haojin2 commented on issue #14902: flaky test: test_bilinear_resize_op
URL: 
https://github.com/apache/incubator-mxnet/issues/14902#issuecomment-494174441
 
 
   Another failure: 
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fwindows-gpu/detail/PR-14959/12/pipeline
   Seems like the error margin is pretty small with a very small atol:
   ```
   ======================================================================
   FAIL: test_operator_gpu.test_bilinear_resize_op
   ----------------------------------------------------------------------
   Traceback (most recent call last):
     File "C:\Python27\lib\site-packages\nose\case.py", line 197, in runTest
       self.test(*self.arg)
     File "C:\Python27\lib\site-packages\nose\util.py", line 620, in newfunc
       return func(*arg, **kw)
     File 
"C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\common.py",
 line 177, in test_new
       orig_test(*args, **kwargs)
     File 
"C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\test_operator.py",
 line 7498, in test_bilinear_resize_op
       check_bilinear_resize_modes_op(shape_0, shape_1=shape_1, mode='like')
     File 
"C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\test_operator.py",
 line 7472, in check_bilinear_resize_modes_op
       check_numeric_gradient(resize_sym, [data_np, date_np_like])
     File 
"C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\test_utils.py",
 line 980, in check_numeric_gradient
       ("NUMERICAL_%s"%name, "BACKWARD_%s"%name))
     File 
"C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\test_utils.py",
 line 503, in assert_almost_equal
       raise AssertionError(msg)
   AssertionError: 
   Items are not equal:
   Error 1.004549 exceeds tolerance rtol=0.010000, atol=0.000000.  Location of 
maximum error:(1, 0, 12, 12), a=0.004321, b=0.004278
    NUMERICAL_data: array([[[[0.84230304, 0.        , 0.57831407, ..., 
0.1641959 ,
             0.        , 0.331074  ],
            [0.        , 0.        , 0.        , ..., 0.        ,...
    BACKWARD_data: array([[[[0.84230524, 0.        , 0.5783209 , ..., 
0.16419744,
             0.        , 0.33107594],
            [0.        , 0.        , 0.        , ..., 0.        ,...
   -------------------- >> begin captured logging << --------------------
   common: INFO: Setting test np/mx/python random seeds, use 
MXNET_TEST_SEED=1608036320 to reproduce.
   --------------------- >> end captured logging << ---------------------
   
   ```
   Experimenting with bumping up the atol to a reasonable level now, please 
don't hurry to disable the test for now.

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