code: def int_to_device(device: Union[int, torch.device]) -> torch.device:
      if isinstance(device, torch.device):
          return device
      if device < 0:
          return torch.device("cpu")
      return torch.device(device)
  
imports: import hashlib
  import io
  from datetime import timedelta
  import importlib
  import json
  import logging
  import os
  import pkgutil
  import random
  import sys
  import signal
  from contextlib import contextmanager
  from itertools import islice, zip_longest
  from pathlib import Path
  from typing import Any, Callable, Dict, Generator, Iterable, Iterator, List, Optional, Tuple, TypeVar, Union, Sequence, Set
  import dill
  import numpy
  import spacy
  import torch
  import torch.distributed
  from spacy.cli.download import download
  from spacy.language import Language
  import base58
  from allennlp.common.checks import log_pytorch_version_info
  from allennlp.common.params import Params
label_desc: Use image node_id 16 for calling a global function with example usage: int_to_device(device) and returns: torch, device, torch