64 lines
2.6 KiB
Python
64 lines
2.6 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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"""Classes and functions implementing to Model SavedModel serialization."""
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from tensorflow.python.keras.saving import saving_utils
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from tensorflow.python.keras.saving.saved_model import constants
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from tensorflow.python.keras.saving.saved_model import layer_serialization
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from tensorflow.python.keras.saving.saved_model import save_impl
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class ModelSavedModelSaver(layer_serialization.LayerSavedModelSaver):
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"""Model SavedModel serialization."""
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@property
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def object_identifier(self):
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return constants.MODEL_IDENTIFIER
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def _python_properties_internal(self):
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metadata = super(ModelSavedModelSaver, self)._python_properties_internal()
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# Network stateful property is dependent on the child layers.
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metadata.pop('stateful')
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metadata['is_graph_network'] = self.obj._is_graph_network # pylint: disable=protected-access
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metadata['save_spec'] = self.obj._get_save_spec(dynamic_batch=False) # pylint: disable=protected-access
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metadata.update(
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saving_utils.model_metadata(
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self.obj, include_optimizer=True, require_config=False))
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return metadata
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def _get_serialized_attributes_internal(self, serialization_cache):
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default_signature = None
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# Create a default signature function if this is the only object in the
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# cache (i.e. this is the root level object).
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if len(serialization_cache[constants.KERAS_CACHE_KEY]) == 1:
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default_signature = save_impl.default_save_signature(self.obj)
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# Other than the default signature function, all other attributes match with
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# the ones serialized by Layer.
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objects, functions = (
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super(ModelSavedModelSaver, self)._get_serialized_attributes_internal(
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serialization_cache))
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functions['_default_save_signature'] = default_signature
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return objects, functions
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class SequentialSavedModelSaver(ModelSavedModelSaver):
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@property
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def object_identifier(self):
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return constants.SEQUENTIAL_IDENTIFIER
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