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Linux Setup and Build Instructions

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 22.04 LTS install. Only Ubuntu 22.04 LTS is supported.

Initial Setup

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.

BIOS Settings:

  1. Turn off SecureBoot (Allows for unsigned drivers to be installed)

    BIOS → Security → Secure boot → Disable

  2. Turn Ac Power Loss to "Always On" (Can be used for PDU reset, turns computer back on after power loss)

    BIOS → Advanced → AMD CBS → FCH Common Options → Ac Power Loss Options → Set Ac Power Loss to "Always On"

Overview

You will...

  1. Install a driver for the Ryzen™ AI. As part of this, you will need to...

    1. ...install Xilinx Vitis and obtain a license.

    2. ...compile and install a more recent Linux kernel.

    3. ...compile and install the XDNA driver from source.

  2. Install the compiler toolchain, allowing you to compile your own NPU designs from source. As part of this, you will need to...

    1. ...install prerequisites.

    2. ...install MLIR-AIE from precompiled binaries (fast) or from source (slow).

  3. Build and execute one of the example designs. This consists of...

    1. ...setting up your environment.

    2. ...building device (NPU) code.

    3. ...building and executing host (x86) code and device (NPU) code.

Be advised that two of the steps (Linux compilation and Vitis install) may take hours. If you decide to build mlir-aie from source, this will also take a long time as it contains an LLVM build. Allocate enough time and patience. Once done, you will have an amazing toolchain allowing you to harness this great hardware at your hands.

Prerequisites

Install Xilinx Vitis 2023.2

  1. Install Vitis under from Xilinx Downloads. You will need to run the installer as root. We will assume you use the default installation directory, /tools/Xilinx.

    This is a large download. A wired connection will speed things up. Be prepared to spend multiple hours on this step.

  2. Set up a AI Engine license.

    1. Get a local license for AIE Engine tools from https://www.xilinx.com/getlicense.

    2. Copy your license file (Xilinx.lic) to your preferred location, e.g. /opt/Xilinx.lic:

    3. Setup your environment using the following script for Vitis and aietools:

      #!/bin/bash
 #################################################################################
 # Setup Vitis (which includes Vitis and aietools)
 #################################################################################
 export MYXILINX_VER=2023.2
 export MYXILINX_BASE=/tools/Xilinx
 export XILINX_LOC=$MYXILINX_BASE/Vitis/$MYXILINX_VER
 export AIETOOLS_ROOT=$XILINX_LOC/aietools
 export PATH=$PATH:${AIETOOLS_ROOT}/bin:$XILINX_LOC/bin
 export LM_LICENSE_FILE=/opt/Xilinx.lic
 export VITIS=${XILINX_LOC}
 export XILINX_VITIS=${XILINX_LOC}
 export VITIS_ROOT=${XILINX_LOC}

    4. Vitis requires some python3.8 libraries:

      sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt-get update
sudo apt install libpython3.8-dev

Update Linux

The reason we need to update the kernel is that the XDNA driver requires IOMMU SVA support.

  1. Disable Secure Boot in the BIOS. This allows for unsigned drivers to be installed.

    On the ASUS Vivobook, this setting can be found under BIOS → Advanced Settings (F7) → Security → Secure Boot → Secure Boot Control (Set to Disabled)

  2. Install the following prerequisite packages for compiling Linux:

    sudo apt install \
build-essential debhelper flex bison libssl-dev libelf-dev libboost-all-dev libpython3.10-dev libsystemd-dev libtiff-dev libudev-dev

  3. Pull the source for kernel version 6.10.

    git clone --depth=1 --branch v6.10 git://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git
export LINUX_SRC_DIR=$(realpath linux)

  4. Create a build directory and a configuration within it.

    mkdir linux-build
export LINUX_BUILD_DIR=$(realpath linux-build)
cp /boot/config-`uname -r` $LINUX_BUILD_DIR/.config

  5. Go to the directory where you cloned Linux and adjust the configuration.

    cd $LINUX_SRC_DIR
make O=$LINUX_BUILD_DIR olddefconfig
./scripts/config --file $LINUX_BUILD_DIR/.config --disable MODULE_SIG
./scripts/config --file $LINUX_BUILD_DIR/.config --disable SYSTEM_TRUSTED_KEYS
./scripts/config --file $LINUX_BUILD_DIR/.config --disable SYSTEM_REVOCATION_KEYS
./scripts/config --file $LINUX_BUILD_DIR/.config --enable DRM_ACCEL

  6. Build Linux.

    make -j$(nproc) O=$LINUX_BUILD_DIR bindeb-pkg 2>&1 | tee kernel-build.log

    Compiling the linux kernel may take hours.

    Note that the final kernel .deb packages will be in the parent directory of LINUX_BUILD_DIR.

  7. Install the new Linux kernel and reboot.

    cd $LINUX_BUILD_DIR
sudo apt reinstall ../linux-headers-6.10.0_6.10.0-1_amd64.deb ../linux-image-6.10.0_6.10.0-1_amd64.deb ../linux-libc-dev_6.10.0-1_amd64.deb
sudo shutdown --reboot 0

Install the XDNA Driver

  1. Install a more recent CMake, which is needed for building XRT.

    1. Download CMake 3.28 binaries into NEW_CMAKE_DIR.

      mkdir cmake
export NEW_CMAKE_DIR=$(realpath cmake)
cd cmake
wget https://github.com/Kitware/CMake/releases/download/v3.28.3/cmake-3.28.3-linux-x86_64.sh
chmod +x ./cmake-3.28.3-linux-x86_64.sh
./cmake-3.28.3-linux-x86_64.sh

    2. Answer the prompts with y (accept license), then n (include subdirectory).

    3. Add new cmake directory to your PATH.

      export PATH="${NEW_CMAKE_DIR}/bin":"${PATH}"

    4. Verify the install of CMake was successful.

      cmake --version

      The frist line this prints should read cmake version 3.28.3

  2. Install the following prerequisite packages.

    sudo apt install \
libidn11-dev

  3. Clone the XDNA driver repository and its submodules.

    git clone https://github.com/amd/xdna-driver.git
export XDNA_SRC_DIR=$(realpath xdna-driver)
cd xdna-driver
git reset --hard 537a509a3ab1b698c9c9f6ebcd88035b2fe8359b
git submodule update --init --recursive

    The submodules use SSH remotes. You will need a GitHub account and locally installed SSH keys to pull the submodules. Follow these instructions to set up an SSH key. Alternatively, edit .gitmodules to use HTTPS instead of SSH.

  4. Install XRT. (Below steps are adapted from here.)

    1. Install XRT prerequisites.

      cd $XDNA_SRC_DIR
sudo ./tools/amdxdna_deps.sh

    2. Build XRT. Remember to source the aietools/Vitis setup script from above.

      cd $XDNA_SRC_DIR/xrt/build
./build.sh -noert -noalveo

    3. Install XRT.

      cd $XDNA_SRC_DIR/xrt/build/Release
sudo apt reinstall ./xrt_202420.2.18.0_22.04-amd64-xrt.deb ./xrt_202420.2.18.0_22.04-amd64-xbflash.deb

      An error is expected in this step. Ignore it.

  5. Build XDNA-Driver. Below steps are adapted from here.

    cd $XDNA_SRC_DIR/build
./build.sh -release
./build.sh -package

  6. Install XDNA.

    cd $XDNA_SRC_DIR/build/Release
sudo apt reinstall ./xrt_plugin.2.18.0_ubuntu22.04-x86_64-amdxdna.deb

  7. 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]  :  RyzenAI-npu1

Install MLIR-AIE Prerequisites

  1. Install the following packages needed for MLIR-AIE:

    sudo apt install \
build-essential clang clang-14 lld lld-14 cmake python3-venv python3-pip libxrender1 libxtst6 libxi6 virtualenv

  2. Install g++13 and opencv needed for some programming examples:

    sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt update
sudo apt install gcc-13 g++-13 -y
sudo apt install libopencv-dev python3-opencv

  3. Remember to source the aietools/Vitis setup script from above.

  4. Choose one of the two options (A or B) below for installing MLIR-AIE.

Option A - Quick Setup for Ryzen™ AI Application Development

  1. Clone the mlir-aie repository, best under /home/username for speed (yourPathToBuildMLIR-AIE):

    git clone https://github.com/Xilinx/mlir-aie.git
cd mlir-aie

  2. Source utils/quick_setup.sh to setup the prerequisites and install the mlir-aie and llvm compiler tools from whls.

  3. Jump ahead to Build Device AIE Part step 2 below.

Option B - Build mlir-aie Tools from Source for Development

  1. Clone https://github.com/Xilinx/mlir-aie.git best under /home/username for speed (yourPathToBuildMLIR-AIE), with submodules:

    git clone --recurse-submodules https://github.com/Xilinx/mlir-aie.git

  2. Follow regular getting started instructions Building on x86 from step 2. Please disregard any instructions referencing alternative LibXAIE versions or sysroots.

Setting up your Environment

After all prerequisites (drivers and compilation toolchain) have been installed, you need to make them findable by adding them to the PATH and setting required environment variables.

We suggest you add all of the following to a setup.sh script in your home directory, and source setup.sh as the first step of your workflow. That way, everything is set up in one setp.

setup.sh - Option A - Quick Setup

export LM_LICENSE_FILE=/opt/Xilinx.lic
source /opt/xilinx/xrt/setup.sh
export PATH="${NEW_CMAKE_DIR}/bin":"${PATH}"

cd ${MLIR_AIE_BUILD_DIR}
source ${MLIR_AIE_BUILD_DIR}/ironenv/bin/activate
source ${MLIR_AIE_BUILD_DIR}/utils/env_setup.sh ${MLIR_AIE_BUILD_DIR}/my_install/mlir_aie ${MLIR_AIE_BUILD_DIR}/my_install/mlir

Replace ${MLIR_AIE_BUILD_DIR} with the directory in which you built mlir-aie above. Replace ${NEW_CMAKE_DIR} with the directory in which you installed CMake 3.28 above. Instead of search and replace, you can also define these values as environment variables.

For quick setup, this step is only needed if you are starting with a new terminal. If you are continuing in the same terminal you used to install the prerequisites, the environment variables should all be set.

setup.sh - Option B - Toolchain Compiled From Source

cd ${MLIR_AIE_BUILD_DIR}
source ${MLIR_AIE_BUILD_DIR}/sandbox/bin/activate
source /opt/xilinx/xrt/setup.sh
source ${MLIR_AIE_BUILD_DIR}/utils/env_setup.sh ${MLIR_AIE_BUILD_DIR}/install ${MLIR_AIE_BUILD_DIR}/llvm/install

Replace ${MLIR_AIE_BUILD_DIR} with the directory in which you built mlir-aie above. Instead of search and replace, you can also define MLIR_AIE_BUILD_DIR as an environment variable.

Build a Design

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

Build Device AIE Part

  1. Prepare your enviroment with the mlir-aie tools (built during prerequisites part of this guide) - see "Setting Up Your Environment" avove.

  2. Goto the design of interest and run make

Build and Run Host Part

Note that your design of interest might need an adapted CMakeLists.txt file. Also pay attention to accurately set the paths CMake parameters BOOST_ROOT, XRT_INC_DIR and XRT_LIB_DIR used in the CMakeLists.txt, either in the file or as CMake command line parameters.

  1. Build: Goto the same design of interest folder where the AIE design just got built (see above)

    make <testName>.exe

    Note that the host code target has a .exe file extension even on Linux. Although unusual, this is an easy way for us to distinguish whether we want to compile device code or host code.

  2. Run (program arguments are just an example for add_one design)

    cd Release
.\<testName>.exe -x ..\..\build\final.xclbin -k MLIR_AIE -i ..\..\build\insts.txt -v 1

Troubleshooting

Signing your XCLBIN (older xdna Linux drivers)

  1. Signing your array configuration binary aka. XCLBIN 
    sudo bash
source /opt/xilinx/xrt/setup.sh
# Assume adding an unsigned xclbin on Phoenix, run
/opt/xilinx/xrt/amdxdna/setup_xclbin_firmware.sh -dev Phoenix -xclbin <your test>.xclbin

# <your test>_unsigned.xclbin will be added into /lib/firmware/amdxdna/<version>/ and symbolic link will create.
# When xrt_plugin package is removed, it will automatically cleanup.
    1. Alternatively, you can sudo chown -R $USER /lib/firmware/amdnpu/1502/ and remove the check for root in /opt/xilinx/xrt/amdxdna/setup_xclbin_firmware.sh (look for !!! Please run as root !!!).

Resetting the NPU

It is possible to hang the NPU in an unstable state. To reset the NPU:

sudo rmmod amdxdna.ko
sudo insmod $XDNA_SRC_DIR/build/Release/bins/driver/amdxdna.ko

If you installed the AMD XDNA driver using .deb packages as outlined above, and insmod does not work, you may instead want to try:

sudo modprobe -r amdxdna
sudo modprobe -v amdxdna

xrt_core::system_error - Unsigned xclbins

If you are able to successfully build your design, but are getting the following error when trying to execute it:

terminate called after throwing an instance of 'xrt_core::system_error'
  what():  DRM_IOCTL_AMDXDNA_CREATE_HWCTX IOCTL failed (err=2): No such file or directory
Aborted (core dumped)

This may be because you did not sign your final.xclbin. The device only allows executing signed xclbins for some versions of the driver. Follow step 3 under section Build Device AIE Part above.

Signing the xclbin hangs

As outlined above, .xclbin files must be signed to be able to run on the device. Signing is done by running

/opt/xilinx/xrt/amdxdna/setup_xclbin_firmware.sh -dev Phoenix -xclbin <your test>.xclbin

This may hang after the following output if you have too many signed .xclbins:

Copy <your test>.xclbin to /lib/firmware/amdnpu/1502/<your test>.xclbin

If this happens, clear all your previously signed .xclbins as follows (you will of course have to re-sign the ones you remove in this step if you want to run them again, but chances are you have many old unneeded .xclbins in there):

rm /lib/firmware/amdnpu/1502/<your tests>.xclbin

License Errors When Trying to Compile

The v++ compiler for the NPU device code requires a valid Vitis license. If you are getting errors related to this:

  1. You have obtained a valid license, as described above.
  2. Make sure you have set the environment variable LM_LICENSE_FILE to point to your license file, see above.
  3. Make sure the ethernet interface whose MAC address you used to generate the license is still available on your machine. For example, if you used the MAC address of a removable USB Ethernet adapter, and then removed that adapter, the license check will fail. You can list MAC addresses of interfaces on your machine using ip link.

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