class_docstr: Internal wrapper around a deepspeed scheduler.
  
  Args:
      scheduler (`torch.optim.lr_scheduler.LambdaLR`):
          The scheduler to wrap.
      optimizers (one or a list of `torch.optim.Optimizer`):
class_docstr_tok: ["Internal","wrapper","around","a","deepspeed","scheduler",".","Args",":","scheduler","(","`","torch.optim.lr_scheduler.LambdaLR","`",")",":","The","scheduler","to","wrap",".","optimizers","(","one","or","a","list","of","`","torch.optim.Optimizer","`",")",":"]
code: def __init__(self, scheduler, optimizers):
      super().__init__(scheduler, optimizers)
  
imports: import base64
  import io
  import json
  import os
  from copy import deepcopy
  from ..optimizer import AcceleratedOptimizer
  from ..scheduler import AcceleratedScheduler
label_desc: Use image node_id 1 to create a new DeepSpeedSchedulerWrapper object from inherited base classes: AcceleratedScheduler with example: obj = DeepSpeedSchedulerWrapper(scheduler, optimizers)