add cube benchmark script

core/cube/cube-api/src/cube_cli.cpp

@@ -188,6 +188,7 @@ int run_m(int argc, char** argv) {
   request_list.resize(thread_num);
   time_list.resize(thread_num);
   std::vector<std::thread*> thread_pool;
+  TIME_FLAG(main_start);
   for (int i = 0; i < thread_num; i++) {
     thread_pool.push_back(new std::thread(run, argc, argv, i));
   }
@@ -195,6 +196,7 @@ int run_m(int argc, char** argv) {
     thread_pool[i]->join();
     delete thread_pool[i];
   }
+  TIME_FLAG(main_end);
   uint64_t sum_time = 0;
   uint64_t max_time = 0;
   uint64_t min_time = 1000000;
@@ -210,12 +212,14 @@ int run_m(int argc, char** argv) {
     request_num += request_list[i];
   }
   uint64_t mean_time = sum_time / thread_num;
+  uint64_t main_time = time_diff(main_start, main_end);
   LOG(INFO) << thread_num << " thread seek cost"
             << " avg = " << std::to_string(mean_time)
             << " max = " << std::to_string(max_time)
             << " min = " << std::to_string(min_time);
-  LOG(INFO) << " total_request = " << std::to_string(request_num) << " speed = "
-            << std::to_string(1000000 * thread_num / mean_time)  // mean_time us
+  LOG(INFO) << " total_request = " << std::to_string(request_num)
+            << " speed = " << std::to_string(request_num * 1000000 /
+                                             main_time)  // mean_time us
             << " query per second";
   return 0;
 }

python/examples/criteo_ctr_with_cube/benchmark_cube.sh

+rm profile_log
+
+#wget https://paddle-serving.bj.bcebos.com/unittest/ctr_cube_unittest.tar.gz --no-check-certificate
+tar xf ctr_cube_unittest.tar.gz
+mv models/ctr_client_conf ./
+mv models/ctr_serving_model_kv ./
+mv models/data ./cube/
+
+#wget https://paddle-serving.bj.bcebos.com/others/cube_app.tar.gz --no-check-certificate
+tar xf cube_app.tar.gz
+mv cube_app/cube* ./cube/
+sh cube_prepare.sh &
+
+cp ../../../build_server/core/cube/cube-api/cube-cli .
+python gen_key.py
+
+for thread_num in 1
+do
+for batch_size in 1
+do
+    ./cube-cli -config_file ./cube/conf/cube.conf -keys key -dict test_dict -thread_num $thread_num --batch $batch_size > profile 2>&1
+    echo "batch size : $batch_size"
+    echo "thread num : $thread_num"
+    echo "========================================"
+    echo "batch size : $batch_size" >> profile_log
+    echo "thread num : $thread_num" >> profile_log
+    tail -n 2 profile >> profile_log
+done
+done
+
+ps -ef|grep 'cube'|grep -v grep|cut -c 9-15 | xargs kill -9

python/examples/criteo_ctr_with_cube/gen_key.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.
+
+import sys
+import random
+
+with open("key", "w") as f:
+    for i in range(1000000):
+        f.write("{}\n".format(random.randint(0, 999999)))