Comments (2)
senya-ashukha
commented on July 18, 2024
Hi,
Thank you for tracking the bug, unfortunately, our code working only with GPU. But fortunately, it's very easy to fix, if you replace GPU Convolution (dnn.dnn_conv) in Conv2DVarDropOutARD on CPU one it will fix the issue.
from variational-dropout-sparsifies-dnn.
agnonchik
commented on July 18, 2024
OK, thanks.
from variational-dropout-sparsifies-dnn.
Related Issues (11)
- Will you make the code for the algorithm itself available?
- Details for reproducing LeNet-5 results in ICML paper HOT 1
- Cross entropy loss mutliplied by training set size
- Additive Noise Reparameterization HOT 5
- cudnn version? HOT 2
- How to approximate the D_KL? HOT 4
- Блокнот и пример
- How to generate the dynamic image that shows the sparsity of weights through out the training as shown in README HOT 1
- Is it possible to compress already existing trained network? HOT 1
- How do you choose the threshold? HOT 2
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from variational-dropout-sparsifies-dnn.