code: def test_simple_multi_layer_multi_output_activation(self) -> None:
      net = BasicModel_MultiLayer(multi_input_module=True)
      inp = torch.tensor([[0.0, 6.0, 0.0]])
      self._multiple_layer_activation_test_assert(
          net,
          [net.multi_relu, net.linear0, net.linear1],
          inp,
          [
              ([[0.0, 7.0, 7.0, 7.0]], [[0.0, 7.0, 7.0, 7.0]]),
              [[0.0, 6.0, 0.0]],
              [[-4.0, 7.0, 7.0, 7.0]],
          ],
      )
  
imports: import unittest
  from typing import Any, List, Tuple, Union
  import torch
  import torch.nn
  from captum.attr._core.layer.layer_activation import LayerActivation
  from tests.helpers.basic import assertTensorAlmostEqual, assertTensorTuplesAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel_MultiLayer, BasicModel_MultiLayer_MultiInput, Conv1dSeqModel
  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_simple_multi_layer_multi_output_activation() without return types