My bad, please use debug.ping
instead of debug/ping
Hi SubstantialElk6 , maybe SuccessfulKoala55 might have more input on this 🙂
Hi @<1535069219354316800:profile|PerplexedRaccoon19> , not sure what you mean. Can you please share the full log, a screenshot of the two experiments and some snippet that re-creates this for you?
DepressedChimpanzee34 , and you're having problems at step 4 when you're trying to to override the connected configurations. Am I understanding you correctly?
DepressedChimpanzee34 , how are you trying to get the remote config values? Also, what which configurations are we talking about specifically?
DepressedChimpanzee34 , Damn that's a shame. Then it means that to use the endpoint you'll need to implement some network communication in python (something like curl through python)
I found another one that might help:client.session.get_clients()
This will return the clearm and server versions. This should be validation enough if server is up or not.
However I'd suggest implementing some sort of ability to send POST api calls via your script.
Hi @<1623491856241266688:profile|TenseCrab59> , you can go into settings (profile icon on the top right of the UI) -> Configuration - Enable 'Show Hidden Projects'
Hi @<1590514584836378624:profile|AmiableSeaturtle81> , I don't think there are any login credentials for mongodb by default in the OS
Hi @<1736919317200506880:profile|NastyStarfish19> , can you provide an example script that reproduces this behaviour? Also full log of the execution would be useful 🙂
You can do this quite easily with some code and the API 🙂
I think as long as they have different hashes you will have two different files
Hi @<1590514584836378624:profile|AmiableSeaturtle81> , the reason for this is because each file is hashed and this is how the feature compares between versions. If you're looking to keep track of specific links then the HyperDatasets might be what you're looking for - None
SoreDragonfly16 You can disable this with the following argument in task.init() - auto_connect_frameworks=False for example:task = Task.init(..., auto_connect_frameworks={'pytorch': False})
You can refer to this documentation for further reading at this https://clear.ml/docs/latest/docs/references/sdk/task#taskinit 🙂
Hi OddShrimp85 , you mean the dataset object itself?
UnevenDolphin73 , sorry for the delay 🙂
Please go to the profile page, hit F12 and do CTRL+F5
In 'Network' there should be a call to ' http://server.info '. Can you please copy paste the response here?
Hmmm I would guess something would be possible but I'm not sure how to go about it. Maybe @<1523701087100473344:profile|SuccessfulKoala55> or @<1523701994743664640:profile|AppetizingMouse58> can give some more input.
Hi BoredHedgehog47 , You need to addfrom clearml import Task task = Task.init(project_name='examples', task_name='hello world')
to your code and run it once after you've ran clearml-init
Hi @<1523701083040387072:profile|UnevenDolphin73> , all the scalars plots etc are saved on Elastic
Yep, exactly 🙂
Maybe SuccessfulKoala55 might have more insight on setting K8s integration 🙂
If you run inside a repository, then yes
UnevenDolphin73 , can you please provide a screenshot of the window, message and the URL in sight?
Did you try what I added? Also the screenshot is too small, nothing is readable
Also how are you uploading? Because if you don't zip the folder and upload withtask.upload_artifact('local folder', artifact_object=os.path('<PATH_TO_FOLDER>'))
This should work
Strange, I'm not familiar with tensorboard_logger
package. I see it's latest package on pypi is also 0.1.0 with latest supported python 3.5.
Scalers are usually reported and auto captured through SummaryWriter if I'm not mistaken. I found an example here:
https://github.com/allegroai/clearml/blob/master/examples/frameworks/pytorch/pytorch_tensorboard.py
Anyhow I'll take a look into it 🙂
Hmmmm you can automate the cleanup. Iterate through folders, if such an experiment exists, skip, if no experiment exists, delete folder
What do you mean? You can report as many artifacts as you want
Hi DilapidatedDucks58 , what is your server version?
Hi @<1590514584836378624:profile|AmiableSeaturtle81> , you need add the agent command that you run into the bootup of your system
Hi @<1590514584836378624:profile|AmiableSeaturtle81> , you can just leave the packages as any other package and add the --extra-index-url in clearml.conf
of the agent