code: def _get_lr(self, t):
      if t < self.warmup_t:
          lrs = [self.warmup_lr_init + t * s for s in self.warmup_steps]
      else:
          if self.warmup_prefix:
              t = t - self.warmup_t
          lrs = [
              v * (self.decay_rate ** self.get_curr_decay_steps(t))
              for v in self.base_values
          ]
      return lrs
  
file_path: pytorch-image-models/timm/scheduler/multistep_lr.py
imports: import torch
  import bisect
  from timm.scheduler.scheduler import Scheduler
  from typing import List
label_desc: Use image node_id 3 for calling the MultiStepLRScheduler obj's underlying member method code with example usage: obj._get_lr(t) and returns: lrs