Memory Manager Not supported Error while Running an AI application on Jatson Nano 8G

Robotics & Edge Computing Jetson & Embedded Systems Jetson Nano
1

Hello,

I am trying to run the “nanoOWL” AI application on the Jetson Nano (8G) device with Jetpack 6.2. However, I am facing the following error while running the Jetson container.

Command:
jetson-containers run --workdir /opt/nanoowl $(autotag nanoowl)

Error:
V4L2_DEVICES:
/home/dsc/jetson-containers/run.sh: line 309: /tmp/nv_jetson_model: Permission denied
+ docker run --runtime nvidia -it --rm --network host --shm-size=8g --volume /tmp/argus_socket:/tmp/argus_socket --volume /etc/enctune.conf:/etc/enctune.conf --volume /etc/nv_tegra_release:/etc/nv_tegra_release --volume /tmp/nv_jetson_model:/tmp/nv_jetson_model --volume /var/run/dbus:/var/run/dbus --volume /var/run/avahi-daemon/socket:/var/run/avahi-daemon/socket --volume /var/run/docker.sock:/var/run/docker.sock --volume /home/dsc/jetson-containers/data:/data -v /etc/localtime:/etc/localtime:ro -v /etc/timezone:/etc/timezone:ro --device /dev/snd --device /dev/bus/usb --device /dev/i2c-0 --device /dev/i2c-1 --device /dev/i2c-2 --device /dev/i2c-4 --device /dev/i2c-5 --device /dev/i2c-7 --name jetson_container_20250228_181718 --workdir /opt/nanoowl dustynv/nanoowl:r36.4.0
docker: Error response from daemon: failed to create task for container: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running prestart hook #0: exit status 1, stdout: , stderr: Auto-detected mode as ‘legacy’
NvRmMemInitNvmap failed with Permission denied
356: Memory Manager Not supported

Jetson_Nano_8G_AI_App_Error_Logs.log (4.4 KB)

I am attaching full logs. Please help resolve the error.

Thank you,
Brijesh Thakkar

3

Hi,

The error indicates a permission issue.

Would you mind using a workspace with written permission instead?
For example:

$ jetson-containers run --workdir ${HOME}/nanoowl $(autotag nanoowl)

Thanks.

4

Hi,

Thank you for your replay.

I have tried changing the workspace as you suggested, but I am still getting the same issue.

Also, please note that when I tried to get GPU status using the nvidia-smi command, I got the below error. I think this could be related to the issue I am facing

$ nvidia-smi
Unable to determine the device handle for GPU0002:00:00.0: Unknown Error

5

I got blocked on this. it would be great if someone could share a few pointers on this. Thank you so much. Really appreciate your help.

6

Kindly share some pointers on how I should try to resolve this error. Thank you so much.