docstr: Whether mixing weights are distributed uniformly over peers
docstr_tok: ["Whether","mixing","weights","are","distributed","uniformly","over","peers"]
code: def is_uniform(self) -> bool:
      """Whether mixing weights are distributed uniformly over peers"""
      raise NotImplementedError
  
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 3 for calling the MixingManager obj's underlying member method code with example usage: obj.is_uniform() without return types