If this includes scheduling through pipelines, in my opinion there should be an option to execute a pipeline without an agent. Sometimes for development I just want to execute a pipeline on my local machine just as I would a task...

Thanks Alon

the output above is what the agent has as it seems... obviously on my machine I have it installed

Maybe something similar to dockers, that I could name each one of my trains agents and then refer to them by name something like

trains-agent daemon --name agent_1 ...

Then
trains-agent stop/start

I've dealt with this earlier today because I set up 2 agents, one for each GPU on a machine, and after editing configurations I wanted to restart only one of them (because the other was working) and then I noticed I don't know which one to kill

` # Python 3.8.10 (default, Jun 2 2021, 10:49:15) [GCC 9.4.0]
clearml == 1.0.5
hyperopt == 0.2.5
matplotlib == 3.4.3
numpy == 1.21.2
pandas == 1.3.2
plotly == 5.3.0
python_dateutil == 2.8.2
scikit_learn == 0.24.2
statsmodels == 0.12.2
tqdm == 4.62.2

Detailed import analysis

**************************

IMPORT PACKAGE clearml

tasks/data_projection.py: 9

tasks/hp_optimization.py: 6

tasks/hpo_n_best_evaluation.py: 6

tasks/pipelines/monthly_predictions.py: 4

IMPORT PACKAGE hypero...

let me repay you with a nice trick

CostlyOstrich36 ⬆

Sorry I meant this link
https://azuremarketplace.microsoft.com/en-us/marketplace/apps/apps-4-rent.clearml-on-centos8

Yeah I got what I needed

that will require restarting the agent again?

I'll check the version tomorrow, about the current_task call, I tried before and after - same result

this is the full one TimelyPenguin76

Thx DangerousDragonfly8 💪

btw my site packages is false - should it be true? You pasted that but I'm not sure what it should be, in the paste is false but you are asking about true

I set it to true and restarted by agent

the level of configurability in this thing is one of the best I've seen

Thanks 🙂

you can use pgrep -af "trains-agent"

got it

no this is from the task execution that failed

I'm quite confused... The package is not missing, it is in my environment and executing tasks normally ( python my_script.py.... ) works

I was trying out the pipeline controller for the first time and I felt a bit of a burden that just for the sake of trying I had to launch an agent

I never installed trains on this environment

is this already available or only on github?

pgrep -af trains shows that there is nothing running with that name

I jsut think that if I use "report_table" I might as well be able to download it as CSV or something

It's working! 😄

Done

I don't htink I can, this is private IP and to create a dummy example of a pipeline and execution will take me more time than I can dedicate to this

sorry I think it trimmed it