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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/05/20 08:13:58 UTC

[GitHub] [incubator-mxnet] perdasilva opened a new issue #15004: [Flaky Test] test_operator.test_l2_normalization

perdasilva opened a new issue #15004: [Flaky Test] test_operator.test_l2_normalization
URL: https://github.com/apache/incubator-mxnet/issues/15004
 
 
   ## Description
   
   test_operator.test_l2_normalization is failing in CI. Possibly related to (#12417).
   
   ```
   ======================================================================
   FAIL: test_operator.test_l2_normalization
   ----------------------------------------------------------------------
   Traceback (most recent call last):
     File "C:\Python27\lib\site-packages\nose\case.py", line 197, in runTest
       self.test(*self.arg)
     File "C:\jenkins_slave\workspace\ut-python-cpu\tests\python\unittest\common.py", line 177, in test_new
       orig_test(*args, **kwargs)
     File "C:\jenkins_slave\workspace\ut-python-cpu\tests\python\unittest\test_operator.py", line 3364, in test_l2_normalization
       check_l2_normalization((nbatch, nchannel, height, width), mode, dtype)
     File "C:\jenkins_slave\workspace\ut-python-cpu\tests\python\unittest\test_operator.py", line 3352, in check_l2_normalization
       check_numeric_gradient(out, [in_data], numeric_eps=1e-3, rtol=1e-2, atol=5e-3)
     File "C:\jenkins_slave\workspace\ut-python-cpu\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-cpu\windows_package\python\mxnet\test_utils.py", line 503, in assert_almost_equal
       raise AssertionError(msg)
   AssertionError: 
   Items are not equal:
   Error 2.102181 exceeds tolerance rtol=0.010000, atol=0.005000.  Location of maximum error:(0, 2, 3, 2), a=-23.500040, b=-24.015398
    NUMERICAL_data: array([[[[  1.8384606 ,  -0.1450032 ,   0.4991705 , ...,   1.023978  ,
               0.41557103,   0.16494095],
            [  0.6440282 ,   0.04217774,   0.34083053, ...,   0.79606843,...
    BACKWARD_data: array([[[[  1.8384222 ,  -0.14503051,   0.49919605, ...,   1.0241054 ,
               0.4155616 ,   0.16493562],
            [  0.6440544 ,   0.042174  ,   0.34083432, ...,   0.7960764 ,...
   -------------------- >> begin captured logging << --------------------
   common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1163638589 to reproduce.
   --------------------- >> end captured logging << ---------------------
   ```
   
   See http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fwindows-cpu/detail/master/640/pipeline for full logs.
   

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