code: def test_set_state(self, device_0, device_1):
      set_determinism(0)
      model_one = _TestModelOne(10, 20, 3)
      model_two = _TestModelTwo(10, 20, 10, 4)
      model_one.to(device_0)
      model_two.to(device_1)
      model_dict, ch, unch = copy_model_state(model_one, model_two)
      x = np.random.randn(4, 10)
      x = torch.tensor(x, device=device_0, dtype=torch.float32)
      output = model_one(x).detach().cpu().numpy()
      expected = np.array(
          [
              [-0.36076584, -0.03177825, -0.7702266],
              [-0.0526831, -0.15855855, -0.01149344],
              [-0.3760508, -0.22485238, -0.0634037],
              [0.5977675, -0.67991066, 0.1919502],
          ]
      )
      np.testing.assert_allclose(output, expected, atol=1e-3)
      self.assertEqual(len(ch), 2)
      self.assertEqual(len(unch), 2)
  
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.networks.utils import copy_model_state
  from monai.utils import set_determinism
label_desc: Use image node_id 2 for calling the TestModuleState obj's underlying member method code with example usage: obj.test_set_state(device_0, device_1) without return types