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Commit 912b5f55 authored by pkufool's avatar pkufool
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update setup.py

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...@@ -5,3 +5,6 @@ deploy* ...@@ -5,3 +5,6 @@ deploy*
**/__pycache__ **/__pycache__
**/build* **/build*
Testing* Testing*
dist/*
*egg-info*/*
LICENSE 0 → 100644
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MANIFEST.in
View file @ 912b5f55
include requirements.txt include requirements.txt
include pyproject.toml include README.md
include LICENSE* include LICENSE*
recursive-include torch_mutual_information * include CMakeLists.txt
recursive-include doc/img * recursive-include fast_rnnt *.*
recursive-include tests * recursive-include cmake *.*
global-exclude *.pyc global-exclude *.pyc
pyproject.toml deleted 100644 → 0
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[build-system]
requires = ['setuptools>=38.2.5', 'wheel', 'torch>=1.5', 'ninja']
build-backend = "setuptools.build_meta"
\ No newline at end of file
setup.py
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#!/usr/bin/env python #!/usr/bin/env python3
#
# Copyright (c) 2022 Xiaomi Corporation (author: Wei Kang)
import glob
import os import os
from setuptools import setup, find_packages import re
from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension import shutil
import sys
import setuptools
from setuptools.command.build_ext import build_ext
with open('requirements.txt') as f: cur_dir = os.path.dirname(os.path.abspath(__file__))
requirements = f.read().splitlines()
long_description = """ def cmake_extension(name, *args, **kwargs) -> setuptools.Extension:
This package implements an efficient parallel algorithm for the computation of kwargs["language"] = "c++"
mutual information between sequences with differentiable bindings to PyTorch. sources = []
return setuptools.Extension(name, sources, *args, **kwargs)
Find more details and the most up-to-date information on the project webpage: class BuildExtension(build_ext):
[TODO] def build_extension(self, ext: setuptools.extension.Extension):
""" # build/temp.linux-x86_64-3.8
build_dir = self.build_temp
os.makedirs(build_dir, exist_ok=True)
# build/lib.linux-x86_64-3.8
os.makedirs(self.build_lib, exist_ok=True)
def configure_extensions(): ft_dir = os.path.dirname(os.path.abspath(__file__))
out = [
CppExtension( cmake_args = os.environ.get("FT_CMAKE_ARGS", "")
'torch_mutual_information_cpu', make_args = os.environ.get("FT_MAKE_ARGS", "")
[ system_make_args = os.environ.get("MAKEFLAGS", "")
os.path.join('torch_mutual_information', 'mutual_information_cpu.cpp'),
], if cmake_args == "":
) cmake_args = "-DCMAKE_BUILD_TYPE=Release"
]
try: if make_args == "" and system_make_args == "":
out.append( print("For fast compilation, run:")
CUDAExtension( print('export FT_MAKE_ARGS="-j"; python setup.py install')
'torch_mutual_information_cuda',
[ if "PYTHON_EXECUTABLE" not in cmake_args:
os.path.join('torch_mutual_information', 'mutual_information_cuda.cpp'), print(f"Setting PYTHON_EXECUTABLE to {sys.executable}")
os.path.join('torch_mutual_information', 'mutual_information_cuda_kernel.cu'), cmake_args += f" -DPYTHON_EXECUTABLE={sys.executable}"
],
) build_cmd = f"""
cd {self.build_temp}
cmake {cmake_args} {ft_dir}
make {make_args} _fast_rnnt
"""
print(f"build command is:\n{build_cmd}")
ret = os.system(build_cmd)
if ret != 0:
raise Exception(
"\nBuild fast_rnnt failed. Please check the error "
"message.\n"
"You can ask for help by creating an issue on GitHub.\n"
"\nClick:\n"
"\thttps://github.com/danpovey/fast_rnnt/issues/new\n" # noqa
) )
except Exception as e: lib_so = glob.glob(f"{build_dir}/lib/*.so*")
print(f'Failed to build CUDA extension, this part of the package will not work. Reason: {str(e)}') for so in lib_so:
return out print(f"Copying {so} to {self.build_lib}/")
shutil.copy(f"{so}", f"{self.build_lib}/")
setup( # macos
name='torch_mutual_information', lib_so = glob.glob(f"{build_dir}/lib/*.dylib*")
version='1.0.2', for so in lib_so:
description='Mutual information between sequences of vectors', print(f"Copying {so} to {self.build_lib}/")
long_description=long_description, shutil.copy(f"{so}", f"{self.build_lib}/")
long_description_content_type='text/markdown',
install_requires=requirements,
python_requires='>=3.6', def read_long_description():
packages=find_packages(), with open("README.md", encoding="utf8") as f:
author='Dan Povey', readme = f.read()
license='BSD', return readme
ext_modules=configure_extensions(),
cmdclass={
'build_ext': BuildExtension def get_package_version():
with open("CMakeLists.txt") as f:
content = f.read()
latest_version = re.search(r"set\(FT_VERSION (.*)\)", content).group(1)
latest_version = latest_version.strip('"')
return latest_version
def get_requirements():
with open("requirements.txt", encoding="utf8") as f:
requirements = f.read().splitlines()
return requirements
package_name = "fast_rnnt"
with open(
"fast_rnnt/python/fast_rnnt/__init__.py", "a"
) as f:
f.write(f"__version__ = '{get_package_version()}'\n")
setuptools.setup(
name=package_name,
version=get_package_version(),
author="Dan Povey",
author_email="dpovey@gmail.com",
package_dir={
package_name: "fast_rnnt/python/fast_rnnt",
}, },
keywords=[ packages=[package_name],
'pytorch', 'sequence', 'mutual', 'information' url="https://github.com/danpovey/fast_rnnt",
long_description=read_long_description(),
long_description_content_type="text/markdown",
install_requires=get_requirements(),
ext_modules=[cmake_extension("_fast_rnnt")],
cmdclass={"build_ext": BuildExtension},
zip_safe=False,
classifiers=[
"Programming Language :: C++",
"Programming Language :: Python",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
], ],
license="Apache licensed, as found in the LICENSE file",
) )
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