tf.compat.v1.train.MonitoredTrainingSession Creates a MonitoredSession for training. 
tf.compat.v1.train.MonitoredTrainingSession(
    master='', is_chief=True, checkpoint_dir=None, scaffold=None,
    hooks=None, chief_only_hooks=None, save_checkpoint_secs=USE_DEFAULT,
    save_summaries_steps=USE_DEFAULT, save_summaries_secs=USE_DEFAULT, config=None,
    stop_grace_period_secs=120, log_step_count_steps=100, max_wait_secs=7200,
    save_checkpoint_steps=USE_DEFAULT, summary_dir=None, save_graph_def=True
)
 For a chief, this utility sets proper session initializer/restorer. It also creates hooks related to checkpoint and summary saving. For workers, this utility sets proper session creator which waits for the chief to initialize/restore. Please check tf.compat.v1.train.MonitoredSession for more information.
 


 Args
  master   String the TensorFlow master to use.  
  is_chief   If True, it will take care of initialization and recovery the underlying TensorFlow session. If False, it will wait on a chief to initialize or recover the TensorFlow session.  
  checkpoint_dir   A string. Optional path to a directory where to restore variables.  
  scaffold   A Scaffold used for gathering or building supportive ops. If not specified, a default one is created. It's used to finalize the graph.  
  hooks   Optional list of SessionRunHook objects.  
  chief_only_hooks   list of SessionRunHook objects. Activate these hooks if is_chief==True, ignore otherwise.  
  save_checkpoint_secs   The frequency, in seconds, that a checkpoint is saved using a default checkpoint saver. If both save_checkpoint_steps and save_checkpoint_secs are set to None, then the default checkpoint saver isn't used. If both are provided, then only save_checkpoint_secs is used. Default 600.  
  save_summaries_steps   The frequency, in number of global steps, that the summaries are written to disk using a default summary saver. If both save_summaries_steps and save_summaries_secs are set to None, then the default summary saver isn't used. Default 100.  
  save_summaries_secs   The frequency, in secs, that the summaries are written to disk using a default summary saver. If both save_summaries_steps and save_summaries_secs are set to None, then the default summary saver isn't used. Default not enabled.  
  config   an instance of tf.compat.v1.ConfigProto proto used to configure the session. It's the config argument of constructor of tf.compat.v1.Session.  
  stop_grace_period_secs   Number of seconds given to threads to stop after close() has been called.  
  log_step_count_steps   The frequency, in number of global steps, that the global step/sec is logged.  
  max_wait_secs   Maximum time workers should wait for the session to become available. This should be kept relatively short to help detect incorrect code, but sometimes may need to be increased if the chief takes a while to start up.  
  save_checkpoint_steps   The frequency, in number of global steps, that a checkpoint is saved using a default checkpoint saver. If both save_checkpoint_steps and save_checkpoint_secs are set to None, then the default checkpoint saver isn't used. If both are provided, then only save_checkpoint_secs is used. Default not enabled.  
  summary_dir   A string. Optional path to a directory where to save summaries. If None, checkpoint_dir is used instead.  
  save_graph_def   Whether to save the GraphDef and MetaGraphDef to checkpoint_dir. The GraphDef is saved after the session is created as graph.pbtxt. MetaGraphDefs are saved out for every checkpoint as model.ckpt-*.meta.   
 


 Returns   A MonitoredSession object.