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