code: def get_lr(self):
      return [
          (min(1.0, self._step_count / self.warmup_updates)) * base_lr
          for base_lr in self.base_lrs
      ]
  
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 2 for calling the WarmupLR obj's underlying member method code with example usage: obj.get_lr() and returns: unknown