# 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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"""Bring in all of the public TensorFlow interface into this module."""
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from __future__ import absolute_import as _absolute_import
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from __future__ import division as _division
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from __future__ import print_function as _print_function
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import distutils as _distutils
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import inspect as _inspect
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import os as _os
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import site as _site
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import sys as _sys
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# API IMPORTS PLACEHOLDER
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# Make sure directory containing top level submodules is in
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# the __path__ so that "from tensorflow.foo import bar" works.
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# We're using bitwise, but there's nothing special about that.
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_API_MODULE = bitwise # pylint: disable=undefined-variable
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_current_module = _sys.modules[__name__]
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_tf_api_dir = _os.path.dirname(_os.path.dirname(_API_MODULE.__file__))
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if not hasattr(_current_module, '__path__'):
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__path__ = [_tf_api_dir]
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elif _tf_api_dir not in __path__:
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__path__.append(_tf_api_dir)
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# pylint: disable=g-bad-import-order
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from tensorflow.python.tools import component_api_helper as _component_api_helper
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_component_api_helper.package_hook(
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parent_package_str=__name__,
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child_package_str=('tensorboard.summary._tf.summary'),
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error_msg="Limited tf.summary API due to missing TensorBoard installation")
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_component_api_helper.package_hook(
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parent_package_str=__name__,
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child_package_str=(
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'tensorflow_estimator.python.estimator.api._v2.estimator'))
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if not hasattr(_current_module, 'estimator'):
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_component_api_helper.package_hook(
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parent_package_str=__name__,
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child_package_str=(
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'tensorflow_estimator.python.estimator.api.estimator'))
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_component_api_helper.package_hook(
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parent_package_str=__name__,
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child_package_str=('tensorflow.python.keras.api._v2.keras'))
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# Enable TF2 behaviors
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from tensorflow.python.compat import v2_compat as _compat # pylint: disable=g-import-not-at-top
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_compat.enable_v2_behavior()
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# Load all plugin libraries from site-packages/tensorflow-plugins if we are
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# running under pip.
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# TODO(gunan): Enable setting an environment variable to define arbitrary plugin
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# directories.
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# TODO(gunan): Find a better location for this code snippet.
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from tensorflow.python.framework import load_library as _ll
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from tensorflow.python.lib.io import file_io as _fi
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# Get sitepackages directories for the python installation.
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_site_packages_dirs = []
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_site_packages_dirs += [_site.USER_SITE]
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_site_packages_dirs += [_p for _p in _sys.path if 'site-packages' in _p]
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if 'getsitepackages' in dir(_site):
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_site_packages_dirs += _site.getsitepackages()
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if 'sysconfig' in dir(_distutils):
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_site_packages_dirs += [_distutils.sysconfig.get_python_lib()]
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_site_packages_dirs = list(set(_site_packages_dirs))
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# Find the location of this exact file.
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_current_file_location = _inspect.getfile(_inspect.currentframe())
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def _running_from_pip_package():
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return any(
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_current_file_location.startswith(dir_) for dir_ in _site_packages_dirs)
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if _running_from_pip_package():
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for s in _site_packages_dirs:
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# TODO(gunan): Add sanity checks to loaded modules here.
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plugin_dir = _os.path.join(s, 'tensorflow-plugins')
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if _fi.file_exists(plugin_dir):
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_ll.load_library(plugin_dir)
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# These symbols appear because we import the python package which
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# in turn imports from tensorflow.core and tensorflow.python. They
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# must come from this module. So python adds these symbols for the
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# resolution to succeed.
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# pylint: disable=undefined-variable
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try:
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del python
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del core
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except NameError:
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# Don't fail if these modules are not available.
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# For e.g. this file will be originally placed under tensorflow/_api/v1 which
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# does not have 'python', 'core' directories. Then, it will be copied
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# to tensorflow/ which does have these two directories.
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pass
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# Similarly for compiler. Do it separately to make sure we do this even if the
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# others don't exist.
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try:
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del compiler
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except NameError:
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pass
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# Add module aliases
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if hasattr(_current_module, 'keras'):
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losses = keras.losses
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metrics = keras.metrics
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optimizers = keras.optimizers
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initializers = keras.initializers
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# pylint: enable=undefined-variable
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