text: # Copyright 2015 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.
  # ==============================================================================
  """Bring in all of the public TensorFlow interface into this module."""
  
  from __future__ import absolute_import as _absolute_import
  from __future__ import division as _division
  from __future__ import print_function as _print_function
  
  import distutils as _distutils
  import inspect as _inspect
  import os as _os
  import site as _site
  import sys as _sys
  
  # API IMPORTS PLACEHOLDER
  
  # pylint: disable=g-bad-import-order
  from tensorflow.python.tools import component_api_helper as _component_api_helper
  _component_api_helper.package_hook(
      parent_package_str=__name__,
      child_package_str=(
          'tensorflow_estimator.python.estimator.api._v2.estimator'))
  
  _current_module = _sys.modules[__name__]
  if not hasattr(_current_module, 'estimator'):
    _component_api_helper.package_hook(
        parent_package_str=__name__,
        child_package_str=(
            'tensorflow_estimator.python.estimator.api.estimator'))
  _component_api_helper.package_hook(
      parent_package_str=__name__,
      child_package_str=('tensorflow.python.keras.api._v2.keras'))
  # Make sure directory containing top level submodules is in
  # the __path__ so that "from tensorflow.foo import bar" works.
  # We're using bitwise, but there's nothing special about that.
  _tf_api_dir = _os.path.dirname(_os.path.dirname(bitwise.__file__))  # pylint: disable=undefined-variable
  if not hasattr(_current_module, '__path__'):
    __path__ = [_tf_api_dir]
  elif _tf_api_dir not in __path__:
    __path__.append(_tf_api_dir)
  
  # Enable TF2 behaviors
  from tensorflow.python.compat import compat as _compat  # pylint: disable=g-import-not-at-top
  _compat.enable_v2_behavior()
  
  
  # Load all plugin libraries from site-packages/tensorflow-plugins if we are
  # running under pip.
  # TODO(gunan): Enable setting an environment variable to define arbitrary plugin
  # directories.
  # TODO(gunan): Find a better location for this code snippet.
  from tensorflow.python.framework import load_library as _ll
  from tensorflow.python.lib.io import file_io as _fi
  
  # Get sitepackages directories for the python installation.
  _site_packages_dirs = []
  _site_packages_dirs += [_site.USER_SITE]
  _site_packages_dirs += [_p for _p in _sys.path if 'site-packages' in _p]
  if 'getsitepackages' in dir(_site):
    _site_packages_dirs += _site.getsitepackages()
  
  if 'sysconfig' in dir(_distutils):
    _site_packages_dirs += [_distutils.sysconfig.get_python_lib()]
  
  _site_packages_dirs = list(set(_site_packages_dirs))
  
  # Find the location of this exact file.
  _current_file_location = _inspect.getfile(_inspect.currentframe())
  
  def _running_from_pip_package():
    return any(
        _current_file_location.startswith(dir_) for dir_ in _site_packages_dirs)
  
  if _running_from_pip_package():
    for s in _site_packages_dirs:
      # TODO(gunan): Add sanity checks to loaded modules here.
      plugin_dir = _os.path.join(s, 'tensorflow-plugins')
      if _fi.file_exists(plugin_dir):
        _ll.load_library(plugin_dir)
  
  # These symbols appear because we import the python package which
  # in turn imports from tensorflow.core and tensorflow.python. They
  # must come from this module. So python adds these symbols for the
  # resolution to succeed.
  # pylint: disable=undefined-variable
  try:
    del python
    del core
  except NameError:
    # Don't fail if these modules are not available.
    # For e.g. this file will be originally placed under tensorflow/_api/v1 which
    # does not have 'python', 'core' directories. Then, it will be copied
    # to tensorflow/ which does have these two directories.
    pass
  # Similarly for compiler. Do it separately to make sure we do this even if the
  # others don't exist.
  try:
    del compiler
  except NameError:
    pass
  
  
  # pylint: enable=undefined-variable
  