What are you using the PyTorch C++ API for?
== R&D neuroevolution for Computer Vision


How does your software stack look like?
== Win, Lin, Mac + Intel Fortran/C++ Compilers + VS2017 + CUDA SDK + in-house soft


And how does the PyTorch C++ API interact with other components in your stack?
== badly,… trying to understand to do organize the stack better, be happy to be in touch with FAI team for exchanging experience on it


Are you using JIT (TorchScript) models or  torch::nn  models?
== torch::nn only


Are you training models in C++?
== yes, that is why I’m using PyTorch instead of Tensorflow (no full C++ API yet)


How do you think the PyTorch C++ API (or the ecosystem in general) should be improved?
== many ways 



clear instructions for compilation from the source in static and dynamic modes as I asked in https://github.com/pytorch/pytorch/issues/25699 6

fixing the bugs described in https://github.com/pytorch/pytorch/issues/25698 6

clear quick start documentation for installation
benchmark white paper to show the advantages (vs Tensorflow, vs python version,…)
support of Intel compilers
existing ready examples (a typical) projects for windows (vs2017 solution), linux (code+makefile), macos (xcode solution)
introductory video, explaining all this in 5 mins