162 lines
6.0 KiB
Python
162 lines
6.0 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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"""
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Top-level module of TensorFlow. By convention, we refer to this module as
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`tf` instead of `tensorflow`, following the common practice of importing
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TensorFlow via the command `import tensorflow as tf`.
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The primary function of this module is to import all of the public TensorFlow
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interfaces into a single place. The interfaces themselves are located in
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sub-modules, as described below.
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Note that the file `__init__.py` in the TensorFlow source code tree is actually
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only a placeholder to enable test cases to run. The TensorFlow build replaces
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this file with a file generated from [`api_template.__init__.py`](https://www.github.com/tensorflow/tensorflow/blob/master/tensorflow/api_template.__init__.py)
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"""
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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 logging as _logging
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import os as _os
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import site as _site
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import six as _six
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import sys as _sys
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from tensorflow.python.tools import module_util as _module_util
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from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader
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# Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.
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_os.environ['TF2_BEHAVIOR'] = '1'
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from tensorflow.python import tf2 as _tf2
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_tf2.enable()
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# API IMPORTS PLACEHOLDER
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# WRAPPER_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 = _sys.modules[__name__].bitwise
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_tf_api_dir = _os.path.dirname(_os.path.dirname(_API_MODULE.__file__))
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_current_module = _sys.modules[__name__]
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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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# Hook external TensorFlow modules.
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# Import compat before trying to import summary from tensorboard, so that
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# reexport_tf_summary can get compat from sys.modules. Only needed if using
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# lazy loading.
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_current_module.compat.v2 # pylint: disable=pointless-statement
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try:
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from tensorboard.summary._tf import summary
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_current_module.__path__ = (
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[_module_util.get_parent_dir(summary)] + _current_module.__path__)
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setattr(_current_module, "summary", summary)
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except ImportError:
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_logging.warning(
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"Limited tf.summary API due to missing TensorBoard installation.")
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# Lazy-load estimator.
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_estimator_module = "tensorflow_estimator.python.estimator.api._v2.estimator"
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estimator = _LazyLoader("estimator", globals(), _estimator_module)
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_module_dir = _module_util.get_parent_dir_for_name(_estimator_module)
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if _module_dir:
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_current_module.__path__ = [_module_dir] + _current_module.__path__
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setattr(_current_module, "estimator", estimator)
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try:
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from .python.keras.api._v2 import keras
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_current_module.__path__ = (
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[_module_util.get_parent_dir(keras)] + _current_module.__path__)
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setattr(_current_module, "keras", keras)
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except ImportError:
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pass
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# Explicitly import lazy-loaded modules to support autocompletion.
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# pylint: disable=g-import-not-at-top
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if not _six.PY2:
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import typing as _typing
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if _typing.TYPE_CHECKING:
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from tensorflow_estimator.python.estimator.api._v2 import estimator
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# pylint: enable=g-import-not-at-top
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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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_major_api_version = 2
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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 += [] if _site.USER_SITE is None else [_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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# TODO(gunan): Add sanity checks to loaded modules here.
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for _s in _site_packages_dirs:
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# Load first party dynamic kernels.
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_main_dir = _os.path.join(_s, 'tensorflow_core/core/kernels')
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if _fi.file_exists(_main_dir):
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_ll.load_library(_main_dir)
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# Load third party dynamic kernels.
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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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# 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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setattr(_current_module, "losses", losses)
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setattr(_current_module, "metrics", metrics)
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setattr(_current_module, "optimizers", optimizers)
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setattr(_current_module, "initializers", initializers)
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# pylint: enable=undefined-variable
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# __all__ PLACEHOLDER
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