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