code: def __init__(
      self, graph: GraphManager, device: Optional[torch.device]
  ) -> None:
      self.graph_manager = graph
      self.device = device
  
file_path: fairscale/fairscale/experimental/nn/data_parallel/gossip/mixing_manager.py
imports: from abc import ABC, abstractmethod
  from typing import Dict, Optional, Union
  import torch
  from .graph_manager import GraphManager
label_desc: Use image node_id 1 to create a new MixingManager object from inherited base classes: ABC with example: obj = MixingManager(graph, device)