code: def test_relu_linear_deepliftshap_compare_inplace(self) -> None:
      model1 = ReLULinearModel(inplace=True)
      x1 = torch.tensor(
          [[-10.0, 1.0, -5.0], [2.0, 3.0, 4.0]], requires_grad=True
      )
      x2 = torch.tensor(
          [[3.0, 3.0, 1.0], [2.3, 5.0, 4.0]], requires_grad=True
      )
      inputs = (x1, x2)
      b1 = torch.tensor([[0.0, 0.0, 0.0], [1.0, 1.0, 1.0]])
      b2 = torch.tensor([[0.0, 0.0, 0.0], [1.0, 1.0, 1.0]])
      baselines = (b1, b2)
  
      attributions1 = DeepLiftShap(model1).attribute(inputs, baselines)
  
      model2 = ReLULinearModel()
      attributions2 = DeepLiftShap(model2).attribute(inputs, baselines)
      assertTensorAlmostEqual(self, attributions1[0], attributions2[0])
      assertTensorAlmostEqual(self, attributions1[1], attributions2[1])
  
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 8 for calling the Test obj's underlying member method code with example usage: obj.test_relu_linear_deepliftshap_compare_inplace() without return types