[GitHub] ChaiBapchya opened a new issue #12676: Mismatched Shapes in Value Error

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

ChaiBapchya opened a new issue #12676: Mismatched Shapes in Value Error
URL: https://github.com/apache/incubator-mxnet/issues/12676
 
 
   ## Description
   Shapes given in the Value error seem to be mismatched between expected and got
   
   Python
   
   Compiler: visual studio
   
   MXNet commit hash: 769165b1794f9067e42c65477b3c2fe91a606f89
   
   ## Error Message:
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
     File "/Users/bapac/workspace/incubator-mxnet/python/mxnet/ndarray/utils.py", line 146, in array
       return _array(source_array, ctx=ctx, dtype=dtype)
     File "/Users/bapac/workspace/incubator-mxnet/python/mxnet/ndarray/ndarray.py", line 2489, in array
       arr[:] = source_array
     File "/Users/bapac/workspace/incubator-mxnet/python/mxnet/ndarray/ndarray.py", line 444, in __setitem__
       self._set_nd_basic_indexing(key, value)
     File "/Users/bapac/workspace/incubator-mxnet/python/mxnet/ndarray/ndarray.py", line 710, in _set_nd_basic_indexing
       self._sync_copyfrom(value)
     File "/Users/bapac/workspace/incubator-mxnet/python/mxnet/ndarray/ndarray.py", line 872, in _sync_copyfrom
       str(self.shape), str(source_array.shape)))
   ValueError: Shape inconsistent: expected () vs got (1,)
   
   
   ## Minimum reproducible example
   `mx.nd.array(1)`
   
   Correct way of initialization right now is to feed a list,
   ```
   >>> a=mx.nd.array([1])
   >>> a
   
   [1.]
   <NDArray 1 @cpu(0)>
   ```
   Shape of such an NDarray is 
   ```
   >>> a.shape
   (1,)
   ```
   
   Meaning, it expects (1,)
   However, when we feed ()
   It should give error 
   
   `ValueError: Shape inconsistent: expected (1,) vs got ()`
   

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