code: def l2_norm(data):
      _norm = np.array([np.sqrt((x * x).sum(axis=0)) for x in data])
      data = data / _norm[:, np.newaxis]
      return np.nan_to_num(data)
  
label_desc: Use image node_id 3 for calling a global function with example usage: l2_norm(data) and returns: np