code: def pytorch_multiprocessing_workaround():
      # This is a fix for a known bug
      try:
          torch.multiprocessing.set_start_method("spawn", force=True)
          torch.multiprocessing.set_sharing_strategy("file_system")
      except RuntimeError:
          pass
  
imports: import collections
  import logging
  import multiprocessing
  import os
  import queue
  import random
  import traceback
  import torch
  import tqdm
  import textattack
  from textattack.attack_results import FailedAttackResult, MaximizedAttackResult, SkippedAttackResult, SuccessfulAttackResult
  from textattack.shared.utils import logger
  from .attack import Attack
  from .attack_args import AttackArgs
label_desc: Use image node_id 1 for calling a global function with example usage: pytorch_multiprocessing_workaround() without return types