Module keras.saving.saved_model.model_serialization
Classes and functions implementing to Model SavedModel serialization.
Expand source code
# Copyright 2019 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.
# ==============================================================================
"""Classes and functions implementing to Model SavedModel serialization."""
from keras.saving import saving_utils
from keras.saving.saved_model import constants
from keras.saving.saved_model import layer_serialization
from keras.saving.saved_model import save_impl
class ModelSavedModelSaver(layer_serialization.LayerSavedModelSaver):
"""Model SavedModel serialization."""
@property
def object_identifier(self):
return constants.MODEL_IDENTIFIER
def _python_properties_internal(self):
metadata = super(ModelSavedModelSaver, self)._python_properties_internal()
# Network stateful property is dependent on the child layers.
metadata.pop('stateful')
metadata['is_graph_network'] = self.obj._is_graph_network # pylint: disable=protected-access
spec = self.obj.save_spec(dynamic_batch=False)
metadata['full_save_spec'] = spec
# save_spec is saved for forward compatibility on older TF versions.
metadata['save_spec'] = None if spec is None else spec[0][0]
metadata.update(
saving_utils.model_metadata(
self.obj, include_optimizer=True, require_config=False))
return metadata
def _get_serialized_attributes_internal(self, serialization_cache):
default_signature = None
# Create a default signature function if this is the only object in the
# cache (i.e. this is the root level object).
if len(serialization_cache[constants.KERAS_CACHE_KEY]) == 1:
default_signature = save_impl.default_save_signature(self.obj)
# Other than the default signature function, all other attributes match with
# the ones serialized by Layer.
objects, functions = (
super(ModelSavedModelSaver, self)._get_serialized_attributes_internal(
serialization_cache))
functions['_default_save_signature'] = default_signature
return objects, functions
class SequentialSavedModelSaver(ModelSavedModelSaver):
@property
def object_identifier(self):
return constants.SEQUENTIAL_IDENTIFIER
Classes
class ModelSavedModelSaver (obj)
-
Model SavedModel serialization.
Expand source code
class ModelSavedModelSaver(layer_serialization.LayerSavedModelSaver): """Model SavedModel serialization.""" @property def object_identifier(self): return constants.MODEL_IDENTIFIER def _python_properties_internal(self): metadata = super(ModelSavedModelSaver, self)._python_properties_internal() # Network stateful property is dependent on the child layers. metadata.pop('stateful') metadata['is_graph_network'] = self.obj._is_graph_network # pylint: disable=protected-access spec = self.obj.save_spec(dynamic_batch=False) metadata['full_save_spec'] = spec # save_spec is saved for forward compatibility on older TF versions. metadata['save_spec'] = None if spec is None else spec[0][0] metadata.update( saving_utils.model_metadata( self.obj, include_optimizer=True, require_config=False)) return metadata def _get_serialized_attributes_internal(self, serialization_cache): default_signature = None # Create a default signature function if this is the only object in the # cache (i.e. this is the root level object). if len(serialization_cache[constants.KERAS_CACHE_KEY]) == 1: default_signature = save_impl.default_save_signature(self.obj) # Other than the default signature function, all other attributes match with # the ones serialized by Layer. objects, functions = ( super(ModelSavedModelSaver, self)._get_serialized_attributes_internal( serialization_cache)) functions['_default_save_signature'] = default_signature return objects, functions
Ancestors
Subclasses
Inherited members
class SequentialSavedModelSaver (obj)
-
Model SavedModel serialization.
Expand source code
class SequentialSavedModelSaver(ModelSavedModelSaver): @property def object_identifier(self): return constants.SEQUENTIAL_IDENTIFIER
Ancestors
Inherited members