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 step(self):
      pass
  
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 2 for calling the DeepSpeedSchedulerWrapper obj's underlying member method code with example usage: obj.step() without return types