code: def layernorm(self):
      return (
          self.client_module.post_attention_layernorm.weight,
          None,
          self.client_module.input_layernorm.weight,
          None,
      )
  
imports: from .base import *
  from .features import HybridSplitQKVContainer, HybridGatedMLPContainer, MetaTensorContainer
  from deepspeed.utils.types import ActivationFuncType, NormType
  from deepspeed.model_implementations.transformers.ds_gpt import DeepSpeedGPTInference
  import torch
  from torch.nn.parameter import Parameter
  from ..policy import TransformerPolicy, transformer_param_names, maybe_copy, maybe_copy_qkv, maybe_copy_geglu, maybe_get_lora
label_desc: Use image node_id 5 for calling the LLAMALayerPolicy obj's underlying member method code with example usage: obj.layernorm() and returns: self,  None,  self,  None