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https://github.com/alibaba/EasyCV.git
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85 lines
3.0 KiB
Python
85 lines
3.0 KiB
Python
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# ------------------------------------------------------------------------------------------------
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# Deformable DETR
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# Copyright (c) 2020 SenseTime. All Rights Reserved.
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# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
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# ------------------------------------------------------------------------------------------------
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# Modified from https://github.com/chengdazhi/Deformable-Convolution-V2-PyTorch/tree/pytorch_1.0.0
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# ------------------------------------------------------------------------------------------------
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# Copyright (c) Facebook, Inc. and its affiliates.
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# Modified by Bowen Cheng from https://github.com/fundamentalvision/Deformable-DETR
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import glob
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import os
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from setuptools import find_packages, setup
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import torch
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from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
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requirements = ['torch', 'torchvision']
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def get_extensions():
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this_dir = os.path.dirname(os.path.abspath(__file__))
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extensions_dir = os.path.join(this_dir, 'src')
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main_file = glob.glob(os.path.join(extensions_dir, '*.cpp'))
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source_cpu = glob.glob(os.path.join(extensions_dir, 'cpu', '*.cpp'))
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source_cuda = glob.glob(os.path.join(extensions_dir, 'cuda', '*.cu'))
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sources = main_file + source_cpu
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extension = CppExtension
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extra_compile_args = {'cxx': []}
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define_macros = []
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# Force cuda since torch ask for a device, not if cuda is in fact available.
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if (os.environ.get('FORCE_CUDA')
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or torch.cuda.is_available()) and CUDA_HOME is not None:
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extension = CUDAExtension
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sources += source_cuda
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define_macros += [('WITH_CUDA', None)]
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extra_compile_args['nvcc'] = [
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'-DCUDA_HAS_FP16=1',
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'-D__CUDA_NO_HALF_OPERATORS__',
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'-D__CUDA_NO_HALF_CONVERSIONS__',
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'-D__CUDA_NO_HALF2_OPERATORS__',
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]
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else:
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if CUDA_HOME is None:
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raise NotImplementedError(
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'CUDA_HOME is None. Please set environment variable CUDA_HOME.'
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)
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else:
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raise NotImplementedError(
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'No CUDA runtime is found. Please set FORCE_CUDA=1 or test it by running torch.cuda.is_available().'
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)
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sources = [os.path.join(extensions_dir, s) for s in sources]
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include_dirs = [extensions_dir]
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ext_modules = [
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extension(
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'MultiScaleDeformableAttention',
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sources,
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include_dirs=include_dirs,
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define_macros=define_macros,
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extra_compile_args=extra_compile_args,
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)
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]
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return ext_modules
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setup(
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name='MultiScaleDeformableAttention',
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version='1.0',
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author='Weijie Su',
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url='https://github.com/fundamentalvision/Deformable-DETR',
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description=
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'PyTorch Wrapper for CUDA Functions of Multi-Scale Deformable Attention',
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packages=find_packages(exclude=(
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'configs',
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'tests',
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)),
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ext_modules=get_extensions(),
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cmdclass={'build_ext': torch.utils.cpp_extension.BuildExtension},
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)
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