File size: 3,055 Bytes
dece545 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import glob
import os
from os import path
from setuptools import find_packages, setup
import torch
from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
torch_ver = [int(x) for x in torch.__version__.split(".")[:2]]
assert torch_ver >= [1, 8], "Requires PyTorch >= 1.8"
def get_version():
init_py_path = path.join(path.abspath(path.dirname(__file__)), "mask2former", "__init__.py")
init_py = open(init_py_path, "r").readlines()
version_line = [l.strip() for l in init_py if l.startswith("__version__")][0]
version = version_line.split("=")[-1].strip().strip("'\"")
return version
# Copied from Detectron2
def get_extensions():
# skip building
if not (os.environ.get("FORCE_CUDA") or torch.cuda.is_available()) or CUDA_HOME is None:
return []
this_dir = os.path.dirname(os.path.abspath(__file__))
extensions_dir = os.path.join(this_dir, "mask2former/modeling/pixel_decoder/ops/src")
main_file = glob.glob(os.path.join(extensions_dir, "*.cpp"))
source_cpu = glob.glob(os.path.join(extensions_dir, "cpu", "*.cpp"))
source_cuda = glob.glob(os.path.join(extensions_dir, "cuda", "*.cu"))
sources = main_file + source_cpu
extension = CppExtension
extra_compile_args = {"cxx": []}
define_macros = []
# Force cuda since torch ask for a device, not if cuda is in fact available.
if (os.environ.get("FORCE_CUDA") or 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:
if CUDA_HOME is None:
raise NotImplementedError(
"CUDA_HOME is None. Please set environment variable CUDA_HOME."
)
else:
raise NotImplementedError(
"No CUDA runtime is found. Please set FORCE_CUDA=1 or test it by running torch.cuda.is_available()." # noqa
)
sources = [os.path.join(extensions_dir, s) for s in sources]
include_dirs = [extensions_dir]
ext_modules = [
extension(
"MultiScaleDeformableAttention",
sources,
include_dirs=include_dirs,
define_macros=define_macros,
extra_compile_args=extra_compile_args,
)
]
return ext_modules
setup(
name="mask2former",
version=get_version(),
author="Bowen Cheng", # Thanks Bowen!
url="https://github.com/facebook/mask2former",
description="A pip installable version of mask2former",
packages=find_packages(exclude=("configs", "tests*")),
python_requires=">=3.6",
install_requires=[
],
ext_modules=get_extensions(),
cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
)
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