# Copyright 2017 The TensorFlow Authors. All Rights Reserved.

#

# 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.

# =============================================================================

"""If possible, exports all symbols with RTLD_GLOBAL.

Note that this file is only imported by pywrap_tensorflow.py if this is a static

build (meaning there is no explicit framework cc_binary shared object dependency

of _pywrap_tensorflow_internal.so). For regular (non-static) builds, RTLD_GLOBAL

is not necessary, since the dynamic dependencies of custom/contrib ops are

explicit.

"""

from __future__ import absolute_import

from __future__ import division

from __future__ import print_function

import ctypes

import sys

# On UNIX-based platforms, pywrap_tensorflow is a SWIG-generated

# python library that dynamically loads _pywrap_tensorflow.so. The

# default mode for loading keeps all the symbol private and not

# visible to other libraries that may be loaded. Setting the mode to

# RTLD_GLOBAL to make the symbols visible, so that custom op libraries

# imported using `tf.load_op_library()` can access symbols defined in

# _pywrap_tensorflow.so.

_use_rtld_global = (hasattr(sys, 'getdlopenflags')

and hasattr(sys, 'setdlopenflags'))

if _use_rtld_global:

_default_dlopen_flags = sys.getdlopenflags()

def set_dlopen_flags():

if _use_rtld_global:

sys.setdlopenflags(_default_dlopen_flags | ctypes.RTLD_GLOBAL)

def reset_dlopen_flags():

if _use_rtld_global:

sys.setdlopenflags(_default_dlopen_flags)