class_docstr: Delegate lr scheduling to the optimizer.
docstr: Update the learning rate after each update.
code: def step_update(self, num_updates):
      """Update the learning rate after each update."""
      return self.optimizer.lr_scheduler.step_update(num_updates)
  
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 5 for calling the PassThroughScheduleSchedule obj's underlying member method code with example usage: obj.step_update(num_updates) and returns: self