install_requires = []
cuda_version = ''.join(
os.environ.get('CUDA_VERSION', 'unknown').split('.')[:2])
name = 'nvstrings-cuda{}'.format(cuda_version)
version = os.environ.get('GIT_DESCRIBE_TAG', '0.0.0.dev0').lstrip('v')
setup(name=name,
description='CUDA strings Python bindings',
url='https://github.com/rapidsai/custrings',
version=version,
classifiers=[
"Intended Audience :: Developers", "Programming Language :: Python",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7"
],
py_modules=['nvstrings', 'nvcategory', 'nvtext'],
author='NVIDIA Corporation',
license="Apache",
install_requires=install_requires,
ext_modules=[
CMakeExtension('pyniNVStrings', 'cpp'),
CMakeExtension('pyniNVCategory', 'cpp'),
CMakeExtension('pyniNVText', 'cpp')
],
cmdclass={'build_ext': CMakeBuildExt},
zip_safe=False)
convert_to_manylinux(name, version)
'lib64': os.path.join(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
cuda_include = locate_cuda()['include']
cython_files = ['python/cugraph/*.pyx']
extensions = [
CMakeExtension('cugraph', sourcedir='cpp'),
Extension("cugraph",
sources=cython_files,
include_dirs=[
numpy_include, cudf_include, cuda_include, 'cpp/src',
'cpp/include', '../gunrock',
'../gunrock/externals/moderngpu/include',
'../gunrock/externals/cub'
],
library_dirs=[get_python_lib(),
distutils_dir_name('lib')],
libraries=['nvgraph'],
language='c++',
extra_compile_args=['-std=c++11'])
]
from setuptools import setup
from cmake_setuptools import CMakeExtension, CMakeBuildExt
setup(name="cppderiv",
description="Compiled assortment of numerical methods to solve ODEs",
version="0.1.0beta",
ext_modules=[CMakeExtension("all")],
cmdclass={"build_ext": CMakeBuildExt})
'numpy', 'cython>=0.29<0.30',
'cudf-cuda{}>={},<{}'.format(cuda_version, cudf_version, max_cudf_version)
]
exc_list = [
'python/cuml/linear_model/linear_regression_mg.pyx',
'python/cuml/decomposition/tsvd_mg.pyx'
]
cython_files = ['python/cuml/*/*.pyx']
cuda_include_dir = '/usr/local/cuda/include'
cuda_lib_dir = "/usr/local/cuda/lib"
extensions = [
CMakeExtension('cuml', 'cuML'),
Extension("*",
sources=cython_files,
include_dirs=[
'cuML/src', 'cuML/external', 'cuML/external/ml-prims/src',
'cuML/external/ml-prims/external/cutlass',
'cuML/external/cutlass',
'cuML/external/ml-prims/external/cub', cuda_include_dir
],
library_dirs=[get_python_lib(),
distutils_dir_name('lib')],
libraries=['cuml'],
language='c++',
runtime_library_dirs=['$ORIGIN', cuda_lib_dir],
extra_compile_args=['-std=c++11'])
]
cuda_version = "".join(
os.environ.get("CUDA_VERSION", "unknown").split(".")[:2]
)
name = "nvstrings-cuda{}".format(cuda_version)
version = os.environ.get("GIT_DESCRIBE_TAG", "0.0.0.dev0").lstrip("v")
setup(
name=name,
description="CUDA strings Python bindings",
url="https://github.com/rapidsai/cudf",
version=version,
classifiers=[
"Intended Audience :: Developers",
"Programming Language :: Python",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
],
py_modules=["nvstrings", "nvcategory", "nvtext"],
author="NVIDIA Corporation",
license="Apache",
install_requires=install_requires,
ext_modules=[
CMakeExtension("pyniNVStrings", "cpp"),
CMakeExtension("pyniNVCategory", "cpp"),
CMakeExtension("pyniNVText", "cpp"),
],
cmdclass={"build_ext": CMakeBuildExt},
zip_safe=False,
)
self.outfiles.append(out)
setup(
name='flatboobs',
version=__version__,
author='Ildar Akhmetgaleev',
description='FlatBuffer reader/writer generator',
long_description=long_description,
license='MIT',
packages=find_packages(exclude=['third_party', 'docs', 'tests*', 'utils']),
zip_safe=False,
include_package_data=True,
ext_package='flatboobs',
ext_modules=[
CMakeExtension('idl'),
],
cmdclass={
'build_ext': CMakeBuildExt,
'install_headers': install_flatboobs_headers,
},
# This part is good for when the setup.py itself cannot proceed until dependencies
# in ``setup_requires`` are met. If you also need some/all of the dependencies in
# ``setup_requires`` to run your module, be sure to have them in the install_requirements to.
# setup_requires=[],
#
# You may specify additional packages for a more feature filled install.
# Example of a extras_require where one has to do:
# python -m pip install module_template (to get the default package)
# python -m pip install module_template[test] (to get additional dependencies
# to enable ``test`` functionality)
from cmake_setuptools import CMakeExtension, CMakeBuildExt
from setuptools import setup
setup(
name='lmbspecialops',
description='A python wrapper for tf to ease creation of network definitions',
version='A collection of tensorflow ops',
url='https://github.com/lmb-freiburg/lmbspecialops',
license='GPLv3.0',
author='lmb-freiburg',
author_email='',
python_requires='>=3.5',
setup_requires=['cmake-setuptools', 'tensorflow'],
ext_modules=[CMakeExtension('lmbspecialops')],
cmdclass={'build_ext': CMakeBuildExt},
package_dir={'': 'python'},
packages=['lmbspecialops'],
zip_safe=False,
)