image_framework_ymj/include/open3d/ml/impl/misc/RaggedToDense.h

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2024-12-06 16:25:16 +08:00
// ----------------------------------------------------------------------------
// - Open3D: www.open3d.org -
// ----------------------------------------------------------------------------
// Copyright (c) 2018-2023 www.open3d.org
// SPDX-License-Identifier: MIT
// ----------------------------------------------------------------------------
#pragma once
#include <tbb/parallel_for.h>
namespace open3d {
namespace ml {
namespace impl {
/// Creates a dense tensor from a ragged tensor.
///
/// Example where each value has size 2:
/// values = [[0,0],[1,1],[2,2],[3,3],[4,4]]
/// row_splits = [0,2,5]
/// out_col_size=3
/// default_value=[-1,-1]
/// default_value_size = 2
///
/// will return
///
/// out_values = [[[0,0],[1,1],[-1,-1]], [[2,2],[3,3],[4,4]]]
///
///
/// \param values Linear memory with all values.
///
/// \param row_splits Defines the start and end of each entry in the ragged
/// tensor. This is an exclusive prefix sum with 0 as the first element
/// and the length of all values as the last element.
///
/// \param row_splits_size The length of the row_splits vector.
///
/// \param out_col_size The output column size. This is the second dim of
/// the dense output tensor.
///
/// \param default_value The default value to use if there are not enough
/// values for filling the row.
///
/// \param default_value_size The size of the default value.
///
/// \param out_values This is the output array. The size of the array must
/// be [row_splits_size-1, out_col_size, default_value_size].
///
template <class T>
void RaggedToDenseCPU(const T* const values,
const int64_t* const row_splits,
const size_t row_splits_size,
const size_t out_col_size,
const T* const default_value,
const size_t default_value_size,
T* out_values) {
tbb::parallel_for(
tbb::blocked_range<size_t>(0, row_splits_size - 1),
[&](const tbb::blocked_range<size_t>& r) {
for (int64_t i = r.begin(); i != r.end(); ++i) {
const int64_t start = row_splits[i];
const int64_t end = std::min(int64_t(out_col_size) + start,
row_splits[i + 1]);
T* out_ptr =
out_values + i * out_col_size * default_value_size;
std::copy(values + start * default_value_size,
values + end * default_value_size, out_ptr);
// fill remaining columns with the default value
out_ptr = out_ptr + (end - start) * default_value_size;
for (int64_t j = end - start; j < out_col_size;
++j, out_ptr += default_value_size) {
std::copy(default_value,
default_value + default_value_size, out_ptr);
}
}
});
}
} // namespace impl
} // namespace ml
} // namespace open3d