laywerrobot/lib/python3.6/site-packages/tensorflow/python/keras/layers/serialization.py
2020-08-27 21:55:39 +02:00

64 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')