docstr: Update the learning rate at the beginning of the given epoch.
docstr_tok: ["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."""
      pass
  
file_path: fairseq/fairseq/optim/lr_scheduler/fairseq_lr_scheduler.py
imports: from argparse import Namespace
  from fairseq.dataclass.utils import gen_parser_from_dataclass
  from fairseq.optim import FairseqOptimizer
label_desc: Use image node_id 5 for calling the FairseqLRScheduler obj's underlying member method code with example usage: obj.step_begin_epoch(epoch) without return types