i was trying to copy the content of that file

when i run this one clearml-agent --config-file ~/clearml-iris.conf it output the help info

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

before i renamed it, i can log the experiment successfully, i basically add task.init to the python script then just run that script

i’m not sure if i use the command correctly

Do you think the local agent will be supported someday in the future?

i can only see the init log

seems the not logging problem is back

Guess I’ll need to implement job schedule myself

Here is the screenshot

I think this is not related to pytorch, because it shows the same problem with mp spawn

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 tired to run trains-compose without -d to say the log,
trains-agent-services | trains_agent: ERROR: Connection Error: it seems api_server is misconfigured. Is this the TRAINS API server http://apiserver:8008 ?
trains-agent-services | http://192.5.53.86:8081 http://192.5.53.86:8080 http://apiserver:8008
I didn’t assign anything to TRAINS_HOST_IP, not sure if the apiserver:8008 caused the problem

yes

i’m trying to install it my lab server, but the same problem happen, when i try to create credentials, it say error but this time it give more info:
Error 301 : Invalid user id: id=f46262bde88b4928997351a657901d8b, company=d1bd92a3b039400cbafc60a7a5b1e52b

never done this before, let me do a quick search

but at least it’s working now

Not for now, i think it can only run on multiple GPU at one node

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

it’s shared but only user files, everything under ~/ directory

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

Yeah, i’m done with the test, not i can run as what you said

Yes, when i put the task init into the spawn function, it can run without error, but it seems that each of the child process has their own experiments
ClearML Task: created new task id=54ce0761934c42dbacb02a5c059314da ClearML Task: created new task id=fe66f8ec29a1476c8e6176989a4c67e9 ClearML results page: ClearML results page: `
ClearML Task: overwriting (reusing) task id=de46ccdfb6c047f689db6e50e6fb8291
ClearML Task: created new task id=91f891a272364713a4c3019d0afa058e
ClearML re...

I found server API here https://allegro.ai/clearml/docs/rst/references/clearml_api_ref , but not sure how to use it, for example /debug.ping, should i post request on “ http://localhost:8080/debug/ping ” or “ http://localhost:8080/debug.ping ”?

Thanks, it seems i need to forward all three ports

I’ve been added multi-node support for my code, and i found our lab seems only have shared user file because i installed trains on one node, but it doesn’t appear on the others

yes

is there any document for this?

No sure, here is the code

you mean two agents on two nodes?