Comments (3)
Yes, it can (albeit slowly). Make sure cuda() doesn't get called and if that doesn't fix it then remove the call to DataParallel.
from vnet.pytorch.
Ah excellent! Where in the code do I take that out?
Many thanks,
Best,
Andrew
from vnet.pytorch.
Grep for references to cuda() in train.py - change the code to make sure that path is not run.
from vnet.pytorch.
Related Issues (20)
- What augmentation is used? HOT 1
- A comrehensive Readme file? HOT 3
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from vnet.pytorch.