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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/06/24 21:01:30 UTC
[GitHub] vdantu commented on issue #9864: Flaky hanging
test_operator.test_laop_3
vdantu commented on issue #9864: Flaky hanging test_operator.test_laop_3
URL: https://github.com/apache/incubator-mxnet/issues/9864#issuecomment-399787341
@marcoabreu :
I wasn't able to reproduce this issue. Am I doing anything wrong? Is it possible to know when this test last failed?
# Environment
Tried running on: Python 3.6.4
Build command: cmake -DUSE_CUDA=OFF -DUSE_CUDNN=OFF -DUSE_MKLDNN=ON .. && make -j 4
EC2 instance: C5.4xlarge
# Test Output
## Single test run
/home/ubuntu/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
/home/ubuntu/anaconda3/lib/python3.6/site-packages/nose/util.py:453: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() or inspect.getfullargspec()
inspect.getargspec(func)
[INFO] Setting module np/mx/python random seeds, use MXNET_MODULE_SEED=116898012 to reproduce.
test_operator.test_laop_3 ... [INFO] Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
ok
----------------------------------------------------------------------
Ran 1 test in 1.784s
OK
## Multiple count test run
/home/ubuntu/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be t\
reated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
/home/ubuntu/anaconda3/lib/python3.6/site-packages/nose/util.py:453: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() or inspect.getfullargspec()
inspect.getargspec(func)
[INFO] Setting module np/mx/python random seeds, use MXNET_MODULE_SEED=1436798750 to reproduce.
test_operator.test_laop_3 ... [INFO] 1 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 2 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 3 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 5 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 6 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 7 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 8 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 9 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 10 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 11 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 12 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 13 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 14 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 15 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 16 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 17 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 18 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 19 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 20 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
......
......
[INFO] 4218 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4219 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4220 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4221 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4222 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4223 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4224 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4225 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4226 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4227 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4228 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4229 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4230 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
[INFO] 4231 of 10000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1896893923 to reproduce.
....
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