tf.train.SecondOrStepTimer
tf.train.SecondOrStepTimer
class tf.train.SecondOrStepTimer
Defined in tensorflow/python/training/basic_session_run_hooks.py
.
Timer that triggers at most once every N seconds or once every N steps.
Methods
__init__
__init__( every_secs=None, every_steps=None )
last_triggered_step
last_triggered_step()
should_trigger_for_step
should_trigger_for_step(step)
Return true if the timer should trigger for the specified step.
Args:
-
step
: Training step to trigger on.
Returns:
True if the difference between the current time and the time of the last trigger exceeds every_secs
, or if the difference between the current step and the last triggered step exceeds every_steps
. False otherwise.
update_last_triggered_step
update_last_triggered_step(step)
Update the last triggered time and step number.
Args:
-
step
: The current step.
Returns:
A pair (elapsed_time, elapsed_steps)
, where elapsed_time
is the number of seconds between the current trigger and the last one (a float), and elapsed_steps
is the number of steps between the current trigger and the last one. Both values will be set to None
on the first trigger.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/train/SecondOrStepTimer