KnnSearchOps.cpp File Reference

(252c867 (Sun May 5 05:39:34 2024 +0000))

#include <vector>
#include "open3d/core/Dtype.h"
#include "open3d/core/nns/NeighborSearchCommon.h"
#include "open3d/ml/pytorch/TorchHelper.h"
#include "open3d/utility/Helper.h"
#include "torch/script.h"

Macros
#define	FN_PARAMETERS

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)
std::tuple< torch::Tensor, torch::Tensor, torch::Tensor >	KnnSearch (torch::Tensor points, torch::Tensor queries, const int64_t k, torch::Tensor points_row_splits, torch::Tensor queries_row_splits, torch::ScalarType index_dtype, const std::string &metric_str, const bool ignore_query_point, const bool return_distances)

Variables
const char *	knn_fn_format

Macro Definition Documentation

FN_PARAMETERS

#define FN_PARAMETERS

Value:

    points, queries, k, points_row_splits, queries_row_splits, metric, \
            ignore_query_point, return_distances, neighbors_index,     \
            neighbors_row_splits, neighbors_distance

Function Documentation

KnnSearch()

std::tuple<torch::Tensor, torch::Tensor, torch::Tensor> KnnSearch	(	torch::Tensor	points,
		torch::Tensor	queries,
		const int64_t	k,
		torch::Tensor	points_row_splits,
		torch::Tensor	queries_row_splits,
		torch::ScalarType	index_dtype,
		const std::string &	metric_str,
		const bool	ignore_query_point,
		const bool	return_distances
	)

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
	)

Variable Documentation

knn_fn_format

const char* knn_fn_format

Initial value:

=
        "open3d::knn_search(Tensor points, Tensor queries, int "
        "k, Tensor points_row_splits, Tensor queries_row_splits, ScalarType "
        "index_dtype=%d,"
        "str metric=\"L2\", bool ignore_query_point=False, bool "
        "return_distances=False) -> "
        "(Tensor neighbors_index, Tensor "
        "neighbors_row_splits, Tensor neighbors_distance)"