code: def get_pad(pad_size):
      """Pads an image.
  
      Args:
        pad_size: either an integer u giving verticle and horizontal pad sizes u, or
          a list or tuple [u, v] of integers where u and v are vertical and
          horizontal pad sizes.
  
      Returns:
        A function for padding an image.
  
      """
      pad_size = utils.maybe_repeat(pad_size, 2)
  
      def _pad(image):
          return tf.pad(
              image,
              [
                  [pad_size[0], pad_size[0]],
                  [pad_size[1], pad_size[1]],
                  [0, 0],
              ],
          )
  
      return _pad
  
imports: from typing import Optional, Tuple
  import numpy
  from scenic.dataset_lib.big_transfer.preprocessing import autoaugment
  from scenic.dataset_lib.big_transfer.preprocessing import utils
  from scenic.dataset_lib.big_transfer.registry import Registry
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_addons import image
label_desc: Use image node_id 8 for calling a global function with example usage: get_pad(pad_size) and returns: _pad, tf