code: def tensor_dtype_to_storage_tensor_dtype(tensor_dtype: int) -> int:
      """Convert a TensorProto's data_type to corresponding data_type for storage.
  
      Args:
          tensor_dtype: TensorProto's data_type
  
      Returns:
          data_type for storage
      """
      return mapping.TENSOR_TYPE_MAP[tensor_dtype].storage_dtype
  
imports: import collections.abc
  import numbers
  import struct
  from cmath import isnan
  from typing import Any, Callable, Dict, KeysView, List, Optional, Sequence, Tuple, TypeVar, Union, cast
  import google.protobuf.message
  import numpy
  from onnx import IR_VERSION, AttributeProto, FunctionProto, GraphProto, MapProto, ModelProto, NodeProto, OperatorSetIdProto, OptionalProto, SequenceProto, SparseTensorProto, TensorProto, TensorShapeProto, TrainingInfoProto, TypeProto, ValueInfoProto, defs, mapping, subbyte
label_desc: Use image node_id 47 for calling a global function with example usage: tensor_dtype_to_storage_tensor_dtype(tensor_dtype) and returns: mapping