class_docstr: A wrapper around learning rate schedulers that do not require metrics
code: def __init__(self, lr_scheduler):  # pylint: disable=protected-access
      super(LearningRateWithoutMetricsWrapper, self).__init__(
          lr_scheduler
      )
      self.lr_scheduler = lr_scheduler
  
imports: from __future__ import absolute_import
  import torch.optim.lr_scheduler
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.params import Params
  from allennlp.common.registrable import Registrable
label_desc: Use image node_id 1 to create a new LearningRateWithoutMetricsWrapper object from inherited base classes: LearningRateScheduler with example: obj = LearningRateWithoutMetricsWrapper(lr_scheduler)