code: def test_get_action(self, obs_dim, action_dim, hidden_sizes):
      env = GymEnv(
          DummyDiscreteEnv(obs_dim=obs_dim, action_dim=action_dim)
      )
      qf = DiscreteMLPDuelingQFunction(
          env_spec=env.spec,
          hidden_sizes=hidden_sizes,
          hidden_w_init=tf.ones_initializer(),
          output_w_init=tf.ones_initializer(),
      )
      obs = np.full(obs_dim, 1)
  
      expected_output = np.full(
          action_dim, obs_dim[-1] * np.prod(hidden_sizes)
      )
  
      outputs = self.sess.run(qf.q_vals, feed_dict={qf.input: [obs]})
      assert np.array_equal(outputs[0], expected_output)
  
      outputs = self.sess.run(
          qf.q_vals, feed_dict={qf.input: [obs, obs, obs]}
      )
      for output in outputs:
          assert np.array_equal(output, expected_output)
  
file_path: garage/tests/garage/tf/q_functions/test_discrete_mlp_dueling_q_function.py
imports: import pickle
  import numpy
  import pytest
  import tensorflow
  from garage.envs import GymEnv
  from garage.tf.q_functions import DiscreteMLPDuelingQFunction
  from tests.fixtures import TfGraphTestCase
  from tests.fixtures.envs.dummy import DummyDiscreteEnv
label_desc: Use image node_id 1 for calling the TestDiscreteMLPDuelingQFunction obj's underlying member method code with example usage: obj.test_get_action(obs_dim, action_dim, hidden_sizes) without return types