wehub-resource-sync
142 lines
4.5 KiB
Python
142 lines
4.5 KiB
Python
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""System configuration library.
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API docstring: tensorflow.sysconfig
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"""
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import os.path as _os_path
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import platform as _platform
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from tensorflow.python.client import pywrap_tf_session
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# pylint: disable=g-importing-member
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from tensorflow.python.framework.versions import CXX11_ABI_FLAG as _CXX11_ABI_FLAG
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from tensorflow.python.framework.versions import CXX_VERSION as _CXX_VERSION
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from tensorflow.python.framework.versions import MONOLITHIC_BUILD as _MONOLITHIC_BUILD
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from tensorflow.python.framework.versions import VERSION as _VERSION
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from tensorflow.python.platform import build_info
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from tensorflow.python.util.tf_export import tf_export
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# pylint: disable=g-import-not-at-top
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@tf_export('sysconfig.get_include')
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def get_include():
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"""Get the directory containing the TensorFlow C++ header files.
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Returns:
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The directory as string.
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"""
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return _os_path.join(get_lib(), 'include')
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@tf_export('sysconfig.get_lib')
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def get_lib():
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"""Get the directory containing the TensorFlow framework library.
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Returns:
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The directory as string.
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"""
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return _os_path.normpath(
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_os_path.join(_os_path.dirname(__file__), '..', '..')
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)
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@tf_export('sysconfig.get_compile_flags')
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def get_compile_flags():
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"""Returns the compilation flags for compiling with TensorFlow.
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The returned list of arguments can be passed to the compiler for compiling
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against TensorFlow headers. The result is platform dependent.
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For example, on a typical Linux system with Python 3.7 the following command
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prints `['-I/usr/local/lib/python3.7/dist-packages/tensorflow/include',
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'-D_GLIBCXX_USE_CXX11_ABI=1', '-DEIGEN_MAX_ALIGN_BYTES=64']`
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>>> print(tf.sysconfig.get_compile_flags())
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Returns:
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A list of strings for the compiler flags.
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"""
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flags = []
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flags.append('-I%s' % get_include())
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flags.append('-D_GLIBCXX_USE_CXX11_ABI=%d' % _CXX11_ABI_FLAG)
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cxx_version_flag = None
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if _CXX_VERSION == 201103:
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cxx_version_flag = '--std=c++11'
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elif _CXX_VERSION == 201402:
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cxx_version_flag = '--std=c++14'
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elif _CXX_VERSION == 201703:
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cxx_version_flag = '--std=c++17'
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elif _CXX_VERSION == 202002:
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cxx_version_flag = '--std=c++20'
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if cxx_version_flag:
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flags.append(cxx_version_flag)
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flags.append('-DEIGEN_MAX_ALIGN_BYTES=%d' %
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pywrap_tf_session.get_eigen_max_align_bytes())
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return flags
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@tf_export('sysconfig.get_link_flags')
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def get_link_flags():
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"""Returns the linker flags for linking with TensorFlow.
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The returned list of arguments can be passed to the linker for linking against
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TensorFlow. The result is platform dependent.
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For example, on a typical Linux system with Python 3.7 the following command
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prints `['-L/usr/local/lib/python3.7/dist-packages/tensorflow',
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'-l:libtensorflow_framework.so.2']`
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>>> print(tf.sysconfig.get_link_flags())
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Returns:
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A list of strings for the linker flags.
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"""
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is_mac = _platform.system() == 'Darwin'
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ver = _VERSION.split('.')[0]
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flags = []
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if not _MONOLITHIC_BUILD:
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flags.append('-L%s' % get_lib())
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if is_mac:
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flags.append('-ltensorflow_framework.%s' % ver)
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else:
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flags.append('-l:libtensorflow_framework.so.%s' % ver)
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return flags
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@tf_export('sysconfig.get_build_info')
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def get_build_info():
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"""Get a dictionary describing TensorFlow's build environment.
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Values are generated when TensorFlow is compiled, and are static for each
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TensorFlow package. The return value is a dictionary with string keys such as:
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- cuda_version
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- cudnn_version
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- is_cuda_build
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- is_rocm_build
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- msvcp_dll_names
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- nvcuda_dll_name
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- cudart_dll_name
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- cudnn_dll_name
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Note that the actual keys and values returned by this function is subject to
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change across different versions of TensorFlow or across platforms.
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Returns:
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A Dictionary describing TensorFlow's build environment.
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"""
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return build_info.build_info
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