RuntimeError: An attempt has been made to start a new process before the current process（解决方案））

原创 已于 2022-03-11 22:02:20 修改 · 1.7w 阅读 · 45 ·
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#pytorch #人工智能 #python

于 2022-03-11 22:00:38 首次发布
在Windows系统中使用PyTorch训练模型时遇到RuntimeError，提示不能在非fork环境下启动新进程。错误原因在于DataLoader的num_workers设置不正确。解决方案是将num_workers设置为0，确保在Windows上避免使用多进程加载数据。修改配置后，问题得以解决。

在使用pytorch训练模型时，遇到了这样的错误：

RuntimeError:
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ..
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### Python 多进程启动时遇到的 `RuntimeError` 错误解决方案 当使用 `multiprocessing` 库创建子进程时，在某些情况下可能会遇到如下错误： ```plaintext RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase. ``` 此错误通常发生在 Windows 或者其他不支持 fork 的平台上，因为这些平台上的新进程通过 spawn 方式启动[^2]。 为了防止这种错误的发生，确保所有的多进程代码都放置在 `if __name__ == '__main__'` 守护语句之下。这可以避免导入模块时意外触发新的进程创建操作。下面是一个简单的例子来展示如何正确设置一个多进程应用程序[^3]： ```python from multiprocessing import Process, freeze_support def worker(): """worker function""" print('Worker') if __name__ == '__main__': freeze_support() p = Process(target=worker) p.start() p.join() ``` 对于更复杂的应用场景，比如使用 `Pool` 来管理多个工作线程/进程的情况，则还需要调用 `freeze_support()` 函数以进一步增强兼容性和稳定性。 如果仍然遇到了上述提到的 `RuntimeError`，那么可能是因为主脚本文件被当作库文件引入到了另一个进程中去了；此时应该检查项目结构并调整为仅允许顶层入口点作为独立运行单元存在[^1]。
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