JitteryCoyote63 Hi! Are you running in docker mode?
You can do pip show clearml to see the clearml version
And regarding model deployment you mean serving the model through a serving engine such as triton?
Hi :)
What is kfserving?
You would also need to edit the links somehow that are connected to the task
Hi, How did you deploy?
ElatedChimpanzee91 , hi 🙂
I think you can enlarge the graph to see the entire thing OR maybe try adding \n in the title, maybe that would work
Maybe those are internal ports for the docker since I can see the following for one of the dockers ports section8008/tcp, 8080-8081/tcp, 0.0.0.0:8085->8085/tcp, :::8085->8085/tcp
Hi @<1531807732334596096:profile|ObliviousClams17> , are you self deployed? Can you please provide the full log?
What happens if you clear the commit and just run with latest master?
Hi, can you add a log of the run? Also what version of ClearML Agent are you using
Sounds like some issue with queueing the experiment. Can you provide a log of the pipeline?
ShinyRabbit94 , Hi 🙂
Yes. Please note that the machine you run the agent on needs to have all the resources to run your experiments (gpu etc).
Does it enqueue the task? From what you posted it should simply create a task and then enqueue it without any further action
I think the serving engine ip depends on how you set it up
Did you raise a serving engine?
Try creating a new version and syncing the local folder (or try to specifically add files) 🙂
Is it possible that the credentials are used somewhere as environment variables?
Hi @<1791277437087125504:profile|BrightDog7> , do you have a code snippet that reproduces this? Is it for all plots or only specifics?
EcstaticBaldeagle77 , please lower all the dockers then run the following commands and then try raising them again.
` sudo mkdir -p /opt/clearml/data/elastic
sudo mkdir -p /opt/clearml/data/mongo/db
sudo mkdir -p /opt/clearml/data/mongo/configdb
sudo mkdir -p /opt/clearml/data/redis
sudo mkdir -p /opt/clearml/logs
sudo mkdir -p /opt/clearml/config
sudo mkdir -p /opt/clearml/data/fileserver
sudo chown -R 1000:1000 /opt/clearml `
Also, where did you find the instructions with 'trains' in it?
Can you please run ls -la /opt/clearml and send the output + your docker compose file
Hi, SkinnyPanda43 , from what version did you upgrade to which version?
The "template" task
Hi 🙂
Are you running the HPO example?
Of course :)
You can select tasks in different projects in table view or you can add experiments to an existing compare
You can view all projects and search there 🙂
Hi @<1539417873305309184:profile|DangerousMole43> , if understand correctly, you basically want to have some logic in your pipeline that will launch jobs according to some "trigger"?
And how are you reporting everything?
Can you try going into the docker and verifying you have the same clearml.conf inside?