code: def load_checkpoint(
      checkpoint_dir: str,
      exe: paddle.static.Executor,
      main_program: paddle.static.Program,
  ) -> Tuple[bool, int, int, float]:
      ckpt_meta_path = os.path.join(checkpoint_dir, CKPT_FILE_NAME)
      ckpt = checkpoint_pb2.CheckPoint()
      logger.info(
          "Try loading checkpoint from {}".format(ckpt_meta_path)
      )
      if os.path.exists(ckpt_meta_path):
          with open(ckpt_meta_path, "rb") as f:
              ckpt.ParseFromString(f.read())
      current_epoch = 1
      global_step = 0
      best_score = -999
  
      if ckpt.latest_model_dir:
          paddle.static.load(
              executor=exe,
              model_path=ckpt.latest_model_dir,
              program=main_program,
          )
  
          # Compatible with older versions without best_score in checkpoint_pb2
          try:
              best_score = ckpt.best_score
          except:
              best_score = -999
  
          logger.info(
              "PaddleHub model checkpoint loaded. current_epoch={}, "
              "global_step={}, best_score={:.5f}".format(
                  ckpt.current_epoch, ckpt.global_step, best_score
              )
          )
  
          return True, ckpt.current_epoch, ckpt.global_step, best_score
  
      logger.info(
          "PaddleHub model checkpoint not found, start from scratch..."
      )
  
      return False, current_epoch, global_step, best_score
  
imports: import os
  from typing import Tuple
  import paddle
  from paddlehub.compat.task import checkpoint_pb2
  from paddlehub.utils.log import logger
label_desc: Use image node_id 1 for calling a global function with example usage: load_checkpoint(checkpoint_dir, exe, main_program) and returns: False,  current_epoch,  global_step,  best_score, True,  ckpt,  ckpt,  best_score