code: def test_state_dict_to():
      """Test state_dict_to"""
      set_seed(42)
      # Using tensor instead of Tensor so it can be declared on GPU
      # pylint: disable=not-callable
      expected = collections.OrderedDict(
          [
              (
                  "_module._layers.0.linear.weight",
                  tensor(
                      [
                          [
                              0.13957974,
                              -0.2693157,
                              -0.19351028,
                              0.09471931,
                              -0.43573233,
                              0.03590716,
                              -0.4272097,
                              -0.13935488,
                              -0.35843086,
                              -0.25814268,
                              0.03060348,
                          ],
                          [
                              0.20623916,
                              -0.1914061,
                              0.46729338,
                              -0.5437773,
                              -0.50449526,
                              -0.55039907,
                              0.0141218,
                              -0.02489783,
                              0.26499796,
                              -0.03836302,
                              0.7235093,
                          ],
                      ],
                      device="cuda:0",
                  ),
              ),
              (
                  "_module._layers.0.linear.bias",
                  tensor([0.0, 0.0], device="cuda:0"),
              ),
              (
                  "_module._layers.1.linear.weight",
                  tensor(
                      [
                          [-0.7181905, -0.6284401],
                          [0.10591025, -0.14771031],
                      ],
                      device="cuda:0",
                  ),
              ),
              (
                  "_module._layers.1.linear.bias",
                  tensor([0.0, 0.0], device="cuda:0"),
              ),
              (
                  "_module._output_layers.0.linear.weight",
                  tensor([[-0.29133463, 0.58353233]], device="cuda:0"),
              ),
              (
                  "_module._output_layers.0.linear.bias",
                  tensor([0.0], device="cuda:0"),
              ),
          ]
      )
      # pylint: enable=not-callable
      env = normalize(GymEnv("InvertedDoublePendulum-v2"))
      policy = DeterministicMLPPolicy(
          env_spec=env.spec,
          hidden_sizes=[2, 2],
          hidden_nonlinearity=F.relu,
          output_nonlinearity=torch.tanh,
      )
      moved_state_dict = state_dict_to(policy.state_dict(), "cuda")
      assert np.all(
          [
              torch.allclose(expected[key], moved_state_dict[key])
              for key in expected.keys()
          ]
      )
      assert np.all(
          [
              moved_state_dict[key].is_cuda
              for key in moved_state_dict.keys()
          ]
      )
  
imports: import collections
  import numpy
  import pytest
  import torch
  from torch import tensor
  import torch.nn.functional
  from garage.envs import GymEnv, normalize
  from garage.experiment.deterministic import set_seed
  from garage.torch import as_torch_dict, compute_advantages, flatten_to_single_vector, global_device, pad_to_last, product_of_gaussians, set_gpu_mode, state_dict_to, torch_to_np
  import garage.torch._functions
  from garage.torch.policies import DeterministicMLPPolicy
  from tests.fixtures import TfGraphTestCase
label_desc: Use image node_id 7 for calling a global function with example usage: test_state_dict_to() without return types