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

I assume trains passes it as is, so I think the quoting I mentioned might work

but the task pending says its in the queue

ShinyLobster84

🤞

What does that mean? How can I access this data?

hahaha

we did execute locally

Another Q on that - does pyhocon allows me to edit the file while keeping the comments in place?

Okay so at the first part of the code, we define some kind of callback that we add to our steps, so later we can collect them and attach the results to the pipeline task. It looks something like this

` class MedianPredictionCollector:
_tasks_to_collect = list()

@classmethod
def collect_description_tables(cls, pipeline: clearml.PipelineController, node: clearml.PipelineController.Node):

    # Collect tasks
    cls._tasks_to_collect.append(node.executed)

@classmethod...

(it works now, with 20 GB)

it's double weird, because also a task that the pipeline says is "in progress" is actually completed

AgitatedDove14

Increased to 20, lets see how long will it last 🙂

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. `

the ability to exexute without an agent i was just talking about thia functionality the other day in the community channel

yeah I guessed so

so basically - if she has new commits locally that werent pushed it won't work

But if she did not commit her latest changes, and now she enqueues - it will work?

but I don't really know

Yes very much

I prefer we debug on my machine (tell me what you want to check) than create a snippet

👍

Especially coming from the standpoint of a team leader or other kind of supervision (or anyone who wants to view the experiment which is not the code author), when looking at an experiment you want to see the actual code

yep

I understand it starts locally... what does it mean to run the steps locally?

that will require restarting the agent again?

but can't right now

why does it deplete so fast?

queue looks empty

yeah I know