Hi @<1577468626967990272:profile|PerplexedDolphin99> , I think you will get the submodules, you just need to make sure to set up the agent with git_ask_pass to true

I wasn't able to reproduce it on my side. Can you try the following?
In clearml/examples/reporting/mode_config.py
Under line 45:
OutputModel().update_weights('my_best_model.bin')
Add the following:
output_model = task.models['output'][-1]
output_model.tags=['deployed']

And check in the UI if you get a tag on the model

Hi ScantCrab97 , please update it it worked 🙂

BoredPigeon26 , do you run them manually or with the agent? If you run manually then I'm afraid it doesn't show the config currently. However if you run with the agent, then it will also print out the entire config (excluding the secrets, of course) at the start of the run and it will be shown in the console output in the UI 🙂

Or do you mean the different parameters you've changed about in the task itself?

Hi @<1632913959445073920:profile|IratePigeon23> , please look at the following thread - None

That is a nice example for using the API. After you handle the login issues, you can use the web UI as a reference for the API (use dev tools - F12 to see what the UI sends to the backend).

Let me know if this helps 🙂

Also, did you run the experiment inside the docker? Just masking sure 🙂

I don't think it's currently updated but the team is working on updating it. Hopefully it will be updated very soon 🙂

How did you try it?

Are you seeing any errors in the webserver container?

Hi @<1570583237065969664:profile|AdorableCrocodile14> , how did you upload the image?

Hi @<1706116294329241600:profile|MinuteMouse44> , is there any worker listening to the queue?

worker by default checks the backend every 5 seconds for new tasks in the queue. While running a task I think it basically sends whatever api calls a regular local task sends

SubstantialElk6 , can you please verify that you have all the required packages installed locally ? Also in your ~/clearml.conf what is the setting of agent.package_manager.system_site_packages

What do you mean by requirements by the docker? You can set the default docker in clearml.conf but you can always specify a different docker image on the Task level that will override this

Check the pre_execute_callback and post_execute_callback arguments of the component.

None

GrievingTurkey78 , can you provide a small self contained snippet to run?

EnviousPanda91 , you can use tasks.get_by_id . I think the commit ID should be there in the data section

Hi @<1797800418953138176:profile|ScrawnyCrocodile51> , I think you're looking for Dataset.squash - None

AgitatedDove14 , I think gitdiff wasn't ran. I think Laszlo ran git status manually, not git diff

Also services agent is not related to regular agent executions

Hi @<1664079296102141952:profile|DangerousStarfish38> , looks like an issue with docker on your machine. Are you able to run that container manually?

Hi @<1749602841338580992:profile|ImpressionableSparrow64> , the S3 configuration (Credentials) is always done on the client side. You don't need to configure anything server side. Also good that you configured the agent.

Hi @<1562610703553007616:profile|CloudyCat50> , you can use Task.set_tags() to 're-set' tags and omit the tag you want removed.

Hi @<1523701295830011904:profile|CluelessFlamingo93> , you can use pipelines from functions or from decorators also

BoredPigeon26 , are images from previous iterations still showing?

Hi JitteryCoyote63 , I think you can click one of the debug samples to enlarge it. Then you will have a scroll bar to get to your needed Iteration. Does that help?

Do you have the associated email to the account or the workspace ID?

BoredPigeon26 , you can scroll through iterations 🙂

I'm assuming your dictionary is made from non basic types (like object of a sort)
What do you have inside this dict?

Hi @<1533257411639382016:profile|RobustRat47> , what would you define as most metrics?