Comments (4)
tried 2 gpu on our machine and did not encounter this error. I guess it might be caused by lack of system resources (e.g. number of processes or threads).
from freevc.
yes theoretically multi gpu can accelerate training
from freevc.
I see.
When training with multi GPU setup I get the error during eval step, but the training continues
INFO:freevc:[2.674854040145874, 2.1956264972686768, 4.762864112854004, 17.808719635009766, 1.9186915159225464, 40000, 0.00019515923892096098]
terminate called without an active exception
Exception ignored in: <function _MultiProcessingDataLoaderIter.__del__ at 0x7f71bd0233a0>
Traceback (most recent call last):
File "/home/sk/anaconda3/envs/freevc/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1466, in __del__
self._shutdown_workers()
File "/home/sk/anaconda3/envs/freevc/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1430, in _shutdown_workers
w.join(timeout=_utils.MP_STATUS_CHECK_INTERVAL)
File "/home/sk/anaconda3/envs/freevc/lib/python3.8/multiprocessing/process.py", line 149, in join
res = self._popen.wait(timeout)
File "/home/sk/anaconda3/envs/freevc/lib/python3.8/multiprocessing/popen_fork.py", line 44, in wait
if not wait([self.sentinel], timeout):
File "/home/sk/anaconda3/envs/freevc/lib/python3.8/multiprocessing/connection.py", line 931, in wait
ready = selector.select(timeout)
File "/home/sk/anaconda3/envs/freevc/lib/python3.8/selectors.py", line 415, in select
fd_event_list = self._selector.poll(timeout)
File "/home/sk/anaconda3/envs/freevc/lib/python3.8/site-packages/torch/utils/data/_utils/signal_handling.py", line 66, in handler
_error_if_any_worker_fails()
RuntimeError: DataLoader worker (pid 377049) is killed by signal: Aborted.
INFO:freevc:Saving model and optimizer state at iteration 197 to ./logs/freevc/G_40000.pth
INFO:freevc:Saving model and optimizer state at iteration 197 to ./logs/freevc/D_40000.pth
from freevc.
maybe you can set num_workers
to 0
in DataLoader
from freevc.
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from freevc.