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//*****************************************************************************
// Copyright (c) 2026, Intel Corporation
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
// - Redistributions of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
// - Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
// - Neither the name of the copyright holder nor the names of its contributors
// may be used to endorse or promote products derived from this software
// without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
// THE POSSIBILITY OF SUCH DAMAGE.
//*****************************************************************************
//
//===--------------------------------------------------------------------===//
///
/// \file
/// This file defines functions of dpctl.tensor._tensor_impl extensions
//===--------------------------------------------------------------------===//
#include <algorithm>
#include <cassert>
#include <cstddef>
#include <iterator>
#include <vector>
#include <pybind11/pybind11.h>
#include "simplify_iteration_space.hpp"
#include "utils/strided_iters.hpp"
namespace dpctl::tensor::py_internal
{
namespace py = pybind11;
void simplify_iteration_space_1(int &nd,
const py::ssize_t *const &shape,
std::vector<py::ssize_t> const &strides,
// output
std::vector<py::ssize_t> &simplified_shape,
std::vector<py::ssize_t> &simplified_strides,
py::ssize_t &offset)
{
using dpctl::tensor::strides::simplify_iteration_stride;
if (nd > 1) {
// Simplify iteration space to reduce dimensionality
// and improve access pattern
simplified_shape.reserve(nd);
simplified_shape.insert(std::end(simplified_shape), shape, shape + nd);
simplified_strides.reserve(nd);
simplified_strides.insert(std::end(simplified_strides),
std::begin(strides), std::end(strides));
assert(simplified_shape.size() == static_cast<std::size_t>(nd));
assert(simplified_strides.size() == static_cast<std::size_t>(nd));
int contracted_nd = simplify_iteration_stride(
nd, simplified_shape.data(), simplified_strides.data(),
offset // modified by reference
);
simplified_shape.resize(contracted_nd);
simplified_strides.resize(contracted_nd);
nd = contracted_nd;
}
else if (nd == 1) {
offset = 0;
// Populate vectors
simplified_shape.reserve(nd);
simplified_shape.push_back(shape[0]);
simplified_strides.reserve(nd);
simplified_strides.push_back((strides[0] >= 0) ? strides[0]
: -strides[0]);
if ((strides[0] < 0) && (shape[0] > 1)) {
offset += (shape[0] - 1) * strides[0];
}
assert(simplified_shape.size() == static_cast<std::size_t>(nd));
assert(simplified_strides.size() == static_cast<std::size_t>(nd));
}
}
void simplify_iteration_space(int &nd,
const py::ssize_t *const &shape,
std::vector<py::ssize_t> const &src_strides,
std::vector<py::ssize_t> const &dst_strides,
// output
std::vector<py::ssize_t> &simplified_shape,
std::vector<py::ssize_t> &simplified_src_strides,
std::vector<py::ssize_t> &simplified_dst_strides,
py::ssize_t &src_offset,
py::ssize_t &dst_offset)
{
using dpctl::tensor::strides::simplify_iteration_two_strides;
if (nd > 1) {
// Simplify iteration space to reduce dimensionality
// and improve access pattern
simplified_shape.reserve(nd);
simplified_shape.insert(std::begin(simplified_shape), shape,
shape + nd);
assert(simplified_shape.size() == static_cast<std::size_t>(nd));
simplified_src_strides.reserve(nd);
simplified_src_strides.insert(std::end(simplified_src_strides),
std::begin(src_strides),
std::end(src_strides));
assert(simplified_src_strides.size() == static_cast<std::size_t>(nd));
simplified_dst_strides.reserve(nd);
simplified_dst_strides.insert(std::end(simplified_dst_strides),
std::begin(dst_strides),
std::end(dst_strides));
assert(simplified_dst_strides.size() == static_cast<std::size_t>(nd));
int contracted_nd = simplify_iteration_two_strides(
nd, simplified_shape.data(), simplified_src_strides.data(),
simplified_dst_strides.data(),
src_offset, // modified by reference
dst_offset // modified by reference
);
simplified_shape.resize(contracted_nd);
simplified_src_strides.resize(contracted_nd);
simplified_dst_strides.resize(contracted_nd);
nd = contracted_nd;
}
else if (nd == 1) {
src_offset = 0;
dst_offset = 0;
// Populate vectors
simplified_shape.reserve(nd);
simplified_shape.push_back(shape[0]);
assert(simplified_shape.size() == static_cast<std::size_t>(nd));
simplified_src_strides.reserve(nd);
simplified_dst_strides.reserve(nd);
if (src_strides[0] < 0 && dst_strides[0] < 0) {
simplified_src_strides.push_back(-src_strides[0]);
simplified_dst_strides.push_back(-dst_strides[0]);
if (shape[0] > 1) {
src_offset += (shape[0] - 1) * src_strides[0];
dst_offset += (shape[0] - 1) * dst_strides[0];
}
}
else {
simplified_src_strides.push_back(src_strides[0]);
simplified_dst_strides.push_back(dst_strides[0]);
}
assert(simplified_src_strides.size() == static_cast<std::size_t>(nd));
assert(simplified_dst_strides.size() == static_cast<std::size_t>(nd));
}
}
void simplify_iteration_space_3(
int &nd,
const py::ssize_t *const &shape,
// src1
std::vector<py::ssize_t> const &src1_strides,
// src2
std::vector<py::ssize_t> const &src2_strides,
// dst
std::vector<py::ssize_t> const &dst_strides,
// output
std::vector<py::ssize_t> &simplified_shape,
std::vector<py::ssize_t> &simplified_src1_strides,
std::vector<py::ssize_t> &simplified_src2_strides,
std::vector<py::ssize_t> &simplified_dst_strides,
py::ssize_t &src1_offset,
py::ssize_t &src2_offset,
py::ssize_t &dst_offset)
{
using dpctl::tensor::strides::simplify_iteration_three_strides;
if (nd > 1) {
// Simplify iteration space to reduce dimensionality
// and improve access pattern
simplified_shape.reserve(nd);
simplified_shape.insert(std::end(simplified_shape), shape, shape + nd);
assert(simplified_shape.size() == static_cast<std::size_t>(nd));
simplified_src1_strides.reserve(nd);
simplified_src1_strides.insert(std::end(simplified_src1_strides),
std::begin(src1_strides),
std::end(src1_strides));
assert(simplified_src1_strides.size() == static_cast<std::size_t>(nd));
simplified_src2_strides.reserve(nd);
simplified_src2_strides.insert(std::end(simplified_src2_strides),
std::begin(src2_strides),
std::end(src2_strides));
assert(simplified_src2_strides.size() == static_cast<std::size_t>(nd));
simplified_dst_strides.reserve(nd);
simplified_dst_strides.insert(std::end(simplified_dst_strides),
std::begin(dst_strides),
std::end(dst_strides));
assert(simplified_dst_strides.size() == static_cast<std::size_t>(nd));
int contracted_nd = simplify_iteration_three_strides(
nd, simplified_shape.data(), simplified_src1_strides.data(),
simplified_src2_strides.data(), simplified_dst_strides.data(),
src1_offset, // modified by reference
src2_offset, // modified by reference
dst_offset // modified by reference
);
simplified_shape.resize(contracted_nd);
simplified_src1_strides.resize(contracted_nd);
simplified_src2_strides.resize(contracted_nd);
simplified_dst_strides.resize(contracted_nd);
nd = contracted_nd;
}
else if (nd == 1) {
src1_offset = 0;
src2_offset = 0;
dst_offset = 0;
// Populate vectors
simplified_shape.reserve(nd);
simplified_shape.push_back(shape[0]);
assert(simplified_shape.size() == static_cast<std::size_t>(nd));
simplified_src1_strides.reserve(nd);
simplified_src2_strides.reserve(nd);
simplified_dst_strides.reserve(nd);
if ((src1_strides[0] < 0) && (src2_strides[0] < 0) &&
(dst_strides[0] < 0)) {
simplified_src1_strides.push_back(-src1_strides[0]);
simplified_src2_strides.push_back(-src2_strides[0]);
simplified_dst_strides.push_back(-dst_strides[0]);
if (shape[0] > 1) {
src1_offset += src1_strides[0] * (shape[0] - 1);
src2_offset += src2_strides[0] * (shape[0] - 1);
dst_offset += dst_strides[0] * (shape[0] - 1);
}
}
else {
simplified_src1_strides.push_back(src1_strides[0]);
simplified_src2_strides.push_back(src2_strides[0]);
simplified_dst_strides.push_back(dst_strides[0]);
}
assert(simplified_src1_strides.size() == static_cast<std::size_t>(nd));
assert(simplified_src2_strides.size() == static_cast<std::size_t>(nd));
assert(simplified_dst_strides.size() == static_cast<std::size_t>(nd));
}
}
void simplify_iteration_space_4(
int &nd,
const py::ssize_t *const &shape,
// src1
std::vector<py::ssize_t> const &src1_strides,
// src2
std::vector<py::ssize_t> const &src2_strides,
// src3
std::vector<py::ssize_t> const &src3_strides,
// dst
std::vector<py::ssize_t> const &dst_strides,
// output
std::vector<py::ssize_t> &simplified_shape,
std::vector<py::ssize_t> &simplified_src1_strides,
std::vector<py::ssize_t> &simplified_src2_strides,
std::vector<py::ssize_t> &simplified_src3_strides,
std::vector<py::ssize_t> &simplified_dst_strides,
py::ssize_t &src1_offset,
py::ssize_t &src2_offset,
py::ssize_t &src3_offset,
py::ssize_t &dst_offset)
{
using dpctl::tensor::strides::simplify_iteration_four_strides;
if (nd > 1) {
// Simplify iteration space to reduce dimensionality
// and improve access pattern
simplified_shape.reserve(nd);
simplified_shape.insert(std::end(simplified_shape), shape, shape + nd);
assert(simplified_shape.size() == static_cast<std::size_t>(nd));
simplified_src1_strides.reserve(nd);
simplified_src1_strides.insert(std::end(simplified_src1_strides),
std::begin(src1_strides),
std::end(src1_strides));
assert(simplified_src1_strides.size() == static_cast<std::size_t>(nd));
simplified_src2_strides.reserve(nd);
simplified_src2_strides.insert(std::end(simplified_src2_strides),
std::begin(src2_strides),
std::end(src2_strides));
assert(simplified_src2_strides.size() == static_cast<std::size_t>(nd));
simplified_src3_strides.reserve(nd);
simplified_src3_strides.insert(std::end(simplified_src3_strides),
std::begin(src3_strides),
std::end(src3_strides));
assert(simplified_src3_strides.size() == static_cast<std::size_t>(nd));
simplified_dst_strides.reserve(nd);
simplified_dst_strides.insert(std::end(simplified_dst_strides),
std::begin(dst_strides),
std::end(dst_strides));
assert(simplified_dst_strides.size() == static_cast<std::size_t>(nd));
int contracted_nd = simplify_iteration_four_strides(
nd, simplified_shape.data(), simplified_src1_strides.data(),
simplified_src2_strides.data(), simplified_src3_strides.data(),
simplified_dst_strides.data(),
src1_offset, // modified by reference
src2_offset, // modified by reference
src3_offset, // modified by reference
dst_offset // modified by reference
);
simplified_shape.resize(contracted_nd);
simplified_src1_strides.resize(contracted_nd);
simplified_src2_strides.resize(contracted_nd);
simplified_src3_strides.resize(contracted_nd);
simplified_dst_strides.resize(contracted_nd);
nd = contracted_nd;
}
else if (nd == 1) {
src1_offset = 0;
src2_offset = 0;
src3_offset = 0;
dst_offset = 0;
// Populate vectors
simplified_shape.reserve(nd);
simplified_shape.push_back(shape[0]);
assert(simplified_shape.size() == static_cast<std::size_t>(nd));
simplified_src1_strides.reserve(nd);
simplified_src2_strides.reserve(nd);
simplified_src3_strides.reserve(nd);
simplified_dst_strides.reserve(nd);
if ((src1_strides[0] < 0) && (src2_strides[0] < 0) &&
(src3_strides[0] < 0) && (dst_strides[0] < 0))
{
simplified_src1_strides.push_back(-src1_strides[0]);
simplified_src2_strides.push_back(-src2_strides[0]);
simplified_src3_strides.push_back(-src3_strides[0]);
simplified_dst_strides.push_back(-dst_strides[0]);
if (shape[0] > 1) {
src1_offset += src1_strides[0] * (shape[0] - 1);
src2_offset += src2_strides[0] * (shape[0] - 1);
src3_offset += src3_strides[0] * (shape[0] - 1);
dst_offset += dst_strides[0] * (shape[0] - 1);
}
}
else {
simplified_src1_strides.push_back(src1_strides[0]);
simplified_src2_strides.push_back(src2_strides[0]);
simplified_src3_strides.push_back(src3_strides[0]);
simplified_dst_strides.push_back(dst_strides[0]);
}
assert(simplified_src1_strides.size() == static_cast<std::size_t>(nd));
assert(simplified_src2_strides.size() == static_cast<std::size_t>(nd));
assert(simplified_src3_strides.size() == static_cast<std::size_t>(nd));
assert(simplified_dst_strides.size() == static_cast<std::size_t>(nd));
}
}
void compact_iteration_space(int &nd,
const py::ssize_t *const &shape,
std::vector<py::ssize_t> const &strides,
// output
std::vector<py::ssize_t> &compact_shape,
std::vector<py::ssize_t> &compact_strides)
{
using dpctl::tensor::strides::compact_iteration;
if (nd > 1) {
// Compact iteration space to reduce dimensionality
// and improve access pattern
compact_shape.reserve(nd);
compact_shape.insert(std::begin(compact_shape), shape, shape + nd);
assert(compact_shape.size() == static_cast<std::size_t>(nd));
compact_strides.reserve(nd);
compact_strides.insert(std::end(compact_strides), std::begin(strides),
std::end(strides));
assert(compact_strides.size() == static_cast<std::size_t>(nd));
int contracted_nd =
compact_iteration(nd, compact_shape.data(), compact_strides.data());
compact_shape.resize(contracted_nd);
compact_strides.resize(contracted_nd);
nd = contracted_nd;
}
else if (nd == 1) {
// Populate vectors
compact_shape.reserve(nd);
compact_shape.push_back(shape[0]);
assert(compact_shape.size() == static_cast<std::size_t>(nd));
compact_strides.reserve(nd);
compact_strides.push_back(strides[0]);
assert(compact_strides.size() == static_cast<std::size_t>(nd));
}
}
/* @brief Split shape/strides into dir1 (complementary to axis_start <= i <
* axis_end) and dir2 (along given set of axes)
*/
void split_iteration_space(const std::vector<py::ssize_t> &shape_vec,
const std::vector<py::ssize_t> &strides_vec,
int axis_start,
int axis_end,
std::vector<py::ssize_t> &dir1_shape_vec,
std::vector<py::ssize_t> &dir2_shape_vec,
std::vector<py::ssize_t> &dir1_strides_vec,
std::vector<py::ssize_t> &dir2_strides_vec)
{
int nd = static_cast<int>(shape_vec.size());
int dir2_sz = axis_end - axis_start;
int dir1_sz = nd - dir2_sz;
assert(dir1_sz > 0);
assert(dir2_sz > 0);
dir1_shape_vec.resize(dir1_sz);
dir2_shape_vec.resize(dir2_sz);
std::copy(shape_vec.begin(), shape_vec.begin() + axis_start,
dir1_shape_vec.begin());
std::copy(shape_vec.begin() + axis_end, shape_vec.end(),
dir1_shape_vec.begin() + axis_start);
std::copy(shape_vec.begin() + axis_start, shape_vec.begin() + axis_end,
dir2_shape_vec.begin());
dir1_strides_vec.resize(dir1_sz);
dir2_strides_vec.resize(dir2_sz);
std::copy(strides_vec.begin(), strides_vec.begin() + axis_start,
dir1_strides_vec.begin());
std::copy(strides_vec.begin() + axis_end, strides_vec.end(),
dir1_strides_vec.begin() + axis_start);
std::copy(strides_vec.begin() + axis_start, strides_vec.begin() + axis_end,
dir2_strides_vec.begin());
return;
}
py::ssize_t _ravel_multi_index_c(std::vector<py::ssize_t> const &mi,
std::vector<py::ssize_t> const &shape)
{
std::size_t nd = shape.size();
if (nd != mi.size()) {
throw py::value_error(
"Multi-index and shape vectors must have the same length.");
}
py::ssize_t flat_index = 0;
py::ssize_t s = 1;
for (std::size_t i = 0; i < nd; ++i) {
flat_index += mi.at(nd - 1 - i) * s;
s *= shape.at(nd - 1 - i);
}
return flat_index;
}
py::ssize_t _ravel_multi_index_f(std::vector<py::ssize_t> const &mi,
std::vector<py::ssize_t> const &shape)
{
std::size_t nd = shape.size();
if (nd != mi.size()) {
throw py::value_error(
"Multi-index and shape vectors must have the same length.");
}
py::ssize_t flat_index = 0;
py::ssize_t s = 1;
for (std::size_t i = 0; i < nd; ++i) {
flat_index += mi.at(i) * s;
s *= shape.at(i);
}
return flat_index;
}
std::vector<py::ssize_t> _unravel_index_c(py::ssize_t flat_index,
std::vector<py::ssize_t> const &shape)
{
std::size_t nd = shape.size();
std::vector<py::ssize_t> mi;
mi.resize(nd);
py::ssize_t i_ = flat_index;
for (std::size_t dim = 0; dim + 1 < nd; ++dim) {
const py::ssize_t si = shape[nd - 1 - dim];
const py::ssize_t q = i_ / si;
const py::ssize_t r = (i_ - q * si);
mi[nd - 1 - dim] = r;
i_ = q;
}
if (nd) {
mi[0] = i_;
}
return mi;
}
std::vector<py::ssize_t> _unravel_index_f(py::ssize_t flat_index,
std::vector<py::ssize_t> const &shape)
{
std::size_t nd = shape.size();
std::vector<py::ssize_t> mi;
mi.resize(nd);
py::ssize_t i_ = flat_index;
for (std::size_t dim = 0; dim + 1 < nd; ++dim) {
const py::ssize_t si = shape[dim];
const py::ssize_t q = i_ / si;
const py::ssize_t r = (i_ - q * si);
mi[dim] = r;
i_ = q;
}
if (nd) {
mi[nd - 1] = i_;
}
return mi;
}
} // namespace dpctl::tensor::py_internal