Hi OutrageousSheep60 , I think you'll need to run the agent in docker mode

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

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

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

This is odd ...

OutrageousSheep60 when you launch clearml-session it tells you the session ID (which is also a Task ID), can you look for it in the UI and check there is something in the repo/uncommitted-changes section ?

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

No changes logged

Any other suggestions?

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?

Hi SuccessfulKoala55
Any suggestion how to progress ?

OutrageousSheep60

I found the task in the UI -

and in the

UNCOMMITTED CHANGES

execution section there is

No changes logged

This is the issue.

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 \ --verboseAre you running the "cleamrl-session" from your machine? (i.e. not from inside a docker) ?
Can you send the full clearml-session console output ?

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

AgitatedDove14 - here is the full log

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

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

This really makes little sense to me...

Can you send the full clearml-session --verbose console output ?

Something is not working as it should obviously, console output will be a good starting point

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

I'm checking the possibility of our firewall between the

clearml-agent

machine and the local computer running the

session

Maybe... the thing is, how come the session creates a Task, push it into the queue, but the Task itself is empty.
Hence my request for the clearml-session console log, like actual copy paste of what you have in the terminal, not the Task log from the UI

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'

Where do we define the remote configuration ?

When the Interactive session config is displayed -I can see the User and Password - which I can separately ssh into the agent machine - (so I know the User and Password are correct)

e.g. The config session uses USER1
Interactive session config: { "base_task_id": null, "docker": "nvcr.io/nvidia/pytorch:20.11-py3", "git_credentials": false, "jupyter_lab": true, "keepalive": false, "packages": [ "clearml", "tensorflow>=2.2", "keras" ], "password": "PASS", "queue": "QUEUE", "username": "USER1", "verbose": true, "vscode_server": true}

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

Nice!

But now there is an issue with the

Setting up connection to remote session

OutrageousSheep60 this is just a warning, basically saying we are using the default signed SSH server key (has nothing to do with the random password, just the identifying key being used for the remote ssh session)
Bottom line, I think you have everything working 🙂