On 2019-05-24 15:59, Paul Wise wrote: > On Fri, May 24, 2019 at 1:58 AM Sam Hartman wrote: > >> So for deep learning models we would require that they be retrainable >> and typically require that we have retrained them. > > I don't think it is currently feasible for Debian to retrain the > models.
Infeasible, for sure. > I don't think we have any buildds with GPUs yet. Non-free nvidia driver is inevitable. AMD GPUs and OpenCL are not sane choices. > I don't know > about the driver situation but for example I doubt any deep learning > folks using the nvidia hardware mentioned in deeplearning-policy are > using the libre nouveau drivers. Don't doubt. Nouveau can never support CUDA well. Unless someday nvidia rethought about everything. Some good Xeon CPUs can train models as well, and a well optimized linear algebra library helps a lot (e.g. MKL, OpenBLAS). But generally CPU training takes at least 10x longer time to finish. (except some toy networks) > The driver situation for TPUs might > be better though? IDK any software detail about TPU.. > Either way I think a cross-community effort for > retraining and reproducibility of models would be better than Debian > having to do any retraining. Sounds like a good way to go. But not today. Let's do lazy execution at this point, and see how this subject evolves and how other FOSS communities think.
