class_docstr: Parent of all LRSchedules here. 
docstr: :param progress:    value between 0 and 1 (unless going beyond t_total steps) specifying training progress
  :return:            learning rate multiplier for current update
code: def get_lr_(self, progress):
      """
      :param progress:    value between 0 and 1 (unless going beyond t_total steps) specifying training progress
      :return:            learning rate multiplier for current update
      """
      return 1.0
  
imports: import math
  import torch
  from torch.optim.optimizer import Optimizer
  from torch.nn.utils import clip_grad_norm_
  import logging
  import abc
  import sys
label_desc: Use image node_id 3 for calling the _LRSchedule obj's underlying member method code with example usage: obj.get_lr_(progress) and returns: int