tkDNN works with trt8!!,need to test int8 and mobilenet,dla_cnet (fps seems to be a bit low 350 on trt8 compared to 396 on trt7)

src/CenternetDetection.cpp

@@ -3,7 +3,7 @@
 
 namespace tk { namespace dnn {
 
-bool CenternetDetection::init(const std::string& tensor_path, const int n_classes, const int n_batches, const float conf_thresh){
+bool CenternetDetection::init(const std::string& tensor_path, const std::string& cfg_path,const std::string& name_path,const int n_classes, const int n_batches, const float conf_thresh){
     std::cout<<(tensor_path).c_str()<<"\n";
     netRT = new tk::dnn::NetworkRT(NULL, (tensor_path).c_str() );
     classes = n_classes;

src/MobilenetDetection.cpp

@@ -126,7 +126,7 @@ float MobilenetDetection::iou(const tk::dnn::box &a, const tk::dnn::box &b){
     return iou;
 }
 
-bool MobilenetDetection::init(const std::string& tensor_path, const int n_classes, const int n_batches, const float conf_thresh){
+bool MobilenetDetection::init(const std::string& tensor_path, const std::string& cfg_path,const std::string& name_path,const int n_classes, const int n_batches, const float conf_thresh){
     std::cout<<(tensor_path).c_str()<<"\n";
     netRT = new tk::dnn::NetworkRT(NULL, (tensor_path).c_str());
     imageSize = netRT->input_dim.h;

src/NetworkRT.cpp

@@ -657,8 +657,8 @@ bool NetworkRT::deserialize(const char *filename) {
 
 void NetworkRT::destroy() {
     contextRT->destroy();
-    configRT->destroy();
     engineRT->destroy();
+    configRT->destroy();
     builderRT->destroy();
 }
 

src/Yolo3Detection.cpp

@@ -29,7 +29,7 @@ namespace tk { namespace dnn {
     for(int i=0; i<noYolos.size(); i++) {
         std::vector<float> maskTemp,anchorsTemp;
         std::vector<std::string> classNamesTemp;
-        int classes,nms_kind,coords,numTemp;
+        int nms_kind,coords,numTemp;
         float nmsthresh;
         loadYoloInfo(cfg_path,yolosLine[i],maskTemp,anchorsTemp,numTemp,classes,nmsthresh,nms_kind,coords);
         classNamesTemp = darknetReadNames(name_path);