code: def _run_data_model_defense(data, model, defense, device):
      defended_model = nn.Sequential(defense, model)
      defended_model.to(device)
      data = data.to(device)
      defended_model(data)
  
file_path: advertorch/tests/test_defenses_running.py
imports: import itertools
  import pytest
  import torch
  import torch.nn
  from advertorch.test_utils import vecdata
  from advertorch.test_utils import vecmodel
  from advertorch.test_utils import imgdata
  from advertorch.test_utils import imgmodel
  from advertorch.test_utils import general_input_defenses
  from advertorch.test_utils import image_only_defenses
  from advertorch.test_utils import withgrad_defenses
  from advertorch.test_utils import nograd_defenses
  from advertorch.test_utils import defense_kwargs
  from advertorch.test_utils import defense_data
label_desc: Use image node_id 1 for calling a global function with example usage: _run_data_model_defense(data, model, defense, device) without return types