code: def test_inplace_maxpool_relu_with_custom_attr_func(self) -> None:
      model = BasicModel_MaxPool_ReLU(inplace=True)
      inp = torch.tensor([[[1.0, 2.0, -4.0], [-3.0, -2.0, -1.0]]])
      dl = LayerDeepLift(model, model.maxpool)
  
      def custom_att_func(mult, inp, baseline):
          assertTensorAlmostEqual(self, mult[0], [[[1.0], [0.0]]])
          assertTensorAlmostEqual(self, inp[0], [[[2.0], [-1.0]]])
          assertTensorAlmostEqual(self, baseline[0], [[[0.0], [0.0]]])
          return mult
  
      dl.attribute(inp, custom_attribution_func=custom_att_func)
  
imports: from __future__ import print_function
  from typing import cast, List, Tuple, Union
  import torch
  from captum.attr._core.layer.layer_deep_lift import LayerDeepLift, LayerDeepLiftShap
  from tests.helpers.basic import assert_delta, assertTensorAlmostEqual, assertTensorTuplesAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel_ConvNet, BasicModel_ConvNet_MaxPool3d, BasicModel_MaxPool_ReLU, BasicModel_MultiLayer, LinearMaxPoolLinearModel, ReLULinearModel
  from torch import Tensor
label_desc: Use image node_id 7 for calling the TestDeepLift obj's underlying member method code with example usage: obj.test_inplace_maxpool_relu_with_custom_attr_func() and returns: mult