code: def _xla_execute(fn, args, nprocs):
      import torch_xla.distributed.xla_multiprocessing as xmp
  
      spawn_kwargs = {}
      if "COLAB_TPU_ADDR" in os.environ:
          spawn_kwargs["start_method"] = "fork"
  
      try:
          xmp.spawn(
              _xla_template_worker_task,
              args=(fn, args),
              nprocs=nprocs,
              **spawn_kwargs,
          )
      except SystemExit as ex_:
          assert ex_.code == 0, "Didn't successfully exit in XLA test"
  
imports: import functools
  import os
  import shutil
  import sys
  import tempfile
  import time
  from pathlib import Path
  import pytest
  import torch
  import torch.distributed
  import ignite.distributed
label_desc: Use image node_id 20 for calling a global function with example usage: _xla_execute(fn, args, nprocs) without return types