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setup.py
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setup.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import torch
import glob
from setuptools import find_packages, setup
from torch.utils.cpp_extension import (
CppExtension,
CUDAExtension,
BuildExtension,
CUDA_HOME,
)
library_name = "extension_cpp"
def get_extensions():
debug_mode = os.getenv("DEBUG", "0") == "1"
use_cuda = os.getenv("USE_CUDA", "1") == "1"
if debug_mode:
print("Compiling in debug mode")
use_cuda = use_cuda and torch.cuda.is_available() and CUDA_HOME is not None
extension = CUDAExtension if use_cuda else CppExtension
extra_link_args = []
extra_compile_args = {
"cxx": [
"-O3" if not debug_mode else "-O0",
"-fdiagnostics-color=always",
],
"nvcc": [
"-O3" if not debug_mode else "-O0",
],
}
if debug_mode:
extra_compile_args["cxx"].append("-g")
extra_compile_args["nvcc"].append("-g")
extra_link_args.extend(["-O0", "-g"])
this_dir = os.path.dirname(os.path.curdir)
extensions_dir = os.path.join(this_dir, library_name, "csrc")
sources = list(glob.glob(os.path.join(extensions_dir, "*.cpp")))
extensions_cuda_dir = os.path.join(extensions_dir, "cuda")
cuda_sources = list(glob.glob(os.path.join(extensions_cuda_dir, "*.cu")))
if use_cuda:
sources += cuda_sources
ext_modules = [
extension(
f"{library_name}._C",
sources,
extra_compile_args=extra_compile_args,
extra_link_args=extra_link_args,
)
]
return ext_modules
setup(
name=library_name,
version="0.0.1",
packages=find_packages(),
ext_modules=get_extensions(),
install_requires=["torch"],
description="Example of PyTorch cpp and CUDA extensions",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
url="https://github.com/pytorch/extension-cpp",
cmdclass={"build_ext": BuildExtension},
)