And additionally does the
When executing a Task (experiment) remotely, this method has no effect).
part means that if it is executed in a remote worker inside a pipeline without the dataset downloaded the method will have no effect ?
I think this means the add tags specifically will have no effect
SubstantialElk6 , do you mean the dataset task version?
Hi SweetHippopotamus84 🙂
What do you mean different? Entirely unrelated packages or entirely different unrelated versions? Could it be those packages are dependencies of your requirements?
Can you provide some examples/screenies?
Can you verify in the INFO section of an individual step to what queue it is enqueued into? Can you see them in the Queues page?
Hi, SkinnyPanda43 , from what version did you upgrade to which version?
When the SDK runs it takes the default in ~/clearml.conf
Hi SuperiorCockroach75 , can you please elaborate? What is taking to execute?
Hi SmugSnake6 , interesting point! Maybe open a Github issue to track this 🙂
I see, thanks for reporting this! I guess it should be an easy fix. Can you please open a Github issue to follow up on this?
As far as I know Hyper-datasets also support csv/tabular data quite well 🙂
Hi CostlyFox64 ,
Can you try configuring your ~/clearml.conf
with the following?agent.package_manager.extra_index_url= [ "https://<USER>:<PASSWORD>@packages.<HOSTNAME>/<REPO_PATH>" ]
VexedCat68 Hi 🙂
Can you please provide snippets of how you're saving and retrieving the files?
That's the controller. I would guess if you fetch the controller you can get it's id as well
SarcasticSquirrel56 , you're right. I think you can use the following setting in ~/clearml.conf
: sdk.development.default_output_uri: <S3_BUCKET>
. Tell me if that works
Hi @<1719524641879363584:profile|ThankfulClams64> , what do you mean regarding ClearML GPU Compute? Do you mean the Genesis autoscaler?
Hi @<1544853721739956224:profile|QuizzicalFox36> , currently there is no SDK option for this, however you can automate this using the API. I suggest opening developer tools (F12) to see what the UI sends when creating/editing reports and that way you can automate it
EcstaticGoat95 , thanks a lot! Will take a look 🙂
Hi @<1541592227107573760:profile|EnchantingHippopotamus83> , to "clean" a task, you need to reset it. Resetting a task will purge all outputs
Can you try with Task.connect()
?
https://clear.ml/docs/latest/docs/references/sdk/task#connect
Hi @<1523701457835003904:profile|AbruptHedgehog21> , what happens if you use a different size?
Hi PanickyMoth78 ,
What version of ClearML are you using?
Hi SlimyDove85 ,
Regarding the easiest method to track models - you can try tagging them.
Can you please elaborate on your use case?
Hi @<1578555761724755968:profile|GrievingKoala83> , you can do it directly through the UI by adding parameters, see examples here - None
Yes you could do that just make sure you have backups on everything and no data is lost 🙂
Hi @<1523713932588486656:profile|PerplexedWalrus3> , I'm not sure about the exact configuration of your setup but I'm quite sure you could do this fairly easily with pipelines and datasets in ClearML. Have you tried playing with Datasets to get the feeling of how it works?
Hi @<1664079296102141952:profile|DangerousStarfish38> , it means that it's not supported out of the box and might require more tinkering, but I've managed to run agent with docker mode on a windows machine previously 🙂
GiganticTurtle0 , then I'd guess that's the task that would be returned 🙂
Did you try?
You can edit the mongodb manually (strongly suggest against) to change users of experiments. Besides that, I'm afraid not. Each user would have to create separate credentials for themselves under their own user in the system.
A suggestion I might have is using the 'Description' field to write down the relevant user manually and adding that as a column in your view. The small cogwheel near the top right (next to the refresh button) will give you the option to add that column.
Hope this helps...
Hi @<1742355077231808512:profile|DisturbedLizard6> , you can open a GitHub feature request for this to be added 🙂