Hi EnchantingWorm39
Great question!
Regrading the data management, I know the enterprise edition has full support for unstructured data, and we plan to soon have a solution for structured data as part of the open source (soon= hopefully in a month time)
Regrading model serving, I know you can integrate with TFServing or seldon with very little effort (usually the challenge is creating triggers etc, but but in most cases this is custom code anyhow 🙂 )
I do not have experience with Cortex/B...

Thanks @<1523704157695905792:profile|VivaciousBadger56> ! great work on the docstring, I also really like the extended example. Let me make sure someone merges it

Let me check ...

It might be the file upload was broken?

instead of the one that I want or the one of the env which it is started from.

The default is the python that is used to run the agent.
agent.ignore_requested_python_version = true agent.python_binary = /my/selected/python3.8

Hi JumpyDragonfly13

1. is "10.19.20.15" accessible from your machine (i.e. can you ping to it)?
2. Can you manually SSH to 10.19.20.15 on port 10022 ?

I see if this is the case, use this example:
None
It should cover the entire thing, no?
None

• Maybe we should add an option, archive components as well ...

task = Task.get_task(project_name='project', task_name='best_model_ever')

first try the current setup using 

pip

, and if it fails, use 

poetry

 if 

poetry.lock

 exists

I guess the order here is not clear to me (the agent does the opposite), why would you start with pip if you are using poetry ?

Won’t they be printed out as well in the Web UI?

They would in the log, but it will not be stored back on the Task (the idea is these are "agent specific" additions no need for them to go with the Task)

So I’ve tried the approach and it does work,

ScantChimpanzee51 What do you mean it does not work? what exatcly are you trying with task.connect and does not work?

Is there a way to inject environment variables into a Task or into its container?

Yes you can with:
` task.s...

Sure. JitteryCoyote63 so what was the problem? can we fix something?

so you have a repo with poetry that some users update and some do not?
All working on the same branch ?

If I add the bucket to that ....

Oh no .... you should also set SSL off for the connection, but I think this is only in the clearml.conf:
https://github.com/allegroai/clearml/blob/fd2d6c6f5d46cad3e406e88eeb4d805455b5b3d8/docs/clearml.conf#L101

I ran the test, but there was no result.

what do you mean by no result, no data after the new query?

Hmm let me test the call itself.

DepressedChimpanzee34 what would be easier curl or python ?

Correct

They all want to be ubuntu:gpu0. Any idea how I can randomize it? Setting the CLEARML_WORKER_ID env var somehow does not work

You should not have this entry in the conf file, the "worker_id" should be unique (and is based on the "worker_name" as a prefix. You can control it via env variales:
CLEARML_WORKER_ID

Regrading resetting it via code, if you need I can write a few lines for you to do that , although that might be a bit hacky.
Maybe we should just add a flag saying, use requirements.txt ?
What do you think?

Hi @<1523701260895653888:profile|QuaintJellyfish58>
You mean some "daemon service" aborting Tasks that do not end after X hours? or is it based on CPU/GPU utilization?

None
Change to:

CLEARML_AGENT_GIT_USER: ${CLEARML_AGENT_GIT_USER:my_git_user_here}

and the same for the password.
You can also just set the environment variables before launching docker-compose, whatever is more convenient for you

Edit the cloned version and enqueue it?

@<1523710674990010368:profile|GreasyPenguin14> If I understand correctly you can use tokens as user/pass (it's basically the same interface from the git client perspective, meaning from ClearML

git_user = gitlab-ci-token
git_pass = <the_actual_toke>

WDYT?

So far, i modified the code to set DOCKER_ROOT_CONF_FILE to what i want !!!
Interesting, do you think a PR is a good next step ? how one would configure it?

These instructions should create the exact chart:
None
What am I missing ?

BTW is it cheaper than ec2 instance? Why not use the aws autoscaler ?

Hi @<1673501397007470592:profile|RelievedDuck3>

how can I configure my alerts to be notified when the distribution of my metrics (variables) changes on my heatmaps?

This can be done inside grafana, here is a simple example:
None
Specifically you need to create a new metric that is the distance of current distribution (i.e. heatmap) from the previous window), then on the distance metric, ...

well at this point I'm not sure it is still essential, we have 3 run-modes offline, local-server, cloud-sever and this option made it work for all of them.. can be that it is not required anymore and its just legacy..

LOL, sure if you have so many setups, that makes sense 🙂

this is strange.. you ran it with the dataclass config I added?

Yes but I had to remove the:
from config_files import cfgand instead used:
` @hydra.main(config_path="config_files", config_name="confi...

Hi HealthyStarfish45

2. is there an advantage in using tensorboard over your reporting?

Not unless your code already uses TB or has some built in TB loggers.

html reporting looks powerfull, can one inject some javascript inside?

As long as the JS is self contained in the html script, anything goes :)