how can i use python multiprocessing module to run matalb engine for each process?
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I'm trying to run matlab function within a python program through matlab engine in MacOS. when i run matlab engine without multiprocessing module, it runs quite well; when i run matlab engine with multiprocessing module like below, the matlab process status from running to sleeping, and never change. code:
class Demo():
def antDemo(self, lock, alive, ready):
print "now"
current = os.getcwd()
aissig = os.path.join(current, './AISSig')
os.chdir('../singleantv2.0.1/')
print "current pwd is %s" % os.getcwd()
print ready, alive
eng = matlab.engine.start_matlab()
print alive
while(alive):
lock.acquire()
file_name = alive[0]
del alive[0]
ready.append(file_name)
lock.release()
print file_name
if file_name == '.' or file_name == '..' or file_name == '.DS_Store':
continue
sigpath = os.path.join(aissig, file_name)
eng.Main(sigpath)
eng.quit()
os.chdir('../devops/')
def test1(self, lock, alive, ready):
print "start"
eng1 = matlab.engine.start_matlab()
eng1.quit()
print "end"
def test2(self, lock, alive, ready):
print "start"
eng2 = matlab1.engine.start_matlab()
eng2.quit()
print "end"
demo = Demo()
def multiproc():
file_list = os.listdir('./AISSig')
alive = file_list
ready = []
lock = multiprocessing.Lock()
#proc1 = multiprocessing.Process(target = self.antDemo, args = (lock, alive, ready))
#proc2 = multiprocessing.Process(target = self.antDemo, args = (lock, alive, ready))
#proc3 = Process(target = self.test1, args = (lock, alive, ready))
proc4 = multiprocessing.Process(target = demo.test2, args = (lock, alive, ready))
proc4.daemon = True
print proc4.is_alive()
#proc1.start()
#proc2.start()
#proc3.start()
proc4.start()
proc4.join()
print "hello"
Is there something wrong?
4 commentaires
Mohammad Sami
le 28 Jan 2020
What is your matlab version.
The current version does support starting of multiple instances of the engine.
Ze Wei Ng
le 23 Juin 2021
I belive OP was talking about multiprocessing rather than starting multiple instances
Does anyone have a workaround?
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