code: def test_multi_input_ablation(self) -> None:
      net = BasicModel_MultiLayer_MultiInput()
      inp1 = torch.tensor([[23.0, 100.0, 0.0], [20.0, 50.0, 30.0]])
      inp2 = torch.tensor([[20.0, 50.0, 30.0], [0.0, 100.0, 0.0]])
      inp3 = torch.tensor([[0.0, 100.0, 10.0], [2.0, 10.0, 3.0]])
      baseline1 = torch.tensor([[3.0, 0.0, 0.0]])
      baseline2 = torch.tensor([[0.0, 1.0, 0.0]])
      baseline3 = torch.tensor([[1.0, 2.0, 3.0]])
      self._ablation_test_assert(
          net,
          net.model.linear2,
          (inp1, inp2, inp3),
          (
              [[80.0, 400.0, 0.0], [68.0, 200.0, 120.0]],
              [[80.0, 196.0, 120.0], [0.0, 396.0, 0.0]],
              [[-4.0, 392.0, 28.0], [4.0, 32.0, 0.0]],
          ),
          additional_input=(1,),
          baselines=(baseline1, baseline2, baseline3),
          perturbations_per_eval=(1, 2, 3),
      )
      baseline1_exp = torch.tensor([[3.0, 0.0, 0.0], [3.0, 0.0, 2.0]])
      baseline2_exp = torch.tensor([[0.0, 1.0, 0.0], [0.0, 1.0, 4.0]])
      baseline3_exp = torch.tensor([[3.0, 2.0, 4.0], [1.0, 2.0, 3.0]])
      self._ablation_test_assert(
          net,
          net.model.linear2,
          (inp1, inp2, inp3),
          (
              [[80.0, 400.0, 0.0], [68.0, 200.0, 112.0]],
              [[80.0, 196.0, 120.0], [0.0, 396.0, -16.0]],
              [[-12.0, 392.0, 24.0], [4.0, 32.0, 0.0]],
          ),
          additional_input=(1,),
          baselines=(baseline1_exp, baseline2_exp, baseline3_exp),
          perturbations_per_eval=(1, 2, 3),
      )
  
file_path: captum/tests/attr/neuron/test_neuron_ablation.py
imports: import unittest
  from typing import Any, Callable, Tuple, Union
  import torch
  from captum._utils.typing import BaselineType, TensorLikeList, TensorOrTupleOfTensorsGeneric
  from captum.attr._core.neuron.neuron_feature_ablation import NeuronFeatureAblation
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel_ConvNet_One_Conv, BasicModel_MultiLayer, BasicModel_MultiLayer_MultiInput
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 6 for calling the Test obj's underlying member method code with example usage: obj.test_multi_input_ablation() without return types