Convert Torch vgg19 model into TensorRT equivalent and run sample_dnn_tensor application using it

Autonomous Vehicles DRIVE AGX Xavier DRIVE AGX Xavier General
1

Please provide the following info (check/uncheck the boxes after creating this topic):
Software Version
DRIVE OS Linux 5.2.6
DRIVE OS Linux 5.2.6 and DriveWorks 4.0
DRIVE OS Linux 5.2.0
[*] DRIVE OS Linux 5.2.0 and DriveWorks 3.5
NVIDIA DRIVE™ Software 10.0 (Linux)
NVIDIA DRIVE™ Software 9.0 (Linux)
other DRIVE OS version
other

Target Operating System
[*] Linux
QNX
other

Hardware Platform
NVIDIA DRIVE™ AGX Xavier DevKit (E3550)
[*] NVIDIA DRIVE™ AGX Pegasus DevKit (E3550)
other

SDK Manager Version
[*] 1.7.1.8928
other

Host Machine Version
[*] native Ubuntu 18.04
other

What are the steps to follow if I want to convert a well know DNN model like VGG19 into tensorRT equivalent (Like tensorRT_model.bin) and use it as --tensorRT_model=[path/to/TensorRT/model] in sample_dnn_tensor application?

3

Dear @raji,
You need to use tensorRT_optimization tool to convert into DW supported model.