code: def test_improper_method_multi_input_conv(self) -> None:
      net = BasicModel_ConvNet_One_Conv()
      inp = torch.arange(16, dtype=torch.float).view(1, 1, 4, 4)
      inp2 = torch.ones(1)
      self._guided_grad_cam_test_assert(
          net,
          net.conv1,
          (inp, inp2),
          ([], []),
          interpolate_mode="made_up_nonlinear",
      )
  
file_path: captum/tests/attr/test_guided_grad_cam.py
imports: import unittest
  from typing import Any
  import torch
  from captum._utils.typing import TensorOrTupleOfTensorsGeneric
  from captum.attr._core.guided_grad_cam import GuidedGradCam
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel_ConvNet_One_Conv
  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_improper_method_multi_input_conv() without return types