KnnSearchOpKernel.cpp File Reference

#include "open3d/core/nns/NanoFlannImpl.h"
#include "open3d/core/nns/NeighborSearchCommon.h"
#include "open3d/ml/pytorch/TorchHelper.h"
#include "open3d/ml/pytorch/misc/NeighborSearchAllocator.h"
#include "torch/script.h"

Macros
#define	INSTANTIATE(T, TIndex)

Functions
template<class T, class TIndex>
void	KnnSearchCPU (const torch::Tensor &points, const torch::Tensor &queries, const int64_t k, const torch::Tensor &points_row_splits, const torch::Tensor &queries_row_splits, const Metric metric, const bool ignore_query_point, const bool return_distances, torch::Tensor &neighbors_index, torch::Tensor &neighbors_row_splits, torch::Tensor &neighbors_distance)

Macro Definition Documentation

INSTANTIATE

#define INSTANTIATE	(		T,
			TIndex )

Value:

    template void KnnSearchCPU<T, TIndex>(                                \
            const torch::Tensor& points, const torch::Tensor& queries,    \
            const int64_t k, const torch::Tensor& points_row_splits,      \
            const torch::Tensor& queries_row_splits, const Metric metric, \
            const bool ignore_query_point, const bool return_distances,   \
            torch::Tensor& neighbors_index,                               \
            torch::Tensor& neighbors_row_splits,                          \
            torch::Tensor& neighbors_distance);

Function Documentation

KnnSearchCPU()

template<class T, class TIndex>

void KnnSearchCPU	(	const torch::Tensor &	points,
		const torch::Tensor &	queries,
		const int64_t	k,
		const torch::Tensor &	points_row_splits,
		const torch::Tensor &	queries_row_splits,
		const Metric	metric,
		const bool	ignore_query_point,
		const bool	return_distances,
		torch::Tensor &	neighbors_index,
		torch::Tensor &	neighbors_row_splits,
		torch::Tensor &	neighbors_distance )