code: def random_shift(x, pad=(4, 4), mode="REFLECT"):
      """Pad a single image and then crop to the original size with a random
      offset."""
      assert mode in "REFLECT SYMMETRIC CONSTANT".split()
      assert x.get_shape().ndims == 3
      xp = tf.pad(x, [[pad[0], pad[0]], [pad[1], pad[1]], [0, 0]], mode)
      return tf.random_crop(xp, tf.shape(x))
  
label_desc: Use image node_id 1 for calling a global function with example usage: random_shift(x, pad, mode) and returns: tf