Hi @<1523701260895653888:profile|QuaintJellyfish58> , if you run in docker mode you can easily add environment variables.
Can you elaborate a bit on your use case? If it's python code, why not just put it in the original file or import from the repo?
So early/mid experiment run everything aligned fine?
Do you explicitly specify the region?
Also, please try specifying the buckets directly in your ~/clearml.conf
The relevant section is sdk.aws.s3.credentials
It would look something like this:
{ host: "<BUCKET_A_HOST>" key: "<KEY>" secret: "<SECRET>" region: "<REGION>" }
Hi @<1569496075083976704:profile|SweetShells3> , do you mean to run the CLI command via python code?
Hi @<1554638179657584640:profile|GlamorousParrot83> , yes it is supported just like in the AWS autoscaler π
In the UI you can add 'parent' column and filter by parent
Not sure, let me know what works π
I don't think there should be an issue to run the agent inside a docker container
Also, is the Pro plan autoscaling option the only way to run clearml in the cloud without having a dedicated VM thatβs running all the time?
Yes, GCP autoscaler is only available in the PRO & Scale/Enterprise
Hi @<1533619716533260288:profile|SmallPigeon24> , can you please elaborate on your usecase ?
Hi @<1584716355783888896:profile|CornyHedgehog13> , you can only see a list of files inside a dataset/version. I'm afraid you can't really pull individual files since everything is compressed and chunked. You can download individual chunks.
Regarding the second point - there is nothing out of the box but you can get a list of files in all datasets and then compare if some file exists in others.
Does that make sense?
Hi CurvedHedgehog15 ,
Can you please provide a short snippet to reproduce this?
In which section are we looking at currently in the comparison?
Hi @<1729309137944186880:profile|GrittyBee73> , It has a python API used under the hood indeed:
None
examples on how to use it: None
[None](https://github.com/allegroai/clearml-serving/blob/724c99c605540cdae25e4ef504c09f705cd53503/clearml_serving/serving/model_request_proces...
Hi QuaintJellyfish58 , you mean like through conda?
Yes you can, see the examples here π
None
I think its possible there was an upgrade in Elastic, I'd suggest going over the release notes to see if this happened with the server
@<1756488209237282816:profile|IdealCamel64> , to address your questions:
- Yes
- Yes, but as @<1576381444509405184:profile|ManiacalLizard2> said, let your users try and I'm sure they'll prefer ClearML π
I think this might be what you're looking for:
https://clear.ml/docs/latest/docs/references/api/workers
https://clear.ml/docs/latest/docs/references/api/queues
You can access all reports through the REST API
Wait I might be missing something. Are you running a self hosted server?
JitteryCoyote63 Hello π
So That I understand correctly you have a task where you pull data from us-east-1 and then want to upload the data on eu-central-1 but it's failing due to the region change, correct? Can you please give an example of the failure in console?
Hi @<1539417873305309184:profile|DangerousMole43> , I don't think such a capability exists. You can however add a link to a file as a parameter and then run it from the GUI.
Regarding the drag and drop capability I think it's a really cool idea! Maybe open a feature request on GitHub?
JitteryCoyote63 , well I'm happy to hear that everything worked out in the end π
Hi WickedCat12 ,
During Task.init()
you can specify auto_connect_frameworks=False
for the framework you're working with. However please note that this will stop auto reporting scalars etc
https://clear.ml/docs/latest/docs/references/sdk/task#taskinit
Hi @<1564785037834981376:profile|FrustratingBee69> , you can simply run the agent without the --docker command
Hi @<1743079861380976640:profile|HighKitten20> , can you please provide the log of the job itself in ClearML(Console section of the experiment)?
TrickySheep9 , what is the use case? If I understand correctly, you want to use ClearML's package detection in a script to get the imports or do you want all the packages in the environment you're running?
Hi @<1523701235335565312:profile|HugeArcticwolf77> , user roles & permissions are only available in the Scale & Enterprise versions