code: def module_policy(self):
      from transformers.models.gptj.modeling_gptj import GPTJModel
  
      policy = super().module_policy()
  
      if self.pipeline_stage_manager is not None:
          self.set_pipeline_forward(
              model_cls=GPTJModel,
              new_forward=GPTJPipelineForwards.gptj_model_forward,
              policy=policy,
          )
      return policy
  
imports: import warnings
  from functools import partial
  from typing import Callable, Dict, List
  from torch import Tensor, nn
  import colossalai.shardformer.layer
  from ..modeling.gptj import GPTJPipelineForwards, get_gptj_flash_attention_forward
  from .base_policy import ModulePolicyDescription, Policy, SubModuleReplacementDescription
label_desc: Use image node_id 2 for calling the GPTJModelPolicy obj's underlying member method code with example usage: obj.module_policy() and returns: policy