301f2d68b100683c04693669c7b1157fd8a16d6b,allennlp/training/learning_rate_schedulers.py,,,#,131

Before Change

// We just use the Pytorch LRSchedulers, so here we force them into
// Registry._registry so we can build them from params.
Registrable._registry[LearningRateScheduler] = {   // pylint: disable=protected-access
        "step": torch.optim.lr_scheduler.StepLR,
        "multi_step": torch.optim.lr_scheduler.MultiStepLR,
        "exponential": torch.optim.lr_scheduler.ExponentialLR,
        "reduce_on_plateau": torch.optim.lr_scheduler.ReduceLROnPlateau,
        "cosine": torch.optim.lr_scheduler.CosineAnnealingLR,
        "noam": NoamLR,
}

After Change

from allennlp.common.registrable import Registrable


logger = logging.getLogger(__name__)  // pylint: disable=invalid-name


class LearningRateScheduler(Registrable):

Instances