3dd6fcc089
To align with Office and other MS products. Office's support policy is: "Office for iPad and iPhone is supported on the two most recent versions of iOS and iPadOS. When a new version of iOS or iPadOS is released, the Office Operating System requirement becomes the two most recent versions: the new version of iOS or iPadOS and the previous version." (from https://products.office.com/office-system-requirements) The latest iOS version is 17. So they support both 17 and 16. Here I set our min iOS version to 13 so that it will be a superset of what Office supports. This change would allow us using C++17's std::filesystem feature in the core framework. The modifications were generated by running ```bash find . -type f -exec sed -i "s/apple_deploy_target[ =]12.0/apple_deploy_target=13.0/g" {} \; ``` Cannot use 15.0 because otherwise iOS packaging would fail with: ``` /Users/runner/work/1/b/apple_framework/intermediates/iphoneos_arm64/Release/_deps/coremltools-src/mlmodel/src/MILBlob/Util/Span.hpp:288:9: error: cannot use 'throw' with exceptions disabled MILVerifyIsTrue(index < Size(), std::range_error, "index out of bounds"); ``` The Google OSS libraries we use only officially support iOS 15+. |
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| package.json | ||
| README.md | ||
| test_types_models.readme.md | ||
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onnxruntime-react-native
ONNX Runtime React Native provides a JavaScript library for running ONNX models in a 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 directly in React Native apps by leveraging ONNX Runtime, 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. The ONNX Runtime React Native library does not currently support the following features:
- Tensors with unsigned data types, with the exception of uint8 on Android devices
- Model loading using ArrayBuffer
Operator and type support
ONNX Runtime React Native version 1.13 supports both ONNX and ORT format models, and includes all operators and types.
Previous ONNX Runtime React Native packages use the ONNX Runtime Mobile package, and support operators and types used in popular mobile models. See here for the list of supported operators and types.
License
License information can be found here.