benchmark.py 2.5 KB
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# -*- coding: utf-8 -*-
#
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# 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.
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# pylint: disable=doc-string-missing
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from __future__ import unicode_literals, absolute_import
import os
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import sys
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import time
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from paddle_serving_client import Client
from paddle_serving_client.utils import MultiThreadRunner
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from paddle_serving_client.utils import benchmark_args
from batching import pad_batch_data
import tokenization
import requests
import json
from bert_reader import BertReader
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args = benchmark_args()
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def single_func(idx, resource):
    fin = open("data-c.txt")
    if args.request == "rpc":
        reader = BertReader(vocab_file="vocab.txt", max_seq_len=20)
        config_file = './serving_client_conf/serving_client_conf.prototxt'
        fetch = ["pooled_output"]
        client = Client()
        client.load_client_config(args.model)
        client.connect([resource["endpoint"][idx % 4]])
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        start = time.time()
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        for line in fin:
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            feed_dict = reader.process(line)
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            result = client.predict(feed=feed_dict, fetch=fetch)
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        end = time.time()
    elif args.request == "http":
        start = time.time()
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        header = {"Content-Type": "application/json"}
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        for line in fin:
            #dict_data = {"words": "this is for output ", "fetch": ["pooled_output"]}
            dict_data = {"words": line, "fetch": ["pooled_output"]}
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            r = requests.post(
                'http://{}/bert/prediction'.format(resource["endpoint"][0]),
                data=json.dumps(dict_data),
                headers=header)
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        end = time.time()
    return [[end - start]]
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if __name__ == '__main__':
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    multi_thread_runner = MultiThreadRunner()
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    endpoint_list = [
        "127.0.0.1:9494", "127.0.0.1:9495", "127.0.0.1:9496", "127.0.0.1:9497"
    ]
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    #endpoint_list = endpoint_list + endpoint_list + endpoint_list
    #result = multi_thread_runner.run(single_func, args.thread, {"endpoint":endpoint_list})
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    result = single_func(0, {"endpoint": endpoint_list})
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    print(result)