onnxruntime/js
Yulong Wang 45ff957973
1.17.3 cherry-picks for ORT Web changes (#19926)
### Description
This PR is a preview of cherry-picks for ort-web to `rel-1.17.3` based
on `rel-1.17.2`.

<details>

<summary>Changes of ort-web to cherry-pick</summary>

The following commits are from main branch.

`o` stands for pick, and `x` stands for skip.
```
o   2e0a388c36 [js/webgpu] Add HardSigmoid support (#19215)
o   d226e40856 [js/webgpu] set query type in onRunStart (#19202)
o   61610ff986 [js/webgpu] Add FusedConv clip test case (#18900)
o   a33b5bd1fa [JS/WebGPU] Added Uniforms to SkipLayerNorm. (#18788)
o   591f90c0b9 [js/webgpu] Fix issue of timestamp query (#19258)
o   7252c6e747 [WebNN EP] Support WebNN async API with Asyncify (#19145)
o   5b06505073 [js/webgpu] Fix Tanh explosion (#19201)
o   656ca66186 [js/webgpu] Support uniforms for conv, conv transpose, conv grouped (#18753)
o   a3f0e2422b [js/webgpu] Support f16 uniform (#19098)
o   9e69606360 fix f16 for attention, enable slice and flatten for more types (#19262)
o   624b4e2063 [js/webgpu] Remove enableShapesUniforms (#19279)
o   90883a366a [js/webgpu] Add hardSigmoid activation for fusedConv (#19233)
o   85cef0af8c [js/webgpu] Support capture and replay for jsep (#18989)
o   d73131cf0f [js/webgpu] Use DataType as uniform cpu type (#19281)
o   dd1f6ccc45 [js/webgpu] resolve codescan alert (#19343)
o   3a2ab1963a [js/webgpu] Refactor createTensorShapeVariables (#18883)
o   efc17e79de [js/webgpu] Fix the undefined push error (#19366)
 x  50806a7dd5 [js/web] support external data in npm test (#19377)
o   ccbe264a39 [js/webgpu] Add LeakyRelu activation for fusedConv (#19369)
o   5ff27ef02a [js/webgpu] support customop FastGelu (#19392)
 x  03be65e064 [js/web] fix types exports in package.json (#19458)
o   06269a3952 [js/webgpu] allow uint8 tensors for webgpu (#19545)
o   dfeda9019c [JS/WebGPU] Add MatMulNBits (#19446)
o   1b48054e1b [js/webgpu] Create Split indices helpers by rank, not by shape (#19554)
o   3fe2c137ee [js] small fix to workaround formatter (#19400)
 x  70567a4b3a [js/web] use ApiTensor insteadof onnxjs Tensor in TensorResultValidator (#19358)
o   6e04e36e3f [js/common] upgrade tsc in common from 4.9.5 to 5.2.2 (#19317)
o   58f4921686 [js] changes to allow Float16Array if any polyfill is available (#19305)
o   57d6819212 [js/web] Fix fused-conv is not included in npm test (#19581)
o   ebd220b073 Misspelling in README.md (#19433)
o   38c3432393 Bump ip from 1.1.8 to 1.1.9 in /js/react_native (#19582)
o   fe82fccf1a [js/webgpu] Fix Conv2DTransposeMatMul f16 compilation failure (#19596)
o   76a2a487a1 Bump ip from 1.1.8 to 1.1.9 in /js/react_native/e2e (#19583)
o   29b1106033 [node] Switch to setImmediate to avoid starving the Node.js event loop (#19610)
o   ae3d73c981 [JS/WebGPU] Fix Split and Where to handle corner cases. (#19613)
o   aec2389ad0 [js/webgpu] allows a ProgramInfo's RunData to use zero sized output (#19614)
o   bb43a0f133 [js/webgpu] minor fixes to make tinyllama work (#19564)
o   0edb035808 [js/web] fix suite test list for zero sized tensor (#19638)
o   3cb81cdde2 [js/common] move 'env.wasm.trace' to 'env.trace' (#19617)
o   e30618d055 [js/webgpu] use Headless for webgpu test by default (#19702)
o   f06164ef8b [js/web] transfer input buffer back to caller thread (#19677)
 x  a788514027 [js/web] dump debug logs for karma for diagnose purpose (#19785)
o   24b72d2613 [JS/WebGPU] Preserve zero size input tensor dims. (#19737)
o   4538d31a8b [js/webgpu] expose a few properties in WebGPU API (#19857)
o   53de2d8cb0 [js/webgpu] Enable GroupedConvVectorize path (#19791)
o   ed250b88c3 [JS/WebGPU] Optimize MatMulNBits (#19852)
 x  e771a763c3 [js/test] align web test runner flags with ort.env (#19790)
o   79e50aeef3 [js/web] rewrite backend resolve to allow multiple EPs (#19735)
o   acb0df2280 Fix #19931 broken Get Started link of "ONNX Runtime JavaScript API" page (#19932)
o   b29849a287 [js/common] fix typedoc warnings (#19933)
o   afdab62f53 Bump follow-redirects from 1.15.4 to 1.15.6 in /js/web (#19949)
o   28ad6c3955 Bump follow-redirects from 1.15.4 to 1.15.6 in /js/node (#19951)
o   7e0d424934 accumulate in fp32 for Reduce* (#19868)
o   4c6a6a37f7 [js/webgpu] Fix NAN caused by un-initialized buffer in instance-norm (#19387)
o   01c7aaf6aa [js/webgpu] allow setting env.webgpu.adapter (#19940)
o   c45cff60cf [js/webgpu] fix maxpool / fp16 (#19981)
```

</details>

<details>
<summary>Cherry-pick commandlines</summary>

```sh
git cherry-pick 2e0a388c36
git cherry-pick d226e40856
git cherry-pick 61610ff986
git cherry-pick a33b5bd1fa
git cherry-pick 591f90c0b9
git cherry-pick 7252c6e747
git cherry-pick 5b06505073
git cherry-pick 656ca66186
git cherry-pick a3f0e2422b
git cherry-pick 9e69606360
git cherry-pick 624b4e2063
git cherry-pick 90883a366a
git cherry-pick 85cef0af8c  #<<<<< Note: conflicts
git cherry-pick d73131cf0f
git cherry-pick dd1f6ccc45
git cherry-pick 3a2ab1963a
git cherry-pick efc17e79de
git cherry-pick ccbe264a39
git cherry-pick 5ff27ef02a
git cherry-pick 06269a3952
git cherry-pick dfeda9019c
git cherry-pick 1b48054e1b
git cherry-pick 3fe2c137ee
git cherry-pick 6e04e36e3f
git cherry-pick 58f4921686
git cherry-pick 57d6819212
git cherry-pick ebd220b073
git cherry-pick 38c3432393
git cherry-pick fe82fccf1a
git cherry-pick 76a2a487a1
git cherry-pick 29b1106033
git cherry-pick ae3d73c981
git cherry-pick aec2389ad0
git cherry-pick bb43a0f133
git cherry-pick 0edb035808
git cherry-pick 3cb81cdde2
git cherry-pick e30618d055
git cherry-pick f06164ef8b
git cherry-pick 24b72d2613
git cherry-pick 4538d31a8b
git cherry-pick 53de2d8cb0
git cherry-pick ed250b88c3
git cherry-pick 79e50aeef3
git cherry-pick acb0df2280
git cherry-pick b29849a287
git cherry-pick afdab62f53
git cherry-pick 28ad6c3955
git cherry-pick 7e0d424934
git cherry-pick 4c6a6a37f7
git cherry-pick 01c7aaf6aa
git cherry-pick c45cff60cf
```
</details>

<details>
<summary>Cherry-pick conflicts</summary>

- 85cef0af8c #18989
this change is for enabling graph capture feature for JSEP, and it is
done after ROCM EP enabled graph capture feature. However, the ROCM EP
graph capture feature is not cherry-picked in rel-1.17.2.
</details>

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Jiajia Qin <jiajia.qin@intel.com>
Co-authored-by: Xu Xing <xing.xu@intel.com>
Co-authored-by: satyajandhyala <satya.k.jandhyala@gmail.com>
Co-authored-by: Yang Gu <yang.gu@intel.com>
Co-authored-by: Wanming Lin <wanming.lin@intel.com>
Co-authored-by: Jiajie Hu <jiajie.hu@intel.com>
Co-authored-by: Guenther Schmuelling <guschmue@microsoft.com>
Co-authored-by: Matttttt <18152455+martholomew@users.noreply.github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Segev Finer <segev208@gmail.com>
Co-authored-by: Belem Zhang <belem.zhang@intel.com>
2024-03-29 13:13:39 -07:00
..
.vscode [js/web] optimize tsc for web: split out "npm prepare" (#17955) 2023-10-16 09:04:54 -07:00
common 1.17.3 cherry-picks for ORT Web changes (#19926) 2024-03-29 13:13:39 -07:00
node 1.17.3 cherry-picks for ORT Web changes (#19926) 2024-03-29 13:13:39 -07:00
react_native 1.17.3 cherry-picks for ORT Web changes (#19926) 2024-03-29 13:13:39 -07:00
scripts Add ONNX 1.14 test data (#16943) 2023-08-01 11:19:27 -07:00
web 1.17.3 cherry-picks for ORT Web changes (#19926) 2024-03-29 13:13:39 -07:00
.clang-format
.eslintrc.js [js] optimize eslint config (#18460) 2023-11-20 12:00:56 -08:00
.gitignore [js/web] use esbuild to accelerate bundle build (#17745) 2023-10-06 13:37:37 -07:00
.prettierignore [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
.prettierrc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
build_jsep.bat update build_jsep.bat to add release build flags (#17471) 2023-10-10 17:38:35 -07:00
build_web.bat
build_web.sh
package-lock.json [js] update a few packages (#18499) 2023-11-17 22:40:51 -08:00
package.json [js] upgrade JS shared dev dependencies (#17831) 2023-10-10 17:44:39 -07:00
README.md Add MacOS build to ORT C Pod (#18550) 2023-11-28 10:11:53 -08:00
tsconfig.json [js/web] fix typescript type check (#18343) 2023-11-10 16:03:38 -08:00
tsconfig.tools.json [js/web] fix typescript type check (#18343) 2023-11-10 16:03:38 -08:00

ONNX Runtime JavaScript API

This directory contains multiple NPM projects:

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
  • .clang-format

Please follow the steps described below to setup development environment.

Prerequisites

Setup TypeScript development environment

In <ORT_ROOT>/js, run:

npm ci

This will install Clang-format 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 clang-format.

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 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.

Build

onnxruntime-web build instructions

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 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 and make sure adb is ready to use.
  • Follow instructions in Remote Debugging on Android 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).

Currently debugging C/C++ code in WebAssembly is not supported in VSCode yet. Please follow this instruction to debug in browser devtool using extension C/C++ DevTools Support (DWARF).

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 for more information.

Reduced JavaScript bundle file fize

By default, the main bundle file ort.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-core WASM-proxy WASM-threads ES5 backward compatibility
ort.es5.min.js 594.15KB 134.25KB O O O O O
ort.min.js 526.02KB 125.07KB O O O O X
ort.webgl.min.js 385.25KB 83.83KB O X X X X
ort.wasm.min.js 148.56 44KB X O O O X
ort.wasm-core.min.js 40.56KB 12.74KB X O X X 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
  • CMake
  • Python 3

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 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 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.

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 Mobile package from Maven, go to step 5.

    2. Set up an Android build environment using these instructions. 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 'mobile' package that supports a limited set of operators and types based on your model/s to miminize the binary size. See here for information about how the reduced build works, including creating the configuration file using your model/s.

    Full build:

    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>
    

    Reduced size build with configuration file generated from your model/s. Note that either Release or MinSizeRel could be used as the config, depending on your priorities:

    python tools/ci_build/github/android/build_aar_package.py tools/ci_build/github/android/default_mobile_aar_build_settings.json --config MinSizeRel --android_sdk_path <ANDROID_SDK_PATH> --android_ndk_path <ANDROID_NDK_PATH> --build_dir <BUILD_DIRECTORY> --include_ops_by_config <required_ops_and_types_for_your_models.config> --enable_reduced_operator_type_support
    
    1. Move the generated ONNX Runtime Android archive file to <ORT_ROOT>/js/react_native/android/libs/.

      Full build: 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.

      Reduced size build: Copy <BUILD_DIRECTORY>/aar_out/MinSizeRel/com/microsoft/onnxruntime/onnxruntime-mobile/<version>/onnxruntime-mobile-<version>.aar into <ORT_ROOT>/js/react_native/android/libs directory and update to dependencies in js/react_native/android/build.gradle to use onnxruntime-mobile instead of onnxruntime-android.

    2. To verify, open the Android Emulator and run this command from <ORT_ROOT>/js/react_native/android

      ./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.

    3. Build a fat ONNX Runtime Mobile Framework for iOS and iOS simulator from <ORT_ROOT> using this command:

      Full build:

      python tools/ci_build/github/apple/build_apple_framework.py tools/ci_build/github/apple/default_full_apple_framework_build_settings.json --config Release
      

      Reduced size build:

      python tools/ci_build/github/apple/build_apple_framework.py tools/ci_build/github/apple/default_mobile_ios_framework_build_settings.json --config MinSizeRel --include_ops_by_config <required_ops_and_types_for_your_models.config> --enable_reduced_operator_type_support
      

      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 for a full build or onnxruntime-mobile-c.zip for a reduced size build and copy to <ORT_ROOT>/js/react_native/local_pods directory.

      Full build:

      zip -r onnxruntime-c.zip .
      

      Reduced size build:

      zip -r onnxruntime-mobile-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.

      If using the reduced size build it is necessary to first update some configuration to use the mobile ORT package:

      • replace onnxruntime/onnxruntime.framework with onnxruntime-mobile/onnxruntime.framework in /js/react_native/ios/OnnxruntimeModule.xcodeproj/project.pbxproj
      • replace onnxruntime-c with onnxruntime-mobile-c in /js/react_native/ios/Podfile
      • For reference, this PR shows the changes made to switch from using the 'mobile' ORT package to the 'full' package.
      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.

    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,

    yarn bootstrap
    

    When testing with a custom built ONNX Runtime Android package, copy <BUILD_DIRECTORY>/aar_out/MinSizeRel/com/microsoft/onnxruntime/onnxruntime-{android|mobile}/<version>/onnxruntime-{android|mobile}-<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-[mobile-]c.zip into the <ORT_ROOT>/js/react_native/local_pods directory.

    If using the reduced size build it is necessary to update some configuration to use the mobile ORT package:

    • replace com.microsoft.onnxruntime:onnxruntime-android with com.microsoft.onnxruntime:onnxruntime-mobile in /js/react_native/e2e/android/app/build.gradle
    • replace onnxruntime-c with onnxruntime-mobile-c in /js/react_native/e2e/ios/Podfile
  • Run E2E Testing with Detox framework

    When testing with integrated Detox 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

      yarn bootstrap changes packages.json and yarn.lock files. Once testing is done, restore changes to avoid unwanted commit.

  1. Run Android and iOS apps.

    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.