code: def lr_func_steps_with_relative_lrs(
      cfg: LRSchedulerConf, cur_epoch: float
  ) -> float:
      """
      Retrieve the learning rate to specified values at specified epoch with the
      steps with relative learning rate schedule.
  
      Args:
          cfg (CfgNode): configs. Hydra / omega conf object associated with
              Learningrate scheduler. The schema can be found in
              `LRSchedulerConf` and the example configs can be found in
              `pytorchvideo_trainer/conf/module/lr_scheduler`.
          cur_epoch (float): the number of epoch of the current training stage.
      """
      ind = get_step_index(cfg, cur_epoch)
      return cfg.lrs[ind] * cfg.lr
  
file_path: pytorchvideo/pytorchvideo_trainer/pytorchvideo_trainer/module/lr_policy.py
imports: import math
  from dataclasses import dataclass
  from typing import Callable, List
  import torch
  from hydra.core.config_store import ConfigStore
  from omegaconf import MISSING
label_desc: Use image node_id 3 for calling a global function with example usage: lr_func_steps_with_relative_lrs(cfg, cur_epoch) and returns: unknown