Andrew Brown
1a6b3ec15f
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2 years ago | |
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examples | 2 years ago | |
spec@8adc5b9b3b | 4 years ago | |
src | 2 years ago | |
Cargo.toml | 2 years ago | |
LICENSE | 4 years ago | |
README.md | 4 years ago | |
build.rs | 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 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-bindings
contains ergonomic bindings for writing Rust code against the wasi-nn APIstests/classification-example
contains a standalone Rust project that uses the wasi-nn APIs and is compiled to thewasm32-wasi
target using thewasi-nn-rust-bindings
Run the example from the Wasmtime project directory:
ci/run-wasi-nn-example.sh