在做bert项目时，出现报错AttributeError: save_checkpoints_steps

报错如下：

Traceback (most recent call last):
  File "run_classifier1.py", line 1018, in
    tf.app.run()
  File "D:\professionaltoolfolder\Miniconda3-latest-Windows-x86_64\envs\tf112gpu_py37\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
    _sys.exit(main(argv))
  File "run_classifier1.py", line 836, in main
    if FLAGS.max_seg_length > bert_config.max_position_embeddings:
  File "D:\professionaltoolfolder\Miniconda3-latest-Windows-x86_64\envs\tf112gpu_py37\lib\site-packages\tensorflow\python\platform\flags.py", line 85, in __getattr__
    return wrapped.__getattr__(name)
  File "D:\professionaltoolfolder\Miniconda3-latest-Windows-x86_64\envs\tf112gpu_py37\lib\site-packages\absl\flags\_flagvalues.py", line 472, in __getattr__
    raise AttributeError(name)
AttributeError: max_seg_length
实际错误行在：

flags.DEFINE_integer("save_checkpoints_steps", 1000,
                     "How often to save the model checkpoint.")  # save_checkpoints_steps

错误分析： 

导致AttributeError（属性错误）的原因主要有两种：1、定义对象属性与调用对象属性的名称不一致！（本次错误是save_checkpoints_steps少写一个s）；2、缩进不一致导致属性丢失！