You mean one machine with multiple clearml-agents ?
(worker is a unique ID of an agent, so you cannot have two agents with the exact same worker name)
Or do you mean two agents pulling from the same queue ? (that is supported)

Thanks GiganticTurtle0
So the bug is "mock_step" is storing "NUMBER_2" argument value in the second instance?

HandsomeCrow5 Seems like the right place would be in the artifacts, as a summary of the experiment (as opposed to on going reporting), is that the case?
If it is then in the Artifacts tab clicking on the artifact should open another tab with your summary, which sounds like what you were looking for (with the exception of the preview thumbnail 🙂

According to you the VPN shouldn't be a problem right?

Correct as long as all parties are on the same VPN it should work, all the connections are always http so basically trivial communication

Correct 🙂

GCP is being released to the SaaS and then should work its way to the open-source
Azure is till being worked on (only in beta at the moment)

Yep, this is a limitation of the "low tier" G instances... I guess they want you to switch to the P instances?
Which G are you using ?

What's the clearml-server version ?

is number of calls performed, not what those calls were.

oh, yes this is just a measure of how many API calls are sent.
It does not really matter which ones

🙂

😞

Thanks GreasyPenguin66
How about:
!curlBTW, no need to rebuild the docker, next time you can always do !apt update && apt install -y <package here> 🙂

👍

You can check the example here, just make sure you add the callback and you are good to go 🙂
https://github.com/allegroai/trains/blob/master/examples/frameworks/keras/keras_tensorboard.py#L107

This is because we have a pub-sub architecture that we already use, it can handle retries, etc. also we will likely want multiple systems to react to notifications in the pub sub system. We already have a lot of setup for this.

How would you integrate with your current system? you have a restapi or similar to trigger event ?

but I was hoping ClearML had a straightforward way to somehow represent ALL ClearML events as JSON so we could land them in our system.

Not sure I'm followi...

It is available of course, but I think you have to have clearmls-server 1.9+
Which version are you running ?

So if I am not using remote machine can I disable this?

yes I think you can, add to your clearml.conf
sdk.development.store_jupyter_notebook_artifact = falseBTW: why would you turn it off ?

I'm thinking of a few plots in my current in-house tooling which are slightly different than the standard charts we look at. For example a custom parallel coordinate chart that can use aggregations, categorical variables, etc.

This can be done by comparing experiments, then check the Hyper-Parameters tab, and select graph from the drop down at the top

So my question in general is pertaining to if I would need to get better at Javascript if I were to make those changes. My guess is ...

print(os.environ)

SuperiorDucks36 you mean to manually set an experiment (and the dummy Task is just a way to have an entry to configure), do I understand you correctly ?
Following on that, we are thinking of doing it all for you with a CLI , that will basically create a task from a code/repo you already have on your machine. What do you think?

Hi UnevenDolphin73
You mean this part?
https://github.com/allegroai/clearml-agent/blob/5afb604e3d53d3f09dd6de81fe0a494dacb2e94d/docs/clearml.conf#L212

(In other words, the 

the Task's Environment section

 is a bit unclear)

Yes we should expand, but generally you are correct it should work as you described 🙂

So the TB issue was reported images were not logged.
We are now talking about the caching, which is actually a UI thing which clearml-server version are you using ?
And where are the images stored (the default files server or is it S3/GS etc.) ?

Anyone wants to open a github issue, so we actually end up implementing it 😉 ?

BTW: latest PyCharm plugin with 2022 support was just released:
https://github.com/allegroai/clearml-pycharm-plugin/releases/tag/1.1.0

Could you please add it, I really do not want to miss it 🙂

Let me verify something in the code,

So it makes sense it installs v8.0.1
(maybe originally you provided no version and it installed the latest one)
This is basically pip's doing the package version resolving

RoughTiger69 how did you end up with a Task with just "origin" in the repo field ?

Yes, though the main caveat is the data is not really immutable 😞

Can you also make sure you did not check "Disable local nachine git detection" in the clearml PyCharm plugin?