which clearml.conf is it refering to? I'm executing on my client, which is then remotely executed by the agent. Both of them has ~/clearml.conf.

Any comments on using the global python libraries without the need to 'pip install' anything?

What's the diff between template-yaml and --overrides-yaml? I used the latter to ensure the gpu is passed in.

Hi, i'm gonna hijack this thread a bit. My community uses ClearML and is looking at various model deployment strategies. We are looking at a seamless integration with Triton but noted they Triton does not support deployment strategies. ClearML-Serving seems to but the strategies are rather limited. Is there a roadmap to expand Clearml-serving?

Do you mean this?
Removing containers section: [{'image': 'clearml-agent:latest"', 'env': [{'name': 'PIP_INDEX_URL', 'value': ' '},

Hi, it's for both.

Hi, clearml-agent==0.17.2rc3 did work. I'm on a 1.19 k8s cluster, and has this error when a task is pulled. Is the glue not compatible with 1.19?
` Pulling task 3a90802d1dfa4ec09fbccba0beffbaa8 launching on kubernetes cluster
Pushing task 3a90802d1dfa4ec09fbccba0beffbaa8 into temporary pending queue
Kubernetes scheduling task id=3a90802d1dfa4ec09fbccba0beffbaa8
kubectl output:
Flag --replicas has been deprecated, has no effect and will be removed in the future.
Flag --generator has been depre...

I would say its intermittent.

Thanks TimelyPenguin76 , let me try it out now.

Its actually in your documentation. Its removed since 0.17 apparently.
https://allegro.ai/clearml/docs/docs/release_notes/ver_0_17.html#clearml-agent-0-17-2

And this is my logs, it tried to install something and encountered permission denied. It wouldn't if it obeyed the force_repo_requirements_txt.

1620664917916 Kahs-MacBook-Pro.local info ClearML Task: created new task id=024a421c0e174650a1c7ff64af756c26 ClearML results page: `
1620664920359 Kahs-MacBook-Pro.local info ClearML Mon...

Thanks. That's easy to miss as its not quite apparent in the main docs. How should i pass in env variables with Task?

It didn't work as expected.
` task init
task report iter 10

task init
task report iter 10

The second task pushed the reporting iteration to 20 instead. `

The problem is resolved by doing a git push. Somehow the git diff didn't capture the difference in requirements.txt in the project. I can't reproduce the same issue after this as well.

Ok sure. Thanks.

Ok thanks, we'll try it out on next availability.

I think the default action of clearml-agent k8s glue when running a task is to create a virtual env and installing the dependancies. So i'm just checking how to change that behaviour to look at global instead.

Is there enterprise support for k8s glue on OpenShift?

Got that thanks. Just to better understand. When clearml-data upload my recursive folder of image data, it convert it into a compressed form with a different folder structure than the original datasets.

When my software pull the data, i'm returned a str. How would we manipulate the data from there?

Thanks. This appears to be solely for web UI and API, What if i want to orchestrate on K8S?

AgitatedDove14 , would you elaborate on this resolution process?

ok thanks.

Thanks SuccessfulKoala55 , how might I do this clean up? Does this increase with more use of ClearML? And to add, we save all artifacts onto a remote S3 server.

Thanks AgitatedDove14 , unfortunately it didn't take effect.

Hi, the idea is to load the gituser and password into the --env by loading it via a env var so the client could access the resources without divulging the credentials in source code and it would be removed after completion since the container would be removed. Its actually doing well with ClearML except the part that the agent seems to print the content of docker_cmd on running the task.

I would like to note that this behaviour doesn't exist with the clearml-agent daemon though. It only exis...

Ok, that seems clearer, thanks.

python k8s_glue_example.py --queue gpu --namespace default 
Traceback (most recent call last):
 File "k8s_glue_example.py", line 86, in <module>
  main()
 File "k8s_glue_example.py", line 80, in main
  namespace=args.namespace,
 File "/home/administrator/clearml-agent-k8s/venv/lib/python3.6/site-packages/clearml_agent/helper/base.py", line 239, in _ call _
  cls. instances[cls] = super(Singleton, cls). call_(*args, **kwargs)
TypeError: _ init _() got an unexpected keyword argument 'base_pod...

In the ClearML config that's being run by the ClearML container?

I'm also noticing a lot of this while the k8s glue is running.
Ex: Expecting value: line 1 column 1 (char 0) K8S Glue pods monitor: Failed parsing kubectl output:

what feature on this paid roadmap are you referring to? I am indeed communicating with Noem on paid features.

ah... thanks!