avalanche.evaluation.metrics.RunningEpochLoss

class avalanche.evaluation.metrics.RunningEpochLoss[source]

The average loss across all minibatches up to the current epoch iteration. This plugin metric only works at training time.

At each iteration, this metric logs the loss averaged over all patterns seen so far in the current epoch. The metric resets its state after each training epoch.

__init__()[source]

Creates an instance of the RunningEpochLoss metric.

Methods

__init__()

Creates an instance of the RunningEpochLoss 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)