^{Originally posted by schellenchris November 30, 2022}
Hello,

I was playing around with the GridPatchDataset / training with smaller Slices than the original volume, when I ran into some weird RAM OOM problems. After some investigation i noticed that line 290 in data/utils.py cause the problem:

is there a reason to pad the image that much (especially padding the channels doesn't make sense for me)?
I managed to reduce the memory by 15! GB by modifying the code a bit and just padding the axis slices are generated from. I was just wondering if I am missing out on something.