diff --git a/paddle/fluid/inference/analysis/analyzer.cc b/paddle/fluid/inference/analysis/analyzer.cc
index 192ac2daa6a78efec6db19870f71e80593c62da9..c95bf3597ab62716ec0ca96d4a4852dfc30f8d70 100644
--- a/paddle/fluid/inference/analysis/analyzer.cc
+++ b/paddle/fluid/inference/analysis/analyzer.cc
@@ -14,6 +14,7 @@
 
 #include "paddle/fluid/inference/analysis/analyzer.h"
 #include <string>
+#include <vector>
 #include "paddle/fluid/inference/analysis/data_flow_graph_to_fluid_pass.h"
 #include "paddle/fluid/inference/analysis/dfg_graphviz_draw_pass.h"
 #include "paddle/fluid/inference/analysis/fluid_to_data_flow_graph_pass.h"
@@ -41,7 +42,7 @@ class DfgPassManagerImpl final : public DfgPassManager {
  public:
   DfgPassManagerImpl() {
     // TODO(Superjomn) set the key with pass reprs.
-    LOG(INFO)
+    VLOG(3)
         << "-----------------------------------------------------------------";
     if (FLAGS_IA_enable_ir) {
       AddPass("fluid-to-ir-pass", new FluidToIrPass);
@@ -53,7 +54,7 @@ class DfgPassManagerImpl final : public DfgPassManager {
     if (!FLAGS_IA_output_storage_path.empty()) {
       AddPass("model-store-pass", new ModelStorePass);
     }
-    LOG(INFO)
+    VLOG(3)
         << "-----------------------------------------------------------------";
   }
 
@@ -112,7 +113,6 @@ void Analyzer::Run(Argument* argument) {
                     "mul_lstm_fuse_pass", "graph_viz_pass",        //
                     "seq_concat_fc_fuse_pass", "graph_viz_pass",   //
                     "fc_fuse_pass", "graph_viz_pass"               //
-
                 }));
 
   for (auto& x : data_) {
diff --git a/paddle/fluid/inference/analysis/analyzer_tester.cc b/paddle/fluid/inference/analysis/analyzer_tester.cc
index 6482752e058944d82ede741e4f00770668a69163..0dd6f44028174ccb8b640344f71428a89c460460 100644
--- a/paddle/fluid/inference/analysis/analyzer_tester.cc
+++ b/paddle/fluid/inference/analysis/analyzer_tester.cc
@@ -335,18 +335,14 @@ void TestDituRNNPrediction(bool use_analysis_and_activate_ir = false,
   }
 }
 
-// Directly infer with the original model.
-TEST(Analyzer, DituRNN_without_analysis) {
-  LOG(INFO) << "ditu rnn without analysis";
+TEST(Analyzer, DituRNN) {
   TestDituRNNPrediction(false, 1);
-  TestDituRNNPrediction(false, 4);  // multi-threads
+  TestDituRNNPrediction(true, 1);
 }
 
-// Inference with analysis and IR. The IR module will fuse some large kernels.
-TEST(Analyzer, DituRNN_with_analysis_with_IR) {
-  LOG(INFO) << "ditu rnn with analysis and IR fuse";
-  TestDituRNNPrediction(true, 1);
-  TestDituRNNPrediction(true, 4);  // multi-threads
+TEST(Analyzer, DituRNN_multi_thread) {
+  TestDituRNNPrediction(false, 4);
+  TestDituRNNPrediction(true, 4);
 }
 
 }  // namespace analysis