Hugh Perkins

Hmmmm .... well.... clnn contains a wrapper for 1-d convolutions. https://github.com/hughperkins/clnn/blob/master/TemporalConvolution2.lua I confess I'm unlikely to dedicate any time to implementing this in DeepCL in the short-term. I dont imagine...

Note: I think an appropriate way forward for this might be to migrate to use https://github.com/BVLC/caffe/issues/4155 , so that any kernels are shared across OpenCL projects.

Correct. Can you confirm what makes you feel this might not be the case? On 15 November 2016 10:35:01 GMT+00:00, dex1990 [email protected] wrote: > hi,@hughperkins > did DeepCL support 3D...

> I'm hoping to have a proposal for stride in the not too distant future. Sounds good :) > I wonder how hard 1D would be after doing that. Its...

Possibly, but it wasnt designed exactly for that purpose: it was designed conceptually as an ensemble, to improve predictions. Which is similar to what you want. But you might find...

It would need a bunch of work. Basically the way FPGAs work is that you first program them with the kernels, then you can run that same kernel over and...

I'm busy working on cuda-on-cl currently, https://github.com/hughperkins/cuda-on-cl , which is a very general tool, to compile NVIDIA® CUDA™ applications, such as ml libraries/frameworks, for OpenCL 1.2 devices. I envisage it...

jeigen simply wraps the underlying eigen. I havent done anything special to enable sse or multithread. How would you enable sse or multithread when using from c++ directly?

Nice! Sounds like pretty close. Is it possible that it's just a super-old version of Eigen? What happens if you upgrade to a newer version of Eigen? (Alternatively, if you...

The c++ part of jeigen is pretty short. You could take e.g. the dense multiply function, https://github.com/hughperkins/jeigen/blob/e4655773ed7dc6885976a93a4c8935e2612f2516/src/native/jeigen.cpp#L114-L119 , put it into a separate c++ file, and try calling it, and...