Currently not many frameworks have actual fusion of kernels (to avoid launching many GPU kernels). If you look underneath a theano.scan or TF.scan, GPU kernels are still being launched individually (but are likely stream-overlapped where appropriate).
With TF's XLA compiler, they are slowly getting towards kernel fusion, which will then reduce launch overheads.
We have similar things in the works for pytorch: to quickly JIT at runtime the dynamic graph that is getting executed. More news on this will come when time-appropriate.
With TF's XLA compiler, they are slowly getting towards kernel fusion, which will then reduce launch overheads.
We have similar things in the works for pytorch: to quickly JIT at runtime the dynamic graph that is getting executed. More news on this will come when time-appropriate.