Not really sure that's easily done ... I mean you could query the data, but I'm not sure how you would import it. Btw why would you move from pro to self hosted?

Hi EnviousStarfish54
After the pop up do you see the plot on the web UI?

yes 🙂

What's the Windows version, python version, clearml version, you are using ?

Great, you can test directly from the master 🙂
pip3 install -U git+

There is a version coming out next week, the one after it (probably 2/3 weeks later) will have this feature

that is because my own machine has 10.2 (not the docker, the machine the agent is on)

No that has nothing to do with it, the CUDA is inside the container. I'm referring to this image https://allegroai-trains.slack.com/archives/CTK20V944/p1593440299094400?thread_ts=1593437149.089400&cid=CTK20V944
Assuming this is the output from your code running inside the docker , it points to cuda version 10.2
Am I missing something ?

Is the code in this "other" repo downloaded to the agent's machine? Or is the component's code pushed to the machine on which the repository is?

Yes this repo is downloaded into the agent, so your code has access to it

Just fixed, will be merged later, basically some field you are not supposed to change post execution (but system tags should be exempt from that). The SDK checks before the backend does, so you get a nice error 🙂 anyhow the backend will obviously allow it

SmallDeer34 No worries, I'm happy to hear the issue disappeared 🙂

Yeah the ultimate goal I'm trying to achieve is to flexibly running tasks for example before running, could have a claim saying how many resources I can and the agent will run as soon as it find there are enough resources

Checkout Task.execute_remotely() you can push it anywhere in your code, when execution get to it, If you are running without an agent it will stop the process and re-enqueue it to be executed remotely, on the remote machine the call itself becomes a noop,

I...

You mean the job with the exact same arguments ?
do you have other arguments you are passing ?
Are you using Optuna / HBOB ?

force_analyze_entire_repo to to True 🙂
(false is the default)

SmugDog62 so on plain vanilla Jupyter/lab everything seems to work.
What do you think is different in your setup ?

MagnificentSeaurchin79 making sure the basics work.
Can you see the 3D plots under the Plot section ?
Regrading the Tensors, could you provide a toy example for us to test ?

Hi WearyLeopard29
Yes 🙂 this is exactly how it should work

The "Optimizer task" will continue to run as long as there are sub-Tasks it launched.
Is anything else running/pending ?

I think there was an issue with the entire .ml domain name (at least for some dns providers)

sorry that I keep bothering you, I love ClearML and try to promote it whenever I can, but this thing is a real pain in the ass 

No worries I totally feel you.
As a quick hack in the actual code of the Task itself, is it reasonable to have:
task = Task.init(....) task.set_initial_iteration(0)

StorageManager

Oh it has no remove 😞
StorageHelper.delete is the only way

Hi JitteryCoyote63
So the main issue is backing up the elastic & mongo DB while they are running, once they are backed/restored, the server will spin as is. (Let me check regrading the reddis, it might be that since it is used for caching there is no need to actually backup the content only the configuration)

However, when we try to access the webapi from remote through the VPN we fail. The VPN logs don't show any blockage. Any ideas?

Maybe the VPN firewall blocks http connections ? or it might be BrightRabbit75 case, that sounds quite logical to never show anywhere

ReassuredTiger98 you mean when calling clearml-init ? or default value?

And if this is the case, that would explain the empty elastic as well

That is a bit odd, But SSH keys have to have a specific chmod flags for them to work (security issues)
What was the error ?

Funny this was mentioned just today 🙂
https://clearml.slack.com/archives/CTK20V944/p1620664770492400

Basically if you want to always ignore the "installed packages" in your clearml.conf, put:
agent.package_manager.force_repo_requirements_txt = true

FrustratingWalrus87 If you need active one, I think there is currently no alternative to TB tSNE 🙂 it is truly great 🙂
That said you can use plotly for the graph:
https://plotly.com/python/t-sne-and-umap-projections/#project-data-into-3d-with-tsne-and-pxscatter3d
and report it to ClearML with Logger report_plotly :
https://github.com/allegroai/clearml/blob/e9f8fc949db7f82b6a6f1c1ca64f94347196f4c0/examples/reporting/plotly_reporting.py#L20

ohh, the copy paste thing when you generate credentials ?

do you know how can i save all the logs and all the metric images?

These are stored into clearml-server, no? what am I missing ?

Is it being used to ssh to the instance?

It is used for the SSH client so it "knows" the SSH server (does that make sense) ?