Well it should work, make sure you see the Task "holds" all the information needed (under the execution tab). repo / uncommitted changes / python packages etc.
Then configure your agent (choose pip/conda/poetry as package managers), and spin it up (by default in venv/coda mode, or in docker mode)
Should work 🙂

I’ll try it tomorrow and let you know if there is anything wrong

Just tried the code

But it seems buggy

which client should I import for Client.queues ?

I tried from clearml.backend_api.session import client no luck

Apiclient will report

let me check a sec

Sure I'm right here with you

from clearml.backend_api.session.client import APIClient client = APIClient() result = client.queues.get_next_task(queue='queue_ID_here')Seems to work for me (latest RC 1.1.5rc2)

Oh this is one line missing on the above code

On sec

Can get the result now but failed with this

sorry typo client.task. should be client.tasks.

works fine awesome!

So is there any tutorial on this topic

Guess I’ll need to implement job schedule myself

Or can I enable agent in this kind of local mode?

So is there any tutorial on this topic

Dude, we just invented it 🙂
Any chance you feel like writing something in a github issue, so other users know how to do this ?

Guess I’ll need to implement job schedule myself

You have a scheduler, it will pull jobs from the queue by order, then run them one after the other (one at a time)

Or can I enable agent in this kind of local mode?

You just built a local agent

Guess my best chance is to check out the agent source code right?

Do you think the local agent will be supported someday in the future?

I'm thinking roll out multiple experiments at once

Do you think the local agent will be supported someday in the future?

We can take this ode sample and extent it. can't see any harm in that.
It will enable very easy to ran "sweeps" without any "real agent" installed.

I'm thinking roll out multiple experiments at once

You mean as multiple subprocesses, sure if you have the memory for it

Yeah the ultimate goal I'm trying to achieve is to flexibly running tasks for example before running, could have a claim saying how many resources I can and the agent will run as soon as it find there are enough resources

I can comment it on the github issue

How can I do to help extend it?