Build from Source¶
Download the Source Code¶
Download oneDNN source code or clone the repository.
git clone https://github.com/uxlfoundation/oneDNN.git
Build the Library¶
Set up the environment for the compiler¶
Ensure that all software dependencies are in place and have at least the minimal supported version.
Generate the build system¶
The oneDNN build system is based on CMake. Use the following command to generate a build system:
cmake -B <path-to-build> [-S <path-to-source>] [<options>]
In most cases, both -B
and -S
options are skipped with the assumption that <path-to-build>
is the current folder and <path-to-source>
is the one higher in the tree:
cd <path-to-onednn-source> mkdir -p build ; cd build cmake .. [<options>]
The following are a few useful options defined by CMake:
G
to specify build system generator (e.g."Visual Studio 17 2022"
,Ninja
,"Unix Makefiles"
).CMAKE_INSTALL_PREFIX
to control the library installation location.CMAKE_BUILD_TYPE
to select between build type (Release
,Debug
,RelWithDebInfo
).CMAKE_PREFIX_PATH
to specify directories to be searched for the dependencies located at non-standard locations.
See Build Options for detailed description of build-time configuration options defined by oneDNN.
Build the library¶
CMake provides a unified method for building a project, independent of the generator or operating system used:
cmake --build <path-to-build> [<options>]
Full list of options can be found here.
Linux/macOS¶
GCC, Clang, or Intel oneAPI DPC++/C++ Compiler¶
Set up the environment for the compiler
# Uncomment the following lines to build with GCC # export CC=gcc # export CXX=g++ # Uncomment the following lines to build with Clang # export CC=clang # export CXX=clang++ # Uncomment the following lines to build with Intel oneAPI DPC++/C++ Compiler (x64 only) # export CC=icx # export CXX=icpx
Generate the build system
mkdir -p build ; cd build cmake ..
Build the library
# Some generators, like Unix Makefiles, might default to single-threaded # compilation. Parallelization can be controlled with: cmake --build . --parallel $(nproc)
Intel oneAPI DPC++/C++ Compiler with SYCL runtime¶
Set up the environment for the compiler
Intel oneAPI DPC++/C++ Compiler uses the setvars.sh
script to set all required variables. The command below assumes you installed to the default folder. If you customized the installation folder, setvars.sh
(Linux/macOS) is in your custom folder.
source /opt/intel/oneapi/setvars.sh # Set Intel oneAPI DPC++/C++ Compiler as default C and C++ compilers export CC=icx export CXX=icpx
Generate the build system
mkdir -p build ; cd build cmake .. -DDNNL_CPU_RUNTIME=SYCL \ -DDNNL_GPU_RUNTIME=SYCL
Note
Open-source version of oneAPI DPC++ Compiler does not have the icx driver, use clang/clang++ instead. Open-source version of oneAPI DPC++ Compiler may not contain OpenCL runtime. In this case, you can use OPENCLROOT
CMake option or environment variable of the same name to specify path to the OpenCL runtime if it is installed in a custom location.
Build the library
cmake --build . --parallel $(nproc)
GCC targeting AArch64 on x64 host¶
Set up the environment for the compiler
export CC=aarch64-linux-gnu-gcc export CXX=aarch64-linux-gnu-g++
Generate the build system
mkdir -p build ; cd build cmake .. -DCMAKE_SYSTEM_NAME=Linux \ -DCMAKE_SYSTEM_PROCESSOR=AARCH64 \ -DCMAKE_LIBRARY_PATH=/usr/aarch64-linux-gnu/lib
Build the library
cmake --build . --parallel $(nproc)
GCC with Arm Compute Library (ACL) on AArch64 host¶
Set up the environment for the compiler
Download Arm Compute Library or build it from source and set ACL_ROOT_DIR
to directory where it is installed.
export ACL_ROOT_DIR=<path/to/ComputeLibrary> export CC=gcc export CXX=g++
Generate the build system
mkdir -p build ; cd build cmake .. -DDNNL_AARCH64_USE_ACL=ON
Build the library
cmake --build . --parallel $(nproc)
Windows¶
Microsoft Visual C++ Compiler¶
Set up the environment for the compiler
Microsoft Visual Studio uses the VsDevCmd.bat
script to set all required variables. The command below assumes you installed to the default folder. If you customized the installation folder, VsDevCmd.bat
is in your custom folder.
"C:\Program Files\Microsoft Visual Studio\2022\Professional\Common7\Tools\VsDevCmd.bat" -startdir=none -arch=x64 -host_arch=x64
or open x64 Native Tools Command Prompt
from start menu instead.
Generate the build system
mkdir build cd build cmake .. -G "Visual Studio 17 2022"
Build the library
cmake --build . --config=Release
Note
Currently, the oneDNN build system has limited support for multi-config generators. Build configuration is based on the CMAKE_BUILD_TYPE
option (Release
by default), and CMake must be rerun from scratch every time the build type changes to apply the new build configuration. You can choose a specific build type with the --config
option (the solution file supports both Debug
and Release
builds), but it must refer to the same build type (Release
, Debug
, etc.) as selected with the CMAKE_BUILD_TYPE
option.
Note
You can also open oneDNN.sln
to build the project from the Microsoft Visual Studio IDE.
Intel oneAPI DPC++/C++ Compiler with SYCL Runtime¶
Set up the environment for the compiler
Intel oneAPI DPC++/C++ Compiler uses the setvars.bat
script to set all required variables. The command below assumes you installed to the default folder. If you customized the installation folder, setvars.bat
is in your custom folder.
"C:\Program Files (x86)\Intel\oneAPI\setvars.bat" :: Set Intel oneAPI DPC++/C++ Compiler as default C and C++ compilers set CC=icx set CXX=icx
or open Intel oneAPI Commmand Prompt
from start menu instead.
Generate the build system
mkdir build cd build cmake .. -G Ninja ^ -DDNNL_CPU_RUNTIME=SYCL ^ -DDNNL_GPU_RUNTIME=SYCL
Warning
Intel oneAPI DPC++/C++ Compiler on Windows requires CMake v3.23 or later.
Warning
Intel oneAPI DPC++/C++ Compiler does not support CMake’s Microsoft Visual Studio generator.
Note
Open-source version of oneAPI DPC++ Compiler does not have the icx driver, use clang/clang++ instead. Open-source version of oneAPI DPC++ Compiler may not contain OpenCL runtime. In this case, you can use OPENCLROOT
CMake option or environment variable of the same name to specify path to the OpenCL runtime if it is installed in a custom location.
Build the library
cmake --build .
Validate the Build¶
After building the library, you can run a predefined test set using:
ctest
The https://uxlfoundation.github.io/oneDNN/dev_guide_build_options.html#onednn-test-set build option set during the build configuration determines determines the scope and depth of the test set. Useful values are SMOKE
(smallest set), CI
(default), and NIGHTLY
(most comprehensive). The test set can be reconfigured after the entire project has been built, and only the missing tests will be compiled.
cmake .. -DONEDNN_TEST_SET=NIGHTLY cmake --build . ctest
ctest supports filtering the test set by using the -R
option. For example, to run only the GPU tests, use:
ctest -R gpu
Another useful option is --output-on-failure
, which will print verbose output in case a test fails. Full set of options can be found here.
Build documentation¶
Install the requirements
conda env create -f ../doc/environment.yml conda activate onednn-doc
Build the documentation
cmake --build . --target doc
Install library¶
Install the library, headers, and documentation
cmake --build . --target install
The install directory is specified by the CMAKE_INSTALL_PREFIX cmake variable. When installing in the default directory, the above command needs to be run with administrative privileges using sudo
on Linux/Mac or a command prompt run as administrator on Windows.