anira-backends

Prebuilt inference-engine binaries for anira. Each backend is built from source (or repackaged from an upstream prebuilt) and published as GitHub release archives that anira's CMake downloads at configure time.

Backends

Backend	C API	Upstream	lib name	License
TFLite	TfLite*	tensorflow/lite	tensorflowlite_c	Apache-2.0
LiteRT	LiteRt*	google-ai-edge/LiteRT	LiteRt	Apache-2.0
ONNXRuntime	—	microsoft/onnxruntime	onnxruntime	MIT
LibTorch	—	pytorch/pytorch	torch	BSD-3
ExecuTorch	—	pytorch/executorch	executorch	BSD-3

TFLite and LiteRT are two C APIs for the same runtime (LiteRT is the rebranded TensorFlow Lite): TfLite* is the mature legacy API; LiteRt* is LiteRT's newer native API. Pick one.

LibTorch and ExecuTorch are two PyTorch C++ runtimes: LibTorch is the full desktop runtime; ExecuTorch is the on-device runtime that runs ahead-of-time-exported .pte models. We ship a generic ExecuTorch (full CPU op set + XNNPACK, not a per-model selective build), so one package loads any .pte. Both are consumed via find_package (Torch / executorch).

This repo is licensed Apache-2.0; the published binaries follow their upstream licenses (above).

Support matrix

What ships per target — shared and/or static:

Target	TFLite	LiteRT	ONNXRuntime	LibTorch	ExecuTorch
macOS x86_64	shared · static	shared · static	shared · static	shared	static
macOS arm64	shared · static	shared · static	shared · static	shared	static
macOS universal	shared · static	shared · static	shared · static	shared	static
Linux x86_64	shared · static	shared · static	shared · static	shared	static
Linux aarch64	shared · static	shared · static	shared · static	shared	static
Windows x86_64	shared · static ¹	shared · static ¹	shared · static ¹	shared	static
Windows arm64	shared · static ¹	shared · static ¹	shared · static ¹	shared	static
Android (arm64-v8a + x86_64)	shared · static	shared · static	shared · static	—	—
iOS (xcframework)	static	static	static	—	—
WASM (Emscripten)	—	—	static ²	—	—

macOS shared dylibs are Developer ID code-signed (Hardened Runtime, timestamped); the consuming app re-signs/notarizes on embed.

¹ Windows static also ships a Debug variant.

² Emscripten static archive — build flags and consumer requirements in engines/onnxruntime.

ExecuTorch is static-only, built from source on every leg (no upstream prebuilt desktop runtime), CPU-first (XNNPACK + optimized kernels everywhere; CoreML/MLX wired in on Apple but off — see engines/executorch). Android/iOS and the cross-platform Vulkan GPU delegate are deliberate follow-ups.

— = not provided.

Per-backend build details (e.g. LiteRT's LiteRt* vs TfLite* API split, Windows-arm64 from-source toolchain, Android static) live in each engine's README under engines/<backend>/.

Releases

Backends are versioned independently but released together, keyed to the anira version: tag v2.1.1 builds every backend at its pinned engines/<backend>/VERSION and publishes all archives to a single release v2.1.1.

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