pytorch_pfn_extras.training.extensions.MinValue#
- class pytorch_pfn_extras.training.extensions.MinValue(key, trigger=(1, 'epoch'))#
Bases:
BestValue
Extension traces the maximum value of a specific key in the observation.
- Parameters:
key (str) – Key of value.
trigger (TriggerLike) – Trigger that decides the comparison interval between current maximum value and new value. This must be a tuple in the form of
<int>, 'epoch'
or<int>, 'iteration'
which is passed toBestValueTrigger
.
Methods
__init__
(key[, 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.
is_async
name
needs_model_state
priority
trigger
- __init__(key, trigger=(1, 'epoch'))#
- Parameters:
key (str) –
trigger (TriggerLike) –
- default_name = 'min_value'#