kk98kk

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Hi @coreyjadams, for debugging and testing the domain parallelism feature I’m currently using only **2 GPUs**. The relevant excerpt from my ```config.yaml``` looks like this: ``` # ā”Œā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā”€ā” # │...

I’m experiencing the same issue while using version 1.3.0a0. However, when I set surface_points_sample = 0, I get the following errors: ============================================================ Traceback (most recent call last): File "/work/u33l96/domino_prj/domino/src/train.py", line...

Hi, It looks very promising so far! However, since volume data (for ``volume_factors``) now also needs to be processed even for surface-only trainings, it will take a bit longer before...

@ram-cherukuri Of course. My results will be sooner or later anyways public, but I will check this with my professor, to be sure.

@ram-cherukuri I think you can close the case. The predictions from the latest version (25.08) look correct again. Here is an example of one: