Can you send the full log as attachment?

I assume https from the log

${PWD} works!

This will be resolved every call to Task.init (so I would recommend against it), how about "$HOME/" ?

BroadSeaturtle49 agent RC is out with a fix:
pip3 install clearml-agent==1.5.0rc0Let me know if it solved the issue

UnevenDolphin73 it seems this is a UI browser limit, this means we will need to move it into the server ...
See here: https://clearml.slack.com/archives/CTK20V944/p1640247879153700?thread_ts=1640135359.125200&cid=CTK20V944

Or did you mean I can couple a short "mini config" with the package and redirect clearml to use this local one (instead of the one at ~/clearml.conf)?

Actually yes, you can set a "fixed" config point to it with ENV variable, then setup per user just the access/secret .
wdyt?
(I was also pointing to the fact you do not have to use clearml-init you can create a simple partial config template and let user just fill in the missing "key"/"secret")

MysteriousBee56 Edit in your ~/trains.conf:
api_server: http://localhost:8008
to
api_server: http://192.168.1.11:8008
and obliviously the same for web & files

I'll make sure we fix the trains-agent to output an error message instead of trying to silently keep accessing the API server

Getting you machine ip:
just run :
ifconfig | grep 'inet addr:'Then you should see a bunch of lines, pick the one that does not start with 127 or 172
Then to verify run
ping <my_ip_here>

SUCCESS!!!

SmallBluewhale13 the final path is automatically generated, you only need to specify the bucket itself. By default it will be your "files_server"
https://github.com/allegroai/clearml/blob/c58e8a4c6a1294f8acec6ed9cba81c3b91aa2abd/docs/clearml.conf#L10
You can either change the configuration (which will make sure All uploaded artificats will always be there, including debug images etc.)
You can specify where you want the artifacts and debug images to be uploaded by setting:
https://allegro....

I was just able to reproduce with "localhost"

the services queue (where the scaler runs) will be automatically exposed to new EC2 instance?

Yes, using this extra_clearml_conf parameter you can add configuration that will be passed to the clearml.conf of the instances it will spin.
Now an example to the values you want to add :
agent.extra_docker_arguments: ["-e", "ENV=value"]https://github.com/allegroai/clearml-agent/blob/a5a797ec5e5e3e90b115213c0411a516cab60e83/docs/clearml.conf#L149
wdyt?

Hi @<1694157594333024256:profile|DisturbedParrot38>
Could you attach a full log? This is quite cryptic and does not ring a bell

Let me check if we can reproduce it

Thanks! Let me check if we can reproduce it. BTW what's your clearml package version?

okay, let me check it, but I suspect the issue is running over SSH, to overcome these issues with pycharm we have specific plugin to pass the git info to the remote machine. Let me check what we can do here.
FiercePenguin76 BTW, you can do the following to add / update packages on the remote session
clearml-session --packages "newpackge>x.y" "jupyterlab>6"

Hmm, let me check something

Hi FiercePenguin76
It seems it fails detecting the notebook server and thinks this is a "script running".
What is exactly your setup?
docker image ?
jupyter-lab version ?
clearml version?
Also are you getting any warning when calling Task.init ?

Okay now let's try: EDIT
docker run -t --rm nvidia/cuda:10.1-base-ubuntu18.04 bash -c "echo 'Binary::apt::APT::Keep-Downloaded-Packages \"true\";' > /etc/apt/apt.conf.d/docker-clean && apt-get update && apt-get install -y git python3-pip && python3 -m pip install trains-agent && python3 -m trains-agent --help"

👍

Wait even without the pipeline decorator this function creates the warning?

Yes, that makes sense. Then you would need to use wither the AWS vault features, or the ClearML vault features ...

Hmm so VSCode running locally connected to the remote machine over the SSH?
(I'm trying to figure out how to replicate the setup for testing)

Can you do it manually, i.e. checkout the same commit id, then take the uncommitted changes (you can copy paste it to diff.txt) then call git apply diff.txt ?

it is just local copy so you can rerun and reconfigure

I have to commit the YAML with my AWS credentials to git.

CleanPigeon16 please do not 🙂
either put them on the Task itself, or as OS env on the machine/agent running the Task.
Regrading where it is stored (I think the default is DevOps project, need to look at the code)

Hmm this is odd, when you press on the parent dataset in the UI, and go to full-details, then the INFO tab. Can you copy here everything ?

It should have ....

Ohh ignore the YAML

Hi GrotesqueOctopus42
In theory it can be built, the main hurdle is getting elk/mongo/redis containers for arm64 ...

Hmm HandsomeGiraffe70
This seem like a bug, let me see what we can do about that 🙂
could it be the parent version was created with an older version of clearml sdk ?