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onnxruntime/js/README.md
Yulong Wang d4d0bea1fb
[js] update docs for new code formatter (#21743) 
### Description

Update README.md for code formatter change (#21728)
2024-08-15 20:17:08 -07:00

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# ONNX Runtime JavaScript API
This directory contains multiple NPM projects:
- [onnxruntime-common](#onnxruntime-common)
- [onnxruntime-node](#onnxruntime-node)
- [onnxruntime-web](#onnxruntime-web)
- [onnxruntime-react-native](#onnxruntime-react-native)
## Development
This folder contains a `.vscode` folder for Visual Studio Code workspace configs. Using VSCode to open this folder
will allow code-formatting and linting features on typescript and C/C++ source code inside this folder. Following files
are used for code-formatting and linting features for developers:
- .vscode/\*\*
- package.json
- packages-lock.json
- .eslintrc.js
- .prettierignore
- .prettierrc
Please follow the steps described below to setup development environment.
### Prerequisites
- Node.js (16.0+): https://nodejs.org/ - (Optional) Use nvm ([Windows](https://github.com/coreybutler/nvm-windows) / [Mac/Linux](https://github.com/creationix/nvm)) to install Node.js
- Python (2.7 or 3.6+): https://www.python.org/downloads/
- python should be added to the PATH environment variable
- Visual Studio Code: https://code.visualstudio.com/
- **required** extension: [ESLint](https://marketplace.visualstudio.com/items?itemName=dbaeumer.vscode-eslint)
- **required** extension: [Prettier](https://marketplace.visualstudio.com/items?itemName=SimonSiefke.prettier-vscode)
- **required** extension: [JavaScript Debugger](https://marketplace.visualstudio.com/items?itemName=ms-vscode.js-debug-nightly)
- Chrome or Edge Browser
### Setup TypeScript development environment
In `<ORT_ROOT>/js`, run:
```
npm ci
```
This will install Prettier and ESLint for code-formatting and linting features. This is a one-time setup unless a `git clean` is performed or folder `<ORT_ROOT>/js/node_modules` is removed manually.
### Using VSCode:
Use VSCode to open folder `<ORT_ROOT>/js`.
Make sure to open the correct folder to allow VSCode to load workspace configuration. Otherwise typescript and code formatter may not work as expected.
To populate typescript type declarations, in each project folder, run `npm ci`.
### Run code formatter and linter manually
In `<ORT_ROOT>/js`, use `npm run lint` to run ESLint , and use `npm run format` to run code formatter.
## onnxruntime-common
> language: typescript
> dependency:
> folder: <ORT_ROOT>/js/common
This project is designed to include all "common" code, which are pure javascript that can run in both Node.js and browsers.
### Requirements
Node.js v12+ (recommended v14+)
### Build
Use following command in folder `<ORT_ROOT>/js/common` to install NPM packages, build typescript files and generate bundles:
```
npm ci
```
### Distribution
It should be able to consumed by both from projects that uses NPM packages (through a Node.js folder structure of `node_modules` folder that generated by `npm install onnxruntime-common`) and from a CDN service that serves a `.min.js` bundle file.
### Features
Following features are included in `onnxruntime-common`:
- `InferenceSession` interfaces
- `Tensor`/`OnnxValue` interfaces, implementation and a set of utility functions
- `Backend` interfaces and a set of functions for backend registration
### Generate API reference document
Use following command in folder `<ORT_ROOT>/js/common` to generate API reference document:
```
npx typedoc
```
Document will be generated in folder `<ORT_ROOT>/js/common/docs`.
## onnxruntime-node
> language: typescript/C++
> dependency: onnxruntime-common, ONNXRuntime.dll
> folder: <ORT_ROOT>/js/node
This project is designed to be used as a NPM package to enable Node.js users to consume ONNX Runtime via Node.js binding, in Node.js or any Node.js compatible environment.
### Requirements
Node.js v12+ (recommended v14+)
### Build
#### Build ONNX Runtime and Node.js binding
Follow [instructions](https://www.onnxruntime.ai/docs/how-to/build.html#apis-and-language-bindings) for building ONNX Runtime Node.js binding
#### Build Node.js binding only
Use following command in folder `<ORT_ROOT>/js/node` to install NPM packages and build typescript files:
```
npm ci
```
This will download the latest pre-built ONNX Runtime binaries for the current platform.
### Distribution
It should be able to consumed by from projects that uses NPM packages (through a Node.js folder structure of `node_modules` folder that generated by `npm install onnxruntime-node`).
## onnxruntime-web
> language: typescript
> dependency: onnxruntime-common, ONNXRuntime WebAssembly
> folder: <ORT_ROOT>/js/web
This project is a library for running ONNX models on browsers. It is the successor of [ONNX.js](https://github.com/Microsoft/onnxjs).
### Build
[onnxruntime-web build instructions](https://onnxruntime.ai/docs/build/web.html)
### Test
We use command `npm test` (test runner) and `npm run test:e2e` (E2E test) for tests in ONNXRuntime Web.
#### test runner
In folder `<ORT_ROOT>/js/web`,
- Run `npm test -- --help` for a full CLI instruction.
- Run `npm test -- <your-args> --debug` to run one or more test cases.
There are multiple levels of tests for ONNXRuntime Web:
- unit test: tests for individual components written in TypeScript. Launch unit test by:
```
npm test -- unittest
```
- model test: run a single model. The model folder should contains one .onnx model file and one or more folders for test cases, each folder contains several input*\*.pb and output*\*.pb as test data. Launch model test by:
```
npm test -- model <model_folder>
```
- op test: test a single operator. An op test is described in a `.jsonc` file which specify the operator type, its attributes and one or more test case(s), each includes a list of expected input tensor(s) and output tensor(s). The `.jsonc` file is located at `<ORT_ROOT>/js/web/test/data/ops`. Launch op test by:
```
npm test -- op <file_name>
```
- suite test: suite test includes unit test, a list of model tests and op tests. Launch suite test by:
```
npm test
```
#### E2E test
E2E test is for testing end-to-end package consuming. In this test, NPM packages for `onnxruntime-common` and `onnxruntime-web` are generated and a clean folder is used for installing packages. Then a simple mocha test is performed to make sure package can be consumed correctly.
To launch E2E test:
```
npm run test:e2e
```
### Debugging
#### Debugging TypeScript on Desktop/Chrome
To debug the code from test-runner on Chrome:
- Launch `npm test -- <your_args> --debug`. It opens an instance of Chrome browser.
- In the open Chrome browser, click the `DEBUG` button on the top-right of the page.
- In VSCode, click [side bar]->Run and Debug->select [Attach to Chrome]->click [Start Debugging] to attach.
- put breakpoints in source code, and Refresh the page to reload.
#### Debugging TypeScript on iOS/Safari
To debug on an Apple iOS device, please refer to the following steps:
- install [
RemoteDebug iOS WebKit Adapter](https://github.com/RemoteDebug/remotedebug-ios-webkit-adapter) by following its instructions.
- launch the adapter in commandline: `remotedebug_ios_webkit_adapter --port=9000`.
- in VSCode, select debug configuration `Remote Browser via Webkit Adaptor`.
- follow the steps above to debug.
#### Debugging TypeScript on Android/Chrome
To debug on an Android device, please refer to the following steps:
- Install [Android SDK Platform Tools](https://developer.android.com/studio/releases/platform-tools) and make sure `adb` is ready to use.
- Follow instructions in [Remote Debugging on Android](https://developer.chrome.com/devtools/docs/remote-debugging-legacy) to launch `adb`. Make sure to use port 9000 so that the existing debug configuration works.
- in VSCode, select debug configuration `Remote Browser via Webkit Adaptor`.
- follow the steps above to debug.
#### Debugging C/C++ for ONNX Runtime WebAssembly
To debug C/C++ code for ONNX Runtime WebAssembly, you need to build ONNX Runtime with debug info (see [Build](#Build-2)).
Currently debugging C/C++ code in WebAssembly is not supported in VSCode yet. Please follow [this instruction](https://developer.chrome.com/blog/wasm-debugging-2020/) to debug in browser devtool using extension [C/C++ DevTools Support (DWARF)](https://chrome.google.com/webstore/detail/cc%20%20-devtools-support-dwa/pdcpmagijalfljmkmjngeonclgbbannb).
### Generating Document
This section describes how to generate the latest document for ONNX Runtime Web.
The document contains information about operators WebGL backend supports. It should align with the operator resolve rules in code and spec definition from ONNX.
In folder `<ORT_ROOT>/js/web`, use command `npm run build:doc` to generate the latest documents.
### Distribution
It should be able to consumed by both from projects that uses NPM packages (through a Node.js folder structure of `node_modules` folder that generated by `npm install onnxruntime-web`) and from a CDN service that serves a `ort.min.js` file and one or multiple `.wasm` file(s).
#### Reduced WebAssembly artifacts
By default, the WebAssembly artifacts from onnxruntime-web package allows use of both standard ONNX models (.onnx) and ORT format models (.ort). There is an option to use a minimal build of ONNX Runtime to reduce the binary size, which only supports ORT format models. See also [ORT format model](https://onnxruntime.ai/docs/reference/ort-format-models.html) for more information.
#### Reduced JavaScript bundle file fize
By default, the main bundle file `ort.all.min.js` of ONNX Runtime Web contains all features. However, its size is over 500kB and for some scenarios we want a smaller sized bundle file, if we don't use all the features. The following table lists all available bundles with their support status of features.
| bundle file name | file size | file size (gzipped) | WebGL | WASM | WebGPU |
| ----------------- | --------- | ------------------- | ----- | ---- | ------ |
| ort.all.min.js | 682 KB | 166 KB | O | O | O |
| ort.min.js | 434 KB | 102 KB | O | O | X |
| ort.webgl.min.js | 411 KB | 93.6 KB | O | X | X |
| ort.webgpu.min.js | 293 KB | 80.1 KB | X | O | O |
| ort.wasm.min.js | 46 KB | 14.8 KB | X | O | X |
#### Build ONNX Runtime as a WebAssembly static library
When `--build_wasm_static_lib` is given instead of `--build_wasm`, it builds a WebAssembly static library of ONNX Runtime and creates a `libonnxruntime_webassembly.a` file at a build output directory. Developers who have their own C/C++ project and build it as WebAssembly with ONNX Runtime, this build option would be useful. This static library is not published by a pipeline, so a manual build is required if necessary.
## onnxruntime-react-native
> language: typescript, java, objective-c
> dependency: onnxruntime-common
> folder: <ORT_ROOT>/js/react_native
This project provides an ONNX Runtime React Native JavaScript library to run ONNX models on React Native Android and iOS app.
### Requirements
- Yarn
- Android SDK and NDK, which can be installed via Android Studio or sdkmanager command line tool
- A Mac computer with the latest macOS
- [Xcode](https://developer.apple.com/xcode/)
- [CMake](https://cmake.org/download/)
- [Python 3](https://www.python.org/downloads/mac-osx/)
### Models with ORT format
Prior to ORT v1.13, the ONNX Runtime React Native package utilized the ONNX Runtime Mobile package, which required an ONNX model to be converted to ORT format.
Follow these [instructions](https://onnxruntime.ai/docs/reference/ort-format-models.html#convert-onnx-models-to-ort-format) to convert ONNX model to ORT format.
Note that the ONNX Runtime Mobile package includes a reduced set of operators and types, so not all models are supported. See [here](https://onnxruntime.ai/docs/reference/operators/MobileOps.html) for the list of supported operators and types.
From ORT v1.13 onwards, the 'full' ONNX Runtime package is used. It supports both ONNX and ORT format models, and all operators and types.
From ORT v1.19 onwards, the ONNX Runtime Mobile packages are no longer published.
### Build
1. Install NPM packages for ONNX Runtime common JavaScript library and required React Native JavaScript libraries
- in `<ORT_ROOT>/js/`, run `npm ci`.
- in `<ORT_ROOT>/js/common/`, run `npm ci`.
- in `<ORT_ROOT>/js/react_native/`, run `yarn`.
2. Acquire or build the Android ONNX Runtime package
1. To use a published Android ONNX Runtime package from Maven, go to step 5.
2. Set up an Android build environment using these [instructions](https://onnxruntime.ai/docs/build/android.html). Note that the dependencies are quite convoluted, so using the specified JDK and Gradle versions is important.
3. In `<ORT_ROOT>`, run the below python script to build the ONNX Runtime Android archive file. On a Windows machine, this requires an admin account to build.
You can build a 'full' package that supports all operators and types, or a reduced size package that supports a limited set of operators and types based on your model/s to miminize the binary size.
See [here](https://onnxruntime.ai/docs/build/custom.html) for information about how the reduced build works, including creating the configuration file using your model/s.
The instructions here show how to build a 'full' package.
```sh
python tools/ci_build/github/android/build_aar_package.py tools/ci_build/github/android/default_full_aar_build_settings.json --config Release --android_sdk_path <ANDROID_SDK_PATH> --android_ndk_path <ANDROID_NDK_PATH> --build_dir <BUILD_DIRECTORY>
```
4. Move the generated ONNX Runtime Android archive file to `<ORT_ROOT>/js/react_native/android/libs/`.
Copy `<BUILD_DIRECTORY>/aar_out/Release/com/microsoft/onnxruntime/onnxruntime-android/<version>/onnxruntime-android-<version>.aar` into `<ORT_ROOT>/js/react_native/android/libs` directory.
5. To verify, open the Android Emulator and run this command from `<ORT_ROOT>/js/react_native/android`
```sh
./gradlew connectedDebugAndroidTest
```
3. Build iOS ONNX Runtime package
1. To use the published C/C++ ONNX Runtime package from CocoaPods, skip all steps below.
2. Set up iOS build environment using these [instructions](https://onnxruntime.ai/docs/build/ios.html).
3. Build a fat ONNX Runtime Framework for iOS and iOS simulator from `<ORT_ROOT>` using this command:
```sh
python tools/ci_build/github/apple/build_apple_framework.py tools/ci_build/github/apple/default_full_apple_framework_build_settings.json --config Release
```
The build creates `Headers`, `LICENSE`, and `onnxruntime.xcframework` in `build/iOS_framework/framework_out` directory. From `framework_out` directory, create an archive file named `onnxruntime-c.zip` and copy to `<ORT_ROOT>/js/react_native/local_pods` directory.
```sh
zip -r onnxruntime-c.zip .
```
4. To verify, open the iOS Simulator and run the below command from `<ORT_ROOT>/js/react_native/ios`. Change the destination argument as needed to specify a running iOS Simulator.
```sh
pod install
xcodebuild test -workspace OnnxruntimeModule.xcworkspace -scheme OnnxruntimeModuleTest -destination 'platform=iOS Simulator,OS=latest,name=iPhone 13'
```
4. Test Android and iOS apps. In Windows, open Android Emulator first.
`debug.keystore` must be generated ahead for Android example.
```sh
keytool -genkey -v -keystore <ORT_ROOT>/js/react_native/e2e/android/debug.keystore -alias androiddebugkey -storepass android -keypass android -keyalg RSA -keysize 2048 -validity 999999 -dname "CN=Android Debug,O=Android,C=US"
```
From `<ORT_ROOT>/js/react_native,
```sh
yarn bootstrap
```
When testing with a custom built ONNX Runtime Android package, copy `<BUILD_DIRECTORY>/aar_out/MinSizeRel/com/microsoft/onnxruntime/onnxruntime-android/<version>/onnxruntime-android-<version>.aar` into the `<ORT_ROOT>/js/react_native/e2e/android/app/libs` directory.
When testing with a custom built ONNX Runtime iOS package, copy `onnxruntime-c.zip` into the `<ORT_ROOT>/js/react_native/local_pods` directory.
- Run E2E Testing with Detox framework
When testing with integrated [Detox](https://wix.github.io/Detox/docs/next/introduction/getting-started) framework for Android and iOS e2e apps:
- Detox prerequisites:
Install detox command line tools:
```
yarn global add detox-cli
```
Install applesimutils which is required by Detox to work with iOS simulators. (Requires a MacOS device)
```
brew tap wix/brew
brew install applesimutils
```
Main Detox project files:
- `.detoxrc.js` -Detox config file;
- `e2e/jest.config.js` -Jest configuration;
- `e2e/OnnxruntimeModuleExample.test.js` - initial react native onnxruntimemodule e2e detox test.
- Build the detox e2e testing app.
From `<ORT_ROOT>/js/react_native/e2e`, run the command to build the e2e testing app. Before that ensure you have android emulator/ios simulator started locally.
iOS (Debug):
```
detox build --configuration ios.sim.debug
```
Android (Debug):
```
detox build --configuration android.emu.debug
```
- Note: If names of local testing android/ios devices do not match the default setting in `.detoxrc.js` file,
modify the device name in config files accordingly to match local device name otherwise would cause a build failure.
- Run the detox e2e tests.
In a debug configuration, you need to have React Native packager running in parallel before you start Detox tests:
```
npm start
> react-native start
```
From `<ORT_ROOT>/js/react_native/e2e`, run Detox tests using the following command:
iOS (Debug):
```
detox test --configuration ios.sim.debug
```
Android (Debug):
```
detox test --configuration android.emu.debug
```
To record logs for testing results, add `--record-logs`. Output logs and test results will be produced in the `e2e/artifacts/` folder.
See: [Detox/logger#artifacts](https://wix.github.io/Detox/docs/api/logger#artifacts)
**_`yarn bootstrap` changes `packages.json` and `yarn.lock` files. Once testing is done, restore changes to avoid unwanted commit._**
5. Run Android and iOS apps.
```sh
yarn e2e android
yarn e2e ios
```
### NPM Packaging
1. Update a version using `npm version <version>` from `<ORT_ROOT>/js/react_native` folder. If it's for a dev, use `npm version <version>-dev.<subversion>`
2. Run `npm pack` and verify NPM package contents
3. Run `npm publish <tgz> --dry-run` to see how it's going to be published
4. Run `npm publish <tgz>` to publish to npmjs. If it's for a dev, add flag `--tag dev`.
### Distribution
It should be able to consumed by React Native projects that uses Yarn packages through `yarn add onnxruntime-react-native`.
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