code: def test_box_cuda(self) -> None:
      env = Gym(env_name="CartPole-v0")
      device = torch.device("cuda")
      obs_preprocessor = env.get_obs_preprocessor(device=device)
      obs = env.reset()
      state = obs_preprocessor(obs)
      self.assertTrue(state.has_float_features_only)
      self.assertEqual(state.float_features.shape, (1, obs.shape[0]))
      self.assertEqual(state.float_features.dtype, torch.float32)
      # `device` doesn't have index. So we need this.
      x = torch.zeros(1, device=device)
      self.assertEqual(state.float_features.device, x.device)
      npt.assert_array_almost_equal(
          obs, state.float_features.cpu().squeeze(0)
      )
  
file_path: ReAgent/reagent/gym/tests/preprocessors/test_default_preprocessors.py
imports: import unittest
  import numpy.testing
  import torch
  import torch.nn.functional
  from reagent.gym.envs import Gym
label_desc: Use image node_id 2 for calling the TestMakeDefaultObsPreprocessor obj's underlying member method code with example usage: obj.test_box_cuda() without return types