class_docstr: Linear Ramp warm-up followed by cosine learning rate annealing
class_docstr_tok: ["Linear","Ramp","warm-up","followed","by","cosine","learning","rate","annealing"]
code: def get_lr(self):
      return self._get_closed_form_lr()
  
file_path: NeuralCompression/projects/torch_vct/utils/schedulers.py
imports: import math
  import torch
label_desc: Use image node_id 2 for calling the LinearRampCosineLR obj's underlying member method code with example usage: obj.get_lr() and returns: self