code: def setup(rank, world_size):
      os.environ["MASTER_ADDR"] = "localhost"
      os.environ["MASTER_PORT"] = "12358"
  
      dist_type = (
          "gloo" if TEST_DEVICE == torch.device("cpu") else "nccl"
      )
      # initialize the process group
      dist.init_process_group(
          dist_type, rank=rank, world_size=world_size
      )
  
imports: import logging
  import os
  import unittest
  import torch
  import torch.distributed
  import torch.multiprocessing
  import torch.optim
  from torch.nn.parallel import DistributedDataParallel
  from pytorch_metric_learning.losses import ContrastiveLoss, CrossBatchMemory
  from pytorch_metric_learning.miners import PairMarginMiner
  from pytorch_metric_learning.utils import distributed
  from ..None import TEST_DEVICE, TEST_DTYPES
label_desc: Use image node_id 2 for calling a global function with example usage: setup(rank, world_size) without return types