Build Python package from source on Windows using Ya Make
Note
CatBoost uses CMake-based build process since this commit. Previously Ya Make (Yandex's build system) had been used.
This page describes building using Ya Make. For building using CMake see documentation here.
The system compiler must be compatible with CUDA Toolkit if GPU support is required. Refer to the Supported Host Compilers section of the NVIDIA CUDA Compiler Driver NVCC documentation for more details. The required steps to change the system compiler depend on the OS.
Training or inference on CUDA-enabled GPUs requires NVIDIA Driver of version 450.80.02 or higher.
Environment setup
Building steps
-
Open the
catboost/catboost/python-package/catboostdirectory from the local copy of the CatBoost repository. -
Compile the packages using one of the following methods:
-
Use one of the Python versions provided by the
ya makeutility:../../../ya make -r -DUSE_ARCADIA_PYTHON=no -DUSE_SYSTEM_PYTHON=<Python version> [optional parameters] -
Use one of the Python versions installed on the machine:
../../../ya make -r -DUSE_ARCADIA_PYTHON=no -DOS_SDK=local -DPYTHON_CONFIG=<path to the required python-config> [optional parameters]
Parameter Description Parameters that define the Python version to use for compiling. Only one of the following blocks of options can be used at a time Use one of the Python versions provided by the ya makeutility-DUSE_SYSTEM_PYTHONThe version of Python to use for compiling the package on machines without installed Python. The following Python versions are supported and can be defined as values for this parameter:
- 2.7
- 3.4
- 3.5
- 3.6
Use one of the Python versions installed on the machine -DPYTHON_CONFIGDefines the path to the configuration of an installed Python version to use for compiling the package. Value examples:
python2-configfor Python 2python3-configfor Python 3/usr/bin/python2.7-config
- The configuration must be explicitly named
python3-configto successfully build the package for Python 3. - Manually redefine the following variables when encountering problems with the Python configuration:
-DPYTHON_INCLUDE-DPYTHON_LIBRARIES-DPYTHON_LDFLAGS-DPYTHON_FLAGS-DPYTHON_BIN
Optional parameters -DCUDA_ROOTThe path to CUDA. This parameter is required to support training on GPU. -DHAVE_CUDA=noDisable CUDA support. This speeds up compilation. By default, the package is built with CUDA support if CUDA Toolkit is installed.
-oThe directory to output the compiled package to. By default, the current directory is used. For example, the following command builds the package for Python 3 with training on GPU support:
../../../ya make -r -DUSE_ARCADIA_PYTHON=no -DOS_SDK=local -DPYTHON_CONFIG=python3-config -DCUDA_ROOT=/usr/local/cudaNote
Explicitly specify the
PYTHON_INCLUDEandPYTHON_LIBRARIESvariables:../../../ya make -r -DUSE_ARCADIA_PYTHON=no -DOS_SDK=local -DPYTHON_INCLUDE="/I C:/Python27/include/" -DPYTHON_LIBRARIES="C:/Python27/libs/python27.lib" -