AMD MIGraphX

AMD MIGraphX is AMD's graph inference engine that accelerates machine learning model inference. AMD MIGraphX can be used by installing binaries directly or building from source code.

In the following, instructions of how to build and install MIGraphX are described with Ubuntu as the OS (Instructions of installation on other Linux OSes will come later). Note that all the following instructions assume ROCm has been installed successfully. ROCm installation instructions are explained in the ROCm installation guide.

Installing from binaries

With ROCm installed correctly, MIGraphX binaries can be installed on Ubuntu with the following command:

sudo apt update && sudo apt install -y migraphx

then the header files and libs are installed under /opt/rocm-<version>, where <version> is the ROCm version.

Building from source

There are three ways to build the MIGraphX sources.

• Use the ROCm build tool

  This approach uses rbuild to install the prerequisites and build the libs with just one command.

• Use cmake

  This approach uses a script to install the prerequisites, then use cmake to build the source.

• Use docker

  This approach builds a docker image with all prerequisites installed, then build the MIGraphX sources inside a docker container.

In the following, we will first list the prerequisites required to build MIGraphX source code, then describe each of the three approaches.

List of prerequisites

The following is a list of prerequisites required to build MIGraphX source.

• ROCm cmake modules required
• MIOpen for running on the GPU
• rocBLAS for running on the GPU
• HIP for running on the GPU
• Protobuf for reading onnx files
• Half - IEEE 754-based half-precision floating point library
• pybind11 - for python bindings
• JSON - for model serialization to json string format
• MessagePack - for model serialization to binary format
• SQLite3 - to create database of kernels' tuning information or execute queries on existing database

Use the ROCm build tool rbuild.

In this approach, we use the rbuild build tool to build MIGraphX. The specific steps are as follows:

1. Install rocm-cmake, pip3, rocblas, and miopen-hip with the command

sudo apt update && sudo apt install -y rocm-cmake python3-pip rocblas miopen-hip

2. Install rbuild (sudo may be required here.)

pip3 install https://github.com/RadeonOpenCompute/rbuild/archive/master.tar.gz

3. Build MIGraphX source code

rbuild build -d depend -B build --cxx=/opt/rocm/llvm/bin/clang++

then all the prerequisites are in the folder depend, and MIGraphX is built in the build directory.

Note that for ROCm3.7 and later releases, Ubuntu 18.04 or later releases are needed. Upgrade to Ubuntu 18.04 is available at Upgrade Ubuntu to 18.04

Also note that you may meet the error of rbuild: command not found. It is because rbuild is installed at $HOME/.local/bin, which is not in PATH. You can either export PATH as export PATH=$HOME/.local/bin:$PATH to add the folder to PATH or add the option --prefix /usr/local in the pip3 command when installing rbuild.

Use cmake to build MIGraphX

If using this approach, we need to install the prerequisites, configure the cmake, and then build the source.

Installing the prerequisites

For convenience, the prerequisites can be built automatically with rbuild as:

rbuild build -d depend --cxx=/opt/rocm/llvm/bin/clang++

then all the prerequisites are in the folder depend, and they can be used in the cmake configuration as -DCMAKE_PREFIX_PATH=depend.

If you have sudo access, as an alternative to the rbuild command, you can install the prerequisites just like in the dockerfile by calling ./tools/install_prereqs.sh.

(Note that this script is for Ubuntu. By default, all prerequisites are installed at the default location /usr/local and are accessible by all users. For the default location, sudo is required to run the script. You can also specify a location at which the prerequisites are installed with ./tools/install_prereqs.sh $your_loc.)

Building MIGraphX source and install libs

With the above prerequisites installed, we can build source as:

1. Go to the project folder and create a build directory:

mkdir build
cd build

2. Configure the cmake. If the prerequisites are installed at the default location /usr/local, the command is:

CXX=/opt/rocm/llvm/bin/clang++ cmake ..

Otherwise, you need to set -DCMAKE_PREFIX_PATH=$your_loc to configure the cmake.

3. Build MIGraphX source code

make -j$(nproc)

Correctness can be verified as:

make -j$(nproc) check

MIGraphX libs can be installed as:

make install

Use docker

The easiest way to setup the development environment is to use docker. With the dockerfile, you can build a docker image as:

docker build -t migraphx .

Then to enter the developement environment use docker run:

docker run --device='/dev/kfd' --device='/dev/dri' -v=`pwd`:/code/AMDMIGraphX -w /code/AMDMIGraphX --group-add video -it migraphx

In the docker container, all the required prerequisites are already installed, so users can just go to the folder /code/AMDMIGraphX and follow the steps in the above Build MIGraphX source and install libs section to build MIGraphX source.

Using MIGraphX Python Module

To use MIGraphX's Python module, please either set PYTHONPATH or use .deb package as explained below:

• Setting PYTHONPATH :

export PYTHONPATH=/opt/rocm/lib:$PYTHONPATH

• Creating and installing the package:

To create deb package:

make package

This will provide the path of .deb package.

To install:

dpkg -i <path_to_deb_file>

Calling MIGraphX APIs

To use MIGraphX's C/C++ API in your cmake project, we need to set CMAKE_PREFIX_PATH to the MIGraphX installation location and then do

find_package(migraphx)
target_link_libraries(myApp migraphx::c)

Where myApp is the cmake target in your project.

Building the documentation

HTML and PDF documentation can be built using:

cmake --build . --config Release --target doc OR make doc

This will build a local searchable web site inside the doc/html folder.

Documentation is built using Doxygen, Sphinx, and Breathe

Requirements for both Sphinx and Breathe can be installed with:

pip install -r doc/requirements.txt

Depending on your setup sudo may be required for the pip install.

Formatting the code

All the code is formatted using clang-format. To format a file, use:

clang-format-10 -style=file -i <path-to-source-file>

Also, githooks can be installed to format the code per-commit:

./.githooks/install