code: def distributed_worker(local_rank, main_func, nprocs, dist_url, args):
      dist.init_process_group(
          backend="gloo",
          init_method=dist_url,
          world_size=nprocs,
          rank=local_rank,
      )
      comm.synchronize()
      assert comm._LOCAL_PROCESS_GROUP is None
      pg = dist.new_group(list(range(nprocs)))
      comm._LOCAL_PROCESS_GROUP = pg
      main_func(*args)
  
imports: import io
  import tempfile
  import unittest
  from contextlib import ExitStack
  import torch
  import torch.distributed
  import torch.multiprocessing
  from detectron2.utils import comm
  from densepose.evaluation.tensor_storage import SingleProcessFileTensorStorage, SingleProcessRamTensorStorage, SizeData, storage_gather
label_desc: Use image node_id 3 for calling a global function with example usage: distributed_worker(local_rank, main_func, nprocs, dist_url, args) without return types