tf.contrib.learn.monitors.LoggingTrainable.run_on_all_workers

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

tf.contrib.learn.monitors.NanLoss.__init__(loss_tensor, every_n_steps=100, fail_on_nan_loss=True) Initializes NanLoss monitor

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

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

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

tf.contrib.learn.monitors.EveryN.run_on_all_workers

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

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

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