48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
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# 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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"""Constants for Keras SavedModel serialization."""
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# Namespace used to store all attributes added during serialization.
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# e.g. the list of layers can be accessed using `loaded.keras_api.layers`, in an
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# object loaded from `tf.saved_model.load()`.
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KERAS_ATTR = 'keras_api'
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# Keys for the serialization cache.
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# Maps to the keras serialization dict {Layer --> SerializedAttributes object}
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KERAS_CACHE_KEY = 'keras_serialized_attributes'
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# Name of Keras metadata file stored in the SavedModel.
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SAVED_METADATA_PATH = 'keras_metadata.pb'
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# Names of SavedObject Keras identifiers.
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INPUT_LAYER_IDENTIFIER = '_tf_keras_input_layer'
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LAYER_IDENTIFIER = '_tf_keras_layer'
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METRIC_IDENTIFIER = '_tf_keras_metric'
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MODEL_IDENTIFIER = '_tf_keras_model'
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NETWORK_IDENTIFIER = '_tf_keras_network'
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RNN_LAYER_IDENTIFIER = '_tf_keras_rnn_layer'
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SEQUENTIAL_IDENTIFIER = '_tf_keras_sequential'
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KERAS_OBJECT_IDENTIFIERS = (
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INPUT_LAYER_IDENTIFIER,
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LAYER_IDENTIFIER,
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METRIC_IDENTIFIER,
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MODEL_IDENTIFIER,
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NETWORK_IDENTIFIER,
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RNN_LAYER_IDENTIFIER,
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SEQUENTIAL_IDENTIFIER,
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)
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