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It's probably a bug.
I see
threshold_mode
as a param of__init__
ofReduceOnPlateauLearningRateScheduler
, but it misses in the initializer oftorch.optim.lr_scheduler.ReduceLROnPlateau
.I found this problem in my experiment, by observing exceptional learning rate decay, and further found that the
threshold_mode
ofReduceOnPlateauLearningRateScheduler.lr_scheduler
is always equal to "rel", even I had setthreshold_mode = 'abs'
.If this is not intended, then it's probably an oversight.