Comments (5)
Done. I follow https://github.com/facebookresearch/UnsupervisedMT/pull/9/files. Moreover, I also change the line 209 to:
if torch.cuda.is_available():
sent1, sent3 = sent1.cuda(), sent3.cuda()
Tnx
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Hi,
People have tried to make it run on CPU, for instance https://github.com/facebookresearch/UnsupervisedMT/pull/9/files
Maybe you can have a look at this. Overall, removing all occurrences of .cuda()
and replacing all occurrences of torch.cuda
by torch
should be enough.
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@ehsanzare I'm trying to run the same experiments , Did you benchmark on different no of CPU's . Just curious if it is linearly scalable.
Cheers.
Mohammed Ayub
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No, I did not try that on no of CPU's.
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@ehsanzare @glample I'm trying to run in in Windows, multiprocessing_event_loop.py
file is giving error saying signal has no attribute SIGUR1
. Seems like Python multiprocessing is slightly different on Windows. For now, I have replaced all occurrences of SIGUR1
with SIGTERM
and training seems to initiate fine. Not sure if this is the best solution to avoid this error.
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