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.
