old_contents: # 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.
  # =============================================================================
  """pywrap_tensorflow wrapper that exports all symbols with RTLD_GLOBAL."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import ctypes
  import sys
  import traceback
  
  # pylint: disable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
  
  # 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.
  try:
    # TODO(keveman,mrry): Support dynamic op loading on platforms that do not
    # use `dlopen()` for dynamic loading.
    _use_rtld_global = hasattr(sys, 'getdlopenflags') and hasattr(sys, 'setdlopenflags')
    if _use_rtld_global:
      _default_dlopen_flags = sys.getdlopenflags()
      sys.setdlopenflags(_default_dlopen_flags | ctypes.RTLD_GLOBAL)
    from tensorflow.python.pywrap_tensorflow_internal import *
    from tensorflow.python.pywrap_tensorflow_internal import __version__
    from tensorflow.python.pywrap_tensorflow_internal import __git_version__
    from tensorflow.python.pywrap_tensorflow_internal import __compiler_version__
    if _use_rtld_global:
      sys.setdlopenflags(_default_dlopen_flags)
  except ImportError:
    msg = """%s\n\nFailed to load the native TensorFlow runtime.\n
  Visit https://github.com/tensorflow/tensorflow/blob/master/tensorflow/docs_src/install/index.md\n
  and click on the link that corresponds to your operating system to read about\n
  common reasons and solutions in the "Common installation problems"\n
  subsection.
  
  Include the entire stack trace
  above this error message when asking for help.""" % traceback.format_exc()
    raise ImportError(msg)
  
  # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
  
new_contents: # 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.
  # =============================================================================
  """pywrap_tensorflow wrapper that exports all symbols with RTLD_GLOBAL."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import ctypes
  import sys
  import traceback
  
  # pylint: disable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
  
  # 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.
  try:
    # TODO(keveman,mrry): Support dynamic op loading on platforms that do not
    # use `dlopen()` for dynamic loading.
    _use_rtld_global = hasattr(sys, 'getdlopenflags') and hasattr(sys, 'setdlopenflags')
    if _use_rtld_global:
      _default_dlopen_flags = sys.getdlopenflags()
      sys.setdlopenflags(_default_dlopen_flags | ctypes.RTLD_GLOBAL)
    from tensorflow.python.pywrap_tensorflow_internal import *
    from tensorflow.python.pywrap_tensorflow_internal import __version__
    from tensorflow.python.pywrap_tensorflow_internal import __git_version__
    from tensorflow.python.pywrap_tensorflow_internal import __compiler_version__
    if _use_rtld_global:
      sys.setdlopenflags(_default_dlopen_flags)
  except ImportError:
    msg = """%s\n\nFailed to load the native TensorFlow runtime.\n
  Visit https://github.com/tensorflow/tensorflow/blob/master/tensorflow/docs_src/install/index.md
  and click on the link that corresponds to your operating system to read about
  common reasons and solutions in the "Common installation problems"
  subsection.
  
  Include the entire stack trace
  above this error message when asking for help.""" % traceback.format_exc()
    raise ImportError(msg)
  
  # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
  
subject: remove extraneous linebreaks