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setup.py
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setup.py
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import setuptools
import torch
import distutils.command.clean
import shutil
import os
import glob
import subprocess
import sys
import io
from torch.utils.cpp_extension import (
CppExtension,
CUDAExtension,
CUDA_HOME,
BuildExtension,
)
def read(*names, **kwargs):
with io.open(
os.path.join(os.path.dirname(__file__), *names),
encoding=kwargs.get("encoding", "utf8"),
) as fp:
return fp.read()
version = "0.1.4"
sha = "Unknown"
package_name = "nestedtensor"
cwd = os.path.dirname(os.path.abspath(__file__))
try:
sha = (
subprocess.check_output(["git", "rev-parse", "HEAD"], cwd=cwd)
.decode("ascii")
.strip()
)
except Exception:
pass
if os.getenv("BUILD_VERSION") is not None:
version = os.getenv("BUILD_VERSION")
elif sha != "Unknown":
version = version + "+" + sha[:7]
print("Building wheel {}-{}".format(package_name, version))
def write_version_file():
version_path = os.path.join(cwd, "nestedtensor", "version.py")
with open(version_path, "w") as f:
f.write("__version__ = '{}'\n".format(version))
f.write("git_version = {}\n".format(repr(sha)))
f.write("from nestedtensor import _C\n")
f.write("if hasattr(_C, 'CUDA_VERSION'):\n")
f.write(" cuda = _C.CUDA_VERSION\n")
write_version_file()
readme = open("README.md").read()
pytorch_dep = "torch"
if os.getenv("PYTORCH_VERSION"):
pytorch_dep += "==" + os.getenv("PYTORCH_VERSION")
requirements = [
pytorch_dep,
]
def get_extensions():
extension = CppExtension
define_macros = []
extra_link_args = []
extra_compile_args = {"cxx": ["-O3", "-g", "-std=c++14"]}
if int(os.environ.get("DEBUG", 0)):
extra_compile_args = {
"cxx": ["-O0", "-fno-inline", "-g", "-std=c++14"]}
extra_link_args = ["-O0", "-g"]
if (torch.cuda.is_available() and CUDA_HOME is not None) or os.getenv(
"FORCE_CUDA", "0"
) == "1":
extension = CUDAExtension
define_macros += [("WITH_CUDA", None)]
nvcc_flags = os.getenv("NVCC_FLAGS", "")
if nvcc_flags == "":
nvcc_flags = []
else:
nvcc_flags = nvcc_flags.split(" ")
extra_compile_args["nvcc"] = nvcc_flags
if sys.platform == "win32":
define_macros += [("nestedtensor_EXPORTS", None)]
this_dir = os.path.dirname(os.path.abspath(__file__))
extensions_dir = os.path.join(this_dir, "nestedtensor", "csrc")
utils_dir = os.path.join(extensions_dir, "utils")
cuda_dir = os.path.join(this_dir, "nestedtensor", "csrc", "cuda")
extension_sources = set(
os.path.join(extensions_dir, p)
for p in glob.glob(os.path.join(extensions_dir, "*.cpp"))
)
utils_sources = set(
os.path.join(utils_dir, p) for p in glob.glob(os.path.join(utils_dir, "*.cpp"))
)
if (torch.cuda.is_available() and CUDA_HOME is not None) or os.getenv(
"FORCE_CUDA", "0"
) == "1":
cuda_sources = set(
os.path.join(cuda_dir, p) for p in glob.glob(os.path.join(cuda_dir, "*.cu"))
)
cuda_cpp_sources = set(
os.path.join(cuda_dir, p) for p in glob.glob(os.path.join(cuda_dir, "*.cpp"))
)
sources = list(set(extension_sources) | set(utils_sources) | set(cuda_sources) | set(cuda_cpp_sources))
else:
sources = list(set(extension_sources) | set(utils_sources))
include_dirs = [extensions_dir, utils_dir]
ext_modules = [
extension(
"nestedtensor._C",
sources,
include_dirs=[this_dir],
define_macros=define_macros,
extra_compile_args=extra_compile_args,
extra_link_args=extra_link_args,
)
]
return ext_modules
class clean(distutils.command.clean.clean):
def run(self):
with open(".gitignore", "r") as f:
ignores = f.read()
for wildcard in filter(None, ignores.split("\n")):
for filename in glob.glob(wildcard):
try:
os.remove(filename)
except OSError:
shutil.rmtree(filename, ignore_errors=True)
# It's an old-style class in Python 2.7...
distutils.command.clean.clean.run(self)
setuptools.setup(
name=package_name,
version=version,
author="Christian Puhrsch",
author_email="[email protected]",
description="NestedTensors for PyTorch",
long_description=readme,
long_description_content_type="text/markdown",
url="https://github.com/pytorch/nestedtensor",
packages=setuptools.find_packages(),
classifiers=[
"Programming Language :: Python :: 3",
"Operating System :: OS Independent",
],
zip_safe=True,
cmdclass={
"clean": clean,
"build_ext": BuildExtension.with_options(
no_python_abi_suffix=True,
use_ninja=os.environ.get("USE_NINJA", False)
),
},
install_requires=requirements,
ext_modules=get_extensions(),
)