And this is also remotely?

You can configure what to log and what not in the task init: https://clear.ml/docs/latest/docs/clearml_sdk/task_sdk/#automatic-logging

You can turn it all off by setting auto_connect_frameworks to false but you can do a finer grained control of logged frameworks with framework-boolean pairs

Is this after you've started the clearML server that you can't find the experiments?

That doesn't seem normal, let me ask around and get back to you

I'm not sure about the preview part but after uploading I think you might find the images with list and --filter
https://clear.ml/docs/latest/docs/clearml_data/clearml_data_cli#list
I'm not sure if that helps?

Can you elaborate on the hidden project? Is this part of a task you created and something is not showing up?

It looks like there is this option under Settings->Configuration->Show Hidden Projects

So for notebooks requirements are indeed not checked elsewhere.
You can however include them with using this line before Task.init

Task.force_requirements_env_freeze(requirements_file=requirements.txt)

That's pretty weird. I don't see any clear indications something is wrong, it simply doesn't execute the rest it would seem. Did it successfully run the first time before cloning it?

As far as I know, you can start a docker container with the same version and the same volumes and you should be able to just continue.

Could you upload the log so I can have a look?

Happy to help!

Did you use --git-credentials ?
https://clear.ml/docs/latest/docs/apps/clearml_session#accessing-a-git-repository

We're sorry about that, this seem like a bug indeed. Could you open a github issue?

You can add them in env files:
https://clear.ml/docs/latest/docs/clearml_serving/clearml_serving_setup/#advanced-setup---s3gsazure-access-optional

Did you first init the Task?
https://clear.ml/docs/latest/docs/references/sdk/task/

I'm not exactly sure but it seems this is an Airflow error when a library isn't working.
Can you try
os.environ["no_proxy"]="*"I've found this both here: https://github.com/apache/airflow/discussions/24463#discussioncomment-4211269
and here: https://stackoverflow.com/a/73983599

I'm not sure if you can delete it when using pipelines but I would say try it on a new project?

PIP can install from git repositories!
So you can point to your own repository or even a specific commit hash.

https://pip.pypa.io/en/stable/topics/vcs-support/

ThoughtfulBadger56 Have you uncommented the existing venvs_cache section in the config file?
https://clear.ml/docs/latest/docs/clearml_agent#virtual-environment-reuse

Could you elaborate on S3 checkpoint name?
I'm assuming it's a filename?
Possibly post those few lines of code?

We checked in the UI and if the model description is edited with double spaces, they remain, so the problem is likely somewhere in the SDK.

ZanyPig66 maybe this example can help?
https://github.com/allegroai/clearml/blob/master/examples/frameworks/pytorch/tensorboard_toy_pytorch.py

You could also try to upload an image or directory:
https://clear.ml/docs/latest/docs/guides/reporting/artifacts/#image-files

Have you tried --verbose ?

You can get all tasks: https://clear.ml/docs/latest/docs/references/sdk/task#taskget_all

You can search tasks: https://clear.ml/docs/latest/docs/clearml_sdk/task_sdk#querying--searching-tasks

And you can get the status:
https://clear.ml/docs/latest/docs/references/sdk/task#get_status

That's interesting, I don't know enough to answer though. :/ AnxiousSeal95 do you happen to know if this is expected behavior? Or how to have the desired outcome?

I also learned :p

So could you just setup your virtual environment with a task?

Both server and agent can be configured with different ports. Which is it you`re looking for?

Do you get any error when uploading?
It looks like it can upload but can't download afterwards.

You can set where to store it via this config file: https://clear.ml/docs/latest/docs/fundamentals/artifacts/#setting-upload-destination