docstr: Create mixing weight dictionary using uniform allocation
docstr_tok: ["Create","mixing","weight","dictionary","using","uniform","allocation"]
code: def get_mixing_weights(
      self, residual_adjusted: bool = True
  ) -> Dict[Union[str, int], torch.Tensor]:
      """Create mixing weight dictionary using uniform allocation"""
      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 4 for calling the MixingManager obj's underlying member method code with example usage: obj.get_mixing_weights(residual_adjusted) without return types