code: def _relu_custom_attr_func_assert(
      self,
      attr_method: Union[LayerDeepLift, LayerDeepLiftShap],
      inputs: Union[Tensor, Tuple[Tensor, ...]],
      baselines: Union[Tensor, Tuple[Tensor, ...]],
      expected: List[List[float]],
  ) -> None:
      def custom_attr_func(multipliers, inputs, baselines):
          return tuple(multiplier * 2 for multiplier in multipliers)
  
      attr = attr_method.attribute(
          inputs,
          baselines,
          custom_attribution_func=custom_attr_func,
          return_convergence_delta=True,
      )
  
      assertTensorAlmostEqual(self, attr[0], expected, 1e-19)
  
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 17 for calling the TestDeepLift obj's underlying member method code with example usage: obj._relu_custom_attr_func_assert(attr_method, inputs, baselines, expected) and returns: tuple