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/*
* Copyright (C) 2023, Inria
* GRAPHDECO research group, https://team.inria.fr/graphdeco
* All rights reserved.
*
* This software is free for non-commercial, research and evaluation use
* under the terms of the LICENSE.md file.
*
* For inquiries contact [email protected]
*/
#include "spatial.h"
#include "simple_knn.h"
torch::Tensor
distCUDA2(const torch::Tensor& points)
{
const int P = points.size(0);
auto float_opts = points.options().dtype(torch::kFloat32);
torch::Tensor means = torch::full({P}, 0.0, float_opts);
SimpleKNN::knn(P, (float3*)points.contiguous().data<float>(), means.contiguous().data<float>());
return means;
}