ANEForge: Python for direct computation on the Apple Neural Engine 文章

ArXiv CS.AI2026-06-17NEWSen作者: Spencer H. Bryngelson

详细信息

来源站点
ArXiv CS.AI
作者
Spencer H. Bryngelson
文章类型
NEWS
语言
en
发布日期
2026-06-17

摘要

arXiv:2606.17090v1 Announce Type: cross Abstract: ANEForge is a Python package that programs the Apple Neural Engine (ANE), the fixed-function neural accelerator on every recent Apple device, directly and without CoreML. In production the engine is reachable only through CoreML, which treats it as a scheduling option: no configuration requires the ANE, and a model can silently run on the CPU or GPU instead. ANEForge compiles a lazy tensor graph, built from 58 fused operators and 19 native bridge operators, into a single ANE program. The program is dispatched through the same ANE daemon and kernel-driver stack as Apple's internal framework. Beyond inference, the package reaches the engine's native fused attention, streams int8, int4, and sparse weights, keeps decoder and optimizer state resident across steps, and runs the forward pass, backward pass, and optimizer update of training on the engine.

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