diff --git a/paddle/fluid/inference/analysis/analyzer_tester.cc b/paddle/fluid/inference/analysis/analyzer_tester.cc
index 3b5be7f3ee33c73a9704bafa9f1b736c8a3cd9ea..eb0aeafb8f538e4b7ffe80db7eec9b764afc0f43 100644
--- a/paddle/fluid/inference/analysis/analyzer_tester.cc
+++ b/paddle/fluid/inference/analysis/analyzer_tester.cc
@@ -37,12 +37,20 @@ TEST(Analyzer, analysis_without_tensorrt) {
 TEST(Analyzer, analysis_with_tensorrt) {
   FLAGS_IA_enable_tensorrt_subgraph_engine = true;
   Argument argument;
+  int* minimum_subgraph_size = new int(0);
+  int* max_batch_size = new int(3);
+  int* workspace_size = new int(1 << 20);
+  std::string* precision_mode = new std::string("FP32");
+  argument.Set<int>("minimum_subgraph_size", minimum_subgraph_size);
+  argument.Set<int>("max_batch_size", max_batch_size);
+  argument.Set<int>("workspace_size", workspace_size);
+  argument.Set<std::string>("precision_mode", precision_mode);
   argument.fluid_model_dir.reset(new std::string(FLAGS_inference_model_dir));
   Analyzer analyser;
   analyser.Run(&argument);
 }
 
-void TestWord2vecPrediction(const std::string &model_path) {
+void TestWord2vecPrediction(const std::string& model_path) {
   NativeConfig config;
   config.model_dir = model_path;
   config.use_gpu = false;
@@ -73,8 +81,8 @@ void TestWord2vecPrediction(const std::string &model_path) {
   // The outputs' buffers are in CPU memory.
   for (size_t i = 0; i < std::min(5UL, num_elements); i++) {
     LOG(INFO) << "data: "
-              << static_cast<float *>(outputs.front().data.data())[i];
-    PADDLE_ENFORCE(static_cast<float *>(outputs.front().data.data())[i],
+              << static_cast<float*>(outputs.front().data.data())[i];
+    PADDLE_ENFORCE(static_cast<float*>(outputs.front().data.data())[i],
                    result[i]);
   }
 }
diff --git a/paddle/fluid/inference/analysis/subgraph_splitter.cc b/paddle/fluid/inference/analysis/subgraph_splitter.cc
index e0a7a1969cb14dbe5e8943f12d1688b0454a78a3..526bbbadfe90c3064d7c620cc22e30f7fef99088 100644
--- a/paddle/fluid/inference/analysis/subgraph_splitter.cc
+++ b/paddle/fluid/inference/analysis/subgraph_splitter.cc
@@ -309,7 +309,7 @@ void SubGraphFuse::operator()() { ReplaceNodesWithSubGraphs(); }
 void SubGraphFuse::ReplaceNodesWithSubGraphs() {
   auto subgraphs = SubGraphSplitter(graph_, node_inside_subgraph_teller_)();
   for (auto &subgraph : subgraphs) {
-    if (subgraph.size() <= argument_->Get<int>("minimun_subgraph_size"))
+    if (subgraph.size() <= argument_->Get<int>("minimum_subgraph_size"))
       continue;
     std::unordered_set<Node *> subgraph_uniq(subgraph.begin(), subgraph.end());
     // replace this sub-graph with the first node. Two steps: 1. Create a Block
diff --git a/paddle/fluid/inference/analysis/subgraph_splitter_tester.cc b/paddle/fluid/inference/analysis/subgraph_splitter_tester.cc
index a9734301e6b5ab8833c76adee857323739bd401b..bf0b46e0d76bd54a696c1d99cb72b4d247c7298f 100644
--- a/paddle/fluid/inference/analysis/subgraph_splitter_tester.cc
+++ b/paddle/fluid/inference/analysis/subgraph_splitter_tester.cc
@@ -68,7 +68,7 @@ TEST(SubGraphSplitter, Fuse) {
   auto dfg = ProgramDescToDFG(desc);
   Argument argument;
   int* minmum_subgraph_size = new int(3);
-  argument.Set<int>("minmum_subgraph_size", minmum_subgraph_size);
+  argument.Set<int>("minimum_subgraph_size", minmum_subgraph_size);
 
   size_t count0 = dfg.nodes.size();
 
diff --git a/paddle/fluid/inference/analysis/tensorrt_subgraph_pass_tester.cc b/paddle/fluid/inference/analysis/tensorrt_subgraph_pass_tester.cc
index 67a5af83d89b771536ea11be51b35244ff5c09d6..fcdd3a03a82ad0d1b2afad32cd4904d440d399e3 100644
--- a/paddle/fluid/inference/analysis/tensorrt_subgraph_pass_tester.cc
+++ b/paddle/fluid/inference/analysis/tensorrt_subgraph_pass_tester.cc
@@ -36,6 +36,14 @@ TEST(TensorRTSubGraphPass, main) {
   };
 
   Argument argument(FLAGS_inference_model_dir);
+  int* minimum_subgraph_size = new int(0);
+  int* max_batch_size = new int(3);
+  int* workspace_size = new int(1 << 20);
+  std::string* precision_mode = new std::string("FP32");
+  argument.Set<int>("minimun_subgraph_size", minimum_subgraph_size);
+  argument.Set<int>("max_batch_size", max_batch_size);
+  argument.Set<int>("workspace_size", workspace_size);
+  argument.Set<std::string>("precision_mode", precision_mode);
 
   DFG_GraphvizDrawPass::Config config{FLAGS_dot_dir, "origin"};
   DFG_GraphvizDrawPass::Config config1{FLAGS_dot_dir, "fusion"};
diff --git a/paddle/fluid/inference/api/api_tensorrt_subgraph_engine.cc b/paddle/fluid/inference/api/api_tensorrt_subgraph_engine.cc
index 945b85b7f82c3bd0b4f980164740b253e5d9076a..8be444949655ed404179ca786245cbd95f55db4e 100644
--- a/paddle/fluid/inference/api/api_tensorrt_subgraph_engine.cc
+++ b/paddle/fluid/inference/api/api_tensorrt_subgraph_engine.cc
@@ -94,7 +94,7 @@ class TensorRTSubgraphPredictor : public NativePaddlePredictor {
     int* max_batch_size = new int(config_.max_batch_size);
     int* workspace_size = new int(config_.workspace_size);
     std::string* precision_mode = new std::string(config_.precision_mode);
-    argument.Set<int>("minimun_subgraph_size", minimum_subgraph_size);
+    argument.Set<int>("minimum_subgraph_size", minimum_subgraph_size);
     argument.Set<int>("max_batch_size", max_batch_size);
     argument.Set<int>("workspace_size", workspace_size);
     argument.Set<std::string>("precision_mode", precision_mode);