ChaiBapchya opened a new issue #16616: [Flaky] test_numpy_op.test_np_einsum URL: https://github.com/apache/incubator-mxnet/issues/16616 ## Description ``` ====================================================================== FAIL: test_numpy_op.test_np_einsum ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/local/lib/python3.5/dist-packages/nose/case.py", line 198, in runTest self.test(*self.arg) File "/work/mxnet/tests/python/unittest/common.py", line 177, in test_new orig_test(*args, **kwargs) File "/work/mxnet/python/mxnet/util.py", line 315, in _with_np_shape return func(*args, **kwargs) File "/work/mxnet/python/mxnet/util.py", line 499, in _with_np_array return func(*args, **kwargs) File "/work/mxnet/tests/python/unittest/test_numpy_op.py", line 3524, in test_np_einsum assert_almost_equal(out_mx.asnumpy(), expected_np, rtol=rtol, atol=atol) File "/work/mxnet/python/mxnet/test_utils.py", line 627, in assert_almost_equal raise AssertionError(msg) AssertionError: Items are not equal: Error 1.669922 exceeds tolerance rtol=1.000000e+00, atol=1.000000e-01 (mismatch 25.000000%). Location of maximum error: (0, 1), a=0.24609375, b=0.02963257 ACTUAL: array([[156. , 0.2461], [433.2 , -30.8 ]], dtype=float16) DESIRED: array([[156. , 0.02963], [433.2 , -30.72 ]], dtype=float16) -------------------- >> begin captured stdout << --------------------- *** Maximum errors for vector of size 4: rtol=1.0, atol=0.1 1: Error 1.669922 Location of error: (0, 1), a=0.24609375, b=0.02963257 --------------------- >> end captured stdout << ---------------------- -------------------- >> begin captured logging << -------------------- 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: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1120100586 to reproduce. --------------------- >> end captured logging << --------------------- ``` ## Occurrences Unrelated PR - #16599 http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/mxnet-validation%2Funix-cpu/detail/PR-16599/5/pipeline ## What have you tried to solve it? Nothing
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