lld cmake 3.20.6 ninja 1.8.2 Xilinx Vitis 2023.2 python 3.8.x and pip virtualenv pip3 install psutil rich pybind11 numpy clang/llvm 14+ from source https://github.com/llvm/llvm-project
Xilinx Vitis can be downloaded and installed from the Xilinx Downloads site.
In order to successfully install Vitis on a fresh bare-bones Ubuntu install, some additional prerequisites are required, documented here. For Ubuntu 20.04, the installation should succeed if you additionally install the following packages:
libncurses5 libtinfo5 libncurses5-dev libncursesw5-dev ncurses-compat-libs libstdc++6:i386 libgtk2.0-0:i386 dpkg-dev:i386 python3-pip Further note that the above mentioned cmake prerequisite is not satisfied by the package provided by Ubuntu; you will need to obtain a more current version.
NOTE: Using the Vitis recommended
settings64.sh script to set up your environement can cause tool conflicts. Setup your environment in the following order for aietools and Vitis:
The cmake and python packages prerequisites can be satisfied by sourcing the
utils/setup_python_packages.sh script. See step 2 of the build instructions.
This script requires
clang/llvm 14+ are recommended to be built with the provided scripts. See step 3. of the build instructions.
In addition, the following optional packages may be useful:
LibXAIE is a backend target used to execute designs in hardware: https://github.com/Xilinx/embeddedsw/tree/master/XilinxProcessorIPLib/drivers/aiengine
Note that if you build one of the supported platforms like
vck190_bare_prod, the generated
already contains the LibXAIE drivers so you do not need to download the
embeddedsw repository or
Currently, the only supported target is the Xilinx VCK190 board, running Ubuntu-based Linux, however the tools are largely board and device independent and can be adapted to other environments.
mlir-aierepository with its sub-modules:
git clone --recurse-submodules https://github.com/Xilinx/mlir-aie.git cd mlir-aie
All subsequent steps should be run from inside the top-level
directory of the
mlir-aie repository cloned above.
utils/setup_python_packages.shto setup the prerequisite python packages. This script creates and installs the python packages listed in
utils/requirements.txtin a virtual python environment called ‘sandbox’, then it enters the sandbox:
If you need to exit the sandbox later, type
deactivate. If you
have a recent Linux distribution, you might not need this, as you
are able to have all the required packages from the distribution.
Clone and compile LLVM, with the ability to target AArch64 as a
cross-compiler, and with MLIR enabled: in addition, we make some
common build optimizations to use a linker (
ld (which tends to be quite slow on large link jobs) and to
libClang.so. You may find that other
options are also useful. Note that due to changing MLIR APIs, only
a particular revision is expected to work.
utils/clone-llvm.sh for the correct
llvm commit hash):
If you have already an LLVM repository, you can instead of cloning just make a new worktree from it by using:
./utils/clone-llvm.sh --llvm-worktree <directory-of-existing-LLVM-repository>
To build (compile and install) LLVM, run
utils/build-llvm-local.sh in the directory where
been cloned. See
utils/build-llvm-local.sh for additional shell script arguments.
build-llvm.sh are a
variation of the LLVM build script used for CI on GitHub and
looking at the continuous integration recipe
and output https://github.com/Xilinx/mlir-aie/actions/ might help
in the case of compilation problem.)
This will build LLVM in
llvm/build and install the LLVM binaries under
Build the MLIR-AIE tools by calling
utils/build-mlir-aie.sh for Versal or
utils/build-mlir-aie-ryzen-ai.sh for Ryzen AI with the path to the
directory. The Vitis environment will have to be set up for this to succeed.
source <Vitis Install Path>/settings64.sh ./utils/build-mlir-aie.sh <llvm dir>/<build dir>
./utils/build-mlir-aie-ryzen-ai.sh <llvm dir>/<build dir>
This will create a
install folder in the directory that you cloned MLIR AIE into.
The MLIR AIE tools will be able to generate binaries targetting a combination of AIEngine and ARM processors.
utils/env_setup.shscript with the paths to the install folders for mlir-aie and llvm.
source utils/env_setup.sh <mlir-aie>/install <llvm dir>/install
Since the AIE tools are cross-compiling, in order to actually compile code, we need a ‘sysroot’ directory, containing an ARM rootfs. This rootfs must match what will be available in the runtime environment. Note that copying the rootfs is often insufficient, since many root file systems include absolute links. Absolute symbolic links can be converted to relative symbolic links using symlinks.
cd / sudo symlinks -rc .
Following the platform build steps will create such a sysroot based on PetaLinux. Note that those instructions require Vitis 2021.2 – building a sysroot with Vitis 2023.2 will not currently succeed.
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