code: def test_sigmoid_classification_smoothgrad(self) -> None:
      self._assert_sigmoid_classification("smoothgrad", "riemann_left")
  
imports: import unittest
  import torch
  from captum._utils.typing import BaselineType, Tensor
  from captum.attr._core.integrated_gradients import IntegratedGradients
  from captum.attr._core.noise_tunnel import NoiseTunnel
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
  from tests.helpers.classification_models import SigmoidModel, SoftmaxModel
  from torch.nn import Module
label_desc: Use image node_id 2 for calling the Test obj's underlying member method code with example usage: obj.test_sigmoid_classification_smoothgrad() without return types