64 lines
2.6 KiB
Python
64 lines
2.6 KiB
Python
# Copyright 2015 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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"""Layer serialization/deserialization functions.
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"""
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# pylint: disable=wildcard-import
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# pylint: disable=unused-import
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.python.keras.engine.input_layer import Input
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from tensorflow.python.keras.engine.input_layer import InputLayer
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from tensorflow.python.keras.layers.advanced_activations import *
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from tensorflow.python.keras.layers.convolutional import *
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from tensorflow.python.keras.layers.convolutional_recurrent import *
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from tensorflow.python.keras.layers.core import *
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from tensorflow.python.keras.layers.cudnn_recurrent import *
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from tensorflow.python.keras.layers.embeddings import *
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from tensorflow.python.keras.layers.local import *
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from tensorflow.python.keras.layers.merge import *
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from tensorflow.python.keras.layers.noise import *
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from tensorflow.python.keras.layers.normalization import *
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from tensorflow.python.keras.layers.pooling import *
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from tensorflow.python.keras.layers.recurrent import *
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from tensorflow.python.keras.layers.wrappers import *
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from tensorflow.python.keras.utils.generic_utils import deserialize_keras_object
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def serialize(layer):
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return {'class_name': layer.__class__.__name__, 'config': layer.get_config()}
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def deserialize(config, custom_objects=None):
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"""Instantiates a layer from a config dictionary.
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Arguments:
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config: dict of the form {'class_name': str, 'config': dict}
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custom_objects: dict mapping class names (or function names)
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of custom (non-Keras) objects to class/functions
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Returns:
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Layer instance (may be Model, Sequential, Layer...)
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"""
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from tensorflow.python.keras import models # pylint: disable=g-import-not-at-top
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globs = globals() # All layers.
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globs['Model'] = models.Model
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globs['Sequential'] = models.Sequential
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return deserialize_keras_object(
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config,
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module_objects=globs,
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custom_objects=custom_objects,
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printable_module_name='layer')
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