code: def test_state_dict(self) -> None:
      gs_state_dict = self.grad_sample_module.state_dict()
      og_state_dict = self.original_model.state_dict()
      # check wrapped module state dict
      for key in og_state_dict.keys():
          self.assertTrue(f"_module.{key}" in gs_state_dict)
          assert_close(
              og_state_dict[key], gs_state_dict[f"_module.{key}"]
          )
  
imports: import unittest
  import torch
  import torch.nn
  import torch.nn.functional
  from opacus.grad_sample import GradSampleModule
  from opacus.grad_sample.gsm_exp_weights import GradSampleModuleExpandedWeights
  from opacus.grad_sample.linear import compute_linear_grad_sample
  from opacus.grad_sample.utils import register_grad_sampler
  from torch.testing import assert_close
  from torch.utils.data import DataLoader
  from torchvision import transforms
  from torchvision.datasets import FakeData
  from torchvision.models import mobilenet_v3_small
label_desc: Use image node_id 12 for calling the GradSampleModuleTest obj's underlying member method code with example usage: obj.test_state_dict() without return types