code: def get_lr(self):
      step = max(self.last_epoch, 1)
      return [
          base_lr
          * self.warmup_steps**0.5
          * min(step * self.warmup_steps**-1.5, step**-0.5)
          for base_lr in self.base_lrs
      ]
  
file_path: TTS/TTS/utils/training.py
imports: import torch
  import numpy
label_desc: Use image node_id 2 for calling the NoamLR obj's underlying member method code with example usage: obj.get_lr() and returns: unknown