I'm using the k8s Glue.

Its. 0.17-63.
It doesn't appear in profile page.

I also think it make sense that when you do certain definitive CI actions like publish, it would support some custom scripts to run.

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...

Hi yes, still getting the SSLs. It looks like some incompatibility with the OS ssl libraries.

Sorry take back. Just realised that this argument only worked on running the agent, but when you enqueue a task into this agent, the argument is not passed on to the container that the agent spawned.

This is the same issue for the docker image. It reverts back to nvidia/cuda:10.1-runtime-ubuntu18.04 despite me setting something else.

Hi, I was expecting to see the container rather then the actual physical machine. For example, in the file panel on the left of the jupyter panel, I see the file contents of the physical machine. I was expecting this to be the container.

yah i got that too. This happens when i run the client code on the same machine as the clearml-agent. So i'm wondering if sharing the same clearml.conf cause that problem. Is there a way to specify the clearml.conf instead of defaulting to ~/clearml.conf?

I managed to find out why. The docker image I'm using is not set as root user thus the error. But I'm wondering why this is the case as docker best practices does indicate we should use a non root on production images.

Hi it is missing --docker on the agent. Thanks! Dynamic GPU option only available with Enterprise version right?

Yes it is! But ClearML didn't support multi node training out of the box in a way that it streamline the process. So we are trying to figure out a way to do it.

Hi thanks. How about Agent, does its docker mode or k8s mode require docker.sock to be exposed?

thanks, let me try that.

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.

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

[root@2c7498711bef elasticsearch]# curl `
{
"cluster_name" : "clearml",
"status" : "red",
"timed_out" : false,
"number_of_nodes" : 1,
"number_of_data_nodes" : 1,
"active_primary_shards" : 4,
"active_shards" : 4,
"relocating_shards" : 0,
"initializing_shards" : 0,
"unassigned_shards" : 8,
"delayed_unassigned_shards" : 0,
"number_of_pending_tasks" : 0,
"number_of_in_flight_fetch" : 0,
"task_max_waiting_in_queue_millis" : 0,
"active_shards_percent_as_number" ...

Hi, when i tried ip:port, it references the right host and bucket....BUT... the file is not found on the ECS S3 even though i can see from the logs that it states Completed model upload to s3://ecs.ai:80/clearml-models/artifacts/ ...

Hi, this is the setup.

client
from clearml import Task, Logger task = Task.init(project_name='DETECTRON2',task_name='Train',task_type='training') task.set_base_docker("quay.io/fb/detectron2:v3 --env GIT_SSL_NO_VERIFY=true --env TRAINS_AGENT_GIT_USER=testuser --env TRAINS_AGENT_GIT_PASS=testuser" ) task.execute_remotely(queue_name="single_gpu", exit_process=True)
k8s_glue_example.py spawned a pod and starts running.

ClearML UI -> Experiment -> Results -> Console.
` At the top it will pri...

Hi,
It did, nvidia/cuda:10.1-runtime-ubuntu18.04.

So if i need to set this every time, what is the following config for? And how do i pass in new env parameters?
` default_docker: {
# default docker image to use when running in docker mode
image: "dockerrepo/mydocker:custom"

    # optional arguments to pass to docker image
    # arguments: ["--ipc=host", ]
    arguments: ["--env GIT_SSL_NO_VERIFY=true",]
} `

This one can be solved with shared cache + pipeline step, refreshing the cache in the shared cache machine.

Would you have an example of this in your code blogs to demonstrate this utilisation?

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...

Hi, i was reading this thread and wondered which version of clearml-server and clearml-agent has this taken effect with?

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.

ok thanks! will try it out.

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?

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.

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?

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.

I can't seem to find the version number on the clearml web app. Is there a specific way?

Hi Jake, thanks for the suggestion, let me try it out.