class_docstr: MoE manager. This class manages different
  parallel groups in MoE context and MoE loss in training.
code: def get_loss(self):
      cur_loss = self.router_aux_loss, self.router_z_loss
      return cur_loss
  
file_path: ColossalAI/colossalai/moe/manager.py
imports: from typing import Tuple
  import torch
  import torch.distributed
  from colossalai.context.singleton_meta import SingletonMeta
  from colossalai.tensor.moe_tensor.api import get_moe_info
  from colossalai.tensor.moe_tensor.moe_info import MoeParallelInfo
label_desc: Use image node_id 8 for calling the MoEManager obj's underlying member method code with example usage: obj.get_loss() and returns: cur_loss