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setup.py
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setup.py
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#!/usr/bin/env python
# Copyright (c) Malong LLC
# All rights reserved.
#
# Contact: [email protected]
#
# This source code is licensed under the LICENSE file in the root directory of this source tree.
import glob
import os
import torch
from setuptools import find_packages
from setuptools import setup
from torch.utils.cpp_extension import CUDA_HOME
from torch.utils.cpp_extension import CppExtension
from torch.utils.cpp_extension import CUDAExtension
requirements = [
"torchvision",
"ninja",
"yacs",
"cython",
"matplotlib",
"tqdm",
"opencv-python",
"scikit-image"
]
def get_extensions():
extensions_dir = os.path.join("fcos_core", "csrc")
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) or os.getenv("FORCE_CUDA", "0") == "1":
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__",
]
include_dirs = [extensions_dir]
ext_modules = [
extension(
"fcos_core._C",
sources,
include_dirs=include_dirs,
define_macros=define_macros,
extra_compile_args=extra_compile_args
)
]
return ext_modules
setup(
name="fad",
version="0.1.0",
author="Malong Technologies",
url="https://github.com/MalongTech/research-fad",
description="FAD in pytorch",
packages=find_packages(exclude=("configs", "tests", )),
install_requires=requirements,
ext_modules=get_extensions(),
cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
include_package_data=True,
)