code: def add_int_list_tensor_from_arg(self, op, keyword):
      list_value_arg = ConverterUtil.get_arg(op, keyword)
      mace_check(
          list_value_arg.ints is not None,
          op.name + ": " + keyword + " value ints should not be None",
      )
      list_value_tensor = self._model.tensors.add()
      list_value_tensor.name = op.name + "/" + keyword + ":0"
      list_value_tensor.data_type = mace_pb2.DT_INT32
      list_value_tensor.dims.extend([len(list_value_arg.ints)])
      list_value_tensor.int32_data.extend(list_value_arg.ints)
      op.input.extend([list_value_tensor.name])
  
imports: import copy
  import numpy
  from enum import Enum
  from operator import mul
  from py_proto import mace_pb2
  from transform import base_converter
  from transform.base_converter import ConverterUtil
  from transform.base_converter import EltwiseType
  from transform.base_converter import MaceKeyword
  from transform.base_converter import MaceOp
  from transform.base_converter import PaddingMode
  from transform.base_converter import PadType
  from transform.base_converter import PoolingType
  from transform.base_converter import ReduceType
  from transform.base_converter import DataFormat
  from transform.base_converter import FrameworkType
  from utils.util import mace_check
label_desc: Use image node_id 13 for calling the ApuConverter obj's underlying member method code with example usage: obj.add_int_list_tensor_from_arg(op, keyword) without return types