code: def setup_args():
      parser = eval_model.setup_args()
      parser.add_distributed_training_args()
      parser.set_defaults(
          distributed_world_size=torch.cuda.device_count()
      )
      return parser
  
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 3 for calling a global function with example usage: setup_args() and returns: parser