Question

我希望能够将共享数组发送到进程。我正在寻找一种方法，使我能够在共享数组的形状不断变化时重用进程。代码应该能够以交互方式运行，因此我更愿意避免使用Pool。不幸的是，我似乎无法使用multiprocessing.Pipe发送RawArray对象。有没有办法避免这个问题？

import multiprocessing as mp
from pylab import *

N = 100

Z = mp.RawArray('d', randn(100))

def process_tasks(conn):
    while True:
        task = conn.recv()
        if task is False:
            conn.send(True)
        else:
            new_Z = task[0]
            print sum(array(new_Z))
            conn.send(True)

home_pipe, away_pipe = mp.Pipe()
my_proc = mp.Process(target=process_tasks, args=(away_pipe,))
my_proc.start()

home_pipe.send((Z,))

if home_pipe.recv():
    print "Done!"

这导致：

PicklingError                             Traceback (most recent call last)
<ipython-input-4-0c6a5494376a> in <module>()
     20 my_proc.start()
     21 
---> 22 home_pipe.send((Z,))
     23 
     24 if home_pipe.recv():

PicklingError: Can't pickle <class 'multiprocessing.sharedctypes.c_double_Array_100'>: attribute lookup multiprocessing.sharedctypes.c_double_Array_100 failed

通过多处理管道

0 个答案: