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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/08/30 20:34:52 UTC
[GitHub] aaronmarkham opened a new issue #12417:
test_operator.test_l2_normalization failure in CI
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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