I have a study cloned from one from Antonino. It was (and is) working just fine, no memory issues etc. for several runs; Now I made a template of this study (with data included). Suddenly Javier and me had memory issues when running the EM simulation in studies created from the template (no other changes). Javier has some panel (which i don't have) to increase the resources for the s4l python runner, which seems to have solved the issue for him.
So it seems the template creation in some reset the resource allocation, which should not happen imo (especially since normal cloning seems to keep it).
This is a blocker for metamodelling, since it relies heavily on templates.
Template id is: 2ae4b01e-8709-11ef-a023-0242ac1752b8 (fails with memory issue in EM service)
Cloned study (without templating): 96ff449e-8551-11ef-b5f6-0242ac174ade (doesn't fail in EM service)
I have a study cloned from one from Antonino. It was (and is) working just fine, no memory issues etc. for several runs; Now I made a template of this study (with data included). Suddenly Javier and me had memory issues when running the EM simulation in studies created from the template (no other changes). Javier has some panel (which i don't have) to increase the resources for the s4l python runner, which seems to have solved the issue for him.
So it seems the template creation in some reset the resource allocation, which should not happen imo (especially since normal cloning seems to keep it).
This is a blocker for metamodelling, since it relies heavily on templates.