code: def test_gb_matching(self) -> None:
      net = BasicModel_ConvNet_One_Conv()
      inp = 100.0 * torch.randn(1, 1, 4, 4)
      self._guided_backprop_matching_assert(net, net.relu2, inp)
  
file_path: captum/tests/attr/test_guided_backprop.py
imports: import unittest
  from typing import Any, List, Tuple, Union
  import torch
  from captum._utils.typing import TensorLikeList, TensorOrTupleOfTensorsGeneric
  from captum.attr._core.guided_backprop_deconvnet import GuidedBackprop
  from captum.attr._core.neuron.neuron_guided_backprop_deconvnet import NeuronGuidedBackprop
  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_gb_matching() without return types