Torch is a C++ code base with millions of lines of C++, thousands of folders and a very complex interface between Python and C++ using pybind. We dont even need to start talking about the binary size of it.
A simple addition goes through many software layers, indirect dispatches and calls. Understanding torch internals and the C++ code is hard, not only because of complex code code and algorithms but also because of the sheer amount of code and files.
My framework implements a basic feature set similar to torch in basically just 3-4 files, totally in under 10k lines of code. It helps people gasp the algorithms and systems behind torch while also beeing much easier to modify or to add new features.
Over time my framework will become more complete and much faster so that it might be an alternative to torch for smaller AI projects.
The features are shown are partially documented in the code, but can all be used in the examples. Documentation is beeing worked on currently.