it is the location of the repo

working directory is the same relative to the script, but the absolute path is different as the github action creates a new environment for it and deletes it after

I can't specify the absolute path, it is dynamically created

CostlyOstrich36

As a part of a repo

I just tried setting the conf in the section Martin said, it works perfectly

The scenario I'm going for is never to run on the dev machine, so all I'll need to do once the server + agents are up is to add task.execute_remotely... after the Task.init line and after the execution of the script is called on the dev machine, it won't actually run but rather enqueue itself for the agent to run it?

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?