======================================================================
FAIL: test_operator_gpu.test_deconvolution
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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:\Anaconda3\envs\py3\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 157, in test_new
    orig_test(*args, **kwargs)
  File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\test_operator.py", line 1169, in test_deconvolution
    pad                 = (1,1)
  File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\test_operator.py", line 1061, in check_deconvolution_forward_backward
    assert_almost_equal(out + args_grad_addto_npy[0], args_grad_addto[0].asnumpy(), rtol=1e-4, atol=1e-3)
  File "C:\jenkins_slave\workspace\ut-python-gpu\pkg_vc14_gpu\python\mxnet\test_utils.py", line 493, in assert_almost_equal
    raise AssertionError(msg)
AssertionError: 
Items are not equal:
Error 1.029078 exceeds tolerance rtol=0.000100, atol=0.001000.  Location of maximum error:(1, 2, 19, 15), a=0.083483, b=0.082445
 a: array([[[[  -1.03032662,   84.66370263,  -15.19734333, ...,   75.15862218,
           -93.83804658,  -63.14129641],
         [  54.54269176,    7.71739136,   23.10548904, ...,   81.15015121,...
 b: array([[[[  -1.03033042,   84.6636734 ,  -15.19732857, ...,   75.15862274,
           -93.83802795,  -63.14128113],
         [  54.54269409,    7.71736002,   23.10546684, ...,   81.15015411,...
-------------------- >> begin captured logging << --------------------
common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1270064081 to reproduce.
--------------------- >> end captured logging << ---------------------