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setup.py
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import glob
import os
import os.path as osp
import sys
import torch
from setuptools import find_packages, setup
from torch.__config__ import parallel_info
from torch.utils.cpp_extension import (CUDA_HOME, BuildExtension, CppExtension,
CUDAExtension)
WITH_CUDA = torch.cuda.is_available() and CUDA_HOME is not None
if os.getenv('FORCE_CUDA', '0') == '1':
WITH_CUDA = True
if os.getenv('FORCE_ONLY_CPU', '0') == '1':
WITH_CUDA = False
def get_extensions():
Extension = CppExtension
define_macros = []
libraries = []
extra_compile_args = {'cxx': []}
extra_link_args = []
info = parallel_info()
if 'parallel backend: OpenMP' in info and 'OpenMP not found' not in info:
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 WITH_CUDA:
Extension = CUDAExtension
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']
extra_compile_args['nvcc'] = nvcc_flags
extensions_dir = osp.join('csrc')
main_files = glob.glob(osp.join(extensions_dir, '*.cpp'))
extensions = []
for main in main_files:
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 WITH_CUDA and osp.exists(path):
sources += [path]
extension = Extension(
'torch_geometric_autoscale._' + name,
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 = ['ogb', 'hydra-core']
setup_requires = ['pytest-runner']
tests_require = ['pytest', 'pytest-cov']
setup(
name='torch_geometric_autoscale',
version='0.0.0',
author='Matthias Fey',
author_email='[email protected]',
description='PyGAS: Auto-Scaling GNNs in PyTorch Geometric',
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(),
cmdclass={
'build_ext':
BuildExtension.with_options(no_python_abi_suffix=True, use_ninja=False)
},
packages=find_packages(),
)