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setup.py
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setup.py
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import os
import re
import sys
import platform
import subprocess
import multiprocessing
import glob
import logging
from setuptools import setup, Extension
import setuptools
from setuptools.command.build_ext import build_ext
from distutils.version import LooseVersion
from lightseq import __version__
logging.basicConfig()
logger = logging.getLogger(__name__)
ENABLE_FP32 = int(os.environ.get("ENABLE_FP32", 0))
ENABLE_DEBUG = int(os.environ.get("ENABLE_DEBUG", 0))
ENABLE_NEW_ARCH = int(os.environ.get("ENABLE_NEW_ARCH", 0))
DEVICE_ARCH = str(os.environ.get("DEVICE_ARCH", "cuda")) # DEVICE_ARCH can be x86/cuda
class CMakeExtension(Extension):
def __init__(self, name, sourcedir="", *args, **kwargs):
Extension.__init__(self, name, sources=[], *args, **kwargs)
self.sourcedir = os.path.abspath(sourcedir)
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):
extdir = os.path.abspath(os.path.dirname(self.get_ext_fullpath(ext.name)))
# required for auto-detection of auxiliary "native" libs
if not extdir.endswith(os.path.sep):
extdir += os.path.sep
cmake_args = [
# fixed for lightseq.inference
"-DCMAKE_LIBRARY_OUTPUT_DIRECTORY=" + os.path.join(extdir, "lightseq"),
"-DPYTHON_EXECUTABLE=" + sys.executable,
]
cfg = "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]
cmake_args += ["-DFP16_MODE=OFF"] if ENABLE_FP32 else ["-DFP16_MODE=ON"]
cmake_args += ["-DDEBUG_MODE=ON"] if ENABLE_DEBUG else ["-DDEBUG_MODE=OFF"]
cmake_args += (
["-DUSE_NEW_ARCH=ON"] if ENABLE_NEW_ARCH else ["-DUSE_NEW_ARCH=OFF"]
)
cmake_args += ["-DDEVICE_ARCH={}".format(DEVICE_ARCH)]
cmake_args += ["-DDYNAMIC_API=OFF"]
build_args += ["--target", "lightseq"]
build_args += ["--", "-j{}".format(multiprocessing.cpu_count())]
env = os.environ.copy()
env["CXXFLAGS"] = '{} -DVERSION_INFO=\\"{}\\"'.format(
env.get("CXXFLAGS", ""), self.distribution.get_version()
)
if not os.path.exists(self.build_temp):
os.makedirs(self.build_temp)
subprocess.check_call(
["cmake", ext.sourcedir] + cmake_args, cwd=self.build_temp, env=env
)
subprocess.check_call(
["cmake", "--build", "."] + build_args, cwd=self.build_temp
)
with open("README.md", "r") as fh:
long_description = fh.read()
setup_kwargs = dict(
name="lightseq",
version=__version__,
author="Xiaohui Wang, Ying Xiong, Xian Qian, Yang Wei",
author_email=(
),
description=(
"LightSeq is a high performance library for sequence processing and generation"
),
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/bytedance/lightseq",
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: Apache Software License",
"Operating System :: POSIX :: Linux",
],
install_requires=[
"ninja",
"numpy",
"scipy",
],
python_requires=">=3.6",
cmdclass=dict(build_ext=CMakeBuild),
zip_safe=False,
packages=setuptools.find_packages(exclude=["docs", "tests"]) + ["."],
include_package_data=True,
entry_points={
"console_scripts": [
"lightseq-train = lightseq.training.cli."
"lightseq_fairseq_train_cli:ls_cli_main",
"lightseq-generate = lightseq.training.cli."
"lightseq_fairseq_generate_cli:ls_cli_main",
"lightseq-validate = lightseq.training.cli."
"lightseq_fairseq_validate_cli:ls_cli_main",
"lightseq-deepspeed = lightseq.training.cli."
"lightseq_deepspeed_cli:ls_cli_main",
"lightseq-infer = lightseq.training.cli.lightseq_infer_cli:ls_cli_main",
],
},
)
ext_modules = [CMakeExtension("inference")]
try:
setup(ext_modules=ext_modules, **setup_kwargs)
except Exception as e:
logger.warning(e)
logger.warning("The inference extension could not be compiled")
# If this new 'setup' call don't fail, the module
# will be successfully installed, without the C extension :
setup(**setup_kwargs)
logger.info("lightseq training installation succeeded.")