aaronmarkham opened a new issue #12417: test_operator.test_l2_normalization failure in CI URL: https://github.com/apache/incubator-mxnet/issues/12417 The PR is unrelated to anything that would have failed this test... http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/PR-12413/1/pipeline ``` ====================================================================== FAIL: test_operator.test_l2_normalization ---------------------------------------------------------------------- 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:\jenkins_slave\workspace\ut-python-gpu\tests\python\unittest\common.py", line 172, in test_new orig_test(*args, **kwargs) File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\unittest\test_operator.py", line 3134, in test_l2_normalization check_l2_normalization((nbatch, nchannel, height, width), mode, dtype) File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\unittest\test_operator.py", line 3120, in check_l2_normalization check_numeric_gradient(out, [in_data], numeric_eps=1e-3, rtol=1e-2, atol=1e-3) File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\test_utils.py", line 912, 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 491, in assert_almost_equal raise AssertionError(msg) AssertionError: Items are not equal: Error 1.721498 exceeds tolerance rtol=0.010000, atol=0.001000. Location of maximum error:(1, 0, 2, 1), a=-0.194527, b=-0.199686 NUMERICAL_data: array([[[[ 1.49086118, 0.15851855, 0.26511028, ..., 0.04867464, 1.2716279 , -0.13297796], [ 0.62356889, -0.54586679, 0.78976154, ..., 1.01109409,... BACKWARD_data: array([[[[ 1.49098313, 0.15851827, 0.26509097, ..., 0.04858097, 1.27164507, -0.13300258], [ 0.62362021, -0.54588604, 0.78978229, ..., 1.01112676,... -------------------- >> begin captured logging << -------------------- common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=2040851487 to reproduce. --------------------- >> end captured logging << --------------------- ```
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