python 使用 joblib 进行简单的并行计算

python simple parallel computation with joblib

我以joblib tutorial为例。这是我的代码的样子:

from math import sqrt
from joblib import Parallel, delayed
import multiprocessing

test = Parallel(n_jobs=2)(delayed(sqrt)(i ** 2) for i in range(10))
print(test)

它产生以下错误消息:

Attempting to do parallel computing without protecting your import
on a system that does not support forking. To use parallel-computing 
in a script, you must protect you main loop using 
"if __name__ == '__main__'". Please see the joblib documentation on 
Parallel for more information

而且它运行的时间太长了。我错过了什么?

错误消息和 BrenBran 告诉您的是 a) 您应该阅读错误消息,并且 b) 您应该像这样组织代码:

from math import sqrt
from joblib import Parallel, delayed
import multiprocessing

if __name__ == '__main__':
    test = Parallel(n_jobs=2)(delayed(sqrt)(i ** 2) for i in range(10))
    print(test)

HTH 巴尼

我不得不将 backend="threading" 添加到 barny 的代码到 运行 而没有错误:

from math import sqrt
from joblib import Parallel, delayed
import multiprocessing

if __name__ == '__main__':
    test = Parallel(n_jobs=2, backend="threading")(delayed(sqrt)(i ** 2) for i in range(10))
print(test)