code: def test_load_state_dict_fail(self):
      with pytest.raises(ValueError):
          # model_definition is required to load state dict.
          load_torch_model(torch_module.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 3 for calling the TestLoadTorchModel obj's underlying member method code with example usage: obj.test_load_state_dict_fail() without return types