diff --git a/paddle/fluid/framework/ir/fuse_pass_base.h b/paddle/fluid/framework/ir/fuse_pass_base.h
index ed3796c5ff4ccef997b2339e9494213ba4d5df6b..3a1022bbcbd671391fb034bdff7c3cf97952f84d 100644
--- a/paddle/fluid/framework/ir/fuse_pass_base.h
+++ b/paddle/fluid/framework/ir/fuse_pass_base.h
@@ -25,7 +25,7 @@ namespace ir {
 
 static const char kParamScopeAttr[] = "__param_scope__";
 static const char kFuseStatisAttr[] = "__fuse_statis__";
-// When we use trt or other third_party lib, the parameters are managered by
+// When we use trt or other third_party lib, the parameters are managed by
 // the lib, but not the fluid. So we need to record them to avoid duplicate
 // allocation.
 static const char kRepetitiveParamAttr[] = "__repetitive_param__";
diff --git a/paddle/fluid/inference/analysis/helper.h b/paddle/fluid/inference/analysis/helper.h
index 9fa85f3762361e2916af6faa820241f5fe7e772f..a48058400241b030f17557156a4d973fca92fd8d 100644
--- a/paddle/fluid/inference/analysis/helper.h
+++ b/paddle/fluid/inference/analysis/helper.h
@@ -17,10 +17,12 @@ limitations under the License. */
 #include <sys/stat.h>
 #include <cstdio>
 #include <fstream>
+#include <memory>
 #include <set>
 #include <string>
 #include <typeindex>
 #include <unordered_map>
+#include <utility>
 #include <vector>
 
 #include "paddle/fluid/framework/framework.pb.h"
diff --git a/paddle/fluid/inference/analysis/ir_pass_manager.h b/paddle/fluid/inference/analysis/ir_pass_manager.h
index 2a595cb36b8345157b3fd26afc62aabfa98b87bc..2d120679eedd392d78b4da66276297ff7280792b 100644
--- a/paddle/fluid/inference/analysis/ir_pass_manager.h
+++ b/paddle/fluid/inference/analysis/ir_pass_manager.h
@@ -22,7 +22,10 @@
 
 #pragma once
 
+#include <memory>
 #include <string>
+#include <unordered_set>
+#include <utility>
 #include <vector>
 #include "paddle/fluid/framework/ir/graph.h"
 #include "paddle/fluid/framework/ir/pass.h"
diff --git a/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc b/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
index 2b5ae2a840b3b3da3380107b54d5cd8723e9914d..8b796c207f6752b8e4a3e47b0ef9032c267ffd08 100644
--- a/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
+++ b/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
@@ -235,7 +235,7 @@ void TensorRtSubgraphPass::CreateTensorRTOp(
     std::string trt_engine_serialized_data = GetTrtEngineSerializedData(
         Get<std::string>("model_opt_cache_dir"), engine_key);
 
-    if (trt_engine_serialized_data.size() == 0) {
+    if (trt_engine_serialized_data.empty()) {
       LOG(INFO) << "Prepare TRT engine (Optimize model structure, Select OP "
                    "kernel etc). This process may cost a lot of time.";
       std::unique_ptr<tensorrt::TensorRTEngine> trt_engine(
diff --git a/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.h b/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.h
index 144f8bbd0e466f88c6e3f087bc8f41fa022bf2af..6689a668fc9313df4105875477424f1426637226 100644
--- a/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.h
+++ b/paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.h
@@ -13,9 +13,12 @@
 // limitations under the License.
 
 #pragma once
-#include <paddle/fluid/framework/ir/fuse_pass_base.h>
+#include <memory>
 #include <string>
+#include <unordered_map>
+#include <unordered_set>
 #include <vector>
+#include "paddle/fluid/framework/ir/fuse_pass_base.h"
 #include "paddle/fluid/framework/ir/pass.h"
 
 namespace paddle {
diff --git a/paddle/fluid/inference/api/analysis_predictor.h b/paddle/fluid/inference/api/analysis_predictor.h
index 9ff91743053a8f831aba73909268c0d4f2a71a20..609f198d35add7c75f2749a0a8f79d483adc7990 100644
--- a/paddle/fluid/inference/api/analysis_predictor.h
+++ b/paddle/fluid/inference/api/analysis_predictor.h
@@ -15,6 +15,7 @@
 #pragma once
 #include <algorithm>
 #include <map>
+#include <memory>
 #include <string>
 #include <vector>
 #include "paddle/fluid/framework/naive_executor.h"
diff --git a/paddle/fluid/inference/tensorrt/convert/op_converter.h b/paddle/fluid/inference/tensorrt/convert/op_converter.h
index 8484daaa128189f70a9171f9b8bcb4fdddf54abf..90ed90b1e2907cc4be6f507890bae8df5a44ee38 100644
--- a/paddle/fluid/inference/tensorrt/convert/op_converter.h
+++ b/paddle/fluid/inference/tensorrt/convert/op_converter.h
@@ -16,6 +16,7 @@ limitations under the License. */
 
 #include <string>
 #include <unordered_map>
+#include <unordered_set>
 #include <vector>
 #include "paddle/fluid/framework/block_desc.h"
 #include "paddle/fluid/framework/op_registry.h"
diff --git a/paddle/fluid/inference/tensorrt/convert/ut_helper.h b/paddle/fluid/inference/tensorrt/convert/ut_helper.h
index d7cca0e456c3d3542fc4710986c92998396889aa..2571abbf69892dae626c7178609c2825775fdf2e 100644
--- a/paddle/fluid/inference/tensorrt/convert/ut_helper.h
+++ b/paddle/fluid/inference/tensorrt/convert/ut_helper.h
@@ -19,7 +19,9 @@ limitations under the License. */
 
 #pragma once
 
+#include <memory>
 #include <string>
+#include <unordered_set>
 #include <vector>
 
 #include "paddle/fluid/framework/lod_tensor.h"
diff --git a/paddle/fluid/inference/tensorrt/plugin/split_op_plugin.h b/paddle/fluid/inference/tensorrt/plugin/split_op_plugin.h
index 16553d44a5ad8dc0f7307948b824c47b0035850b..cbb72590567a35bee29387d4c00518b437913508 100644
--- a/paddle/fluid/inference/tensorrt/plugin/split_op_plugin.h
+++ b/paddle/fluid/inference/tensorrt/plugin/split_op_plugin.h
@@ -15,6 +15,7 @@
 #pragma once
 
 #include <thrust/device_vector.h>
+#include <utility>
 #include <vector>
 #include "paddle/fluid/inference/tensorrt/plugin/trt_plugin.h"
 
diff --git a/paddle/fluid/inference/tensorrt/plugin/trt_plugin.h b/paddle/fluid/inference/tensorrt/plugin/trt_plugin.h
index 73550413656f6e240eb79234970f493ec0b947de..3b737bd726ad09637f8530a114362d98d1dac1b0 100644
--- a/paddle/fluid/inference/tensorrt/plugin/trt_plugin.h
+++ b/paddle/fluid/inference/tensorrt/plugin/trt_plugin.h
@@ -17,6 +17,7 @@
 #include <NvInfer.h>
 #include <cstring>
 #include <unordered_map>
+#include <utility>
 #include <vector>
 
 #include "paddle/fluid/inference/tensorrt/plugin/trt_plugin_utils.h"
diff --git a/paddle/fluid/inference/tensorrt/plugin/trt_plugin_factory.h b/paddle/fluid/inference/tensorrt/plugin/trt_plugin_factory.h
index 061dd30497de2d515afdf4e06f0e7112f2885065..139c75595f9f44cacf7d14cda6b1c8eb4ef3c0ee 100644
--- a/paddle/fluid/inference/tensorrt/plugin/trt_plugin_factory.h
+++ b/paddle/fluid/inference/tensorrt/plugin/trt_plugin_factory.h
@@ -17,6 +17,7 @@
 #include <NvInfer.h>
 #include <cstring>
 #include <list>
+#include <memory>
 #include <string>
 #include <unordered_map>
 #include <vector>
diff --git a/paddle/fluid/inference/tensorrt/test_engine.cc b/paddle/fluid/inference/tensorrt/test_engine.cc
index 0975a66ec6fb03be9a4e4be38002fcd760753740..a03dd45db0f80487cb4c2e6b68f94944e8558ae4 100644
--- a/paddle/fluid/inference/tensorrt/test_engine.cc
+++ b/paddle/fluid/inference/tensorrt/test_engine.cc
@@ -35,7 +35,12 @@ class TensorRTEngineTest : public ::testing::Test {
     engine_->InitNetwork();
   }
 
-  void TearDown() override { delete engine_; }
+  void TearDown() override {
+    if (engine_) {
+      delete engine_;
+      engine_ = nullptr;
+    }
+  }
 
   void PrepareInputOutput(const std::vector<float> &input,
                           std::vector<int> output_shape) {
diff --git a/paddle/fluid/operators/tensorrt/tensorrt_engine_op.h b/paddle/fluid/operators/tensorrt/tensorrt_engine_op.h
index 3f98b0a93406fc2ac5dec2663f4d80a923501bef..c36673312489738ad0475a0b70a23a1c6c948b9d 100644
--- a/paddle/fluid/operators/tensorrt/tensorrt_engine_op.h
+++ b/paddle/fluid/operators/tensorrt/tensorrt_engine_op.h
@@ -16,8 +16,10 @@
 
 #ifdef PADDLE_WITH_CUDA
 
+#include <memory>
 #include <string>
 #include <unordered_map>
+#include <unordered_set>
 #include <vector>
 
 #include "paddle/fluid/framework/executor.h"
@@ -220,11 +222,11 @@ class TensorRTEngineOp : public framework::OperatorBase {
 
   TensorRTEngine *GetEngine(const framework::Scope &scope,
                             const platform::Place &dev_place) const {
-    if (trt_engine_.get() == nullptr) {
+    if (!trt_engine_) {
       trt_engine_.reset(new inference::tensorrt::TensorRTEngine(
           max_batch_size_, workspace_size_, enable_int8_, calibrator_.get(),
           boost::get<platform::CUDAPlace>(dev_place).device));
-      if (engine_serialized_data_.size() > 0) {
+      if (!engine_serialized_data_.empty()) {
         trt_engine_->Deserialize(engine_serialized_data_);
       } else {
         PrepareTRTEngine(scope, trt_engine_.get());