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BackendsAlternative backends

Alternative backends

Since ONNX Runtime  is written in C++, linking troubles often arise when attempting to use it in a Rust project - especially with WASM. v2.0.0-rc.10 of ort introduced support for alternative backends — that is, ONNX executors that do not use ONNX Runtime.

As the Rust ML scene has evolved, many exciting new inference engines supporting ONNX models have popped up, like 🤗 Hugging Face’s candle, Burn , and tract. These libraries, being written in pure Rust (minus some GPU kernels) play much nicer when it comes to linking, and often support any platform Rust’s standard library does. They’re also, of course, memory safe and 🦀blazingly🔥fast🚀!

Internally, alternative backend implementations are simply glue code between these libraries and the ONNX Runtime C API. Because they implement the same API as ONNX Runtime, using them in ort is as simple as adding one line of code!

Using an alternative backend

⚠️

Alternative backends are experimental, and are constantly changing and growing — use them at your own risk!

We may not be able to provide the same level of support for different backends as we do with ONNX Runtime.

Install the alternative backend

We’ll use ort-tract for this example.

Cargo.toml
[dependencies] ort-tract = "0.1.0+0.21" ...

Enable the alternative-backend feature

This instructs ort to not try to download/link to ONNX Runtime.

Cargo.toml
[dependencies.ort] version = "=2.0.0-rc.10" default-features = false # Disables the `download-binaries` feature since we don't need it features = [ "alternative-backend" ]

Initialize the backend

Use ort::set_api to use the crate’s API implementation (replacing ort_tract with whichever backend crate you choose to use):

fn main() { // This should run as early in your application as possible - before you ever use `ort`! ort::set_api(ort_tract::api()); }

Done!

Be sure to check each backend’s docs page to see which APIs are and are not implemented.

Available backends

ort currently has the following backends:

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