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setup.py
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setup.py
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#!/usr/bin/env python
from __future__ import print_function
from setuptools import setup, find_packages, distutils
from torch.utils.cpp_extension import BuildExtension, CppExtension
import distutils.ccompiler
import distutils.command.clean
import glob
import inspect
import multiprocessing
import multiprocessing.pool
import os
import platform
import re
import shutil
import subprocess
import sys
base_dir = os.path.dirname(os.path.abspath(__file__))
def _check_env_flag(name, default=''):
return os.getenv(name, default).upper() in ['ON', '1', 'YES', 'TRUE', 'Y']
def get_git_head_sha(base_dir):
xla_git_sha = subprocess.check_output(['git', 'rev-parse', 'HEAD'],
cwd=base_dir).decode('ascii').strip()
if os.path.isdir(os.path.join(base_dir, '..', '.git')):
torch_git_sha = subprocess.check_output(['git', 'rev-parse', 'HEAD'],
cwd=os.path.join(
base_dir,
'..')).decode('ascii').strip()
else:
torch_git_sha = ''
return xla_git_sha, torch_git_sha
def get_build_version(xla_git_sha):
version = os.getenv('TORCH_XLA_VERSION', '0.8')
if _check_env_flag('VERSIONED_XLA_BUILD', default='0'):
try:
version += '+' + xla_git_sha[:7]
except Exception:
pass
return version
def create_version_files(base_dir, version, xla_git_sha, torch_git_sha):
print('Building torch_xla version: {}'.format(version))
py_version_path = os.path.join(base_dir, 'torch_xla', 'version.py')
with open(py_version_path, 'w') as f:
f.write('# Autogenerated file, do not edit!\n')
f.write("__version__ = '{}'\n".format(version))
f.write("__xla_gitrev__ = '{}'\n".format(xla_git_sha))
f.write("__torch_gitrev__ = '{}'\n".format(torch_git_sha))
cpp_version_path = os.path.join(base_dir, 'torch_xla', 'csrc', 'version.cpp')
with open(cpp_version_path, 'w') as f:
f.write('// Autogenerated file, do not edit!\n')
f.write('#include "torch_xla/csrc/version.h"\n\n')
f.write('namespace torch_xla {\n\n')
f.write('const char XLA_GITREV[] = {{"{}"}};\n'.format(xla_git_sha))
f.write('const char TORCH_GITREV[] = {{"{}"}};\n\n'.format(torch_git_sha))
f.write('} // namespace torch_xla\n')
def generate_xla_aten_code(base_dir):
generate_code_cmd = [os.path.join(base_dir, 'scripts', 'generate_code.sh')]
if subprocess.call(generate_code_cmd) != 0:
print("Failed to run '{}'".format(generate_code_cmd), file=sys.stderr)
sys.exit(1)
def build_extra_libraries(base_dir):
build_libs_cmd = [os.path.join(base_dir, 'build_torch_xla_libs.sh')]
if len(sys.argv) > 1 and not sys.argv[1].startswith('-'):
build_libs_cmd += [sys.argv[1]]
if subprocess.call(build_libs_cmd) != 0:
print("Failed to run '{}'".format(build_libs_cmd), file=sys.stderr)
sys.exit(1)
def _compile_parallel(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)
cc_args = self._get_cc_args(pp_opts, debug, extra_preargs)
def compile_one(obj):
try:
src, ext = build[obj]
except KeyError:
return
self._compile(obj, src, ext, cc_args, extra_postargs, pp_opts)
list(
multiprocessing.pool.ThreadPool(multiprocessing.cpu_count()).imap(
compile_one, objects))
return objects
# Plant the parallel compile function.
if _check_env_flag('COMPILE_PARALLEL', default='1'):
try:
if (inspect.signature(distutils.ccompiler.CCompiler.compile) ==
inspect.signature(_compile_parallel)):
distutils.ccompiler.CCompiler.compile = _compile_parallel
except:
pass
class Clean(distutils.command.clean.clean):
def run(self):
import glob
import re
with open('.gitignore', 'r') as f:
ignores = f.read()
pat = re.compile(r'^#( BEGIN NOT-CLEAN-FILES )?')
for wildcard in filter(None, ignores.split('\n')):
match = pat.match(wildcard)
if match:
if match.group(1):
# Marker is found and stop reading .gitignore.
break
# Ignore lines which begin with '#'.
else:
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)
class Build(BuildExtension):
def run(self):
# Run the original BuildExtension first. We need this before building
# the tests.
BuildExtension.run(self)
if _check_env_flag('BUILD_CPP_TESTS', default='1'):
# Build the C++ tests
cmd = [os.path.join(base_dir, 'test/cpp/run_tests.sh'), '-B']
if subprocess.call(cmd) != 0:
print('Failed to build tests: {}'.format(cmd), file=sys.stderr)
sys.exit(1)
xla_git_sha, torch_git_sha = get_git_head_sha(base_dir)
version = get_build_version(xla_git_sha)
# Generate version info (torch_xla.__version__)
create_version_files(base_dir, version, xla_git_sha, torch_git_sha)
# Generate the code before globbing!
generate_xla_aten_code(base_dir)
# Build the support libraries (ie, TF).
build_extra_libraries(base_dir)
# Fetch the sources to be built.
torch_xla_sources = (
glob.glob('torch_xla/csrc/*.cpp') + glob.glob('torch_xla/csrc/ops/*.cpp'))
# Constant known variables used throughout this file
lib_path = os.path.join(base_dir, 'torch_xla', 'lib')
pytorch_source_path = os.getenv('PYTORCH_SOURCE_PATH',
os.path.dirname(base_dir))
third_party_path = os.path.join(base_dir, 'third_party')
include_dirs = [
base_dir,
]
include_dirs += [
third_party_path + '/tensorflow/bazel-tensorflow',
third_party_path + '/tensorflow/bazel-bin',
third_party_path +
'/tensorflow/bazel-tensorflow/external/protobuf_archive/src',
third_party_path +
'/tensorflow/bazel-tensorflow/external/com_google_protobuf/src',
third_party_path + '/tensorflow/bazel-tensorflow/external/eigen_archive',
third_party_path + '/tensorflow/bazel-tensorflow/external/com_google_absl',
]
include_dirs += [
pytorch_source_path,
os.path.join(pytorch_source_path, 'torch', 'csrc'),
os.path.join(pytorch_source_path, 'torch', 'lib', 'tmp_install', 'include'),
]
library_dirs = []
library_dirs.append(lib_path)
extra_link_args = []
DEBUG = _check_env_flag('DEBUG')
IS_WINDOWS = (platform.system() == 'Windows')
IS_DARWIN = (platform.system() == 'Darwin')
IS_LINUX = (platform.system() == 'Linux')
def make_relative_rpath(path):
if IS_DARWIN:
return '-Wl,-rpath,@loader_path/' + path
elif IS_WINDOWS:
return ''
else:
return '-Wl,-rpath,$ORIGIN/' + path
extra_compile_args = [
'-std=c++14',
'-Wno-sign-compare',
'-Wno-deprecated-declarations',
'-Wno-return-type',
]
if re.match(r'clang', os.getenv('CC', '')):
extra_compile_args += [
'-Wno-macro-redefined',
'-Wno-return-std-move',
]
if DEBUG:
if IS_WINDOWS:
extra_link_args.append('/DEBUG:FULL')
else:
extra_compile_args += ['-O0', '-g']
extra_link_args += ['-O0', '-g']
extra_link_args += ['-lxla_computation_client']
setup(
name='torch_xla',
version=version,
description='XLA bridge for PyTorch',
url='https://github.com/pytorch/xla',
author='PyTorch/XLA Dev Team',
author_email='pytorch-xla@googlegroups.com',
# Exclude the build files.
packages=find_packages(exclude=['build']),
ext_modules=[
CppExtension(
'_XLAC',
torch_xla_sources,
include_dirs=include_dirs,
extra_compile_args=extra_compile_args,
library_dirs=library_dirs,
extra_link_args=extra_link_args + \
[make_relative_rpath('torch_xla/lib')],
),
],
package_data={
'torch_xla': [
'lib/*.so*',
],
},
data_files=[
'test/cpp/build/test_ptxla',
'scripts/fixup_binary.py',
],
cmdclass={
'build_ext': Build,
'clean': Clean,
})