I want to get the instances of the tasks executed by this controller task

SuccessfulKoala55 , I get a list of 1 value. This value is a dictionary which has the keys type header and cells . cells is a dictionary in itself which has the keys height values align line font

nope - I'm talking about here

https://github.com/allegroai/trains/blob/98ea965e6d0a39019b31e5fec146ab55da0d52e8/trains/storage/manager.py#L41

but when it is executed through github actions, I get this error

when using the first checkout action, it goes checks out the repo

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

CostlyOstrich36 ⬆

if I set it to 24 does it explode?

it works without any problem

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?

DangerousDragonfly8 but would this work if they are not concurrent but sequential?

Why is that an issue?

Anyway I checked the base task, and this is what it has in installed packages (seems like it doesn't list all the real packages in the environment)

actually i was thinking about model that werent trained uaing clearml, like pretrained models etc

this means that you supply the machine to execute the actions specified

id did not help

so when I'm on the machine through SSH

` name: XXXXXXXXXX

on:
workflow_dispatch

jobs:
test-monthly-predictions:
runs-on: self-hosted
env:
DATA_DIR: ${{ secrets.RUNNER_DATA_DIR }}
GOOGLE_APPLICATION_CREDENTIALS: ${{ secrets.RUNNER_CREDS }}
steps:
# Checkout
- name: Check out repository code
uses: actions/checkout@v2

  # Setup python environment
  - name: Setup up python environment using Poetry
    run: |
      /home/elior/.poetry/bin/poetry env use python3.9
  ...

awesome this will help a lot with debugging

yep

SuccessfulKoala55 here it is

How would I do that?

Cool thanks 🤩

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

So once I enqueue it is up? Docs says I can configure the queues that the auto scaler listens to in order to spin up instances, inside the auto scale task - I wanted to make sure that this config has nothing to do to where the auto scale task was enqueued to

you know what let me try in a sec

how do I run this wizard? is this wizard train's or aws's?

I mean I don't get how all the pieces add up

but the task pending says its in the queue

I was refering to what is the returned object of Task.artifacts['...'] - when I call .get I understand what I get, I'm asking because I want to see how the object I'm calling .get on behaves