提交 1bc973e8 编写于 作者: M MRXLT

add batch predict client example

上级 06f46538
......@@ -10,3 +10,4 @@ cat test.data | python test_client.py > result
```
python test_client_multithread.py inference.conf test.data 4 > result
```
batch clienit
# 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 import Client
import sys
import subprocess
from multiprocessing import Pool
import time
def predict_for_batch(batch_size=4):
client = Client()
client.load_client_config(conf_file)
client.connect(["127.0.0.1:8010"])
start = time.time()
feed_batch = []
for line in sys.stdin:
group = line.strip().split()
words = [int(x) for x in group[1:int(group[0])]]
label = [int(group[-1])]
feed = {"words": words, "label": label}
fetch = ["acc", "cost", "prediction"]
feed_batch.append(feed)
if len(feed_batch) == batch_size:
fetch_batch = client.predict_for_batch(
feed_batch=feed_batch, fetch=fetch)
for i in range(batch_size):
print("{} {}".format(fetch_batch[i]["prediction"][1],
feed_batch[i]["label"][0]))
feed_batch = []
cost = time.time() - start
print("total cost : {}".format(cost))
print(time.time())
if __name__ == '__main__':
conf_file = sys.argv[1]
batch_size = int(sys.argv[2])
predict_for_batch(batch_size)
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