• Hardware (NVIDIA GeForce RTX 2060 SUPER)
• Network Type (BodyPoseNet)
• TAO Toolkit Version (3.22.05)
Hello, I am currently trying to use BodyPoseNet but every time I run !tao bpnet
in jupyter notebook I have the following error:
Traceback (most recent call last):
File “/home/mm/miniconda3/envs/tao_env_3.6/bin/tao”, line 8, in
sys.exit(main())
File “/home/mm/miniconda3/envs/tao_env_3.6/lib/python3.6/site-packages/tlt/entrypoint/entrypoint.py”, line 115, in main
args[1:]
File “/home/mm/miniconda3/envs/tao_env_3.6/lib/python3.6/site-packages/tlt/components/instance_handler/local_instance.py”, line 296, in launch_command
docker_logged_in(required_registry=self.task_map[task].docker_registry)
File “/home/mm/miniconda3/envs/tao_env_3.6/lib/python3.6/site-packages/tlt/components/instance_handler/utils.py”, line 129, in docker_logged_in
data = load_config_file(docker_config)
File “/home/mm/miniconda3/envs/tao_env_3.6/lib/python3.6/site-packages/tlt/components/instance_handler/utils.py”, line 66, in load_config_file
“No file found at: {}. Did you run docker login?”.format(config_path)
AssertionError: Config path must be a valid unix path. No file found at: /home/mm/.docker/config.json. Did you run docker login?
I did run docker login nvcr.io before launching !tao bpnet
, but I didn’t found any file when I did cat /home/mm/.docker/config.json
. So to fix this problem I did sudo cp -r /root/.docker /home/mm/.docker
, but !tao bpnet
stills show the same message.
Content of /root/.docker /home/mm/.docker
:
{
“auths”: {
“nvcr.io”: {
“auth”: “JG9hdXRodG9rZW46T0dsb05ERnNPRzF5TlhScE1tZG5kV3c1T0c1bE1qSTNaV2M2WVRoalkyWTJaREl0TXpSaU5DMDBPVEExTFdGaE9UVXROMlpsTXpKa01XWXhNbU02”
}
},
“HttpHeaders”: {
“User-Agent”: “Docker-Client/19.03.9 (linux)”
}
}
!tao info
returns me:
Configuration of the TAO Toolkit Instance
dockers: [‘nvidia/tao/tao-toolkit-tf’, ‘nvidia/tao/tao-toolkit-pyt’, ‘nvidia/tao/tao-toolkit-lm’]
format_version: 2.0
toolkit_version: 3.22.05
published_date: 05/25/2022