add new file abtest_client.py

add new file abtest_client.py

python/examples/imdb/abtest_client.py

+
+# 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 import Client
+import numpy as np
+
+client = Client()
+client.load_client_config('imdb_bow_client_conf/serving_client_conf.prototxt')
+client.add_variant("bow", ["127.0.0.1:8000"], 10)
+client.add_variant("lstm", ["127.0.0.1:9000"], 90)
+client.connect()
+
+print('please wait for about 10s')
+with open('processed.data') as f:
+    cnt = {"bow": {'acc': 0, 'total': 0}, "lstm": {'acc': 0, 'total': 0}}
+    for line in f:
+        word_ids, label = line.split(';')
+        word_ids = [int(x) for x in word_ids.split(',')]
+        word_len = len(word_ids)
+        feed = {
+            "words": np.array(word_ids).reshape(word_len, 1),
+            "words.lod": [0, word_len]
+        }
+        fetch = ["acc", "cost", "prediction"]
+        [fetch_map, tag] = client.predict(feed=feed, fetch=fetch, need_variant_tag=True,batch=True)
+        if (float(fetch_map["prediction"][0][1]) - 0.5) * (float(label[0]) - 0.5) > 0:
+            cnt[tag]['acc'] += 1
+        cnt[tag]['total'] += 1
+
+    for tag, data in cnt.items():
+        print('[{}](total: {}) acc: {}'.format(tag, data['total'], float(data['acc'])/float(data['total']) ))