ray/rllib/utils/timer.py

from ray.util.timer import _Timer

TimerStat = _Timer  # backwards compatibility alias
[rllib] Enable performance metrics reporting for RLlib pipelines, add A3C (#7299) 2020-02-28 16:44:17 -08:00			`from ray.util.timer import _Timer`
[rllib] Refactor DQN to use an Evaluator abstraction (#1276) This introduces rllib.Evaluator and rllib.Optimizer classes. Optimizers encapsulate a particular distributed optimization strategy for RL. Evaluators encapsulate the model graph, and once implemented, any Optimizer may be "plugged in" to any algorithm that implements the Evaluator interface. 2017-12-06 17:51:57 -08:00
[rllib] Enable performance metrics reporting for RLlib pipelines, add A3C (#7299) 2020-02-28 16:44:17 -08:00			`TimerStat = _Timer # backwards compatibility alias`