class_docstr: Base class for ONNX exportable model describing metadata on how to export the model through the ONNX format.
docstr: Which onnx opset to use when exporting the model
  
  Returns:
      Integer ONNX Opset version
docstr_tok: ["Which","onnx","opset","to","use","when","exporting","the","model","Returns",":","Integer","ONNX","Opset","version"]
code: def default_onnx_opset(self) -> int:
      """
      Which onnx opset to use when exporting the model
  
      Returns:
          Integer ONNX Opset version
      """
      return DEFAULT_ONNX_OPSET
  
imports: import copy
  import dataclasses
  import warnings
  from abc import ABC, abstractmethod
  from collections import OrderedDict
  from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Mapping, Optional, Tuple, Union
  import numpy
  from packaging import version
  from ..utils import TensorType, is_torch_available, is_vision_available, logging
  from .utils import ParameterFormat, compute_effective_axis_dimension, compute_serialized_parameters_size
label_desc: Use image node_id 9 for calling the OnnxConfig obj's underlying member method code with example usage: obj.default_onnx_opset() and returns: DEFAULT_ONNX_OPSET