class_docstr: One Cycle learning rate decay
  A learning rate which can be referred in https://arxiv.org/abs/1708.07120
  Code refered in https://pytorch.org/docs/stable/_modules/torch/optim/lr_scheduler.html#OneCycleLR
class_docstr_tok: ["One","Cycle","learning","rate","decay","A","learning","rate","which","can","be","referred","in","https",":","\/\/arxiv.org\/abs\/1708.07120","Code","refered","in","https",":","\/\/pytorch.org\/docs\/stable\/_modules\/torch\/optim\/lr_scheduler.html","#","OneCycleLR"]
docstr: Linearly anneal from `start` to `end` as pct goes from 0.0 to 1.0.
docstr_tok: ["Linearly","anneal","from","`","start","`","to","`","end","`","as","pct","goes","from","0.0","to","1.0","."]
code: def _annealing_linear(self, start, end, pct):
      "Linearly anneal from `start` to `end` as pct goes from 0.0 to 1.0."
      return (end - start) * pct + start
  
file_path: PaddleOCR/ppocr/optimizer/lr_scheduler.py
imports: import math
  from paddle.optimizer.lr import LRScheduler
label_desc: Use image node_id 3 for calling the OneCycleDecay obj's underlying member method code with example usage: obj._annealing_linear(start, end, pct) and returns: unknown