提交 f4280211 编写于 作者: S Scott Zhu 提交者: TensorFlower Gardener

Fork the object_identity related class to Keras.

PiperOrigin-RevId: 339948109
Change-Id: Ia2612efa66b48ac5784d2a53cdeb0ce9001f4025
上级 662c0c2e
......@@ -96,6 +96,7 @@ py_library(
"//tensorflow/python/distribute:multi_worker_util",
"//tensorflow/python/keras/engine:keras_tensor",
"//tensorflow/python/keras/utils:control_flow_util",
"//tensorflow/python/keras/utils:object_identity",
"//tensorflow/python/keras/utils:tf_contextlib",
"//tensorflow/python/keras/utils:tf_inspect",
],
......
......@@ -55,6 +55,7 @@ from tensorflow.python.framework import tensor_util
from tensorflow.python.keras import backend_config
from tensorflow.python.keras.engine import keras_tensor
from tensorflow.python.keras.utils import control_flow_util
from tensorflow.python.keras.utils import object_identity
from tensorflow.python.keras.utils import tf_contextlib
from tensorflow.python.keras.utils import tf_inspect
from tensorflow.python.ops import array_ops
......@@ -84,7 +85,6 @@ from tensorflow.python.training.tracking import util as tracking_util
from tensorflow.python.util import dispatch
from tensorflow.python.util import keras_deps
from tensorflow.python.util import nest
from tensorflow.python.util import object_identity
from tensorflow.python.util.tf_export import keras_export
from tensorflow.tools.docs import doc_controls
......
......@@ -159,6 +159,7 @@ py_library(
"//tensorflow/python/keras/saving",
"//tensorflow/python/keras/utils:generic_utils",
"//tensorflow/python/keras/utils:layer_utils",
"//tensorflow/python/keras/utils:object_identity",
"//tensorflow/python/keras/utils:tf_utils",
"//tensorflow/python/keras/utils:version_utils",
"//tensorflow/python/module",
......@@ -206,6 +207,7 @@ py_library(
"//tensorflow/python:dtypes",
"//tensorflow/python:lib",
"//tensorflow/python:tensor_spec",
"//tensorflow/python/keras/utils:object_identity",
"@six_archive//:six",
],
)
......
......@@ -62,6 +62,7 @@ from tensorflow.python.keras.mixed_precision import policy
from tensorflow.python.keras.saving.saved_model import layer_serialization
from tensorflow.python.keras.utils import generic_utils
from tensorflow.python.keras.utils import layer_utils
from tensorflow.python.keras.utils import object_identity
from tensorflow.python.keras.utils import tf_inspect
from tensorflow.python.keras.utils import tf_utils
from tensorflow.python.keras.utils import version_utils
......@@ -82,7 +83,6 @@ from tensorflow.python.training.tracking import data_structures
from tensorflow.python.training.tracking import tracking
from tensorflow.python.util import compat
from tensorflow.python.util import nest
from tensorflow.python.util import object_identity
from tensorflow.python.util.tf_export import get_canonical_name_for_symbol
from tensorflow.python.util.tf_export import keras_export
from tensorflow.tools.docs import doc_controls
......
......@@ -52,6 +52,7 @@ from tensorflow.python.keras.mixed_precision import policy
from tensorflow.python.keras.saving.saved_model import layer_serialization
from tensorflow.python.keras.utils import generic_utils
from tensorflow.python.keras.utils import layer_utils
from tensorflow.python.keras.utils import object_identity
from tensorflow.python.keras.utils import tf_inspect
from tensorflow.python.keras.utils import tf_utils
# A module that only depends on `keras.layers` import these from here.
......@@ -68,7 +69,6 @@ from tensorflow.python.training.tracking import base as trackable
from tensorflow.python.training.tracking import data_structures
from tensorflow.python.training.tracking import tracking
from tensorflow.python.util import nest
from tensorflow.python.util import object_identity
from tensorflow.tools.docs import doc_controls
......
......@@ -25,11 +25,11 @@ from tensorflow.python.framework import sparse_tensor
from tensorflow.python.framework import tensor_shape
from tensorflow.python.framework import tensor_spec
from tensorflow.python.framework import type_spec as type_spec_module
from tensorflow.python.keras.utils import object_identity
from tensorflow.python.ops import array_ops
from tensorflow.python.ops.ragged import ragged_operators # pylint: disable=unused-import
from tensorflow.python.ops.ragged import ragged_tensor
from tensorflow.python.util import nest
from tensorflow.python.util import object_identity
# pylint: disable=g-classes-have-attributes
......
......@@ -92,6 +92,7 @@ py_library(
srcs = ["tf_utils.py"],
srcs_version = "PY2AND3",
deps = [
":object_identity",
"//tensorflow/python:composite_tensor",
"//tensorflow/python:control_flow_ops",
"//tensorflow/python:framework_ops",
......@@ -210,6 +211,13 @@ py_library(
],
)
py_library(
name = "object_identity",
srcs = ["object_identity.py"],
srcs_version = "PY2AND3",
deps = [],
)
py_library(
name = "tf_contextlib",
srcs = ["tf_contextlib.py"],
......
"""Utilities for collecting objects based on "is" comparison."""
# 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.
# ==============================================================================
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections.abc as collections_abc
import weakref
# LINT.IfChange
class _ObjectIdentityWrapper(object):
"""Wraps an object, mapping __eq__ on wrapper to "is" on wrapped.
Since __eq__ is based on object identity, it's safe to also define __hash__
based on object ids. This lets us add unhashable types like trackable
_ListWrapper objects to object-identity collections.
"""
__slots__ = ["_wrapped", "__weakref__"]
def __init__(self, wrapped):
self._wrapped = wrapped
@property
def unwrapped(self):
return self._wrapped
def _assert_type(self, other):
if not isinstance(other, _ObjectIdentityWrapper):
raise TypeError("Cannot compare wrapped object with unwrapped object")
def __lt__(self, other):
self._assert_type(other)
return id(self._wrapped) < id(other._wrapped) # pylint: disable=protected-access
def __gt__(self, other):
self._assert_type(other)
return id(self._wrapped) > id(other._wrapped) # pylint: disable=protected-access
def __eq__(self, other):
if other is None:
return False
self._assert_type(other)
return self._wrapped is other._wrapped # pylint: disable=protected-access
def __ne__(self, other):
return not self.__eq__(other)
def __hash__(self):
# Wrapper id() is also fine for weakrefs. In fact, we rely on
# id(weakref.ref(a)) == id(weakref.ref(a)) and weakref.ref(a) is
# weakref.ref(a) in _WeakObjectIdentityWrapper.
return id(self._wrapped)
def __repr__(self):
return "<{} wrapping {!r}>".format(type(self).__name__, self._wrapped)
class _WeakObjectIdentityWrapper(_ObjectIdentityWrapper):
__slots__ = ()
def __init__(self, wrapped):
super(_WeakObjectIdentityWrapper, self).__init__(weakref.ref(wrapped))
@property
def unwrapped(self):
return self._wrapped()
class Reference(_ObjectIdentityWrapper):
"""Reference that refers an object.
```python
x = [1]
y = [1]
x_ref1 = Reference(x)
x_ref2 = Reference(x)
y_ref2 = Reference(y)
print(x_ref1 == x_ref2)
==> True
print(x_ref1 == y)
==> False
```
"""
__slots__ = ()
# Disabling super class' unwrapped field.
unwrapped = property()
def deref(self):
"""Returns the referenced object.
```python
x_ref = Reference(x)
print(x is x_ref.deref())
==> True
```
"""
return self._wrapped
class ObjectIdentityDictionary(collections_abc.MutableMapping):
"""A mutable mapping data structure which compares using "is".
This is necessary because we have trackable objects (_ListWrapper) which
have behavior identical to built-in Python lists (including being unhashable
and comparing based on the equality of their contents by default).
"""
__slots__ = ["_storage"]
def __init__(self):
self._storage = {}
def _wrap_key(self, key):
return _ObjectIdentityWrapper(key)
def __getitem__(self, key):
return self._storage[self._wrap_key(key)]
def __setitem__(self, key, value):
self._storage[self._wrap_key(key)] = value
def __delitem__(self, key):
del self._storage[self._wrap_key(key)]
def __len__(self):
return len(self._storage)
def __iter__(self):
for key in self._storage:
yield key.unwrapped
def __repr__(self):
return "ObjectIdentityDictionary(%s)" % repr(self._storage)
class ObjectIdentityWeakKeyDictionary(ObjectIdentityDictionary):
"""Like weakref.WeakKeyDictionary, but compares objects with "is"."""
__slots__ = ["__weakref__"]
def _wrap_key(self, key):
return _WeakObjectIdentityWrapper(key)
def __len__(self):
# Iterate, discarding old weak refs
return len(list(self._storage))
def __iter__(self):
keys = self._storage.keys()
for key in keys:
unwrapped = key.unwrapped
if unwrapped is None:
del self[key]
else:
yield unwrapped
class ObjectIdentitySet(collections_abc.MutableSet):
"""Like the built-in set, but compares objects with "is"."""
__slots__ = ["_storage", "__weakref__"]
def __init__(self, *args):
self._storage = set(self._wrap_key(obj) for obj in list(*args))
@staticmethod
def _from_storage(storage):
result = ObjectIdentitySet()
result._storage = storage # pylint: disable=protected-access
return result
def _wrap_key(self, key):
return _ObjectIdentityWrapper(key)
def __contains__(self, key):
return self._wrap_key(key) in self._storage
def discard(self, key):
self._storage.discard(self._wrap_key(key))
def add(self, key):
self._storage.add(self._wrap_key(key))
def update(self, items):
self._storage.update([self._wrap_key(item) for item in items])
def clear(self):
self._storage.clear()
def intersection(self, items):
return self._storage.intersection([self._wrap_key(item) for item in items])
def difference(self, items):
return ObjectIdentitySet._from_storage(
self._storage.difference([self._wrap_key(item) for item in items]))
def __len__(self):
return len(self._storage)
def __iter__(self):
keys = list(self._storage)
for key in keys:
yield key.unwrapped
class ObjectIdentityWeakSet(ObjectIdentitySet):
"""Like weakref.WeakSet, but compares objects with "is"."""
__slots__ = ()
def _wrap_key(self, key):
return _WeakObjectIdentityWrapper(key)
def __len__(self):
# Iterate, discarding old weak refs
return len([_ for _ in self])
def __iter__(self):
keys = list(self._storage)
for key in keys:
unwrapped = key.unwrapped
if unwrapped is None:
self.discard(key)
else:
yield unwrapped
# LINT.ThenChange(//tensorflow/python/util/object_identity.py)
......@@ -32,13 +32,13 @@ from tensorflow.python.framework import tensor_util
from tensorflow.python.framework import type_spec
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.engine import keras_tensor
from tensorflow.python.keras.utils import object_identity
from tensorflow.python.keras.utils import tf_contextlib
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import variables
from tensorflow.python.ops.ragged import ragged_tensor
from tensorflow.python.ops.ragged import ragged_tensor_value
from tensorflow.python.util import nest
from tensorflow.python.util import object_identity
def is_tensor_or_tensor_list(v):
......
......@@ -22,6 +22,7 @@ import weakref
from tensorflow.python.util.compat import collections_abc
# LINT.IfChange
class _ObjectIdentityWrapper(object):
"""Wraps an object, mapping __eq__ on wrapper to "is" on wrapped.
......@@ -244,3 +245,4 @@ class ObjectIdentityWeakSet(ObjectIdentitySet):
self.discard(key)
else:
yield unwrapped
# LINT.ThenChange(//tensorflow/python/keras/utils/object_identity.py)
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