code: def test_simple_batch_kernel_shap(self) -> None:
      net = BasicModel_MultiLayer()
      inp = torch.tensor(
          [[2.0, 10.0, 3.0], [20.0, 50.0, 30.0]], requires_grad=True
      )
      self._kernel_shap_test_assert(
          net,
          inp,
          [[7.0, 32.5, 10.5], [76.66666, 196.66666, 116.66666]],
          perturbations_per_eval=(1, 2, 3),
          n_samples=20000,
      )
  
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 7 for calling the Test obj's underlying member method code with example usage: obj.test_simple_batch_kernel_shap() without return types