Would be nice to have it as an option. My desktop PC and my laptop both have CUDA-enabled graphics, and that isn't uncommon anymore.
Also, if you are training on a GPU you can probably avoid a lot of hassle if you expect to run it on a GPU as well. I don't know how other NN implementations handle it, but the GPU-to-CPU conversion script that comes with the Theano-based pylearn2 kit doesn't work very reliably. Also, even quite big nets probably can be run on modest GPUs reasonably well (within memory bounds). It's the training where the size really hurts. On Tue, Mar 1, 2016 at 6:19 PM, Petr Baudis <pa...@ucw.cz> wrote: > On Tue, Mar 01, 2016 at 09:14:39AM -0800, David Fotland wrote: >> Very interesting, but it should also mention Aya. >> >> I'm working on this as well, but I haven’t bought any hardware yet. My goal >> is not to get 7 dan on expensive hardware, but to get as much strength as I >> can on standard PC hardware. I'll be looking at much smaller nets, that >> don’t need a GPU to run. I'll have to buy a GPU for training. > > But I think most people who play Go are also fans of computer games that > often do use GPUs. :-) Of course, it's something totally different from > NVidia Keplers, but still the step up from a CPU is tremendous. > > Petr Baudis > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
