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