Can you add a snippet please?

Can you add the full log & the dependencies detected in original code? How are you building the pipeline?

Hi @<1668427977265778688:profile|BurlyOtter33> , you mean you're deploying the server itself on a mac?

Hi @<1523706826019835904:profile|ThoughtfulGorilla90> , it's not possible since workspaces are connected to the email itself. I would suggest writing some automation to extract the relevant projects/experiments from one workspace and register them into the new workspace. The API would be the best way to go. You would need to extract all information about the experiment itself and then also extract all the logs/scalars/plots and then simply register everything in the new workspace.

[None](h...

Maybe SmugDolphin23 or AppetizingMouse58 might have some insight into this since behavior of Datasets changed in the last year I think

Happy to help 🙂

Note that you will get almost all information about the task using tasks.get_by_id , then you would need a few more calls to extract the console/scalars/plots/debugs

The webUI is using the API to show everything so I would suggest opening developer tools (F12) and seeing what is being sent by the UI when you navigate different sections of the experiments to use as a baseline

Yes, you should be able to

I played a bit with it and got to the value. OutrageousSheep60 , please tell me if this helps you 🙂

` >>> task.set_user_properties(x=5)
True

y=task.get_user_properties()
y
{'x': {'section': 'properties', 'name': 'x', 'value': '5'}}
y["x"]["value"]
'5' `

https://github.com/allegroai/clearml-docs/commit/29b108549deb672ebcb17fc277711012ed657c66
🙂

Only news ones after you use SDK 1.6.0 🙂

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

DepressedChimpanzee34 which section are you referring to, can you provide a screenshot of what you mean?

DepressedChimpanzee34 I see what you mean! Let me check regarding that 🙂

Hi NarrowLion8 , this is usually saved in the 'INFO' section of the experiment. 'Status Reason' is the field you're looking for I think

LethalCentipede31 , it appears we had an internal issue with a load balancer, it was fixed a couple of minutes after your comment 🙂

LethalCentipede31 , Hi 🙂

What did you run?
Also, how did you configure your credentials?

AdventurousButterfly15 , please upgrade to the latest agent version to see if this continues

Hi @<1546303277010784256:profile|LivelyBadger26> I'm afraid that in the free version everyone is an admin. In the scale & Enterprise licenses you have full role based access controls on all elements in the system (from experiments to which workers can be provisioned to whom)

Hi @<1523701949617147904:profile|PricklyRaven28> , what code are you talking about, of the Slack alerts? You can also use standalone scripts if you don't want to run from a repo. Also, I don't think you should be running the agent in services mode yourself as it is a part of the ClearML setup.

Hi @<1702492411105644544:profile|YummyGrasshopper29> , it looks like the controller is running, but is there any agent listening to where the tasks are being pushed?

Hi SuperiorCockroach75 , please look here:
https://clear.ml/docs/latest/docs/references/sdk/dataset#datasetget
To solve the issue simply specify the alias.

This is how I usually add visualization

#Report data preview
ds.get_logger().report_table(title="Data Sample", series="First Ten Rows", table_plot=data1[:10])
ds.upload()
ds.finalize()

Do you have an example to play with?

Hi @<1797438038670839808:profile|PanickyDolphin50> , can you please elaborate? What is this accelerate functionality?

Hi @<1523701240951738368:profile|RoundMosquito25> , when a different user runs something with their own generated credentials from the UI will show as different user. Does that clear things up?

You can specify any extra requirements in the steps themselves

Hi @<1535793988726951936:profile|YummyElephant76> , did you use Task.add_requirements ?
None

Thanks for the info! This happened when you had 2 spot instances running something, correct?

BoredPigeon26 , Please try the following setting in your ~/clearml.conf
sdk.metrics.tensorboard_single_series_per_graph: true and see if it helps 🙂