code: def setup_multiprocessing_method(method_name: str):
      """
      PyTorch supports several multiprocessing options: forkserver | spawn | fork
  
      We recommend and use forkserver as the default method in VISSL.
      """
      try:
          mp.set_start_method(method_name, force=True)
          logging.info(
              "Set start method of multiprocessing to {}".format(
                  method_name
              )
          )
      except RuntimeError:
          pass
  
imports: import collections
  import collections.abc
  import logging
  import os
  import random
  import sys
  import tempfile
  import time
  from functools import partial, wraps
  from typing import Tuple
  import numpy
  import pkg_resources
  import torch
  import torch.multiprocessing
  from iopath.common.file_io import g_pathmgr
  from scipy.sparse import csr_matrix
  from vissl.utils.extract_features_utils import ExtractedFeaturesLoader
label_desc: Use image node_id 8 for calling a global function with example usage: setup_multiprocessing_method(method_name) without return types