code: def stage3(total_num_remote_cpus, smoke=False):
      start_time = time.time()
      logger.info("Creating %s actors.", total_num_remote_cpus)
      actors = [Actor.remote() for _ in range(total_num_remote_cpus)]
      ray.get([actor.ready.remote() for actor in actors])
      stage_3_creation_time = time.time() - start_time
      logger.info(
          "Finished stage 3 actor creation in %s seconds.",
          stage_3_creation_time,
      )
  
      num_tasks = 1000
  
      if smoke:
          num_tasks //= 25
  
      # Submit a bunch of small tasks to each actor. (approximately 1070 seconds)
      start_time = time.time()
      logger.info("Submitting many small actor tasks.")
      for N in [num_tasks, num_tasks * 100]:
          x_ids = []
          for i in range(N):
              x_ids = [a.method.remote(0) for a in actors]
              if i % 100 == 0:
                  logger.info("Submitted {}".format(i * len(actors)))
          ray.get(x_ids)
      return time.time() - start_time, stage_3_creation_time
  
file_path: ray/release/nightly_tests/stress_tests/test_many_tasks.py
imports: import argparse
  import json
  import logging
  import os
  import time
  from collections import defaultdict
  import numpy
  import ray
label_desc: Use image node_id 5 for calling a global function with example usage: stage3(total_num_remote_cpus, smoke) and returns: unknown,  stage_3_creation_time