if __name__ == '__main__':
# num_processes = 4
# NOTE: this is required for the ``fork`` method to work
torch.manual_seed(args.seed)
cnn.share_memory()
processes = []
for rank in range(args.num_processes):
p = mu.Process(target=train.train, args=(rank, train_iter, dev_iter, cnn, args,))
p.start()
processes.append(p)
for p in processes:
p.join()
当我运行p.start()时，此处出现错误，以下是错误消息，任何人都可以帮助我，谢谢：
Traceback (most recent call last):
File "E:/workspace/pycharmworkspace/cnn-text-classification-pytorch-update/main.py", line 144, in <module>
p.start()
File "C:\Users\bamtercelboo\Anaconda3\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Users\bamtercelboo\Anaconda3\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\bamtercelboo\Anaconda3\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\bamtercelboo\Anaconda3\lib\multiprocessing\popen_spawn_win32.py", line 65, in __init__
reduction.dump(process_obj, to_child)
File "C:\Users\bamtercelboo\Anaconda3\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: 'generator' object is not callable