class_docstr: Stack several learning rate schedulers.
  
  :param iterationPerEpoch: iteration numbers per epoch
  
  >>> sequentialSchedule = SequentialSchedule(5)
  creating: createSequentialSchedule
  >>> poly = Poly(0.5, 2)
  creating: createPoly
  >>> test = sequentialSchedule.add(poly, 5)
code: def __init__(self, iteration_per_epoch: int) -> None:
      from bigdl.dllib.optim.optimizer import (
          SequentialSchedule as BSequentialSchedule,
      )
  
      self.scheduler = BSequentialSchedule(iteration_per_epoch)
  
imports: from abc import ABC, abstractmethod
  from typing import List, Optional, TYPE_CHECKING
label_desc: Use image node_id 1 to create a new SequentialSchedule object from inherited base classes: Scheduler with example: obj = SequentialSchedule(iteration_per_epoch)