Hi BoredBat47 , I'm not sure. However I doubt that any remote agents would be taking such a configuration

but without -d

It means there is nothing reporting iterations explicitly or any iterations being reported by any framework. This means scalers will show with time from start as x axist instead of iterations

Hi @<1526371965655322624:profile|NuttyCamel41> , try upgrading the Azure SDK package and try running again

To use the SDK see here:
https://clear.ml/docs/latest/docs/references/sdk/task#taskget_all

Hi @<1724235687256920064:profile|LonelyFly9> , what data/information are you looking to get using the user id?

Hi ObedientToad56 , you can simply delete all of them since it's only cache. It's safe to delete cache 🙂

Hi @<1655744373268156416:profile|StickyShrimp60> , do you have any code that can reproduce this behavior?

Hi @<1523701304709353472:profile|OddShrimp85> , you can do dir(object) to see what options you have. I think it would be something like <DS>.id

I'm not sure that is possible. What is your specific use case?

Hi GentleSwallow91 ,

1. When using jupyter notebooks its best to do task.close() - It will bring the same affect you're interested in
2. If you would like to upload to the server you need to add the following parameter to your Task.init() The parameter is output_uri. You can read more here - https://clear.ml/docs/latest/docs/references/sdk/task#taskinit
   You can either mark it as True or provide a path to a bucket. The simplest usage would be ` Task.init(..., output_uri...

Also services agent is not related to regular agent executions

Hi GentleSwallow91 , I would highly recommend upgrading to 1.9 as it brings new also a new major feature (as well as minor bug fixes). I'm not sure about DB migration - there might be one or two. I suggest taking a look at the versions in between 🙂

Hmmmmm no that's a bad solution, you're right, maybe SuccessfulKoala55 , might have an idea?

Hi DiminutiveBaldeagle77 ,
Yes - https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_kubernetes_helm/ If you already have K8s cluster it is beneficial since you get scheduling capabilities which are not normally present in K8s

Hi ShallowGoldfish8 ,

You can get specific chunks/files using the part argument:
https://clear.ml/docs/latest/docs/references/sdk/dataset#get_local_copy

You mean like sort of a stop period where you wait for additional input for pipeline to continue?

How are you currently setting it up?

The chart already passes the --create-queue command line option to the agent, which means the agent will create the queue(s) it's passed. The open source chart simply doesn't allow you to define multiple queues in detail and provide override pod templates for them, however it does allow you to tell the agent to monitor multiple queues.
None

@<1734020208089108480:profile|WickedHare16> , many different things, RBAC, users & groups, K8s dedicated support with advanced features, HyperDatasets, SSO/LDAP integration, dedicated support, dynamic GPU allocation, advanced GPU fractioning on top of K8s and much more.

You can see a more detailed list here - None

I would suggest contacting sales@clear.ml for more information 🙂

Hi @<1560073997809356800:profile|RotundPigeon65> , I think this is what you're looking for 🙂
None

I suggest reading the full doc page on this 🙂

Hi @<1623491856241266688:profile|TenseCrab59> , can you elaborate on what do you mean spending this compute on other hprams? I think you could in theory check if a previous artifact file is located then you could also change the parameters & task name from within the code

AppVersion? Can you share a screenshot of where you see it?

FreshKangaroo33 , what do you mean by syntax examples?
I think this should give you some context on usage 🙂
https://github.com/allegroai/clearml/blob/master/examples/reporting/hyper_parameters.py

@<1533257278776414208:profile|SuperiorCockroach75> , can you elaborate?

Hi @<1639799308809146368:profile|TritePigeon86> , I think the 1.16 refers to the version of the SDK. I'd suggest upgrading your server regardless 🙂

GrittyKangaroo27 , does this happen when you run a regular experiment in agent with same file?

GrittyKangaroo27 , I see no special reason why not, as long as you set the credentials correctly 🙂
Have you tried?

FrothyShrimp23 , I think this is more of a product design - The idea of a published task is one that cannot be easily changed afterwards. What is your use case for wanting to often unpublish tasks? Why publish them to begin with? And why manually?