# ------------------------------------------------------------------------------------------------
# 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, "detr/src")
    print(f"extensions_dir: {extensions_dir}")

    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"))

    print(f"main_file: {main_file}")
    print(f"source_cpu: {source_cpu}")
    print(f"source_cuda: {source_cuda}")

    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(
            "detr._C",
            sources,
            include_dirs=include_dirs,
            define_macros=define_macros,
            extra_compile_args=extra_compile_args,
        )
    ]
    return ext_modules

if __name__ == '__main__':
    setup(
        name="detr",
        url="https://github.com/facebookresearch/d2go/detr",
        license='Apache-2.0',
        packages=find_packages(exclude=["test_all.py"]),
        package_data={ 'detr': ['LICENSE']},
        ext_modules=get_extensions(),
        cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
    )