This is an abstract from a research paper called “Plain English Papers” New ML compiler uses pattern matching to speed up AI code and verify it with formal proofs. If you like this kind of analysis, you should join AImodels.fyi or follow us twitter.
Overview
- A new domain-specific language called PyPM for optimizing ML computational graphs
- Use pattern matching and rewriting rules to improve performance
- Based on logic programming concepts with recursive and non-deterministic functions
- Formal verification using the Coq proof assistant
- Includes declarative semantics and algorithmic semantics
simple english explanation
pattern matching Machine learning is like finding specific pieces in a puzzle. PyPM helps developers discover inefficient code blocks in ML programs and replace them with faster versions…