yes

so, yes each user has its own credentials

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

yes, sure 🙂 thank you

CostlyOstrich36 any updates on this?

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)}}}

upgraded to 1.3.2

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

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

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

getting the same behaviour

ops. 1.1.6

cc. SuccessfulKoala55

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

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

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 🙂

Here it is https://github.com/allegroai/clearml/issues/671 🙂

FYI: I’ve added a possible fix to the issue https://github.com/allegroai/clearml/issues/671#issuecomment-1146640498

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

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

SuccessfulKoala55 is this fixed in this release https://clearml.slack.com/archives/C03E7MNDG3C/p1651763847469039 ?

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

I’ll put together some more info and raise an issue

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

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 🤔

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 😞

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

this is a snippet of code:
task = Task.get_task('xxx') session = Session() res = session.send(events.GetDebugImageSampleRequest( task=task.id, metric="xxx", variant="xxx") ) print(res.response_data["event"]["url"])

It would be also good if I could get all the variants for a given task_id and metric

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