Software Development
Model Authoring
Empirical rules for authoring PyTorch models for on-device execution on Apple platforms, covering energy-efficient inference, scalable compute, and correctness testing. Use this skill whenever the user is writing, debugging, or reviewing PyTorch model code intended for on-device execution — even if they don't explicitly mention Neural Engine or Core AI. Covers BC1S layout, op compatibility, KV cache patterns, precision rules, PSNR verification, activation functions, and common issues.
- Publisher / source
- apple/coreai-models (found on GitHub top repositories)
- Upstream record
- apple/coreai-models
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
0786578f0fd33562c88cbba19d84f8650a11b8a14b5c953186d926252cc57879