Did you provide an entry point?
Hi,
I can't seem to reproduce. The steps I try as follows:
Compare 2 experiments
Enough scalar graphs to have a scroll bar
Click on the eye to make some graphs disappear, they disappear but no empty spaces are shown. Can you maybe add a screenshot?
I see, makes sense. I think it's not supported currently. I'd suggest opening a Github issue to add this capability
Hi @<1673501397007470592:profile|RelievedDuck3> , should be possible. What errors are u getting?
CrookedWalrus33 Hi 🙂
I don't see any specific problem that can arise from that as long as it has Docker installed AND has all the system requirements (CPU/RAM)
Try creating a new version and syncing the local folder (or try to specifically add files) 🙂
It looks like it's hanging on the connection to the ClearML server
If you want this to be applied to all jobs that run on that agent then yes. Otherwise you can set it up on the task level as well
Thats strange, you don't have a create new credentials button?
HungryArcticwolf62 , I couldn't find something relevant 😞
AgitatedDove14 , wdyt?
Hi GloriousPenguin2 , can you please elaborate more on the exact scenario and add the full error? Is it coming from the controller?
I'm afraid not, as it would still require a data merge.
Let's separate things. You have the control plane which is the server (API/files/web/mongo/elastic/redis) and then you have the compute fabric (GPU/CPU machines).
Control plane manages things. The compute fabric actually executes the code. Agents manage the compute fabric.
I suggest watching the following two videos:
None
None
The video on pipelines talks about pipelines from tasks, however, t...
Hi @<1523701099620470784:profile|ElegantCoyote26> , what happens if you define the cache size to be -1?
AbruptWorm50 , you can send me. Also can you please answer the following two questions?When were they registered? Were you able to view them before?Also, you mention plots but in the screenshot you show debug samples. Can I assume you're talking about debug samples?
Then it's the community server, that is not an enterprise version. In the PRO version only AWS/GCP autoscalers are available.
Hi @<1556812486840160256:profile|SuccessfulRaven86> , can you please add an example configuration that reproduces this?
GrievingTurkey78 , did you try calling task.set_resource_monitor_iteration_timeout after the task init?
Please do 🙂
However when downloading the log manually it appears all the data is there?
Can you give an example of how you're saving this artifact?
Hi @<1533619725983027200:profile|BattyHedgehong22> , I think it needs to be part of repository
GiganticTurtle0 Hi!
Which versions are you using? Also do you have an snippet example by chance?
Can you add a screenshot of the execution section of the experiment when you add task.set_repo and when you don't (Just add some sample script in the same folder and run task.init and print hello world)?
The docker container in step 3 does not run because of the incompatibility
SarcasticSparrow10 , can you add the printouts regarding this?
Hi @<1570220844972511232:profile|ObnoxiousBluewhale25> , what error are you getting?
It looks like it since as far as I manage to understand a 'traditional' feature store is a model / data repository, correct?