getting the same behaviour

some actions can be done using clearml.Task , for instance get a local copy of a model, pull down the scalars etc.

thanks CostlyOstrich36

yes, I’m following these instructions https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_config#web-login-authentication

yes, sure 🙂 thank you

just to clarify, you mean clearml api credentials (not the aws ones)?

SuccessfulKoala55 this is what I see on the Profile page:
WebApp: 1.3.1-169 • Server: 1.3.1-169 • API: 2.17

Hey UnevenDolphin73 I'm also interested in this feature. Currently trying it out

I can’t see any useful line in the log. I’ll try the function. Thanks

thank you so much SweetBadger76

the setup we have is that each ML person has an account on the ClearML server (you probably recall https://clearml.slack.com/archives/CTK20V944/p1650551097924099 ) and its own set of credentials. On the machine each ML person has a clearml.conf file in which the cache directory is set to be the same of everybody else

Thank you CostlyOstrich36 , when I’ll get back to this I’m sure I will have other questions 🙂

so, yes each user has its own credentials

CostlyOstrich36 thank you 🙂 I suppose the issues isn’t necessary if someone is already working on a fix?

maybe I need to call this: https://clear.ml/docs/latest/docs/references/sdk/logger#set_default_upload_destination

that works 🙂

upgraded to 1.3.2

give it few seconds an should work. That’s what I’ve experienced 🙂

I was on 1.2.0
Upgrading to 1.3.0 resolved the issue with S3 credentials request 🙂
thank you

storage { cache { # Defaults to system temp folder / cache default_base_dir: "/scratch/clearml-cache" }this is it. I’ve only changed this bit

I’m getting this error:
2022-04-01 16:23:47,578 - clearml.storage - ERROR - Failed testing access to bucket xxx: incorrect region specified for bucket xxxx (detected region eu-west-1)but the server knows how to do the upload because I can do task.upload_artifact without problems 🤔

Hey CostlyOstrich36 , the parameter I’m trying to log is a tuple (0, 100, None) and it’s stored in a nested dictionary. E.g.
{"a": {"b": {"c": (0, 100, None)}}}

is https://clear.ml/docs/latest/docs/faq/#clearml-api the only place to see how to use the backend_api?

Your suggestion CostlyOstrich36 works: I’ve added the line in the clearml.conf file.

However, now when I go in the Results -> Debug Samples tab, the s3 credential window pops up. Every time that I refresh the page 😞

In [6]: type(conf["a"]["b"]["c"]["d"]) Out [6]: tuple

ops. 1.1.6

Is there a vital reason why you want to keep the two accounts separate when they run on the same machine?

I’ve already implicitly answered this, but to be more precise, having multiple users allows to know who ran the experiment 🙂

if this is a bug, I can raise an Issue in github and provide a snippet of code to reproduce it

CostlyOstrich36 any updates on this?

I’d like to programmatically (e.g. jupyter notebook) retrieve files/info related to a task from the server