tf.contrib.learn.monitors.RunHookAdapterForMonitors.end(session)

tf.contrib.learn.monitors.CaptureVariable.run_on_all_workers

class tf.contrib.learn.monitors.NanLoss NaN Loss monitor. Monitors loss and stops training if

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

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

tf.contrib.learn.monitors.CheckpointSaver.begin(max_steps=None)

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

tf.contrib.learn.monitors.SummarySaver.run_on_all_workers

tf.contrib.learn.monitors.StopAtStep.step_begin(step)

tf.contrib.learn.monitors.StopAtStep.begin(max_steps=None) Called at the beginning of training. When