Michael Rudolph
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Michael Rudolph
#554 solved a similar issue for me. Essentially, sorting by coordinates before passing a tensor through each layer produced deterministic outputs (for my tests)
Thanks @WilliamHBW, this solved my problem! A "deterministic" MinkowskiConvolution could be implemented as follows ` class SortedMinkowskiConvolution(ME.MinkowskiConvolution): def forward(self, input): # Sort the coordinates weights = torch.tensor([1e12, 1e8, 1e4, 1],...