code: def test_relu_deeplift_with_custom_attr_func(self) -> None:
      model = ReLULinearModel()
      (
          inputs,
          baselines,
      ) = _create_inps_and_base_for_deeplift_neuron_layer_testing()
      attr_method = LayerDeepLift(model, model.l3)
      self._relu_custom_attr_func_assert(
          attr_method, inputs, baselines, [[2.0]]
      )
  
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 6 for calling the TestDeepLift obj's underlying member method code with example usage: obj.test_relu_deeplift_with_custom_attr_func() without return types