Pipelines have id's, you can try using a pipeline ID. I think it should work
Hi @<1838387863251587072:profile|JealousCrocodile85> , are you referring to one of the examples? What steps did you take?
Hi HarebrainedBaldeagle11 , I think OSS is bring your own security so it's probably possible
CluelessElephant89 , I'd wager you might have missed one of the steps in the installation, probably permissions issue, I hope 🙂
Hi @<1578918150261444608:profile|RoundJellyfish71> , you can certainly add models directly to the registry.
I think this is what you're looking for 🙂
None
@<1523701977094033408:profile|FriendlyElk26> , try upgrading to the latest version, I think it should be fixed on the latest version
GrittyKangaroo27 , Hi!
ClearML currently does not support deleting S3 objects through the UI. I believe it will be added in coming versions 🙂
My guess is it's failing to auto-detect the fileserver. The UI doesn't take info from the docker-compose so I think you'll need to add it in manually.
May I ask why you've changed the ports from the default mappings?
What is the status of the steps? What is the execution queue and is there an agent running against it?
What is your use case though? I think the point of local/remote is that you can debug in local
GiganticTurtle0 , it looks like an issue with the latest RC. We're working on it to fix it 🙂
Hi @<1790915059254300672:profile|JealousMouse90> , there is no way to that in the OS/Community. User management & Role based access controls are part only of the Scale/Enterprise licenses.
Hi :)
What is kfserving?
Or when running something and uploading to a s3?
Hi @<1731483438642368512:profile|LoosePigeon2> , you need to set the following:
sdk: {
development: {
store_code_diff_from_remote: false
store_uncommitted_code_diff: false
On the machine you're running your pipeline from
Why does the figure change so drastically? And how can I solve it?
What are you referring yo specifically? The data plots seem to be identical.
Sidenote: there seems to be a bug in the plot viewer, as the axis are a bit chaotic..
Do you mean the x/y intersection?
I usually use: https://clear.ml/docs/latest/docs/references/api/index
Also, it's quite useful to use the UI as a reference. You can hit F12 in the browser and you can see all the api calls, I use that to figure out call structure
Hi! The status is in_progress from backend perspective. Please try like that 🙂
Hi GentleSwallow91 ,
ClearML has seamless integration with git. ClearML automagically detects the repository the code was run from, specific commit AND uncommitted changes. Each experiment has it's git data logged individually. You can see this in the 'Execution' section in the webUI.
RotundSquirrel78 , try going into localhost:8080/login
Please filter by 'XHR' and see if there are any errors (any return codes that aren't 200)
Please open developer tools (F12), go to the network tab and refresh the page
@<1541954607595393024:profile|BattyCrocodile47> , that is indeed the suggested method - although make sure that the server is down while doing this
OK, there appears to be a github issue relating this:
https://github.com/allegroai/clearml/issues/388
I was right regarding encountering this before. People have asked for this feature and I think it appears to be a priority to add as a feature.
You can circumvent auto logging with the following:task = Task.init(..., auto_connect_frameworks={'pytorch': False})However you will need to log other models manually now. More information is in the github issue 🙂
Hi DepravedCoyote18 , as long as you have everything backed up (configurations and data) on /opt/clearml/ (I think this is the default folder for storing clearml related stuff) the server migration should work (Data is a different issue).
However, ClearML holds links internally for datasets/debug samples/artifacts and a few other outputs maybe. Everything currently logged in the system to a certain minio server will still be pointing to that minio server.
Does that make sense?
but you can use it with or without K8s