code: def __init__(self, ranks, rank_in_group, peer_pool, half_halo):
      self.peer_group_size = len(ranks)
      self.ranks = ranks
      self.peer_rank = rank_in_group
      self.low_neighbor = (
          self.peer_rank + self.peer_group_size - 1
      ) % self.peer_group_size
      self.high_neighbor = (self.peer_rank + 1) % self.peer_group_size
      self.low_zero = True if self.peer_rank == 0 else False
      self.high_zero = (
          True if self.peer_rank == self.peer_group_size - 1 else False
      )
  
      self.peer_pool = peer_pool
      self.half_halo = half_halo
  
imports: import torch
  from apex.contrib.peer_memory import PeerMemoryPool
  import peer_memory_cuda
label_desc: Use image node_id 1 to create a new PeerHaloExchanger1d object  with example: obj = PeerHaloExchanger1d(ranks, rank_in_group, peer_pool, half_halo)