code: def test_set_prefix(self, device_0, device_1):
      set_determinism(0)
      model_one = torch.nn.Sequential(_TestModelOne(10, 20, 3))
      model_two = _TestModelTwo(10, 20, 10, 4)
      model_one.to(device_0)
      model_two.to(device_1)
      # test skip layer.bias
      model_dict, ch, unch = copy_model_state(
          model_one,
          model_two,
          dst_prefix="0.",
          exclude_vars="layer.bias",
          inplace=False,
      )
      model_one.load_state_dict(model_dict)
      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(
          [
              [-0.360766, -0.031778, -0.770227],
              [-0.052683, -0.158559, -0.011493],
              [-0.376051, -0.224852, -0.063404],
              [0.597767, -0.679911, 0.19195],
          ]
      )
      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 6 for calling the TestModuleState obj's underlying member method code with example usage: obj.test_set_prefix(device_0, device_1) without return types