triton/python/setup.py

import os
import re
import sys
import sysconfig
import platform
import subprocess
import distutils
import glob
from distutils.version import LooseVersion
from setuptools import setup, Extension, find_packages
from torch.utils.cpp_extension import include_paths, library_paths
from setuptools.command.build_ext import build_ext
from setuptools.command.test import test as TestCommand
import distutils.spawn
import torch

def find_llvm():
    versions = ["-10", "-10.0", ""]
    supported = ["llvm-config{v}".format(v=v) for v in versions]
    paths = [distutils.spawn.find_executable(cfg) for cfg in supported]
    paths = [p for p in paths if p is not None]
    if paths:
        return paths[0]
    config = distutils.spawn.find_executable("llvm-config")
    instructions = "Please install llvm-10-dev"
    if config is None:
        raise RuntimeError("Could not find llvm-config. " + instructions)
    version = os.popen("{config} --version".format(config=config)).read()
    raise RuntimeError("Version {v} not supported. ".format(v=version) + instructions)

class CMakeExtension(Extension):
    def __init__(self, name, path, sourcedir=""):
        Extension.__init__(self, name, sources=[])
        self.sourcedir = os.path.abspath(sourcedir)
        self.path = path

class CMakeBuild(build_ext):
    def run(self):
        try:
            out = subprocess.check_output(["cmake", "--version"])
        except OSError:
            raise RuntimeError("CMake must be installed to build the following extensions: " +
                               ", ".join(e.name for e in self.extensions))

        if platform.system() == "Windows":
            cmake_version = LooseVersion(re.search(r"version\s*([\d.]+)", out.decode()).group(1))
            if cmake_version < "3.1.0":
                raise RuntimeError("CMake >= 3.1.0 is required on Windows")

        for ext in self.extensions:
            self.build_extension(ext)

    def build_extension(self, ext):
        # self.debug = True
        self.debug = False
        extdir = os.path.abspath(os.path.dirname(self.get_ext_fullpath(ext.path)))
        # python directories
        python_include_dirs = distutils.sysconfig.get_python_inc()
        python_lib_dirs = distutils.sysconfig.get_config_var("LIBDIR")
        torch_include_dirs = include_paths(True)
        torch_library_dirs = library_paths(True)
        cxx11abi = str(int(torch._C._GLIBCXX_USE_CXX11_ABI))
        cmake_args = [
            "-DCMAKE_LIBRARY_OUTPUT_DIRECTORY=" + extdir,
            "-DBUILD_TUTORIALS=OFF",
            "-DBUILD_PYTHON_MODULE=ON",
            #'-DPYTHON_EXECUTABLE=' + sys.executable,
            #'-DCMAKE_VERBOSE_MAKEFILE:BOOL=ON,
            "-DPYTHON_INCLUDE_DIRS=" + ";".join([python_include_dirs] + include_paths(True)),
            "-DPYTHON_LINK_DIRS=" + ";".join(library_paths(True)),
            "-DTORCH_CXX11_ABI=" + cxx11abi,
            "-DTORCH_LIBRARIES=c10;c10_cuda;torch;torch_cuda;torch_cpu;torch_python;triton",
            "-DLLVM_CONFIG=" + find_llvm(),
        ]
        # configuration
        cfg = "Debug" if self.debug else "Release"
        build_args = ["--config", cfg]

        if platform.system() == "Windows":
            cmake_args += ["-DCMAKE_LIBRARY_OUTPUT_DIRECTORY_{}={}".format(cfg.upper(), extdir)]
            if sys.maxsize > 2**32:
                cmake_args += ["-A", "x64"]
            build_args += ["--", "/m"]
        else:
            cmake_args += ["-DCMAKE_BUILD_TYPE=" + cfg]
            build_args += ["--", "-j4"]

        env = os.environ.copy()
        if not os.path.exists(self.build_temp):
            os.makedirs(self.build_temp)
        sourcedir = os.path.abspath(os.path.join(os.path.dirname(__file__), "src"))
        subprocess.check_call(["cmake", sourcedir] + cmake_args, cwd=self.build_temp, env=env)
        subprocess.check_call(["cmake", "--build", "."] + build_args, cwd=self.build_temp)

setup(
    name="triton",
    version="1.0.0",
    author="Philippe Tillet",
    author_email="phil@openai.com",
    description="A language and compiler for custom Deep Learning operations",
    long_description="",
    packages=["triton", "triton/_C", "triton/ops", "triton/ops/blocksparse"],
    install_requires=["numpy", "torch"],
    package_data={"triton/ops": ["*.c"], "triton/ops/blocksparse": ["*.c"]},
    include_package_data=True,
    ext_modules=[CMakeExtension("triton", "triton/_C/")],
    cmdclass={"build_ext": CMakeBuild},
    zip_safe=False,
    # for PyPI
    keywords=["Compiler", "Deep Learning"],
    url="https://github.com/ptillet/triton/",
    download_url="https://github.com/ptillet/triton/archive/v0.1.tar.gz",
    classifiers=[
        "Development Status :: 3 - Alpha",  # Chose either "3 - Alpha", "4 - Beta" or "5 - Production/Stable" as the current state of your package
        "Intended Audience :: Developers",  # Define that your audience are developers
        "Topic :: Software Development :: Build Tools",
        "License :: OSI Approved :: MIT License",  # Again, pick a license
        "Programming Language :: Python :: 3.6",
    ],
)