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setup.py
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setup.py
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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 shutil
import subprocess
from os import path
from setuptools import find_packages, setup
from typing import List
import torch
from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
# detrex version info
version = "0.3.0"
package_name = "detrex"
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, "detrex", "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_detrex_configs() -> List[str]:
"""
Return a list of configs to include in package for model zoo.
"""
source_configs_dir = path.join(path.dirname(path.realpath(__file__)), "configs")
destination = path.join(path.dirname(path.realpath(__file__)), "detrex", "config", "configs")
# Symlink the config directory inside package to have a cleaner pip install.
# Remove stale symlink/directory from a previous build.
if path.exists(source_configs_dir):
if path.islink(destination):
os.unlink(destination)
elif path.isdir(destination):
shutil.rmtree(destination)
if not path.exists(destination):
try:
os.symlink(source_configs_dir, destination)
except OSError:
# Fall back to copying if symlink fails: ex. on Windows.
shutil.copytree(source_configs_dir, destination)
config_paths = glob.glob("configs/**/*.py", recursive=True)
return config_paths
def get_extensions():
this_dir = os.path.dirname(os.path.abspath(__file__))
extensions_dir = os.path.join(this_dir, "detrex", "layers", "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 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:
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(
"detrex._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="detrex",
version="0.3.0",
author="International Digital Economy Academy",
url="https://github.com/rentainhe/detrex",
description="IDEA open source toolbox for transformer-based instance recognition tasks",
license=license,
install_requires=parse_requirements("requirements.txt"),
packages=find_packages(
exclude=(
"configs",
"tests",
)
),
package_data={"detrex.config": get_detrex_configs()},
ext_modules=get_extensions(),
cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
)