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September 4, 2018 19:58
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Benchmark Script for AZFour
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import concurrent.futures | |
import numpy as np | |
from graphpipe import remote | |
import time | |
GP_SERVER = "http://127.0.0.1:9000" | |
WORKERS = 40 | |
def do_work(num): | |
count = 0 | |
for i in range(100//num): | |
inp = np.zeros((num, 2, 6, 7)).astype(np.float32) | |
remote.execute(GP_SERVER, inp) | |
count += inp.shape[0] | |
return count | |
def benchmark(batch_size): | |
total = 0 | |
start = time.time() | |
with concurrent.futures.ThreadPoolExecutor(max_workers=WORKERS) \ | |
as executor: | |
futures = [executor.submit(do_work, batch_size) | |
for i in range(WORKERS)] | |
for future in concurrent.futures.as_completed(futures): | |
count = future.result() | |
total += count | |
duration = time.time() - start | |
throughput = total/duration | |
print("%s,%s" % (batch_size, throughput)) | |
if __name__ == "__main__": | |
for i in [1, 2, 3, 5, 7, 10, 15, 20, 30, 40, 50]: | |
benchmark(i) |
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