* Add an initial wasi-nn implementation for Wasmtime This change adds a crate, `wasmtime-wasi-nn`, that uses `wiggle` to expose the current state of the wasi-nn API and `openvino` to implement the exposed functions. It includes an end-to-end test demonstrating how to do classification using wasi-nn: - `crates/wasi-nn/tests/classification-example` contains Rust code that is compiled to the `wasm32-wasi` target and run with a Wasmtime embedding that exposes the wasi-nn calls - the example uses Rust bindings for wasi-nn contained in `crates/wasi-nn/tests/wasi-nn-rust-bindings`; this crate contains code generated by `witx-bindgen` and eventually should be its own standalone crate * Test wasi-nn as a CI step This change adds: - a GitHub action for installing OpenVINO - a script, `ci/run-wasi-nn-example.sh`, to run the classification example
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209 B
Markdown
3 lines
209 B
Markdown
This example project demonstrates using the `wasi-nn` API to perform ML inference. It consists of Rust code that is
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built using the `wasm32-wasi` target. See `ci/run-wasi-nn-example.sh` for how this is used.
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