Thank you for the reply. I see that in TensorFlow, this is implemented at the CUDA level <https://github.com/tensorflow/tensorflow/blob/d42facc3cc9611f0c9722c81551a7404a0bd3f6b/tensorflow/core/kernels/depthwise_conv_op_gpu.cu.cc> (linked), if implementing this in Theano, would it be possible to get a fast implementation using pre-existing Theano ops? Or is this something that needs to be done at a C++ / CUDA level?
On Wednesday, 24 August 2016 13:48:59 UTC-7, nouiz wrote: > > no, but if someone is interrested, it can be done in Theano too. > > Fred > > On Wed, Aug 24, 2016 at 4:09 PM, 7VoltCrayon <[email protected] > <javascript:>> wrote: > >> Does theano have the equivalent of TensorFlow's separable_conv2d function? >> Where it implements a separable factorized convolution as described in >> these slides: >> http://vincent.vanhoucke.com/publications/vanhoucke-iclr14.pdf?attredirects=0 >> >> -- >> >> --- >> 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] <javascript:>. >> 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.
