ray/python/photon/photon_services.py
Robert Nishihara 072eadd57f Pipe num_cpus and num_gpus through from start_ray.py. (#275)
* Pipe num_cpus and num_gpus through from start_ray.py.

* Improve load balancing tests.

* Fix bug.

* Factor out some testing code.
2017-02-13 17:43:23 -08:00

106 lines
5 KiB
Python

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import random
import subprocess
import time
def random_name():
return str(random.randint(0, 99999999))
def start_local_scheduler(plasma_store_name,
plasma_manager_name=None,
worker_path=None,
plasma_address=None,
node_ip_address="127.0.0.1",
redis_address=None,
use_valgrind=False,
use_profiler=False,
redirect_output=False,
static_resource_list=None,
num_workers=0):
"""Start a local scheduler process.
Args:
plasma_store_name (str): The name of the plasma store socket to connect to.
plasma_manager_name (str): The name of the plasma manager to connect to.
This does not need to be provided, but if it is, then the Redis address
must be provided as well.
worker_path (str): The path of the worker script to use when the local
scheduler starts up new workers.
plasma_address (str): The address of the plasma manager to connect to. This
is only used by the global scheduler to figure out which plasma managers
are connected to which local schedulers.
node_ip_address (str): The address of the node that this local scheduler is
running on.
redis_address (str): The address of the Redis instance to connect to. If
this is not provided, then the local scheduler will not connect to Redis.
use_valgrind (bool): True if the local scheduler should be started inside of
valgrind. If this is True, use_profiler must be False.
use_profiler (bool): True if the local scheduler should be started inside a
profiler. If this is True, use_valgrind must be False.
redirect_output (bool): True if stdout and stderr should be redirected to
/dev/null.
static_resource_list (list): A list of integers specifying the local
scheduler's resource capacities. The resources should appear in an order
matching the order defined in task.h.
num_workers (int): The number of workers that the local scheduler should
start.
Return:
A tuple of the name of the local scheduler socket and the process ID of the
local scheduler process.
"""
if (plasma_manager_name == None) != (redis_address == None):
raise Exception("If one of the plasma_manager_name and the redis_address is provided, then both must be provided.")
if use_valgrind and use_profiler:
raise Exception("Cannot use valgrind and profiler at the same time.")
local_scheduler_executable = os.path.join(os.path.dirname(os.path.abspath(__file__)), "../core/src/photon/photon_scheduler")
local_scheduler_name = "/tmp/scheduler{}".format(random_name())
command = [local_scheduler_executable,
"-s", local_scheduler_name,
"-p", plasma_store_name,
"-h", node_ip_address,
"-n", str(num_workers),
]
if plasma_manager_name is not None:
command += ["-m", plasma_manager_name]
if worker_path is not None:
assert plasma_store_name is not None
assert plasma_manager_name is not None
assert redis_address is not None
start_worker_command = ("python {} "
"--node-ip-address={} "
"--object-store-name={} "
"--object-store-manager-name={} "
"--local-scheduler-name={} "
"--redis-address={}").format(worker_path,
node_ip_address,
plasma_store_name,
plasma_manager_name,
local_scheduler_name,
redis_address)
command += ["-w", start_worker_command]
if redis_address is not None:
command += ["-r", redis_address]
if plasma_address is not None:
command += ["-a", plasma_address]
if static_resource_list is not None:
assert all([isinstance(resource, int) or isinstance(resource, float) for resource in static_resource_list])
command += ["-c", ",".join([str(resource) for resource in static_resource_list])]
with open(os.devnull, "w") as FNULL:
stdout = FNULL if redirect_output else None
stderr = FNULL if redirect_output else None
if use_valgrind:
pid = subprocess.Popen(["valgrind", "--track-origins=yes", "--leak-check=full", "--show-leak-kinds=all", "--error-exitcode=1"] + command, stdout=stdout, stderr=stderr)
time.sleep(1.0)
elif use_profiler:
pid = subprocess.Popen(["valgrind", "--tool=callgrind"] + command, stdout=stdout, stderr=stderr)
time.sleep(1.0)
else:
pid = subprocess.Popen(command, stdout=stdout, stderr=stderr)
time.sleep(0.1)
return local_scheduler_name, pid