setup.py

#!/usr/bin/env python
# -*- coding: latin-1 -*-
from os.path import dirname, join, normpath


def search_on_path(filenames):
    """Find file on system path."""
    # http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/52224

    from os.path import exists, abspath
    from os import pathsep, environ

    search_path = environ["PATH"]

    paths = search_path.split(pathsep)
    for path in paths:
        for filename in filenames:
            if exists(join(path, filename)):
                return abspath(join(path, filename))

def get_config_schema():
    from aksetup_helper import ConfigSchema, Option, \
            IncludeDir, LibraryDir, Libraries, BoostLibraries, \
            Switch, StringListOption, make_boost_base_options

    nvcc_path = search_on_path(["nvcc", "nvcc.exe"])
    if nvcc_path is None:
        print("*** nvcc not in path. Giving up.")
        import sys
        sys.exit(1)

    cuda_root_default = normpath(join(dirname(nvcc_path), ".."))

    return ConfigSchema(make_boost_base_options() + [
        Switch("USE_SHIPPED_BOOST", True, "Use included Boost library"),

        BoostLibraries("python"),
        BoostLibraries("thread"),

        Switch("CUDA_TRACE", False, "Enable CUDA API tracing"),
        Option("CUDA_ROOT", default=cuda_root_default, help="Path to the CUDA toolkit"),
        Option("CUDA_PRETEND_VERSION", help="Assumed CUDA version, in the form 3010 for 3.1."),
        IncludeDir("CUDA", None),

        Switch("CUDA_ENABLE_GL", False, "Enable CUDA GL interoperability"),
        Switch("CUDA_ENABLE_CURAND", True, "Enable CURAND library"),

        LibraryDir("CUDADRV", ["${CUDA_ROOT}/lib", "${CUDA_ROOT}/lib64"]),
        Libraries("CUDADRV", ["cuda"]),

        LibraryDir("CUDART", ["${CUDA_ROOT}/lib", "${CUDA_ROOT}/lib64"]),
        Libraries("CUDART", ["cudart"]),

        LibraryDir("CURAND", ["${CUDA_ROOT}/lib", "${CUDA_ROOT}/lib64"]),
        Libraries("CURAND", ["curand"]),

        StringListOption("CXXFLAGS", [],
            help="Any extra C++ compiler options to include"),
        StringListOption("LDFLAGS", [],
            help="Any extra linker options to include"),
        ])





def main():
    import glob
    import sys

    from aksetup_helper import (hack_distutils, get_config, setup, \
            NumpyExtension, Extension, set_up_shipped_boost_if_requested,
            check_git_submodules)

    check_git_submodules()

    hack_distutils(debug=True)
    conf = get_config(get_config_schema())
    EXTRA_SOURCES, EXTRA_DEFINES = set_up_shipped_boost_if_requested("pycuda", conf)

    EXTRA_DEFINES["PYGPU_PACKAGE"] = "pycuda"
    EXTRA_DEFINES["PYGPU_PYCUDA"] = "1"

    LIBRARY_DIRS = conf["BOOST_LIB_DIR"] + conf["CUDADRV_LIB_DIR"]
    LIBRARIES = (conf["BOOST_PYTHON_LIBNAME"] + conf["BOOST_THREAD_LIBNAME"]
            + conf["CUDADRV_LIBNAME"])

    if not conf["CUDA_INC_DIR"]:
        conf["CUDA_INC_DIR"] = [join(conf["CUDA_ROOT"], "include")]

    if conf["CUDA_TRACE"]:
        EXTRA_DEFINES["CUDAPP_TRACE_CUDA"] = 1

    if conf["CUDA_PRETEND_VERSION"]:
        EXTRA_DEFINES["CUDAPP_PRETEND_CUDA_VERSION"] = conf["CUDA_PRETEND_VERSION"]

    INCLUDE_DIRS = ['src/cpp'] + conf["BOOST_INC_DIR"] + conf["CUDA_INC_DIR"]
    conf["USE_CUDA"] = True

    if 'darwin' in sys.platform and sys.maxsize == 2147483647:
        # The Python interpreter is running in 32 bit mode on OS X
        if "-arch" not in conf["CXXFLAGS"]:
            conf["CXXFLAGS"].extend(['-arch', 'i386', '-m32'])
        if "-arch" not in conf["LDFLAGS"]:
            conf["LDFLAGS"].extend(['-arch', 'i386', '-m32'])

    if 'darwin' in sys.platform:
        # set path to Cuda dynamic libraries,
        # as a safe substitute for DYLD_LIBRARY_PATH
        for lib_dir in conf["CUDADRV_LIB_DIR"]:
            conf["LDFLAGS"].extend(["-Xlinker", "-rpath", "-Xlinker", lib_dir])

    if conf["CUDA_ENABLE_GL"]:
        EXTRA_SOURCES.append("src/wrapper/wrap_cudagl.cpp")
        EXTRA_DEFINES["HAVE_GL"] = 1

    if conf["CUDA_ENABLE_CURAND"]:
        EXTRA_DEFINES["HAVE_CURAND"] = 1
        EXTRA_SOURCES.extend([
            "src/wrapper/wrap_curand.cpp"
            ])
        LIBRARIES.extend(conf["CURAND_LIBNAME"])
        LIBRARY_DIRS.extend(conf["CURAND_LIB_DIR"])

    ver_dic = {}
    exec(compile(open("pycuda/__init__.py").read(), "pycuda/__init__.py", 'exec'), ver_dic)

    try:
        from distutils.command.build_py import build_py_2to3 as build_py
    except ImportError:
        # 2.x
        from distutils.command.build_py import build_py

    setup(name="pycuda",
            # metadata
            version=ver_dic["VERSION_TEXT"],
            description="Python wrapper for Nvidia CUDA",
            long_description="""
            PyCUDA lets you access `Nvidia <http://nvidia.com>`_'s `CUDA
            <http://nvidia.com/cuda/>`_ parallel computation API from Python.
            Several wrappers of the CUDA API already exist-so what's so special
            about PyCUDA?

            * Object cleanup tied to lifetime of objects. This idiom, often
              called
              `RAII <http://en.wikipedia.org/wiki/Resource_Acquisition_Is_Initialization>`_
              in C++, makes it much easier to write correct, leak- and
              crash-free code. PyCUDA knows about dependencies, too, so (for
              example) it won't detach from a context before all memory
              allocated in it is also freed.

            * Convenience. Abstractions like pycuda.driver.SourceModule and
              pycuda.gpuarray.GPUArray make CUDA programming even more
              convenient than with Nvidia's C-based runtime.

            * Completeness. PyCUDA puts the full power of CUDA's driver API at
              your disposal, if you wish. It also includes code for
              interoperability with OpenGL.

            * Automatic Error Checking. All CUDA errors are automatically
              translated into Python exceptions.

            * Speed. PyCUDA's base layer is written in C++, so all the niceties
              above are virtually free.

            * Helpful `Documentation <http://documen.tician.de/pycuda>`_ and a
              `Wiki <http://wiki.tiker.net/PyCuda>`_.

            Relatedly, like-minded computing goodness for `OpenCL <http://khronos.org>`_
            is provided by PyCUDA's sister project `PyOpenCL <http://pypi.python.org/pypi/pyopencl>`_.
            """,
            author="Andreas Kloeckner",
            author_email="inform@tiker.net",
            license = "MIT",
            url="http://mathema.tician.de/software/pycuda",
            classifiers=[
              'Environment :: Console',
              'Development Status :: 5 - Production/Stable',
              'Intended Audience :: Developers',
              'Intended Audience :: Other Audience',
              'Intended Audience :: Science/Research',
              'License :: OSI Approved :: MIT License',
              'Natural Language :: English',
              'Programming Language :: C++',
              'Programming Language :: Python',
              'Topic :: Scientific/Engineering',
              'Topic :: Scientific/Engineering :: Mathematics',
              'Topic :: Scientific/Engineering :: Physics',
              'Topic :: Scientific/Engineering :: Visualization',
              ],

            # build info
            packages=["pycuda", "pycuda.gl", "pycuda.sparse", "pycuda.compyte"],

            install_requires=[
                "pytools>=2011.2",
                "pytest>=2",
                "decorator>=3.2.0"
                ],

            ext_package="pycuda",
            ext_modules=[
                NumpyExtension("_driver",
                    [
                        "src/cpp/cuda.cpp",
                        "src/cpp/bitlog.cpp",
                        "src/wrapper/wrap_cudadrv.cpp",
                        "src/wrapper/mempool.cpp",
                        ]+EXTRA_SOURCES,
                    include_dirs=INCLUDE_DIRS,
                    library_dirs=LIBRARY_DIRS,
                    libraries=LIBRARIES,
                    define_macros=list(EXTRA_DEFINES.items()),
                    extra_compile_args=conf["CXXFLAGS"],
                    extra_link_args=conf["LDFLAGS"],
                    ),
                NumpyExtension("_pvt_struct",
                    ["src/wrapper/_pycuda_struct.cpp"],
                    extra_compile_args=conf["CXXFLAGS"],
                    extra_link_args=conf["LDFLAGS"],
                    ),
                ],

            data_files=[
                ("include/pycuda", glob.glob("src/cuda/*.hpp"))
                ],

            # 2to3 invocation
            cmdclass={'build_py': build_py})


if __name__ == '__main__':
    main()