stu1130 commented on issue #16389: [Flaky] test_np_max_min on windows URL: https://github.com/apache/incubator-mxnet/issues/16389#issuecomment-539625993 observe the same error in np_mean windows_gpu ``` ====================================================================== ERROR: test_numpy_op.test_np_mean ---------------------------------------------------------------------- Traceback (most recent call last): File "C:\Python37\lib\site-packages\nose\case.py", line 198, in runTest self.test(*self.arg) File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\unittest\common.py", line 177, in test_new orig_test(*args, **kwargs) File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\util.py", line 307, in _with_np_shape return func(*args, **kwargs) File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\util.py", line 491, in _with_np_array return func(*args, **kwargs) File "C:\jenkins_slave\workspace\ut-python-gpu\tests\python\unittest\test_numpy_op.py", line 800, in test_np_mean assert_almost_equal(mx_out.asnumpy(), np_out, rtol=1e-3, atol=1e-5, use_broadcast=False) File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\ndarray\ndarray.py", line 2504, in asnumpy ctypes.c_size_t(data.size))) File "C:\jenkins_slave\workspace\ut-python-gpu\windows_package\python\mxnet\base.py", line 254, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: [05:47:40] c:\jenkins_slave\workspace\build-gpu\include\mxnet\tuple.h:390: Check failed: ndim >= -1 (-278127078 vs. -1) : shape ndim must be >= -1, while received -278127078 -------------------- >> 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=1811468884 to reproduce. ```
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