code: def add_and_norm(x_list):
      """Applies skip connection followed by layer normalisation.
  
      Args:
        x_list: List of inputs to sum for skip connection
  
      Returns:
        Tensor output from layer.
      """
      tmp = Add()(x_list)
      tmp = LayerNorm()(tmp)
      return tmp
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import gc
  import json
  import os
  import shutil
  import data_formatters.base
  import libs.utils
  import numpy
  import pandas
  import tensorflow
label_desc: Use image node_id 4 for calling a global function with example usage: add_and_norm(x_list) and returns: tmp