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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/03/01 00:45:12 UTC
[GitHub] junrushao1994 opened a new issue #14292: [Flaky]
test_operator_gpu.test_adamax
junrushao1994 opened a new issue #14292: [Flaky] test_operator_gpu.test_adamax
URL: https://github.com/apache/incubator-mxnet/issues/14292
http://jenkins.mxnet-ci.amazon-ml.com/blue/rest/organizations/jenkins/pipelines/mxnet-validation/pipelines/unix-gpu/branches/PR-14192/runs/6/nodes/271/log/?start=0
```
======================================================================
FAIL: test_operator_gpu.test_adamax
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/usr/local/lib/python2.7/dist-packages/nose/util.py", line 620, in newfunc
return func(*arg, **kw)
File "/work/mxnet/tests/python/gpu/../unittest/common.py", line 173, in test_new
orig_test(*args, **kwargs)
File "/work/mxnet/tests/python/gpu/../unittest/test_optimizer.py", line 770, in test_adamax
compare_optimizer(opt1(**kwarg), opt2(**kwarg), shape, dtype)
File "/work/mxnet/python/mxnet/test_utils.py", line 2023, in compare_optimizer
assert_almost_equal(w1.asnumpy(), w2.asnumpy(), rtol=rtol, atol=atol)
File "/work/mxnet/python/mxnet/test_utils.py", line 495, in assert_almost_equal
raise AssertionError(msg)
AssertionError:
Items are not equal:
Error nan exceeds tolerance rtol=0.000100, atol=0.000010. Location of maximum error:(1, 2, 1), a=nan, b=nan
a: array([[[0.7721019 , 0.41911712, 0.3334103 , 0.51363254, 0.48365226],
[0.7987629 , 0.83426726, 0.33189234, 0.09513346, 0.8376728 ],
[0.8585542 , 0.4839913 , 0.43884215, 0.9665767 , 0.54798675],...
b: array([[[0.7721019 , 0.41911712, 0.3334103 , 0.51363254, 0.48365226],
[0.7987629 , 0.83426726, 0.33189234, 0.09513346, 0.8376728 ],
[0.8585542 , 0.4839913 , 0.43884215, 0.9665767 , 0.54798675],...
-------------------- >> begin captured logging << --------------------
common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1084535268 to reproduce.
--------------------- >> end captured logging << ---------------------
```
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