diff --git a/paddle/fluid/inference/analysis/analyzer_tester.cc b/paddle/fluid/inference/analysis/analyzer_tester.cc
index 29c86bf787bea4f5ab1f647295e40ff7deabc84e..4cf26d3c70eafd951d14c26335416ec2c71c001d 100644
--- a/paddle/fluid/inference/analysis/analyzer_tester.cc
+++ b/paddle/fluid/inference/analysis/analyzer_tester.cc
@@ -255,8 +255,8 @@ void CompareResult(const std::vector<PaddleTensor> &outputs,
   }
 }
 // Test with a really complicate model.
-void TestDituRNNPrediction(bool use_analysis_and_activate_ir = false,
-                           int num_threads = FLAGS_num_threads) {
+void TestDituRNNPrediction(bool use_analysis, bool activate_ir,
+                           int num_threads) {
   AnalysisConfig config;
   config.prog_file = FLAGS_infer_ditu_rnn_model + "/__model__";
   config.param_file = FLAGS_infer_ditu_rnn_model + "/param";
@@ -300,7 +300,7 @@ void TestDituRNNPrediction(bool use_analysis_and_activate_ir = false,
     // because AttentionLSTM's hard code nodeid will be damanged.
     for (int tid = 0; tid < num_threads; ++tid) {
       predictors.emplace_back(
-          CreatePaddlePredictor<NativeConfig, PaddleEngineKind::kAnalysis>(
+          CreatePaddlePredictor<AnalysisConfig, PaddleEngineKind::kAnalysis>(
               config));
     }
     for (int tid = 0; tid < num_threads; ++tid) {
@@ -326,7 +326,7 @@ void TestDituRNNPrediction(bool use_analysis_and_activate_ir = false,
   }
   LOG(INFO) << "=====================================";
 
-  if (use_analysis_and_activate_ir) {
+  if (use_analysis && activate_ir) {
     AnalysisPredictor *analysis_predictor =
         dynamic_cast<AnalysisPredictor *>(predictor.get());
     auto &fuse_statis = analysis_predictor->analysis_argument()
@@ -353,15 +353,26 @@ void TestDituRNNPrediction(bool use_analysis_and_activate_ir = false,
   }
 }
 
-// basic unit-test of DituRNN, easy for profiling independently.
-TEST(Analyzer, DituRNN) { TestDituRNNPrediction(false, FLAGS_num_threads); }
+// Inference with analysis and IR, easy for profiling independently.
+TEST(Analyzer, DituRNN) {
+  TestDituRNNPrediction(true, true, FLAGS_num_threads);
+}
 
-// advance unit-test of DituRNN, test use_analysis_and_activate_ir and
-// multi-threads.
-TEST(Analyzer, DituRNN_multi_thread) {
-  TestDituRNNPrediction(true, 1);
-  TestDituRNNPrediction(false, 4);
-  TestDituRNNPrediction(true, 4);
+// Other unit-tests of DituRNN, test different options of use_analysis,
+// activate_ir and multi-threads.
+TEST(Analyzer, DituRNN_tests) {
+  int num_threads[2] = {1, 4};
+  for (auto i : num_threads) {
+    // Directly infer with the original model.
+    TestDituRNNPrediction(false, false, i);
+    // Inference with the original model with the analysis turned on, the
+    // analysis
+    // module will transform the program to a data flow graph.
+    TestDituRNNPrediction(true, false, i);
+    // Inference with analysis and IR. The IR module will fuse some large
+    // kernels.
+    TestDituRNNPrediction(true, true, i);
+  }
 }
 
 }  // namespace analysis