You can find my question also on stackoverflow: http://stackoverflow.com/q/40487105/4603642
I built a neural network which needs to use the Cholesky decomposition and solve triangular systems as part of its computation. This means that I also need to compute the gradients of the whole computation, of course. When I try to compile the code I get the error "No Cula available". Unfortunately, I can't download Cula from the http://www.culatools.com/downloads/dense/ I was wondering if it's possible to mix CPU and GPU with theano. The matrices I need to use Cholesky and Solve on are small (100x100) so I could do that part on the CPU. To do so, though, I'd need to transfer the matrices to the CPU right after they've been computed by the GPU and then send the result back to the GPU. Is it possible to do this transparently enough? -- --- 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.
