👍

I executed it now with full path, using $(pwd)

Oh I get it, that also makes sense with the docs directing this at inference jobs and avoiding GPU - because of the 1-N thing

does the services mode have a separate configuration for base image?

the Task object has a method called Task.execute_remotely

Look it up here:
https://allegro.ai/docs/task.html#trains.task.Task.execute_remotely

Yeah but I don't get what it is for - for now I have 2 agents, each listening to some queues. I actually ignore the "services" queue until now

I don't get the difference between how I'm using my agents now, just starting them on machines, and making them listen to queues, to using the "services" mode

I manually deleted the allegroai/trains:latest image, that didn't help either

Wait, suddenly the UI changed to 0.16.1, seems like I was shown a cached page

let me try to docker-compose down --rmi all

I mean if I continue and build on the example in the docs, what will happen if the training task is completed, and then I get it and log to it? Will it be defined as running again?

a machine that had previous installation, but I deleted the /opt/trains directory beforehand

I was here, but I can't find info for the questions I mentioned

Can you lend a few a words about how the not-pip freeze mechanism of detecting packages work?

To be clearer - how to I refrain from using the built in file-server altogether - and use MINIO for any storage need?

why not use my user and group?

and in the UI configuration I didn't understand where does permission management came into play

Continuing on this discussion... What is the relationship between configuring files_server and all the rest we just talked about and the the default_output_uri ?

I did, but I only find task name, I'm looking to filter by the project

I get this
` [ec2-user@ip-10-0-0-95 ~]$ docker-compose down
WARNING: The TRAINS_HOST_IP variable is not set. Defaulting to a blank string.
WARNING: The TRAINS_AGENT_GIT_USER variable is not set. Defaulting to a blank string.
WARNING: The TRAINS_AGENT_GIT_PASS variable is not set. Defaulting to a blank string.
ERROR: Couldn't connect to Docker daemon at http+docker://localhost - is it running?

If it's at a non-standard location, specify the URL with the DOCKER_HOST environment variable. `

but I can't seem to run docker-compose down

The latest, I curl ed the docker-compose like 10 minutes ago

Gotcha

CostlyOstrich36 so why 1000:1000? My user and group are not that and so do all the otehr files I have under /opt/clearml

👍 thanks (again)

I know tasks have a name and an ID - but projects?

I tried what you said in the previous response, setting sdk.aws.s3.key and sdk.aws.s3.secret to the ones in my MINIO. Yet when I try to download an object, i get the following
` >>> result = manager.get_local_copy(remote_url="s3://*******:9000/test-bucket/test.txt")
2020-10-15 13:24:45,023 - trains.storage - ERROR - Could not download s3://*****:9000/test-bucket/test.txt , err: SSL validation failed for https://*****:9000/test-bucket/test.txt [SSL: WRONG_VERSION_NU...

Hahahah thanks for the help SuccessfulKoala55 & CostlyOstrich36

I really do feel it would be a nice to have the ability to easily configure the Cleanup Service to cleanup only specific projects / tasks as its a common use case to have a project dedicated for debugging and alike

thx! i was looking in the docs and was looking for something like URL/URI now i know why i didnt find it 😅

And once this is done, what is the file server IP good for? will it redirect to the bucket?