a61f068c64
* 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
30 lines
1.1 KiB
TOML
30 lines
1.1 KiB
TOML
[package]
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name = "wasmtime-wasi-nn"
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version = "0.21.0"
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authors = ["The Wasmtime Project Developers"]
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description = "Wasmtime implementation of the wasi-nn API"
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documentation = "https://docs.rs/wasmtime-wasi-nn"
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license = "Apache-2.0 WITH LLVM-exception"
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categories = ["wasm", "computer-vision"]
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keywords = ["webassembly", "wasm", "neural network"]
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repository = "https://github.com/bytecodealliance/wasmtime"
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readme = "README.md"
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edition = "2018"
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[dependencies]
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# These dependencies are necessary for the witx-generation macros to work:
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anyhow = "1.0"
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log = { version = "0.4", default-features = false }
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wasmtime = { path = "../wasmtime", version = "0.21.0", default-features = false }
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wasmtime-runtime = { path = "../runtime", version = "0.21.0" }
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wasmtime-wiggle = { path = "../wiggle/wasmtime", version = "0.21.0" }
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wasmtime-wasi = { path = "../wasi", version = "0.21.0" }
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wiggle = { path = "../wiggle", version = "0.21.0" }
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# These dependencies are necessary for the wasi-nn implementation:
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openvino = "0.1.5"
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thiserror = "1.0"
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[badges]
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maintenance = { status = "experimental" }
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