Vitis AI 1.3 release uses container technology to distribute the AI software. The release consists of the following components.
- Tools container
- Runtime package for Zynq UltraScale+ MPSoC
- Public GitHub for examples (https://github.com/Xilinx/Vitis-AI)
- Vitis AI Model Zoo (https://github.com/Xilinx/Vitis-AI/tree/master/models/AI-Model-Zoo)
Tools Container
The tools container consists of the following:
- Containers distributed through Docker Hub: https://hub.docker.com/r/xilinx/vitis-ai/tags
- Unified compiler flow includes:
- Compiler flow for DPUCZDX8G (Embedded)
- Compiler flow for DPUCAHX8H (Cloud)
- Compiler flow for DPUCAHX8L (Cloud)
- Compiler flow for DPUCVDX8G (Edge)
- Compiler flow for DPUCVDX8H (Cloud)
- Compiler flow for DPUCADX8G (Cloud)
- Compiler flow for DPUCADF8H (Cloud)
- Pre-built conda environment to run frameworks:
- conda activate vitis-ai-caffe for Caffe-based flows
- conda activate vitis-ai-tensorflow for TensorFlow-based flows
- conda activate vitis-ai-tensorflow2 for TensorFlow2-based flows
- conda activate vitis-ai-pytorch for PyTorch-based flows
- Alveo Runtime tools
Runtime Package for MPSoC Devices
- Container path URL: https://www.xilinx.com/bin/public/openDownload?filename=vitis_ai_2020.2-r1.3.0.tar.gz
- Contents
- PetaLinux SDK and Cross compiler tool chain
- Vitis AI board packages based on 2020.2 release, including Vitis AI new generation runtime VART.
- Models and overlaybins at https://github.com/Xilinx/Vitis-AI
- All public pre-trained models
- All Zynq UltraScale+ MPSoCs and Alveo accelerator cards overlays
- Scripts are included to automate download and install models and overlays.