ray/test/microbenchmarks.py
Robert Nishihara fd353250c8 Make tests more informative (#372)
* Make tests more informative

* Change grpc status checks to warning instead of fatal
2016-08-11 12:40:55 -07:00

87 lines
3.3 KiB
Python

import unittest
import ray
import time
import os
import numpy as np
import test_functions
class TestMicroBenchmarks(unittest.TestCase):
@classmethod
def setUpClass(cls):
reload(test_functions)
ray.init(start_ray_local=True, num_workers=3)
@classmethod
def tearDownClass(cls):
ray.worker.cleanup()
def test_timing(self):
# measure the time required to submit a remote task to the scheduler
elapsed_times = []
for _ in range(1000):
start_time = time.time()
test_functions.empty_function.remote()
end_time = time.time()
elapsed_times.append(end_time - start_time)
elapsed_times = np.sort(elapsed_times)
average_elapsed_time = sum(elapsed_times) / 1000
print "Time required to submit an empty function call:"
print " Average: {}".format(average_elapsed_time)
print " 90th percentile: {}".format(elapsed_times[900])
print " 99th percentile: {}".format(elapsed_times[990])
print " worst: {}".format(elapsed_times[999])
# average_elapsed_time should be about 0.00038
# measure the time required to submit a remote task to the scheduler (where the remote task returns one value)
elapsed_times = []
for _ in range(1000):
start_time = time.time()
test_functions.trivial_function.remote()
end_time = time.time()
elapsed_times.append(end_time - start_time)
elapsed_times = np.sort(elapsed_times)
average_elapsed_time = sum(elapsed_times) / 1000
print "Time required to submit a trivial function call:"
print " Average: {}".format(average_elapsed_time)
print " 90th percentile: {}".format(elapsed_times[900])
print " 99th percentile: {}".format(elapsed_times[990])
print " worst: {}".format(elapsed_times[999])
# average_elapsed_time should be about 0.001
# measure the time required to submit a remote task to the scheduler and get the result
elapsed_times = []
for _ in range(1000):
start_time = time.time()
x = test_functions.trivial_function.remote()
ray.get(x)
end_time = time.time()
elapsed_times.append(end_time - start_time)
elapsed_times = np.sort(elapsed_times)
average_elapsed_time = sum(elapsed_times) / 1000
print "Time required to submit a trivial function call and get the result:"
print " Average: {}".format(average_elapsed_time)
print " 90th percentile: {}".format(elapsed_times[900])
print " 99th percentile: {}".format(elapsed_times[990])
print " worst: {}".format(elapsed_times[999])
# average_elapsed_time should be about 0.0013
# measure the time required to do do a put
elapsed_times = []
for _ in range(1000):
start_time = time.time()
ray.put(1)
end_time = time.time()
elapsed_times.append(end_time - start_time)
elapsed_times = np.sort(elapsed_times)
average_elapsed_time = sum(elapsed_times) / 1000
print "Time required to put an int:"
print " Average: {}".format(average_elapsed_time)
print " 90th percentile: {}".format(elapsed_times[900])
print " 99th percentile: {}".format(elapsed_times[990])
print " worst: {}".format(elapsed_times[999])
# average_elapsed_time should be about 0.00087
if __name__ == "__main__":
unittest.main(verbosity=2)