And regarding the first question - Edit your

~/clearml.conf

That would change what file server is used by me locally or an agent yes, but I want to change what is shown by the GUI so that would need to be a setting on the server itself?

I ran into something similar, for me I'd actually cloned the repository using the address without the git@ (something made it work). ClearML read it from the remote repository URL and used it. When I updated the URL of the remote repository in my git client it then worked.

FrothyDog40 https://github.com/allegroai/clearml-docs/pull/235

Thanks @<1523701087100473344:profile|SuccessfulKoala55> , I’ve taken a look and is this force merging you’re referring to? Do you know how often ES is configured to merge in clearml server?

Ah apologies for getting the wrong end of the stick a bit!

Not sure if it helps you or not, but when the link to an artifact didn't work for me it was because the URL being used was internal to the server (I had an agent that had access to internal endpoints). In my case setting the agent fileserver url to the public domain solved my issue.

Is that deletion when deleting a task in the GUI?

Hi CostlyOstrich36 thanks for the response and makes sense.

What sort of problems could happen, would it just be the corruption of the data that is being written or could it be more breaking?

For context, I’m currently backing up the server (spinning it down) every night but now need to run tasks over night and don’t want to have any missed logs/artifacts when the server is shutdown.

Thanks for confirming, I can make a PR if that would be helpful?

Updating the server has solved the issue 👍

OK that's great, thanks for the info SuccessfulKoala55 👍

Thank you 🙂

CumbersomeCormorant74 just to confirm in my case the file's aren't actually deleted - I have to manually delete them from the fileserver via a terminal

Another option would be to do
task.close() task.reset()And then execute an agent to pick up that task, but I don’t think reset is part of the public API. Is this risky?

Amazing, task.__dict__ is just what I was looking for!

That said, maybe the connect dict is not the best solution for thousand key dictionary

Seems like it isn't haha!
What is the difference with connect_configuration ? The nice thing about it not being an artifact is that we can use the gui to see which hashes have changed (which admittedly when there are a few thousand is tricky anyway)

Yeah it's strange isn't it!

Yes please that would be great 👍

From my limited understanding of it, I think it's the client that does the saving and communicating to the fileserver not the server, whereas deletion is done by the GUI/server which I guess could have different permissions somehow?

Yep can do 👍

That's great, thank you very much. Will give it a whirl today or tomorrow

Could well be the same as https://github.com/allegroai/clearml-server/issues/112 which is also discussed https://clearml.slack.com/archives/CTK20V944/p1648547056095859 🙂

Hi CostlyOstrich36 , thanks for getting back to me!

I want to launch multiple tasks from one python process to be run by multiple agents simultaneously.

My current process for launching one task remotely is to use task.execute_remotely , and then I separately spin up a VM and execute a ClearML agent on that VM with the task ID.

Ideally, I would like to create multiple tasks in this way - so do Task.init(…) , set up some configuration, and then task.execute_remotely in a l...

Ah right, nice! I didn’t think it was as I couldn’t see it in the Task reference , should it be there too?

CostlyOstrich36 thanks for getting back to me!

yes!

That's great! Please can you let me know how to do it/how to set the default files server?

However it would be advisable to also add the following argument to your code :

That's useful thanks, I didn't know about this kwarg

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

Ok, thanks Jake!

It seems to be an issue that a few people are having problems with: https://github.com/allegroai/clearml-server/issues/112

I think a note about the fileserver should be added to the https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_security page!

Tasks are running locally and recording to our self deployed server, no output in my task log that indicates an issue. This is all of the console output:

2023-01-09 12:53:22 ClearML Task: created new task id=7f94e231d8a04a8c9592026dea89463a ClearML results page: 2023-01-09 12:53:24 ClearML Monitor: GPU monitoring failed getting GPU reading, switching off GPU monitoringAre there any logs in the server I can check? The server is running v1.3.1 and the issue I’m see is with version 1....

I guess two more straightforward questions:

Could it be made possible for task.execute_remotely(clone=False, exit_process=False) to not raise an exception? Im happy work on a PR if this would be possible Is there any issue to having task.reset() in the public API/is there any potential issues with using?