code: def __init__(
      self,
      optimizer,
      T_0,
      T_mult=1,
      eta_min=0,
      last_epoch=-1,
      gamma=0.9,
  ):
      super().__init__(optimizer, T_0, T_mult, eta_min, last_epoch)
      self.gamma = gamma
  
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 1 to create a new CosineAnnealingWarmRestartsWithDecay object from inherited base classes: CosineAnnealingWarmRestarts with example: obj = CosineAnnealingWarmRestartsWithDecay(optimizer, T_0, T_mult, eta_min, last_epoch, gamma)