avalanche.evaluation.metrics.MinibatchLoss
- class avalanche.evaluation.metrics.MinibatchLoss[source]
The minibatch loss metric. This plugin metric only works at training time.
This metric computes the average loss over patterns from a single minibatch. It reports the result after each iteration.
If a more coarse-grained logging is needed, consider using
EpochLoss
instead.Methods
__init__
()Creates an instance of the MinibatchLoss 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)