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108 × Eureka!we all use conda, guess not need for docker
Then access the 8008 through the tunnel
I think so, let me give it a try, btw, I just found server API 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 ”?
I have two laptop, one is running ubuntu 20.04 and one is macos, both are running in my local network. I installed the server on ubuntu and ssh from mac to it to bring up the server then build up a tunnel using ssh -L
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 experimentsClearML Task: created new task id=54ce0761934c42dbacb02a5c059314da ClearML Task: created new task id=fe66f8ec29a1476c8e6176989a4c67e9 ClearML results page:
ClearML results page:
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ClearML Task: overwriting (reusing) task id=de46ccdfb6c047f689db6e50e6fb8291
ClearML Task: created new task id=91f891a272364713a4c3019d0afa058e
ClearML re...
the method you said before solved my problem. I ask about the API because i think that could be another way to get all experiment list
oh i see, i’m trying it now
but basically i create it by init and rename it
i only want to use clearml agent to change the conf file
i’m setting the environment variable in the python script like thisos.environ['CLEARML_CONFIG_FILE'] = str(Path.home()/f"clearml-{socket.getfqdn()}.conf")
then task.init
i just tried, but is still open result on public server.
I'm checking it out today and see if I can put up something
Can get the result now but failed with this
Thanks, it seems i need to forward all three ports
which client should I import for Client.queues ?
Just tried the code
But it seems buggy
I'm thinking roll out multiple experiments at once
when i run the code i send you the other day, logging is perfect, but at the end of the code there is a semaphore warning, not sure if it’s related
I’ll try it tomorrow and let you know if there is anything wrong