code: def setUp(self):
      super(AdversarialLossTest, self).setUp()
      self.adv_step_size = 0.01
      self.adv_config = configs.make_adv_reg_config(
          adv_step_size=self.adv_step_size, adv_grad_norm="infinity"
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import os
  from absl.testing import parameterized
  import neural_structured_learning.configs
  from neural_structured_learning.keras import adversarial_regularization
  import numpy
  import tensorflow
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 1 for calling the AdversarialLossTest obj's underlying member method code with example usage: obj.setUp() without return types