kpuatamazon commented on issue #19081:
URL:
https://github.com/apache/incubator-mxnet/issues/19081#issuecomment-740214808
```
nosetests test_numpy_op.py:test_np_round
[INFO] Setting test np/mx/python random seeds, use MXNET_TEST_SEED=675318784
to reproduce.
[WARNING] Error seen with seeded test, use MXNET_TEST_SEED=675318784 to
reproduce.
F
======================================================================
FAIL: test_numpy_op.test_np_round
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/home/ubuntu/mxnet-fallback-venv/lib/python3.6/site-packages/nose/case.py",
line 198, in runTest
self.test(*self.arg)
File "/home/ubuntu/mxnet-fallback/tests/python/unittest/common.py", line
218, in test_new
orig_test(*args, **kwargs)
File "/home/ubuntu/mxnet-fallback/python/mxnet/util.py", line 297, in
_with_np_shape
return func(*args, **kwargs)
File "/home/ubuntu/mxnet-fallback/python/mxnet/util.py", line 481, in
_with_np_array
return func(*args, **kwargs)
File "/home/ubuntu/mxnet-fallback/tests/python/unittest/test_numpy_op.py",
line 6585, in test_np_round
assert_almost_equal(mx_out.asnumpy(), np_out, rtol=rtol, atol=atol)
File "/home/ubuntu/mxnet-fallback/python/mxnet/test_utils.py", line 749,
in assert_almost_equal
raise AssertionError(msg)
AssertionError:
Items are not equal:
Error 3.662956 exceeds tolerance rtol=1.000000e-03, atol=1.000000e-05
(mismatch 16.666667%).
Location of maximum error: (0, 0, 1), a=-0.26400000, b=-0.26300001
ACTUAL: array([[[-0.32400003, -0.264 , 1.54 ],
[-0.9969999 , -0.317 , -0.249 ]]], dtype=float32)
DESIRED: array([[[-0.324, -0.263, 1.54 ],
[-0.997, -0.317, -0.249]]], dtype=float32)
-------------------- >> begin captured stdout << ---------------------
*** Maximum errors for vector of size 6: rtol=0.001, atol=1e-05
1: Error 3.662956 Location of error: (0, 0, 1), a=-0.26400000,
b=-0.26300001
--------------------- >> end captured stdout << ----------------------
-------------------- >> begin captured logging << --------------------
common: INFO: Setting test np/mx/python random seeds, use
MXNET_TEST_SEED=675318784 to reproduce.
root: INFO: NumPy-shape semantics has been activated in your code. This is
required for creating and manipulating scalar and zero-size tensors, which were
not supported in MXNet before, as in the official NumPy library. Please DO NOT
manually deactivate this semantics while using `mxnet.numpy` and
`mxnet.numpy_extension` modules.
common: WARNING: Error seen with seeded test, use MXNET_TEST_SEED=675318784
to reproduce.
--------------------- >> end captured logging << ---------------------
----------------------------------------------------------------------
Ran 1 test in 0.142s
FAILED (failures=1)
```
Seen in
https://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-19601/4/pipeline
based on v1.x
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