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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/03/28 14:42:40 UTC

[GitHub] [incubator-mxnet] TaoLv opened a new issue #14552: Flaky: test_subgraph.test_pos_conv_bn_sum_relu

TaoLv opened a new issue #14552: Flaky: test_subgraph.test_pos_conv_bn_sum_relu
URL: https://github.com/apache/incubator-mxnet/issues/14552
 
 
   http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-14545/2/pipeline#step-710-log-899
   
   http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-14543/1/pipeline/241#step-703-log-893
   
   ======================================================================
   
   FAIL: test_subgraph.test_pos_conv_bn_sum_relu
   
   ----------------------------------------------------------------------
   
   Traceback (most recent call last):
   
     File "/usr/local/lib/python3.5/dist-packages/nose/case.py", line 198, in runTest
   
       self.test(*self.arg)
   
     File "/work/mxnet/tests/python/mkl/../unittest/common.py", line 177, in test_new
   
       orig_test(*args, **kwargs)
   
     File "/work/mxnet/tests/python/mkl/test_subgraph.py", line 578, in test_pos_conv_bn_sum_relu
   
       check_fusion(net, data_shape, attrs)
   
     File "/work/mxnet/tests/python/mkl/../unittest/common.py", line 177, in test_new
   
       orig_test(*args, **kwargs)
   
     File "/work/mxnet/tests/python/mkl/test_subgraph.py", line 190, in check_fusion
   
       assert_almost_equal(exe.outputs[i].asnumpy(), exe_sg.outputs[i].asnumpy(), rtol=1e-3, atol=1e-3)
   
     File "/work/mxnet/python/mxnet/test_utils.py", line 495, in assert_almost_equal
   
       raise AssertionError(msg)
   
   AssertionError: 
   
   Items are not equal:
   
   Error 2.103513 exceeds tolerance rtol=0.001000, atol=0.001000.  Location of maximum error:(22, 19, 13, 45), a=0.029479, b=0.031649
   
    a: array([[[[  398.53668  ,   314.83194  ,    -0.       , ...,
   
              1158.4216   ,   433.63675  ,    -0.       ],
   
            [  121.856995 ,   131.27039  ,    -0.       , ...,...
   
    b: array([[[[  398.53677  ,   314.83197  ,     0.       , ...,
   
              1158.4215   ,   433.63693  ,     0.       ],
   
            [  121.85688  ,   131.27037  ,     0.       , ...,...
   
   -------------------- >> begin captured logging << --------------------

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