You should be able to do similar things. Fred
Le mer. 17 janv. 2018 14:37, Minh Ngo <[email protected]> a écrit : > Hello, > > Before theano version 1.0 it was quite straightforward to port existent > CUDA layers available in Caffe to Theano by writing a small piece of CUDA > code and specifying the *.cu file using the theano.sandbox.cuda.GpuOp . For > instance, the correlation layer which I have ported for the FlowNet > architecture [1, 2]. > > I would like to ask if there is any straightforward way to do the same > using the newly introduced libgpuarray backend. > > - Minh > > [1]: > https://github.com/Ignotus/theano-flownet/blob/master/correlation_layer.cu > [2]: > https://github.com/Ignotus/theano-flownet/blob/master/correlation_layer.py > > -- > > --- > You received this message because you are subscribed to the Google Groups > "theano-users" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > For more options, visit https://groups.google.com/d/optout. > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
