Building the MLIR-AIE Codebase on Linux

These instructions will guide you through everything required for building and executing a program on the Ryzen™ AI NPU, starting from a fresh bare-bones Ubuntu 24.04 or Ubuntu 24.10 install. It is possible to use Ubuntu 22.04 however you must follow the documentation on the xdna-driver repository to configure the Linux kernel, driver and runtime for deployment.

Initial Setup

Be sure you have the latest BIOS on your laptop or mini-PC that enables the NPU. See here.

If starting from Ubuntu 24.04 you may need to update the Linux kernel to 6.11+ by installing the Hardware Enablement (HWE) stack:

  sudo apt update 
  sudo apt install --install-recommends linux-generic-hwe-24.04
  sudo reboot

Prerequisites

BIOS Settings:

Turn off SecureBoot (Allows for unsigned drivers to be installed): BIOS → Security → Secure boot → Disable

Build and install the XDNA™ Driver and XRT

Execute the scripted build process:

This script will install package dependencies, build the xdna-driver and xrt packages, and install them. These steps require sudo access.
```
 bash ./utils/build_drivers.sh
```
Reboot as directed after the script exits.
```
 sudo reboot
```

Check that the NPU is working if the device appears with xrt-smi:

source /opt/xilinx/xrt/setup.sh
xrt-smi examine

At the bottom of the output you should see:

 Devices present
 BDF             :  Name             
------------------------------------
 [0000:66:00.1]  :  NPU Strix

Install AIETools

Install Vitis™ AIE Essentials from Ryzen AI Software 1.3 Early Access. We will assume you use the installation directory, /tools/ryzen_ai-1.3.0/vitis_aie_essentials.

This is an early access lounge, you must register and be granted access at this time.
1. Download VAIML Installer for Linux based compilation: ryzen_ai-1.3.0ea1.tgz
2. Extract the required tools:
```
   tar -xzvf ryzen_ai-1.3.0ea1.tgz
   cd ryzen_ai-1.3.0
   mkdir vitis_aie_essentials
   mv vitis_aie_essentials*.whl vitis_aie_essentials
   cd vitis_aie_essentials
   unzip vitis_aie_essentials*.whl
```
Set up an AI Engine license.
1. Get a local license for AI Engine tools from https://www.xilinx.com/getlicense.
2. Copy your license file (Xilinx.lic) to your preferred location, e.g. /opt/Xilinx.lic:

Setup your environment using the following script for Vitis™ for AIETools:

#!/bin/bash
#################################################################################
# Setup Vitis AIE Essentials
#################################################################################
export AIETOOLS_ROOT=/tools/ryzen_ai-1.3.0/vitis_aie_essentials
export PATH=$PATH:${AIETOOLS_ROOT}/bin
export LM_LICENSE_FILE=/opt/Xilinx.lic

Install IRON and MLIR-AIE Prerequisites

Install the following packages needed for MLIR-AIE:

 # Python versions 3.10, 3.12 and 3.13 are currently supported by our wheels
 sudo apt install \
 build-essential clang clang-14 lld lld-14 cmake ninja-build python3-venv python3-pip

Build and Install mlir-aie and IRON

Clone the mlir-aie repository:

git clone https://github.com/Xilinx/mlir-aie.git
cd mlir-aie
git submodule update --init --recursive

Setup a virtual environment:

python3 -m venv ironenv
source ironenv/bin/activate
python3 -m pip install --upgrade pip

Install required Python packages:

# Install basic Python requirements 
python3 -m pip install -r python/requirements.txt

# This installs the pre-commit hooks defined in .pre-commit-config.yaml
pre-commit install

# Install MLIR Python Extras 
HOST_MLIR_PYTHON_PACKAGE_PREFIX=aie python3 -m pip install -r python/requirements_extras.txt

Use scripted mlir-aie build process. This script downloads llvm/mlir from wheels before building.
```
bash ./utils/build-mlir-aie-from-wheels.sh
```
Setup environment and add tools to PATHs
```
source utils/env_setup.sh install
```

Build an IRON Design for AIEs in the AMD Ryzen™ AI NPU

For your design of interest, for instance from programming_examples, 2 steps are needed: (i) build the AIE design and then (ii) build the host code.

Build Device AIE Part

Goto the design of interest and run:
```
make
```
Build host code and execute the design:
```
 make run
```

Learn more

Additional MLIR-AIE documentation is available on the website
AIE API header library documentation for single-core AIE programming in C++ is avaiable here

Contributing:

Interested in contributing MLIR-AIE? Information for developers

Troubleshooting:

Update BIOS:

Be sure you have the latest BIOS for your laptop or mini PC, this will ensure the NPU (sometimes referred to as IPU) is enabled in the system. You may need to manually enable the NPU: Advanced → CPU Configuration → IPU

NOTE: Some manufacturers only provide Windows executables to update the BIOS, please do this before installing Ubuntu.

MLIR Dialect and Compiler Documentation