It can be normal for a graph to have a part still on CPU, especially for the computations that are dealing with shape computation. If you see int scalars or short vectors of int on the CPU, it should not be an issue, and the GPU is still used for the actual heavy computation.
On Thu, Oct 27, 2016, Ghaelen88 wrote: > Hi Fred! Thanks so much for the answer! Not sure which part of the tutorial > is addressing the integers, > > So what you mean if that there's any integer in the theano symbolic tree > that computation is not going to be executed on the GPU? > > On Wednesday, October 26, 2016 at 3:50:59 PM UTC+1, nouiz wrote: > > > > I think you misunderstood something. The current/old gpu back-end only > > support float32. It don't support any int. Not even int32. There is a few > > work around internally, but if you need to work on integer use the new gpu > > back-end: > > > > > > http://deeplearning.net/software/theano/tutorial/using_gpu.html#gpuarray-backend > > > > Fred > > > > On Tue, Oct 25, 2016 at 5:37 AM, Ghaelen88 <[email protected] > > <javascript:>> wrote: > > > >> > >> > >> <https://lh3.googleusercontent.com/-ukMswfeSQkI/WA8nWuqfe6I/AAAAAAAAAYE/A4a99ROSrw0twSELiZzxiuPbjv5cz2pbwCLcB/s1600/Screen%2BShot%2B2016-10-25%2Bat%2B10.34.34.png> > >> > >> > >> <https://lh3.googleusercontent.com/-gVilakFH7o8/WA8m_S0GwFI/AAAAAAAAAYA/xX3f-7ubL5k_chOMtpLKmtY-YJyN003RQCLcB/s1600/Screen%2BShot%2B2016-10-25%2Bat%2B10.27.37.png> > >> > >> > >> > >> > >> <https://lh3.googleusercontent.com/-MAhiwbUKS38/WA8mDT08o4I/AAAAAAAAAX4/_tOGQI3aTOQdR17iVlzSgyVwidhk1dr-wCLcB/s1600/Screen%2BShot%2B2016-10-25%2Bat%2B10.27.37.png> > >> Hi everyone, I'm trying to run some code entirely on the GPU, but when I > >> print the symbolic graph it seems some operations are still happening on > >> the CPU are they are using int64 values (which I guess need the CPU as GPU > >> supports just int32. In particular, it seems that the sub-tensor operation > >> that goes then into the scan. > >> > >> So I have two questions (related to the two images above): > >> > >> 1) How can I make sure I use the sub-tensor operation with int32 and only > >> shared variables? > >> 2) If the scan node says for{CPU, scan_fn} does that mean I'm still using > >> mainly the CPU? > >> > >> Thanks so much! > >> > >> > >> > >> -- > >> > >> --- > >> 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. -- Pascal -- --- 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.
