ec6755512f
Several of these badges were out of date, with some crates in wide production use marked as "experimental". Insted of trying to keep them up to date, just remove them, since they are [no longer displayed on crates.io]. [no longer displayed on crates.io]: https://doc.rust-lang.org/cargo/reference/manifest.html#the-badges-section
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 WasiNn implementation as follows:
let wasi_nn = WasiNn::new(&store, WasiNnCtx::new()?);
wasi_nn.add_to_linker(&mut linker)?;
Build
This crate should build as usual (i.e. cargo build) but note that using an existing installation of OpenVINO™, rather
than building from source, will drastically improve the build times. See the openvino crate for more information
Example
An end-to-end example demonstrating ML classification is included in examples:
tests/wasi-nn-rust-bindingscontains ergonomic bindings for writing Rust code against the wasi-nn APIstests/classification-examplecontains a standalone Rust project that uses the wasi-nn APIs and is compiled to thewasm32-wasitarget using thewasi-nn-rust-bindings
Run the example from the Wasmtime project directory:
ci/run-wasi-nn-example.sh