code: def _np_squeeze(a, axis=None, out=None):
      """
      Remove single-dimensional entries from the shape of an array.
  
      Parameters
      ----------
      a : ndarray
          Input data.
      axis : None or int or tuple of ints, optional
          Selects a subset of the single-dimensional entries in the
          shape. If an axis is selected with shape entry greater than
          one, an error is raised.
      out : ndarray, optional
          Array into which the output is placed. It must have the same size
          and dtype as the input array.
  
      Returns
      -------
      squeezed : ndarray
          The input array, but with all or a subset of the
          dimensions of length 1 removed. It always returns a copy of `a`.
  
      Raises
      ------
      MXNetError
          If `axis` is not `None`, and an axis being squeezed is not of length 1
  
      See Also
      --------
      expand_dims : The inverse operation, adding singleton dimensions
      reshape : Insert, remove, and combine dimensions, and resize existing ones
  
      Examples
      --------
      >>> x = np.array([[[0], [1], [2]]])
      >>> x.shape
      (1, 3, 1)
      >>> np.squeeze(x).shape
      (3,)
      >>> np.squeeze(x, axis=0).shape
      (3, 1)
      >>> np.squeeze(x, axis=1).shape
      Traceback (most recent call last):
      ...
      mxnet.base.MXNetError: cannot select an axis to squeeze out which has size=3 not equal to one
      >>> np.squeeze(x, axis=2).shape
      (1, 3)
      """
      pass
  
file_path: mxnet/python/mxnet/_numpy_op_doc.py
label_desc: Use image node_id 7 for calling a global function with example usage: _np_squeeze(a, axis, out) without return types