tf_agents.train.triggers.StepPerSecondLogTrigger

Logs train_steps_per_second.

tf_agents.train.triggers.StepPerSecondLogTrigger(
    train_step: tf.Variable,
    interval: int,
    log_to_terminal: bool = True
)

Used in the tutorials
SAC minitaur with the Actor-Learner API

Args
`train_step`	`tf.Variable` which keeps track of the number of train steps.
`interval`	How often, in train_steps, the trigger will save. Note that as long as the >= `interval` number of steps have passed since the last trigger, the event gets triggered. The current value is not necessarily `interval` steps away from the last triggered value.
`log_to_terminal`	If True ouputs steps/sec to logging.info.

Methods

reset() -> None

Resets the trigger interval.

set_start(
    start: int
) -> None

__call__(
    value: int,
    force_trigger: bool = False
) -> None

Maybe trigger the event based on the interval.

Args
`value`	the value for triggering.
`force_trigger`	If True, the trigger will be forced triggered unless the last trigger value is equal to `value`.