48 lines
1.8 KiB
Python
48 lines
1.8 KiB
Python
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# Copyright 2020 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 Metrics SavedModel serialization."""
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import tensorflow.compat.v2 as tf
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from keras.saving import object_registration
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from keras.saving.legacy.saved_model import constants
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from keras.saving.legacy.saved_model import layer_serialization
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class MetricSavedModelSaver(layer_serialization.LayerSavedModelSaver):
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"""Metric serialization."""
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@property
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def object_identifier(self):
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return constants.METRIC_IDENTIFIER
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def _python_properties_internal(self):
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metadata = dict(
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class_name=object_registration.get_registered_name(type(self.obj)),
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name=self.obj.name,
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dtype=self.obj.dtype,
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)
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metadata.update(layer_serialization.get_serialized(self.obj))
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if self.obj._build_input_shape is not None:
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metadata["build_input_shape"] = self.obj._build_input_shape
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return metadata
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def _get_serialized_attributes_internal(self, unused_serialization_cache):
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return (
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dict(variables=tf.__internal__.tracking.wrap(self.obj.variables)),
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# TODO(b/135550038): save functions to enable saving custom metrics.
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{},
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)
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