code: def augment(x, shift: int, mirror=True):
      """
      Augmentation function used in training the model.
      """
      y = x["image"]
      if mirror:
          y = tf.image.random_flip_left_right(y)
      y = tf.pad(y, [[shift] * 2, [shift] * 2, [0] * 2], mode="REFLECT")
      y = tf.image.random_crop(y, tf.shape(x["image"]))
      return dict(image=y, label=x["label"])
  
imports: import functools
  import os
  import shutil
  from typing import Callable
  import json
  import jax
  import jax.numpy
  import numpy
  import tensorflow
  import tensorflow_datasets
  from absl import app, flags
  import objax
  from objax.jaxboard import SummaryWriter, Summary
  from objax.util import EasyDict
  from objax.zoo import convnet, wide_resnet
  from dataset import DataSet
label_desc: Use image node_id 1 for calling a global function with example usage: augment(x, shift, mirror) and returns: dict