WilliamHBW

Hi, I also have the same problem with a Minkowski Convolution with kernel size equals to 2 and stride equals to 2. I oberserved that the layer gives two different...

After several experiments, I might have found a possible solution to this problem. After adding a sort function on the output of the convolution layer, which will sort the sparse...

Here is the sorting code I used. def array2vector(array, step): array, step = array.long().cpu(), step.long().cpu() vector = sum([array[:,i]*(step**i) for i in range(array.shape[-1])]) return vector def sort_spare_tensor(sparse_tensor): indices_sort = np.argsort(array2vector(sparse_tensor.C.cpu(), sparse_tensor.C.cpu().max()+1))...