You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/08/26 04:16:01 UTC
[GitHub] reminisce opened a new issue #12359: Flaky test_l2_normalization on
GPU
reminisce opened a new issue #12359: Flaky test_l2_normalization on GPU
URL: https://github.com/apache/incubator-mxnet/issues/12359
```
FAIL: test_operator_gpu.test_l2_normalization
----------------------------------------------------------------------
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 172, in test_new
orig_test(*args, **kwargs)
File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\test_operator.py", line 3138, in test_l2_normalization
check_l2_normalization((nbatch, nchannel, height, width), mode, dtype)
File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\test_operator.py", line 3124, 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 1.965590 exceeds tolerance rtol=0.010000, atol=0.001000. Location of maximum error:(1, 0, 2, 1), a=1.024514, b=1.002837
NUMERICAL_data: array([[[[ 0.57908893, 0.92928857, 0.74058771, 0.71989 , -0.13311952,
0.88640302],
[ 0.67391992, -0.2854988 , 0.29365718, 0.06447732, -0.12926757,...
BACKWARD_data: array([[[[ 0.57923657, 0.92928588, 0.74055588, 0.71992582, -0.13315882,
0.88643396],
[ 0.6739229 , -0.28549621, 0.29365593, 0.06447371, -0.12932251,...
-------------------- >> begin captured logging << --------------------
common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=104900554 to reproduce.
--------------------- >> end captured logging << ---------------------
```
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
users@infra.apache.org
With regards,
Apache Git Services