tf.contrib.learn.monitors.GraphDump.end(session=None) Callback at the end of training/evaluation. Args:
tf.contrib.learn.monitors.PrintTensor.every_n_post_step(step, session) Callback after a step is finished or end()
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_end(step, output) Overrides BaseMonitor.step_end. When
tf.contrib.learn.monitors.StepCounter.every_n_step_begin(step) Callback before every n'th step begins.
tf.contrib.learn.monitors.SummarySaver.end(session=None)
tf.contrib.learn.monitors.ValidationMonitor.every_n_post_step(step, session) Callback after a step is finished or end()
tf.contrib.learn.monitors.ValidationMonitor.step_end(step, output) Overrides BaseMonitor.step_end.
tf.contrib.learn.monitors.PrintTensor.step_begin(step) Overrides BaseMonitor.step_begin. When
tf.contrib.learn.monitors.EveryN.run_on_all_workers
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