You are getting a string - '5'
I want to get an int - 5

exactly - (that is how I used it in my initial code) - but if you have to convert it back to the original data type then something is broken...

Thx for investigating - What is the use case for such behavior ?
How would you use the user properties as part of an experiment?

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

from the example -
since the `mp_hander`` runs

cmd = [sys.executable, sys.argv[0],
               '--counter', str(counter - 1),
               '--num_workers', str(args.num_workers),
               '--use-subprocess' if args.subprocess else '--no-subprocess']
p = subprocess.Popen(cmd, cwd=os.getcwd())

can I run another subprocess in the mp_worker ?

@<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?

here is the https://github.com/allegroai/clearml-blogs/tree/e2f563bd24c2201f995bae56f253059ea223f5b6/urbansounds8k

Is there any settings that we need to take into account when working with session ?
in the https://clear.ml/docs/latest/docs/apps/clearml_session#accessing-a-git-repository it mentions accessing Git Repository -
Can you run clearml sessions without accessing Git? Assuming we are using ssh - what is the correct configuration?

here is the https://clearml.slack.com/archives/CTK20V944/p1657219266857559

SmugDolphin23 Where can I check the lates RC? I was not able to find it in the clearml github repo

SmugDolphin23 I'll be happy to checkout the RC once it is fixed

THx SmugDolphin23 - looks OK

Are you running the "cleamrl-session" from your machine? (i.e. not from inside a docker) ?

correct - running it locally - not inside docker . Should I try to run within a docker?

Can you send the full clearml-session console output ?

see above

I found the task in the UI -
and in the UNCOMMITTED CHANGES execution section there is

No changes logged

Any other suggestions?

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'...

Hi SuccessfulKoala55
I've run the daemon via docker
CLEARML_WORKER_ID=XXXX clearml-agent daemon --queue MY_QUEUE --docker --detached and then run the session via docker
clearml-session --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 \ --packages "clearml" "tensorflow>=2.2" "keras" \ --queue MY_QUEUE \ --verboseHowever I'm still getting the same error

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

BTW - is the CLEARML_HOST_IP relevant for the clearml-agent ?
i can see that we can create a worker with this environment variable . e.g.
CLEARML_WORKER_NAME=MY-WORKDER CLEARML_WORKER_ID=MY-WORKER:0 CLEARML_HOST_IP=X.X.X.X clearml-agent daemon --detachedmy mistake doesn't use it to create a dedicated IP

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

AgitatedDove14 - here is the full log

Using the https://allegro.ai/clearml/docs/rst/references/clearml_python_ref/task_module/task_task.html?highlight=upload_artifact#clearml.task.Task.upload_artifact method. It works well, but only saves it as a csv (which is very problematic since when loading the artifact none of the data types of the columns are preserved...)

Thx CostlyOstrich36 for your reply
Can't see the reverence to parquet . we are currently using the above functionality , but the pd.DataFrame is only saved as csv compressed by gz

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

Well - that will convert it to a binary pickle format but not as parquet -
since the artifact will be accessed from other platforms we want to use parquet

TimelyPenguin76 - I'm I mistaken?

Also, what version are you on?

of what?

CostlyOstrich36 do you need any additional information?

here is a video of the steps

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
  ... `

Correct

updated the clearml.conf with empty worker_id/name ran

clearml-agent daemon --stop

top | grep clearmKilled the pidsran

clearml-agent list

still both of the workers are listed