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Andrew Brown ac7d070788
wasi-nn: remove `BackendKind`, add wrapper `struct`s (#6893)
1 year ago
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examples wasi-nn: add named models (#6854) 1 year ago
spec@c1f8b87e92 wasi-nn: update upstream specification (#6853) 1 year ago
src wasi-nn: remove `BackendKind`, add wrapper `struct`s (#6893) 1 year ago
Cargo.toml wasi-nn: refactor to allow `preview2` access (#6821) 1 year ago
LICENSE Add an initial wasi-nn implementation for Wasmtime (#2208) 4 years ago
README.md wasi-nn: refactor to allow `preview2` access (#6821) 1 year ago
build.rs wasi-nn: turn it on by default (#2859) 4 years ago

README.md

wasmtime-wasi-nn

This crate enables support for the wasi-nn API in Wasmtime. Currently it contains an implementation of wasi-nn using OpenVINO™ but in the future it could support multiple machine learning backends. Since the wasi-nn API is expected to be an optional feature of WASI, this crate is currently separate from the wasi-common crate. This crate is experimental and its API, functionality, and location could quickly change.

Use

Use the Wasmtime APIs to instantiate a Wasm module and link in the wasi-nn implementation as follows:

let wasi_nn = WasiNnCtx::new()?;
wasmtime_wasi_nn::witx::add_to_linker(...);

Build

$ cargo build

To use the WIT-based ABI, compile with --features component-model and use wasmtime_wasi_nn::wit::add_to_linker.

Example

An end-to-end example demonstrating ML classification is included in examples: examples/classification-example contains a standalone Rust project that uses the wasi-nn APIs and is compiled to the wasm32-wasi target using the high-level wasi-nn bindings.

Run the example from the Wasmtime project directory:

$ ci/run-wasi-nn-example.sh