code: def test_compare_with_layer_conductance_attr_to_outputs(self) -> None:
      model = BasicModel_MultiLayer()
      input = torch.tensor([[50.0, 50.0, 50.0]], requires_grad=True)
      self._assert_compare_with_layer_conductance(model, input)
  
imports: from typing import Any, cast, List, Tuple, Union
  import torch
  from captum.attr._core.integrated_gradients import IntegratedGradients
  from captum.attr._core.layer.layer_activation import LayerActivation
  from captum.attr._core.layer.layer_conductance import LayerConductance
  from captum.attr._core.layer.layer_integrated_gradients import LayerIntegratedGradients
  from captum.attr._models.base import configure_interpretable_embedding_layer, remove_interpretable_embedding_layer
  from tests.helpers.basic import assertTensorAlmostEqual, assertTensorTuplesAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicEmbeddingModel, BasicModel_MultiLayer, BasicModel_MultiLayer_TrueMultiInput
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 4 for calling the Test obj's underlying member method code with example usage: obj.test_compare_with_layer_conductance_attr_to_outputs() without return types