code: def run(self):
      port = distributed_utils.find_free_port()
      return launch_and_eval(self.opt, port)
  
file_path: ParlAI/parlai/scripts/multiprocessing_eval.py
imports: import torch
  import os
  import signal
  import parlai.scripts.eval_model
  import parlai.utils.distributed
  import parlai.utils.fsdp
  from parlai.core.script import ParlaiScript, register_script
label_desc: Use image node_id 2 for calling the MultiProcessEval obj's underlying member method code with example usage: obj.run() and returns: launch_and_eval