#include <tbb/parallel_for.h>
#include <Eigen/Core>
Go to the source code of this file.
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| template<class TFeat, class TOut, class TIndex, class TKernelIndex, bool POINT_IMPORTANCE> |
| void | open3d::ml::impl::_SparseConvComputeFeaturesCPU (TOut *out_features, const std::vector< int > &filter_dims, const TFeat *filter, size_t num_out, size_t num_inp, const TFeat *inp_features, const TFeat *inp_importance, size_t neighbors_index_size, const TIndex *neighbors_index, const TKernelIndex *neighbors_kernel_index, const TFeat *neighbors_importance, const int64_t *neighbors_row_splits, bool normalize) |
| template<class TFeat, class TOut, class TIndex, class TKernelIndex> |
| void | open3d::ml::impl::SparseConvComputeFeaturesCPU (TOut *out_features, const std::vector< int > &filter_dims, const TFeat *filter, size_t num_out, size_t num_inp, const TFeat *inp_features, const TFeat *inp_importance, size_t neighbors_index_size, const TIndex *neighbors_index, const TKernelIndex *neighbors_kernel_index, const TFeat *neighbors_importance, const int64_t *neighbors_row_splits, bool normalize) |
◆ CALL_TEMPLATE
| #define CALL_TEMPLATE |
( |
| HAS_IMPORTANCE | ) |
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Value: if (HAS_IMPORTANCE == has_importance) \
_SparseConvComputeFeaturesCPU<TFeat, TOut, TIndex, TKernelIndex, \
◆ CALL_TEMPLATE2
Value:
CALL_TEMPLATE(false)
#define CALL_TEMPLATE(METRIC, IGNORE_QUERY_POINT, RETURN_DISTANCES)
◆ FN_PARAMETERS
Value: out_features, filter_dims, filter, num_out, num_inp, inp_features, \
inp_importance, neighbors_index_size, neighbors_index, \
neighbors_kernel_index, neighbors_importance, \
neighbors_row_splits, normalize