code: def test_load_state_dict(self):
      state_dict = torch_module.state_dict()
      model_definition = torch.nn.Linear(1, 1)
      assert model_definition.state_dict() != state_dict
  
      assert (
          load_torch_model(state_dict, model_definition).state_dict()
          == state_dict
      )
  
file_path: ray/python/ray/train/tests/test_torch_utils.py
imports: import numpy
  import pandas
  import pytest
  import torch
  from ray.air._internal.torch_utils import contains_tensor, convert_pandas_to_torch_tensor, load_torch_model
  from ray.util.debug import _test_some_code_for_memory_leaks
label_desc: Use image node_id 2 for calling the TestLoadTorchModel obj's underlying member method code with example usage: obj.test_load_state_dict() without return types