test_client.py 1.5 KB
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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.
# pylint: disable=doc-string-missing

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from paddle_serving_client import Client
import paddle
import sys
import os
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import time
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import criteo_reader as criteo
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from paddle_serving_client.metric import auc
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client = Client()
client.load_client_config(sys.argv[1])
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client.connect(["127.0.0.1:9292"])
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batch = 1
buf_size = 100
dataset = criteo.CriteoDataset()
dataset.setup(1000001)
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test_filelists = [
    "{}/part-%d".format(sys.argv[2]) % x
    for x in range(len(os.listdir(sys.argv[2])))
]
reader = dataset.infer_reader(test_filelists[len(test_filelists) - 40:], batch,
                              buf_size)
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label_list = []
prob_list = []
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start = time.time()
for ei in range(1000):
    data = reader().next()
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    feed_dict = {}
    for i in range(1, 27):
        feed_dict["sparse_{}".format(i - 1)] = data[0][i]
    fetch_map = client.predict(feed=feed_dict, fetch=["prob"])
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    #print(fetch_map)
end = time.time()
print(end - start)