code: def test_output_values(self, output_dim, hidden_sizes):
      model = MLPModel(
          output_dim=output_dim,
          hidden_sizes=hidden_sizes,
          hidden_nonlinearity=None,
          hidden_w_init=tf.ones_initializer(),
          output_w_init=tf.ones_initializer(),
      )
      outputs = model.build(self.input_var).outputs
      output = self.sess.run(
          outputs, feed_dict={self.input_var: self.obs}
      )
  
      expected_output = np.full(
          [1, output_dim], 5 * np.prod(hidden_sizes)
      )
  
      assert np.array_equal(output, expected_output)
  
file_path: garage/tests/garage/tf/models/test_mlp_model.py
imports: import pickle
  import numpy
  import pytest
  import tensorflow
  from garage.tf.models import MLPDuelingModel, MLPMergeModel, MLPModel
  from tests.fixtures import TfGraphTestCase
label_desc: Use image node_id 2 for calling the TestMLPModel obj's underlying member method code with example usage: obj.test_output_values(output_dim, hidden_sizes) without return types