code: def test_multiple_linear_internal_inf(self) -> None:
      net = BasicModel_MultiLayer()
      inp = torch.tensor(
          [
              [0.0, 100.0, 0.0],
              [0.0, 100.0, 0.0],
              [0.0, 100.0, 0.0],
              [0.0, 100.0, 0.0],
          ],
          requires_grad=True,
      )
      self._internal_influence_test_assert(
          net,
          net.linear1,
          inp,
          [
              [0.9, 1.0, 1.0, 1.0],
              [0.9, 1.0, 1.0, 1.0],
              [0.9, 1.0, 1.0, 1.0],
              [0.9, 1.0, 1.0, 1.0],
          ],
      )
  
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 12 for calling the Test obj's underlying member method code with example usage: obj.test_multiple_linear_internal_inf() without return types