class_docstr: Compose Learning Rate Schedulers
  
  Parameters
  ----------
  
  schedulers: list
      list of LRScheduler objects
class_docstr_tok: ["Compose","Learning","Rate","Schedulers","Parameters","--","--","--","--","--","schedulers",":","list","list","of","LRScheduler","objects"]
code: def __init__(self, schedulers):
      super(LRSequential, self).__init__()
      assert len(schedulers) > 0
  
      self.update_sep = []
      self.count = 0
      self.learning_rate = 0
      self.schedulers = []
      for lr in schedulers:
          self.add(lr)
  
file_path: gluon-cv/gluoncv/utils/lr_scheduler.py
imports: from __future__ import division
  import warnings
  from math import pi, cos
  from mxnet import lr_scheduler
label_desc: Use image node_id 1 to create a new LRSequential object from inherited base classes: lr_scheduler with example: obj = LRSequential(schedulers)