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ANEForge enables direct Python programming of Apple Neural Engine

A new Python package called ANEForge allows developers to directly program the Apple Neural Engine (ANE) without relying on CoreML. This bypass enables more efficient use of the ANE, which is the dedicated neural accelerator in Apple devices. ANEForge compiles tensor graphs into ANE programs, supporting operations like fused attention, various weight formats, and even training steps directly on the engine. This allows for significantly faster execution of models, such as a ResNet-18 forward pass completing in 0.33ms. AI

RANK_REASON Research paper detailing a new software tool for hardware acceleration. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ANEForge enables direct Python programming of Apple Neural Engine

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Research paper detailing a new software tool for hardware acceleration. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Spencer H. Bryngelson ·

    ANEForge: Python for direct computation on the Apple Neural Engine

    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, …