Hi @<1539780284646428672:profile|PoisedElephant79> , please post in the same thread you started, no need to spam the main channel 🙂
Regarding your issue - it looks like you have some issue with authentication. How are you spinning the server?
Hi @<1681111528419364864:profile|SmoothGoldfish52> , it looks like there is a connectivity issue and it's failing to connect to the server. Is there something in between?
Hi @<1558624430622511104:profile|PanickyBee11> , I think this might be a bug. Please open a GitHub issue to follow up on this 🙂
Hi @<1577468638728818688:profile|DelightfulArcticwolf22> , it looks like you're trying to update some parameter of a task after it finished running...
@<1577468638728818688:profile|DelightfulArcticwolf22> , after checking internally with the guys I think you should have received an email from Tina about 9 days ago
Hi @<1560798754280312832:profile|AntsyPenguin90> , the task types are mainly for governance. There is a 'custom' task type. However, task type shouldn't affect your training
What happens during the run is that plotly plots are shown during run on your computer but they don't show in UI and ONLY after the run is finished the plots show up?
Are your runs long?
How did you set it up? Are you sure that's the correct path?
Hi @<1554275802437128192:profile|CumbersomeBee33> , can you elaborate on what you're trying to do?
Just below the filter box there is an option called Fetch/XHR
Any chance you have a toy script to play with?
Also with delete_external_files=False
Well not really
Please elaborate 🙂
Hi ObliviousClams17 , can you provide a code snippet that reproduces this?
Hi JitteryCoyote63 , can I assume you can ssh into the machine directly?
CloudySwallow27 , can you get logs from the machine itself? Are the jobs doing something specific when they fail?
Hi @<1603560525352931328:profile|BeefyOwl35> , The agent uses it's own entry point, so yes you do need to specify it even if it's in the dockerfile 🙂
RobustRat47 , Hi!
Do you mean the task position in the queue?
Hi FierceHamster54 , you have docker_args in https://clear.ml/docs/latest/docs/references/sdk/automation_controller_pipelinecontroller#pipelinedecoratorcomponent
Hi @<1523721697604145152:profile|YummyWhale40> _, what if you specify the output_uri
through the code in Task.init()
?
TimelyPenguin76 , what do you think?
Hi @<1699593312320622592:profile|TeenyOtter72> , I think what you're looking for is the comparison. You can checkbox multiple experiments and then you will have a bar at the bottom with an option to compare. Let me know if this is what you were looking for
Hmmm maybe SuccessfulKoala55 can help 🙂
Hi @<1523701504827985920:profile|SubstantialElk6> , thanks for the heads up 🙂
Hi @<1523701868901961728:profile|ReassuredTiger98> , you can select multiple experiments and compare between the experiments, this way you can see all the scalars at once.
You can also utilize the reports feature to create really cool looking dashboard
None
Hi @<1556450111259676672:profile|PlainSeaurchin97> , I think what you're looking for is the output_uri
parameter in Task.init()
I don't think datasets don't have visualization out of the box, you need to add these previews manually. Only HyperDatasets feature from the Scale & Enterprise versions truely visualizes all the data.
According to your code snippet there isn't any visualization add on top of the dataset
Are you still having these issues? Did you check if it's maybe a connectivity issue?