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setup.py
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setup.py
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import os
import os.path as osp
import sys
import glob
from setuptools import setup, find_packages
import torch
from torch.__config__ import parallel_info
from torch.utils.cpp_extension import BuildExtension
from torch.utils.cpp_extension import CppExtension, CUDAExtension, CUDA_HOME
WITH_CUDA = torch.cuda.is_available() and CUDA_HOME is not None
if os.getenv("FORCE_CUDA", "0") == "1":
WITH_CUDA = True
if os.getenv("FORCE_CPU", "0") == "1":
WITH_CUDA = False
BUILD_DOCS = os.getenv("BUILD_DOCS", "0") == "1"
def get_extensions():
Extension = CppExtension
define_macros = []
extra_compile_args = {"cxx": []}
extra_link_args = []
info = parallel_info()
if "parallel backend: OpenMP" in info and "OpenMP not found" not in info:
extra_compile_args["cxx"] += ["-DAT_PARALLEL_OPENMP"]
if sys.platform == "win32":
extra_compile_args["cxx"] += ["/openmp"]
else:
extra_compile_args["cxx"] += ["-fopenmp"]
else:
print("Compiling without OpenMP...")
if WITH_CUDA:
Extension = CUDAExtension
define_macros += [("WITH_CUDA", None)]
nvcc_flags = os.getenv("NVCC_FLAGS", "")
nvcc_flags = [] if nvcc_flags == "" else nvcc_flags.split(" ")
nvcc_flags += ["-arch=sm_35", "--expt-relaxed-constexpr"]
extra_compile_args["nvcc"] = nvcc_flags
extensions_dir = osp.join(osp.dirname(osp.abspath(__file__)), "csrc")
main_files = glob.glob(osp.join(extensions_dir, "*.cpp"))
extensions = []
for main in main_files:
name = main.split(os.sep)[-1][:-4]
sources = [main]
path = osp.join(extensions_dir, "cpu", f"{name}_cpu.cpp")
if osp.exists(path):
sources += [path]
path = osp.join(extensions_dir, "cuda", f"{name}_cuda.cu")
if WITH_CUDA and osp.exists(path):
sources += [path]
extension = Extension(
"torch_isin._" + name,
sources,
include_dirs=[extensions_dir],
define_macros=define_macros,
extra_compile_args=extra_compile_args,
extra_link_args=extra_link_args,
)
extensions += [extension]
return extensions
install_requires = []
setup_requires = ["pytest-runner"]
tests_require = ["pytest", "pytest-cov", "numpy"]
setup(
name="torch_isin",
version="1.0.2",
author="Moritz Ludolph",
author_email="mail@moritzludolph.de",
url="https://github.com/mludolph/pytoch_isin",
description=("PyTorch function similar to numpy.isin()"),
keywords=["pytorch", "isin",],
license="MIT",
python_requires=">=3.6",
install_requires=install_requires,
setup_requires=setup_requires,
tests_require=tests_require,
extras_require={"test": tests_require},
ext_modules=get_extensions() if not BUILD_DOCS else [],
cmdclass={
"build_ext": BuildExtension.with_options(
no_python_abi_suffix=True, use_ninja=False
)
},
packages=find_packages(),
)