TRT8 works with almost every nerual network now!!!!(including demo3d)

tests/centernet/dla34_cnet/dla34_cnet.cpp

@@ -540,5 +540,6 @@ int main()
         std::cout<<"CUDNN vs TRT    "; 
         ret_cudnn_tensorrt |= checkResult(odim, cudnn_out, rt_out) == 0 ? 0 : ERROR_CUDNNvsTENSORRT;
     }
+    netRT.destroy();
     return ret_cudnn | ret_tensorrt | ret_cudnn_tensorrt;
 }

tests/centernet/dla34_cnet3d/dla34_cnet3d.cpp

@@ -558,5 +558,6 @@ int main()
         std::cout<<"CUDNN vs TRT    "; 
         ret_cudnn_tensorrt |= checkResult(odim, cudnn_out, rt_out) == 0 ? 0 : ERROR_CUDNNvsTENSORRT;
     }
+    netRT.destroy();
     return ret_cudnn | ret_tensorrt | ret_cudnn_tensorrt;
 }

tests/centernet/resnet101_cnet/resnet101_cnet.cpp

@@ -421,5 +421,6 @@ int main()
         std::cout<<"CUDNN vs TRT    "; 
         ret_cudnn_tensorrt |= checkResult(odim, cudnn_out, rt_out) == 0 ? 0 : ERROR_CUDNNvsTENSORRT;
     }
+    netRT.destroy();
     return ret_cudnn | ret_tensorrt | ret_cudnn_tensorrt;
 }

tests/mobilenet/mobilenetv2ssd/mobilenetv2ssd.cpp

@@ -541,6 +541,6 @@ int main()
     std::cout << "CUDNN vs TRT    " << std::endl;
     ret_cudnn_tensorrt |= checkResult(conf->output_dim.tot(), conf->dstData, rt_out3) == 0 ? 0 : ERROR_CUDNNvsTENSORRT;
     ret_cudnn_tensorrt |= checkResult(loc->output_dim.tot(), loc->dstData, rt_out4) == 0 ? 0 : ERROR_CUDNNvsTENSORRT;
-
+    netRT.destroy();
     return ret_cudnn | ret_tensorrt | ret_cudnn_tensorrt;
 }

tests/mobilenet/mobilenetv2ssd512/mobilenetv2ssd512.cpp

@@ -553,6 +553,6 @@ int main()
     std::cout << "CUDNN vs TRT    " << std::endl;
     ret_cudnn_tensorrt |= checkResult(conf->output_dim.tot(), conf->dstData, rt_out3) == 0 ? 0 : ERROR_CUDNNvsTENSORRT;
     ret_cudnn_tensorrt |= checkResult(loc->output_dim.tot(), loc->dstData, rt_out4) == 0 ? 0 : ERROR_CUDNNvsTENSORRT;
-
+    netRT.destroy();
     return ret_cudnn | ret_tensorrt | ret_cudnn_tensorrt;
 }

tests/shelfnet/shelfnet.cpp

@@ -290,6 +290,6 @@ int main()
     
     cv::Mat viz = vizLayer2Mat(&net, net.num_layers-1);
     cv::imwrite("test.png", viz);
-
+    netRT.destroy();
     return ret_cudnn | ret_tensorrt | ret_cudnn_tensorrt;
 }

tests/shelfnet/shelfnet_berkeley.cpp

@@ -290,6 +290,6 @@ int main()
     
     cv::Mat viz = vizLayer2Mat(&net, net.num_layers-1);
     cv::imwrite("test.png", viz);
-
+    netRT.destroy();
     return ret_cudnn | ret_tensorrt | ret_cudnn_tensorrt;
 }

tests/shelfnet/shelfnet_mapillary.cpp

@@ -292,6 +292,6 @@ int main()
     
     cv::Mat viz = vizLayer2Mat(&net, net.num_layers-1);
     cv::imwrite("test.png", viz);
-
+    netRT.destroy();
     return ret_cudnn | ret_tensorrt | ret_cudnn_tensorrt;
 }