code: def resume(checkpoint_path):
      checkpoint = torch.load(checkpoint_path)
      args = RunConfiguration.from_dict(checkpoint["metadata"]["args"])
      run_loop(args=args, checkpoint=checkpoint)
  
imports: import os
  import torch
  import jiant.proj.main.modeling.model_setup
  import jiant.proj.main.runner
  import jiant.proj.main.components.container_setup
  import jiant.proj.main.metarunner
  import jiant.proj.main.components.evaluate
  import jiant.shared.initialization
  import jiant.shared.distributed
  import jiant.shared.model_setup
  import jiant.utils.python.io
  import jiant.utils.zconf
label_desc: Use image node_id 4 for calling a global function with example usage: resume(checkpoint_path) without return types