CostlyOstrich36 any updates on this?

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

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

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

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 🤔

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

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

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

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"])

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

yes, sure 🙂 thank you

ops. 1.1.6

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?

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

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

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

thank you so much SweetBadger76

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

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

that works 🙂

getting the same behaviour

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

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

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

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 😞

so, yes each user has its own credentials

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 🙂

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

yes

cc. SuccessfulKoala55