I also have the same problem.
Traceback (most recent call last):
File "train.py", line 20, in <module>
for i, data in enumerate(dataset):
File "/home/elias/.local/lib/python3.5/site-packages/torch/utils/data/dataloader.py", line 195, in __next__
idx, batch = self.data_queue.get()
File "/usr/lib/python3.5/multiprocessing/queues.py", line 345, in get
return ForkingPickler.loads(res)
File "/home/elias/.local/lib/python3.5/site-packages/torch/multiprocessing/reductions.py", line 70, in rebuild_storage_fd
fd = df.detach()
File "/usr/lib/python3.5/multiprocessing/resource_sharer.py", line 57, in detach
with _resource_sharer.get_connection(self._id) as conn:
File "/usr/lib/python3.5/multiprocessing/resource_sharer.py", line 87, in get_connection
c = Client(address, authkey=process.current_process().authkey)
File "/usr/lib/python3.5/multiprocessing/connection.py", line 487, in Client
c = SocketClient(address)
File "/usr/lib/python3.5/multiprocessing/connection.py", line 614, in SocketClient
s.connect(address)
ConnectionRefusedError: [Errno 111] Connection refused
I don’t use conda or miniconda, maybe that rules something out?