Can I assume you're running the agent (in daemon mode) on the same machine that you're running the clearml-agent daemon --stop
command?
Try creating a new version and syncing the local folder (or try to specifically add files) π
It is reported as a plot, not an artifact π
It looks like you are running on the community server. Can you right click the experiment in the experiments table and click on 'Share' on all the relevant experiments and send here?
BrightMosquito10 simply re-run it with the new version π
GiganticTurtle0 , which ClearML version are you using? From what I can see in the documentation to add the new parameters, you'll have to task.connect() again to add the new args
ScaryBluewhale66 , Hi π
You would need to install ClearML-Agent to run it
Hi @<1644147961996775424:profile|HurtStarfish47> , published is one step after finalized technically, similar to tasks
I think the pipeline runs from start to end, starting when the first step starts
VexedCat68 , you need to run the agent on a machine with gpu. The server doesn't need to have gpu π
Regarding the queue:
Yes, if someone enqueues a task onto queue X, an agent listening to that queue will run the task.
SmugDolphin23 , maybe you have an idea?
Hi @<1523701842515595264:profile|PleasantOwl46> , do you see any errors in elastic or in mongo?
Also, any chance there is filtering to only user specific tasks/projects?
What happens if you send a link to an experiment between users?
Hi RoundMosquito25 , if you already have an instance of agent running on a queue and you run clearml-agent execute --id <task_id>
this will create another instance of the agent and will run the experiment regardless of what is happening with the other agent
Hi @<1639799308809146368:profile|TritePigeon86> , I'm not sure I understand, can you please elaborate on exactly what you're doing?
Hi @<1524560082761682944:profile|MammothParrot39> , how do you usually fetch metadata from a dataset?
Hi @<1574931891478335488:profile|DizzyButterfly4> , not sure what you mean. Can you elaborate on what you see vs what you expect to see?
Hi @<1635813046947418112:profile|FriendlyHedgehong10> , I think for this you need to create a child version and only add the new files to the child.
connected_config = task.connect({})
Looks like you're connecting an empty config..
AlertCrow40 , by the way. ClearML already has an integrated tool to work on a jupyter notebook.
In a couple of lines it will open a jupyter notebook for you to work with. Further reading here: https://clear.ml/docs/latest/docs/apps/clearml_session/
π
VexedCat68 , I don't think such an example exists, but if you create one it would be great if you opened a PR for the open source π
Hi @<1661542597597859840:profile|SilkyHawk58> , ClearML doesn't "utilize" the cards directly per se. ClearML enables your code to execute on remote machines (among many other things). However, the one actually utilizing the card is actually your code.
Makes sense?
SkinnyPanda43 , did Gabriel's tip help?