code: def test_linear_kernel_shap(self) -> None:
      net = BasicModel_MultiLayer()
      inp = torch.tensor([[20.0, 50.0, 30.0]], requires_grad=True)
      baseline = torch.tensor([[10.0, 20.0, 10.0]], requires_grad=True)
  
      self._kernel_shap_test_assert(
          net,
          inp,
          [[40.0, 120.0, 80.0]],
          n_samples=500,
          baselines=baseline,
          expected_coefs=[[40.0, 120.0, 80.0]],
      )
  
imports: import io
  import unittest
  import unittest.mock
  from typing import Any, Callable, List, Tuple, Union
  import torch
  from captum._utils.typing import BaselineType, TensorOrTupleOfTensorsGeneric
  from captum.attr._core.kernel_shap import KernelShap
  from tests.helpers.basic import assertTensorAlmostEqual, assertTensorTuplesAlmostEqual, BaseTest, set_all_random_seeds
  from tests.helpers.basic_models import BasicLinearModel, BasicModel_MultiLayer, BasicModel_MultiLayer_MultiInput
label_desc: Use image node_id 2 for calling the Test obj's underlying member method code with example usage: obj.test_linear_kernel_shap() without return types