code: def test_get_set_state(self):
      config = self._get_config(self.model_configs[0])
      model = build_model(config["model"])
      fake_input = torch.Tensor(1, 3, 224, 224).float()
      model.eval()
      state = model.get_classy_state()
      with torch.no_grad():
          output = model(fake_input)
  
      model2 = build_model(config["model"])
      model2.set_classy_state(state)
  
      # compare the states
      state2 = model2.get_classy_state()
      self._compare_model_state(state, state2)
  
      model2.eval()
      with torch.no_grad():
          output2 = model2(fake_input)
      self.assertTrue(torch.allclose(output, output2))
  
      # test deep_copy by assigning a deep copied state to model2
      # and then changing the original model's state
      state = model.get_classy_state(deep_copy=True)
  
      model3 = build_model(config["model"])
      state3 = model3.get_classy_state()
  
      # assign model2's state to model's and also re-assign model's state
      model2.set_classy_state(state)
      model.set_classy_state(state3)
  
      # compare the states
      state2 = model2.get_classy_state()
      self._compare_model_state(state, state2)
  
file_path: ClassyVision/test/manual/models_classy_vision_model_test.py
imports: import copy
  import unittest
  from collections import defaultdict
  import torch
  from classy_vision.heads import build_head
  from classy_vision.models import build_model, ClassyModel
  from test.generic.config_utils import get_test_model_configs
  from test.generic.utils import compare_model_state
label_desc: Use image node_id 4 for calling the TestClassyModel obj's underlying member method code with example usage: obj.test_get_set_state() without return types