flutter_onnxruntime 1.0.0

Native Wrapper Flutter Plugin for ONNX Runtime

[flutter_onnxruntime]

flutter_onnxruntime

Native Wrapper Flutter Plugin for ONNX Runtime

Current supported ONNX Runtime version: 1.20.1

🌟 Why This Project?

flutter_onnxruntime is a lightweight plugin that provides native wrappers for running ONNX Runtime across multiple platforms without relying on pre-built libraries.

  📦 No Pre-built Libraries
  Libraries are fetched directly from official repositories during installation, ensuring they are always up-to-date!

  🪶 Lightweight Bundle Size
  The native implementation keeps your app slim and efficient.

  🛡️ Memory Safety
  All memory management is handled in native code, reducing the risk of memory leaks.

  🔄 Easy Upgrades
  Stay current with the latest ONNX Runtime releases without the hassle of maintaining complex generated FFI wrappers.

🚀 Getting Started

Installation

Add the following dependency to your pubspec.yaml:

dependencies:
  flutter_onnxruntime: ^1.0.0

Quick Start

Example of running an addition model:

import 'package:flutter_onnxruntime/flutter_onnxruntime.dart';

// create inference session
final ort = OnnxRuntime();
final session = await ort.createSessionFromAsset('assets/models/addition_model.onnx');

// specify input with data and shape
final inputs = {
   'A': await OrtValue.fromList([1, 1, 1], [3]),
   'B': await OrtValue.fromList([2, 2, 2], [3])
}

// start the inference
final outputs = await session.run(inputs);

// print output data
print(await outputs['C']!.asList());

To get started with the Flutter ONNX Runtime plugin, see the API Usage Guide.

🧪 Examples

Simple Addition Model

A simple model with only one operator (Add) that takes two inputs and produces one output.

Run this example with:

cd example
flutter pub get
flutter run

Image Classification Model

A more complex model that takes an image as input and classifies it into one of the predefined categories.

Clone this repository and run the example following the repo's guidelines.

📊 Component Overview

Component	Description
OnnxRuntime	Main entry point for creating sessions and configuring global options
OrtSession	Represents a loaded ML model for running inference
OrtValue	Represents tensor data for inputs and outputs
OrtSessionOptions	Configuration options for session creation
OrtRunOptions	Configuration options for inference execution

🚧 Implementation Status

Feature	Android	iOS	Linux	macOS	Windows	Web
CPU Inference	✅	✅	✅	✅
Inference on Emulator	✅	✅	✅	✅
GPU Inference	✅	✅	✅	✅
Input/Output names	✅	✅	✅	✅
Input/Output Info	✅	❌*	✅	❌*
Model Metadata	✅	❌*	✅	❌*
Data Type Conversion	✅	✅	✅	✅
FP16 Support	✅	❌**	✍️	❌**

✅: Complete

❌: Not supported

🚧: Ongoing

✍️: Planned

*: Retrieving model metadata and input/output info is not avialable in onnxruntime-objc, only names available.

**: Swift does not support FP16 type.

🛠️ Troubleshooting

For troubleshooting, see the troubleshooting.md file.

🤝 Contributing

Contributions to the Flutter ONNX Runtime plugin are welcome. Please see the contributing.md file for more information.

📚 Documentation

Find more information in the documentation.