pytorch_pfn_extras.training.triggers.IntervalTrigger¶
- class pytorch_pfn_extras.training.triggers.IntervalTrigger(period, unit)¶
Trigger based on a fixed interval.
This trigger accepts iterations divided by a given interval. There are two ways to specify the interval: per iterations and epochs. Iteration means the number of updates, while epoch means the number of sweeps over the training dataset. Fractional values are allowed if the interval is a number of epochs; the trigger uses the iteration and epoch_detail attributes defined by the manager.
For the description of triggers see
get_trigger().- Parameters
period (int or float) – Length of the interval. Must be an integer if unit is
'iteration'.unit (str) – Unit of the length specified by
period. It must be either'iteration'or'epoch'.
- __init__(period, unit)¶
Methods
__init__(period, unit)get_training_length()load_state_dict(to_load)state_dict()