Failed to shutdown Jetson Orin NX after installing "nvidia-jetpack"

Robotics & Edge Computing Jetson & Embedded Systems Jetson Orin NX
1

Summary

At first, I installed “Jetson Linux 35.3.1” to Jetson Orin NX.
And, I installed “nvidia-jetpack” package via apt command.

But, I could NOT shutdown Jetson Orin NX after the installation of “nvidia-jetpack”.

Environment

Steps to reproduce

Host PC(x86_64)

tar xf Jetson_Linux_R35.3.1_aarch64.tbz2
sudo tar xpf Tegra_Linux_Sample-Root-Filesystem_R35.3.1_aarch64.tbz2 -C Linux_for_Tegra/rootfs/
cd Linux_for_Tegra/
sudo ./apply_binaries.sh
sudo ./tools/l4t_flash_prerequisites.sh
sudo ./tools/kernel_flash/l4t_initrd_flash.sh --external-device nvme0n1p1 \
  -c tools/kernel_flash/flash_l4t_external.xml -p "-c bootloader/t186ref/cfg/flash_t234_qspi.xml" \
  --showlogs --network usb0 p3509-a02+p3767-0000 internal

Jetson Orin NX

sudo shutdown -h now

In this time, I could shutdown Jetson Orin NX.

sudo apt install nvidia-jetpack
sudo shutdown -h now

But, I could NOT shutdown Jetson Orin NX after the installation of “nvidia-jetpack”.
So, I think that there is a problem in “nvidia-jetpack” package (or dependent package).
This is a critical issue for developers.

3

Do you have any log from serial console when the shutdown failure happened?

Or you don’t know where to dump serial console log?

6

We can still shutdown the device after installing nvidia-jetpack.

Is this Orin NX 8gb or 16gb module? Do you have NV devkit to test this?

7

Is this Orin NX 8gb or 16gb module?

I used reComputer J4012(https://www.seeedstudio.com/reComputer-J4012-p-5586.html).
This product uses Jetson Orin NX 16GB module.

Do you have NV devkit to test this?

I don’t have Jetson Orin NX devkit.
On the other hands, I tested on Jetson AGX Orin devkit.
As a result, this problem could not reproduce.

8

Please report your issue to the board vendor first.

9

I understand. I reported issue to board vendor.

11

@WayneWWW I shared the latest information.

  • I installed only Jetson Linux.
  • And I installed development package(CUDA, TensorRT etc…) via SDK Manager.

As a result, I could avoid this problem.

So, I think this problem is a software factor.

1 Like
12

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