AiOS / models /aios /ops /setup.py
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# ------------------------------------------------------------------------------------------------
# Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# ------------------------------------------------------------------------------------------------
# Modified from https://github.com/chengdazhi/Deformable-Convolution-V2-PyTorch/tree/pytorch_1.0.0
# ------------------------------------------------------------------------------------------------
import os
import glob
import torch
from torch.utils.cpp_extension import CUDA_HOME
from torch.utils.cpp_extension import CppExtension
from torch.utils.cpp_extension import CUDAExtension
from setuptools import find_packages
from setuptools import setup
requirements = ['torch', 'torchvision']
def get_extensions():
this_dir = os.path.dirname(os.path.abspath(__file__))
extensions_dir = os.path.join(this_dir, 'src')
main_file = glob.glob(os.path.join(extensions_dir, '*.cpp'))
source_cpu = glob.glob(os.path.join(extensions_dir, 'cpu', '*.cpp'))
source_cuda = glob.glob(os.path.join(extensions_dir, 'cuda', '*.cu'))
sources = main_file + source_cpu
extension = CppExtension
extra_compile_args = {'cxx': []}
define_macros = []
if torch.cuda.is_available() and CUDA_HOME is not None:
extension = CUDAExtension
sources += source_cuda
define_macros += [('WITH_CUDA', None)]
extra_compile_args['nvcc'] = [
'-DCUDA_HAS_FP16=1',
'-D__CUDA_NO_HALF_OPERATORS__',
'-D__CUDA_NO_HALF_CONVERSIONS__',
'-D__CUDA_NO_HALF2_OPERATORS__',
]
else:
raise NotImplementedError('Cuda is not availabel')
sources = [os.path.join(extensions_dir, s) for s in sources]
include_dirs = [extensions_dir]
ext_modules = [
extension(
'MultiScaleDeformableAttention',
sources,
include_dirs=include_dirs,
define_macros=define_macros,
extra_compile_args=extra_compile_args,
)
]
return ext_modules
setup(
name='MultiScaleDeformableAttention',
version='1.0',
author='Weijie Su',
url='https://github.com/fundamentalvision/Deformable-DETR',
description=
'PyTorch Wrapper for CUDA Functions of Multi-Scale Deformable Attention',
packages=find_packages(exclude=(
'configs',
'tests',
)),
ext_modules=get_extensions(),
cmdclass={'build_ext': torch.utils.cpp_extension.BuildExtension},
)