Examples, Demos, Tutorials

This page introduces various demos, examples, and tutorials currently available with the Ryzen™ AI Software.

Getting Started Tutorial

• The Getting Started Tutorial deploys a custom ResNet model demonstrating:

  • Pretrained model conversion to ONNX

  • Quantization using Vitis AI ONNX quantizer

  • Deployment using ONNX Runtime C++ and Python code

Examples

• Run Vitis AI ONNX Quantizer example

• Real-time object detection with Yolov8

• Run multiple concurrent AI applications with ONNXRuntime

• Run Ryzen AI Library example

• Run ONNX end-to-end examples with custom pre/post-processing nodes running on IPU

• Generative AI Examples

  • Run LLM OPT-1.3B model with ONNXRuntime

  • Run LLM OPT-1.3B model with PyTorch

  • Run LLM Llama 2 model with PyTorch

Demos

• Cloud-to-Client demo on Ryzen AI

• Multiple model concurrency demo on Ryzen AI

Tutorials

• A Getting Started Tutorial with a fine-tuned ResNet model

• Hello World Jupyter Notebook Tutorial

• End-to-end Object Detection

• Quantization for Ryzen AI

Benchmarking

• ONNX Benchmarking utilities