SuccessfulKoala55 on a different question that came up in the context of this use case, I want to use Task.init(continue_last_task=id) in order to add the inference results to the original task that ran the inference.

I was able to do this for a single task. I locally fetch the task ids, then for the first task I run Task.init with continue_last_task and subsequently I run task.execute_remotely() and the task is then run remotely with the outputs appended to the original training task.

When doing this to a single task, I see that the task's script is being replaced with the current inference script and that's working fine. How can I do this for multiple tasks? I tried runnitn Task.enqueue after the task.init with continue but that doesn't work.