Well you do somehow need to pass the data, no?

Hi DeliciousKoala34

I am using Pycharm and i have set up the clear-ml plugin, but it still doesnt work.

Did you provide the key/secret to the plugin? I think this is a must for it to actually work

Hi NastyFox63 could you verify the fix works?
pip install git+

I have to specify the full uri path ?

No it should be something like " s3://bucket "

the model files management is not fully managed like for the datasets ?

They are 🙂

HealthyStarfish45 you mean like replace the debug image viewer with custom widget ?
For the images themselves, you can get heir urls, then embed that in your static html.
You could also have your html talk directly with the server REST API.
What did you have in mind?

Glad to hear!
(yeah @<1603198134261911552:profile|ColossalReindeer77> I'm with you the override is not intuitive, I'll pass the info to the technical writers, hopefully they can find a way to make it easier to understand)

mean? Is it not possible that I call code that is somewhere else on my local computer and/or in my code base? That makes things a bit complicated if my current repository is not somehow available to the agent.

I guess you can ignore this argument for the sake of simple discussion. If you need access to extra files/functions, just make sure you point the repo argument to their repo, and the agent will make sure your code is running from the repo root, with all the repo files under i...

It’s the correct way to do it, right?

Yep 🙂 that said this is not running as a service you will need to spin it on your machine. that said you can definitely connect it with the free SaaS server, and spin the serving on your machine with docker-compose

JitteryCoyote63 you mean in runtime where the agent is installing? I'm not sure I fully understand the use case?!

Hi OutrageousGiraffe8

Does anybody knows why this is happening and is there any workaround, e.g. how to manually report model?

What exactly is the error you are getting? and with which clearml version are you using?
Regrading manual Model reporting:
https://clear.ml/docs/latest/docs/fundamentals/artifacts#manual-model-logging

Hi DeliciousKoala34
This means the pycharm plugin was not able to run git on your local machine.
Whats your OS ?
could it be that if you open cmd / shell "git" is not in the path ?

Oh found it:
temp.linux-aarch64-cpython-39this is Arm?!

When using the UI with regex to search for experiments, due to the greedy nature of the search, it consistently pops up the "ERROR Fetch Experiments failed" window when starting to use groups in regex (that is, parentheses of any kind).

hmm that is a good point (i.e. only on enter it would actually search)

Could it be updated so that if an invalid regex pattern is given, it simply highlights the search bar in red (or similar) rather than stop us while writing the search pattern?

...

SuperiorDucks36 from code ? or UI?
(You can always clone an experiment and change the entire thing, the question is how will you get the data to fill in the experiment, i.e. repo / arguments / configuration etc)
There is a discussion here, I would love to hear another angle.
https://github.com/allegroai/trains/issues/230

I pull all the parameters, and then manually filter on the HP keys (manually=I have to plug them in, they are not part of optimizer object)

So is this an improvement to optimizer._get_child_tasks_ids(...) interface ?
e.g. return a structure like:
[ { 'id': task_id, 'hp1': value, 'hp2': value, 'hp3': value, 'objective': dict(title='title', series='series', value=42 }, ]

It is currently only enabled when using ports mode, it should be enabled by default , i.e a new feature :)

I'm already at 300MB of usage with just 15 tasks

Wow, what do you have there? I would try to download the console logs and see what the size you are getting, this is the only thing that makes sense, wdyt?

BTW: to get the detailed size for scalars, maximize the plot (otherwise you are getting "subsampled" data)

I see now, give me a minute I'll check

Hi @<1533620191232004096:profile|NuttyLobster9>
First nice workaround!
Second could you send the full log? When the venv is skipped then pytorch resolving should be skipped as well, and no error should be raised...
And Lastly could you also send the log of the task that executed correctly (the one you cloned), because you are correct it should have been the same

Correct 🙂

TrickyRaccoon92 Thanks you so much! 😊

Yes you can drag it in the UI :) it's a new feature in v1

Check on which queue the HPO puts the Tasks, and if the agent is listening to these queues

I'm with on this one 🙂 it better to make a company wide decision on these things and not allow too much flexibility (just two options to choose from, and it should be enough, I think)

Hi @<1545216070686609408:profile|EnthusiasticCow4>

will ClearML remove the corresponding folders and files on S3?

Yes and it will ask you for credentials as well. I think there is a way to configure it so that the backend has access to it (somehow) but this breaks the "federated" approach

that really depends on hoe much data you have there, and the setup. The upside of the file server is you do not need to worry about credentials, the downside is storage is more expensive

Yes, no reason to attach the second one (imho)

Hi PungentLouse55

Hope you are not tired of me

Lol 🙂 No worries

I am using trains 0.16.1

Are you referring to the trains-server version or the python package ? (they are not the same and can be of totally different versions)

And the agent is in docker mode or venv mode?