code: def layernorm(self):
      return (
          None,
          None,
          self.client_module.ln_1.weight,
          self.client_module.ln_1.bias,
      )
  
imports: from .base import *
  from .features.meta_tensor import MetaTensorContainer
  from .features.split_qkv import HybridSplitQKVContainer
  from deepspeed.model_implementations.transformers.ds_gpt import DeepSpeedGPTInference
  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
label_desc: Use image node_id 5 for calling the HFGPTJLayerPolicy obj's underlying member method code with example usage: obj.layernorm() and returns: None,  None,  self,  self