class_docstr: Decay the LR by a factor every time the validation loss plateaus.
class_docstr_tok: ["Decay","the","LR","by","a","factor","every","time","the","validation","loss","plateaus","."]
code: def load_state_dict(self, state_dict):
      self.lr_scheduler.best = state_dict["best"]
      if "last_epoch" in state_dict:
          self.lr_scheduler.last_epoch = state_dict["last_epoch"]
  
file_path: pytorch-image-models/timm/scheduler/plateau_lr.py
imports: import torch
  from .scheduler import Scheduler
label_desc: Use image node_id 3 for calling the PlateauLRScheduler obj's underlying member method code with example usage: obj.load_state_dict(state_dict) without return types