code: def setup_method(self):
      super().setup_method()
      self.env = normalize(
          GymEnv("InvertedDoublePendulum-v2", max_episode_length=100)
      )
      self.policy = GaussianMLPPolicy(
          env_spec=self.env.spec,
          hidden_sizes=(64, 64),
          hidden_nonlinearity=tf.nn.tanh,
          output_nonlinearity=None,
      )
      self.baseline = GaussianMLPBaseline(
          env_spec=self.env.spec,
          hidden_sizes=(32, 32),
      )
      self.sampler = LocalSampler(
          agents=self.policy,
          envs=self.env,
          max_episode_length=self.env.spec.max_episode_length,
          is_tf_worker=True,
      )
  
imports: import pytest
  import tensorflow
  from garage.envs import GymEnv, normalize
  from garage.experiment import deterministic, snapshotter
  from garage.np.baselines import LinearFeatureBaseline
  from garage.sampler import LocalSampler
  from garage.tf.algos import TRPO
  from garage.tf.baselines import GaussianCNNBaseline, GaussianMLPBaseline
  from garage.tf.optimizers import FiniteDifferenceHVP
  from garage.tf.policies import CategoricalCNNPolicy, CategoricalGRUPolicy, CategoricalLSTMPolicy, GaussianMLPPolicy
  from garage.trainer import TFTrainer
  from tests.fixtures import snapshot_config, TfGraphTestCase
label_desc: Use image node_id 1 for calling the TestTRPO obj's underlying member method code with example usage: obj.setup_method() without return types