I did read the blog post before posting this, but thanks for the link though. Unfortunately, I could not understand specifics from the blog post, I am re-phrasing them below:
What does we decided to marry PyTorch and Caffe2 which gives the production-level readiness for PyTorch mean exactly?
Does it mean that more of backend ops from Caffe2 and PyTorch are going to converge? Yes, from the blog post it is clear that the export and interchange is going to be easier, but I could not understand if more convergence is planned (at least for NVidia GPU / CPU ops).
For torch.script - yes, from the blog post it is clear it helps to optimize PyTorch (or imported models), but does it aim a larger place in the ecosystem (maybe even separated from PyTorch itself?)?