Thank you for the answer ! So, should I run this command twice, but with different names?
Oh, thank you very much! ♥ So, should we always have two queries for the pipeline and tasks?
P.S. I try to run the pipeline as pipe.start() without arguments (by default it should run on services queue as I understand right), then the clearm runs the pipeline, and in the terminal I see that it starts docker container… but nothing happens after I see: «you should upgrade pip»… so I abort this execution after an hour… may be you could advice a way to run services queue or some toy-exam...
And if I will want to stop these queues, how should I do this ?
Can we run a services queue for a pipeline and a default queue for tasks on the same machine?
Wow! Ok! I’ll try this ♥ 🫶 thank you very much for your advices!
Thank you, @<1523701070390366208:profile|CostlyOstrich36> ! I’ve gone through the documentation on output_uri and noticed that it defaults to None in my code. When I use ClearML with the website app.clearml and my notebook as an agent (the pipeline is started with pipe.start(queue='default') ), all logs appear in the UI console, but not in my terminal. Does this mean it’s impossible to store the model in this setup?
In the UI, I see:
"Snapshot stored. Created by task ID: 72420a1e...
@<1778231480447668224:profile|FrustratingGoldfish63> thank you VERY much!!! It works ♥ 🫶 🔥