[nxb]

Show me one C/C++ library that competes with Theano or Torch7?

Google / Facebook and many other huge companies are using Theano and Torch7 in production, at scale. The ML industry has been continuously moving in this direction for years now.

On these optimized ML systems, only a tiny fraction of CPU time is spent outside of the GPU. The goal in many of these companies is to migrate all tasks that can be done on GPUs to GPUs, as soon as possible. It's far faster and more cost efficient.

[novocaine]

Do you have some sources demonstrating that google and facebook are using them in scaled production? My impression was that presently these were more for research and prototyping.

I would have thought that if you were going to run prod systems in the gpu you would actually write CUDA (C++) or similar to avoid the inefficiency of the abstraction layer.

(also, this comment is bordering on the uncivil).

[srean]

> show me ...

I can only bring the horse to the water (or Google as its sometimes called these days) :)

>Google/Facebook and many other huge companies ... You are totally wrong.

That totally settles it then thank you, who am I to argue and surely there are no ML jobs that spend time outside of GPU.