docstr: Whether there is bias accumulated in local entry of stationary
  distribution of mixing matrix
docstr_tok: ["Whether","there","is","bias","accumulated","in","local","entry","of","stationary","distribution","of","mixing","matrix"]
code: def is_regular(self) -> bool:
      """
      Whether there is bias accumulated in local entry of stationary
      distribution of mixing matrix
      """
      return self.graph_manager.is_regular_graph() and self.is_uniform()
  
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 2 for calling the MixingManager obj's underlying member method code with example usage: obj.is_regular() and returns: unknown