Hi @<1736919317200506880:profile|NastyStarfish19> , can you provide an example script that reproduces this behaviour? Also full log of the execution would be useful 🙂
Also how are you uploading? Because if you don't zip the folder and upload withtask.upload_artifact('local folder', artifact_object=os.path('<PATH_TO_FOLDER>'))
This should work
Hi @<1523708340473958400:profile|SweetHippopotamus84> , can you please provide some code snippet that reproduces this?
Hi @<1645235137467650048:profile|WobblyHamster93> , what exactly are you trying to achieve?
I think you can simply save the creating task ID as a configuration parameter (I'm just thinking out loud)
ColorfulRaven45 Hi!
I'm afraid this is kind of a plotly limitation. Currently you can switch to full screen view OR hit the maximize graph button (it shows on over) for a better view.
We'd be happy to take a suggestion though 🙂
Hi @<1570220844972511232:profile|ObnoxiousBluewhale25> , I think the API server can delete things only from the files server currently. However the SDK certain has the capability to delete remote files
Hi @<1572395190897872896:profile|ShortWhale75> , this capability exists as part of the HyperDatasets feature which is present in the Scale/Enterprise licenses.
Can you give an example of a pipeline to play with?
Are you running self deployed?
Hi @<1675675716852649984:profile|LackadaisicalLizard46> , I think that's a really neat idea, maybe open a GitHub feature request?
Hi WackyHorse2 ,
What happens if you rename your model to ' u2net-ne1
' instead and try reloading it into triton?
To use the SDK see here:
https://clear.ml/docs/latest/docs/references/sdk/task#taskget_all
MoodySheep3 , a screenshot would be useful just to understand the structure via UI 🙂
Can you please add a screenshot of how the hyper params show in the UI for you?
Hi MoodySheep3 ,
Can you please provide screenshots from the experiment - how the configuration looks like
Hi TrickyFox41 , are you getting some sort of error?
Just so I understand the scenario - You're using Minio (I assume no special configs) and when saving debugs Minio all the files are there but in the UI you can't view it, correct? How did you save debug samples to Minio - by default they are always saved to fileserver?
I might be wrong. Did you try 1.9.1?
Hi TrickyFox41 , I think this issue is solved in 1.9.0, please update to the latest version of clearml
Hi NarrowLion8 , do you have a snippet? Just changing the file_server
attribute caused that?
Hi NarrowLion8 , this is usually saved in the 'INFO' section of the experiment. 'Status Reason' is the field you're looking for I think
Hi NarrowLion8 , you can simply change the file_server section to an s3 bucket like files_server:
s3://my_test_bucket
Hi! Good to see another ClearML user that carries it with them between companies ^^
Also, did you make sure to give the required permissions to the clearml folders in /opt/clearml/
?
That's weird. Did you do docker-compose down
and up properly?
Hi WickedCat12 , are you running your own server or are you using the Saas
WickedCat12 , can you please add the payload?