code: def _deserialize(s: bytes, proto: _Proto) -> _Proto:
      """Parse bytes into a in-memory proto.
  
      Args:
          s: bytes containing serialized proto
          proto: a in-memory proto object
  
      Returns:
          The proto instance filled in by `s`.
  
      Raises:
          TypeError: if `proto` is not a protobuf message.
      """
      if not isinstance(s, bytes):
          raise TypeError(
              f"Parameter 's' must be bytes, but got type: {type(s)}"
          )
  
      if not (
          hasattr(proto, "ParseFromString")
          and callable(proto.ParseFromString)
      ):
          raise TypeError(
              f"No ParseFromString method is detected. Type is {type(proto)}"
          )
  
      decoded = typing.cast(Optional[int], proto.ParseFromString(s))
      if decoded is not None and decoded != len(s):
          raise google.protobuf.message.DecodeError(
              f"Protobuf decoding consumed too few bytes: {decoded} out of {len(s)}"
          )
      return proto
  
imports: import os
  import typing
  from typing import Union, IO, Optional, TypeVar, Any
  import google.protobuf.message
  from onnx.onnx_cpp2py_export import ONNX_ML
  from onnx.external_data_helper import load_external_data_for_model, write_external_data_tensors, convert_model_to_external_data
  from onnx.onnx_pb import AttributeProto, EXPERIMENTAL, FunctionProto, GraphProto, IR_VERSION, IR_VERSION_2017_10_10, IR_VERSION_2017_10_30, IR_VERSION_2017_11_3, IR_VERSION_2019_1_22, IR_VERSION_2019_3_18, IR_VERSION_2019_9_19, IR_VERSION_2020_5_8, IR_VERSION_2021_7_30, ModelProto, NodeProto, OperatorSetIdProto, OperatorStatus, STABLE, SparseTensorProto, StringStringEntryProto, TensorAnnotation, TensorProto, TensorShapeProto, TrainingInfoProto, TypeProto, ValueInfoProto, Version
  from onnx.onnx_operators_pb import OperatorProto, OperatorSetProto
  from onnx.onnx_data_pb import MapProto, OptionalProto, SequenceProto
  from onnx.version import version
  from onnx import checker, compose, defs, gen_proto, helper, hub, mapping, numpy_helper, parser, printer, shape_inference, utils, version_converter
label_desc: Use image node_id 5 for calling a global function with example usage: _deserialize(s, proto) and returns: proto