Yeah all clear to me. Thank you.

Thanks @<1523701070390366208:profile|CostlyOstrich36> , so i think some control logic must be written the code, and then use the pipeline input to select the portion of tasks to run (pls correct me if i'm wrong)

Then, i assume selectively running only some tasks from the web app is not supported yet? Let's say i want to start running the [ClearML example pipeline](https://app.clear.ml/pipelines/3572715422f15594b676fa9004e36149/experiments/e-7d38ec49f0cc41b99f67929474af994a?columns=selected...

I don't think docker is there since the machine image field in the autoscaler config is limited to the public ones.

I think that what you want is to build a pipeline from those Tasks? Or create a Task and enqueue it manually directly from Task A?

Hi @<1523701205467926528:profile|AgitatedDove14> , exactly what I wanted 🙂 .
I was wondering about what i can do with the agent's argparse magic.
Thanks for your answer.

Thanks for your suggestion @<1523701087100473344:profile|SuccessfulKoala55> !
It sounds like retry is hard if you're not using POST. Am I interpreting this right?
POST is convenient, yeah I agree but I don't see why the rest can't retry.

It would be helpful if you could elaborate more; which behavior you're trying to control, what's the actual SW stacks and why they're on good terms with POST, why other methods won't work, etc.

Will adding some init script to install docker do the trick?

nvm, it's working somehow 🎉 . thanks a lot!

the exported task