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setup.py
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setup.py
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import os
import pathlib
from os.path import join as pjoin
from setuptools import setup, Extension
from setuptools.command.build_ext import build_ext
import shutil
def find_in_path(name, path):
"""Find a file in a search path"""
# Adapted fom http://code.activestate.com/recipes/52224
for dir in path.split(os.pathsep):
binpath = pjoin(dir, name)
if os.path.exists(binpath):
return os.path.abspath(binpath)
return None
def locate_cuda():
"""Locate the CUDA environment on the system
Returns a dict with keys 'home', 'nvcc', 'include', and 'lib64'
and values giving the absolute path to each directory.
Starts by looking for the CUDAHOME env variable. If not found,
everything is based on finding 'nvcc' in the PATH.
"""
# First check if the CUDAHOME env variable is in use
if 'CUDAHOME' in os.environ:
home = os.environ['CUDAHOME']
nvcc = pjoin(home, 'bin', 'nvcc')
else:
# Otherwise, search the PATH for NVCC
nvcc = find_in_path('nvcc', os.environ['PATH'])
if nvcc is None:
raise EnvironmentError('The nvcc binary could not be '
'located in your $PATH. Either add it to your path, '
'or set $CUDAHOME')
home = os.path.dirname(os.path.dirname(nvcc))
cudaconfig = {'home': home, 'nvcc': nvcc,
'include': pjoin(home, 'include'),
'lib64': pjoin(home, 'lib64')}
for k, v in iter(cudaconfig.items()):
if not os.path.exists(v):
raise EnvironmentError('The CUDA %s path could not be '
'located in %s' % (k, v))
return cudaconfig
def customize_compiler_for_nvcc(self):
"""Inject deep into distutils to customize how the dispatch
to gcc/nvcc works.
If you subclass UnixCCompiler, it's not trivial to get your subclass
injected in, and still have the right customizations (i.e.
distutils.sysconfig.customize_compiler) run on it. So instead of going
the OO route, I have this. Note, it's kindof like a wierd functional
subclassing going on.
"""
# Tell the compiler it can processes .cu
self.src_extensions.append('.cu')
# Save references to the default compiler_so and _comple methods
default_compiler_so = self.compiler_so
super = self._compile
# Now redefine the _compile method. This gets executed for each
# object but distutils doesn't have the ability to change compilers
# based on source extension: we add it.
def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts):
if os.path.splitext(src)[1] == '.cu':
# use the cuda for .cu files
self.set_executable('compiler_so', CUDA['nvcc'])
# use only a subset of the extra_postargs, which are 1-1
# translated from the extra_compile_args in the Extension class
postargs = extra_postargs['nvcc']
else:
postargs = extra_postargs['gcc']
super(obj, src, ext, cc_args, postargs, pp_opts)
# Reset the default compiler_so, which we might have changed for cuda
self.compiler_so = default_compiler_so
# Inject our redefined _compile method into the class
self._compile = _compile
class CMakeExtension(Extension):
def __init__(self, name, sources):
# don't invoke the original build_ext for this special extension
Extension.__init__(self, name, sources=sources)
class my_build_ext(build_ext):
# This class allows C extension building to fail.
def finalize_options(self):
build_ext.finalize_options(self)
# Prevent numpy from thinking it is still in its setup process:
__builtins__.__NUMPY_SETUP__ = False
import numpy
self.include_dirs.append(numpy.get_include())
def run(self):
build_ext.run(self)
def build_cmake(self, ext):
cwd = pathlib.Path().absolute()
# these dirs will be created in build_py, so if you don't have
# any python sources to bundle, the dirs will be missing
build_temp = pathlib.Path(self.build_temp)
if os.path.isdir(str(build_temp.absolute())):
shutil.rmtree(str(build_temp.absolute()))
build_temp.mkdir(parents=True)
extdir = pathlib.Path(self.get_ext_fullpath(ext.name))
# extdir.mkdir(parents=True, exist_ok=True)
# example of cmake args
config = 'Debug' if self.debug else 'Release'
cmake_args = [
# '-DCMAKE_LIBRARY_OUTPUT_DIRECTORY=' + str(extdir.parent.absolute()),
# '-DCMAKE_ARCHIVE_OUTPUT_DIRECTORY=' + str(extdir.parent.absolute()),
'-DCMAKE_BUILD_TYPE=' + config
]
# example of build args
build_args = [
'--config', config,
'--', '-j4'
]
os.chdir(str(build_temp))
self.spawn(['cmake', os.path.join(str(cwd), 'PyCudaSampling')] + cmake_args)
if not self.dry_run:
self.spawn(['cmake', '--build', '.'] + build_args)
os.chdir(str(cwd))
def build_python(self, ext):
# extdir = pathlib.Path(self.get_ext_fullpath(ext.name))
build_temp = pathlib.Path(self.build_temp)
# ext.library_dirs.append(str(extdir.parent.absolute()))
ext.library_dirs.append(str(build_temp.absolute()))
build_ext.build_extension(self, ext)
def build_extension(self, ext):
if isinstance(ext, CMakeExtension):
self.build_cmake(ext)
else:
self.build_python(ext)
CUDA = locate_cuda()
module1 = CMakeExtension('cudaSampling',
sources=[
os.path.join('PyCudaSampling', 'CMakeLists.txt'),
os.path.join('PyCudaSampling', 'cudaCommon.h'),
os.path.join('PyCudaSampling', 'cudaSampling_kernel.cu'),
os.path.join('PyCudaSampling', 'cudaSampling.cu'),
os.path.join('PyCudaSampling', 'cudaSampling.h'),
],
)
module2 = Extension('PyCudaSampling',
sources=[
os.path.join('PyCudaSampling', 'PyCudaSampling.cpp'),
],
extra_compile_args=['-fPIC'],
include_dirs = ['./PyCudaSampling', CUDA['include']],
library_dirs = [CUDA['lib64']],
libraries=['cudaSampling', 'cudart'],
)
setup(name = 'PyCudaSampling',
author = 'huangch',
author_email='huangch.tw@gmail.com',
version = '0.0.2.dev201902141822',
description="CUDA-based Image Sampling Tool.",
ext_modules=[module1, module2],
cmdclass = {'build_ext': my_build_ext},
setup_requires=['numpy'],
packages=['PyCudaSampling'],
# package_data={'PyCudaSampling': ['libcudaSampling.so']},
)