code: def __init__(self, output_dim=2, hidden_sizes=(4, 4), name=None):
      super().__init__(name)
      self._output_dim = output_dim
      self._hidden_sizes = hidden_sizes
  
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 SimpleModel2 object from inherited base classes: Model with example: obj = SimpleModel2(output_dim, hidden_sizes, name)