gautamkmr opened a new issue #8044: Enable Test
URL: https://github.com/apache/incubator-mxnet/issues/8044
 
 
   For bugs or installation issues, please provide the following information.
   The more information you provide, the more likely people will be able to 
help you.
   
   ## Environment info
   Operating System: linux
   
   Compiler: gcc 
   
   Package used (Python/R/Scala/Julia): python
   
   MXNet version: master
   
   Or if installed from source: 
   
   MXNet commit hash (`git rev-parse HEAD`):
   
   If you are using python package, please provide 2 and 3 
   
   Python version and distribution:
   
   If you are using R package, please provide
   
   R `sessionInfo()`:
   
   ## Error Message:
   
   ======================================================================
   FAIL: test_operator_gpu.test_batchnorm_training
   ----------------------------------------------------------------------
   Traceback (most recent call last):
     File "C:\Anaconda3\envs\py2\lib\site-packages\nose\case.py", line 197, in 
runTest
       self.test(*self.arg)
     File "C:\Anaconda3\envs\py2\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\test_operator.py",
 line 969, in test_batchnorm_training
       check_batchnorm_training(stype)
     File 
"c:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\test_operator.py",
 line 921, in check_batchnorm_training
       check_numeric_gradient(test, in_location, mean_std, numeric_eps=1e-2, 
rtol=0.16, atol=1e-4)
     File 
"c:\jenkins_slave\workspace\ut-python-gpu\pkg_vc14_gpu\python\mxnet\test_utils.py",
 line 880, in check_numeric_gradient
       ("NUMERICAL_%s"%name, "BACKWARD_%s"%name))
     File 
"c:\jenkins_slave\workspace\ut-python-gpu\pkg_vc14_gpu\python\mxnet\test_utils.py",
 line 467, in assert_almost_equal
       raise AssertionError(msg)
   AssertionError: 
   Items are not equal:
   Error 2.211290 exceeds tolerance rtol=0.160000, atol=0.000100.  Location of 
maximum error:(1, 1, 0, 0), a=-0.000764, b=-0.000401
    NUMERICAL_data: array([[[[-3.25536728, -1.11701787],
            [ 0.21415949,  3.06491852]],
   ...
    BACKWARD_data: array([[[[-3.25574946, -1.11719143],
            [ 0.2142154 ,  3.06527352]],
   ...
   
   ## Minimum reproducible example
   run  test_operator_gpu.test_batchnorm_training
   ## Steps to reproduce
   or if you are running standard examples, please provide the commands you 
have run that lead to the error.
   
   1.
   2.
   3.
   
   ## What have you tried to solve it?
   
   1.
   2.
   3.
   
 
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