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setup.py
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setup.py
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import os
import io
import sys
from setuptools import setup, find_packages
from pkg_resources import parse_version, get_distribution, DistributionNotFound
import subprocess
import distutils.command.clean
import distutils.spawn
import glob
import shutil
import torch
from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension, CUDA_HOME
from torch.utils.hipify import hipify_python
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()
def get_dist(pkgname):
try:
return get_distribution(pkgname)
except DistributionNotFound:
return None
version = '0.9.0a0'
sha = 'Unknown'
package_name = 'torchvision'
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'):
version = os.getenv('BUILD_VERSION')
elif sha != 'Unknown':
version += '+' + sha[:7]
print("Building wheel {}-{}".format(package_name, version))
def write_version_file():
version_path = os.path.join(cwd, 'torchvision', '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 torchvision.extension import _check_cuda_version\n")
f.write("if _check_cuda_version() > 0:\n")
f.write(" cuda = _check_cuda_version()\n")
write_version_file()
readme = open('README.rst').read()
pytorch_dep = 'torch'
if os.getenv('PYTORCH_VERSION'):
pytorch_dep += "==" + os.getenv('PYTORCH_VERSION')
requirements = [
'numpy',
pytorch_dep,
]
pillow_ver = ' >= 4.1.1'
pillow_req = 'pillow-simd' if get_dist('pillow-simd') is not None else 'pillow'
requirements.append(pillow_req + pillow_ver)
def find_library(name, vision_include):
this_dir = os.path.dirname(os.path.abspath(__file__))
build_prefix = os.environ.get('BUILD_PREFIX', None)
is_conda_build = build_prefix is not None
library_found = False
conda_installed = False
lib_folder = None
include_folder = None
library_header = '{0}.h'.format(name)
# Lookup in TORCHVISION_INCLUDE or in the package file
package_path = [os.path.join(this_dir, 'torchvision')]
for folder in vision_include + package_path:
candidate_path = os.path.join(folder, library_header)
library_found = os.path.exists(candidate_path)
if library_found:
break
if not library_found:
print('Running build on conda-build: {0}'.format(is_conda_build))
if is_conda_build:
# Add conda headers/libraries
if os.name == 'nt':
build_prefix = os.path.join(build_prefix, 'Library')
include_folder = os.path.join(build_prefix, 'include')
lib_folder = os.path.join(build_prefix, 'lib')
library_header_path = os.path.join(
include_folder, library_header)
library_found = os.path.isfile(library_header_path)
conda_installed = library_found
else:
# Check if using Anaconda to produce wheels
conda = distutils.spawn.find_executable('conda')
is_conda = conda is not None
print('Running build on conda: {0}'.format(is_conda))
if is_conda:
python_executable = sys.executable
py_folder = os.path.dirname(python_executable)
if os.name == 'nt':
env_path = os.path.join(py_folder, 'Library')
else:
env_path = os.path.dirname(py_folder)
lib_folder = os.path.join(env_path, 'lib')
include_folder = os.path.join(env_path, 'include')
library_header_path = os.path.join(
include_folder, library_header)
library_found = os.path.isfile(library_header_path)
conda_installed = library_found
if not library_found:
if sys.platform == 'linux':
library_found = os.path.exists('/usr/include/{0}'.format(
library_header))
library_found = library_found or os.path.exists(
'/usr/local/include/{0}'.format(library_header))
return library_found, conda_installed, include_folder, lib_folder
def get_extensions():
this_dir = os.path.dirname(os.path.abspath(__file__))
extensions_dir = os.path.join(this_dir, 'torchvision', 'csrc')
main_file = glob.glob(os.path.join(extensions_dir, '*.cpp'))
source_cpu = glob.glob(os.path.join(extensions_dir, 'cpu', '*.cpp'))
is_rocm_pytorch = False
if torch.__version__ >= '1.5':
from torch.utils.cpp_extension import ROCM_HOME
is_rocm_pytorch = True if ((torch.version.hip is not None) and (ROCM_HOME is not None)) else False
if is_rocm_pytorch:
hipify_python.hipify(
project_directory=this_dir,
output_directory=this_dir,
includes="torchvision/csrc/cuda/*",
show_detailed=True,
is_pytorch_extension=True,
)
source_cuda = glob.glob(os.path.join(extensions_dir, 'hip', '*.hip'))
# Copy over additional files
shutil.copy("torchvision/csrc/cuda/cuda_helpers.h", "torchvision/csrc/hip/cuda_helpers.h")
shutil.copy("torchvision/csrc/cuda/vision_cuda.h", "torchvision/csrc/hip/vision_cuda.h")
else:
source_cuda = glob.glob(os.path.join(extensions_dir, 'cuda', '*.cu'))
sources = main_file + source_cpu
extension = CppExtension
compile_cpp_tests = os.getenv('WITH_CPP_MODELS_TEST', '0') == '1'
if compile_cpp_tests:
test_dir = os.path.join(this_dir, 'test')
models_dir = os.path.join(this_dir, 'torchvision', 'csrc', 'models')
test_file = glob.glob(os.path.join(test_dir, '*.cpp'))
source_models = glob.glob(os.path.join(models_dir, '*.cpp'))
test_file = [os.path.join(test_dir, s) for s in test_file]
source_models = [os.path.join(models_dir, s) for s in source_models]
tests = test_file + source_models
tests_include_dirs = [test_dir, models_dir]
define_macros = []
extra_compile_args = {}
if (torch.cuda.is_available() and ((CUDA_HOME is not None) or is_rocm_pytorch)) \
or os.getenv('FORCE_CUDA', '0') == '1':
extension = CUDAExtension
sources += source_cuda
if not is_rocm_pytorch:
define_macros += [('WITH_CUDA', None)]
nvcc_flags = os.getenv('NVCC_FLAGS', '')
if nvcc_flags == '':
nvcc_flags = []
else:
nvcc_flags = nvcc_flags.split(' ')
else:
define_macros += [('WITH_HIP', None)]
nvcc_flags = []
extra_compile_args = {
'cxx': [],
'nvcc': nvcc_flags,
}
if sys.platform == 'win32':
define_macros += [('torchvision_EXPORTS', None)]
extra_compile_args.setdefault('cxx', [])
extra_compile_args['cxx'].append('/MP')
debug_mode = os.getenv('DEBUG', '0') == '1'
if debug_mode:
print("Compile in debug mode")
extra_compile_args['cxx'].append("-g")
extra_compile_args['cxx'].append("-O0")
if "nvcc" in extra_compile_args:
# we have to remove "-OX" and "-g" flag if exists and append
nvcc_flags = extra_compile_args["nvcc"]
extra_compile_args["nvcc"] = [
f for f in nvcc_flags if not ("-O" in f or "-g" in f)
]
extra_compile_args["nvcc"].append("-O0")
extra_compile_args["nvcc"].append("-g")
sources = [os.path.join(extensions_dir, s) for s in sources]
include_dirs = [extensions_dir]
ext_modules = [
extension(
'torchvision._C',
sources,
include_dirs=include_dirs,
define_macros=define_macros,
extra_compile_args=extra_compile_args,
)
]
if compile_cpp_tests:
ext_modules.append(
extension(
'torchvision._C_tests',
tests,
include_dirs=tests_include_dirs,
define_macros=define_macros,
extra_compile_args=extra_compile_args,
)
)
# ------------------- Torchvision extra extensions ------------------------
vision_include = os.environ.get('TORCHVISION_INCLUDE', None)
vision_library = os.environ.get('TORCHVISION_LIBRARY', None)
vision_include = (vision_include.split(os.pathsep)
if vision_include is not None else [])
vision_library = (vision_library.split(os.pathsep)
if vision_library is not None else [])
include_dirs += vision_include
library_dirs = vision_library
# Image reading extension
image_macros = []
image_include = [extensions_dir]
image_library = []
image_link_flags = []
# Locating libPNG
libpng = distutils.spawn.find_executable('libpng-config')
pngfix = distutils.spawn.find_executable('pngfix')
png_found = libpng is not None or pngfix is not None
print('PNG found: {0}'.format(png_found))
if png_found:
if libpng is not None:
# Linux / Mac
png_version = subprocess.run([libpng, '--version'],
stdout=subprocess.PIPE)
png_version = png_version.stdout.strip().decode('utf-8')
print('libpng version: {0}'.format(png_version))
png_version = parse_version(png_version)
if png_version >= parse_version("1.6.0"):
print('Building torchvision with PNG image support')
png_lib = subprocess.run([libpng, '--libdir'],
stdout=subprocess.PIPE)
png_lib = png_lib.stdout.strip().decode('utf-8')
if 'disabled' not in png_lib:
image_library += [png_lib]
png_include = subprocess.run([libpng, '--I_opts'],
stdout=subprocess.PIPE)
png_include = png_include.stdout.strip().decode('utf-8')
_, png_include = png_include.split('-I')
print('libpng include path: {0}'.format(png_include))
image_include += [png_include]
image_link_flags.append('png')
else:
print('libpng installed version is less than 1.6.0, '
'disabling PNG support')
png_found = False
else:
# Windows
png_lib = os.path.join(
os.path.dirname(os.path.dirname(pngfix)), 'lib')
png_include = os.path.join(os.path.dirname(
os.path.dirname(pngfix)), 'include', 'libpng16')
image_library += [png_lib]
image_include += [png_include]
image_link_flags.append('libpng')
# Locating libjpeg
(jpeg_found, jpeg_conda,
jpeg_include, jpeg_lib) = find_library('jpeglib', vision_include)
print('JPEG found: {0}'.format(jpeg_found))
image_macros += [('PNG_FOUND', str(int(png_found)))]
image_macros += [('JPEG_FOUND', str(int(jpeg_found)))]
if jpeg_found:
print('Building torchvision with JPEG image support')
image_link_flags.append('jpeg')
if jpeg_conda:
image_library += [jpeg_lib]
image_include += [jpeg_include]
image_path = os.path.join(extensions_dir, 'cpu', 'image')
image_src = glob.glob(os.path.join(image_path, '*.cpp'))
if png_found or jpeg_found:
ext_modules.append(extension(
'torchvision.image',
image_src,
include_dirs=image_include + include_dirs + [image_path],
library_dirs=image_library + library_dirs,
define_macros=image_macros,
libraries=image_link_flags,
extra_compile_args=extra_compile_args
))
ffmpeg_exe = distutils.spawn.find_executable('ffmpeg')
has_ffmpeg = ffmpeg_exe is not None
print("FFmpeg found: {}".format(has_ffmpeg))
if has_ffmpeg:
ffmpeg_bin = os.path.dirname(ffmpeg_exe)
ffmpeg_root = os.path.dirname(ffmpeg_bin)
ffmpeg_include_dir = os.path.join(ffmpeg_root, 'include')
ffmpeg_library_dir = os.path.join(ffmpeg_root, 'lib')
print("ffmpeg include path: {}".format(ffmpeg_include_dir))
print("ffmpeg library_dir: {}".format(ffmpeg_library_dir))
# TorchVision base decoder + video reader
video_reader_src_dir = os.path.join(this_dir, 'torchvision', 'csrc', 'cpu', 'video_reader')
video_reader_src = glob.glob(os.path.join(video_reader_src_dir, "*.cpp"))
base_decoder_src_dir = os.path.join(this_dir, 'torchvision', 'csrc', 'cpu', 'decoder')
base_decoder_src = glob.glob(
os.path.join(base_decoder_src_dir, "*.cpp"))
# Torchvision video API
videoapi_src_dir = os.path.join(this_dir, 'torchvision', 'csrc', 'cpu', 'video')
videoapi_src = glob.glob(os.path.join(videoapi_src_dir, "*.cpp"))
# exclude tests
base_decoder_src = [x for x in base_decoder_src if '_test.cpp' not in x]
combined_src = video_reader_src + base_decoder_src + videoapi_src
ext_modules.append(
CppExtension(
'torchvision.video_reader',
combined_src,
include_dirs=[
base_decoder_src_dir,
video_reader_src_dir,
videoapi_src_dir,
ffmpeg_include_dir,
extensions_dir,
],
library_dirs=[ffmpeg_library_dir] + library_dirs,
libraries=[
'avcodec',
'avformat',
'avutil',
'swresample',
'swscale',
],
extra_compile_args=["-std=c++14"] if os.name != 'nt' else ['/std:c++14', '/MP'],
extra_link_args=["-std=c++14" if os.name != 'nt' else '/std:c++14'],
)
)
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)
setup(
# Metadata
name=package_name,
version=version,
author='PyTorch Core Team',
author_email='[email protected]',
url='https://github.com/pytorch/vision',
description='image and video datasets and models for torch deep learning',
long_description=readme,
license='BSD',
# Package info
packages=find_packages(exclude=('test',)),
package_data={
package_name: ['*.dll', '*.dylib', '*.so']
},
zip_safe=False,
install_requires=requirements,
extras_require={
"scipy": ["scipy"],
},
ext_modules=get_extensions(),
cmdclass={
'build_ext': BuildExtension.with_options(no_python_abi_suffix=True),
'clean': clean,
}
)