SwankySeaurchin41 , what do you mean? Can you give a specific example?
Hi @<1709015393701466112:profile|ScatteredPeacock14> , please open a GitHub issue for this to follow up on!
Hi @<1644147961996775424:profile|HurtStarfish47> , Do you have some basic code snippet that reproduces this behavior?
If it's deployed by you, then try running clearml-init
from the same machine the server is on. Doesn't matter if it's a cloud machine really
Hi @<1523704674534821888:profile|SourLion48> , can you try running it from the same machine that the server is running on?
Are you using the community server or did you deploy yourself?
SoreDragonfly16 You can disable this with the following argument in task.init() - auto_connect_frameworks=False for example:task = Task.init(..., auto_connect_frameworks={'pytorch': False})
You can refer to this documentation for further reading at this https://clear.ml/docs/latest/docs/references/sdk/task#taskinit 🙂
Hi @<1761199244808556544:profile|SarcasticHare65> , and if you run locally for the same amount of iterations this does not happen?
The ubuntu is the client side or you changed OS on the server side?
Hi @<1594863230964994048:profile|DangerousBee35> , I'm afraid that the self hosted version and the PRO versions are entirely disconnected. There are many more advanced features in the Scale/Enterprise licenses where you can have a mix of all the features you might be looking for. You can see the different options here - None
Exact same usage?
Hi @<1665891247245496320:profile|TimelyOtter30> , not sure I follow. It looks like a misconfiguration. I think you need to see the correct settings here: None , also note the direct reference to minio 🙂
Hi AlertCamel57 ,
Exporting/Importing data between ClearML servers is not supported in the open source version from what I understand.
You can however migrate the entire database very easily by moving /opt/clearml/data
(If I'm not mistaken this is where it sits) to another location. Make sure that the server is down while doing so, to avoid corruptions
Huh, what an interesting issue! I think you should open a github issue for this to be followed up on.
If you remove the tags the page resizes back?
Hi @<1696331935023894528:profile|BoredBee87> , role based access controls are available only in the Scale & Enterprise licenses. These licenses do support full on premise deployments. Besides role based access controls there are many other features available. I'd suggest contacting ClearML directly to hear about other options 🙂
Did you try this key/secret pair on other machines?
Hi ExasperatedCrocodile76 , I think you are correct. This is simply an info print out.
So in the first case you just run a task locally. In the second case you run a script that creates a task with Task.create()
which creates a draft task with execution parameters, output uri etc (Nothing in configuration I assume? Please check). This task is then enqueued and the script exists.
Afterwards on the remote machine task is pulled by agent (is it running in docker mode?) same code is pulled and execution begins.
At which point were the init params changed in the second case?...
Hi @<1582179661935284224:profile|AbruptJellyfish92> , looks like a bug. Can you please open a GitHub issue to follow up on this?
What errors are you getting?
You need to inspect the ES container directly
Hi @<1587615463670550528:profile|DepravedDolphin12> , can you please add the full log?
In network, the plots call returns empty?
Hi @<1648134232087728128:profile|AlertFrog99> , I don't think there is anything specifically built in for that. You can fetch a list of all children and then see the latest.
Not sure what I'm missing, but I'm quite sure you could do exactly that through the UI, no?
Where is most of the data concentrated?
Adding a custom engine example is on the 'to do' list but if you manage to add a PR with an example it would be great 🙂
Hi JitteryCoyote63 , can I assume you ran all DB migrations without issue?
GreasyLeopard35 , please try with the latest clearml-agent
Hi @<1523715429694967808:profile|ThickCrow29> , thank you for creating a github issue on this! Makes sense it would be moved to aborted 🙂