def METHOD_NAME(x, y):
  for i in range(3):
    with tf.name_scope('decoder%03d' % i):
      x = tf.identity(x)
      y = tf.identity(y)
      y = y + 1
      if decoder_reduce_sum:
        tpu_summary.scalar(
            'x_mean', tf.reduce_mean(x), while_loop_reduce='sum')
        tpu_summary.scalar(
            'y_mean', tf.reduce_mean(y), while_loop_reduce='sum')
      else:
        tpu_summary.scalar('x_mean', tf.reduce_mean(x))
        tpu_summary.scalar('y_mean', tf.reduce_mean(y))
  return x, y