code: def get_madry_et_al_cifar10_train_transform():
      return transforms.Compose(
          [
              transforms.Pad(4, padding_mode="reflect"),
              transforms.RandomCrop(32),
              transforms.RandomHorizontalFlip(),
              transforms.ToTensor(),
          ]
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import os
  import sys
  import pathlib
  from torch.utils.data.dataset import Subset
  import numpy
  import torch
  import torchvision.transforms
  import torchvision.datasets
  from advertorch.test_utils import LeNet5
label_desc: Use image node_id 8 for calling a global function with example usage: get_madry_et_al_cifar10_train_transform() and returns: transforms