will try it.

Okay, it scceeded.

Relating to it but another question.

With that task, which is running under an agent, task.connect_label_enumeration does not look working.

Oh, thanks 🙂

I confirmed that worked if it is not started by an agent.

Even though I called task.connect_label_enumeration , there is no data to show on the output model.

We have a web server which accepts various requests and manages database resources.
This web server arranges the request and creates a task on the clearml api server, which is running an internal network.

Maybe I should have clone the repo with https instead of ssh.

Is there any example of how to use clearml-data ?

Can you run this one -

 ?

Do you get the labels for both local and clearml-agent run?

Okay, I did the example.
For the local run, I got the labels.
For the agent run, I did not get the labels.

Ah, great!
It worked!

I will set repository url as https and retry.

I tried clearml.model.InputModel and successfully downloaded a model.
Is this an expected way to consume a trained model for inference?

I mean, the output model comes with the labels which is posted.

For the agent run, I posted only the following params:
name project script typeto tasks.create endpoint and let an agent to pick it.

now I am going AFK.
Thanks for your support!

Sounds good, thanks!

just a sec...

The labels are attached for that clone task output model.

Does this task (started by an agent) have some limitation?
Like being disabled to connect labels?

Yeah, what I have done is uploaded:
https://github.com/kayhide/PyTorch-YOLOv3/tree/clearml
This is a fork of well-known torch yolo sample and adapted to clearml.

I will run it right away.

As for the versions
root@120eb0cddb60:~# pip list | grep clearml clearml 0.17.5 clearml-agent 0.17.1

Hi AgitatedDove14
Thanks, that is it!

Yeah, I have noticed the --id option.
What I wanted is to automate making dataset from some set of files.
And it requires the dataset id after running clearml-data create ... .
Reading ~/.clearml_data.json looks much better than parsing the command output.

I think it would be nicer if the CLI had a subcommand to show the content of ~/.clearml_data.json .
In that way, users can be more confident to query the dataset id on which the CLI currently focusing.
My scripts will keep working when the CLI changed how to store the dataset id in the future.

But maybe we should have a cmd line that just outputs the current datasetid, this means it will be easier to grab and pipe

That sounds good.
It definitely helps!

The log says the repository is:
ssh://github.com/allegroai/clearml

No, I have checked it on the web frontend, following the model link and the LABELS tab.

yes

BTW why using the api calls and not clearml sdk?

Because the training part is only the sub system of our whole system.
And the python stuff is not facing to the web, where training request is coming.