You can see the version if you go to settings page. It is in the bottom right of the screen 🙂

When you generate new credentials in the GUI, it comes up with a section to copy and paste into either

clearml-init

or

~/clearml.conf

. I want the files server displayed here to be a GCP address

Regarding this - I think you should open a github feature request since there is currently no way to do this via UI

Then indeed it looks like a network/provider issue

Very similar to a task, a project has also a unique identifier - the ID (Although I think project names are also unique)

You can get the project ID either from UI (If you go to a specific project, the project ID will be in the url) or from the api as documented in:
https://clear.ml/docs/latest/docs/references/api/projects#post-projectsget_all
or from the sdk as documented here:
https://clear.ml/docs/latest/docs/references/sdk/task#taskget_project_id

Plug that project ID into the filter ...

Check the environment variables, maybe test with export maybe there's some env var hiding there 🙂

Hi @<1523701235335565312:profile|HugeArcticwolf77> , user roles & permissions are only available in the Scale & Enterprise versions

Can you try and specify the exact absolute path? I think that might be the problem.

Maybe SuccessfulKoala55 has more insight.

Can you check the logs of the apiserver? Maybe something caused an internal error

Hmmmm you can automate the cleanup. Iterate through folders, if such an experiment exists, skip, if no experiment exists, delete folder

Always good to use the latest 🙂

You'll need to assign an agent to run on the queue, something like this: 'clearml-agent daemon -- foreground --queue services'

Hi RoughTiger69 ,

If you create a child version and add the delta of the files to the child, fetching the child version will also fetch the parents files as well

However it would be advisable to also add the following argument to your code : Task.init(..., output_uri=True)

From the log it looks like there is no ssh installed on the image:

cloning: git@bitbucket.org:pendulum-systems-inc/repo.git
ssh -oBatchMode=yes: 1: ssh: not found
fatal: Could not read from remote repository.

Hi @<1544853695869489152:profile|NonchalantOx99> , how are you running the pipeline? What are the clearml & server versions?

Do you have a snippet that reproduces this?

Yeah I see what you're saying. It doesn't keep it's type. This might be a bug.

I don't think there should be an issue to run the agent inside a docker container

Hi QuaintJellyfish58 , you mean like through conda?

MelancholyElk85 , fair point 🙂

How do you initialize your tasks?

Hi @<1813745484821434368:profile|SuccessfulPigeon84> , these are Enterprise only features as far as I'm aware. I would suggest contacting ClearML's sales 🙂

I'm not quite sure I understand. Is this from the clearml-agent?

Does it save the code in the uncommitted changes?

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

You mean it works that way?

Then the fix should be out in next version 🙂

CluelessElephant89 , Hi 🙂

An experiment cannot be 'unpublished' through the UI since it's a 'finalizing' action that the UI also gives a popup regarding. I think you can reset the task with Task.reset(force=True) through the SDK. This however will remove all logs/metrics.

https://clear.ml/docs/latest/docs/references/sdk/task#reset

What is the reason you would like to 'un-publish' and what would you want the new state to be, completed?

Hi @<1759749707573235712:profile|PungentMouse21> , you should be able to access machine logs from the autoscaler, this should give you a place to search

You also have onboarding videos there, I suggest you review all videos.

You can even decide individually per step