Build Python package from source on Windows using Ya Make

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

1. Open the catboost/catboost/python-package/catboost directory from the local copy of the CatBoost repository.

2. Compile the packages using one of the following methods:

   • Use one of the Python versions provided by the ya make utility:

     ../../../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 make utility
   -DUSE_SYSTEM_PYTHON	The 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_CONFIG	Defines the path to the configuration of an installed Python version to use for compiling the package. Value examples: python2-config for Python 2 python3-config for Python 3 /usr/bin/python2.7-config The configuration must be explicitly named python3-config to 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_ROOT	The path to CUDA. This parameter is required to support training on GPU.
   -DHAVE_CUDA=no	Disable CUDA support. This speeds up compilation. By default, the package is built with CUDA support if CUDA Toolkit is installed.
   -o	The 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/cuda
   

   Note

   Explicitly specify the PYTHON_INCLUDE and PYTHON_LIBRARIES variables:

   ../../../ya make -r -DUSE_ARCADIA_PYTHON=no -DOS_SDK=local -DPYTHON_INCLUDE="/I C:/Python27/include/" -DPYTHON_LIBRARIES="C:/Python27/libs/python27.lib"