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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/02/13 17:42:06 UTC
[GitHub] perdasilva commented on issue #10973: Flaky test_deconvolution
perdasilva commented on issue #10973: Flaky test_deconvolution
URL: https://github.com/apache/incubator-mxnet/issues/10973#issuecomment-463295164
I'm seeing this again on an unrelated PR:
```
======================================================================
FAIL: test_operator_gpu.test_deconvolution
----------------------------------------------------------------------
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 173, in test_new
orig_test(*args, **kwargs)
File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\test_operator.py", line 1413, in test_deconvolution
pad = (1,1)
File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\gpu\../unittest\test_operator.py", line 1305, in check_deconvolution_forward_backward
assert_almost_equal(out + args_grad_addto_npy[0], args_grad_addto[0].asnumpy(), rtol=1e-3, atol=1e-3)
File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\test_utils.py", line 495, in assert_almost_equal
raise AssertionError(msg)
AssertionError:
Items are not equal:
Error 1.290297 exceeds tolerance rtol=0.001000, atol=0.001000. Location of maximum error:(31, 2, 7, 11), a=0.181059, b=0.182585
a: array([[[[ 71.53303956, 27.22900263, -81.94053338, ..., 131.83555384,
0.14714987, -125.67693774],
[ 71.65034077, -127.16477248, 97.06501721, ..., 224.75550074,...
b: array([[[[ 71.53299713, 27.22902107, -81.94055176, ..., 131.83551025,
0.14712699, -125.6769104 ],
[ 71.65033722, -127.1647644 , 97.06500244, ..., 224.75546265,...
-------------------- >> begin captured logging << --------------------
common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1614629591 to reproduce.
--------------------- >> end captured logging << ---------------------
```
http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Fwindows-gpu/detail/PR-14144/6/pipeline
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