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

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

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

thanks CostlyOstrich36

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"])

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

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

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

getting the same behaviour

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

ops. 1.1.6

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

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

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

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 🙂

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

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?

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

thank you so much SweetBadger76

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

yes

yes, sure 🙂 thank you

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

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

CostlyOstrich36 any updates on this?

cc. SuccessfulKoala55

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

that works 🙂