Open3D (C++ API)  0.11.0
Macros | Functions
KnnSearchOps.cpp File Reference

(1a9653d6 (Mon Sep 21 12:34:47 2020 +0200))

#include <vector>
#include "open3d/ml/impl/misc/NeighborSearchCommon.h"
#include "open3d/ml/pytorch/TorchHelper.h"
#include "torch/script.h"

Macros

#define FN_PARAMETERS
 
#define CALL(type, fn)
 

Functions

template<class T >
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, const std::string &metric_str, const bool ignore_query_point, const bool return_distances)
 

Macro Definition Documentation

◆ CALL

#define CALL (   type,
  fn 
)
Value:
if (CompareTorchDtype<type>(point_type)) { \
fn<type>(FN_PARAMETERS); \
return std::make_tuple(neighbors_index, neighbors_row_splits, \
neighbors_distance); \
}
#define FN_PARAMETERS

◆ 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
int points
Definition: FilePCD.cpp:73

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,
const std::string &  metric_str,
const bool  ignore_query_point,
const bool  return_distances 
)

◆ KnnSearchCPU()

template<class T >
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 
)