def hotpatch_var(var):
if check_env_flag('NO_' + var):
os.environ['USE_' + var] = '0'
elif check_negative_env_flag('NO_' + var):
os.environ['USE_' + var] = '1'
elif check_env_flag('WITH_' + var):
os.environ['USE_' + var] = '1'
elif check_negative_env_flag('WITH_' + var):
os.environ['USE_' + var] = '0'
def hotpatch_var(var, prefix='USE_'):
if check_env_flag('NO_' + var):
os.environ[prefix + var] = '0'
elif check_negative_env_flag('NO_' + var):
os.environ[prefix + var] = '1'
elif check_env_flag('WITH_' + var):
os.environ[prefix + var] = '1'
elif check_negative_env_flag('WITH_' + var):
os.environ[prefix + var] = '0'
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.mkldnn import (USE_MKLDNN, MKLDNN_LIBRARY,
MKLDNN_LIB_DIR, MKLDNN_INCLUDE_DIR)
from tools.setup_helpers.nnpack import USE_NNPACK
from tools.setup_helpers.qnnpack import USE_QNNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
from tools.setup_helpers.dist_check import USE_DISTRIBUTED, \
USE_GLOO_IBVERBS
################################################################################
# Parameters parsed from environment
################################################################################
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
BUILD_PYTORCH = check_env_flag('BUILD_PYTORCH')
USE_CUDA_STATIC_LINK = check_env_flag('USE_CUDA_STATIC_LINK')
RERUN_CMAKE = True
NUM_JOBS = multiprocessing.cpu_count()
max_jobs = os.getenv("MAX_JOBS")
if max_jobs is not None:
NUM_JOBS = min(NUM_JOBS, int(max_jobs))
ONNX_NAMESPACE = os.getenv("ONNX_NAMESPACE")
if not ONNX_NAMESPACE:
import importlib
from tools.setup_helpers.env import check_env_flag
from tools.setup_helpers.cuda import WITH_CUDA, CUDA_HOME, CUDA_VERSION
from tools.setup_helpers.cudnn import (WITH_CUDNN, CUDNN_LIBRARY,
CUDNN_LIB_DIR, CUDNN_INCLUDE_DIR)
from tools.setup_helpers.nccl import WITH_NCCL, WITH_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.nnpack import WITH_NNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
from tools.setup_helpers.dist_check import WITH_DISTRIBUTED, \
WITH_DISTRIBUTED_MW, WITH_GLOO_IBVERBS
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
NUM_JOBS = multiprocessing.cpu_count()
max_jobs = os.getenv("MAX_JOBS")
if max_jobs is not None:
NUM_JOBS = min(NUM_JOBS, int(max_jobs))
try:
import ninja
WITH_NINJA = True
except ImportError:
WITH_NINJA = False
from tools.setup_helpers.env import check_env_flag
from tools.setup_helpers.cuda import WITH_CUDA, CUDA_HOME, CUDA_VERSION
from tools.setup_helpers.cudnn import (WITH_CUDNN, CUDNN_LIBRARY,
CUDNN_LIB_DIR, CUDNN_INCLUDE_DIR)
from tools.setup_helpers.nccl import WITH_NCCL, WITH_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.mkldnn import (WITH_MKLDNN, MKLDNN_LIBRARY,
MKLDNN_LIB_DIR, MKLDNN_INCLUDE_DIR)
from tools.setup_helpers.nnpack import WITH_NNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
from tools.setup_helpers.dist_check import WITH_DISTRIBUTED, \
WITH_DISTRIBUTED_MW, WITH_GLOO_IBVERBS
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
NUM_JOBS = multiprocessing.cpu_count()
max_jobs = os.getenv("MAX_JOBS")
if max_jobs is not None:
NUM_JOBS = min(NUM_JOBS, int(max_jobs))
try:
import ninja
WITH_NINJA = True
except ImportError:
WITH_NINJA = False
import glob
from tools.setup_helpers.env import check_env_flag
from tools.setup_helpers.cuda import WITH_CUDA, CUDA_HOME, CUDA_VERSION
from tools.setup_helpers.cudnn import (WITH_CUDNN, CUDNN_LIBRARY,
CUDNN_LIB_DIR, CUDNN_INCLUDE_DIR)
from tools.setup_helpers.nccl import WITH_NCCL, WITH_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.nnpack import WITH_NNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
from tools.setup_helpers.dist_check import WITH_DISTRIBUTED, \
WITH_DISTRIBUTED_MW, WITH_GLOO_IBVERBS
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
NUM_JOBS = multiprocessing.cpu_count()
max_jobs = os.getenv("MAX_JOBS")
if max_jobs is not None:
NUM_JOBS = min(NUM_JOBS, int(max_jobs))
try:
import ninja
WITH_NINJA = True
except ImportError:
WITH_NINJA = False
import sys
import os
import json
import glob
from tools.setup_helpers.env import check_env_flag
from tools.setup_helpers.cuda import WITH_CUDA, CUDA_HOME, CUDA_VERSION
from tools.setup_helpers.cudnn import WITH_CUDNN, CUDNN_LIB_DIR, CUDNN_INCLUDE_DIR
from tools.setup_helpers.nccl import WITH_NCCL, WITH_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.split_types import split_types
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
WITH_DISTRIBUTED = not check_env_flag('NO_DISTRIBUTED') and not IS_WINDOWS
WITH_DISTRIBUTED_MW = WITH_DISTRIBUTED and check_env_flag('WITH_DISTRIBUTED_MW')
try:
import ninja
WITH_NINJA = True
except ImportError:
WITH_NINJA = False
if not WITH_NINJA:
from tools.setup_helpers.nccl import WITH_NCCL, WITH_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.mkldnn import (WITH_MKLDNN, MKLDNN_LIBRARY,
MKLDNN_LIB_DIR, MKLDNN_INCLUDE_DIR)
from tools.setup_helpers.nnpack import WITH_NNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
from tools.setup_helpers.dist_check import WITH_DISTRIBUTED, \
WITH_DISTRIBUTED_MW, WITH_GLOO_IBVERBS, WITH_C10D
################################################################################
# Parameters parsed from environment
################################################################################
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
WITH_ROCM = check_env_flag('WITH_ROCM')
FULL_CAFFE2 = check_env_flag('FULL_CAFFE2')
BUILD_PYTORCH = check_env_flag('BUILD_PYTORCH')
NUM_JOBS = multiprocessing.cpu_count()
max_jobs = os.getenv("MAX_JOBS")
if max_jobs is not None:
NUM_JOBS = min(NUM_JOBS, int(max_jobs))
# Ninja
try:
import setuptools.command.install
import setuptools.command.develop
import setuptools.command.build_py
import distutils.unixccompiler
import distutils.command.build
import distutils.command.clean
import platform
import subprocess
import shutil
import sys
import os
from tools.setup_helpers.env import check_env_flag
from tools.setup_helpers.cuda import WITH_CUDA, CUDA_HOME
from tools.setup_helpers.cudnn import WITH_CUDNN, CUDNN_LIB_DIR, CUDNN_INCLUDE_DIR
DEBUG = check_env_flag('DEBUG')
WITH_DISTRIBUTED = check_env_flag('WITH_DISTRIBUTED')
WITH_DISTRIBUTED_MW = WITH_DISTRIBUTED and check_env_flag('WITH_DISTRIBUTED_MW')
################################################################################
# Monkey-patch setuptools to compile in parallel
################################################################################
original_link = distutils.unixccompiler.UnixCCompiler.link
def parallelCCompile(self, sources, output_dir=None, macros=None,
include_dirs=None, debug=0, extra_preargs=None,
extra_postargs=None, depends=None):
# those lines are copied from distutils.ccompiler.CCompiler directly
macros, objects, extra_postargs, pp_opts, build = self._setup_compile(
output_dir, macros, include_dirs, sources, depends, extra_postargs)
from tools.setup_helpers.nccl import USE_NCCL, USE_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.mkldnn import (USE_MKLDNN, MKLDNN_LIBRARY,
MKLDNN_LIB_DIR, MKLDNN_INCLUDE_DIR)
from tools.setup_helpers.nnpack import USE_NNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
from tools.setup_helpers.dist_check import USE_DISTRIBUTED, \
USE_DISTRIBUTED_MW, USE_GLOO_IBVERBS, USE_C10D
################################################################################
# Parameters parsed from environment
################################################################################
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
FULL_CAFFE2 = check_env_flag('FULL_CAFFE2')
BUILD_PYTORCH = check_env_flag('BUILD_PYTORCH')
NUM_JOBS = multiprocessing.cpu_count()
max_jobs = os.getenv("MAX_JOBS")
if max_jobs is not None:
NUM_JOBS = min(NUM_JOBS, int(max_jobs))
ONNX_NAMESPACE = os.getenv("ONNX_NAMESPACE")
if not ONNX_NAMESPACE:
ONNX_NAMESPACE = "onnx_torch"
import os
import json
import glob
from tools.setup_helpers.env import check_env_flag
from tools.setup_helpers.cuda import WITH_CUDA, CUDA_HOME, CUDA_VERSION
from tools.setup_helpers.cudnn import WITH_CUDNN, CUDNN_LIB_DIR, CUDNN_INCLUDE_DIR
from tools.setup_helpers.nccl import WITH_NCCL, WITH_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.nnpack import WITH_NNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.split_types import split_types
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
WITH_DISTRIBUTED = not check_env_flag('NO_DISTRIBUTED') and not IS_WINDOWS
WITH_DISTRIBUTED_MW = WITH_DISTRIBUTED and check_env_flag('WITH_DISTRIBUTED_MW')
try:
import ninja
WITH_NINJA = True
except ImportError:
WITH_NINJA = False
if not WITH_NINJA:
from tools.setup_helpers.env import check_env_flag
from tools.setup_helpers.cuda import WITH_CUDA, CUDA_HOME, CUDA_VERSION
from tools.setup_helpers.cudnn import (WITH_CUDNN, CUDNN_LIBRARY,
CUDNN_LIB_DIR, CUDNN_INCLUDE_DIR)
from tools.setup_helpers.nccl import WITH_NCCL, WITH_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.mkldnn import (WITH_MKLDNN, MKLDNN_LIBRARY,
MKLDNN_LIB_DIR, MKLDNN_INCLUDE_DIR)
from tools.setup_helpers.nnpack import WITH_NNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
from tools.setup_helpers.dist_check import WITH_DISTRIBUTED, \
WITH_DISTRIBUTED_MW, WITH_GLOO_IBVERBS
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
# Check if ROCM is enabled
WITH_ROCM = check_env_flag('WITH_ROCM')
NUM_JOBS = multiprocessing.cpu_count()
max_jobs = os.getenv("MAX_JOBS")
if max_jobs is not None:
NUM_JOBS = min(NUM_JOBS, int(max_jobs))
try:
import ninja
from tools.setup_helpers.nccl import USE_NCCL, USE_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.mkldnn import (USE_MKLDNN, MKLDNN_LIBRARY,
MKLDNN_LIB_DIR, MKLDNN_INCLUDE_DIR)
from tools.setup_helpers.nnpack import USE_NNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
from tools.setup_helpers.dist_check import USE_DISTRIBUTED, \
USE_DISTRIBUTED_MW, USE_GLOO_IBVERBS, USE_C10D
################################################################################
# Parameters parsed from environment
################################################################################
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
FULL_CAFFE2 = check_env_flag('FULL_CAFFE2')
BUILD_PYTORCH = check_env_flag('BUILD_PYTORCH')
NUM_JOBS = multiprocessing.cpu_count()
max_jobs = os.getenv("MAX_JOBS")
if max_jobs is not None:
NUM_JOBS = min(NUM_JOBS, int(max_jobs))
ONNX_NAMESPACE = os.getenv("ONNX_NAMESPACE")
if not ONNX_NAMESPACE:
ONNX_NAMESPACE = "onnx_torch"
from tools.setup_helpers.env import check_env_flag
from tools.setup_helpers.cuda import WITH_CUDA, CUDA_HOME, CUDA_VERSION
from tools.setup_helpers.cudnn import (WITH_CUDNN, CUDNN_LIBRARY,
CUDNN_LIB_DIR, CUDNN_INCLUDE_DIR)
from tools.setup_helpers.nccl import WITH_NCCL, WITH_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.mkldnn import (WITH_MKLDNN, MKLDNN_LIBRARY,
MKLDNN_LIB_DIR, MKLDNN_INCLUDE_DIR)
from tools.setup_helpers.nnpack import WITH_NNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
from tools.setup_helpers.dist_check import WITH_DISTRIBUTED, \
WITH_DISTRIBUTED_MW, WITH_GLOO_IBVERBS
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
NUM_JOBS = multiprocessing.cpu_count()
max_jobs = os.getenv("MAX_JOBS")
if max_jobs is not None:
NUM_JOBS = min(NUM_JOBS, int(max_jobs))
try:
import ninja
WITH_NINJA = True
except ImportError:
WITH_NINJA = False
from tools.setup_helpers.env import check_env_flag
from tools.setup_helpers.cuda import WITH_CUDA, CUDA_HOME, CUDA_VERSION
from tools.setup_helpers.cudnn import (WITH_CUDNN, CUDNN_LIBRARY,
CUDNN_LIB_DIR, CUDNN_INCLUDE_DIR)
from tools.setup_helpers.nccl import WITH_NCCL, WITH_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.nnpack import WITH_NNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.split_types import split_types
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
from tools.setup_helpers.dist_check import WITH_DISTRIBUTED, \
WITH_DISTRIBUTED_MW, WITH_GLOO_IBVERBS
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
WITH_SCALARS = check_env_flag('WITH_SCALARS')
try:
import ninja
WITH_NINJA = True
except ImportError:
WITH_NINJA = False
if not WITH_NINJA:
# and matches the flags set for protobuf and ONNX
extra_link_args = ['/NODEFAULTLIB:LIBCMT.LIB']
# /MD links against DLL runtime
# and matches the flags set for protobuf and ONNX
# /Z7 turns on symbolic debugging information in .obj files
# /EHa is about native C++ catch support for asynchronous
# structured exception handling (SEH)
# /DNOMINMAX removes builtin min/max functions
# /wdXXXX disables warning no. XXXX
extra_compile_args = ['/MD', '/Z7',
'/EHa', '/DNOMINMAX',
'/wd4267', '/wd4251', '/wd4522', '/wd4522', '/wd4838',
'/wd4305', '/wd4244', '/wd4190', '/wd4101', '/wd4996',
'/wd4275']
if sys.version_info[0] == 2:
if not check_env_flag('FORCE_PY27_BUILD'):
report('The support for PyTorch with Python 2.7 on Windows is very experimental.')
report('Please set the flag `FORCE_PY27_BUILD` to 1 to continue build.')
sys.exit(1)
# /bigobj increases number of sections in .obj file, which is needed to link
# against libaries in Python 2.7 under Windows
extra_compile_args.append('/bigobj')
else:
extra_link_args = []
extra_compile_args = [
'-std=c++11',
'-Wall',
'-Wextra',
'-Wno-strict-overflow',
'-Wno-unused-parameter',
'-Wno-missing-field-initializers',
MIOPEN_LIB_DIR, MIOPEN_INCLUDE_DIR)
from tools.setup_helpers.nccl import USE_NCCL, USE_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.nnpack import USE_NNPACK
from tools.setup_helpers.qnnpack import USE_QNNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
from tools.setup_helpers.dist_check import USE_DISTRIBUTED, \
USE_GLOO_IBVERBS
################################################################################
# Parameters parsed from environment
################################################################################
DEBUG = check_env_flag('DEBUG')
REL_WITH_DEB_INFO = check_env_flag('REL_WITH_DEB_INFO')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
IS_PPC = (platform.machine() == 'ppc64le')
IS_ARM = (platform.machine() == 'aarch64')
BUILD_PYTORCH = check_env_flag('BUILD_PYTORCH')
# ppc64le and aarch64 do not support MKLDNN
if IS_PPC or IS_ARM:
USE_MKLDNN = check_env_flag('USE_MKLDNN', 'OFF')
else:
USE_MKLDNN = check_env_flag('USE_MKLDNN', 'ON')
USE_CUDA_STATIC_LINK = check_env_flag('USE_CUDA_STATIC_LINK')
def configure_extension_build():
r"""Configures extension build options according to system environment and user's choice.
Returns:
The input to parameters ext_modules, cmdclass, packages, and entry_points as required in setuptools.setup.
"""
try:
cmake_cache_vars = defaultdict(lambda: False, cmake.get_cmake_cache_variables())
except FileNotFoundError:
# CMakeCache.txt does not exist. Probably running "python setup.py clean" over a clean directory.
cmake_cache_vars = defaultdict(lambda: False)
################################################################################
# Configure compile flags
################################################################################
library_dirs = []
extra_install_requires = []
if IS_WINDOWS:
# /NODEFAULTLIB makes sure we only link to DLL runtime
# and matches the flags set for protobuf and ONNX
extra_link_args = ['/NODEFAULTLIB:LIBCMT.LIB']
# /MD links against DLL runtime
# and matches the flags set for protobuf and ONNX
# /EHsc is about standard C++ exception handling
# /DNOMINMAX removes builtin min/max functions
# /wdXXXX disables warning no. XXXX
extra_compile_args = ['/MD', '/EHsc', '/DNOMINMAX',
'/wd4267', '/wd4251', '/wd4522', '/wd4522', '/wd4838',
'/wd4305', '/wd4244', '/wd4190', '/wd4101', '/wd4996',
'/wd4275']
else:
extra_link_args = []
extra_compile_args = [
'-Wall',
'-Wextra',
'-Wno-strict-overflow',
'-Wno-unused-parameter',
'-Wno-missing-field-initializers',
'-Wno-write-strings',
'-Wno-unknown-pragmas',
# This is required for Python 2 declarations that are deprecated in 3.
'-Wno-deprecated-declarations',
# Python 2.6 requires -fno-strict-aliasing, see
# http://legacy.python.org/dev/peps/pep-3123/
# We also depend on it in our code (even Python 3).
'-fno-strict-aliasing',
# Clang has an unfixed bug leading to spurious missing
# braces warnings, see
# https://bugs.llvm.org/show_bug.cgi?id=21629
'-Wno-missing-braces',
]
if check_env_flag('WERROR'):
extra_compile_args.append('-Werror')
library_dirs.append(lib_path)
main_compile_args = []
main_libraries = ['torch_python']
main_link_args = []
main_sources = ["torch/csrc/stub.c"]
if cmake_cache_vars['USE_CUDA']:
library_dirs.append(
os.path.dirname(cmake_cache_vars['CUDA_CUDA_LIB']))
if cmake_cache_vars['USE_NUMPY']:
extra_install_requires += ['numpy']
if build_type.is_debug():
if IS_WINDOWS:
extra_compile_args.append('/Z7')
extra_link_args.append('/DEBUG:FULL')
else:
extra_compile_args += ['-O0', '-g']
extra_link_args += ['-O0', '-g']
if build_type.is_rel_with_deb_info():
if IS_WINDOWS:
extra_compile_args.append('/Z7')
extra_link_args.append('/DEBUG:FULL')
else:
extra_compile_args += ['-g']
extra_link_args += ['-g']
def make_relative_rpath(path):
if IS_DARWIN:
return '-Wl,-rpath,@loader_path/' + path
elif IS_WINDOWS:
return ''
else:
return '-Wl,-rpath,$ORIGIN/' + path
################################################################################
# Declare extensions and package
################################################################################
extensions = []
packages = find_packages(exclude=('tools', 'tools.*'))
C = Extension("torch._C",
libraries=main_libraries,
sources=main_sources,
language='c',
extra_compile_args=main_compile_args + extra_compile_args,
include_dirs=[],
library_dirs=library_dirs,
extra_link_args=extra_link_args + main_link_args + [make_relative_rpath('lib')])
extensions.append(C)
if not IS_WINDOWS:
DL = Extension("torch._dl",
sources=["torch/csrc/dl.c"],
language='c')
extensions.append(DL)
# These extensions are built by cmake and copied manually in build_extensions()
# inside the build_ext implementation
extensions.append(
Extension(
name=str('caffe2.python.caffe2_pybind11_state'),
sources=[]),
)
if cmake_cache_vars['USE_CUDA']:
extensions.append(
Extension(
name=str('caffe2.python.caffe2_pybind11_state_gpu'),
sources=[]),
)
if cmake_cache_vars['USE_ROCM']:
extensions.append(
Extension(
name=str('caffe2.python.caffe2_pybind11_state_hip'),
sources=[]),
)
cmdclass = {
'build_ext': build_ext,
'clean': clean,
'install': install,
}
entry_points = {
'console_scripts': [
'convert-caffe2-to-onnx = caffe2.python.onnx.bin.conversion:caffe2_to_onnx',
'convert-onnx-to-caffe2 = caffe2.python.onnx.bin.conversion:onnx_to_caffe2',
]
}
return extensions, cmdclass, packages, entry_points, extra_install_requires
from tools.setup_helpers.env import check_env_flag
from tools.setup_helpers.cuda import WITH_CUDA, CUDA_HOME, CUDA_VERSION
from tools.setup_helpers.cudnn import (WITH_CUDNN, CUDNN_LIBRARY,
CUDNN_LIB_DIR, CUDNN_INCLUDE_DIR)
from tools.setup_helpers.nccl import WITH_NCCL, WITH_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.nnpack import WITH_NNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.split_types import split_types
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
from tools.setup_helpers.dist_check import WITH_DISTRIBUTED, \
WITH_DISTRIBUTED_MW, WITH_GLOO_IBVERBS
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
if 'WITH_SCALARS' not in os.environ:
os.environ['WITH_SCALARS'] = '1'
WITH_SCALARS = check_env_flag('WITH_SCALARS')
NUM_JOBS = multiprocessing.cpu_count()
max_jobs = os.getenv("MAX_JOBS")
if max_jobs is not None:
NUM_JOBS = min(NUM_JOBS, int(max_jobs))
try:
def configure_extension_build():
r"""Configures extension build options according to system environment and user's choice.
Returns:
The input to parameters ext_modules, cmdclass, packages, and entry_points as required in setuptools.setup.
"""
try:
cmake_cache_vars = defaultdict(lambda: False,
cmake.get_cmake_cache_variables())
except FileNotFoundError:
# CMakeCache.txt does not exist. Probably running "python setup.py clean" over a clean directory.
cmake_cache_vars = defaultdict(lambda: False)
################################################################################
# Configure compile flags
################################################################################
library_dirs = []
if IS_WINDOWS:
# /NODEFAULTLIB makes sure we only link to DLL runtime
# and matches the flags set for protobuf and ONNX
extra_link_args = ['/NODEFAULTLIB:LIBCMT.LIB']
# /MD links against DLL runtime
# and matches the flags set for protobuf and ONNX
# /Z7 turns on symbolic debugging information in .obj files
# /EHa is about native C++ catch support for asynchronous
# structured exception handling (SEH)
# /DNOMINMAX removes builtin min/max functions
# /wdXXXX disables warning no. XXXX
extra_compile_args = [
'/MD', '/Z7', '/EHa', '/DNOMINMAX', '/wd4267', '/wd4251',
'/wd4522', '/wd4522', '/wd4838', '/wd4305', '/wd4244', '/wd4190',
'/wd4101', '/wd4996', '/wd4275'
]
if sys.version_info[0] == 2:
if not check_env_flag('FORCE_PY27_BUILD'):
report(
'The support for PyTorch with Python 2.7 on Windows is very experimental.'
)
report(
'Please set the flag `FORCE_PY27_BUILD` to 1 to continue build.'
)
sys.exit(1)
# /bigobj increases number of sections in .obj file, which is needed to link
# against libaries in Python 2.7 under Windows
extra_compile_args.append('/bigobj')
else:
extra_link_args = []
extra_compile_args = [
'-std=c++14',
'-Wall',
'-Wextra',
'-Wno-strict-overflow',
'-Wno-unused-parameter',
'-Wno-missing-field-initializers',
'-Wno-write-strings',
'-Wno-unknown-pragmas',
# This is required for Python 2 declarations that are deprecated in 3.
'-Wno-deprecated-declarations',
# Python 2.6 requires -fno-strict-aliasing, see
# http://legacy.python.org/dev/peps/pep-3123/
# We also depend on it in our code (even Python 3).
'-fno-strict-aliasing',
# Clang has an unfixed bug leading to spurious missing
# braces warnings, see
# https://bugs.llvm.org/show_bug.cgi?id=21629
'-Wno-missing-braces',
]
if check_env_flag('WERROR'):
extra_compile_args.append('-Werror')
library_dirs.append(lib_path)
# we specify exact lib names to avoid conflict with lua-torch installs
CAFFE2_LIBS = []
main_compile_args = []
main_libraries = ['shm', 'torch_python']
main_link_args = []
main_sources = ["torch/csrc/stub.cpp"]
# Before the introduction of stub.cpp, _C.so and libcaffe2.so defined
# some of the same symbols, and it was important for _C.so to be
# loaded before libcaffe2.so so that the versions in _C.so got
# used. This happened automatically because we loaded _C.so directly,
# and libcaffe2.so was brought in as a dependency (though I suspect it
# may have been possible to break by importing caffe2 first in the
# same process).
#
# Now, libtorch_python.so and libcaffe2.so define some of the same
# symbols. We directly load the _C.so stub, which brings both of these
# in as dependencies. We have to make sure that symbols continue to be
# looked up in libtorch_python.so first, by making sure it comes
# before libcaffe2.so in the linker command.
main_link_args.extend(CAFFE2_LIBS)
if cmake_cache_vars['USE_CUDA']:
library_dirs.append(os.path.dirname(cmake_cache_vars['CUDA_CUDA_LIB']))
if build_type.is_debug():
if IS_WINDOWS:
extra_link_args.append('/DEBUG:FULL')
else:
extra_compile_args += ['-O0', '-g']
extra_link_args += ['-O0', '-g']
if build_type.is_rel_with_deb_info():
if IS_WINDOWS:
extra_link_args.append('/DEBUG:FULL')
else:
extra_compile_args += ['-g']
extra_link_args += ['-g']
def make_relative_rpath(path):
if IS_DARWIN:
return '-Wl,-rpath,@loader_path/' + path
elif IS_WINDOWS:
return ''
else:
return '-Wl,-rpath,$ORIGIN/' + path
################################################################################
# Declare extensions and package
################################################################################
extensions = []
packages = find_packages(exclude=('tools', 'tools.*'))
C = Extension("torch._C",
libraries=main_libraries,
sources=main_sources,
language='c++',
extra_compile_args=main_compile_args + extra_compile_args,
include_dirs=[],
library_dirs=library_dirs,
extra_link_args=extra_link_args + main_link_args +
[make_relative_rpath('lib')])
extensions.append(C)
if not IS_WINDOWS:
DL = Extension("torch._dl", sources=["torch/csrc/dl.c"], language='c')
extensions.append(DL)
# These extensions are built by cmake and copied manually in build_extensions()
# inside the build_ext implementaiton
extensions.append(
Extension(name=str('caffe2.python.caffe2_pybind11_state'),
sources=[]), )
if cmake_cache_vars['USE_CUDA']:
extensions.append(
Extension(name=str('caffe2.python.caffe2_pybind11_state_gpu'),
sources=[]), )
if cmake_cache_vars['USE_ROCM']:
extensions.append(
Extension(name=str('caffe2.python.caffe2_pybind11_state_hip'),
sources=[]), )
cmdclass = {
'build_ext': build_ext,
'clean': clean,
'install': install,
}
entry_points = {
'console_scripts': [
'convert-caffe2-to-onnx = caffe2.python.onnx.bin.conversion:caffe2_to_onnx',
'convert-onnx-to-caffe2 = caffe2.python.onnx.bin.conversion:onnx_to_caffe2',
]
}
return extensions, cmdclass, packages, entry_points
from tools.setup_helpers.nccl import USE_NCCL, USE_SYSTEM_NCCL, NCCL_LIB_DIR, \
NCCL_INCLUDE_DIR, NCCL_ROOT_DIR, NCCL_SYSTEM_LIB
from tools.setup_helpers.mkldnn import (USE_MKLDNN, MKLDNN_LIBRARY,
MKLDNN_LIB_DIR, MKLDNN_INCLUDE_DIR)
from tools.setup_helpers.nnpack import USE_NNPACK
from tools.setup_helpers.nvtoolext import NVTOOLEXT_HOME
from tools.setup_helpers.generate_code import generate_code
from tools.setup_helpers.ninja_builder import NinjaBuilder, ninja_build_ext
from tools.setup_helpers.dist_check import USE_DISTRIBUTED, \
USE_DISTRIBUTED_MW, USE_GLOO_IBVERBS, USE_C10D
################################################################################
# Parameters parsed from environment
################################################################################
DEBUG = check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
FULL_CAFFE2 = check_env_flag('FULL_CAFFE2')
BUILD_PYTORCH = check_env_flag('BUILD_PYTORCH')
USE_CUDA_STATIC_LINK = check_env_flag('USE_CUDA_STATIC_LINK')
NUM_JOBS = multiprocessing.cpu_count()
max_jobs = os.getenv("MAX_JOBS")
if max_jobs is not None:
NUM_JOBS = min(NUM_JOBS, int(max_jobs))
ONNX_NAMESPACE = os.getenv("ONNX_NAMESPACE")
