After investigating further I don't think this is a speed or slow issue. I think the newer version of CUDA/cuDNN using the cuda backend is not using the GPU fully. The older version (7.5/5103) of CUDA/cuDNN produce 98% GPU util but the same code on the latest versions (8.0/5105) don't. The code by the way is the lenet tutorial from theano, so its not some weird coding error also. Using the libgpuarray backend, I am able to produce 98% util even with CUDA/cuDNN (8/5105).
On Wednesday, November 9, 2016 at 9:48:40 AM UTC-7, nouiz 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] > <javascript:>> 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] <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 [email protected]. For more options, visit https://groups.google.com/d/optout.
