code: def _spawn_all_meter_workers(self, world_size, meters, is_train):
      filename = tempfile.NamedTemporaryFile(delete=True).name
      qins = []
      qerrs = []
      qouts = []
  
      for i in range(world_size):
          qin, qout, qerr = self._spawn(
              _meter_worker,
              meters[i],
              is_train,
              world_size,
              i,
              filename,
          )
          qins.append(qin)
          qouts.append(qout)
          qerrs.append(qerr)
  
      return qins, qouts, qerrs
  
imports: import multiprocessing
  import queue
  import tempfile
  import unittest
  import torch
label_desc: Use image node_id 11 for calling the ClassificationMeterTest obj's underlying member method code with example usage: obj._spawn_all_meter_workers(world_size, meters, is_train) and returns: qins,  qouts,  qerrs