code: def test_simple_conductance_input_relu(self) -> None:
      net = BasicModel_MultiLayer()
      inp = torch.tensor([[0.0, 70.0, 30.0]], requires_grad=True)
      self._conductance_input_test_assert(
          net, net.relu, inp, (3,), [0.0, 70.0, 30.0]
      )
  
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 5 for calling the Test obj's underlying member method code with example usage: obj.test_simple_conductance_input_relu() without return types