code: def test_lrp_simple_repeat_attributions(self) -> None:
      model, inputs = _get_simple_model()
      model.eval()
      model.linear.rule = GammaRule()
      model.linear2.rule = Alpha1_Beta0_Rule()
      output = model(inputs)
      lrp = LayerLRP(model, model.linear)
      _ = lrp.attribute(inputs)
      output_after = model(inputs)
      assertTensorAlmostEqual(self, output, output_after)
  
imports: import torch
  import torch.nn
  from captum.attr import LayerLRP
  from captum.attr._utils.lrp_rules import Alpha1_Beta0_Rule, EpsilonRule, GammaRule
  from ...helpers.basic import assertTensorAlmostEqual, BaseTest
  from ...helpers.basic_models import BasicModel_ConvNet_One_Conv, SimpleLRPModel
label_desc: Use image node_id 5 for calling the Test obj's underlying member method code with example usage: obj.test_lrp_simple_repeat_attributions() without return types