@<1722786138415960064:profile|BitterPuppy92> , we are more than happy to accept pull requests into our free open source 🙂
SkinnyPanda43 , did Gabriel's tip help?
Hi @<1665891238055776256:profile|AppetizingKoala83> , can you please add a full log of the run?
Hi @<1654294828365647872:profile|GorgeousShrimp11> , are you running in docker mode?
Hi CrookedMonkey33 , can you elaborate a bit more on what you want done?
You can do pip show clearml
to see the clearml version
Hi @<1523701842515595264:profile|PleasantOwl46> , what do you mean more details about the state? Usually in the INFO section of the task you have all history of actions
Hi @<1587615463670550528:profile|DepravedDolphin12> , can you please provide a link to the doc you read?
Hi FlutteringBadger86 ,
Are you referring to app.clear.ml?
Can you see if you manage to load it with your phone?
AgitatedDove41 , this is the old documentation indeed. It's deprecated and shouldn't be used 🙂
New documentation has everything in it, and more!
Hi @<1644147961996775424:profile|HurtStarfish47> , published is one step after finalized technically, similar to tasks
Hi @<1790190274475986944:profile|UpsetPanda50> , everything you can do manually in the webUI you can automate using an API. The webUI itself uses the API so you can always open developer tools (F12) and see what the UI sends to the backend. Then you can simply replicate it in code 🙂
Although I think a problem would be syncing the databases on different servers
It should. Can you provide both the task and machine logs?
PanickyMoth78 , let me check on that 🙂
Hi AbruptWorm50 ,
The cached files are used by ClearML - Here is an example:
https://github.com/allegroai/clearml-agent/blob/master/docs/clearml.conf#L120
Regarding the first question - What is the lock from the 24th of April. It seems that this process is what is blocking cache usage
Hi @<1792726992181792768:profile|CloudyWalrus66> , from a short read on the docs it seems simply as a way to spin up many machines with many different configurations with very few actions.
The autoscaler spins up and down regular ec2 instances and spot instances automatically by predetermined templates. Basically making the fleet 'feature' redundant.
Or am I missing something?
Please rerun again and provide a log that does show the git_pass
CheerfulGorilla72 , can you please provide to me how your ~/clearml.conf
has the following settings configured?
api.web_server
api.api_server
api.files_server
Hi @<1726047624538099712:profile|WorriedSwan6> , versioning is as incremental as you make it be when creating new child versions.
What do you mean by restoring old versions? The versioning assumes you will not be deleting parent versions.
Hi, can you give the error that is printed out?
Then you can define the git credentials that can clone these repositories
From the looks of this example this should be connected automatically actually
https://github.com/allegroai/clearml/blob/master/examples/frameworks/hydra/hydra_example.py
@<1715538373919117312:profile|FoolishToad2> , I think you're missing something. ClearML backend only holds references (links) to artifacts. Actual interaction with storage is done directly via the SDK, aka on the machine running the code
Hi @<1845635622748819456:profile|PetiteBat98> , metrics/scalars/console logs are not stored on the files server. They are all stored in Elastic/Mongo. Files server is not required to use. default_output_uri will point all artifacts to your Azure blob
Hi @<1547028074090991616:profile|ShaggySwan64> , how are you currently saving models? What framework are you using? Usually the output models are listed in the 'artifacts' section of a task and on the model side, there is the 'lineage' tab to see which task created the model and what other tasks are using it as input.
Hi @<1853608151669018624:profile|ColossalSquid53> , if there is no connectivity to the clearml server, your python script will run regardless. clearml
will cache all logs/events and then flush them once connectivity to the server is resumed.