torch.no_grad():出现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() ... The "freeze_support()" line can be omitted if the program is not going to be frozen to produce an executable.
时间: 2024-02-16 16:04:59 浏览: 140
pytorch模型提示超出内存RuntimeError: CUDA out of memory.
5星 · 资源好评率100%
这个错误通常是由于在 Windows 操作系统下使用 torch.multiprocessing 时出现的。为了解决这个问题,可以在代码的开头添加以下语句:
```python
if __name__ == '__main__':
torch.multiprocessing.freeze_support()
```
这样可以确保在主进程中调用 `freeze_support()` 函数,以避免上述错误。另外,还需要在使用 `torch.multiprocessing` 时使用 `spawn` 而不是默认的 `fork` 开始子进程。具体来说,可以使用以下语句启动 multiprocessing:
```python
torch.multiprocessing.set_start_method('spawn', force=True)
```
这样可以确保在 Windows 操作系统下使用 `torch.multiprocessing` 时不会出现上述错误。
阅读全文