code: def test_simple_multi_input_relu_internal_inf(self) -> None:
      net = BasicModel_MultiLayer_MultiInput()
      inp1 = torch.tensor([[0.0, 10.0, 1.0]])
      inp2 = torch.tensor([[0.0, 4.0, 5.0]])
      inp3 = torch.tensor([[0.0, 0.0, 0.0]])
      self._internal_influence_test_assert(
          net,
          net.model.relu,
          (inp1, inp2),
          [[1.0, 1.0, 1.0, 1.0]],
          additional_args=(inp3, 5),
      )
  
imports: import unittest
  from typing import Any, List, Tuple, Union
  import torch
  from captum._utils.typing import BaselineType
  from captum.attr._core.layer.internal_influence import InternalInfluence
  from tests.helpers.basic import assertTensorTuplesAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel_MultiLayer, BasicModel_MultiLayer_MultiInput
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 10 for calling the Test obj's underlying member method code with example usage: obj.test_simple_multi_input_relu_internal_inf() without return types