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/*
* Copyright (c) 2018-2020 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "Reverse.h"
#include "arm_compute/core/Types.h"
#include "tests/validation/Helpers.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T>
SimpleTensor<T> reverse(const SimpleTensor<T> &src, const SimpleTensor<uint32_t> &axis)
{
ARM_COMPUTE_ERROR_ON(axis.shape().num_dimensions() > 1);
ARM_COMPUTE_ERROR_ON(axis.shape().x() > 4);
// Create reference
SimpleTensor<T> dst{ src.shape(), src.data_type(), src.num_channels(), src.quantization_info() };
const unsigned int width = src.shape()[0];
const unsigned int height = src.shape()[1];
const unsigned int depth = src.shape()[2];
const unsigned int batches = src.shape()[3];
std::array<bool, 4> to_reverse = { { false, false, false, false } };
for(int i = 0; i < axis.num_elements(); ++i)
{
to_reverse[axis[i]] = true;
}
const uint32_t num_elements = src.num_elements();
#if defined(_OPENMP)
#pragma omp parallel for
#endif /* _OPENMP */
for(uint32_t i = 0; i < num_elements; ++i)
{
const Coordinates src_coord = index2coord(src.shape(), i);
const unsigned int dst_x = to_reverse[0] ? width - src_coord[0] - 1 : src_coord[0];
const unsigned int dst_y = to_reverse[1] ? height - src_coord[1] - 1 : src_coord[1];
const unsigned int dst_z = to_reverse[2] ? depth - src_coord[2] - 1 : src_coord[2];
const unsigned int dst_w = to_reverse[3] ? batches - src_coord[3] - 1 : src_coord[3];
dst[coord2index(src.shape(), Coordinates(dst_x, dst_y, dst_z, dst_w))] = src[i];
}
return dst;
}
template SimpleTensor<uint8_t> reverse(const SimpleTensor<uint8_t> &src, const SimpleTensor<uint32_t> &axis);
template SimpleTensor<half> reverse(const SimpleTensor<half> &src, const SimpleTensor<uint32_t> &axis);
template SimpleTensor<float> reverse(const SimpleTensor<float> &src, const SimpleTensor<uint32_t> &axis);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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