import os import sys import glob import os.path as osp from itertools import product from setuptools import setup, find_packages import torch from torch.__config__ import parallel_info from torch.utils.cpp_extension import BuildExtension from torch.utils.cpp_extension import CppExtension, CUDAExtension, CUDA_HOME WITH_CUDA = torch.cuda.is_available() and CUDA_HOME is not None suffices = ['cpu', 'cuda'] if WITH_CUDA else ['cpu'] if os.getenv('FORCE_CUDA', '0') == '1': suffices = ['cuda', 'cpu'] if os.getenv('FORCE_ONLY_CUDA', '0') == '1': suffices = ['cuda'] if os.getenv('FORCE_ONLY_CPU', '0') == '1': suffices = ['cpu'] BUILD_DOCS = os.getenv('BUILD_DOCS', '0') == '1' WITH_METIS = True if os.getenv('WITH_METIS', '0') == '1' else False WITH_MTMETIS = True if os.getenv('WITH_MTMETIS', '0') == '1' else False def get_extensions(): extensions = [] extensions_dir = osp.join('csrc') main_files = glob.glob(osp.join(extensions_dir, '*.cpp')) for main, suffix in product(main_files, suffices): define_macros = [] libraries = [] if WITH_METIS: define_macros += [('WITH_METIS', None)] libraries += ['metis'] if WITH_MTMETIS: define_macros += [('WITH_MTMETIS', None)] define_macros += [('MTMETIS_64BIT_VERTICES', None)] define_macros += [('MTMETIS_64BIT_EDGES', None)] define_macros += [('MTMETIS_64BIT_WEIGHTS', None)] define_macros += [('MTMETIS_64BIT_PARTITIONS', None)] libraries += ['mtmetis', 'wildriver'] extra_compile_args = {'cxx': ['-O2']} extra_link_args = ['-s'] info = parallel_info() if ('backend: OpenMP' in info and 'OpenMP not found' not in info and sys.platform != 'darwin'): extra_compile_args['cxx'] += ['-DAT_PARALLEL_OPENMP'] if sys.platform == 'win32': extra_compile_args['cxx'] += ['/openmp'] else: extra_compile_args['cxx'] += ['-fopenmp'] else: print('Compiling without OpenMP...') if suffix == 'cuda': define_macros += [('WITH_CUDA', None)] nvcc_flags = os.getenv('NVCC_FLAGS', '') nvcc_flags = [] if nvcc_flags == '' else nvcc_flags.split(' ') nvcc_flags += ['-arch=sm_35', '--expt-relaxed-constexpr', '-O2'] extra_compile_args['nvcc'] = nvcc_flags if sys.platform == 'win32': extra_link_args += ['cusparse.lib'] else: extra_link_args += ['-lcusparse', '-l', 'cusparse'] name = main.split(os.sep)[-1][:-4] sources = [main] path = osp.join(extensions_dir, 'cpu', f'{name}_cpu.cpp') if osp.exists(path): sources += [path] path = osp.join(extensions_dir, 'cuda', f'{name}_cuda.cu') if suffix == 'cuda' and osp.exists(path): sources += [path] Extension = CppExtension if suffix == 'cpu' else CUDAExtension extension = Extension( f'torch_sparse._{name}_{suffix}', sources, include_dirs=[extensions_dir], define_macros=define_macros, extra_compile_args=extra_compile_args, extra_link_args=extra_link_args, libraries=libraries, ) extensions += [extension] return extensions install_requires = ['scipy'] setup_requires = [] tests_require = ['pytest', 'pytest-runner', 'pytest-cov'] setup( name='torch_sparse', version='0.6.10', author='Matthias Fey', author_email='matthias.fey@tu-dortmund.de', url='https://github.com/rusty1s/pytorch_sparse', description=('PyTorch Extension Library of Optimized Autograd Sparse ' 'Matrix Operations'), keywords=['pytorch', 'sparse', 'sparse-matrices', 'autograd'], license='MIT', python_requires='>=3.6', install_requires=install_requires, setup_requires=setup_requires, tests_require=tests_require, extras_require={'test': tests_require}, ext_modules=get_extensions() if not BUILD_DOCS else [], cmdclass={ 'build_ext': BuildExtension.with_options(no_python_abi_suffix=True, use_ninja=False) }, packages=find_packages(), )