code: def isfinite(data):
      
      is_data_not_nan = data == data
      is_data_not_infinite = data.abs() != np.inf
      return ndarray.logical_and(is_data_not_infinite, is_data_not_nan)
docs: Performs an element-wise check to determine if the NDArray contains an infinite element
      or not.
  
  
      Parameters
      ----------
      input : NDArray
          An N-D NDArray.
  
      Returns
      -------
      output: NDArray
          The output NDarray, with same shape as input, where 1 indicates the array element is
          finite i.e. not equal to positive or negative infinity and 0 in places where it is
          positive or negative infinity.
  
      Examples
      --------
      >>> data = mx.nd.array([np.inf, -np.inf, np.NINF, -1])
      >>> output = mx.nd.contrib.isfinite(data)
      >>> output
      [0. 0. 0. 1.]
      <NDArray 4 @cpu(0)>