Hi SmugDolphin23
Do you have a timeline for fixing this https://clearml.slack.com/archives/CTK20V944/p1661260956007059?thread_ts=1661256295.774349&cid=CTK20V944

upgrading to 1.12.1 didn't help
I think the issue is that when I create the dataset - i used

use_current_task=True,

If I change it to

use_current_task=False,

then it finalizes

Hi AnxiousSeal95 ,
Is there an estimate when the above feature will be available?

Well it seems that we have similar https://github.com/allegroai/clearml-agent/issues/86
currently we are just creating a new worker and on a separate queue

CostlyOstrich36 - but we will use any method that will allow us to save the files as parquet.
We are not yet using clearml Dataset - i'm not sure if this is a solution

AgitatedDove14 -
I also tried to https://github.com/allegroai/clearml-session
running the session within docker but got the same error

clearml-session --docker

--git-credentials

(there is a typo in git - --git-credent ila s -> --git-credent ials)
and still got the same error

clearml_agent: ERROR: Can not run task without repository or literal script in script.diff

TimelyPenguin76 - do you have any suggestions?

i've doubled checked the Path- and it is correct

How do you do so?
can't find it under
clearml-agent daemon -h

Hi SweetBadger76 -
I'm I misunderstanding how this tests worker runs?

Thx - it worked!
BTW - maybe it worth while to add this comment in the ClearML Agent daemon documentation - that when ever you update the clearml.conf you need to
clearml-agent daemon --stop recreate all the daemonclearml-agent daemon ....

I'm checking the possibility of our firewall between the clearml-agent machine and the local computer running the session

Hi AgitatedDove14
OK - the issue was the firewall rules that we had.

Now both of the jupyter lab and vscode servers are up.

But now there is an issue with the Setting up connection to remote session

After the

Environment setup completed successfully
Starting Task Execution:
ClearML results page:

https://app-clearml.XXXX/projects/XXXXXXXXXX/output/log

There is a WARNING

clearml - WARNING - Could not retrieve remote configuration named 'SSH'...

using the helm charts https://github.com/allegroai/clearml-helm-charts

Feeling that we are nearly there ....
One more question -
Is there a way to configure Clearml to store all  the  artifacts    and the  Plots   etc. in a bucket instead of manually uploading/downloading the artifacts from within the client's code?
Specifying the output_uri in Task.init saves the the checkpoints, what about the rest of the outputs?
https://clear.ml/docs/latest/docs/faq#git-and-storage

CostlyOstrich36 do you need any additional information?

here is a video of the steps

ClearML key/secret provided to the agent

When is this provided? Is this during the build ?

CLEARML-AGENT version 1.2.2

Hi HugeArcticwolf77
I'v run the following code - which uploads the files with compression, although compression=None

ds.upload(show_progress=True, verbose=True, output_url='

', compression=None)
ds.finalize(verbose=True, auto_upload=True)

Any idea way?

In order to create a webdataset we need to create tar files -
so we need to unzip and then recreate the tar file.
Additionally when the files are in GCS in the raw format you can easily review them with the preview (e.g. a wav file can be directly listened within the GCP console - web browser).
I think the main difference is that I can see a value of having access to the raw format within the cloud vendor and not only have it as an archive

Distributor ID: Ubuntu
Description: Ubuntu 20.04.4 LTS
Release: 20.04
Codename: focal

opened an https://github.com/allegroai/clearml/issues/668

google.storage { credentials = [ { bucket: "clearml-storage" project: "my-project" credentials_json: "/path/to/creds.json" }, ] }No - just emulating - it is more of /home/... /creds.json

But this is not on the pods, isn't it? We're talking about the python code running from COLAB or locally...?

correct - but where is the clearml.conf file?

Strange
I ran
clearml-agent daemon --stopand after 10 min I ran
clearml-agent listand I still see a worker

Looking in the repo I was not able to see an example - only reference to https://github.com/allegroai/clearml/blob/b9b0a506f35a414f6a9c2da7748f3ec3445b7d2d/docs/clearml.conf#L13 - I just need to add company.id or user.id in the credential dict?

Btw -after updating clearml.conf do I need to restart the agent?
I can't see the additional tab under https://clearml.slack.com/archives/CTK20V944/p1658199530781499?thread_ts=1658166689.168039&cid=CTK20V944 , and I reran the task and got the same error

@<1523701205467926528:profile|AgitatedDove14> -
I'm getting the following error when running the following code within the mp_worker

command = ["ffmpeg","-i",f"{url}","-vcodec","libx264", "output.mp4"]
subprocess.run(command, stderr=subprocess.STDOUT)

TypeError: fork_exec() takes exactly 21 arguments (17 given)

Any suggestions?

not sure I understand
running
clearml-agent listI get
`
workers:

• company:
  id: d1bd92...1e52b
  name: clearml
  id: clearml-server-...wdh:0
  ip: x.x.x.x
  ... `