Connection reset by peer

Exception ignored in: <bound method _DataLoaderIter.__del__ of < object at 0x7f70a2d065f8>>
Traceback (most recent call last):
  File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/", line 399, in __del__
  File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/", line 378, in _shutdown_workers
  File "/usr/lib/python3.5/multiprocessing/", line 345, in get
    return ForkingPickler.loads(res)
  File "/usr/local/lib/python3.5/dist-packages/torch/multiprocessing/", line 151, in rebuild_storage_fd
    fd = df.detach()
  File "/usr/lib/python3.5/multiprocessing/", line 57, in detach
    with _resource_sharer.get_connection(self._id) as conn:
  File "/usr/lib/python3.5/multiprocessing/", line 87, in get_connection
    c = Client(address, authkey=process.current_process().authkey)
  File "/usr/lib/python3.5/multiprocessing/", line 493, in Client
    answer_challenge(c, authkey)
  File "/usr/lib/python3.5/multiprocessing/", line 737, in answer_challenge
    response = connection.recv_bytes(256)        # reject large message
  File "/usr/lib/python3.5/multiprocessing/", line 216, in recv_bytes
    buf = self._recv_bytes(maxlength)
  File "/usr/lib/python3.5/multiprocessing/", line 407, in _recv_bytes
    buf = self._recv(4)
  File "/usr/lib/python3.5/multiprocessing/", line 379, in _recv
    chunk = read(handle, remaining)
ConnectionResetError: [Errno 104] Connection reset by peer

My settings :
Pytorch 0.4.1
num_workers = 8

I think this error doesn’t effect on training but too much noisy.
but can I fix this ?

The error message is fixed on master. You can try using the nightlies.

Thanks for reply.