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Vectorizer: Vectorizing NumPy Programs with Shape-Guided Rewrite

arXiv · AI, language, vision and robotics · article · Sep 8, 2026 · UTC

NumPy is a widely used Python library for numerical scientific computing, known for its declarative APIs and its optimized implementations. However, writing efficient NumPy programs, which often entails using vectorized array operations instead of explicit Python loops, may not be straightforward. This can be difficult for programmers who are accustomed to imperative array traversal, especially when vectorized API invocations require careful reasoning about shapes, broadcasting, and advanced indexing. This paper presents a rewrite-based approach for vectorizing Numpy programs with explicit loo

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Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-09-08T00:59:25.000Z

First collected: 2026-09-20T20:22:01.598Z. This is not the publication date.