TaoLv opened a new issue #17219: Flaky test: 
test_numpy_op.test_npi_boolean_assign
URL: https://github.com/apache/incubator-mxnet/issues/17219
 
 
   ## Description
   test_numpy_op.test_npi_boolean_assign
   
   ## Occurrences
   ```
   MXNET_TEST_SEED=952277814 nosetests -s -v 
test_numpy_op:test_npi_boolean_assign
   test_numpy_op.test_npi_boolean_assign ... [INFO] Setting test np/mx/python 
random seeds, use MXNET_TEST_SEED=952277814 to reproduce.
   ((3, 4), (3, 4), 0)
   ((3, 0), (3, 0), 0)
   ((), (), 0)
   ((2, 3, 4, 5), (2, 3), 0)
   ERROR
   
   ======================================================================
   ERROR: test_numpy_op.test_npi_boolean_assign
   ----------------------------------------------------------------------
   Traceback (most recent call last):
     File 
"/home/lvtao/miniconda3/envs/mxnet/lib/python3.6/site-packages/nose/case.py", 
line 198, in runTest
       self.test(*self.arg)
     File 
"/home/lvtao/Workspace/mxnet-official/tests/python/unittest/common.py", line 
221, in test_new
       orig_test(*args, **kwargs)
     File 
"/home/lvtao/miniconda3/envs/mxnet/lib/python3.6/site-packages/mxnet/util.py", 
line 321, in _with_np_shape
       return func(*args, **kwargs)
     File 
"/home/lvtao/miniconda3/envs/mxnet/lib/python3.6/site-packages/mxnet/util.py", 
line 505, in _with_np_array
       return func(*args, **kwargs)
     File 
"/home/lvtao/Workspace/mxnet-official/tests/python/unittest/test_numpy_op.py", 
line 1327, in test_npi_boolean_assign
       np_data[np_mask, :, :] = val
   ValueError: shape mismatch: value array of shape (0,) could not be broadcast 
to indexing result of shape (0,4,5)
   -------------------- >> begin captured logging << --------------------
   common: INFO: Setting test np/mx/python random seeds, use 
MXNET_TEST_SEED=952277814 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.
   --------------------- >> end captured logging << ---------------------
   
   ----------------------------------------------------------------------
   Ran 1 test in 0.052s
   
   FAILED (errors=1)
   ```
   
   ## What have you tried to solve it?
   None
   

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