[GitHub] [incubator-mxnet] JanuszL opened a new issue #17850: np.longlong is not supported by nd.empty while it is by nd.zeros

[GitBox <gi...@apache.org>]

JanuszL opened a new issue #17850: np.longlong is not supported by nd.empty while it is by nd.zeros
URL: https://github.com/apache/incubator-mxnet/issues/17850
 
 
   ## Description
   nd.empty doesn't support type np.longlong while nd.zeros does. So it is a quite inconsistency.
   
   ### Error Message
   ```
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
     File "/usr/local/lib/python3.6/dist-packages/mxnet/ndarray/utils.py", line 103, in empty
       return _empty_ndarray(shape, ctx, dtype)
     File "/usr/local/lib/python3.6/dist-packages/mxnet/ndarray/ndarray.py", line 3955, in empty
       return NDArray(handle=_new_alloc_handle(shape, ctx, False, dtype))
     File "/usr/local/lib/python3.6/dist-packages/mxnet/ndarray/ndarray.py", line 140, in _new_alloc_handle
       ctypes.c_int(int(_DTYPE_NP_TO_MX[np.dtype(dtype).type])),
   KeyError: <class 'numpy.longlong'>
   ```
   
   ## To Reproduce
   It works:
   ```
   import mxnet as mx
   import numpy as np
   mx.nd.zeros([2,1,3], dtype=np.longlong)
   ```
   while it doesn't
   ```
   import mxnet as mx
   import numpy as np
   mx.nd.empty([2,1,3], dtype=np.longlong)
   ```
   
   
   ### Steps to reproduce
   As above
   
   ## What have you tried to solve it?
   
   Nothing
   
   ## Environment
   mxnet-cu100==1.5.1.post0
   
   We recommend using our script for collecting the diagnositc information. Run the following command and paste the outputs below:
   ```
   curl --retry 10 -s https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py | python
   
   # paste outputs here
   ```
   

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