code: def module_policy(self):
      policy = super().module_policy()
  
      if self.shard_config.enable_tensor_parallelism:
          # add a new item for casual lm
          new_item = {
              OpenMoeForCausalLM: ModulePolicyDescription(
                  sub_module_replacement=[
                      SubModuleReplacementDescription(
                          suffix="lm_head",
                          target_module=Linear1D_Col,
                          kwargs=dict(gather_output=True),
                      )
                  ]
              )
          }
          policy.update(new_item)
  
      if self.pipeline_stage_manager:
          # set None as default
          self.set_pipeline_forward(
              model_cls=OpenMoeForCausalLM,
              new_forward=OpenMoePipelineForwards.llama_for_causal_lm_forward,
              policy=policy,
          )
  
      return policy
  
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 1 for calling the OpenMoeForCausalLMPolicy obj's underlying member method code with example usage: obj.module_policy() and returns: policy