docstr: Divide layers into stages
  
          
code: def distribute_layers(num_layers: int, num_stages: int) -> List[int]:
      """Divide layers into stages"""
      if num_layers == 24 and num_stages == 4:
          return [7, 7, 7, 3]
      elif num_layers == 24 and num_stages == 2:
          return [15, 9]
      elif num_layers == 12 and num_stages == 4:
          return [5, 5, 5, 1]
      elif num_layers == 12 and num_stages == 2:
          return [8, 4]
      else:
          print(
              f"num_layers: {num_layers}, num_stages: {num_stages} not optimized, use origin pp policy"
          )
          return Policy.distribute_layers(num_layers, num_stages)
  
imports: import warnings
  from functools import partial
  from typing import Callable, Dict, List, Optional, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from torch.nn import Module
  from transformers.modeling_outputs import CausalLMOutputWithPast
  from transformers.utils import logging
  from colossalai.moe.manager import MOE_MANAGER
  from colossalai.pipeline.stage_manager import PipelineStageManager
  from colossalai.shardformer.layer import FusedRMSNorm, Linear1D_Col
  from colossalai.shardformer.policies.base_policy import ModulePolicyDescription, Policy, SubModuleReplacementDescription
  from .modeling_openmoe import OpenMoeDecoderLayer, OpenMoeForCausalLM, OpenMoeModel
label_desc: Use image node_id 7 for calling the OpenMoePolicy obj's underlying member method code with example usage: obj.distribute_layers(num_layers, num_stages) and returns: list, list, list, list, Policy