mirror of https://github.com/llvm/torch-mlir
132 lines
5.0 KiB
Python
132 lines
5.0 KiB
Python
# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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# See https://llvm.org/LICENSE.txt for license information.
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# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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# Also available under a BSD-style license. See LICENSE.
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# Script for generating the torch-mlir wheel.
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# ```
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# $ python setup.py bdist_wheel
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# ```
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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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# ```
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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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#
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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 TORCH_MLIR_CMAKE_BUILD_DIR env var.
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# Additionally, the TORCH_MLIR_CMAKE_BUILD_DIR_ALREADY_BUILT env var will
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# prevent this script from attempting to build the directory, and will simply
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# use the (presumed already built) directory as-is.
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#
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# The package version can be set with the TORCH_MLIR_PYTHON_PACKAGE_VERSION
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# environment variable. For example, this can be "20220330.357" for a snapshot
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# release on 2022-03-30 with build number 357.
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#
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# Implementation notes:
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# The contents of the wheel is just the contents of the `python_packages`
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# directory that our CMake build produces. We go through quite a bit of effort
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# on the CMake side to organize that directory already, so we avoid duplicating
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# that here, and just package up its contents.
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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 distutils.command.build import build as _build
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from setuptools import 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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PACKAGE_VERSION = os.environ.get("TORCH_MLIR_PYTHON_PACKAGE_VERSION") or "0.0.1"
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# Build phase discovery is unreliable. Just tell it what phases to run.
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class CustomBuild(_build):
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def run(self):
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self.run_command("build_py")
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self.run_command("build_ext")
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self.run_command("build_scripts")
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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("TORCH_MLIR_CMAKE_BUILD_DIR")
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if not cmake_build_dir:
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cmake_build_dir = os.path.abspath(
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os.path.join(target_dir, "..", "cmake_build"))
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if not os.getenv("TORCH_MLIR_CMAKE_BUILD_DIR_ALREADY_BUILT"):
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src_dir = os.path.abspath(os.path.dirname(__file__))
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llvm_dir = os.path.join(
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src_dir, "externals", "llvm-project", "llvm")
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cmake_args = [
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f"-DCMAKE_BUILD_TYPE=Release",
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f"-DPython3_EXECUTABLE={sys.executable}",
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f"-DLLVM_TARGETS_TO_BUILD=host",
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f"-DMLIR_ENABLE_BINDINGS_PYTHON=ON",
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f"-DLLVM_ENABLE_PROJECTS=mlir",
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f"-DLLVM_EXTERNAL_PROJECTS=torch-mlir;torch-mlir-dialects",
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f"-DLLVM_EXTERNAL_TORCH_MLIR_SOURCE_DIR={src_dir}",
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f"-DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR={src_dir}/externals/llvm-external-projects/torch-mlir-dialects",
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# Optimization options for building wheels.
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f"-DCMAKE_VISIBILITY_INLINES_HIDDEN=ON",
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f"-DCMAKE_C_VISIBILITY_PRESET=hidden",
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f"-DCMAKE_CXX_VISIBILITY_PRESET=hidden",
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]
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os.makedirs(cmake_build_dir, exist_ok=True)
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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", llvm_dir] +
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cmake_args, cwd=cmake_build_dir)
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subprocess.check_call(["cmake",
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"--build", ".",
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"--target", "TorchMLIRPythonModules"],
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cwd=cmake_build_dir)
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python_package_dir = os.path.join(cmake_build_dir,
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"tools", "torch-mlir", "python_packages",
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"torch_mlir")
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if os.path.exists(target_dir):
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shutil.rmtree(target_dir, ignore_errors=False, onerror=None)
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shutil.copytree(python_package_dir,
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target_dir,
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symlinks=False)
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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 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="torch-mlir",
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version=f"{PACKAGE_VERSION}",
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author="Sean Silva",
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author_email="silvasean@google.com",
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description="First-class interop between PyTorch and MLIR",
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long_description="",
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include_package_data=True,
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cmdclass={
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"build": CustomBuild,
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"built_ext": NoopBuildExtension,
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"build_py": CMakeBuild,
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},
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ext_modules=[
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CMakeExtension("torch_mlir._mlir_libs._jit_ir_importer"),
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],
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zip_safe=False,
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)
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