From 881191ae11923d07ed920fa95dca8facb3d9c80d Mon Sep 17 00:00:00 2001 From: jianjunz Date: Wed, 12 Jun 2024 01:14:12 +0800 Subject: [PATCH] Enable unit test for wasi-nn WinML backend. (#8442) This test was disabled because GitHub Actions Windows Server image doesn't have desktop experience included. But it looks like we can have a standalone WinML binary downloaded from ONNX Runtime project. Wasi-nn WinML backend and ONNX Runtime backend now share the same test code as they accept the same input, and they are expected to produce the same result. This change also make wasi-nn WinML backend as a default feature. prtest:full --- .github/workflows/main.yml | 12 ++++ .../src/bin/nn_image_classification_onnx.rs | 5 +- crates/test-programs/src/nn.rs | 4 -- crates/wasi-nn/Cargo.toml | 2 +- crates/wasi-nn/src/testing.rs | 55 ++++++------------ crates/wasi-nn/tests/all.rs | 4 +- .../wasi-nn/tests/fixtures/000000062808.rgb | Bin 0 -> 602112 bytes crates/wasi-nn/tests/fixtures/kitten.rgb | Bin 602112 -> 0 bytes crates/wasi-nn/tests/fixtures/readme.md | 9 +++ 9 files changed, 45 insertions(+), 46 deletions(-) create mode 100644 crates/wasi-nn/tests/fixtures/000000062808.rgb delete mode 100644 crates/wasi-nn/tests/fixtures/kitten.rgb create mode 100644 crates/wasi-nn/tests/fixtures/readme.md diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml index 80f97930232c..b86ca3ccb73c 100644 --- a/.github/workflows/main.yml +++ b/.github/workflows/main.yml @@ -689,6 +689,9 @@ jobs: matrix: feature: ["openvino", "onnx"] os: ["ubuntu-latest", "windows-latest"] + include: + - os: windows-latest + feature: winml name: Test wasi-nn (${{ matrix.feature }}, ${{ matrix.os }}) runs-on: ${{ matrix.os }} needs: determine @@ -703,6 +706,15 @@ jobs: - uses: abrown/install-openvino-action@v8 if: runner.arch == 'X64' + # Install WinML for testing wasi-nn WinML backend. WinML is only available + # on Windows clients and Windows Server with desktop experience enabled. + # GitHub Actions Window Server image doesn't have desktop experience + # enabled, so we download the standalone library from ONNX Runtime project. + - uses: nuget/setup-nuget@v2 + if: (matrix.os == 'windows-latest') && (matrix.feature == 'winml') + - run: nuget install Microsoft.AI.MachineLearning + if: (matrix.os == 'windows-latest') && (matrix.feature == 'winml') + # Install Rust targets. - run: rustup target add wasm32-wasi diff --git a/crates/test-programs/src/bin/nn_image_classification_onnx.rs b/crates/test-programs/src/bin/nn_image_classification_onnx.rs index 30d20330f39f..df8f961c7516 100644 --- a/crates/test-programs/src/bin/nn_image_classification_onnx.rs +++ b/crates/test-programs/src/bin/nn_image_classification_onnx.rs @@ -8,10 +8,13 @@ pub fn main() -> Result<()> { .expect("the model file to be mapped to the fixture directory"); let graph = GraphBuilder::new(GraphEncoding::Onnx, ExecutionTarget::CPU).build_from_bytes([&model])?; - let tensor = fs::read("fixture/tensor.bgr") + let tensor = fs::read("fixture/000000062808.rgb") .expect("the tensor file to be mapped to the fixture directory"); let results = classify(graph, tensor)?; let top_five = &sort_results(&results)[..5]; + // 963 is meat loaf, meatloaf. + // https://github.com/onnx/models/blob/bec48b6a70e5e9042c0badbaafefe4454e072d08/validated/vision/classification/synset.txt#L963 + assert_eq!(top_five[0].class_id(), 963); println!("found results, sorted top 5: {:?}", top_five); Ok(()) } diff --git a/crates/test-programs/src/nn.rs b/crates/test-programs/src/nn.rs index cf25e4b8979e..f3b54b460901 100644 --- a/crates/test-programs/src/nn.rs +++ b/crates/test-programs/src/nn.rs @@ -42,12 +42,8 @@ pub fn classify(graph: Graph, tensor: Vec) -> Result> { /// placing the match probability for each class at the index for that class /// (the probability of class `N` is stored at `probabilities[N]`). pub fn sort_results(probabilities: &[f32]) -> Vec { - // It is unclear why the MobileNet output indices are "off by one" but the - // `.skip(1)` below seems necessary to get results that make sense (e.g. 763 - // = "revolver" vs 762 = "restaurant"). let mut results: Vec = probabilities .iter() - .skip(1) .enumerate() .map(|(c, p)| InferenceResult(c, *p)) .collect(); diff --git a/crates/wasi-nn/Cargo.toml b/crates/wasi-nn/Cargo.toml index 1b8dc95d99d6..43dba88519c8 100644 --- a/crates/wasi-nn/Cargo.toml +++ b/crates/wasi-nn/Cargo.toml @@ -50,7 +50,7 @@ wasi-common = { workspace = true, features = ["sync"] } wasmtime = { workspace = true, features = ["cranelift"] } [features] -default = ["openvino"] +default = ["openvino", "winml"] # openvino is available on all platforms, it requires openvino installed. openvino = ["dep:openvino"] # onnx is available on all platforms. diff --git a/crates/wasi-nn/src/testing.rs b/crates/wasi-nn/src/testing.rs index 51b543e15a95..da0360898da5 100644 --- a/crates/wasi-nn/src/testing.rs +++ b/crates/wasi-nn/src/testing.rs @@ -8,7 +8,12 @@ #[allow(unused_imports)] use anyhow::{anyhow, Context, Result}; -use std::{env, fs, path::Path, path::PathBuf, process::Command, sync::Mutex}; +use std::{ + env, fs, + path::{Path, PathBuf}, + process::Command, + sync::Mutex, +}; #[cfg(all(feature = "winml", target_arch = "x86_64", target_os = "windows"))] use windows::AI::MachineLearning::{LearningModelDevice, LearningModelDeviceKind}; @@ -50,13 +55,12 @@ pub fn check() -> Result<()> { #[cfg(feature = "openvino")] check_openvino_artifacts_are_available()?; - #[cfg(feature = "onnx")] + #[cfg(any(feature = "onnx", all(feature = "winml", target_os = "windows")))] check_onnx_artifacts_are_available()?; - #[cfg(all(feature = "winml", target_arch = "x86_64", target_os = "windows"))] + #[cfg(all(feature = "winml", target_os = "windows"))] { check_winml_is_available()?; - check_winml_artifacts_are_available()?; } Ok(()) } @@ -108,7 +112,7 @@ fn check_openvino_artifacts_are_available() -> Result<()> { Ok(()) } -#[cfg(all(feature = "winml", target_arch = "x86_64", target_os = "windows"))] +#[cfg(all(feature = "winml", target_os = "windows"))] fn check_winml_is_available() -> Result<()> { match std::panic::catch_unwind(|| { println!( @@ -121,27 +125,19 @@ fn check_winml_is_available() -> Result<()> { } } -#[cfg(feature = "onnx")] +#[cfg(any(feature = "onnx", all(feature = "winml", target_os = "windows")))] fn check_onnx_artifacts_are_available() -> Result<()> { let _exclusively_retrieve_artifacts = ARTIFACTS.lock().unwrap(); - const OPENVINO_BASE_URL: &str = - "https://github.com/intel/openvino-rs/raw/main/crates/openvino/tests/fixtures/mobilenet"; const ONNX_BASE_URL: &str = - "https://github.com/onnx/models/raw/bec48b6a70e5e9042c0badbaafefe4454e072d08/validated/vision/classification/mobilenet/model/mobilenetv2-7.onnx?download="; + "https://github.com/onnx/models/raw/bec48b6a70e5e9042c0badbaafefe4454e072d08/validated/vision/classification/mobilenet/model/mobilenetv2-10.onnx?download="; let artifacts_dir = artifacts_dir(); if !artifacts_dir.is_dir() { fs::create_dir(&artifacts_dir)?; } - for (from, to) in [ - ( - [OPENVINO_BASE_URL, "tensor-1x224x224x3-f32.bgr"].join("/"), - "tensor.bgr", - ), - (ONNX_BASE_URL.to_string(), "model.onnx"), - ] { + for (from, to) in [(ONNX_BASE_URL.to_string(), "model.onnx")] { let local_path = artifacts_dir.join(to); if !local_path.is_file() { download(&from, &local_path).with_context(|| "unable to retrieve test artifact")?; @@ -149,31 +145,14 @@ fn check_onnx_artifacts_are_available() -> Result<()> { println!("> using cached artifact: {}", local_path.display()) } } - Ok(()) -} -#[cfg(all(feature = "winml", target_arch = "x86_64", target_os = "windows"))] -fn check_winml_artifacts_are_available() -> Result<()> { - let _exclusively_retrieve_artifacts = ARTIFACTS.lock().unwrap(); - let artifacts_dir = artifacts_dir(); - if !artifacts_dir.is_dir() { - fs::create_dir(&artifacts_dir)?; - } - const MODEL_URL: &str="https://github.com/onnx/models/raw/5faef4c33eba0395177850e1e31c4a6a9e634c82/vision/classification/mobilenet/model/mobilenetv2-12.onnx"; - for (from, to) in [(MODEL_URL, "model.onnx")] { - let local_path = artifacts_dir.join(to); - if !local_path.is_file() { - download(&from, &local_path).with_context(|| "unable to retrieve test artifact")?; - } else { - println!("> using cached artifact: {}", local_path.display()) - } - } - // kitten.rgb is converted from https://github.com/microsoft/Windows-Machine-Learning/blob/master/SharedContent/media/kitten_224.png?raw=true. - let tensor_path = env::current_dir()? + // Copy image from source tree to artifact directory. + let image_path = env::current_dir()? .join("tests") .join("fixtures") - .join("kitten.rgb"); - fs::copy(tensor_path, artifacts_dir.join("kitten.rgb"))?; + .join("000000062808.rgb"); + let dest_path = artifacts_dir.join("000000062808.rgb"); + fs::copy(&image_path, &dest_path)?; Ok(()) } diff --git a/crates/wasi-nn/tests/all.rs b/crates/wasi-nn/tests/all.rs index 06be156079d6..2c41f17db2e3 100644 --- a/crates/wasi-nn/tests/all.rs +++ b/crates/wasi-nn/tests/all.rs @@ -97,10 +97,10 @@ fn nn_image_classification_named() { #[cfg_attr(not(all(feature = "winml", target_os = "windows")), ignore)] #[test] fn nn_image_classification_winml() { - #[cfg(feature = "winml")] + #[cfg(all(feature = "winml", target_os = "windows"))] { let backend = Backend::from(backend::winml::WinMLBackend::default()); - run(NN_IMAGE_CLASSIFICATION_WINML, backend, true).unwrap() + run(NN_IMAGE_CLASSIFICATION_ONNX, backend, true).unwrap() } } diff --git a/crates/wasi-nn/tests/fixtures/000000062808.rgb b/crates/wasi-nn/tests/fixtures/000000062808.rgb new file mode 100644 index 0000000000000000000000000000000000000000..ac79a904fb92e8baab32e466500fbe9d3bac4b55 GIT binary patch literal 602112 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