code: def __init__(self, parent_model, output_dim=2, name=None):
      super().__init__(name)
      self._output_dim = output_dim
      self._parent_model = parent_model
      self._output_model = SimpleModel2(output_dim=output_dim)
  
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 1 to create a new ComplicatedModel2 object from inherited base classes: Model with example: obj = ComplicatedModel2(parent_model, output_dim, name)