code: def layernorm(self):
      return (
          self.client_module.final_layer_norm.weight,
          self.client_module.final_layer_norm.bias,
          self.client_module.self_attn_layer_norm.weight,
          self.client_module.self_attn_layer_norm.bias,
      )
  
imports: from .base import *
  from .features import MetaTensorContainer, HybridSplitQKVContainer
  from deepspeed.model_implementations.transformers.ds_opt import DeepSpeedOPTInference
  import torch
  from torch.nn.parameter import Parameter
  from ..policy import TransformerPolicy
  from ..policy import transformer_param_names
  from ..policy import maybe_copy
  from ..policy import maybe_copy_qkv
  from ..policy import maybe_get_lora
  from deepspeed.utils.types import ActivationFuncType
label_desc: Use image node_id 5 for calling the HFOPTLayerPolicy obj's underlying member method code with example usage: obj.layernorm() and returns: self,  self,  self,  self