I'm a little confused regarding the two backends. Is there any recommendation to when we should be using one or the other? I installed both on my Ubuntu machine, and I don't even know which one I'm using for my convnets. How can I tell? Or how can I configure it to use one or another?
On Wed, Nov 9, 2016 at 8:48 AM, Frédéric Bastien <[email protected] > wrote: > It could be that the new back-end (libgpuarray) is faster and more > efficient in that cases. So just use that back-end :) > > The speed difference between both back-end isn't constant, but should be a > little bit faster with the new back-end in average. > > We have found a few speed regression in the new back-end, but they where > fixed. If you found one, just tell us and we'll fix it. But the probably is > still low of having slowdown in the new back-end. > > We just merged one such fix with indexing. Make sure to update libgpuarray > and recompile it if you want to be sure to have the fastest version. > > Fred > > On Tue, Nov 8, 2016 at 1:56 PM, Ragav Venkatesan < > [email protected]> wrote: > >> Ok, here is a problem I'm getting and I am not sure how to solve this. If >> I use the libgpuarray backend on the cnn_tutorial I am getting a 98% gpu >> tutilization with cudnn 5105. If I use cuda backend, I am only getting >> about 35% utilization. >> Anyidea why this might be so ? >> >> On Monday, October 24, 2016 at 9:38:17 AM UTC-7, nouiz wrote: >>> >>> What errors do you have? Delete your Theano cache, just in case and be >>> sure to use Theano dev version. The last release don't support it I think. >>> >>> Fred >>> >>> On Mon, Oct 24, 2016 at 12:33 PM, Michael Klachko <[email protected]> >>> wrote: >>> >>>> Yes, it's supported, I'm using it right now (CUDA 8.0 on Ubuntu 14.04): >>>> >>>> >>> import theano >>>> Using gpu device 0: TITAN X (Pascal) (CNMeM is enabled with initial >>>> size: 30.0% of memory, cuDNN 5105) >>>> >>> print theano.__version__ >>>> 0.9.0dev3.dev-20fd30a38d34687e9d944140042762ca9fca6276 >>>> >>>> >>>> >>>> >>>> >>>> On Saturday, October 22, 2016 at 2:54:00 PM UTC-7, Ragav Venkatesan >>>> wrote: >>>>> >>>>> I updated and I'm getting some weird errors. With Cuda backend, >>>>> convolutions only run on CPU and with libgpuarray backend GPUs only run at >>>>> about 35% util. >>>>> >>>>> >>>>> -- >>>> >>>> --- >>>> 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. >>>> >>> >>> -- >> >> --- >> 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. >> > > -- > > --- > You received this message because you are subscribed to a topic in the > Google Groups "theano-users" group. > To unsubscribe from this topic, visit https://groups.google.com/d/ > topic/theano-users/bSTnP3yLorw/unsubscribe. > To unsubscribe from this group and all its topics, send an email to > [email protected]. > 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.
