code: def save_tensor(proto: TensorProto, f: Union[IO[bytes], str]) -> None:
      """
      Saves the TensorProto to the specified path.
  
      Args:
          proto: should be a in-memory TensorProto
          f: can be a file-like object (has "write" function) or a string containing a file name
          format: for future use
      """
      serialized = _serialize(proto)
      _save_bytes(serialized, f)
  
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 11 for calling a global function with example usage: save_tensor(proto, f) without return types