Hi OddShrimp85 , have you run this task remotely? If you are importing your own package, how is it connected to the task?
Hi GrittyCormorant73 , can you please add the error you're getting? What version of ClearML are you using?
Hi @<1623491856241266688:profile|TenseCrab59> , can you elaborate on what do you mean spending this compute on other hprams? I think you could in theory check if a previous artifact file is located then you could also change the parameters & task name from within the code
Hi CluelessFlamingo93 . This is indeed a capability within ClearML.
I think this is what you're looking for:
https://www.youtube.com/watch?v=k5e-E5oEFUw
Hi @<1573119955400921088:profile|CloudyPelican46> , you can certainly do this. You can find all the related api calls here - None
I suggest opening developer tools (F12) and seeing what is sent in the UI to fetch the various metrics you're looking for
Hi @<1654294828365647872:profile|GorgeousShrimp11> , can you provide a log for such a task? What is the status change in the INFO section?
Hi @<1541954607595393024:profile|BattyCrocodile47> , how does ClearML react when you run the scripts this way? The repository is logged as usual?
What happens if you look at elastic container logs directly? I think it's something along the lines sudo docker logs clearml-elastic --follow . Don't catch me on the exact syntax naming tho 😛
Hi @<1582179652133195776:profile|LudicrousPanda17> , I suggest doing a similar filtering in the UI with dev tools open (F12) and see what is sent by the web UI 🙂
What do you mean? How are you running the pipeline - locally or remotely?
Yes. However I don't think you need to backup Redis as it holds only data related to the currently running agents.
Hi @<1797800418953138176:profile|ScrawnyCrocodile51> , you can use Task.add_requirements to add any packages. Additionally, you can also install packages with the docker bash init script
Hi @<1739818374189289472:profile|SourSpider22> , are you using the self deployed server?
Well not really
Please elaborate 🙂
It's supported 🙂
In the task hyper parameters section you have a section called Hydra. In that section there should be a configuration called _allow_omegaconf_edit_ , what is it set to?
Hi @<1533620191232004096:profile|NuttyLobster9> , what version of clearml SDK are you using and is it a self hosted server or not?
Hi @<1649946171692552192:profile|EnchantingDolphin84> , what about this example?
None
Add argparser to change the configuration of the HyperParameterOptimizer class.
What do you think?
You don't load the configuration during from clearml import Task config is loaded during Task.init() So you can make all your configuration additions up to the point Task.init() is run
docker-compose.yml file you used to set up the server
Did you set your password or an access token? Also, please try sticking to a single thread per topic and not multiple messages, it spams the channel
ColorfulRaven45 Hi!
I'm afraid this is kind of a plotly limitation. Currently you can switch to full screen view OR hit the maximize graph button (it shows on over) for a better view.
We'd be happy to take a suggestion though 🙂
You need to use a docker image that already has the cuda package installed. Also don't forget to run the agent in --docker mode 🙂
Did you download the same data directly to the NAS and it took 5 secs?
I think it's the same usage as it were a regular task. Did you encounter any issues?
Hi @<1760474471606521856:profile|UptightMoth89> , what if you just run the pipeline without run locally and then enqueue it (assuming you have no uncommitted changes)