code: def test_sequential_module(self) -> None:
      model = Conv1dSeqModel()
      layer_act = LayerActivation(model, model.seq)
      input = torch.randn(2, 4, 1000)
      out = model(input)
      assertTensorAlmostEqual(self, layer_act.attribute(input), out)
  
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 14 for calling the Test obj's underlying member method code with example usage: obj.test_sequential_module() without return types