pytorch_pfn_extras.training.extensions.BestValue¶

class pytorch_pfn_extras.training.extensions.BestValue(key, compare, trigger=(1, 'epoch'))¶

Extension traces the best value of a specific key in the observation.

Parameters

key (str) – Key of value.
compare (callable) – Compare function which takes current best value and new value and returns whether new value is better than current best.
trigger (TriggerLike) – Trigger that decides the comparison interval between current best value and new value. This must be a tuple in the form of <int>, 'epoch' or <int>, 'iteration' which is passed to BestValueTrigger.

Return type

None

__init__(key, compare, trigger=(1, 'epoch'))¶

Parameters

Return type

None

Methods

`__init__`(key, compare[, trigger])
`finalize`(manager)	Finalizes the extension.
`initialize`(manager)	Initializes up the manager state.
`load_state_dict`(to_load)
`on_error`(manager, exc, tb)	Handles the error raised during training before finalization.
`state_dict`()	Serializes the extension state.

Attributes

`best_epoch`	Returns the epoch count that the current best value is observed.
`best_iteration`	Returns the iteration count that the current best value is observed.
`best_value`	Returns the current best value.
`default_name`
`is_async`
`name`
`needs_model_state`
`priority`
`trigger`