code: def lr_func_steps_with_relative_lrs(cfg, cur_epoch):
      """
      Retrieve the learning rate to specified values at specified epoch with the
      steps with relative learning rate schedule.
      Args:
          cfg (CfgNode): configs. Details can be found in
              slowfast/config/defaults.py
          cur_epoch (float): the number of epoch of the current training stage.
      """
      ind = get_step_index(cfg, cur_epoch)
      return cfg.SOLVER.LRS[ind] * cfg.SOLVER.BASE_LR
  
imports: import math
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