Here is the guide for the build of LightGBM CLI version.
All instructions below are aimed to compile 64-bit version of LightGBM. It is worth to compile 32-bit version only in very rare special cases of environmental limitations. 32-bit version is slow and untested, so use it on your own risk and don't forget to adjust some commands in this guide.
For the build of Python-package and R-package, please refer to Python-package and R-package folders respectively.
Also you can download artifacts of the latest successful build in master branch: .
Contents
On Windows LightGBM can be built using
- Visual Studio;
- CMake and VS Build Tools;
- CMake and MinGW.
Install Visual Studio (2015 or newer).
Download zip archive and unzip it.
Go to
LightGBM-master/windows
folder.Open
LightGBM.sln
file with Visual Studio, chooseRelease
configuration and clickBUILD
->Build Solution (Ctrl+Shift+B)
.If you have errors about Platform Toolset, go to
PROJECT
->Properties
->Configuration Properties
->General
and select the toolset installed on your machine.
The .exe
file will be in LightGBM-master/windows/x64/Release
folder.
Install Git for Windows, CMake (3.8 or higher) and VS Build Tools (VS Build Tools is not needed if Visual Studio (2015 or newer) is already installed).
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM cd LightGBM mkdir build cd build cmake -A x64 .. cmake --build . --target ALL_BUILD --config Release
The .exe
and .dll
files will be in LightGBM/Release
folder.
Install Git for Windows, CMake and MinGW-w64.
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM cd LightGBM mkdir build cd build cmake -G "MinGW Makefiles" .. mingw32-make.exe -j4
The .exe
and .dll
files will be in LightGBM/
folder.
Note: You may need to run the cmake -G "MinGW Makefiles" ..
one more time if you encounter the sh.exe was found in your PATH
error.
It is recommended to use Visual Studio for its better multithreading efficiency in Windows for many-core systems (see Question 4 and Question 8).
Also, you may want to read gcc Tips.
On Linux LightGBM can be built using CMake and gcc or Clang.
Install CMake.
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM mkdir build ; cd build cmake .. make -j4
Note: glibc >= 2.14 is required.
Also, you may want to read gcc Tips.
On macOS LightGBM can be installed using Homebrew, or can be built using CMake and Apple Clang or gcc.
Only Apple Clang version 8.1 or higher is supported.
brew install lightgbm
Install CMake (3.12 or higher):
brew install cmake
Install OpenMP:
brew install libomp
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM mkdir build ; cd build # For Mojave or newer (>=10.14) cmake \ -DOpenMP_C_FLAGS="-Xpreprocessor -fopenmp -I$(brew --prefix libomp)/include" \ -DOpenMP_C_LIB_NAMES="omp" \ -DOpenMP_CXX_FLAGS="-Xpreprocessor -fopenmp -I$(brew --prefix libomp)/include" \ -DOpenMP_CXX_LIB_NAMES="omp" \ -DOpenMP_omp_LIBRARY=$(brew --prefix libomp)/lib/libomp.dylib \ .. # For High Sierra or earlier (<= 10.13) cmake .. make -j4
Install CMake (3.2 or higher):
brew install cmake
Install gcc:
brew install gcc
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM export CXX=g++-7 CC=gcc-7 # replace "7" with version of gcc installed on your machine mkdir build ; cd build cmake .. make -j4
Also, you may want to read gcc Tips.
Refer to Docker folder.
The default build version of LightGBM is based on OpenMP. However, you can build the LightGBM without OpenMP support, but it is strongly not recommended.
On Windows version of LightGBM without OpenMP support can be built using
- Visual Studio;
- CMake and VS Build Tools;
- CMake and MinGW.
Install Visual Studio (2015 or newer).
Download zip archive and unzip it.
Go to
LightGBM-master/windows
folder.Open
LightGBM.sln
file with Visual Studio.Go to
PROJECT
->Properties
->Configuration Properties
->C/C++
->Language
and change theOpenMP Support
property toNo (/openmp-)
.Get back to the project's main screen, then choose
Release
configuration and clickBUILD
->Build Solution (Ctrl+Shift+B)
.If you have errors about Platform Toolset, go to
PROJECT
->Properties
->Configuration Properties
->General
and select the toolset installed on your machine.
The .exe
file will be in LightGBM-master/windows/x64/Release
folder.
Install Git for Windows, CMake (3.8 or higher) and VS Build Tools (VS Build Tools is not needed if Visual Studio (2015 or newer) is already installed).
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM cd LightGBM mkdir build cd build cmake -A x64 -DUSE_OPENMP=OFF .. cmake --build . --target ALL_BUILD --config Release
The .exe
and .dll
files will be in LightGBM/Release
folder.
Install Git for Windows, CMake and MinGW-w64.
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM cd LightGBM mkdir build cd build cmake -G "MinGW Makefiles" -DUSE_OPENMP=OFF .. mingw32-make.exe -j4
The .exe
and .dll
files will be in LightGBM/
folder.
Note: You may need to run the cmake -G "MinGW Makefiles" -DUSE_OPENMP=OFF ..
one more time if you encounter the sh.exe was found in your PATH
error.
On Linux version of LightGBM without OpenMP support can be built using CMake and gcc or Clang.
Install CMake.
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM mkdir build ; cd build cmake -DUSE_OPENMP=OFF .. make -j4
Note: glibc >= 2.14 is required.
On macOS version of LightGBM without OpenMP support can be built using CMake and Apple Clang or gcc.
Only Apple Clang version 8.1 or higher is supported.
Install CMake (3.12 or higher):
brew install cmake
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM mkdir build ; cd build cmake -DUSE_OPENMP=OFF .. make -j4
Install CMake (3.2 or higher):
brew install cmake
Install gcc:
brew install gcc
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM export CXX=g++-7 CC=gcc-7 # replace "7" with version of gcc installed on your machine mkdir build ; cd build cmake -DUSE_OPENMP=OFF .. make -j4
The default build version of LightGBM is based on socket. LightGBM also supports MPI. MPI is a high performance communication approach with RDMA support.
If you need to run a parallel learning application with high performance communication, you can build the LightGBM with MPI support.
On Windows MPI version of LightGBM can be built using
- MS MPI and Visual Studio;
- MS MPI, CMake and VS Build Tools.
You need to install MS MPI first. Both
msmpisdk.msi
andmsmpisetup.exe
are needed.Install Visual Studio (2015 or newer).
Download zip archive and unzip it.
Go to
LightGBM-master/windows
folder.Open
LightGBM.sln
file with Visual Studio, chooseRelease_mpi
configuration and clickBUILD
->Build Solution (Ctrl+Shift+B)
.If you have errors about Platform Toolset, go to
PROJECT
->Properties
->Configuration Properties
->General
and select the toolset installed on your machine.
The .exe
file will be in LightGBM-master/windows/x64/Release_mpi
folder.
You need to install MS MPI first. Both
msmpisdk.msi
andmsmpisetup.exe
are needed.Install Git for Windows, CMake (3.8 or higher) and VS Build Tools (VS Build Tools is not needed if Visual Studio (2015 or newer) is already installed).
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM cd LightGBM mkdir build cd build cmake -A x64 -DUSE_MPI=ON .. cmake --build . --target ALL_BUILD --config Release
The .exe
and .dll
files will be in LightGBM/Release
folder.
Note: Building MPI version by MinGW is not supported due to the miss of MPI library in it.
On Linux MPI version of LightGBM can be built using Open MPI, CMake and gcc or Clang.
Install Open MPI.
Install CMake.
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM mkdir build ; cd build cmake -DUSE_MPI=ON .. make -j4
Note: glibc >= 2.14 is required.
On macOS MPI version of LightGBM can be built using Open MPI, CMake and Apple Clang or gcc.
Only Apple Clang version 8.1 or higher is supported.
Install CMake (3.12 or higher):
brew install cmake
Install OpenMP:
brew install libomp
Install Open MPI:
brew install open-mpi
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM mkdir build ; cd build # For Mojave or newer (>=10.14) cmake \ -DUSE_MPI=ON \ -DOpenMP_C_FLAGS="-Xpreprocessor -fopenmp -I$(brew --prefix libomp)/include" \ -DOpenMP_C_LIB_NAMES="omp" \ -DOpenMP_CXX_FLAGS="-Xpreprocessor -fopenmp -I$(brew --prefix libomp)/include" \ -DOpenMP_CXX_LIB_NAMES="omp" \ -DOpenMP_omp_LIBRARY=$(brew --prefix libomp)/lib/libomp.dylib \ .. # For High Sierra or earlier (<= 10.13) cmake -DUSE_MPI=ON .. make -j4
Install CMake (3.2 or higher):
brew install cmake
Install gcc:
brew install gcc
Install Open MPI:
brew install open-mpi
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM export CXX=g++-7 CC=gcc-7 # replace "7" with version of gcc installed on your machine mkdir build ; cd build cmake -DUSE_MPI=ON .. make -j4
On Linux GPU version of LightGBM can be built using OpenCL, Boost, CMake and gcc or Clang.
The following dependencies should be installed before compilation:
OpenCL 1.2 headers and libraries, which is usually provided by GPU manufacture.
The generic OpenCL ICD packages (for example, Debian package
ocl-icd-libopencl1
andocl-icd-opencl-dev
) can also be used.libboost 1.56 or later (1.61 or later is recommended).
We use Boost.Compute as the interface to GPU, which is part of the Boost library since version 1.61. However, since we include the source code of Boost.Compute as a submodule, we only require the host has Boost 1.56 or later installed. We also use Boost.Align for memory allocation. Boost.Compute requires Boost.System and Boost.Filesystem to store offline kernel cache.
The following Debian packages should provide necessary Boost libraries:
libboost-dev
,libboost-system-dev
,libboost-filesystem-dev
.CMake 3.2 or later.
To build LightGBM GPU version, run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM mkdir build ; cd build cmake -DUSE_GPU=1 .. # if you have installed NVIDIA CUDA to a customized location, you should specify paths to OpenCL headers and library like the following: # cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. make -j4
On Windows GPU version of LightGBM can be built using OpenCL, Boost, CMake and VS Build Tools or MinGW.
If you use MinGW, the build procedure is similar to the build on Linux. Refer to GPU Windows Compilation to get more details.
Following procedure is for the MSVC (Microsoft Visual C++) build.
Install Git for Windows, CMake (3.8 or higher) and VS Build Tools (VS Build Tools is not needed if Visual Studio (2015 or newer) is installed).
Install OpenCL for Windows. The installation depends on the brand (NVIDIA, AMD, Intel) of your GPU card.
- For running on Intel, get Intel SDK for OpenCL.
- For running on AMD, get AMD APP SDK.
- For running on NVIDIA, get CUDA Toolkit.
Further reading and correspondence table: GPU SDK Correspondence and Device Targeting Table.
Install Boost Binaries.
Note: Match your Visual C++ version:
Visual Studio 2015 ->
msvc-14.0-64.exe
,Visual Studio 2017 ->
msvc-14.1-64.exe
,Visual Studio 2019 ->
msvc-14.2-64.exe
.Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM cd LightGBM mkdir build cd build cmake -A x64 -DUSE_GPU=1 -DBOOST_ROOT=C:/local/boost_1_63_0 -DBOOST_LIBRARYDIR=C:/local/boost_1_63_0/lib64-msvc-14.0 .. # if you have installed NVIDIA CUDA to a customized location, you should specify paths to OpenCL headers and library like the following: # cmake -A x64 -DUSE_GPU=1 -DBOOST_ROOT=C:/local/boost_1_63_0 -DBOOST_LIBRARYDIR=C:/local/boost_1_63_0/lib64-msvc-14.0 -DOpenCL_LIBRARY="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.0/lib/x64/OpenCL.lib" -DOpenCL_INCLUDE_DIR="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v10.0/include" .. cmake --build . --target ALL_BUILD --config Release
Note:
C:/local/boost_1_63_0
andC:/local/boost_1_63_0/lib64-msvc-14.0
are locations of your Boost binaries (assuming you've downloaded 1.63.0 version for Visual Studio 2015).
Refer to GPU Docker folder.
HDFS version of LightGBM was tested on CDH-5.14.4 cluster.
On Linux HDFS version of LightGBM can be built using CMake and gcc.
Install CMake.
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM mkdir build ; cd build cmake -DUSE_HDFS=ON .. # if you have installed HDFS to a customized location, you should specify paths to HDFS headers (hdfs.h) and library (libhdfs.so) like the following: # cmake \ # -DUSE_HDFS=ON \ # -DHDFS_LIB="/opt/cloudera/parcels/CDH-5.14.4-1.cdh5.14.4.p0.3/lib64/libhdfs.so" \ # -DHDFS_INCLUDE_DIR="/opt/cloudera/parcels/CDH-5.14.4-1.cdh5.14.4.p0.3/include/" \ # .. make -j4
By the following instructions you can generate a JAR file containing the LightGBM C API wrapped by SWIG.
On Windows Java wrapper of LightGBM can be built using Java, SWIG, CMake and VS Build Tools or MinGW.
Install Git for Windows, CMake (3.8 or higher) and VS Build Tools (VS Build Tools is not needed if Visual Studio (2015 or newer) is already installed).
Install SWIG and Java (also make sure that
JAVA_HOME
is set properly).Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM cd LightGBM mkdir build cd build cmake -A x64 -DUSE_SWIG=ON .. cmake --build . --target ALL_BUILD --config Release
The .jar
file will be in LightGBM/build
folder and the .dll
files will be in LightGBM/Release
folder.
Install Git for Windows, CMake and MinGW-w64.
Install SWIG and Java (also make sure that
JAVA_HOME
is set properly).Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM cd LightGBM mkdir build cd build cmake -G "MinGW Makefiles" -DUSE_SWIG=ON .. mingw32-make.exe -j4
The .jar
file will be in LightGBM/build
folder and the .dll
files will be in LightGBM/
folder.
Note: You may need to run the cmake -G "MinGW Makefiles" -DUSE_SWIG=ON ..
one more time if you encounter the sh.exe was found in your PATH
error.
It is recommended to use VS Build Tools (Visual Studio) for its better multithreading efficiency in Windows for many-core systems (see Question 4 and Question 8).
Also, you may want to read gcc Tips.
On Linux Java wrapper of LightGBM can be built using Java, SWIG, CMake and gcc or Clang.
Install CMake, SWIG and Java (also make sure that
JAVA_HOME
is set properly).Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM mkdir build ; cd build cmake -DUSE_SWIG=ON .. make -j4
On macOS Java wrapper of LightGBM can be built using Java, SWIG, CMake and Apple Clang or gcc.
First, install SWIG and Java (also make sure that JAVA_HOME
is set properly).
Then, either follow the Apple Clang or gcc installation instructions below.
Only Apple Clang version 8.1 or higher is supported.
Install CMake (3.12 or higher):
brew install cmake
Install OpenMP:
brew install libomp
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM mkdir build ; cd build # For Mojave or newer (>=10.14) cmake \ -DUSE_SWIG=ON \ -DAPPLE_OUTPUT_DYLIB=ON \ -DOpenMP_C_FLAGS="-Xpreprocessor -fopenmp -I$(brew --prefix libomp)/include" \ -DOpenMP_C_LIB_NAMES="omp" \ -DOpenMP_CXX_FLAGS="-Xpreprocessor -fopenmp -I$(brew --prefix libomp)/include" \ -DOpenMP_CXX_LIB_NAMES="omp" \ -DOpenMP_omp_LIBRARY=$(brew --prefix libomp)/lib/libomp.dylib \ .. # For High Sierra or earlier (<= 10.13) cmake -DUSE_SWIG=ON -DAPPLE_OUTPUT_DYLIB=ON .. make -j4
Install CMake (3.2 or higher):
brew install cmake
Install gcc:
brew install gcc
Run the following commands:
git clone --recursive https://github.com/microsoft/LightGBM ; cd LightGBM export CXX=g++-7 CC=gcc-7 # replace "7" with version of gcc installed on your machine mkdir build ; cd build cmake -DUSE_SWIG=ON -DAPPLE_OUTPUT_DYLIB=ON .. make -j4
Also, you may want to read gcc Tips.