code: def test_saliency_classification_vargrad(self) -> None:
      self._saliency_classification_assert(nt_type="vargrad")
  
imports: from typing import Any, cast, Tuple, Union
  import torch
  from captum._utils.gradient import compute_gradients
  from captum._utils.typing import TensorOrTupleOfTensorsGeneric
  from captum.attr._core.noise_tunnel import NoiseTunnel
  from captum.attr._core.saliency import Saliency
  from tests.helpers.basic import assertTensorAlmostEqual, assertTensorTuplesAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel, BasicModel5_MultiArgs
  from tests.helpers.classification_models import SoftmaxModel
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 13 for calling the Test obj's underlying member method code with example usage: obj.test_saliency_classification_vargrad() without return types