tf.contrib.learn.monitors.StepCounter.post_step(step, session)
tf.contrib.learn.monitors.GraphDump.run_on_all_workers
tf.contrib.learn.monitors.BaseMonitor.set_estimator(estimator) A setter called automatically by the target estimator.
tf.contrib.learn.monitors.LoggingTrainable.post_step(step, session)
tf.contrib.learn.monitors.NanLoss.end(session=None)
tf.contrib.learn.monitors.BaseMonitor.epoch_end(epoch) End epoch. Args:
tf.contrib.learn.monitors.CheckpointSaver.epoch_begin(epoch) Begin epoch. Args:
tf.contrib.learn.monitors.StopAtStep.end(session=None) Callback at the end of training/evaluation. Args:
tf.contrib.learn.monitors.StopAtStep.__init__(num_steps=None, last_step=None) Create a StopAtStep monitor. This
tf.contrib.learn.monitors.BaseMonitor.step_begin(step) Callback before training step begins. You
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