3d convolutions

[jakubMitura14]

Hello I do not see anything that will make it impossible to use this package with 3d convolutions (for example for each voxel in CT scan I want to calculate the mean and standard deviation of its neighbours ... ) yet I can not find a way I looked into NNlib of FLux but I was unable to fuse it with this library I also have done Nvidia Cuda C course so I understand basics of indexing etc. ... still I suppose that there is already good performant and correct way to do it in julia, that I am just unaware of , I would be very gratefull for any help in pointing out how to start it.

[maxfreu]

The best place to ask such questions is over at www.discourse.julialang.org. If you want to do convolutions without any deep learning etc you can use NNlib.conv and provide the convolution filter you like as the w argument. None of this has to do with KernelAbstractions directly, so I think you can close this issue here :)