code: def __init__(
      self,
      optimizer,
      warmup_iters,
      total_iters=5,
      power=1.0,
      last_epoch=-1,
      verbose=False,
  ):
      super().__init__(
          optimizer, last_epoch=last_epoch, verbose=verbose
      )
      self.total_iters = total_iters
      self.power = power
      self.warmup_iters = warmup_iters
  
file_path: insightface/recognition/arcface_torch/lr_scheduler.py
imports: from torch.optim.lr_scheduler import _LRScheduler
  from torch.optim import SGD
  import torch
  import warnings
label_desc: Use image node_id 1 to create a new PolynomialLRWarmup object from inherited base classes: _LRScheduler with example: obj = PolynomialLRWarmup(optimizer, warmup_iters, total_iters, power, last_epoch, verbose)