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

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.EveryN.epoch_end(epoch) End epoch. Args:

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

tf.contrib.learn.monitors.PrintTensor.run_on_all_workers

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

tf.contrib.learn.monitors.NanLoss.step_end(step, output) Overrides BaseMonitor.step_end. When

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

tf.contrib.learn.monitors.ExportMonitor.every_n_step_end(step, outputs)

tf.contrib.learn.monitors.EveryN.every_n_step_end(step, outputs) Callback after every n'th step finished. This