I'll create a new thread for this. On Saturday, November 12, 2016 at 7:45:22 PM UTC-7, Ragav Venkatesan wrote: > > in htop I usually have one CPU running 100% for both cases. > > > On Saturday, November 12, 2016 at 7:43:16 PM UTC-7, Michael Klachko wrote: >> >> I'm not sure, but just by looking at CPU usage (top command on Linux) you >> should be able to see the difference. >> >> On Sat, Nov 12, 2016 at 6:19 PM, Ragav Venkatesan <[email protected]> >> wrote: >> >>> Both are using CUdNNs.. I am wondering if some ops are running on the >>> CPU, how do I find that out ? >>> >>> On Friday, November 11, 2016 at 10:00:39 PM UTC-7, Michael Klachko wrote: >>>> >>>> Do both versions use CuDNN? If gpu0 version didn't use it, that would >>>> explain the difference. Also, look at CPU usage for gpu0 version - it >>>> could >>>> be that some ops are running on CPU instead of GPU. >>>> >>>> On Fri, Nov 11, 2016 at 2:20 PM, Ragav Venkatesan < >>>> [email protected]> wrote: >>>> >>>>> Running on GTX 1080, cuda0 for device runs for 1.69 minutes at 98% , >>>>> gpu0 runs for 5.12 minutes at 34% . Both runs the same code cnn_tutorial >>>>> from theano tutorials. The code is not modified or changed at all. >>>>> floatX=float32, mode = FAST_RUN, nvcc.fastmath = True and nvcc.allowgc >>>>> =True. >>>>> >>>>> On Thursday, November 10, 2016 at 4:47:38 PM UTC-7, Michael Klachko >>>>> wrote: >>>>>> >>>>>> Yes. It depends on the size of your network/input - the smaller it >>>>>> is, the harder it is to keep 3k cores busy all the time. >>>>>> Regarding timing, you don't need to write much code: >>>>>> >>>>>> import time >>>>>> start_time = time.time() >>>>>> your code here >>>>>> print "Code ran for {:.1f} minutes".format((time.time() - >>>>>> start_time)/60) >>>>>> >>>>>> >>>>>> >>>>>> >>>>>> On Thu, Nov 10, 2016 at 3:26 PM, Ragav Venkatesan < >>>>>> [email protected]> wrote: >>>>>> >>>>>>> I'm writing a code to test this, but why do you ask this ? Is there >>>>>>> a case where nvidia-smi might give me 35% util when the GPU is actually >>>>>>> running the code as fast as it can ? >>>>>>> >>>>>>> On Wednesday, November 9, 2016 at 5:36:14 PM UTC-7, Michael Klachko >>>>>>> wrote: >>>>>>>> >>>>>>>> Ragav, so when GPU is 98% utilized, is the training faster than >>>>>>>> when it's 35% utilized? Have you timed it? >>>>>>>> >>>>>>>> On Wed, Nov 9, 2016 at 4:09 PM, Ragav Venkatesan < >>>>>>>> [email protected]> wrote: >>>>>>>> >>>>>>>>> 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]> 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 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 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 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.
