def get_mean_square_error(x, y):
      ret = tensorflow.reduce_mean(tensorflow.square(tensorflow.subtract(x, y)))
      try:
        ret = ret.numpy()
      except AttributeError:
        ret = ret.eval()
      return ret

    min_max_mse = get_mean_square_error(original_output, min_max_output)
    average_min_max_mse = get_mean_square_error(