code: def __init__(
      self,
      config: PretrainedConfig,
      task: str = "default",
      patching_specs: List[PatchingSpec] = None,
      use_past: bool = False,
  ):
      super().__init__(
          config,
          task=task,
          patching_specs=patching_specs,
          use_past=use_past,
      )
      if not getattr(self._config, "pad_token_id", None):
          # TODO: how to do that better?
          self._config.pad_token_id = 0
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/gpt2/configuration_gpt2.py
imports: from collections import OrderedDict
  from typing import Any, List, Mapping, Optional
  from transformers import PreTrainedTokenizer, TensorType, is_torch_available
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfigWithPast, PatchingSpec
  from ...utils import logging
label_desc: Use image node_id 1 to create a new GPT2OnnxConfig object from inherited base classes: OnnxConfigWithPast with example: obj = GPT2OnnxConfig(config, task, patching_specs, use_past)