code: def _rank_teardown(rank: int) -> None:
      import torch_xla.core.xla_model as xm
  
      # Make all processes wait for each other before joining
      # https://github.com/pytorch/xla/issues/1801#issuecomment-602799542
      xm.rendezvous("end-process")
      # Ensure that the rank 0 process is the one exiting last
      # https://github.com/pytorch/xla/issues/2190#issuecomment-641665358
      if rank == 0:
          time.sleep(1)
  
file_path: pytorch-lightning/src/lightning/fabric/strategies/launchers/xla.py
imports: import queue
  import time
  from typing import TYPE_CHECKING, Any, Callable, Optional, Union
  import torch.multiprocessing
  from typing_extensions import override
  from lightning.fabric.accelerators.xla import _XLA_AVAILABLE
  from lightning.fabric.strategies.launchers.launcher import _Launcher
  from lightning.fabric.strategies.launchers.multiprocessing import _GlobalStateSnapshot
  from lightning.fabric.utilities.apply_func import move_data_to_device
label_desc: Use image node_id 1 for calling a global function with example usage: _rank_teardown(rank) without return types