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 _get_lr(self, t: int) -> float:
      assert False, "should not be called as step is overridden"
  
file_path: pytorch-image-models/timm/scheduler/plateau_lr.py
imports: import torch
  from .scheduler import Scheduler
label_desc: Use image node_id 7 for calling the PlateauLRScheduler obj's underlying member method code with example usage: obj._get_lr(t) without return types