tf.contrib.learn.monitors.LoggingTrainable.every_n_step_begin(step)

tf.contrib.learn.monitors.ExportMonitor.run_on_all_workers

tf.contrib.learn.monitors.EveryN.epoch_end(epoch) End epoch. Args:

tf.contrib.learn.monitors.CheckpointSaver.__init__(checkpoint_dir, save_secs=None, save_steps=None, saver=None, checkpoint_basename='model.ckpt', scaffold=None)

tf.contrib.learn.monitors.BaseMonitor.epoch_begin(epoch) Begin epoch. Args:

tf.contrib.learn.monitors.LoggingTrainable.every_n_post_step(step, session) Callback after a step is finished or end()

tf.contrib.learn.monitors.get_default_monitors(loss_op=None, summary_op=None, save_summary_steps=100, output_dir=None, summary_writer=None)

tf.contrib.learn.monitors.LoggingTrainable.epoch_end(epoch) End epoch. Args:

tf.contrib.learn.monitors.NanLoss.post_step(step, session)

tf.contrib.learn.monitors.CheckpointSaver.end(session=None)