code: def zeros(shape, ctx=None, dtype=None, stype=None, **kwargs):
      
  
      if stype is None or stype == 'default':
          return _zeros_ndarray(shape, ctx, dtype, **kwargs)
      else:
          return _zeros_sparse_ndarray(stype, shape, ctx, dtype, **kwargs)
docs: Return a new array of given shape and type, filled with zeros.
  
      Parameters
      ----------
      shape : int or tuple of int
          The shape of the empty array
      ctx : Context, optional
          An optional device context (default is the current default context)
      dtype : str or numpy.dtype, optional
          An optional value type (default is `float32`)
      stype: string, optional
          The storage type of the empty array, such as 'row_sparse', 'csr', etc.
  
      Returns
      -------
      NDArray, CSRNDArray or RowSparseNDArray
          A created array
      Examples
      --------
      >>> mx.nd.zeros((1,2), mx.cpu(), stype='csr')
      <CSRNDArray 1x2 @cpu(0)>
      >>> mx.nd.zeros((1,2), mx.cpu(), 'float16', stype='row_sparse').asnumpy()
      array([[ 0.,  0.]], dtype=float16)