code: def test_reusable_modules(self) -> None:
      model = BasicModelWithReusedModules()
      input = torch.rand(1, 3)
      dl = DeepLift(model)
      with self.assertRaises(RuntimeError):
          dl.attribute(input, target=0)
  
imports: from inspect import signature
  from typing import Callable, List, Tuple, Union
  import torch
  from captum.attr._core.deep_lift import DeepLift, DeepLiftShap
  from captum.attr._core.integrated_gradients import IntegratedGradients
  from tests.helpers.basic import assertAttributionComparision, assertTensorAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModelWithReusedModules, Conv1dSeqModel, LinearMaxPoolLinearModel, ReLUDeepLiftModel, ReLULinearModel, TanhDeepLiftModel
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 17 for calling the Test obj's underlying member method code with example usage: obj.test_reusable_modules() without return types