code: def main():
      executor = submitit.AutoExecutor(folder=LOGS_DIR)
      executor.update_parameters(
          nodes=NUM_NODES,
          gpus_per_node=NUM_TASKS_PER_NODE,
          tasks_per_node=NUM_TASKS_PER_NODE,
          cpus_per_task=NUM_CPUS_PER_TASK,
          slurm_partition=PARTITION,
      )
      task = Task()
      job = executor.submit(task)
      submitit.helpers.monitor_jobs([job])
      print(job.results()[0])
      return 0
  
file_path: submitit/docs/examples/torch_distributed.py
imports: import os
  import sys
  import time
  import torch
  import submitit
label_desc: Use image node_id 2 for calling a global function with example usage: main() and returns: int