It seems that task.set_base_docker must be called with docker_image as well (otherwise docker_arguments don't propagate), not sure if it's a bug or not, but I have a workaround now, thanks!

Yeah, I'm starting to lean towards enterprise solution more and more 😁
Thanks!

@<1714813627506102272:profile|CheekyDolphin49> You should probably use 'General/coupling' and 'General/rep'

Doesn't work unfortunately 😕 Thanks either way!

I know about clearml.conf but wanted to avoid ssh-ing through 50 instances to edit it.
task.set_base_docker does the job, but docker_arguments doesn't propagate if I leave docker_image as None (it just uses both image and arguments from clearml.conf of the agent). If I explicitly state docker_image and docker_arguments in task.set_base_docker it works fine.

Once I used clearml-data add --folder * API everything works correctly (though all files recursively ended up in the root, I had luck all were named differently).

Additional info:
-Public URL uses HTTPS, internal traffic doesn't.
-clearml.storage fails while trying to fetch None ...

Meaning it just replaced the internal IP with the URL at some point for some reason, it doesn't exist in that form anywhere in any configs (http and public URL).

"Executing: ['docker', 'run', '-t', '--gpus', '"device=0"'" - so the container is executed with --gpus.
However, torch.cuda.is_available() returns False.

Failed to initialize NVML: Unknown Error

OSX 12.5.1
Python 3.8.1.
Clearml 1.13.1

"clearml-data add --folder ./*" always flattens everything, I have that reproducible 100%.

I have a dataset of ~24GB and I've tried multiple times uploading it with the sync function.

• The cache doesn't work, it attempts to download the dataset every time.
• It "misses" some files somehow. So once the job runs it fails due to missing files.
• I've ran verify afterwards (from the machine I used to upload the data) and it says it's all good. However, once I inspect the zip files on the server (look for the files in the specific zip the state json says they're in) the files are indee...

Single version. The issue seems to be the creation. If I use "clearml-data sync --folder ." it says it uploaded all the files. Running "clearml-data verify --folder ." says it's all good. Metadata on the WebUI reports the expected number of files. However, once I extract the zips (or download the dataset through Python API or CLI) not all the files are there.

"clearml-data add --folder ./*" seems to fix this issue though it doesn't preserve my directory structure so I'd have to write a scrip...

I'll try to reproduce it and will get back at you. The HPO task (parent of this task) was deleted indeed but that shouldn't matter? One of the models was deleted but the other one wasn't.

I've tried that one, but it behaves the same :/

Kind ping on this thread, thanks! 🙂

No worries, sorry for pinging, was just making sure you (or anyone else who might help) doesn't miss it 🙂
I use Task.add_requirements("requirements.txt") right before the Task.init.
In main, I parse arguments command-line, add_requirements, initialize Task and call execute_remotely. After that it's all pretty much the usual workflow. Initialize the model, setup dataloaders, optimizer and run the training. I'm using pytorch-ignite and have model checkpoint made on validation evaluator COMPL...

Got it, thanks a lot!

Found this, seems to be exactly this: None
It appears that running docker as --privileged resolves the issue which is easier for me than to edit all of the instances I've already created. Is there an easy way to add a docker argument in the python script?
I've tried task.set_base_docker(docker_arguments="--privileged") right after Task.init but it doesn't seem to work.
Thanks!

Added -v /home/uname/.ssh:/root/.ssh and it resolved the issue. I assume this is some sort of a bug then?

Yes SSH_AUTH_SOCK is defined on the host. Should I manually add SSH mounting then through "extra flags"?

Having a bit of trouble with this one (sorry for possibly dumb questions).
Are there any docs on how to add certs to the docker image? I see this ( None ) which is where letsencrypt points me to, but I'm not sure what's the proper way to do this on the webapp docker (I'd assume there's a non-hacky way to do it as others are using the same setup I'm trying to make work I guess)

I just added the secrets/keys to docker-compose.yml and restarted everything but no change.

Probably not, I'm trying to access it via external IP. Could you point me to instructions for that in the docs, I don't remember seeing it anywhere? Thanks!

To make sure I understand, I need to setup a domain with a cert and it should work, no additional ClearML config is required?

Got it, thanks folks!

Got it, thanks!

Ooooh, I didn't notice that field is editable. Thanks!
So I should use add_requirements before Task.init and delete the list from webUI when needed?

How would that be reflected on the plot?

Got it. Is there any way to skip a point at some iteration? If I just don't report it at iteration t I'll get interpolation from t-1 to t+1.

I'll check the docker command next time this happens, thanks! For the machines, all of them have GPUs (and are in fact identical/cloned VMs) and if I rerun it and get the same exact machine again it works so it's some part of "GPU detection" or something, we'll know more hopefully once it happens again, thanks.