#coding:utf-8 # Copyright (c) 2019 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. from __future__ import absolute_import from __future__ import division from __future__ import print_function from paddle.fluid.framework import Variable from paddlehub.common.utils import to_list class Signature(object): def __init__(self, name, inputs, outputs, feed_names=None, fetch_names=None, for_predict=False): inputs = to_list(inputs) outputs = to_list(outputs) if not feed_names: feed_names = [""] * len(inputs) feed_names = to_list(feed_names) if len(inputs) != len(feed_names): raise ValueError( "The length of feed_names must be same with inputs") if not fetch_names: fetch_names = [""] * len(outputs) fetch_names = to_list(fetch_names) if len(outputs) != len(fetch_names): raise ValueError( "the length of fetch_names must be same with outputs") self.name = name for item in inputs: if not isinstance(item, Variable): raise TypeError( "Item in inputs list shoule be an instance of fluid.framework.Variable" ) for item in outputs: if not isinstance(item, Variable): raise TypeError( "Item in outputs list shoule be an instance of fluid.framework.Variable" ) self.inputs = inputs self.outputs = outputs self.feed_names = feed_names self.fetch_names = fetch_names self.for_predict = for_predict def create_signature(name="default", inputs=[], outputs=[], feed_names=None, fetch_names=None, for_predict=False): return Signature( name=name, inputs=inputs, outputs=outputs, feed_names=feed_names, fetch_names=fetch_names, for_predict=for_predict)