Actually one thing I've just realized is that to do this consistently I need to have access to the underlying Theano pygpu Context. Is there anyway to get that?
On Tuesday, 9 May 2017 09:53:02 UTC+1, Alexander Botev wrote: > > So recently I was wondering if there is any way that after compiling a > theano function, rather than taking numpy arrays / native lists / native > numbers it can accept as an input something like a libgpuarray or anything > else that lives on the GPU. However, I know that in the computation graph > usually when you compile it there is a Transfer Op if it is on the GPU. Is > there a way to avoid that transfer? > > > -- --- 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.
