# 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. from paddle_serving_client.pipeline import PipelineClient import numpy as np from line_profiler import LineProfiler client = PipelineClient() client.connect('localhost:8080') lp = LineProfiler() lp_wrapper = lp(client.predict) words = 'i am very sad | 0' for i in range(1): fetch_map = lp_wrapper(feed_dict={"words": words}, fetch=["prediction"]) print(fetch_map) #lp.print_stats()