ANEForge: Python for direct computation on the Apple Neural Engine
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 ...
| Authors | Spencer H. Bryngelson |
|---|---|
| Primary category | cs.PL |
| Published | 12 June 2026 |
| Last updated at source | 15 October 2026 |
Models and datasets referencing this paper
- aneforge/ane-rooflinesDataset
- aneforge/gpt2Model
- aneforge/all-MiniLM-L6-v2Model
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