code: def setup_tutorial():
      """
      Helper function to check correct configuration of tf for tutorial
      :return: True if setup checks completed
      """
  
      # Set TF random seed to improve reproducibility
      tf.set_random_seed(1234)
  
      return True
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import functools
  import logging
  import numpy
  from six.moves import xrange
  import tensorflow
  from cleverhans.attacks import FastGradientMethod
  from cleverhans.utils_tf import jacobian_graph, jacobian_augmentation
  from cleverhans.compat import flags
  from cleverhans.dataset import MNIST
  from cleverhans.initializers import HeReLuNormalInitializer
  from cleverhans.loss import CrossEntropy
  from cleverhans.model import Model
  from cleverhans.train import train
  from cleverhans.utils import set_log_level
  from cleverhans.utils import TemporaryLogLevel
  from cleverhans.utils import to_categorical
  from cleverhans.utils_tf import model_eval, batch_eval
  from cleverhans.model_zoo.basic_cnn import ModelBasicCNN
label_desc: Use image node_id 1 for calling a global function with example usage: setup_tutorial() and returns: True