code: def layernorm(self):
      return (
          self.client_module.ln_2.weight,
          self.client_module.ln_2.bias,
          self.client_module.ln_1.weight,
          self.client_module.ln_1.bias,
      )
  
file_path: deepspeed/deepspeed/module_inject/containers/gpt2.py
imports: from .base import *
  from deepspeed.model_implementations.transformers.ds_gpt import DeepSpeedGPTInference
  from ..policy import TransformerPolicy
label_desc: Use image node_id 5 for calling the HFGPT2LayerPolicy obj's underlying member method code with example usage: obj.layernorm() and returns: self,  self,  self,  self