class_docstr: MoE manager. This class manages different
  parallel groups in MoE context and MoE loss in training.
code: def add_loss(self, aux_loss: float = 0.0, z_loss: float = 0.0):
      self.router_aux_loss.append(aux_loss)
      self.router_z_loss.append(z_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 7 for calling the MoEManager obj's underlying member method code with example usage: obj.add_loss(aux_loss, z_loss) without return types