xref: /aosp_15_r20/external/tensorflow/tensorflow/python/keras/saving/saved_model/constants.py (revision b6fb3261f9314811a0f4371741dbb8839866f948)
1# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7#     http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ==============================================================================
15"""Constants for Keras SavedModel serialization."""
16
17# Namespace used to store all attributes added during serialization.
18# e.g. the list of layers can be accessed using `loaded.keras_api.layers`, in an
19# object loaded from `tf.saved_model.load()`.
20KERAS_ATTR = 'keras_api'
21
22# Keys for the serialization cache.
23# Maps to the keras serialization dict {Layer --> SerializedAttributes object}
24KERAS_CACHE_KEY = 'keras_serialized_attributes'
25
26
27# Name of Keras metadata file stored in the SavedModel.
28SAVED_METADATA_PATH = 'keras_metadata.pb'
29
30# Names of SavedObject Keras identifiers.
31INPUT_LAYER_IDENTIFIER = '_tf_keras_input_layer'
32LAYER_IDENTIFIER = '_tf_keras_layer'
33METRIC_IDENTIFIER = '_tf_keras_metric'
34MODEL_IDENTIFIER = '_tf_keras_model'
35NETWORK_IDENTIFIER = '_tf_keras_network'
36RNN_LAYER_IDENTIFIER = '_tf_keras_rnn_layer'
37SEQUENTIAL_IDENTIFIER = '_tf_keras_sequential'
38
39KERAS_OBJECT_IDENTIFIERS = (
40    INPUT_LAYER_IDENTIFIER,
41    LAYER_IDENTIFIER,
42    METRIC_IDENTIFIER,
43    MODEL_IDENTIFIER,
44    NETWORK_IDENTIFIER,
45    RNN_LAYER_IDENTIFIER,
46    SEQUENTIAL_IDENTIFIER,
47)
48