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# coding=utf-8 | |
# Copyright 2022 The IDEA Authors. All rights reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
# ------------------------------------------------------------------------------------------------ | |
# Modified from | |
# https://github.com/fundamentalvision/Deformable-DETR/blob/main/models/ops/setup.py | |
# https://github.com/facebookresearch/detectron2/blob/main/setup.py | |
# https://github.com/open-mmlab/mmdetection/blob/master/setup.py | |
# https://github.com/Oneflow-Inc/libai/blob/main/setup.py | |
# ------------------------------------------------------------------------------------------------ | |
import glob | |
import os | |
import subprocess | |
import subprocess | |
import sys | |
def install_torch(): | |
try: | |
import torch | |
except ImportError: | |
subprocess.check_call([sys.executable, "-m", "pip", "install", "torch"]) | |
# Call the function to ensure torch is installed | |
install_torch() | |
import torch | |
from setuptools import find_packages, setup | |
from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension | |
# groundingdino version info | |
version = "0.1.0" | |
package_name = "groundingdino" | |
cwd = os.path.dirname(os.path.abspath(__file__)) | |
sha = "Unknown" | |
try: | |
sha = subprocess.check_output(["git", "rev-parse", "HEAD"], cwd=cwd).decode("ascii").strip() | |
except Exception: | |
pass | |
def write_version_file(): | |
version_path = os.path.join(cwd, "groundingdino", "version.py") | |
with open(version_path, "w") as f: | |
f.write(f"__version__ = '{version}'\n") | |
# f.write(f"git_version = {repr(sha)}\n") | |
requirements = ["torch", "torchvision"] | |
torch_ver = [int(x) for x in torch.__version__.split(".")[:2]] | |
def get_extensions(): | |
this_dir = os.path.dirname(os.path.abspath(__file__)) | |
extensions_dir = os.path.join(this_dir, "groundingdino", "models", "GroundingDINO", "csrc") | |
main_source = os.path.join(extensions_dir, "vision.cpp") | |
sources = glob.glob(os.path.join(extensions_dir, "**", "*.cpp")) | |
source_cuda = glob.glob(os.path.join(extensions_dir, "**", "*.cu")) + glob.glob( | |
os.path.join(extensions_dir, "*.cu") | |
) | |
sources = [main_source] + sources | |
extension = CppExtension | |
extra_compile_args = {"cxx": []} | |
define_macros = [] | |
if CUDA_HOME is not None and (torch.cuda.is_available() or "TORCH_CUDA_ARCH_LIST" in os.environ): | |
print("Compiling with CUDA") | |
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: | |
print("Compiling without CUDA") | |
define_macros += [("WITH_HIP", None)] | |
extra_compile_args["nvcc"] = [] | |
return None | |
sources = [os.path.join(extensions_dir, s) for s in sources] | |
include_dirs = [extensions_dir] | |
ext_modules = [ | |
extension( | |
"groundingdino._C", | |
sources, | |
include_dirs=include_dirs, | |
define_macros=define_macros, | |
extra_compile_args=extra_compile_args, | |
) | |
] | |
return ext_modules | |
def parse_requirements(fname="requirements.txt", with_version=True): | |
"""Parse the package dependencies listed in a requirements file but strips | |
specific versioning information. | |
Args: | |
fname (str): path to requirements file | |
with_version (bool, default=False): if True include version specs | |
Returns: | |
List[str]: list of requirements items | |
CommandLine: | |
python -c "import setup; print(setup.parse_requirements())" | |
""" | |
import re | |
import sys | |
from os.path import exists | |
require_fpath = fname | |
def parse_line(line): | |
"""Parse information from a line in a requirements text file.""" | |
if line.startswith("-r "): | |
# Allow specifying requirements in other files | |
target = line.split(" ")[1] | |
for info in parse_require_file(target): | |
yield info | |
else: | |
info = {"line": line} | |
if line.startswith("-e "): | |
info["package"] = line.split("#egg=")[1] | |
elif "@git+" in line: | |
info["package"] = line | |
else: | |
# Remove versioning from the package | |
pat = "(" + "|".join([">=", "==", ">"]) + ")" | |
parts = re.split(pat, line, maxsplit=1) | |
parts = [p.strip() for p in parts] | |
info["package"] = parts[0] | |
if len(parts) > 1: | |
op, rest = parts[1:] | |
if ";" in rest: | |
# Handle platform specific dependencies | |
# http://setuptools.readthedocs.io/en/latest/setuptools.html#declaring-platform-specific-dependencies | |
version, platform_deps = map(str.strip, rest.split(";")) | |
info["platform_deps"] = platform_deps | |
else: | |
version = rest # NOQA | |
info["version"] = (op, version) | |
yield info | |
def parse_require_file(fpath): | |
with open(fpath, "r") as f: | |
for line in f.readlines(): | |
line = line.strip() | |
if line and not line.startswith("#"): | |
for info in parse_line(line): | |
yield info | |
def gen_packages_items(): | |
if exists(require_fpath): | |
for info in parse_require_file(require_fpath): | |
parts = [info["package"]] | |
if with_version and "version" in info: | |
parts.extend(info["version"]) | |
if not sys.version.startswith("3.4"): | |
# apparently package_deps are broken in 3.4 | |
platform_deps = info.get("platform_deps") | |
if platform_deps is not None: | |
parts.append(";" + platform_deps) | |
item = "".join(parts) | |
yield item | |
packages = list(gen_packages_items()) | |
return packages | |
if __name__ == "__main__": | |
print(f"Building wheel {package_name}-{version}") | |
with open("LICENSE", "r", encoding="utf-8") as f: | |
license = f.read() | |
write_version_file() | |
setup( | |
name="groundingdino", | |
version="0.1.0", | |
author="International Digital Economy Academy, Shilong Liu", | |
url="https://github.com/IDEA-Research/GroundingDINO", | |
description="open-set object detector", | |
license=license, | |
install_requires=parse_requirements("requirements.txt"), | |
packages=find_packages( | |
exclude=( | |
"configs", | |
"tests", | |
) | |
), | |
ext_modules=get_extensions(), | |
cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension}, | |
) | |