Jetson Xavier
Jetpack 4.3. DP
Ubuntu 18.04
gpu_arch: 7.2
cuda: 10.0.326
cudnn: 7.6.3.28-1+cuda10.0
trt: 6.0.1.5-1+cuda10.0
Hello,
I am using Tensor RT in C++.
When I execute a trt engine, segmentation fault in function ‘execute’.
Using system profiler, I can find that delay occurs in ‘shuffle layer’ but I don’t know what’s happened.
It shows only segmentation fault without any information.
Segmentation fault (core dumped)
How can I debug in tensorRT function?
Hi,
For debugging the issue, you can set the ILogger to INFO mode and use supported profiling tools to help investigate bottlenecks.
https://docs.nvidia.com/deeplearning/sdk/tensorrt-archived/tensorrt-601/tensorrt-developer-guide/index.html#initialize_library
https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html#profiling-tools
You can also use “trtexec” command line tool for benchmarking & generating serialized engines from models.
https://docs.nvidia.com/deeplearning/sdk/tensorrt-archived/tensorrt-601/tensorrt-developer-guide/index.html#command-line-programs
If possible, could you please share the sample script and model along with reproduction setups?
Thanks
