I answered on stackoverflow.

On Tue, Nov 8, 2016 at 11:17 AM, Kiuhnm Mnhuik <[email protected]> wrote:

> 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?
>
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