code: def test_model_in_model(self):
      input_var = tf.compat.v1.placeholder(tf.float32, shape=(None, 5))
      model = ComplicatedModel(output_dim=2)
      outputs = model.build(input_var).outputs
      data = np.ones((3, 5))
      out, model_out = self.sess.run(
          [outputs, model._networks["default"].outputs],
          feed_dict={model._networks["default"].input: data},
      )
  
      assert np.array_equal(out, model_out)
  
imports: import pickle
  import numpy
  import pytest
  import tensorflow
  from garage.tf.models.mlp import mlp
  from garage.tf.models.model import Model
  from tests.fixtures import TfGraphTestCase
label_desc: Use image node_id 6 for calling the TestModel obj's underlying member method code with example usage: obj.test_model_in_model() without return types