diff --git a/CMakeLists.txt b/CMakeLists.txt
index 77425d3..f478cab 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -3,7 +3,7 @@ cmake_minimum_required(VERSION 3.5)
 project (tkDNN)
 set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} ${CMAKE_CURRENT_SOURCE_DIR}/cmake)
 if(UNIX)
-set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -fPIC -Wno-deprecated-declarations -Wno-unused-variable")
+set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++14 -fPIC -Wno-deprecated-declarations -Wno-unused-variable")
 endif()
 if(WIN32)
 set(CMAKE_CXX_STANDARD 14)
diff --git a/include/tkDNN/NetworkRT.h b/include/tkDNN/NetworkRT.h
index 4c6c816..ca012fb 100644
--- a/include/tkDNN/NetworkRT.h
+++ b/include/tkDNN/NetworkRT.h
@@ -6,6 +6,7 @@
 #include "Network.h"
 #include "Layer.h"
 #include "NvInfer.h"
+#include <memory>
 
 namespace tk { namespace dnn {
 
@@ -59,7 +60,8 @@ public:
 #if NV_TENSORRT_MAJOR >= 6  
     nvinfer1::IBuilderConfig *configRT;
 #endif
-    nvinfer1::ICudaEngine *engineRT;
+    std::shared_ptr<nvinfer1::ICudaEngine> engineRT;
+   //nvinfer1::ICudaEngine *engineRT;
     nvinfer1::IExecutionContext *contextRT;
 
     const static int MAX_BUFFERS_RT = 10;
@@ -114,6 +116,9 @@ public:
 
     bool serialize(const char *filename);
     bool deserialize(const char *filename);
+
+
+
 };
 
 }}
diff --git a/include/tkDNN/utils.h b/include/tkDNN/utils.h
index 1404509..edc770e 100644
--- a/include/tkDNN/utils.h
+++ b/include/tkDNN/utils.h
@@ -110,6 +110,17 @@ double t_ns = time_ms.count();
       FatalError(_error.str());                                        \
     }                                                                  \
 }
+struct InferDeleter
+{
+    template <typename T>
+    void operator()(T* obj) const
+    {
+        if (obj)
+        {
+            obj->destroy();
+        }
+    }
+};
 
 typedef enum {
   ERROR_CUDNN = 2,
diff --git a/src/NetworkRT.cpp b/src/NetworkRT.cpp
index 501ade4..4006caf 100644
--- a/src/NetworkRT.cpp
+++ b/src/NetworkRT.cpp
@@ -137,9 +137,11 @@ NetworkRT::NetworkRT(Network *net, const char *name) {
         printCudaMemUsage();
         std::cout<<"Building tensorRT cuda engine...\n";
 #if NV_TENSORRT_MAJOR >= 6                
-        engineRT = builderRT->buildEngineWithConfig(*networkRT, *configRT);
+        //engineRT = builderRT->buildEngineWithConfig(*networkRT, *configRT);
+        engineRT = std::shared_ptr<nvinfer1::ICudaEngine>(builderRT->buildEngineWithConfig(*networkRT,*configRT),InferDeleter());
 #else 
-        engineRT = builderRT->buildCudaEngine(*networkRT);
+        //engineRT = builderRT->buildCudaEngine(*networkRT);
+        engineRT = std::shared_ptr<nvinfer1::ICudaEngine>(builderRT->buildCudaEngine(*networkRT));
 #endif
         if(engineRT == nullptr)
             FatalError("cloud not build cuda engine")
@@ -561,7 +563,7 @@ ILayer* NetworkRT::convert_layer(ITensor *input, DeformConv2d *l) {
     IPluginLayer *lRT = networkRT->addPlugin(inputs, 2, *plugin);
     checkNULL(lRT);
     lRT->setName( ("Deformable" + std::to_string(l->id)).c_str() );
-    delete(inputs);
+    delete[](inputs);
     // batchnorm
     void *bias_b, *power_b, *mean_b, *variance_b, *scales_b;
     if(dtRT == DataType::kHALF) {
@@ -629,7 +631,8 @@ bool NetworkRT::deserialize(const char *filename) {
 
     pluginFactory = new PluginFactory();
     runtimeRT = createInferRuntime(loggerRT);
-    engineRT = runtimeRT->deserializeCudaEngine(gieModelStream, size, (IPluginFactory *) pluginFactory);
+    //engineRT = runtimeRT->deserializeCudaEngine(gieModelStream, size, (IPluginFactory *) pluginFactory);
+    engineRT = std::shared_ptr<nvinfer1::ICudaEngine>(runtimeRT->deserializeCudaEngine(gieModelStream,size,(IPluginFactory*)pluginFactory),InferDeleter());
     //if (gieModelStream) delete [] gieModelStream;
 
     return true;