PyTorch Internals 19 - Extension Packaging, Testing, and ABI Stability
A custom operator becomes real production code only when packaging, testing, and compatibility concerns are handled properly
Why packaging matters
A local extension that builds once is not enough. Real use means dealing with:
- PyTorch version drift
- CUDA toolkit differences
- build-environment differences
- CI and distribution concerns
It also means testing more than just the happy path:
- forward correctness
- backward correctness
- dtype and device combinations
- contiguous and non-contiguous input
- mixed precision behavior
The final post closes the series by turning these internals topics into a practical learning and engineering path.