View source on GitHub
|
Class SecondOrStepTimer
Timer that triggers at most once every N seconds or once every N steps.
Aliases:
- Class
tf.compat.v1.estimator.SecondOrStepTimer - Class
tf.compat.v1.train.SecondOrStepTimer - Class
tf.compat.v2.estimator.SecondOrStepTimer - Class
tf.estimator.SecondOrStepTimer
This symbol is also exported to v2 in tf.estimator namespace. See https://github.com/tensorflow/estimator/blob/master/tensorflow_estimator/python/estimator/hooks/basic_session_run_hooks.py
__init__
__init__(
every_secs=None,
every_steps=None
)
Initialize self. See help(type(self)) for accurate signature.
Methods
tf.train.SecondOrStepTimer.last_triggered_step
last_triggered_step()
Returns the last triggered time step or None if never triggered.
tf.train.SecondOrStepTimer.reset
reset()
Resets the timer.
tf.train.SecondOrStepTimer.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.
tf.train.SecondOrStepTimer.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.