# Copyright (c) 2016 PaddlePaddle 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. import collections from paddle.proto.ModelConfig_pb2 import ModelConfig import layer as v2_layer __all__ = ['Topology'] class Topology(object): """ Topology is used to store the information about all layers and network configs. """ def __init__(self, layers): if not isinstance(layers, collections.Sequence): __check_layer_type__(layers) layers = [layers] for layer in layers: __check_layer_type__(layer) self.layers = layers self.__model_config__ = v2_layer.parse_network(*layers) assert isinstance(self.__model_config__, ModelConfig) def proto(self): return self.__model_config__ def get_layer(self, name): """ get v2.Layer Class instance by layer name :param name: :return: """ result_layer = [] def find_layer_by_name(layer, layer_name): if len(result_layer) == 1: return elif layer.name == layer_name: result_layer.append(layer) else: for parent_layer in layer.__parent_layers__.values(): find_layer_by_name(parent_layer, layer_name) for layer in self.layers: find_layer_by_name(layer, name) assert len(result_layer) == 1 return result_layer[0] def data_layers(self): """ get all data layer :return: """ data_layers = set() def find_data_layer(layer): if isinstance(layer, v2_layer.DataLayerV2): data_layers.add(layer) for parent_layer in layer.__parent_layers__.values(): find_data_layer(parent_layer) for layer in self.layers: find_data_layer(layer) return data_layers def data_type(self): """ get data_type from proto, such as: [('image', dense_vector(768)), ('label', integer_value(10))] """ return [(data_layer.name, data_layer.type) for data_layer in self.data_layers()] def __check_layer_type__(layer): if not isinstance(layer, v2_layer.LayerV2): raise ValueError('layer should have type paddle.layer.Layer')