tf.estimator.SecondOrStepTimer
Timer that triggers at most once every N seconds or once every N steps.
tf.estimator.SecondOrStepTimer(
every_secs=None, every_steps=None
)
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
Methods
last_triggered_step
last_triggered_step()
Returns the last triggered time step or None if never triggered.
reset
reset()
Resets the timer.
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. |
© 2020 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/versions/r2.3/api_docs/python/tf/estimator/SecondOrStepTimer