code: def get_lr_fun():
      """Retrieves the specified lr policy function"""
      lr_fun = "lr_fun_" + cfg.OPTIM.LR_POLICY
      assert lr_fun in globals(), (
          "Unknown LR policy: " + cfg.OPTIM.LR_POLICY
      )
      err_str = (
          "exp lr policy requires OPTIM.MIN_LR to be greater than 0."
      )
      assert (
          cfg.OPTIM.LR_POLICY != "exp" or cfg.OPTIM.MIN_LR > 0
      ), err_str
      return globals()[lr_fun]
  
file_path: pycls/pycls/core/optimizer.py
imports: import matplotlib.pyplot
  import numpy
  import torch
  from pycls.core.config import cfg
label_desc: Use image node_id 6 for calling a global function with example usage: get_lr_fun() and returns: globals