code: def cifar_image_augmentation(images):
      """Image augmentation suitable for CIFAR-10/100.
  
      As described in https://arxiv.org/pdf/1608.06993v3.pdf (page 5).
  
      Args:
        images: a Tensor.
      Returns:
        Tensor of the same shape as images.
      """
      images = tf.image.resize_image_with_crop_or_pad(images, 40, 40)
      images = tf.random_crop(images, [32, 32, 3])
      images = tf.image.random_flip_left_right(images)
      return images
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import io
  import os
  import numpy
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import metrics
  import tensorflow.compat.v1
label_desc: Use image node_id 10 for calling a global function with example usage: cifar_image_augmentation(images) and returns: images