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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/01/17 04:16:03 UTC

[GitHub] wkcn opened a new issue #13915: flask test: test_operator.test_activate

wkcn opened a new issue #13915: flask test: test_operator.test_activate
URL: https://github.com/apache/incubator-mxnet/issues/13915
 
 
   ```
   ====================================================================
   
   FAIL: test_operator.test_activation
   
   ----------------------------------------------------------------------
   
   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\unittest\common.py", line 173, in test_new
   
       orig_test(*args, **kwargs)
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\unittest\test_operator.py", line 6820, in test_activation
   
       name, op[0], shape, op[3], op[4], rtol_fd, atol_fd, num_eps)
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\unittest\test_operator.py", line 6086, in finite_diff_unary_op
   
       check_grad(op_ex, [data_np])
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\unittest\test_operator.py", line 6079, in <lambda>
   
       atol=atol, dtype=dtype)
   
     File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\test_utils.py", line 921, 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 495, in assert_almost_equal
   
       raise AssertionError(msg)
   
   AssertionError: 
   
   Items are not equal:
   
   Error 113966.931334 exceeds tolerance rtol=0.000010, atol=0.000001.  Location of maximum error:(0, 4, 8, 3), a=0.113967, b=0.000000
   
    NUMERICAL_data: array([[[[ 0.        ,  0.68042432,  0.        , ...,  0.34353021,
   
              0.13880596,  0.94525056],
   
            [ 0.11517657,  0.18770058,  0.30324909, ...,  0.97787645,...
   
    BACKWARD_data: array([[[[ 0.        ,  0.68042432,  0.        , ...,  0.34353021,
   
              0.13880596,  0.94525056],
   
            [ 0.11517657,  0.18770058,  0.30324909, ...,  0.97787645,...
   
   -------------------- >> begin captured logging << --------------------
   
   common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1553516940 to reproduce.
   
   --------------------- >> end captured logging << ---------------------
   ```

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