avalanche.evaluation.metrics.MinibatchMaxRAM

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

The Minibatch Max RAM metric.

This plugin metric only works at training time.

__init__(every=1)[source]

Creates an instance of the Minibatch Max RAM metric.

Parameters:

every – seconds after which update the maximum RAM usage

Methods

__init__([every])

Creates an instance of the Minibatch Max RAM metric.

after_backward(strategy)

after_eval(strategy)

after_eval_dataset_adaptation(strategy)

after_eval_exp(strategy)

after_eval_forward(strategy)

after_eval_iteration(strategy)

after_forward(strategy)

after_train_dataset_adaptation(strategy)

after_training(strategy)

after_training_epoch(strategy)

after_training_exp(strategy)

after_training_iteration(strategy)

after_update(strategy)

before_backward(strategy)

before_eval(strategy)

before_eval_dataset_adaptation(strategy)

before_eval_exp(strategy)

before_eval_forward(strategy)

before_eval_iteration(strategy)

before_forward(strategy)

before_train_dataset_adaptation(strategy)

before_training(strategy)

before_training_epoch(strategy)

before_training_exp(strategy)

before_training_iteration(strategy)

before_update(strategy)

reset()

Resets the metric internal state.

result()

Obtains the value of the metric.

update(strategy)