code: def test_output_values_merging(self, output_dim, hidden_sizes):
      model = MLPMergeModel(
          output_dim=output_dim,
          hidden_sizes=hidden_sizes,
          concat_layer=0,
          hidden_nonlinearity=None,
          hidden_w_init=tf.ones_initializer(),
          output_w_init=tf.ones_initializer(),
      )
  
      input_var2 = tf.compat.v1.placeholder(tf.float32, shape=(None, 5))
      obs2 = np.ones((1, 5))
  
      outputs = model.build(self.input_var, input_var2).outputs
      output = self.sess.run(
          outputs,
          feed_dict={self.input_var: self.obs, input_var2: obs2},
      )
  
      expected_output = np.full(
          [1, output_dim], 10 * 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 4 for calling the TestMLPModel obj's underlying member method code with example usage: obj.test_output_values_merging(output_dim, hidden_sizes) without return types