Mirko Venturi

Hi
is it possible to apply a per-particle divergence attribute and have them react according to that value?
I.e. every particle has a random value, so particles with 0.1 will stick closer compared to particles with 0.5 divergence.

I have two computers rendering scenes in Karma using Houdini's pdg.

I'm using a queue worker, a cpu and a gpu workers on each workstation so i can split tasks dedicated to cpu and gpu that way, while the queue worker keeps managing the queue between the two computers.
(see screenshot, i hope that's clear)




I send the tasks using the queue scheduler, and the tasks will have a rule if they need to use cpu or gpu worker.


Sometimes tasks fail with the following error on the workstation of which queue worker is not the one that received the main pdg job.

FranticX.Processes.ManagedProcessAbort: Failed RPC start_cook with error: PDGnet RPC send-get-reply failed. (error 268436688: MQ error #268436688)

Then, if it tries again IT MAY pick up the task and successfully render it. Or keep failing it.
It seems to fail ONLY when it has to deal with Karma tasks.

What could be the cause?
I can't replicate the issue when i want, as sometimes it works, sometimes it doesn't.

hi!
have you ever solved this issue? could you get it to ignore those errors and start your rop geometry output node task?