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Refactor the parameters and usage instructions of the setup script. (#3162) 

As this
issuecomment(https://github.com/llvm/torch-mlir/pull/3021#issuecomment-2031248199)
suggests, `setup.py` should only be used for building Python packages,
so:
* disabled the develop command
* refactor the environment variable parameters
* add more doc for the usage and env var of setup.py
pull/3167/head
penguin_wwy 2024-04-15 01:40:25 +08:00 committed by GitHub
parent 45eaeaaf36
commit 9ac90ec7b2
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2 changed files with 69 additions and 36 deletions
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9
docs/development.md
View File

@ -349,6 +349,15 @@ python -m pip install -r requirements.txt
CMAKE_GENERATOR=Ninja python setup.py bdist_wheel
```
To package a completed CMake build directory,
you can use the `TORCH_MLIR_CMAKE_BUILD_DIR` and `TORCH_MLIR_CMAKE_ALREADY_BUILT` environment variables:
```shell
TORCH_MLIR_CMAKE_BUILD_DIR=build/ TORCH_MLIR_CMAKE_ALREADY_BUILT=1 python setup.py bdist_wheel
```
Note: The setup.py script is only used for building the Python packages,
not support commands like `setup.py develop` to build the development environment.
# Testing
Torch-MLIR has two types of tests:

96
setup.py
View File

@ -7,6 +7,31 @@
# ```
# $ python setup.py bdist_wheel
# ```
# Environment variables you are probably interested in:
#
# TORCH_MLIR_PYTHON_PACKAGE_VERSION:
# specify the version of torch-mlir, for example, this can be "20220330.357"
# for a snapshot release on 2022-03-30 with build number 357.
#
# TORCH_MLIR_ENABLE_LTC:
# enables the Lazy Tensor Core Backend
#
# LLVM_INSTALL_DIR:
# build the project *out-of-tree* using the built llvm-project
#
# CMAKE_BUILD_TYPE:
# specify the build type: DEBUG/RelWithDebInfo/Release
#
# TORCH_MLIR_CMAKE_BUILD_DIR:
# specify the cmake build directory
#
# TORCH_MLIR_CMAKE_ALREADY_BUILT:
# the `TORCH_MLIR_CMAKE_BUILD_DIR` directory has already been compiled,
# and the CMake compilation process will not be executed again.
# On CIs, it is often advantageous to re-use/control the CMake build directory.
#
# MAX_JOBS:
# maximum number of compile jobs we should use to compile your code
#
# It is recommended to build with Ninja and ccache. To do so, set environment
# variables by prefixing to above invocations:
@ -14,16 +39,6 @@
# CMAKE_GENERATOR=Ninja CMAKE_C_COMPILER_LAUNCHER=ccache CMAKE_CXX_COMPILER_LAUNCHER=ccache
# ```
#
# On CIs, it is often advantageous to re-use/control the CMake build directory.
# This can be set with the TORCH_MLIR_CMAKE_BUILD_DIR env var.
# Additionally, the TORCH_MLIR_CMAKE_BUILD_DIR_ALREADY_BUILT env var will
# prevent this script from attempting to build the directory, and will simply
# use the (presumed already built) directory as-is.
#
# The package version can be set with the TORCH_MLIR_PYTHON_PACKAGE_VERSION
# environment variable. For example, this can be "20220330.357" for a snapshot
# release on 2022-03-30 with build number 357.
#
# Implementation notes:
# The contents of the wheel is just the contents of the `python_packages`
# directory that our CMake build produces. We go through quite a bit of effort
@ -42,20 +57,33 @@ from setuptools.command.build_ext import build_ext
from setuptools.command.build_py import build_py
def check_env_flag(name: str, default=None) -> bool:
if "develop" in sys.argv:
print("Warning: The setup.py script is only used for building the wheel package.")
print("For initializing the development environment,"
"please use the cmake commands introduced in the docs/development.md.")
sys.exit(1)
def _check_env_flag(name: str, default=None) -> bool:
return str(os.getenv(name, default)).upper() in ["ON", "1", "YES", "TRUE", "Y"]
PACKAGE_VERSION = os.environ.get("TORCH_MLIR_PYTHON_PACKAGE_VERSION") or "0.0.1"
PACKAGE_VERSION = os.getenv("TORCH_MLIR_PYTHON_PACKAGE_VERSION", "0.0.1")
# If true, enable LTC build by default
TORCH_MLIR_ENABLE_LTC_DEFAULT = True
TORCH_MLIR_ENABLE_ONLY_MLIR_PYTHON_BINDINGS = check_env_flag(
'TORCH_MLIR_ENABLE_ONLY_MLIR_PYTHON_BINDINGS', False)
LLVM_INSTALL_DIR = os.getenv('LLVM_INSTALL_DIR', None)
TORCH_MLIR_ENABLE_LTC = _check_env_flag("TORCH_MLIR_ENABLE_LTC", True)
TORCH_MLIR_ENABLE_ONLY_MLIR_PYTHON_BINDINGS = _check_env_flag(
"TORCH_MLIR_ENABLE_ONLY_MLIR_PYTHON_BINDINGS", False
)
LLVM_INSTALL_DIR = os.getenv("LLVM_INSTALL_DIR", None)
SRC_DIR = pathlib.Path(__file__).parent.absolute()
CMAKE_BUILD_TYPE = os.getenv("CMAKE_BUILD_TYPE", "Release")
TORCH_MLIR_CMAKE_ALREADY_BUILT = _check_env_flag(
"TORCH_MLIR_CMAKE_ALREADY_BUILT", False
)
TORCH_MLIR_CMAKE_BUILD_DIR = os.getenv("TORCH_MLIR_CMAKE_BUILD_DIR")
MAX_JOBS = os.getenv("MAX_JOBS", str(multiprocessing.cpu_count()))
# Build phase discovery is unreliable. Just tell it what phases to run.
class CustomBuild(_build):
@ -77,8 +105,6 @@ class CMakeBuild(build_py):
def cmake_build(self, cmake_build_dir):
llvm_dir = str(SRC_DIR / "externals" / "llvm-project" / "llvm")
enable_ltc = check_env_flag('TORCH_MLIR_ENABLE_LTC', TORCH_MLIR_ENABLE_LTC_DEFAULT)
max_jobs = os.getenv("MAX_JOBS") or str(multiprocessing.cpu_count())
cmake_config_args = [
f"cmake",
@ -92,7 +118,7 @@ class CMakeBuild(build_py):
f"-DCMAKE_VISIBILITY_INLINES_HIDDEN=ON",
f"-DCMAKE_C_VISIBILITY_PRESET=hidden",
f"-DCMAKE_CXX_VISIBILITY_PRESET=hidden",
f"-DTORCH_MLIR_ENABLE_LTC={'ON' if enable_ltc else 'OFF'}",
f"-DTORCH_MLIR_ENABLE_LTC={'ON' if TORCH_MLIR_ENABLE_LTC else 'OFF'}",
f"-DTORCH_MLIR_ENABLE_PYTORCH_EXTENSIONS={'OFF' if TORCH_MLIR_ENABLE_ONLY_MLIR_PYTHON_BINDINGS else 'ON'}",
]
if LLVM_INSTALL_DIR:
@ -117,7 +143,7 @@ class CMakeBuild(build_py):
f"--target",
f"TorchMLIRPythonModules",
f"--",
f"-j{max_jobs}"
f"-j{MAX_JOBS}",
]
try:
subprocess.check_call(cmake_config_args, cwd=cmake_build_dir)
@ -131,22 +157,22 @@ class CMakeBuild(build_py):
print(f"cmake build: {' '.join(cmake_build_args)}")
print(f"cmake workspace: {cmake_build_dir}")
def run(self):
target_dir = self.build_lib
cmake_build_dir = os.getenv("TORCH_MLIR_CMAKE_BUILD_DIR")
cmake_build_dir = TORCH_MLIR_CMAKE_BUILD_DIR
if not cmake_build_dir:
cmake_build_dir = os.path.abspath(
os.path.join(target_dir, "..", "cmake_build"))
os.path.join(target_dir, "..", "cmake_build")
)
if LLVM_INSTALL_DIR:
python_package_dir = os.path.join(cmake_build_dir,
"python_packages",
"torch_mlir")
python_package_dir = os.path.join(
cmake_build_dir, "python_packages", "torch_mlir"
)
else:
python_package_dir = os.path.join(cmake_build_dir,
"tools", "torch-mlir", "python_packages",
"torch_mlir")
if not os.getenv("TORCH_MLIR_CMAKE_BUILD_DIR_ALREADY_BUILT"):
python_package_dir = os.path.join(
cmake_build_dir, "tools", "torch-mlir", "python_packages", "torch_mlir"
)
if not TORCH_MLIR_CMAKE_ALREADY_BUILT:
os.makedirs(cmake_build_dir, exist_ok=True)
cmake_cache_file = os.path.join(cmake_build_dir, "CMakeCache.txt")
if os.path.exists(cmake_cache_file):
@ -169,16 +195,14 @@ class CMakeBuild(build_py):
if os.path.exists(target_dir):
shutil.rmtree(target_dir, ignore_errors=False, onerror=None)
shutil.copytree(python_package_dir,
target_dir,
symlinks=False)
shutil.copytree(python_package_dir, target_dir, symlinks=False)
class CMakeExtension(Extension):
def __init__(self, name, sourcedir=""):
Extension.__init__(self, name, sources=[])
self.sourcedir = os.path.abspath(sourcedir)
def __init__(self, name, sourcedir=""):
Extension.__init__(self, name, sources=[])
self.sourcedir = os.path.abspath(sourcedir)
class NoopBuildExtension(build_ext):