chainer.training.triggers.IntervalTrigger¶
-
class
chainer.training.triggers.
IntervalTrigger
(period, unit)[source]¶ 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 updater.
For the description of triggers, see
get_trigger()
.- Parameters
Methods
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__eq__
()¶ Return self==value.
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__ne__
()¶ Return self!=value.
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__lt__
()¶ Return self<value.
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__le__
()¶ Return self<=value.
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__gt__
()¶ Return self>value.
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__ge__
()¶ Return self>=value.