No way to use nvprof on l4t tensorrt docker image?

Hello, I’m newbie in tensorrt.

I want to use nvprof to trace gpu for my tensorrt application on docker image.

As you know, there’s only one tensorrt docker image for jetson.
So I pulled the image and tested nvprof.

Then I faced following message.

nvprof

nvprof: error while loading shared libraries: libcupti.so.10.2: cannot open shared object file: No such file or directory

So I tried to install libcupti-dev on container.
But, I noticed that there’s no libcupti for bionic(ubuntu18.04lts) / arm64(aarch64).
https://packages.ubuntu.com/search?keywords=libcupti&searchon=names&suite=all&section=all

Then, can’t I use nvprof on l4t tensorrt container?
But it’s weird because I can get result of nvprof on native jetson environment (my device is jetson agx xavier) like following.

~$ nvprof -h
Usage: nvprof [options] [application] [application-arguments] Options:
–aggregate-mode <on|off> Turn on/off aggregate mode for events and metrics specified by subsequent “–events” and “–metrics” options. Those event/metric values will be collected for each domain instance, instead of the whole device. Allowed values: on - turn on aggregate mode (default)
off - turnoff aggregate mode

So, I wonder if I really need to install libcupti to use nvprof on l4t tensorrt container, or not, how can I use nvprof on the container.

Thank you.

Environment

TensorRT Version: 8.0.1.6
GPU Type:
Nvidia Driver Version: 510
CUDA Version: 10.2
CUDNN Version: 8.2.1
Operating System + Version: Ubuntu18.04 lts
Python Version (if applicable):
TensorFlow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag): l4t-tensorrt:r8.0.1-runtime

Relevant Files

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Hi,
This looks like a Jetson issue. Please refer to the below samlples in case useful.

For any further assistance, we recommend you to raise it to the respective platform from the below link

Thanks!