CTR prediction profiling

demo-client/src/ctr_prediction.cpp

@@ -38,7 +38,7 @@ DEFINE_int32(batch_size, 50, "Set the batch size of test file.");
 DEFINE_int32(concurrency, 1, "Set the max concurrency of requests");
 DEFINE_int32(repeat, 1, "Number of data samples iteration count. Default 1");
 DEFINE_bool(enable_profiling,
-            true,
+            false,
             "Enable profiling. Will supress a lot normal output");
 
 std::vector<float> cont_min = {0, -3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};

demo-serving/op/ctr_prediction_op.cpp

@@ -164,8 +164,12 @@ int CTRPredictionOp::inference() {
       LOG(INFO) << "Cube request count: " << cube_req_num_;
       LOG(INFO) << "Cube request key count: " << cube_req_key_num_;
       LOG(INFO) << "Cube request total time: " << cube_time_us_ << "us";
-      LOG(INFO) << "Average " << cube_time_us_ / cube_req_num_ << "us/req";
-      LOG(INFO) << "Average " << cube_time_us_ / cube_req_key_num_ << "us/key";
+      LOG(INFO) << "Average "
+                << static_cast<float>(cube_time_us_) / cube_req_num_
+                << "us/req";
+      LOG(INFO) << "Average "
+                << static_cast<float>(cube_time_us_) / cube_req_key_num_
+                << "us/key";
 
       cube_time_us_ = 0;
       cube_req_num_ = 0;