PompousBeetle71 Check the beginning of the log, it should print the configuration, including the access key (excluding the secret) see if it makes sense...

You mean to design the entire pipeline from YAML?
(this assumes your Tasks know how to process links to artifacts)
Is this what you are after?
(BTW: any reason for working with YAML files instead of coding it?)

And actually the slack thing is actually a good workaround this since people can just comment easily

Any reference for similar integration between Slack and other platforms ?
I'm thinking maybe the easiest way is Slack bot to you can @ task id ?

Thanks!
fyi: This section is not necessary if you you have clearml.conf file in ~/
Task.set_credentials( api_host=" ", web_host=" ", files_host=" ", key='********************', secret='***********************' )Let me check the code for a min

Yes, I was referring to logging the "clearlm-data" Dataset ID on the Task itself, not an external database.
Make sense?

Could I use "register artifact"

I think this is somewhat deprecated and we should probably replace it with something similar to what you mentioned (i.e. watch a file change).
Right now the easiest way would e to manually upload the trainer_state.json every checkpoint:
Task.current_task().upload_artifact('trainer_state.json, name='state') `

Hi RobustGoldfish9 Kudos on the mount, and my apologies for forgetting to mention it.
You are absolutely right, I'll make sure we have it in the documentation, there is no way to know that obscure env variable 🙂

how did you try to restart them ?

Yes, but how did you restart the agent on the remote machine ?

Lol, :)
I think the issue is that you do not need to manually set the initial iteration, it's supposed to get it , as it is stored on the Task itself

Maybe we should add it to Storage Manager? What do you think?

MysteriousBee56 okay look for the folder ~/.trains/vcs_cache you will find the git repo there, just overwrite the content with your local copy

Hi MagnificentPig49 unfortunately it's only in the trains-server docker, we are working on making it "presentable" and uploading it to it's repo.
It's written in Angular (v8 I think). Do you want to help out, it will definitely incentive the guys to tidy up the code and upload it :)

Hey JoyousKoala59 , it seems the helm chart for the clearml server is due to be released tomorrow. My apologies for the confusion :(

doing some extra "services"

what do you mean by "services" ? (from the system perspective any Task that is executed by an agent that is running in "services-mode" is a service, there are no actual limitation on what it can do 🙂 )

terminal

I double checked the code it's always being passed 😞

packages are updated, and I don't know which python version I get, + changing the python version of the OS is not really recommended

Wait I'm confused, this is inside a container, no?

and the python version running my code should not depend of the python version running the clearml-agent (especially for experiments running in containers)

Generally speaking you are correct, but some packages will not have the same version for all python versions

Specifically in this case I think...

Hmm, so currently you can provide help, so users know what they can choose from, but there is no way to limit it.
I know the Enterprise version has something similar that allows users to create a custom "application" from a Task, there you can define a drop and as such, but that might be an overkill here, wdyt?

I'm not sure how the helm is built but do we have a "services queue" on the helm?

Thanks SmallDeer34 !

Would you like us to? How about a footnote/acknowledgement?

How about a reference / footnote ?
@misc{clearml, title = {ClearML - Your entire MLOps stack in one open-source tool}, year = {2019}, note = {Software available from }, url={ }, author = {allegro.ai}, }

Oh, and good job starting your reference with an author that goes early in the alphabetical ordering, lol:

LOL, worst case it would have been C ... 🙂

SuperiorDucks36 , is the domain name "rz-s-git" this does not seem like a valid domain?

EDIT:
Is it a local domain on your network?

Okay, this seems to be the problem

so the docker didnt use the dns of the host?

I'm assuming it is not configured on your DNS, otherwise it would have been resolved...

TightElk12 I think this message belongs to a diff thread ;)

Hi @<1570583227918192640:profile|FloppySwallow46>
Not sure I follow, could you explain ?

Hi @<1524560082761682944:profile|MammothParrot39>
By default you have the last 100 iterations there (not sure why you are only seeing the last 3), but this is configurable:
None

correct. notice you need two gents one for the pipeline (logic) and one for the pipeline components.
that said you can run two agents on the same machine 🙂

Yeah you can ignore those, this is some python GC stuff, seems to be related with the OS and python version

For running the pipeline remotely I want the path to be like /Users/adityachaudhry/.clearml/cache/......

I'm not sure I follow, if you are getting a path with all your folders from get_local_copy , that's exactly what you are looking for, no?