The weirdest thing, is that the execution is "completed" but it actually failed

⬆ CostlyOstrich36

I'm asking that because the DSes we have are working on multiple projects, and they have only one trains.conf file, I wouldn't want them to edit it each time they switch project

UptightCoyote42 - How are these images avaialble to all agents? Do you host them on Docker hub?

Okay, so the agent automatically inherits the launching environment's variables?

I set it to true, I have more packages installed now, but it still fails.. here is the log TimelyPenguin76

` Successfully installed clearml-1.0.5 cloudpickle-1.6.0 cycler-0.10.0 hyperopt-0.2.5 kiwisolver-1.3.2 matplotlib-3.4.3 networkx-2.6.2 pandas-1.3.2 patsy-0.5.1 plotly-5.3.0 python-dateutil-2.8.2 statsmodels-0.12.2 tenacity-8.0.1 tqdm-4.62.2
Adding venv into cache: /home/elior/.clearml/venvs-builds/3.8
Running task id [24a54a473c234b00a126ec805d74046f]:
[.]$ /home/elior/.clearml/venvs...

🤞

iwhat if

That's awesome, but my problem right now is that I have my own cronjob deleting the contents of /tmp each interval, and it deletes the cfg files... So I understand I must skip deleting them from now on

So how do I solve the problem? Should I just relaunch the agents? Because they can't execute jobs now

after you create the pipeline object itself , can you get Task.current_task() ?

AgitatedDove14 no I can't... Just checked this. This is a huge problem for us, it used to work before and it just stopped working and I can't figure out why.

It's a problem for us because we made it a methodology of running some tasks under a pipeline task and saving summary iunfo to the pipeline task - but now since Task.current_task() doesn't work on the pipeline object we have a serious problem

Cool - what kind of objects are returned by .artifacts. getitem ? I want to check their docs

🤞

Continuing on this discussion... What is the relationship between configuring files_server and all the rest we just talked about and the the default_output_uri ?

That was the issue then

that will require restarting the agent again?

In my use case I'm using an agent on the same mahcine I'm developing, so pointing this env var to the same venv I'm using for development, will skip the venv creation process from teh task requirements?

I couldn't do it with clearml task as it was looking for a requirements file and I'm workgin with poetry

even if it is so

Yep what 😄

Yes very much

Okay, I'll try that

This error just keeps coming back... I already made the watermarks like 0.5gb

I know tasks have a name and an ID - but projects?

On it

I'll check if this works tomorrow

Example code? I didn't see anywhere an example of filtering using project name

I guess not many tensorflowers running agents around here if this wasn't brought up already

Here you go

But I'm naive enough to believe that 10.2 is compatible with 10.1 as it is a minor upgrade