mirror of https://github.com/llvm/torch-mlir
Add basic setup.py file for the npcomp-core package. (#256)
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@ -9,3 +9,8 @@ install-mlir
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__pycache__
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__pycache__
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.pytype
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.pytype
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# Pip artifacts.
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*.egg-info
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*.whl
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@ -0,0 +1,12 @@
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[build-system]
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requires = [
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"setuptools>=42",
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"wheel",
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"cmake>=3.12",
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# MLIR build depends.
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"numpy",
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# Version 2.7.0 excluded: https://github.com/pybind/pybind11/issues/3136
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"pybind11>=2.6.0,!=2.7.0",
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"PyYAML",
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]
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build-backend = "setuptools.build_meta"
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@ -0,0 +1,98 @@
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# Build/install the npcomp-core python package.
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# Note that this includes a relatively large build of LLVM (~2400 C++ files)
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# and can take a considerable amount of time, especially with defaults.
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# To install:
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# pip install . --use-feature=in-tree-build
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# To build a wheel:
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# pip wheel . --use-feature=in-tree-build
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#
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# It is recommended to build with Ninja and ccache. To do so, set environment
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# variables by prefixing to above invocations:
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# CMAKE_GENERATOR=Ninja CMAKE_C_COMPILER_LAUNCHER=ccache CMAKE_CXX_COMPILER_LAUNCHER=ccache
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#
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# On CIs, it is often advantageous to re-use/control the CMake build directory.
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# This can be set with the NPCOMP_CMAKE_BUILD_DIR env var.
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import os
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import shutil
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import subprocess
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import sys
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from setuptools import find_packages, setup, Extension
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from setuptools.command.build_ext import build_ext
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from setuptools.command.build_py import build_py
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class CMakeExtension(Extension):
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def __init__(self, name, sourcedir=""):
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Extension.__init__(self, name, sources=[])
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self.sourcedir = os.path.abspath(sourcedir)
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class CMakeBuild(build_py):
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def run(self):
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target_dir = self.build_lib
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cmake_build_dir = os.getenv("NPCOMP_CMAKE_BUILD_DIR")
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if not cmake_build_dir:
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cmake_build_dir = os.path.join(target_dir, "..", "cmake_build")
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cmake_install_dir = os.path.join(target_dir, "..", "cmake_install")
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src_dir = os.path.abspath(os.path.dirname(__file__))
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cfg = "Release"
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cmake_args = [
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"-DCMAKE_INSTALL_PREFIX={}".format(os.path.abspath(cmake_install_dir)),
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"-DPython3_EXECUTABLE={}".format(sys.executable),
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"-DNPCOMP_VERSION_INFO={}".format(self.distribution.get_version()),
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"-DCMAKE_BUILD_TYPE={}".format(cfg), # not used on MSVC, but no harm
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"-DLLVM_TARGETS_TO_BUILD=host",
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]
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build_args = []
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os.makedirs(cmake_build_dir, exist_ok=True)
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if os.path.exists(cmake_install_dir):
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shutil.rmtree(cmake_install_dir)
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cmake_cache_file = os.path.join(cmake_build_dir, "CMakeCache.txt")
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if os.path.exists(cmake_cache_file):
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os.remove(cmake_cache_file)
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subprocess.check_call(["cmake", src_dir] + cmake_args, cwd=cmake_build_dir)
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subprocess.check_call(["cmake", "--build", ".", "--target", "install"] +
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build_args,
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cwd=cmake_build_dir)
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shutil.copytree(os.path.join(cmake_install_dir, "python_packages",
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"npcomp_core"),
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target_dir,
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symlinks=False,
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dirs_exist_ok=True)
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class NoopBuildExtension(build_ext):
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def build_extension(self, ext):
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pass
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setup(
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name="npcomp-core",
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version="0.0.1",
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author="Stella Laurenzo",
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author_email="stellaraccident@gmail.com",
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description="NPComp Core",
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long_description="",
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ext_modules=[
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CMakeExtension("mlir._mlir_libs._mlir"),
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CMakeExtension("mlir._mlir_libs._npcomp"),
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# TODO: We don't really want these but they are along for the ride.
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CMakeExtension("mlir._mlir_libs._mlirAsyncPasses"),
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CMakeExtension("mlir._mlir_libs._mlirConversions"),
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CMakeExtension("mlir._mlir_libs._mlirTransforms"),
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CMakeExtension("mlir._mlir_libs._mlirSparseTensorPasses"),
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CMakeExtension("mlir._mlir_libs._mlirAllPassesRegisration"),
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CMakeExtension("mlir._mlir_libs._mlirLinalgPasses"),
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CMakeExtension("mlir._mlir_libs._mlirGPUPasses"),
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],
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cmdclass={
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"built_ext": NoopBuildExtension,
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"build_py": CMakeBuild,
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},
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zip_safe=False,
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packages=find_packages(),
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)
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