Tlt.components.docker_handler.docker_handler: Stopping container

I am trying to export a trained detectnet V2 model to deploy in deepstream, but I was facing the following error.

tao detectnet_v2 export -m /home/saiteja/models/resnetarch.tlt -o /home/saiteja/models/model.int8.etlt -e /home/saiteja/results/experiment_spec.txt --key 7226 --data_type int8 --batch_size 8 --batches 10 --cal_data_file /home/saiteja/results_ds/cal.tensorfile  --cal_cache_file /home/saiteja/results_ds/cal.bin  --engine_file /home/saiteja/results_ds/detection.trt
2022-07-15 04:51:51,127 [INFO] root: Registry: ['nvcr.io']
2022-07-15 04:51:51,411 [INFO] tlt.components.instance_handler.local_instance: Running command in container: nvcr.io/nvidia/tao/tao-toolkit-tf:v3.21.11-tf1.15.4-py3
2022-07-15 04:51:51,605 [WARNING] tlt.components.docker_handler.docker_handler:
Docker will run the commands as root. If you would like to retain your
local host permissions, please add the "user":"UID:GID" in the
DockerOptions portion of the "/home/saiteja/.tao_mounts.json" file. You can obtain your
users UID and GID by using the "id -u" and "id -g" commands on the
terminal.
2022-07-15 04:51:56,235 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.

Could you run below command to check what is happening?
$ tao detectnet_v2 run /bin/bash

then, inside the docker,
# detectnet_v2 export xxx

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