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

tf.contrib.learn.monitors.BaseMonitor.run_on_all_workers

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

tf.contrib.learn.monitors.EveryN.__init__(every_n_steps=100, first_n_steps=1) Initializes an EveryN monitor.

tf.contrib.learn.monitors.StepCounter.__init__(every_n_steps=100, output_dir=None, summary_writer=None)

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

tf.contrib.learn.monitors.NanLoss.step_begin(step) Overrides BaseMonitor.step_begin. When

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

tf.contrib.learn.monitors.GraphDump.run_on_all_workers

tf.contrib.learn.monitors.BaseMonitor.step_begin(step) Callback before training step begins. You