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 2018/08/01 19:41:30 UTC
[GitHub] piyushghai commented on issue #9816: Dropout may mask values even
when ratio=0.0
piyushghai commented on issue #9816: Dropout may mask values even when ratio=0.0
URL: https://github.com/apache/incubator-mxnet/issues/9816#issuecomment-409697161
On running this on CPU, the flaky error is reproducible, as mentioned in the above comments.
On running this on GPU for 100k times, the test does not fail.
```
MXNET_TEST_COUNT=100000 nosetests --logging-level=DEBUG --verbose -s tests/python/gpu/test_operator_gpu.py:test_dropout
/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=1058042572 to reproduce.
test_operator_gpu.test_dropout ... [DEBUG] 1 of 100000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1077219613 to reproduce.
[DEBUG] 2 of 100000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1986463962 to reproduce.
[DEBUG] 3 of 100000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1446820082 to reproduce.
[DEBUG] 4 of 100000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1300194532 to reproduce.
[DEBUG] 5 of 100000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=576630976 to reproduce.
[DEBUG] 6 of 100000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1613399106 to reproduce.
.
.
.
[DEBUG] 99996 of 100000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=92629950 to reproduce.
[DEBUG] 99997 of 100000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=104203650 to reproduce.
[DEBUG] 99998 of 100000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1609587233 to reproduce.
[DEBUG] 99999 of 100000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=194799359 to reproduce.
[DEBUG] 100000 of 100000: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=675994555 to reproduce.
ok
----------------------------------------------------------------------
Ran 1 test in 7130.900s
OK
```
On running on GPU with the failure seeds for CPU : 111913613, 211508467, 1329041279, the test still does not fail.
```
MXNET_TEST_SEED=1329041279 nosetests --logging-level=DEBUG --verbose -s tests/python/gpu/test_operator_gpu.py:test_dropout
/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=1997611840 to reproduce.
/home/ubuntu/incubator-mxnet/tests/python/gpu/../unittest/common.py:244: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
logger.warn('*** test-level seed set: all "@with_seed()" tests run deterministically ***')
[WARNING] *** test-level seed set: all "@with_seed()" tests run deterministically ***
test_operator_gpu.test_dropout ... [INFO] Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1329041279 to reproduce.
ok
----------------------------------------------------------------------
Ran 1 test in 2.103s
OK
```
----------------------------------------------------------------
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