code: def test_is_pickleable(self):
      box_env_spec = GymEnv(DummyBoxEnv(obs_dim=(2,))).spec
      gmb = GaussianMLPBaseline(env_spec=box_env_spec)
      _, _, _, paths, _ = get_train_test_data()
  
      with tf.compat.v1.variable_scope(
          "GaussianMLPBaseline", reuse=True
      ):
          bias = tf.compat.v1.get_variable(
              "dist_params/mean_network/hidden_0/bias"
          )
      bias.load(tf.ones_like(bias).eval())
  
      prediction = gmb.predict(paths)
  
      h = pickle.dumps(gmb)
  
      with tf.compat.v1.Session(graph=tf.Graph()):
          gmb_pickled = pickle.loads(h)
          prediction2 = gmb_pickled.predict(paths)
  
          assert np.array_equal(prediction, prediction2)
  
file_path: garage/tests/garage/tf/baselines/test_gaussian_mlp_baseline.py
imports: import pickle
  from unittest import mock
  import numpy
  import pytest
  import tensorflow
  from garage.envs import GymEnv
  from garage.tf.baselines import GaussianMLPBaseline
  from tests.fixtures import TfGraphTestCase
  from tests.fixtures.envs.dummy import DummyBoxEnv
label_desc: Use image node_id 7 for calling the TestGaussianMLPBaseline obj's underlying member method code with example usage: obj.test_is_pickleable() without return types