Comments (2)
The problem could be with the 'F.dropout' function in the issue below!
Unfortunately I currently do not have any access to GPUs this semester :(
Will attend to the issue after June!
from wide-resnet.pytorch.
Hi, i have checked the issues on F.dropout and altered the 'F.dropout' related codes according to https://github.com/xternalz/WideResNet-pytorch/blob/master/wideresnet.py.
It terms out this is not the major problem. Seems to me there exist some implementation errors in the model. I have able to reproduce the result using xternalz git repo.
from wide-resnet.pytorch.
Related Issues (15)
- Unable to reproduce the accuracy of WRN-28-10 on Cifar-100 HOT 23
- Stride is Wrong HOT 1
- Checkpoints
- How to train WRN 34?
- Activation functions in WRN? HOT 1
- Wide-ResNet 28-10-0.3 for CIAFR10 produced a low test accuracy
- Var of CIFAR10 wrong
- Support for imagenet? HOT 3
- About dropout and shortcut in residual block
- These ResNets are not for CIFAR10
- TypeError: can't multiply sequence by non-int of type 'float' in _wide_layer HOT 1
- IndexError HOT 1
- Definition of Optimizer in train function
- Wrong Implementation HOT 2
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