# 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_client import Client from paddle_serving_app.reader import IMDBDataset import sys import numpy as np client = Client() client.load_client_config(sys.argv[1]) client.connect(["127.0.0.1:9292"]) # you can define any english sentence or dataset here # This example reuses imdb reader in training, you # can define your own data preprocessing easily. imdb_dataset = IMDBDataset() imdb_dataset.load_resource(sys.argv[2]) for line in sys.stdin: word_ids, label = imdb_dataset.get_words_and_label(line) word_len = len(word_ids) feed = { "words": np.array(word_ids).reshape(word_len, 1), "words.lod": [0, word_len] } #print(feed) fetch = ["prediction"] fetch_map = client.predict(feed=feed, fetch=fetch, batch=True) print("{} {}".format(fetch_map["prediction"][0], label[0]))