ray/python/benchmarks/benchmark_task.py
Robert Nishihara 32f0d6b77e Deprecate num_workers argument to ray.init and ray start. (#3114)
* Remove num_workers argument.

* Fix

* Fix
2018-10-28 20:12:49 -07:00

61 lines
1.4 KiB
Python

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import ray
def setup():
if not hasattr(setup, "is_initialized"):
ray.init(num_cpus=10, resources={"foo": 1})
setup.is_initialized = True
def square(x):
return x * x
class TaskSuite(object):
timeout = 10
def setup(self):
self.square = ray.remote(square)
def run_many_tasks(self):
ray.get([self.square.remote(i) for i in range(100)])
def run_task_dependency(self):
first_oid = self.square.remote(2)
second_oid = self.square.remote(first_oid)
ray.get(second_oid)
def time_submit_task(self):
self.square.remote(2)
def time_task_lifecycle(self):
ray.get(self.square.remote(2))
def peakmem_task_lifecycle(self):
ray.get(self.square.remote(2))
def time_run_many_tasks(self):
self.run_many_tasks()
def peakmem_run_many_tasks(self):
self.run_many_tasks()
def time_task_dependency(self):
self.run_task_dependency()
def peakmem_task_dependency(self):
self.run_task_dependency()
class CPUTaskSuite(TaskSuite):
def setup(self):
self.square = ray.remote(num_cpus=1)(square)
class CustomResourceTaskSuite(TaskSuite):
def setup(self):
self.square = ray.remote(resources={"foo": 1})(square)