code: def select_freer_gpu():
      freer_gpu = str(get_freer_gpu())
      print("Will use GPU: %s" % (freer_gpu))
      os.environ["CUDA_LAUNCH_BLOCKING"] = "1"
      os.environ["CUDA_VISIBLE_DEVICES"] = "" + freer_gpu
      return freer_gpu
  
file_path: H2O/h2o_hf/helm/src/helm/benchmark/metrics/summac/utils_misc.py
imports: import numpy
  import tqdm
  import os
  import time
label_desc: Use image node_id 4 for calling a global function with example usage: select_freer_gpu() and returns: freer_gpu