ray/scripts/shell.py
2016-07-16 14:42:58 -07:00

39 lines
1.9 KiB
Python
Executable file

#!/usr/bin/env python
import os
import sys
import numpy as np
import ray
import ray.array.remote as ra
import ray.array.distributed as da
import example_functions
def main(argv):
DEFAULT_NUM_WORKERS = 1
DEFAULT_WORKER_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "default_worker.py")
import argparse # No need for this to be global
parser = argparse.ArgumentParser(description="Parse shell options")
parser.add_argument("--scheduler-address", default="127.0.0.1:10001", type=str, help="the scheduler's address")
parser.add_argument("--objstore-address", default="127.0.0.1:20001", type=str, help="the objstore's address")
parser.add_argument("--worker-address", default="127.0.0.1:30001", type=str, help="the worker's address")
parser.add_argument("--attach", action="store_true", help="If true, attach the shell to an already running cluster. If false, start a new cluster.")
parser.add_argument("--worker-path", type=str, help="Path to the worker script")
parser.add_argument("--num-workers", type=int, help="Number of workers to start")
args, unknown_args = parser.parse_known_args(argv)
if args.attach:
assert args.worker_path is None, "when attaching, no new worker can be started"
assert args.num_workers is None, "when attaching, no new worker can be started"
ray.worker.connect(args.scheduler_address, args.objstore_address, args.worker_address, is_driver=True, mode=ray.SHELL_MODE)
else:
ray.services.start_ray_local(num_workers=args.num_workers if not args.num_workers is None else DEFAULT_NUM_WORKERS,
worker_path=args.worker_path if not args.worker_path is None else DEFAULT_WORKER_PATH,
driver_mode=ray.SHELL_MODE)
return unknown_args
if __name__ == "__main__":
import IPython
IPython.terminal.ipapp.launch_new_instance(argv=main(sys.argv[1:]), user_ns=globals())