It seems like this is a bug however or is something like this to be expected? There shouldn't be files that are not shown in the WebUI..?

Thanks for answering, but I still do not get it. file_history_size decides how many past files are shown? So if file_history_size=100 and I have 1 image/iteration and ran 1000 iterations, I will see images for iteration 900-1000?

@<1576381444509405184:profile|ManiacalLizard2> Thank you, but afaik this only works locally and not if you run your task on a clearml-agent!

I can put anything there: s3://my_minio_instance:9000 /bucket_that_does_not_exist and it will work.

None

I don't think so. It is related to issue with the clearml-server I posted in the other thread. Essentially the clearml-server hangs, then I restart it with docker-compose down && docker-compose up -d and the experiments sometimes show as running, but on the clearml-agents I see that actually nothing is running or they show as aborted.
I know that usually clearml-agents do not abort on server restart and just continue.

At least when you use docker containers the agent will reuse the existing python environment.

` apiserver:
command:
- apiserver
container_name: clearml-apiserver
image: allegroai/clearml:latest
restart: unless-stopped
volumes:
- /opt/clearml/logs:/var/log/clearml
- /opt/clearml/config:/opt/clearml/config
- /opt/clearml/data/fileserver:/mnt/fileserver
depends_on:
- redis
- mongo
- elasticsearch
- fileserver
- fileserver_datasets
environment:
CLEARML_ELASTIC_SERVICE_HOST: elasticsearch
CLEARML_...

Okay, thank you anyways. I was just asking because I thought I had seen such a setting before. Must have been something different.

I think in the paid version there is this configuration vault, so that the user can pass their own credentials securely to the agent.

Unfortunately, I do not know that. Must be before October 2021 at least. I know I asked here how to use the preinstalled version and AgitatedDove14 helped me to get it work. But I cannot find the old thread 😕

Thank you for answering. So your suggestion would be similar to VexedCat68 's first idea, right?

Yes, that looks alright. Similar to before. Local execution works.

AgitatedDove14 https://github.com/allegroai/clearml/pull/372

Thanks for your help again. I will just use detect_with_conda_freeze: true . Seems like a perfect solution for me!

Makes sense, but this means that we are not able to tell clearml-agent where to save on a per-task basis? I see the output_destination set correctly in clearml web interface, but as you say, clearml-agent always uses its api.fileserver ?

Yes. What do you mean by unconnected?

AnxiousSeal95 This bug seems to be affecting me. I just tried forcing clearml-agent to install clearml-agent==1.4.1 in the docker and now it works.
Btw: clearml-agent uses pip install clearml-agent -U to install clearml-agent in the docker. However, instead of using the newest clearml-agent it should use the version that the host machine is using to run clearml-agent in my opinion.

The debug samples? or the artifacts/models?

Both.

Yes, change the Task's output destination in the UI (or programmatically)

This has no effect. I am not able to change the files_sever, e.g. I can not change from None to None
If my files_server is None , it will always look there no matter what I set as output destination.

Or there should be an early error for trying to run conda based tasks on pip agents

clearml==0.17.4
` task dca2e3ded7fc4c28b342f912395ab9bc pulled from a238067927d04283842bc14cbdebdd86 by worker redacted-desktop:0
Running task 'dca2e3ded7fc4c28b342f912395ab9bc'
Storing stdout and stderr log to '/tmp/.clearml_agent_out.vjg4k7cj.txt', '/tmp/.clearml_agent_out.vjg4k7cj.txt'
Current configuration (clearml_agent v0.17.1, location: /tmp/.clearml_agent.us8pq3jj.cfg):

agent.worker_id = redacted-desktop:0
agent.worker_name = redacted-desktop
agent.force_git_ssh...

Setting the api.files_server: s3://myhost:9000/clearml in clearml.conf works!

I just wanna avoid that ClearML leaves files lingering around. Btw: a better default behavior in my opinion would be to delete tasks only after files have been deleted. And only with the force option to delete the task anyways!

Perfect, works! I was looking for "host", didn't come to my mind to search for "worker". Any idea about getting the user that created the task?

end file?

An example would be to use detect_with_conda_freeze for one project, but not for another one. These kind of configs are project-specific and not user-specific in my opinion. Similar to project specific configurations vs user-specific configurations in most IDEs.

Thank you very much! 😃

There is no way to create an artifact/model/dataset without a task, right? Just always inherit from the parent task. And if cloned change the user to the user who did the clone.

(just for my own interest: how much does the enterprise version divert from the open source version? It it just extended or are there core changes to the enterprise version)

SweetBadger76 I am using the Cleanup Service

I will try again tomorrow. It s getting late! Thank you for helping so far!