| | |
| | * 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 george.drettakis@inria.fr |
| | */ |
| |
|
| | #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; |
| | } |