# Copyright (c) 2020 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. # pylint: disable=doc-string-missing from paddle_serving_server.pserving import Op from paddle_serving_server.pserving import Channel from paddle_serving_server.pserving import PyServer class CNNOp(Op): def preprocess(self, input_data): pass def postprocess(self, output_data): pass read_channel = Channel(consumer=2) cnn_out_channel = Channel() bow_out_channel = Channel() combine_out_channel = Channel() cnn_op = Op(inputs=[read_channel], outputs=[cnn_out_channel], server_model="./imdb_cnn_model", server_port="9393", device="cpu", client_config="imdb_cnn_client_conf/serving_client_conf.prototxt", server_name="127.0.0.1:9393", fetch_names=["acc", "cost", "prediction"]) bow_op = Op(inputs=[read_channel], outputs=[bow_out_channel], server_model="./imdb_bow_model", server_port="9292", device="cpu", client_config="imdb_bow_client_conf/serving_client_conf.prototxt", server_name="127.0.0.1:9292", fetch_names=["acc", "cost", "prediction"]) combine_op = Op(inputs=[cnn_out_channel, bow_out_channel], outputs=[combine_out_channel]) pyserver = PyServer() pyserver.add_channel(read_channel) pyserver.add_cnannel(cnn_out_channel) pyserver.add_cnannel(bow_out_channel) pyserver.add_cnannel(combine_out_channel) pyserver.add_op(cnn_op) pyserver.add_op(bow_op) pyserver.add_op(combine_op) pyserver.run_server()