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setup.py
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setup.py
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##+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
## Created by: Hang Zhang
## ECE Department, Rutgers University
## Email: [email protected]
## Copyright (c) 2017
##
## This source code is licensed under the MIT-style license found in the
## LICENSE file in the root directory of this source tree
##+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
import io
import os
import glob
import subprocess
from setuptools import setup, find_packages
import torch
from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
cwd = os.path.dirname(os.path.abspath(__file__))
version = '1.2.2'
try:
if not os.getenv('RELEASE'):
from datetime import date
today = date.today()
day = today.strftime("b%Y%m%d")
version += day
except Exception:
pass
def create_version_file():
global version, cwd
print('-- Building version ' + version)
version_path = os.path.join(cwd, 'encoding', 'version.py')
with open(version_path, 'w') as f:
f.write('"""This is encoding version file."""\n')
f.write("__version__ = '{}'\n".format(version))
requirements = [
'numpy',
'tqdm',
'nose',
'portalocker',
'torch>=1.4.0',
'torchvision>=0.5.0',
'Pillow',
'scipy',
'requests',
]
def get_extensions():
this_dir = os.path.dirname(os.path.abspath(__file__))
cpu_extensions_dir = os.path.join(this_dir, "encoding", "lib", "cpu")
gpu_extensions_dir = os.path.join(this_dir, "encoding", "lib", "gpu")
source_cpu = glob.glob(os.path.join(cpu_extensions_dir, "*.cpp"))
source_cuda = glob.glob(os.path.join(gpu_extensions_dir, "*.cpp")) + \
glob.glob(os.path.join(gpu_extensions_dir, "*.cu"))
print('c++: ', source_cpu)
print('cuda: ', source_cuda)
sources = source_cpu
extra_compile_args = {"cxx": []}
include_dirs = [cpu_extensions_dir]
ext_modules = [
CppExtension(
"encoding.cpu",
source_cpu,
include_dirs=include_dirs,
extra_compile_args=extra_compile_args,
)
]
if CUDA_HOME is not None:
define_macros = [("WITH_CUDA", None)]
include_dirs += [gpu_extensions_dir]
extra_compile_args["nvcc"] = [
"-DCUDA_HAS_FP16=1",
"-D__CUDA_NO_HALF_OPERATORS__",
"-D__CUDA_NO_HALF_CONVERSIONS__",
"-D__CUDA_NO_HALF2_OPERATORS__",
]
ext_modules.extend([
CUDAExtension(
"encoding.gpu",
source_cuda,
include_dirs=include_dirs,
define_macros=define_macros,
extra_compile_args=extra_compile_args,
)
])
return ext_modules
if __name__ == '__main__':
create_version_file()
setup(
name="torch-encoding",
version=version,
author="Hang Zhang",
author_email="[email protected]",
url="https://github.com/zhanghang1989/PyTorch-Encoding",
description="PyTorch Encoding Package",
long_description=open('README.md').read(),
long_description_content_type='text/markdown',
license='MIT',
install_requires=requirements,
packages=find_packages(exclude=["tests", "experiments"]),
package_data={ 'encoding': [
'LICENSE',
'lib/cpu/*.h',
'lib/cpu/*.cpp',
'lib/gpu/*.h',
'lib/gpu/*.cpp',
'lib/gpu/*.cu',
]},
ext_modules=get_extensions(),
cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
)