avalanche.evaluation.metrics.MinibatchTime

class avalanche.evaluation.metrics.MinibatchTime

The minibatch time metric. This plugin metric only works at training time.

This metric “logs” the elapsed time for each iteration.

If a more coarse-grained logging is needed, consider using EpochTime.

__init__()

Creates an instance of the minibatch time metric.

Methods

__init__()	Creates an instance of the minibatch time metric.
after_backward(strategy)	Called after criterion.backward() by the BaseStrategy.
after_eval(strategy)	Called after eval by the BaseStrategy.
after_eval_dataset_adaptation(strategy)	Called after eval_dataset_adaptation by the BaseStrategy.
after_eval_exp(strategy)	Called after eval_exp by the BaseStrategy.
after_eval_forward(strategy)	Called after model.forward() by the BaseStrategy.
after_eval_iteration(strategy)	Called after the end of an iteration by the BaseStrategy.
after_forward(strategy)	Called after model.forward() by the BaseStrategy.
after_train_dataset_adaptation(strategy)	Called after train_dataset_adapatation by the BaseStrategy.
after_training(strategy)	Called after train by the BaseStrategy.
after_training_epoch(strategy)	Called after train_epoch by the BaseStrategy.
after_training_exp(strategy)	Called after train_exp by the BaseStrategy.
after_training_iteration(strategy)	Called after the end of a training iteration by the BaseStrategy.
after_update(strategy)	Called after optimizer.update() by the BaseStrategy.
before_backward(strategy)	Called before criterion.backward() by the BaseStrategy.
before_eval(strategy)	Called before eval by the BaseStrategy.
before_eval_dataset_adaptation(strategy)	Called before eval_dataset_adaptation by the BaseStrategy.
before_eval_exp(strategy)	Called before eval_exp by the BaseStrategy.
before_eval_forward(strategy)	Called before model.forward() by the BaseStrategy.
before_eval_iteration(strategy)	Called before the start of a training iteration by the BaseStrategy.
before_forward(strategy)	Called before model.forward() by the BaseStrategy.
before_train_dataset_adaptation(strategy)	Called before train_dataset_adapatation by the BaseStrategy.
before_training(strategy)	Called before train by the BaseStrategy.
before_training_epoch(strategy)	Called before train_epoch by the BaseStrategy.
before_training_exp(strategy)	Called before train_exp by the BaseStrategy.
before_training_iteration(strategy)	Called before the start of a training iteration by the BaseStrategy.
before_update(strategy)	Called before optimizer.update() by the BaseStrategy.
reset(strategy)	Resets the metric internal state.
result(strategy)	Obtains the value of the metric.
update(strategy)