我有这个文件(它没有任何有用的工作,仅用于学习):
import multiprocessing,sys
def parent(numproc=2):
print ('at start')
childs=[]
print ('bfore Pipe')
(parentEnd,childEnd)=multiprocessing.Pipe()
i=0
print ('printing i:',i)
child=multiprocessing.Process(target=child_proc, args=(childEnd,i))
print ('created child')
child.start()
print ('started child')
print ('joining child')
child.join()
print ('joined child')
print ('exeted from for i in childs')
mins=[1,2]
print ('task ended. result: ',min(mins))
def child_proc(pipe,name):
pass
if __name__ == '__main__':
parent()
在这种形式下它运行完美:
at start
bfore Pipe
printing i: 0
created child
started child
joining child
joined child
exeted from for i in childs
task ended. result: 1
但是如果我把它放在文件末尾而不是
if __name__ == '__main__':
parent()
仅
parent()
它陷入循环......
at start
bfore Pipe
printing i: 0
created child
started child
joining child
at start
bfore Pipe
printing i: 0
created child
started child
joining child
at start
bfore Pipe
printing i: 0
created child
started child
joining child
Traceback (most recent call last):
为什么?!这个 if 子句有何不同?
这是 MS Windows 上
multiprocessing
的问题:主模块由子任务导入,因此任何不受 if __name__ . . .
子句保护的代码都会再次运行,从而导致无限循环。
子流程具有以下
__name__
:__parents_main__
,不再是__main__
。这就是为什么当您测试 __name__
变量时,您的进程不会循环。
有关这方面的更多信息,请参阅章节安全导入主模块
def f(x, a):
return a*x*x
def foo():
if __name__ == "__main__":
from multiprocessing import Pool
import functools
with Pool(4) as p:
print(p.map(functools.partial(f, a=1.0), range(1,50)))
foo()