code: def pytorch_ring_init(ring):
      """Import necessary modules and setup the ring"""
      import os
      from fiber.backend import get_backend
      import torch.distributed as dist
  
      backend = get_backend()
      rank = ring.rank
      master = ring.members[0]
      print("pytorch ring init, rank", rank)
  
      if rank != 0:
          wait = 0.1
          while master.connected is False:
              print("ring.memebers[0].connected != True, wait", wait)
              time.sleep(wait)
              wait = wait * 2
              master = ring.members[0]
  
      _, _, ifce = backend.get_listen_addr()
  
      os.environ["MASTER_ADDR"] = master.ip
      os.environ["MASTER_PORT"] = str(master.port)
      os.environ["GLOO_SOCKET_IFNAME"] = ifce
  
      print(
          ring.size,
          ring.rank,
          ifce,
          os.environ["MASTER_ADDR"],
          os.environ["MASTER_PORT"],
      )
      dist.init_process_group(
          "gloo", rank=ring.rank, world_size=ring.size
      )
  
imports: import math
  import random
  import time
  import torch
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import torchvision.datasets
  import torchvision.transforms
  import fiber
  from fiber.experimental import Ring
label_desc: Use image node_id 4 for calling a global function with example usage: pytorch_ring_init(ring) without return types