ray/test/microbenchmarks.py
2016-06-02 16:52:14 -07:00

85 lines
3.4 KiB
Python

import unittest
import orchpy
import orchpy.services as services
import time
import os
import numpy as np
import test_functions
class MicroBenchmarkTest(unittest.TestCase):
def testTiming(self):
test_dir = os.path.dirname(os.path.abspath(__file__))
test_path = os.path.join(test_dir, "testrecv.py")
services.start_singlenode_cluster(return_drivers=False, num_workers_per_objstore=3, worker_path=test_path)
# 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()
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])
self.assertTrue(average_elapsed_time < 0.0007) # should take 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()
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])
self.assertTrue(average_elapsed_time < 0.002) # should take 0.001
# measure the time required to submit a remote task to the scheduler and pull the result
elapsed_times = []
for _ in range(1000):
start_time = time.time()
x = test_functions.trivial_function()
orchpy.pull(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 pull 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])
self.assertTrue(average_elapsed_time < 0.002) # should take 0.0013
# measure the time required to do do a push
elapsed_times = []
for _ in range(1000):
start_time = time.time()
orchpy.push(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 push 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])
self.assertTrue(average_elapsed_time < 0.002) # should take 0.00087
services.cleanup()
if __name__ == '__main__':
unittest.main()