one GPU about upsnet

[YuwenXiong]

please follow this #36 (comment)

[gh2517956473]

Thank you！

[lfdeep]

Thank you！
Hello,i use one gpu,but it occured:
ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
Traceback (most recent call last):
File "upsnet/upsnet_end2end_train.py", line 414, in
upsnet_train()
File "upsnet/upsnet_end2end_train.py", line 268, in upsnet_train
data, label, _ = train_iterator.next()
File "/root/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 330, in next
idx, batch = self._get_batch()
File "/root/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 309, in _get_batch
return self.data_queue.get()
File "/root/anaconda3/lib/python3.7/multiprocessing/queues.py", line 352, in get
res = self._reader.recv_bytes()
File "/root/anaconda3/lib/python3.7/multiprocessing/connection.py", line 216, in recv_bytes
buf = self._recv_bytes(maxlength)
File "/root/anaconda3/lib/python3.7/multiprocessing/connection.py", line 407, in _recv_bytes
buf = self._recv(4)
File "/root/anaconda3/lib/python3.7/multiprocessing/connection.py", line 379, in _recv
chunk = read(handle, remaining)
File "/root/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 227, in handler
_error_if_any_worker_fails()
RuntimeError: DataLoader worker (pid 31613) is killed by signal: Bus error. Details are lost due to multiprocessing. Rerunning with num_workers=0 may give better error trace.

[lfdeep]

Can I use one GPU with 12G memory to train? Where does the code need to change?
Thank you very much！

Hello,Can you run the code successfully on a gpu?

[pkuCactus]

Thank you for great work. what if i use horovod on a single gpu machine?I tried it and found it fast than not use horovod, do this have any problem?Moreover, how could i run multiple horovod worker to mimic multiple gpu on a single gpu machine, thanks a lot. Expect your reply.