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 <michael...@gmail.com > <javascript:>> 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 theano-users...@googlegroups.com <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 theano-users+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
