Jetson nano shutdown when executing deepstream

[immarsgoblin]

Hello Nvidia,
I want to run deepstream example on my Jetson nano A02.
I use the Jupyter lab to execute the program example,
When the program was executed, there was a situation that the nano shutdown and I always got failure to run the deepstream example.

Thanks,
James

[kayccc]

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU)
• DeepStream Version
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

[Amycao]

Check this topic if helps:
Jeston Nano use more power failed - Jetson & Embedded Systems / Jetson Nano - NVIDIA Developer Forums

[immarsgoblin]

The following is my fundamental setup
Jetson nano A02
Deepstream 4.0
Jetpack 4.3-b134
TensorRT 6.0.1
CUDA 10.0

[Amycao]

Did you check above topic if helps?

[immarsgoblin]

Thanks for your help,

I tried to use more power by DC jack, but it couldn’t power on the Jetson nano.
In present, I power on the nano by the micro usb and the trouble isn’t solved.

[Amycao]

Is it shutdown or restart?
If it’s shutdown, could you share the kernel log from UART terminal?
If it’s reboot, please share the output of below command:
# cat /sys/fs/pstore/console-ramoops-0

[Amycao]

You can after power on the device by micro usb, plugin dc jack, to see if the device work normally.

[immarsgoblin]

I can power on the nano by micro usb and then plug in dc jack still work normally.
But I cannot use dc jack to power on the nano directly.
The case is neither shutdown nor reboot, it has no reaction completely.

[Amycao]

If completely no reaction, please keep monitor the device CPU/GPU uasge by sudo tegrastats. it may be caused by high GPU computing.
please check source8_1080p_dec_infer-resnet_tracker_tiled_display_fp16_nano.txt, the parameters tuned for nano and accordingly change components properties in your app.

[yingliu]

There is no update from you for a period, assuming this is not an issue anymore.
Hence we are closing this topic. If need further support, please open a new one.
Thanks