code: def load_tensor(
      f: Union[IO[bytes], str],
      format: Optional[Any] = None,  # pylint: disable=redefined-builtin
  ) -> TensorProto:
      """Loads a serialized TensorProto into memory.
  
      Args:
          f: can be a file-like object (has "read" function) or a string containing a file name
          format: for future use
  
      Returns:
          Loaded in-memory TensorProto.
      """
      s = _load_bytes(f)
      return load_tensor_from_string(s, format=format)
  
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 7 for calling a global function with example usage: load_tensor(f, format) and returns: load_tensor_from_string