code: def test_simple_input_conv(self) -> None:
      net = BasicModel_ConvNet_One_Conv()
      inp = 1.0 * torch.arange(16, dtype=torch.float).view(1, 1, 4, 4)
      ex = [
          [
              [
                  [0.0, 0.0, 4.0, 4.0],
                  [0.0, 0.0, 12.0, 8.0],
                  [28.0, 84.0, 97.5, 65.0],
                  [28.0, 56.0, 65.0, 32.5],
              ]
          ]
      ]
      self._guided_grad_cam_test_assert(net, net.relu1, inp, ex)
  
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 1 for calling the Test obj's underlying member method code with example usage: obj.test_simple_input_conv() without return types