PYTORCH INTERNALS

Summary from the TLDR Web Dev newsletter

This is a guide to the inner workings of the PyTorch library. It is structured in two parts: (1) a conceptual overview of tensor libraries, including data types, extension points, and automatic differentiation; and (2) practical coding aspects with guidance on navigating the codebase, kernel writing, and optimizing the development workflow.