code: def __init__(
      self, optimizer, warmup_updates, last_epoch=-1, verbose=False
  ):
      self.warmup_updates = warmup_updates
      super().__init__(
          optimizer, last_epoch=last_epoch, verbose=verbose
      )
  
imports: import json
  import math
  from collections import namedtuple
  from typing import List, Tuple
  import sentencepiece
  import torch
  import torchaudio
  from torchaudio.models import Hypothesis
label_desc: Use image node_id 1 to create a new WarmupLR object from inherited base classes: torch.optim.lr_scheduler with example: obj = WarmupLR(optimizer, warmup_updates, last_epoch, verbose)