I'm trying to use tqdm
through multi processes. And the behavior is not as expected. I think the point is that the value of pbar
doesn't update through the processes. So how to deal with this problem? I have also tried to use Value
to update pbar.n
manually, but still failed. It seems tqdm
doesn't support update value and render manually.
def test(lock, pbar):
for i in range(10000):
sleep(0.1)
lock.acquire()
pbar.update()
lock.release()
pbar = tqdm(total = 10000)
lock = Lock()
for i in range(5):
Process(target = test, args = (lock, pbar))
tqdm(range(0, 30)) does not work with multiprocessing (as formulated in the code below).
Usage. Using tqdm is very simple, you just need to add your code between tqdm() after importing the library in your code. You need to make sure that the code you put in between the tqdm() function must be iterable or it would not work at all.
tqdm does not require any dependencies and works across multiple python environments. Integrating tqdm can be done effortlessly in loops, on iterable, with Pandas or even with machine learning libraries— just wrap any iterable with tqdm(iterable) , and you're done!
I think tqdm is meant for long loops, not short loops that takes a lot of time. That is because tqdm estimates the ETA based on the average time it took a cycle to complete, so it wont be that useful.
Generally, each process has its own data, independent of every other process.
Spawning a new process (which calls os.fork
on Unix) creates a copy of the
current process. Each process obtains its own copy of all global values (such as
pbar
). Each process's global variables may share the same names as variables
in the other processes, but each can hold an independent value.
In your case it looks like you want just one pbar
to exist, and all calls to
update
should update that one pbar
. So create pbar
in only one process,
and use a Queue
to send signals to that process to update pbar
:
import multiprocessing as mp
SENTINEL = 1
def test(q):
for i in range(10000):
sleep(0.1)
q.put(SENTINEL)
def listener(q):
pbar = tqdm(total = 10000)
for item in iter(q.get, None):
pbar.update()
if __name__ == '__main__':
q = mp.Queue()
proc = mp.Process(target=listener, args=(q,))
proc.start()
workers = [mp.Process(target=test, args=(q,)) for i in range(5)]
for worker in workers:
worker.start()
for worker in workers:
worker.join()
q.put(None)
proc.join()
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