code: def get_lr(self):
      return [
          base_lr * self.learning_rates[self.last_epoch]
          for base_lr in self.base_lrs
      ]
  
imports: import math
  import warnings
  import numpy
  from torch import nn
  from torch.optim.optimizer import Optimizer
  from torch.optim.lr_scheduler import _LRScheduler, LambdaLR, ExponentialLR, CyclicLR, MultiStepLR, ReduceLROnPlateau, CosineAnnealingLR, CosineAnnealingWarmRestarts
label_desc: Use image node_id 2 for calling the OnceCycleLR obj's underlying member method code with example usage: obj.get_lr() and returns: unknown