for 루프를 여러 프로세스로 분해하여 계산 속도를 높이는 코드를 작성했습니다.함수 안에서 루프 내에서 루프를 다중 처리하기
import numpy as np
import formfactors
from subdivide_loop import subdivide_loop
import multiprocessing
def worker(start, end, triangleI, areaI, scene, kdtree, samples, output):
form_factors = np.zeros(end-start)
for j in range(start, end):
triangleJ = np.array(scene[j][0:4])
form_factors[start] = formfactors.uniform(triangleJ, triangleI, areaI, kdtree, samples)
result = output.get(block=True)
for j in range(start, end):
result[j] = form_factors[j]
output.put(result)
def calculate_formfactors(start, end, triangleI, areaI, scene, kdtree, samples, output, nb_processes,
max_interval_length):
intervals = subdivide_loop(start, end, max_interval_length, nb_processes)
print("start")
jobs = []
for k in range(nb_processes):
p = multiprocessing.Process(target=worker,
args=(intervals[k][0], intervals[k][1], triangleI, areaI, scene, kdtree,
samples, output))
jobs.append(p)
for p in jobs:
p.start()
for p in jobs:
p.join()
results = output.get()
return results
나는이 같은 루프 내부 함수 내부 calculate_formfactors()를 호출 할 수 싶습니다
:
def outer_function():
for i in range(1000):
for j in range(i + 1, 1000, max_interval_length):
form_factors = calculate_formfactors(args)
그러나 실행이 오류 제공합니다
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
때문에를 외부 함수가 작동하는 방법에 대해서는 calculate_formfactors() 대신 outer_function()을 사용할 수 없습니다.
그래서 어떻게해야합니까?