Harsha

Sure, you can use that by removing the last job and moving the steps into the previous one.

Here's the final workflow (with a test docker file) that works end-to-end on the self-hosted ec2 runner and pushes the docker image, weights, and inference scripts only if the docker...

and here's the final branch layout https://github.com/hvgazula/trained-models/tree/issue-7

I'd leave it as is. No more refactoring at this point. If at all you are interested in separating into multiple jobs, try fixing [this workflow](https://github.com/neuronets/test-aws/actions/runs/6819633206/job/18547445872) first. This issue partially...

WIP https://github.com/datalad/datalad-action/issues/18#issuecomment-1942666487

Works alright in GitHub runner but not on ec2 self-hosted runner because all actions are run as `root`. 

changing no non-root user didn't cut either. https://github.com/neuronets/test-aws/actions/runs/7904098846

I am giving up. Thanks.

Nah..I am testing the action itself not simulating the steps in the action...

built docker image successfully