Comments (3)
there's a CuDNN R3 available which fixes some bugs, try that.
Second, can you post your model spec?
from cudnn.torch.
i meant R2RC3
from cudnn.torch.
Ok after installing R2 RC3 and rebooting, it seems to work. Might be that it was indeed some strange bug in cuDNN. I'll close this issue for now and reopen should I experience this behavior again. Thank you very much for you help and for pointing me to cudnn R2RC3 !
PS: For completeness, this is the model spec:
nn.Sequential {
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> (9) -> (10) -> (11) -> output]
(1): cudnn.SpatialConvolution
(2): cudnn.ReLU
(3): cudnn.SpatialMaxPooling
(4): cudnn.SpatialConvolution
(5): cudnn.ReLU
(6): cudnn.SpatialMaxPooling
(7): nn.View
(8): nn.Dropout
(9): nn.Linear(1600 -> 128)
(10): cudnn.ReLU
(11): nn.Linear(128 -> 10)
}
Is there anything wrong with it?
from cudnn.torch.
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from cudnn.torch.