Python多进程共享numpy 数组的方法

# encoding:utf8
import ctypes
import os
import multiprocessing

import numpy as np

NUM_PROCESS = multiprocessing.cpu_count()


def worker(index):
    main_nparray = np.frombuffer(shared_array_base, dtype=ctypes.c_double)
    main_nparray = main_nparray.reshape(NUM_PROCESS, 10)
    pid = os.getpid()
    main_nparray[index, :] = pid
    return pid


if __name__ == "__main__":
    shared_array_base = multiprocessing.Array(
        ctypes.c_double, NUM_PROCESS * 10, lock=False)
    pool = multiprocessing.Pool(processes=NUM_PROCESS)
    result = pool.map(worker, range(NUM_PROCESS))
    main_nparray = np.frombuffer(shared_array_base, dtype=ctypes.c_double)
    main_nparray = main_nparray.reshape(NUM_PROCESS, 10)
    print( main_nparray )