Hi everyone!!, I did an automation with a deepLearning model. Until now everything was working fine, suddenly it started to give a memory error when predicting the image. The error is: dagster._core.executor.child_process_executor.ChildProcessCrashException
(If I run it in a .py script without dagster everything works fine)
I have tried with different executors but there is still a memory problem. I am also removing the objects in the process, as well as using the gc.collect() function. Is there a way to increase the render memory in dagster so that this doesn't happen?