Module keras.saving.saved_model.metric_serialization
Classes and functions implementing Metrics SavedModel serialization.
Expand source code
# Copyright 2020 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 Metrics SavedModel serialization."""
import tensorflow.compat.v2 as tf
from keras.saving.saved_model import constants
from keras.saving.saved_model import layer_serialization
from keras.utils import generic_utils
class MetricSavedModelSaver(layer_serialization.LayerSavedModelSaver):
"""Metric serialization."""
@property
def object_identifier(self):
return constants.METRIC_IDENTIFIER
def _python_properties_internal(self):
metadata = dict(
class_name=generic_utils.get_registered_name(type(self.obj)),
name=self.obj.name,
dtype=self.obj.dtype)
metadata.update(layer_serialization.get_serialized(self.obj))
if self.obj._build_input_shape is not None: # pylint: disable=protected-access
metadata['build_input_shape'] = self.obj._build_input_shape # pylint: disable=protected-access
return metadata
def _get_serialized_attributes_internal(self, unused_serialization_cache):
return (dict(variables=tf.__internal__.tracking.wrap(self.obj.variables)),
dict()) # TODO(b/135550038): save functions to enable saving
# custom metrics.
Classes
class MetricSavedModelSaver (obj)
-
Metric serialization.
Expand source code
class MetricSavedModelSaver(layer_serialization.LayerSavedModelSaver): """Metric serialization.""" @property def object_identifier(self): return constants.METRIC_IDENTIFIER def _python_properties_internal(self): metadata = dict( class_name=generic_utils.get_registered_name(type(self.obj)), name=self.obj.name, dtype=self.obj.dtype) metadata.update(layer_serialization.get_serialized(self.obj)) if self.obj._build_input_shape is not None: # pylint: disable=protected-access metadata['build_input_shape'] = self.obj._build_input_shape # pylint: disable=protected-access return metadata def _get_serialized_attributes_internal(self, unused_serialization_cache): return (dict(variables=tf.__internal__.tracking.wrap(self.obj.variables)), dict()) # TODO(b/135550038): save functions to enable saving # custom metrics.
Ancestors
Inherited members