Files
tbb/python/setup.py
T
Hans Johnson e32d75f876 ENH: Update to TBB 2017 (2016-09-08 release)
The new release TBB is now under a new more
open license.
                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

The list of most significant changes made over time in
Intel(R) Threading Building Blocks (Intel(R) TBB).

Intel TBB 2017
TBB_INTERFACE_VERSION == 9100

Changes (w.r.t. Intel TBB 4.4 Update 5):

- static_partitioner class is now a fully supported feature.
- async_node class is now a fully supported feature.
- Improved dynamic memory allocation replacement on Windows* OS to skip
    DLLs for which replacement cannot be done, instead of aborting.
- Intel TBB no longer performs dynamic memory allocation replacement
    for Microsoft* Visual Studio* 2008.
- For 64-bit platforms, quadrupled the worst-case limit on the amount
    of memory the Intel TBB allocator can handle.
- Added TBB_USE_GLIBCXX_VERSION macro to specify the version of GNU
    libstdc++ when it cannot be properly recognized, e.g. when used
    with Clang on Linux* OS. Inspired by a contribution from David A.
- Added graph/stereo example to demostrate tbb::flow::async_msg.
- Removed a few cases of excessive user data copying in the flow graph.
- Reworked split_node to eliminate unnecessary overheads.
- Added support for C++11 move semantics to the argument of
    tbb::parallel_do_feeder::add() method.
- Added C++11 move constructor and assignment operator to
    tbb::combinable template class.
- Added tbb::this_task_arena::max_concurrency() function and
    max_concurrency() method of class task_arena returning the maximal
    number of threads that can work inside an arena.
- Deprecated tbb::task_arena::current_thread_index() static method;
    use tbb::this_task_arena::current_thread_index() function instead.
- All examples for commercial version of library moved online:
    https://software.intel.com/en-us/product-code-samples. Examples are
    available as a standalone package or as a part of Intel(R) Parallel
    Studio XE or Intel(R) System Studio Online Samples packages.

Changes affecting backward compatibility:

- Renamed following methods and types in async_node class:
    Old                   New
    async_gateway_type => gateway_type
    async_gateway()    => gateway()
    async_try_put()    => try_put()
    async_reserve()    => reserve_wait()
    async_commit()     => release_wait()
- Internal layout of some flow graph nodes has changed; recompilation
    is recommended for all binaries that use the flow graph.

Preview Features:

- Added template class streaming_node to the flow graph API. It allows
    a flow graph to offload computations to other devices through
    streaming or offloading APIs.
- Template class opencl_node reimplemented as a specialization of
    streaming_node that works with OpenCL*.
- Added tbb::this_task_arena::isolate() function to isolate execution
    of a group of tasks or an algorithm from other tasks submitted
    to the scheduler.

Bugs fixed:

- Added a workaround for GCC bug #62258 in std::rethrow_exception()
    to prevent possible problems in case of exception propagation.
- Fixed parallel_scan to provide correct result if the initial value
    of an accumulator is not the operation identity value.
- Fixed a memory corruption in the memory allocator when it meets
    internal limits.
- Fixed the memory allocator on 64-bit platforms to align memory
    to 16 bytes by default for all allocations bigger than 8 bytes.
- As a workaround for crashes in the Intel TBB library compiled with
    GCC 6, added -flifetime-dse=1 to compilation options on Linux* OS.
- Fixed a race in the flow graph implementation.

Open-source contributions integrated:

- Enabling use of C++11 'override' keyword by Raf Schietekat.

------------------------------------------------------------------------
2016-09-28 21:12:48 +02:00

118 lines
4.6 KiB
Python

#!/usr/bin/env python
#
# Copyright (c) 2005-2016 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
#
#
#
# System imports
from __future__ import print_function
import platform
import os
from distutils.core import *
from distutils.command.build import build
if any(i in os.environ for i in ["CC", "CXX"]):
if "CC" not in os.environ:
os.environ['CC'] = os.environ['CXX']
if "CXX" not in os.environ:
os.environ['CXX'] = os.environ['CC']
if platform.system() == 'Linux':
os.environ['LDSHARED'] = os.environ['CXX'] + " -shared"
intel_compiler = os.getenv('CC', '') in ['icl', 'icpc', 'icc']
try:
tbb_root = os.environ['TBBROOT']
print("Using TBBROOT=", tbb_root)
except:
tbb_root = '.'
if not intel_compiler:
print("Warning: TBBROOT env var is not set and Intel's compiler is not used. It might lead\n"
" !!!: to compile/link problems. Source tbbvars.sh/.csh file to set environment")
use_compiler_tbb = intel_compiler and tbb_root == '.'
if use_compiler_tbb:
print("Using Intel TBB from Intel's compiler")
if platform.system() == 'Windows':
if intel_compiler:
os.environ['DISTUTILS_USE_SDK'] = '1' # Enable environment settings in distutils
os.environ['MSSdk'] = '1'
print("Using compiler settings from environment")
tbb_flag = ['/Qtbb'] if use_compiler_tbb else []
compile_flags = ['/Qstd=c++11'] if intel_compiler else []
else:
tbb_flag = ['-tbb'] if use_compiler_tbb else []
compile_flags = ['-std=c++11', '-Wno-unused-variable']
_tbb = Extension("_TBB", ["tbb.i"],
include_dirs=[os.path.join(tbb_root, 'include')] if not use_compiler_tbb else [],
swig_opts =['-c++', '-O', '-threads'] + ( # add '-builtin' later
['-I' + os.path.join(tbb_root, 'include')] if not use_compiler_tbb else []),
extra_compile_args=compile_flags + tbb_flag,
extra_link_args=tbb_flag,
libraries =['tbb'] if not use_compiler_tbb else [],
library_dirs=[os.path.join(tbb_root, 'lib', 'intel64', 'gcc4.4'), # for Linux
os.path.join(tbb_root, 'lib'), # for MacOS
os.path.join(tbb_root, 'lib', 'intel64', 'vc_mt'), # for Windows
] if not use_compiler_tbb else [],
language ='c++',
)
class TBBBuild(build):
sub_commands = [ # define build order
('build_ext', build.has_ext_modules),
('build_py', build.has_pure_modules),
]
setup( name ="TBB",
description ="Python API for Intel TBB",
long_description="Python API to Intel(R) Threading Building Blocks library (Intel(R) TBB) "
"extended with standard Pool implementation and monkey-patching",
url ="https://software.intel.com/en-us/intel-tbb",
author ="Intel Corporation",
author_email="tbbdevelopers@intel.com",
license ="Dual license: Apache or Proprietary",
version ="0.1",
classifiers =[
'Development Status :: 4 - Beta',
'Environment :: Console',
'Environment :: Plugins',
'Intended Audience :: Developers',
'Intended Audience :: System Administrators',
'Intended Audience :: Other Audience',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'License :: Other/Proprietary License',
'Operating System :: MacOS :: MacOS X',
'Operating System :: Microsoft :: Windows',
'Operating System :: POSIX',
'Operating System :: Unix',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 3',
'Programming Language :: C++',
'Topic :: System :: Hardware :: Symmetric Multi-processing',
'Topic :: Software Development :: Libraries',
],
keywords='tbb multiprocessing multithreading composable parallelism',
ext_modules=[_tbb],
py_modules=['TBB'],
cmdclass={'build': TBBBuild}
)