Open3D (C++ API)  0.18.0+252c867
Namespaces | Macros | Functions
SparseConvTranspose.h File Reference

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

#include <tbb/parallel_for.h>
#include <Eigen/Core>

Go to the source code of this file.

Namespaces

 open3d
 
 open3d::ml
 
 open3d::ml::impl
 

Macros

#define FN_PARAMETERS
 
#define CALL_TEMPLATE(NORMALIZE)
 
#define CALL_TEMPLATE2
 

Functions

template<class TFeat , class TOut , class TIndex , class TKernelIndex , bool NORMALIZE>
void open3d::ml::impl::_SparseConvTransposeComputeFeaturesCPU (TOut *out_features, const std::vector< int > &filter_dims, const TFeat *filter, size_t num_out, const TFeat *out_importance, size_t num_inp, const TFeat *inp_features, const TFeat *inp_neighbors_importance_sum, const int64_t *inp_neighbors_row_splits, const TIndex *neighbor_index, const TKernelIndex *neighbors_kernel_index, const TFeat *neighbor_importance, const int64_t *neighbors_row_splits)
 
template<class TFeat , class TOut , class TIndex , class TKernelIndex >
void open3d::ml::impl::SparseConvTransposeComputeFeaturesCPU (TOut *out_features, const std::vector< int > &filter_dims, const TFeat *filter, size_t num_out, const TFeat *out_importance, size_t num_inp, const TFeat *inp_features, const TFeat *inp_neighbors_importance_sum, const int64_t *inp_neighbors_row_splits, const TIndex *neighbor_index, const TKernelIndex *neighbors_kernel_index, const TFeat *neighbor_importance, const int64_t *neighbors_row_splits, bool normalize)
 

Macro Definition Documentation

◆ CALL_TEMPLATE

#define CALL_TEMPLATE (   NORMALIZE)
Value:
if (NORMALIZE == normalize) \
_SparseConvTransposeComputeFeaturesCPU<TFeat, TOut, TIndex, \
TKernelIndex, NORMALIZE>( \
FN_PARAMETERS);

◆ CALL_TEMPLATE2

#define CALL_TEMPLATE2
Value:
CALL_TEMPLATE(true) \
CALL_TEMPLATE(false)
#define CALL_TEMPLATE(NORMALIZE)

◆ FN_PARAMETERS

#define FN_PARAMETERS
Value:
out_features, filter_dims, filter, num_out, out_importance, num_inp, \
inp_features, inp_neighbors_importance_sum, \
inp_neighbors_row_splits, neighbor_index, neighbors_kernel_index, \
neighbor_importance, neighbors_row_splits