code: def __init__(
      self, local_master_rank: int, dest: int, src: int, local_rank: int
  ) -> None:
      self.src = src
      self.dest = dest
      self.process_group = dist.new_group([src, dest])
      if local_master_rank in [self.src, self.dest] and local_rank == 0:
          initializer_tensor = torch.Tensor([1]).cuda()
          dist.all_reduce(initializer_tensor, group=self.process_group)
          initializer_tensor = torch.Tensor([1]).cuda().half()
          dist.all_reduce(initializer_tensor, group=self.process_group)
  
imports: from abc import ABC, abstractmethod
  from math import log
  from typing import List, Optional, Tuple
  import torch
  import torch.distributed
label_desc: Use image node_id 1 to create a new Edge object from inherited base classes: object with example: obj = Edge(local_master_rank, dest, src, local_rank)