task=Task.current_task()
Will get me the task object. (right?)

PanickyMoth78 yes, always, from anywhere, this is a singleton object 🙂

Are you seeing the argparse arguments in the UI (when running locally) ?

ElegantCoyote26
parser = get_parser() args_ = vars(parser.parse_args()) task.connect(args_)There is no need to connect args_ Task.init will automatically catch the argparser.

hi @<1546303293918023680:profile|MiniatureRobin9>

I can still see the metrics in Grafana. I

it will not delete it from grafana, it means it's no longer collected, make sense ?

Unfortunately not yet in venv mode. What would you have put there?

MistakenDragonfly51 just making sure I understand, on Your machine (the one running the pytorch example),
you have set " CLEARML_DEFAULT_OUTPUT_URI " / configured the "clearml.conf" file with default_output_uri , yet the model checkpoint was Not uploaded?

Hi VexedCat68
Could it be the python version is not the same? (this is the only reason not to find a specific python package version)

Hi @<1532532498972545024:profile|LittleReindeer37>
Does Hydra support notebooks ? If it does, can you point to an exapmle?

UnevenDolphin73 I have a suspicion we have a few terms mixed:
hyperparameters :
These are essentially key/value.
when you call Task. connect (dict_with_params), clearml will flatten the dict and you end up with key/value
configuration objects :
These are actually blobs of text, the UI will show as is
When you call my_local_file=Task. connect_configuration (name, "path/to/config/file")
The entire Content of the config file is stored on the Task object itself.

Back to the use case, instead ...

Hmm, what's the clearml-agent version ?

Thanks VexedCat68 !
This is a great example, maybe PR it to the cleamrl-servvng repo ? wdyt?

But do consider a sort of a designer's press kit on your page haha

That is a great idea!
Also you can use:
https://2928env351k1ylhds3wjks41-wpengine.netdna-ssl.com/wp-content/uploads/2019/11/Clear_ml_white_logo.svg

Another issue that might be the case, might be that I'm on ubuntu some of the packages might've been for windows thus the different versions not existing

Usually this is not the case, the version number match (implementation wise it might be a different file, but it is almost always a matching version)

So obviously the straight forward solution is to report normalize the step value when reporting to TB, i.e. int(step/batch_size). Which makes sense as I suppose the batch size is known and is part of the hyper-parameters. Normalization itself can be done when comparing experiments in the UI, and in the backend can do that, if given the correct normalization parameter. I think this feature request should actually be posted on GitHub, as it is not as simple as one might think (the UI needs to a...

CleanPigeon16 , just making sure, docker is installed and configured on the host machine (i.e. Azure machine)?

StorageManager

Oh it has no remove 😞
StorageHelper.delete is the only way

OutrageousGrasshopper93 could you send an example of the two links from the artifacts (one local one remote) ?

Sorry my bad:
config_obj['sdk']['stuff']['here'] = value

Thanks!

mostly out of curiosity, what is the motivation behind introducing this as an environment variable knob rather then a flag with some default in Task.init?

DepressedChimpanzee34 we will deprecate the demo server (not exactly sure when) as we have the free community one that gives better service and stores the data. It was originally set for easy on-boarding and testing, but I think that now the user experience might be better with using the community free tier.
Make sense ? btw: what ...

Based on your code snippet:
Logger.current_logger().report_confusion_matrix(title='confusion', series=confusion', value=confmat_tensor.cpu().numpy(), iteration=i)or Task.current_task().get_logger()
which is the same as Logger.current_logger()

And you cannot see it in Trains UI?

Can you see it on the console ?

@<1542316991337992192:profile|AverageMoth57> it sounds like you should use SSH authentication for the agent, just set
force_git_ssh_protocol: true
None
And make sure you have the SSH kets on the agent's machine

Can I send you a wheel to test ?

ERROR: Error checking for conflicts. ... AttributeError: _DistInfoDistribution__dep_map

Hi UptightBeetle98
The hyper parameter example assumes you have agents ( trains-agent ) connected to your account. These agents will pull the jobs from the queue (which they are now, aka pending) setup the environment for the jobs (venv or docker+venv) and execute the job with the specific arguments the optimizer chose.

Make sense ?

Thank you @<1689446563463565312:profile|SmallTurkey79> !!!

LethalCentipede31 sure:
task.upload_artifact(object_or_file, name)https://github.com/allegroai/clearml/blob/master/examples/reporting/artifacts.py

clearml-agent deployment file

What do you mean by that? is that the helm of the agent ?