onnxruntime/js/react_native
2022-01-13 00:25:51 +00:00
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android Merged PR 6524907: Fix merge conflicts from public ORT to WindowsAI ORT 2021-10-01 22:47:52 +00:00
example Merged PR 6835169: RI 12/9/21 - 01/12/22 2022-01-13 00:25:51 +00:00
ios Merged PR 6835169: RI 12/9/21 - 01/12/22 2022-01-13 00:25:51 +00:00
lib Merged PR 6835169: RI 12/9/21 - 01/12/22 2022-01-13 00:25:51 +00:00
scripts Merged PR 6524907: Fix merge conflicts from public ORT to WindowsAI ORT 2021-10-01 22:47:52 +00:00
.gitignore [js/react_native] Use a mobile ORT instead of a full ORT (#8042) 2021-06-15 13:36:05 -07:00
babel.config.js Merged PR 6524907: Fix merge conflicts from public ORT to WindowsAI ORT 2021-10-01 22:47:52 +00:00
onnxruntime-mobile-c.podspec Merged PR 6835169: RI 12/9/21 - 01/12/22 2022-01-13 00:25:51 +00:00
onnxruntime-react-native.podspec Merged PR 6835169: RI 12/9/21 - 01/12/22 2022-01-13 00:25:51 +00:00
package.json Merged PR 6835169: RI 12/9/21 - 01/12/22 2022-01-13 00:25:51 +00:00
README.md [js/react_native] Use a mobile ORT instead of a full ORT (#8042) 2021-06-15 13:36:05 -07:00
tsconfig.build.json
tsconfig.json
tsconfig.scripts.json
yarn.lock Merged PR 6835169: RI 12/9/21 - 01/12/22 2022-01-13 00:25:51 +00:00

onnxruntime-react-native

ONNX Runtime React Native provides a JavaScript library for running ONNX models on React Native app.

Why ONNX models

The Open Neural Network Exchange (ONNX) is an open standard for representing machine learning models. The biggest advantage of ONNX is that it allows interoperability across different open source AI frameworks, which itself offers more flexibility for AI frameworks adoption.

Why ONNX Runtime React Native

With ONNX Runtime React Native, React Native developers can score pre-trained ONNX models directy on React Native apps by leveraging ONNX Runtime Mobile, so it provides a light-weight inference solution for Android and iOS.

Installation

yarn add onnxruntime-react-native

Usage

import { InferenceSession } from "onnxruntime-react-native";

// load a model
const session: InferenceSession = await InferenceSession.create(modelPath);
// input as InferenceSession.OnnxValueMapType
const result = session.run(input, ['num_detection:0', 'detection_classes:0'])

Refer to ONNX Runtime JavaScript examples for samples and tutorials. Different from other JavaScript frameworks like node.js and web, React Native library doesn't support these features.

  • Unsigned data type at Tensor
  • Model loading using ArrayBuffer

Operator and type support

ONNX Runtime React Native currently supports most operators used by popular models. Refer to ONNX Runtime Mobile Pacakge Operator and Type.

License

License information can be found here.