clearml-agent deployment file

What do you mean by that? is that the helm of the agent ?

DeliciousBluewhale87 and is it working?

Hi DeliciousBluewhale87
clearml-agent 0.17.2 was just release with the fix, let me know if it works

JitteryCoyote63 how can I reproduce it? (obviously when I tested it was okay)

I'm guessing the extra index URL can be a URL to the github repo of interest?

The extra index URL is exactly what you would be passing to pip install, meaning it has to comply to pypi artifactory api.
Make sense ?

MagnificentSeaurchin79 no need for the detection api (yes definitely a mess to setup), it will be more helpful to get a toy example.

BTW MagnificentSeaurchin79 just making sure here:

but I don't see the loss plot in scalars

This is only with Detect API ?

you should have something like 192.168... or 10.0 ....

and the inet of the same card ?

Run ifconfig

🤞

correct

LudicrousParrot69
Yes please add to GitHub 🙂 The problem is, if this is on single Task than we loose the ability have the nice interactive abilities (selecting diff scalars / parameters) etc...

LudicrousParrot69 this is implementation issue, this entire page is based on "task comparison" single Task means totally different interface for querying the data 🙂

Well done man!

LudicrousParrot69 we are working on adding nested project which should help with the humongous mass the HPO can create. This is a more generic solution for the nesting issue. (since nesting inside a table is probably not the best UX solution 🙂 )

You can run this code from anywhere. The 'base_task_id' is actually the pipeline controller Task ID.
BTW: Next version will have a nicer interface to query it, but this code will work on the current version

Hi JitteryCoyote63
If you want to stop the Task, click Abort (Reset will not stop the task or restart it, it will just clear the outputs and let you edit the Task itself) I think we witnessed something like that due to DataLoaders multiprocessing issues, and I think the solution was to add 'multiprocessing_context='forkserver' to the DataLoaderhttps://github.com/allegroai/clearml/issues/207#issuecomment-702422291
Could you verify?

Found it, definitely a bug in the callback, it has not effect on the HPO process itself

SlipperyDove40
FYI:
args = task.connect(args, name="Args")Is "kind of" reserved section for argparse. Meaning you can always use it, but argparse will also push/pull things from there. Is there any specific reason for not using a different section name?

SlipperyDove40 following on the missing section name, this seems like backwards compatibility issue. Try calling with backwards_compatibility=False
my_params = Task.get_parameters(backwards_compatibility=False)This should always add the section name prefix.

Thanks ShallowCat10 !
I'll make sure we fix it 🙂

Could you try to clone the clearml git repo, create a new notebook in it and test ?

ThickDove42 Windows also works 😞
Any specifics on the setup?

How can I reproduce it?

Okay Let me check

Sure thing, let me know ... 🙂

thanks!

Notice that the StorageManager has default configuration here:
https://github.com/allegroai/trains/blob/f27aed767cb3aa3ea83d8f273e48460dd79a90df/docs/trains.conf#L76
Then a per bucket credentials list, with detials:
https://github.com/allegroai/trains/blob/f27aed767cb3aa3ea83d8f273e48460dd79a90df/docs/trains.conf#L81

It is way too much to pass on env variable 😞