code: def test_multi_inp_kernel_shap_scalar_tensor_0d(self) -> None:
      net = BasicModel_MultiLayer_MultiInput()
      self._multi_input_scalar_kernel_shap_assert(
          lambda *inp: torch.sum(net(*inp))
      )
  
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 19 for calling the Test obj's underlying member method code with example usage: obj.test_multi_inp_kernel_shap_scalar_tensor_0d() without return types