Hi @<1546303293918023680:profile|MiniatureRobin9> , can you add the full console log?
MuddySquid7 , Yes! Reproduced like a charm. We're looking into it 🙂
Is this something that the ClearML team could add? Would it be helpful to have a call?
FrustratingShrimp3 , I think you can open a github issue to request the new feature
Hi!
What version of ClearML-Agent are you using?
Also from within the docker, what do you get when you run the following commands:which python
which python3
which python3.7
which python3.8
However, when I try to bind a volume and run the code, everything runs perfectly.
Can you please elaborate on what this means?
Hi @<1654294828365647872:profile|GorgeousShrimp11> , can you provide a log for such a task? What is the status change in the INFO section?
Hi @<1742355077231808512:profile|DisturbedLizard6> , you can achieve this using the following env var:
CLEARML_AGENT_FORCE_EXEC_SCRIPT
None
Hi @<1748153283605696512:profile|GreasyPenguin24> , you certainly can. CLEARML_CONFIG_FILE is the environment variable that allows you to use different configuration files
I see, maybe open a GitHub issue for this to follow up
I am not familiar with that. In the SDK you have the StorageManager to help you with downloading files.
None
Hi DrabCockroach54 , in the open source version there are no roles. You can set up users & passwords using this:
https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_config/#web-login-authentication
I am not sure there is a simple way to delete users - I think you would need to edit MongoDB manually, which I would not recommend
Might need to refresh page after opening dev tools 🙂
Should work if you fetch the Task object in the pipeline step itself
BattyDove56 , that was my suspicion as well, that's why I wanted to see the logs 🙂
Hi @<1570220858075516928:profile|SlipperySheep79> , you need to apply the same setting on the machine that is running the agent. clearml.conf
files are local and apply the settings only on the machine they're sitting on. In the Scale/Enterprise licenses there are configuration vaults that take care of this.
GrievingTurkey78 , can you try disabling the cpu/gpu detection?
You don't need to do any special actions. Simply run your script from within a repository and ClearML will detect the repo + commit + uncommitted changees
Hi GrievingDeer61 ,
The packages are automatically detected during the run and used by the worker. You can force the worker to use the requirements file with the following method:
https://clear.ml/docs/latest/docs/references/sdk/task#taskadd_requirements
Tell me if this helps 🙂
Hi @<1620955143929335808:profile|PleasantStork44> , can you please elaborate? You mean the info section of the task? Do you mean programmatically?
Hi @<1570583227918192640:profile|FloppySwallow46> , please don't @ the entire channel for help 🙂
If a task is in pending it means that no agent picked it up yet. Maybe the agent is unavailable or the process crashed. Check in that direction
Can you try going to <HOST>/login
Hi @<1523708340473958400:profile|SweetHippopotamus84> , can you please provide some code snippet that reproduces this?
Can you guide me through how you got the credentials and then attempted to validate?
Not really, you can even point the files_server in clearml.conf
to s3. the files server is there so there would be some basic storage solution attached.
Hi @<1523706700006166528:profile|DizzyHippopotamus13> , you can simply do it in the experiments dashboard in table view. You can rearrange columns, add custom columns according to metrics and hyper parameters. And of course you can sort the columns