Hi all,
How would one go about extending the basic dataset and writing a backend for it in C++?
I have read the Contribution Guide. It is suggested there that new Ops should be added to ATen native package:

Modern implementations of operators. If you want to write a new operator, here is where it should go. Most CPU operators go in the top level directory, except for operators which need to be compiled specially; see cpu below.

However, I don’t want my backend to be a method on a Tensor or a Variable. I would like to be able to create more than just a function. I would like to connect to a database using api in C++ and use that to create a python DataSet object.
For that I would need more than just a function. I would like to be able to create a c++ object and call it from python code. Any ideas how I could do that?
I would also like it to be a part of the pytorch project and not a cusom extention like from this tutorial 1. Any suggestions where would be the best place to put it?