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setup.py
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setup.py
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"""Setup vis4d cuda ops package.
Modified from Deformable DETR: https://github.com/fundamentalvision/Deformable-DETR/tree/main/models/ops
"""
import glob
import os
import torch
from setuptools import find_packages, setup
from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
# Read requirements from requirements.txt
with open("requirements.txt") as f:
requirements = f.read().splitlines()
def get_extensions():
# prevent ninja from using too many resources
try:
import psutil
num_cpu = len(psutil.Process().cpu_affinity())
cpu_use = max(4, num_cpu - 1)
except (ModuleNotFoundError, AttributeError):
cpu_use = 4
os.environ.setdefault("MAX_JOBS", str(cpu_use))
this_dir = os.path.dirname(os.path.abspath(__file__))
extensions_dir = os.path.join(this_dir, "src")
main_source = [os.path.join(extensions_dir, "vision.cpp")]
source_cpu = glob.glob(os.path.join(extensions_dir, "**", "*.cpp"))
source_cuda = glob.glob(os.path.join(extensions_dir, "**", "*.cu"))
sources = main_source + source_cpu
extension = CppExtension
extra_compile_args = {"cxx": ["-O2"]}
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__",
"-O2",
]
include_dirs = [extensions_dir]
ext_modules = [
extension(
"vis4d_cuda_ops",
sources,
include_dirs=include_dirs,
define_macros=define_macros,
extra_compile_args=extra_compile_args,
)
]
return ext_modules
setup(
name="vis4d_cuda_ops",
version="0.0.0",
author="VIS @ ETH",
author_email="[email protected]",
url="https://github.com/syscv/vis4d_cuda_ops",
description="PyTorch Wrapper for CUDA Functions of Vis4D",
packages=find_packages(exclude=("configs", "tests")),
install_requires=requirements,
ext_modules=get_extensions(),
cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
)