Ryzen™ AI Software
Introduction
AMD Ryzen™ AI Software includes the tools and runtime libraries for optimizing and deploying AI inference on your AMD Ryzen™ AI based PC. It enables developers to quickly build and run a variety of AI applications for Ryzen™ AI. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on Ryzen™ AI.
This repository contains the demos, examples and tutorials, demonstrating usage and capabilities of the Ryzen™ AI Software. It is a subset of the Ryzen™ AI Software release.
Examples
- Real-time object detection with Yolov8
- Run multiple concurrent AI applications with ONNXRuntime
- Run LLM OPT-1.3B model with ONNXRuntime
- Run LLM OPT-1.3B model with PyTorch
- Run Vision-Transformer model with ONNXRuntime
- Run ONNX end-to-end examples with custom pre/post-processing nodes running on IPU
Demos
Tutorials
- A Getting Started Tutorial with a fine-tuned ResNet model
- End-to-end Object Detection
- Quantization for Ryzen AI
Getting Started
To run the demos and examples in this repository, please follow the instructions of README.md in each directory.