code: def test_single_shapley_int_batch_scalar_tensor_0d(self) -> None:
      net = BasicModel_MultiLayer()
      self._single_int_input_multi_sample_batch_scalar_shapley_assert(
          lambda inp: torch.sum(net(inp.float()))
      )
  
imports: import io
  import unittest
  import unittest.mock
  from typing import Any, Callable, Tuple, Union
  import torch
  from captum._utils.typing import BaselineType, TensorOrTupleOfTensorsGeneric
  from captum.attr._core.shapley_value import ShapleyValues, ShapleyValueSampling
  from tests.helpers.basic import assertTensorTuplesAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel_MultiLayer, BasicModel_MultiLayer_MultiInput, BasicModelBoolInput
label_desc: Use image node_id 17 for calling the Test obj's underlying member method code with example usage: obj.test_single_shapley_int_batch_scalar_tensor_0d() without return types