code: def test_lrp_simple_inplaceReLU(self) -> None:
      model_default, inputs = _get_simple_model()
      model_inplace, _ = _get_simple_model(inplace=True)
      for model in [model_default, model_inplace]:
          model.eval()
          model.linear.rule = EpsilonRule()  # type: ignore
          model.linear2.rule = EpsilonRule()  # type: ignore
      lrp_default = LRP(model_default)
      lrp_inplace = LRP(model_inplace)
      relevance_default = lrp_default.attribute(inputs)
      relevance_inplace = lrp_inplace.attribute(inputs)
      assertTensorAlmostEqual(
          self, relevance_default, relevance_inplace
      )
  
imports: from typing import cast, Tuple
  import torch
  import torch.nn
  from captum.attr import InputXGradient, LRP
  from captum.attr._utils.lrp_rules import Alpha1_Beta0_Rule, EpsilonRule, GammaRule, IdentityRule
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel_ConvNet_One_Conv, BasicModel_MultiLayer, BasicModelWithReusedLinear, SimpleLRPModel
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 7 for calling the Test obj's underlying member method code with example usage: obj.test_lrp_simple_inplaceReLU() without return types