MagnificentPig49 is jsonargparse popular, should we fix the auto-magic ?

It appears that "they sell that" as Triton Management Service, part of

. It is possible to do through their API, but would need to be explicit.

We support that, but this is Not dynamically loaded, this is just removing and adding models, this does not unload them from the GRAM.
That's the main issue. when we unload the model, it is unloaded, to do dynamic, they need to be able to save it in RAM and unload it from GRAM, that's the feature that is missing on all Triton deployme...

• I'm happy tp hear you found a work around
• Seems like there is something wrong with the way the pbtxt is being merged, but I need some more information

{'detail': "Error processing request: object of type 'NoneType' has no len()"}

Where are you seeing this error?
What are you seeing in the docker-compose log.

If this is the case, there is nothing you need to change, just provide the docker image (no need to pass packages )

Yeah I think that for some reason the merge of the pbtxt raw file is not working.
Any chance you have an end to end example we could debug? (maybe just add a pbtxt for one of the examples?)

Thanks @<1569496075083976704:profile|SweetShells3> ! let me see if I can reproduce the issue

Hi SubstantialElk6
I'm not sure what you are asking 🙂
Basically the clearml-agent will pull a Task from an execution queue, and execute it (based on the definition on the Task, i.e. git repo, python packages docker image etc.)

Hi MinuteCamel2

I can I disable it from automatically uploading model checkpoints to ClearML servers?

Maybe this one can help :)
https://www.youtube.com/watch?v=etGjxOKG9lo

deleted all of the models from my ClearML project but I still receive this message. Do you know why?

It might take it a few hours to update... 😞

Great, thanks!

SolidSealion72 EcstaticGoat95 I'm hoping the issue is now resolved 🤞
can you verify with ?
pip install git+

Hover over the border (I would suggest to use the full screen, i.e. maximize)

Thank you WackyRabbit7 please feel free to remind me if it slips away during my night time (yes I do sleep , contrary to common belief :))

Hmm that is odd. Let me take a look and ask the guys. Thank you for quickly testing the RC! I'm hoping a new RC with a fix will be there tomorrow, if we can quickly replicate

Import Error sounds so out of place it should not be a problem :)

if project_name is None and Task.current_task() is not None: project_name = Task.current_task().get_project_name()This should have fixed it, no?

Hi @<1523701868901961728:profile|ReassuredTiger98> when you get to it...
please download the wheel, then install it with

pip3 install -U clearml_agent-0.17.3rc0-py3-none-any.whl

Then run the daemon with the additional --debug argument, basically:

clearml-agent --debug daemon --foreground ...

Once the agent is running please send the Task's log from your console 🙂

SmarmySeaurchin8 what's the mount command you are using?

with conda ?!

Let me check the API reference
https://clear.ml/docs/latest/docs/references/api/endpoints#post-tasksget_all
So not straight query, but maybe:
https://clear.ml/docs/latest/docs/references/api/endpoints#post-tasksget_all_ex
all section might do the trick.
SuccessfulKoala55 any chance you have an idea on what to pass there ?

Nice!

Sure 🙂
https://clear.ml/docs/latest/docs/references/sdk/task#get_reported_scalars

And when exactly are you getting the "user aborted" message)?
How do you start the process (are you manually running it, or is it an agent, or maybe pycharm?)
Can you provide the full log ?

Hi SmugLizard24

The question is what is the reason of the issue?

That is a good question, could it be out of memory? (trying to compress or send the file in one chunk?)

Interesting, i wasn't aware of this python module for executing accelerate. I'll try to use that.

It's essentially the cmd line:
None
None

Or is this a feature of hyperdatasets and i just mixed them up.

Ohh yes, this is it. Hyper Datasets are part of the UI (i.e. there is a Tab with the HyperDataset query) Dataset Usage is currently listed on the Task. make sense ?

Hmm, I think I need more to try and reproduce, what exactly did you do, what was the expected behavior vs reality ?

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

Hmm, let me see if you can somehow "signal" to the subprocess that it should not use the main process Task. (btw: are you forking or spawning a subprocess?)

Thanks, yes you are correct the color is derived from the series name, so I guess the issue is the name+Id is not kept in full screen

Seems like passing the Task object is not working as expected (I'll make sure it is fixed).
Try:
dataset._task.set_parent(Task.current_task().id)