AMDMIGraphX
AMD's graph optimization engine.
AMD MIGraphX is AMD's graph inference engine, which accelerates machine learning model inference. The project is written primarily in C++, distributed under the MIT License license, first published in 2018. Key topics include: amd, deep-learning, gpu-acceleration, inference, migraphx.
AMD MIGraphX
AMD MIGraphX is AMD's graph inference engine, which accelerates machine learning model inference.
[!NOTE]
The published documentation is available at MIGraphX in an organized, easy-to-read format, with search and a table of contents. The documentation source files reside in thedocsfolder of this repository. As with all ROCm projects, the documentation is open source. For more information on contributing to the documentation, see Contribute to ROCm documentation.
[!NOTE]
You must install ROCm before
installing MIGraphX.
Installing from binaries
Install binaries using:
bashsudo apt update && sudo apt install -y migraphx
Header files and libraries are installed under /opt/rocm-<version>, where <version> is the ROCm
version.
Building from source
You have three options for building from source:
-
ROCm build tool: Uses
rbuild to install prerequisites, then you can build
the libraries with a single command. -
CMake: Uses a script to install prerequisites, then you can use
CMake to build the source. -
Docker: Builds a Docker image with all prerequisites installed, then you can build the
MIGraphX sources inside a Docker container.
Build prerequisites
The following is a list of prerequisites for building MIGraphX.
- 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, an 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 run queries on existing database
Installing the ROCm build tool rbuild.
-
Install
rocm-cmake,pip3,rocblas, andmiopen-hip:bashsudo apt install -y rocm-cmake python3-pip rocblas miopen-hip -
Set up and activate python venv for rbuild:
bashpython3 -m venv venv_rbuild source venv_rbuild/bin/activate -
Install rbuild in the python venv:
bashpip install https://github.com/RadeonOpenCompute/rbuild/archive/master.tar.gz
[!NOTE]
You can deactivate the python virtual environment withdeactivate.
Compile using the ROCm build tool rbuild.
-
Follow instructions in installing rbuild
-
Build MIGraphX source code:
bashrbuild build -d depend -B build -DGPU_TARGETS=$(/opt/rocm/bin/rocminfo | grep -o -m1 'gfx.*')
Once completed, all prerequisites are in the depend folder and MIGraphX is in the build directory.
[!NOTE]
If you get anrbuild: command not founderror, it's becauserbuildis installed in$HOME/.local/bin,
which is not inPATH. You can either export PATH asexport PATH=$HOME/.local/bin:$PATHto add
the folder toPATH, or add the option--prefix /usr/localin the pip3 command when installingrbuild.
Use CMake to build MIGraphX
-
Follow instructions in installing rbuild
-
Install the prerequisites:
bashrbuild prepare -d dependThis puts all the prerequisites are in
dependthe folder. They can be used in thecmake
configuration as-DCMAKE_PREFIX_PATH=depend.If you have sudo access, as an alternative to the
rbuildcommand, you can install the prerequisites
in the same way as a Dockerfile, by calling./tools/install_prereqs.sh.By default, all prerequisites are installed at the default location (
/usr/local) and are accessible by all
users. For the default location,sudois required to run the script. You can also specify a different
location using./tools/install_prereqs.sh $custom_location. -
Go to the project folder and create a
builddirectory:bashmkdir build cd build -
Configure CMake. If the prerequisites are installed at the default location
/usr/local, use:bashCXX=/opt/rocm/llvm/bin/clang++ cmake .. -DGPU_TARGETS=$(/opt/rocm/bin/rocminfo | grep -o -m1 'gfx.*')Otherwise, you need to set
-DCMAKE_PREFIX_PATH=$your_locto configure CMake.The default build type is
Release. To build MIGraphX in debug mode, pass
-DCMAKE_BUILD_TYPE=Debugwhen configuring CMake:bashCXX=/opt/rocm/llvm/bin/clang++ cmake .. \ -DCMAKE_BUILD_TYPE=Debug \ -DGPU_TARGETS=$(/opt/rocm/bin/rocminfo | grep -o -m1 'gfx.*')For optimized binaries with debug symbols, use
-DCMAKE_BUILD_TYPE=RelWithDebInfo. -
Build MIGraphX source code:
cppmake -j$(nproc)You can verify this using:
cppmake -j$(nproc) check -
Install MIGraphX libraries:
cppmake install
Use Docker
The easiest way to set up the development environment is to use Docker.
-
With the Dockerfile, build a Docker image:
bashdocker build -t migraphx . -
Enter the development environment using
docker run:bashdocker run --device='/dev/kfd' --device='/dev/dri' -v=`pwd`:/code/AMDMIGraphX -w /code/AMDMIGraphX --group-add video -it migraphx -
In the Docker container, all required prerequisites are already installed, so you can go to the folder
/code/AMDMIGraphXand follow the steps (starting from 2) in the
Use CMake to build MIGraphX.
Using the MIGraphX Python module
To use MIGraphX's Python module, you can set PYTHONPATH or use the .deb package:
-
Setting
PYTHONPATH:bashexport PYTHONPATH=/opt/rocm/lib:$PYTHONPATH -
Creating the
debpackage:bashmake packageThis provides the path for .deb package.
To install:
bashdpkg -i <path_to_deb_file>
Calling MIGraphX APIs
To use MIGraphX's C/C++ API in your CMake project, you must set CMAKE_PREFIX_PATH to the
MIGraphX installation location and run:
cmakefind_package(migraphx) target_link_libraries(myApp migraphx::c)
Where myApp is the CMake target in your project.
Other Dockerfiles
Alternative Dockerfiles are available under tools/docker/:
tools/docker/ubuntu_2404.dockerfile— Ubuntu 24.04 with ROCm 7.1.1tools/docker/ubuntu_2204.dockerfile— Ubuntu 22.04 with ROCm 6.4.2
To build with one of these, use the -f flag. For example:
bashdocker build -t migraphx:2404 -f tools/docker/ubuntu_2404.dockerfile .
Then follow the same docker run and build steps described in the
Use Docker section.
Building for development
Using rbuild, you can install the dependencies for development with:
bashrbuild develop -DGPU_TARGETS=$(/opt/rocm/bin/rocminfo | grep -o -m1 'gfx.*')
This installs development dependencies in the deps directory and configures cmake to use those
dependencies in the build directory. You can change these directories by passing the --deps-dir and
--build-dir flags to the rbuild command:
bashrbuild develop --build-dir build_rocm_55 --deps-dir /home/user/deps_dir
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 docs/html folder.
Documentation is built using Doxygen and rocm-docs-core
Run the steps below to build documentation locally. You can reuse the same venv from installing rbuild.
bashcd docs pip3 install -r sphinx/requirements.txt python3 -m sphinx -T -E -b html -d _build/doctrees -D language=en . _build/html
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:
clangclang-format-10 -style=file -i <path-to-source-file>
Also, githooks can be installed to format the code per-commit:
bash./.githooks/install
Contributors
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