code: def test_model(self):
      outputs = self.choose_random_outputs()
      module = models.ActorCritic(num_outputs=outputs)
      params = ppo_lib.get_initial_params(jax.random.key(0), module)
      test_batch_size, obs_shape = 10, (84, 84, 4)
      random_input = np.random.random(
          size=(test_batch_size,) + obs_shape
      )
      log_probs, values = agent.policy_action(
          module.apply, params, random_input
      )
      self.assertEqual(values.shape, (test_batch_size, 1))
      sum_probs = np.sum(np.exp(log_probs), axis=1)
      self.assertEqual(sum_probs.shape, (test_batch_size,))
      np_testing.assert_allclose(
          sum_probs, np.ones((test_batch_size,)), atol=1e-6
      )
  
imports: from absl.testing import absltest
  from flax.training import train_state
  import jax
  import ml_collections
  import numpy
  import numpy.testing
  import agent
  import env_utils
  import models
  import ppo_lib
label_desc: Use image node_id 2 for calling the TestModel obj's underlying member method code with example usage: obj.test_model() without return types