Tao train finish but nothing generated

[ndy83107]

Please provide the following information when requesting support.

• Hardware (RTX3080)
• Network Type (Detectnet_v2)
• TLT Version (tao toolkit 4.0)
• Training spec file(
6cfb5018-6d3f-444d-aa15-a5e3d96eb23c.json (240 Bytes)
)
• How to reproduce the issue ? (This is for errors. Please share the command line and the detailed log here.)
I execute the detectnet v2 train according to the content of cv_samples_v1.4.1tao api, but the http status code is 201 but no model files are generated in the folder

The result is as shown below

what i may be doing wrong？

[Morganh]

The training jobs is showing pending. Can you double check if it is running?

[ndy83107]

What items can I confirm to make sure the tap api is working properly?

[Morganh]

Can you run this cell to check the job status?

[Morganh]

More, from the log, you set to 300 epochs. Please try to set lower epochs to narrow down. For example, 3 epochs. Then run the above-mentioned cell to check the “status”.
And also check the result via

[ndy83107]

I try reset k8s and tao-api-toolkit-api container.
But the cell still responds to http status 201
train status ‘action’: ‘train’, ‘status’: ‘Pending’, ‘result’: {}}

What else do I need to check for the container to work properly?
or More detailed teaching instructions

[Morganh]

Can you follow https://developer.nvidia.com/blog/training-like-an-ai-pro-using-tao-automl/ to check the environment again?

[ndy83107]

How to set up ansible hosts

Have a sample?

[ndy83107]

I follow https://developer.nvidia.com/blog/training-like-an-ai-pro-using-tao-automl/ yolov4.ipynb
The result is that the training status is still pending
The attached file is the file generated after executing the model api. Can you help me clarify the problem? I can’t find a way to solve it
jobs.yaml (422 Bytes)

metadata.json (1.1 KB)
444603fa-0607-4c61-a824-e5e68a705e18.json (240 Bytes)
train.json (3.3 KB)
After a period of time, use postman to execute the API to return the result

[Morganh]

Can you share

• the hosts file
• The log when you run
  $ bash setup.sh check-inventory.yml
  $ bash setup.sh install

[ndy83107]

hosts (588 Bytes)

[Morganh]

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

@ndy83107

hosts (588 Bytes)

You are running on only 1 machine.
And you can set the passwd as below instead of .pem file.

[master]
172.23.70.118 ansible_ssh_user='aetina' ansible_ssh_pass=<yourpasswd>

Then re-run
$ bash setup.sh check-inventory.yml
$ bash setup.sh install