Do you have more info on vault?
Actually it only make sense if the entire department or organisation are saving their models in a common repo. In our case this is not possible due to client security (e.g. training data from clients can potentially be 'reverse engineered' from trained models in future). So each department and even projects will need their own repo.

It would make sense on a very large resource cluster. Unfortunately we only have less than 50 GPUs to share across. A multi-tenant SAAS would cut the resources into even more smaller clusters and not help with efficiency. Or would you have a suggestion?

Hi AgitatedDove14 , i changed everything to cuda 10.1 and tried again with the same rrror. the section as follows. I made sure torch==1.6.0+cu101 and torchvision==0.8.2+cu101 are in the pypi repo. But the same error still came up.
` # Python 3.6.9 (default, Oct 8 2020, 12:12:24) [GCC 8.4.0]
boto3 == 1.14.56
clearml == 0.17.4
numpy == 1.19.1
torch == 1.6.0
torchvision == 0.7.0

Detailed import analysis

**************************

IMPORT PACKAGE boto3

clearml.storage: 0

IMPORT PACKAG...

AgitatedDove14 , would you elaborate on this resolution process?

Hi AgitatedDove14 , what version i should change it to? I'm currently on v0.17.2rc3.

I can't seem to find the fix to this. Ended up using an image that comes with torch installed.

Sorry, dev end I was referring to my developers.

I didn't think Horovod needs to be as complicated as you described. It can also work by running on multiple known nodes. How would i add a glue for multinode?

Horovod does also work with other similar products such as yours (E.g. Polyaxon).

Hi AgitatedDove14 , thanks.
In this case i am running k8s glue (machine glue), which will then spawn off pods in kubernetes worker (machine worker). So when you say direct access, are you refering to the Glue machine or K8S Worker machine?

Thought this looked familiar.
https://clearml.slack.com/archives/CTK20V944/p1635323823155700?thread_ts=1635323823.155700&cid=CTK20V944

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

Thanks SuccessfulKoala55 . Just pm'ed him.

yeah, someone should call them out.

Is there a way for k8s glue to pass on self signed cert information to the agent pods?

Previously we had similar issues when we switched images used in agent. Might want to check on that.

Hi SuccessfulKoala55 , thanks. Opened issue on the CLearml-Agent GH at https://github.com/allegroai/clearml-agent/issues/67

In the Kube logs of the pod, i see 'Err:1 http://security.ubuntu.com/ubuntu bionic-security InRelease Temporary failure resolving http://security.ubuntu.com '. My guess is its trying to do a apt update.

As we are on disconnected network, we have a server hosting the repo but on a differennt name.

Hi, is this currently not working? http://app.community.clear.ml ? I noticed that cleaml UI will cache on the browser and if the backend is not running, its not clear to user that something is wrong (except for broken pages).

ok. Any idea what can go on between the setting up of clearml-agent and initialising the clearml-agent itself? Does the clearml-agent try to communicate with any internet address. From another perspective, it looks like a long time out issue. I happen to be deploying on a disconnected on-premise setup.

Thanks could you share the URL to this full API documentation?

Is this fix coming soon?

Hi, please correct me if i am wrong, to use the glue, i need the following.
A k8s cluster A kubectl that is connected to the k8s cluster A pip install of clearml-agent 0.17.1
So i did all the above, I'm not what it meant by running the entire thing on own machine.

Thanks, its attached.
I also noted that the status on the ClearML is always in 'pending', unlike others which says 'Running'. Is this a side effect of using k8s glue?

This would be solved if --env GIT_SSL_NO_VERIFY=true is passed to the k8s pod that's spawned to run the job. Currently its not.

Alright i will try that.

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...

Thanks 👍 . Should i create an issue on Github?

I thought of another potential way but not sure if the SDK supports it.
We will perform manual save and upload of model using vanilla boto3 and credentials passed in as env var. Use ClearML SDK to update the Model Repo on the location of the model, without ClearML uploading it explicitly.Would the above work?

Yeah that'll cover the first two points, but I don't see how it'll end up as a dataset catalogue as advertised.

I see. Is there a more elaborate codeset that describes the above interactions?

No i didn't indicate this particular issue on the git issue. Only the apply template.yml is on the issue.