code: def test_get_action(self, obs_dim, action_dim, obs_type):
      assert obs_type in ["discrete", "dict"]
      if obs_type == "discrete":
          env = GymEnv(
              DummyDiscreteEnv(obs_dim=obs_dim, action_dim=action_dim)
          )
      else:
          env = GymEnv(
              DummyDictEnv(
                  obs_space_type="box", act_space_type="discrete"
              )
          )
      policy = CategoricalMLPPolicy(env_spec=env.spec)
      obs = env.reset()[0]
      if obs_type == "discrete":
          obs = obs.flatten()
      action, _ = policy.get_action(obs)
      assert env.action_space.contains(action)
  
      actions, _ = policy.get_actions([obs, obs, obs])
      for action in actions:
          assert env.action_space.contains(action)
  
file_path: garage/tests/garage/tf/policies/test_categorical_mlp_policy.py
imports: import pickle
  import numpy
  import pytest
  import tensorflow
  from garage.envs import GymEnv
  from garage.tf.policies import CategoricalMLPPolicy
  from tests.fixtures import TfGraphTestCase
  from tests.fixtures.envs.dummy import DummyBoxEnv, DummyDictEnv, DummyDiscreteEnv
label_desc: Use image node_id 2 for calling the TestCategoricalMLPPolicy obj's underlying member method code with example usage: obj.test_get_action(obs_dim, action_dim, obs_type) without return types