Comments (2)
This is because Pytorch selects the slow 3D-CNN operator. To solve this problem, please modify the code in config.py (line 108 and 109):
from
torch.backends.cudnn.benchmark = False torch.backends.cudnn.deterministic = True
to
torch.backends.cudnn.benchmark = True torch.backends.cudnn.deterministic = False
I set the cudnn.benchmark
and cudnn.deterministic
to make all the experiment results reproducible. For FIM, you can modify the above options.
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The problem is solved. Thanks for replying.
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Related Issues (5)
- Then performance of DFM is over qualified HOT 2
- Bug report HOT 2
- Errors in Libfm HOT 1
- Unable to download wiki-data graph HOT 1
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