Hi RotundSquirrel78 , can you try clearing local cache? For me everything is showing properly

Can you add the api section of your clearml.conf and also a log of a task?

@<1564060263047499776:profile|ThoughtfulCentipede62> , you can run the agent twice on different queues - one with docker one without

minio creds, server creds, someone with ill intentions could have accessed your cluster by now

Hi @<1595225620323766272:profile|VivaciousElk3> , you can set it with env variables - None

The ones that you're looking for are:
CLEARML_AGENT_SKIP_PIP_VENV_INSTALL
CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL

How did you name the alternative clearml.conf file?

Hi AverageRabbit65 , can you elaborate on what you're trying to do?
ClearML-Agent will automatically create a venv and install everything

CharmingStarfish14 , maybe SuccessfulKoala55 can assist

ZanyPig66 , Hi.

To use a custome docker image with ClearML you need to have that image locally on the machine that is runing the agent. In the experiment you can specify the docker image either via UI (in the Execution -> Container sections)

Or in code like this:
task.set_base_docker(docker_image="python:3.9-bullseye")

I think you can simply reset and enqueue the task again for it to run. Question is, why did it fail?
Are you running the HPO example? What do you mean by adding more parameter combinations? If the optimizer task finished you either need a new one or to reset the previous and re-run it.
You can do various edits while in draft mode

Hi @<1575656665519230976:profile|SkinnyBat30> , what version of ClearML are you using? Are you uploading datasets from the same machine also to GCS?

Hi @<1574931891478335488:profile|DizzyButterfly4> , can you please put the logs in the a more readable format like

this is much nicer for logs

Also please add a code snippet that reproduces this

Yes you can, see the examples here 🙂
None

I think it is one of the parameters of the task. Fetch a Task and see what properties the artifact has 🙂

Hi @<1825704341311328256:profile|ManiacalSeahorse6> , you mean you have some existing users with each user having some data on their workspace and you would like to basically 'merge' the workspaces together?

DepressedFish57 , I'm not sure there is something for this. There is a cleanup service to kill old failed/aborted tasks but to clear caches you'd have to handle it manually 🙂

You can add it manually to the requirements

Hi @<1722061354531033088:profile|TroubledCamel37> , what do you see in the apiserver logs?

Hi @<1566596968673710080:profile|QuaintRobin7> , do you have a self contained snippet that will reproduce this?

Hi @<1536881167746207744:profile|EnormousGoose35> , I think this is coded in the system. Maybe open a GitHub request for feature to follow up on this 🙂

How does your configuration look like?

What are the requirements specific in the experiment UI?

In the UI, you can edit the docker image you want to use. You can then choose an image with the needed python pre-installed

You're looking to avoid running an agent this entire time though, correct?

Hi @<1524560082761682944:profile|MammothParrot39> , I think that might be the issue. Is this a self deployed server?

As far as I know Hyper-datasets also support csv/tabular data quite well 🙂

Hi @<1660817806016385024:profile|FantasticMole87> , you'll either have to re-run it or change something in the DB. I suggest the first option.

In the end the data is physically uploaded somewhere and ClearML keeps the link to it. What would you suggest?

I think the uncommitted changes section is some git diff output. I think you can google on how to use it 🙂

What version of clearml-agent are you using? Can you add the full log here?