Thank you @gigasquid and @vrakesh
It is indeed an Apple issue and the trick on stackoverflow.com seems to have
worked.
However, to ascertain, do you have this test fail ?
nosetests tests/python/unittest/test_operator.py:test_dot
/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
objc[92988]: Class CaptureDelegate is implemented in both
/usr/local/opt/opencv/lib/libopencv_videoio.3.4.dylib (0x10cf78288) and
/anaconda3/lib/python3.6/site-packages/cv2/cv2.cpython-36m-darwin.so
(0x1a1f6a72c0). One of the two will be used. Which one is undefined.
[INFO] Setting module np/mx/python random seeds, use
MXNET_MODULE_SEED=663137163 to reproduce.
[INFO] Setting test np/mx/python random seeds, use MXNET_TEST_SEED=691337631 to
reproduce.
F
======================================================================
FAIL: test_operator.test_dot
----------------------------------------------------------------------
Traceback (most recent call last):
File "/anaconda3/lib/python3.6/site-packages/nose/case.py", line 197, in
runTest
self.test(*self.arg)
File
"/Users/dRoberts/workspace/incubator-mxnet/tests/python/unittest/common.py",
line 172, in test_new
orig_test(*args, **kwargs)
File
"/Users/dRoberts/workspace/incubator-mxnet/tests/python/unittest/test_operator.py",
line 2641, in test_dot
atol=1e-2 if data_type == 'float16' else 1e-3)
File "/Users/dRoberts/workspace/incubator-mxnet/python/mxnet/test_utils.py",
line 491, in assert_almost_equal
raise AssertionError(msg)
AssertionError:
Items are not equal:
Error 89.639374 exceeds tolerance rtol=0.001000, atol=0.001000. Location of
maximum error:(0, 0), a=-0.089639, b=0.000000
a: array([[-0.08963938]], dtype=float32)
b: array([[0.]], dtype=float32)
-------------------- >> begin captured logging << --------------------
common: INFO: Setting module np/mx/python random seeds, use
MXNET_MODULE_SEED=663137163 to reproduce.
common: INFO: Setting test np/mx/python random seeds, use
MXNET_TEST_SEED=691337631 to reproduce.
--------------------- >> end captured logging << ---------------------
----------------------------------------------------------------------
Ran 1 test in 0.115s
FAILED (failures=1)
[ Full content available at:
https://github.com/apache/incubator-mxnet/issues/12727 ]
This message was relayed via gitbox.apache.org for devnull@infra.apache.org
