Question

我想在Python模块中使用multiprocessing（在Windows上）。我一直在阅读在调用if __name__ == '__main__':工具之前所需的multiprocessing语句背后的原因，以“保护程序的入口点”。但是，如果我要在模块中使用multiprocessing并将其作为更大包的一部分导入，__name__变量将始终是模块的名称，不是吗？

如何在导入的子模块中使用multiprocessing并同时“保护入口点”？

以下是我正在尝试运行的代码的相关部分：

import multiprocessing

def _redistribute_pumping(S1, E1, S2, E2, P2):
    #variable for redistributed pumping
    P1 = multiprocessing.Array('d', np.zeros((len(S1),)))
    #setup a list of processes
    processes = [multiprocessing.Process(target=_inner_distribution,
            args=(S1[idx], E1[idx], S2, E2, P2, idx, range(len(S2)), P1)
            ) for idx in range(min_idx, max_idx + 1)]
    #run the processes
    for p in processes:
        p.start()
    #exit the completed processes
    for p in processes:
        p.join()
    print P1

我收到此错误：

RuntimeError:
        Attempt to start a new process before the current process
        has finished its bootstrapping phase.

        This probably means that you are on Windows and you have
        forgotten to use the proper idiom in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce a Windows executable.

如何在包/模块中使用Python多处理

0 个答案: