Open maciejjaskowski opened 8 years ago
Yes, change Conv2DDNNLayer
to Conv2DLayer
and make sure you pass flip_filters=False
in the convolution layer constructors. Then change MaxPool2DDNNLayer
to MaxPool2DLayer
.
Thanks!
Wait a second @f0k. Argument flip_filters
does not exist in Conv2DLayer
but the vgg16.py sets flip_filters=False
. How should I understand your suggestion?
You will need to update to the bleeding-edge version of Lasagne for this: http://lasagne.readthedocs.org/en/latest/user/installation.html#bleeding-edge-version
Ok, that worked, thanks again. Do you think a 'cpu' argument could be included in lasagne recipes ?
We could simply change the file as I suggested to you, it will still use cuDNN when it's available. However, examples would stop working for Lasagne 0.1, so we should wait until we managed to release 0.2.
All networks in the zoo use DNN. Is there a way to use a pretrained model if I don't have GPU installed ?