code: def test_layer_tuple_selector_fn(self) -> None:
      net = BasicModel_MultiLayer(multi_input_module=True)
      inp = torch.tensor([[0.0, 6.0, 0.0]])
      self._conductance_input_test_assert(
          net,
          net.multi_relu,
          inp,
          lambda x: x[0][:, 1],
          [0.0, 6.0, 0.0],
      )
  
imports: import unittest
  from typing import Any, Callable, cast, List, Tuple, Union
  import torch
  from captum._utils.typing import BaselineType, TensorOrTupleOfTensorsGeneric
  from captum.attr._core.layer.layer_conductance import LayerConductance
  from captum.attr._core.neuron.neuron_conductance import NeuronConductance
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel_ConvNet, BasicModel_MultiLayer, BasicModel_MultiLayer_MultiInput
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 9 for calling the Test obj's underlying member method code with example usage: obj.test_layer_tuple_selector_fn() without return types