #10087: Flaky test on Ubuntu: test_operator_gpu.test_batchnorm_with_type

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

marcoabreu edited a comment on issue #10087: Flaky test on Ubuntu: test_operator_gpu.test_batchnorm_with_type
URL: https://github.com/apache/incubator-mxnet/issues/10087#issuecomment-404858767
 
 
   Flakyness has not been solved: http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/master/1187/pipeline
   
   ```
   ======================================================================
   
   FAIL: test_operator_gpu.test_batchnorm_with_type
   
   ----------------------------------------------------------------------
   
   Traceback (most recent call last):
   
     File "C:\Anaconda3\envs\py3\lib\site-packages\nose\case.py", line 197, in runTest
   
       self.test(*self.arg)
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\common.py", line 175, in test_new
   
       orig_test(*args, **kwargs)
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\test_operator_gpu.py", line 339, in test_batchnorm_with_type
   
       check_consistency(sym, ctx_list_v2_3D)
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\pkg_vc14_gpu_mkldnn\python\mxnet\test_utils.py", line 1354, in check_consistency
   
       raise e
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\pkg_vc14_gpu_mkldnn\python\mxnet\test_utils.py", line 1349, in check_consistency
   
       equal_nan=equal_nan)
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\pkg_vc14_gpu_mkldnn\python\mxnet\test_utils.py", line 493, in assert_almost_equal
   
       raise AssertionError(msg)
   
   AssertionError: 
   
   Items are not equal:
   
   Error 1.114559 exceeds tolerance rtol=0.100000, atol=0.100000.  Location of maximum error:(1,), a=-0.217708, b=-0.370361
   
    a: array([-96.87876892,  -0.21770805], dtype=float32)
   
    b: array([-97.        ,  -0.37036133], dtype=float16)
   
   -------------------- >> begin captured stdout << ---------------------
   
   Train Err: ctx 0 vs ctx 2 at norm_gamma
   
   
   
   --------------------- >> end captured stdout << ----------------------
   
   -------------------- >> begin captured logging << --------------------
   
   common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=84210791 to reproduce.
   
   --------------------- >> end captured logging << ---------------------
   ```

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