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

upgraded to 1.3.2

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

oh, I found it 🙂
cd /opt/clearml sudo docker-compose restart apiserver

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

thanks CostlyOstrich36

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

thank you so much SweetBadger76

that works 🙂

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

how do I restart just the apiserver? If I’m not wrong this command
sudo docker-compose -f /opt/clearml/docker-compose.yml downwill stop all the services

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

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 😞

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

getting the same behaviour

however, I’m not able to get the audio excerpts uploaded as debug samples. Your suggestion above requires to use REST api via clearml.backend_api but I’m not very much familiar with it

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

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

Hey CostlyOstrich36 thank you 🙂 I haven’t yet started using the agent to run a task. I’m in the phase of tracking the experiments. The setup that I have is that there’s an yml conda env file (generated via conda env export ) that includes conda and pip packages. I’d like to log the content of that file in ClearML. I’ve tried to use force_requirements_env_freeze but it doesn’t do what I’d hope for. Any suggestion?

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

ops. 1.1.6

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

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)}}}

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

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

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

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 🤔

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

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 🙂

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