91 lines
3.3 KiB
C++
91 lines
3.3 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 "ReorgLayer.h"
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#include "arm_compute/core/Types.h"
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#include "arm_compute/core/utils/misc/ShapeCalculator.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> reorg_layer(const SimpleTensor<T> &src, int32_t stride)
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{
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ARM_COMPUTE_ERROR_ON(src.shape().num_dimensions() > 4);
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ARM_COMPUTE_ERROR_ON(src.data_layout() != DataLayout::NCHW);
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TensorInfo input_info(src.shape(), 1, src.data_type());
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const TensorShape output_shape = misc::shape_calculator::compute_reorg_output_shape(input_info, stride);
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// Create destination tensor
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SimpleTensor<T> dst{ output_shape, src.data_type() };
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const unsigned int W = dst.shape().x();
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const unsigned int H = dst.shape().y();
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const unsigned int C = dst.shape().z();
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const unsigned int out_c = C / (stride * stride);
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const unsigned int outer_dims = dst.shape().total_size() / (W * H * C);
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// Calculate layer reorg in NCHW
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Coordinates map_coords;
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#if defined(_OPENMP)
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#pragma omp parallel for private(map_coords)
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#endif /* _OPENMP */
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for(unsigned int b = 0; b < outer_dims; ++b)
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{
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map_coords.set(3, b);
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for(unsigned int c = 0; c < C; ++c)
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{
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map_coords.set(2, c % out_c);
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const unsigned int offset = c / out_c;
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for(unsigned int h = 0; h < H; ++h)
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{
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map_coords.set(1, h * stride + offset / stride);
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for(unsigned int w = 0; w < W; ++w)
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{
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const unsigned int dst_idx = w + W * (h + H * (c + C * b));
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map_coords.set(0, w * stride + offset % stride);
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dst[dst_idx] = *reinterpret_cast<const T *>(src(map_coords));
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}
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}
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}
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}
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return dst;
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}
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template SimpleTensor<int32_t> reorg_layer(const SimpleTensor<int32_t> &src, int32_t stride);
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template SimpleTensor<int16_t> reorg_layer(const SimpleTensor<int16_t> &src, int32_t stride);
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template SimpleTensor<int8_t> reorg_layer(const SimpleTensor<int8_t> &src, int32_t stride);
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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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