i’m setting the environment variable in the python script like this
os.environ['CLEARML_CONFIG_FILE'] = str(Path.home()/f"clearml-{socket.getfqdn()}.conf")then task.init

but at least it’s working now

working very well actually

for example i have this experiments of 99 tasks, i’d like to pull all scaler data. How can i achieve this? Thank you!

Can you tell me how can i find out where the scalar log is?

Thanks, i’ll give it a try

unfortunately, no, when i try to click the link, there is nothing there https://demoapp.demo.clear.ml/projects/0d49bffcdaa441c2aa3224054737d0bd/experiments/26dd46ec11fd4f95ba522955820a8444/output/log

Thanks, it seems i need to forward all three ports

Thank you! another question this method seems need to get the result one by one on the fly. Because i have lots of complete experiments, is there a way that i can pull all scalars at once? Or, can i get experiments list and pull the data?

yes

check on the iteration on the right side,
i tried to start the experiment few times, and sometimes, 1 or 2 of the experiment seems just won’t start

No sure, here is the code

You can use this to reproduce

yes

Ok, i’ll try to do that asap

So is there any tutorial on this topic

but basically i create it by init and rename it

then i run the second one, it basically outputs the same as just init

one quick question is that do i need to do some task.close() at the end of each process?

btw, i’m running the code with multiprocessing, so the log is duplicated 3 times

I’ll get back to you after i get this done

yeah sure

so basically, the spawn will run a function in several separate processes, so i followed the link you gave above and put task.init into that function.
i guess in this way, there will be multiple task.init running.

I tried from clearml.backend_api.session import client no luck

But it seems buggy

On sec

I can comment it on the github issue

I’ll try it tomorrow and let you know if there is anything wrong

Oh this is one line missing on the above code