code: def test_augmented_lstm(self):
      # test every configuration
      for num_layers in [1, 2, 3]:
          for dropout in [0.0, 0.5]:
              for use_highway in [True, False]:
                  for bi in [True, False]:
                      self._test_shape(
                          use_highway, dropout, num_layers, bi
                      )
  
imports: import unittest
  import torch
  from pytext.models.representations.augmented_lstm import AugmentedLSTM
label_desc: Use image node_id 2 for calling the AugmentedLSTMTest obj's underlying member method code with example usage: obj.test_augmented_lstm() without return types