avalanche.evaluation.metrics.ExperienceMaxRAM

class avalanche.evaluation.metrics.ExperienceMaxRAM(every=1)[source]

The Experience Max RAM metric. This plugin metric only works at eval time.

__init__(every=1)[source]

Creates an instance of the Experience CPU usage metric. :param every: seconds after which update the maximum RAM

usage

Methods

__init__([every])

Creates an instance of the Experience CPU usage metric. :param every: seconds after which update the maximum RAM usage.

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)