code: def restore_ops(self):
      for spec in self._patching_specs:
          orig_op = (
              spec.orig_op
              if spec.op_wrapper is None
              else spec.op_wrapper(spec.orig_op)
          )
          setattr(spec.o, spec.name, orig_op)
  
imports: import dataclasses
  import functools
  import inspect
  import math
  import sys
  import types
  from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Union
  import transformers
  from packaging import version
  from transformers.models.speecht5.modeling_speecht5 import SpeechT5EncoderWithSpeechPrenet
  from transformers.utils import is_torch_available
  from ...configuration_utils import _transformers_version
  from ...utils import logging
label_desc: Use image node_id 3 for calling the ModelPatcher obj's underlying member method code with example usage: obj.restore_ops() without return types