d6d4c5df84
This attribute is checked in tensorflow/tools/api/tests:module_test and tensorfow/tools/api/tests:api_compatibility_test. PiperOrigin-RevId: 288046622 Change-Id: I9b8cf736a0395b9e90960567b0685db9b5307583
132 lines
4.0 KiB
Python
132 lines
4.0 KiB
Python
# Copyright 2019 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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# LINT.IfChange
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"""TensorFlow root package"""
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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 sys as _sys
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import importlib as _importlib
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import types as _types
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# Since TensorFlow Python code now resides in tensorflow_core but TensorFlow
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# ecosystem code (e.g. estimator, but also even tensorflow) imports tensorflow
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# we need to do forwarding between the two. To do so, we use a lazy loader to
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# load and forward the top level modules. We cannot use the LazyLoader defined
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# by tensorflow at tensorflow/python/util/lazy_loader.py as to use that we would
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# already need to import tensorflow. Hence, we define it inline.
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class _LazyLoader(_types.ModuleType):
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"""Lazily import a module so that we can forward it."""
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# The lint error here is incorrect.
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def __init__(self, local_name, parent_module_globals, name): # pylint: disable=super-on-old-class
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self._local_name = local_name
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self._parent_module_globals = parent_module_globals
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super(_LazyLoader, self).__init__(name)
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def _load(self):
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"""Import the target module and insert it into the parent's namespace."""
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module = _importlib.import_module(self.__name__)
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self._parent_module_globals[self._local_name] = module
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self.__dict__.update(module.__dict__)
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return module
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def __getattr__(self, item):
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module = self._load()
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return getattr(module, item)
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def __dir__(self):
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module = self._load()
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return dir(module)
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def __reduce__(self):
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return __import__, (self.__name__,)
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# Forwarding a module is as simple as lazy loading the module from the new path
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# and then registering it to sys.modules using the old path
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def _forward_module(old_name):
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parts = old_name.split(".")
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parts[0] = parts[0] + "_core"
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local_name = parts[-1]
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existing_name = ".".join(parts)
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_module = _LazyLoader(local_name, globals(), existing_name)
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return _sys.modules.setdefault(old_name, _module)
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# This list should contain all modules _immediately_ under tensorflow
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_top_level_modules = [
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"tensorflow._api",
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"tensorflow.python",
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"tensorflow.tools",
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"tensorflow.core",
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"tensorflow.compiler",
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"tensorflow.lite",
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"tensorflow.keras",
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"tensorflow.compat",
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"tensorflow.summary", # tensorboard
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"tensorflow.examples",
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]
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# Estimator needs to be handled separatedly so we can still allow both
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# import tensorflow_estimator and import tensorflow.estimator work
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# Only in the second case do we actually need to do forwarding, the first case
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# already defines most of the hierarchy and eagerly forwarding would result in
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# an import loop.
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if "tensorflow_estimator" not in _sys.modules:
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_root_estimator = False
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_top_level_modules.append("tensorflow.estimator")
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else:
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_root_estimator = True
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# Lazy load all of the _top_level_modules, we don't need their names anymore
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for _m in _top_level_modules:
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_forward_module(_m)
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# We still need all the names that are toplevel on tensorflow_core
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from tensorflow_core import *
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_major_api_version = 2
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# These should not be visible in the main tf module.
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try:
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del core
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except NameError:
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pass
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try:
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del python
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except NameError:
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pass
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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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try:
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del tools
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except NameError:
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pass
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try:
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del examples
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except NameError:
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pass
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# LINT.ThenChange(//tensorflow/virtual_root_template_v1.__init__.py.oss)
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