class_docstr: Delegate lr scheduling to the optimizer.
docstr: Update the learning rate at the beginning of the given epoch.
code: def step_begin_epoch(self, epoch):
      """Update the learning rate at the beginning of the given epoch."""
      return self.optimizer.lr_scheduler.step_begin_epoch(epoch)
  
file_path: fairseq/fairseq/optim/lr_scheduler/pass_through.py
imports: from dataclasses import dataclass
  from fairseq.dataclass import FairseqDataclass
  from fairseq.optim.lr_scheduler import FairseqLRScheduler, register_lr_scheduler
label_desc: Use image node_id 4 for calling the PassThroughScheduleSchedule obj's underlying member method code with example usage: obj.step_begin_epoch(epoch) and returns: self