code: def test_fit_unnormalized(self):
      box_env_spec = GymEnv(DummyBoxEnv(obs_dim=(2,))).spec
      cmb = ContinuousMLPBaseline(
          env_spec=box_env_spec, normalize_inputs=False
      )
      train_paths, _, paths, expected = get_train_test_data()
  
      for _ in range(20):
          cmb.fit(train_paths)
  
      prediction = cmb.predict(paths)
  
      assert np.allclose(prediction, expected, rtol=0, atol=0.1)
  
      x_mean = self.sess.run(cmb._x_mean)
      x_mean_expected = np.zeros_like(x_mean)
      x_std = self.sess.run(cmb._x_std)
      x_std_expected = np.ones_like(x_std)
  
      assert np.allclose(x_mean, x_mean_expected)
      assert np.allclose(x_std, x_std_expected)
  
file_path: garage/tests/garage/tf/baselines/test_continuous_mlp_baseline.py
imports: import pickle
  import numpy
  import pytest
  import tensorflow
  from garage.envs import GymEnv
  from garage.tf.baselines import ContinuousMLPBaseline
  from tests.fixtures import TfGraphTestCase
  from tests.fixtures.envs.dummy import DummyBoxEnv
label_desc: Use image node_id 2 for calling the TestContinuousMLPBaseline obj's underlying member method code with example usage: obj.test_fit_unnormalized() without return types