Hi @<1787653555927126016:profile|SoggyDuck67> , can you please provide the full log of the run? Also, can you please add a screenshot of the 'execution' tab of the experiment? I assume the original experiment was ran on python 3.10?

Can you please run ls -la /opt/clearml and send the output + your docker compose file

Backup what you currently have

Does it enqueue the task? From what you posted it should simply create a task and then enqueue it without any further action

I mean code wise. Also where is it saved locally?

AppetizingMouse58 , might have some input here 🙂

lol! Can you hit F12 and see what the server returns for the call projects.get_all_ex

In your ~/clearml.conf you can specify the following to force the model to upload with the following setting:
sdk.development.default_output_uri

Hmmmmm do you have a specific usecase in mind? I think pipelines are created only through the SDK but I might be wrong

EmbarrassedSpider34 , you can use the API to remove tasks from a queue
https://clear.ml/docs/latest/docs/references/api/queues#post-queuesremove_task

SmugDolphin23 , maybe you have an idea?

JitteryCoyote63 , are you on a self hosted server? It seems that the issue was solved for 3.8 release and I think should be released to the next self hosted release

HugeArcticwolf77 , what if you specify the exact python binary from conda using CLEARML_AGENT_SKIP_PIP_VENV_INSTALL?

I think you can get the task from outside and then add tags to that object

Hmmmm I couldn't find something in the SDK, however, you can use the API to do it

So you're using the community server? Response time really depends on the resources of the machine that is running the server and amount of data to filter

Hi @<1678212417663799296:profile|JitteryOwl13> , can you please add a snippet that reproduces this?

Can you add a code snippet that reproduces this for you please?

I think it was some minor misconfiguration on one of the servers running the applications, incorrect limit was set

Also a small clarification:
ClearML doesn't build the docker image itself. You need to have a docker image already built to be used by ClearML

Did you see any other errors in the server logs? Is the artifact very large by chance?

Well not really

Please elaborate 🙂

Hi @<1720249421582569472:profile|NonchalantSeaanemone34> , happy to hear you also enjoy using ClearML 😄

You are spot on, ClearML provides the full end to end solution for your MLOps needs, meaning you don't need to using DVC,MLrun, MLflow and many others as all these capabilities are covered in ClearML and more!

Are you currently looking for any specific capability?

Hi @<1799974757064511488:profile|ResponsivePeacock56> , that is a neat idea! Do you still have access to the task on which you implemented it?

That's an interesting question. I think it's possible. Let me check 🙂

Hi AttractiveShrimp45 . You input min value as 0, max value as 1 and step as 1?

AdventurousButterfly15 please try upgrading to 1.4.0 - this should solve the issue
pip uninstall clearml-agent -y && pip install -U clearml-agent

Can you add a bit more from the log for more context as well?

Hi FierceHamster54 , I'm afraid currently this is not possible. Maybe open a Github issue to track this 🙂

For example doing a fresh installation of the previous version and using backup data so you have a fresh state. Then try to upgrade again.