• Hardware Platform (Jetson / GPU)
RTX 3060 on WSL2 Ubuntu 20.04
• DeepStream Version
• TensorRT Version
• NVIDIA GPU Driver Version
• Issue Type( questions, new requirements, bugs)
Cudnn 8.4.1, Gstreamer 1.16.2
I’ve a kind of a bug thing when I use
deepstream-transfer-learning app on my WSL ubuntu setup. When I try to execute TAO examples from base deepstream everything seems fine but on my custom TAO trained model there is not.
I have a
.etlt model which trained from TAO and .h264 video file. I need to process them with deepstream but when I execute the command with my config and app files
segmentation fault appears with any error messages with
This is the screenshot of my terminal output when I exeucte the command
GST_DEBUG=3 deepstream-transfer-learning-app -c deepstream_app_head.txt
PS : I use Batch Size as 1 and checked my GPU consumption and there is not any leak on GPU which might be caused for a segmentation fault.