Open
Description
Bug report
Bug description:
server.py
from multiprocessing.managers import BaseManager
from queue import Queue
queue = Queue()
class QueueManager(BaseManager): pass
QueueManager.register('get_queue', callable=lambda:queue)
m = QueueManager(address=('', 5000), authkey=b'abracadabra')
s = m.get_server()
s.serve_forever()
consumer.py
import time
from multiprocessing.managers import BaseManager
class QueueManager(BaseManager): pass
QueueManager.register('get_queue')
m = QueueManager(address=('', 5000), authkey=b'abracadabra')
m.connect()
queue = m.get_queue()
while True:
t = time.time()
x = queue.get()
producerA.py
from multiprocessing.managers import BaseManager
import time
import numpy as np
class QueueManager(BaseManager): pass
QueueManager.register('get_queue')
m = QueueManager(address=('', 5000), authkey=b'abracadabra')
m.connect()
queue = m.get_queue()
out_img = np.zeros((128, 128, 3), dtype=np.uint8)
for i in range(100):
t = time.time()
queue.put(
{
'type' : 'not working',
'data': out_img
}
)
print('put took', (time.time() - t)*1000)
producerB.py
from multiprocessing.managers import BaseManager
import time
import numpy as np
class QueueManager(BaseManager): pass
QueueManager.register('get_queue')
m = QueueManager(address=('', 5000), authkey=b'abracadabra')
m.connect()
queue = m.get_queue()
out_img = np.zeros((256, 256, 3), dtype=np.uint8)
for i in range(100):
t = time.time()
queue.put(
{
'type' : 'not working',
'data': out_img
}
)
print('put took', (time.time() - t)*1000)
steps to reproduce the issue
- run
server.py
- run
consumer.py
- run
producerA.py
and check theput time
and compare it withproducerB.py
put time.
put time
in producerA.py is higher than producerB.py
, however the size of data being send through shared queue objects is more in producerB.py( 256x256
) than in producerA.py (128x128
).
I don't have much context if this is related to numpy or cpython multiprocessing, but this is definitely shouldn't be the case.
Ideally it should take more time in producerB.py beacuase the size of data is relatively higher relative to producerA.py.
This is my first bug report, I'm hoping to learn something...
Thanks everyone...
CPython versions tested on:
3.10
Operating systems tested on:
Linux