Might make life easier 🙂
I'm afraid this is not currently supported 😞
Hi @<1826791494376230912:profile|CornyLobster42> , can you add logs from the VMs themselves? They should be saved on the Autoscaler
Hi @<1695969549783928832:profile|ObedientTurkey46> , do you have a code snippet that reproduces this behaviour?
Oh, you want the same machine to execute the two tasks/steps?
@<1523701553372860416:profile|DrabOwl94> , I would suggest restarting the elastic container. If that doesn't help, check the ES folder permissions - maybe something changed
You added two logs, one with docker the other without. Each stopped on a different step. Is that consistent? What OS is the agent running on? Also what is the command you're using to run the agent?
Huh, what an interesting issue! I think you should open a github issue for this to be followed up on.
If you remove the tags the page resizes back?
Hi, SuperiorPanda77 , this looks neat!
I could take a look on a windows machine if it helps 🙂
Hi SubstantialElk6 , can you elaborate a bit?
Hi AlertCamel57 ,
Exporting/Importing data between ClearML servers is not supported in the open source version from what I understand.
You can however migrate the entire database very easily by moving /opt/clearml/data
(If I'm not mistaken this is where it sits) to another location. Make sure that the server is down while doing so, to avoid corruptions
@<1792727007507779584:profile|HollowKangaroo53> , is it a self hosted server?
@<1835488760913989632:profile|TrickyPelican28> , workspaces/tenants as a feature is also available on premise and as a VPC. This is a layer above just regular RBAC.
What is your use case and what are you looking for?
Hi @<1590514584836378624:profile|AmiableSeaturtle81> , can you provide a snippet that reproduces this and also the flow of how you registered the data?
ScrawnyLion96 , Hey 🙂
Can you provide a screenshot?
Hi @<1618418423996354560:profile|JealousMole49> , I think you would need to pull all related to data via the API and then register it again through the API.
Hi FlutteringWorm14 , what happens if you try to delete those tasks manually?
Hi @<1535069219354316800:profile|PerplexedRaccoon19> can you please elaborate on the issue?
Hi, I think this is what you're looking for - None
I'd suggest using the agent in --docker mode
I think it is one of the parameters of the task. Fetch a Task and see what properties the artifact has 🙂
What version of the server are you running? What version of the SDK also?
Hi @<1523701504827985920:profile|SubstantialElk6> , I think you have models.get_by_id
for example to fetch a model object. Inside that object you can find the uri where the model is saved
Hi @<1760474471606521856:profile|UptightMoth89> , what if you just run the pipeline without run locally and then enqueue it (assuming you have no uncommitted changes)
@<1570220858075516928:profile|SlipperySheep79> , you can use top
or htop
to see running processes on your machine...
Hi @<1576381444509405184:profile|ManiacalLizard2> , I think this is what you're looking for -
auto_connect_frameworks
You can disable the auto logging of models this way
You can use the API to call tasks.get_by_id
and get that specific information. In the response it sits indata.tasks.0.completed
Can you please clarify? What does torch.nn.Module
hold within? Isn't it just the weights configuration?
VexedCat68 , it looks like it is being saved locally. Are you running all from the same machine?
Hi @<1710827340621156352:profile|HungryFrog27> , can you provide a full log of the task?