1# Copyright 2020 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"""Classes and functions implementing Metrics SavedModel serialization."""
16
17from tensorflow.python.keras.saving.saved_model import constants
18from tensorflow.python.keras.saving.saved_model import layer_serialization
19from tensorflow.python.keras.utils import generic_utils
20from tensorflow.python.trackable import data_structures
21
22
23class MetricSavedModelSaver(layer_serialization.LayerSavedModelSaver):
24 """Metric serialization."""
25
26 @property
27 def object_identifier(self):
28 return constants.METRIC_IDENTIFIER
29
30 def _python_properties_internal(self):
31 metadata = dict(
32 class_name=generic_utils.get_registered_name(type(self.obj)),
33 name=self.obj.name,
34 dtype=self.obj.dtype)
35 metadata.update(layer_serialization.get_serialized(self.obj))
36 if self.obj._build_input_shape is not None: # pylint: disable=protected-access
37 metadata['build_input_shape'] = self.obj._build_input_shape # pylint: disable=protected-access
38 return metadata
39
40 def _get_serialized_attributes_internal(self, unused_serialization_cache):
41 return (dict(variables=data_structures.wrap_or_unwrap(self.obj.variables)),
42 dict()) # TODO(b/135550038): save functions to enable saving
43 # custom metrics.