85 lines
3.4 KiB
C++
85 lines
3.4 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 "ChannelShuffle.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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// Refence implementation for channel shuffle taken from https://github.com/pytorch/pytorch/blob/master/caffe2/operators/channel_shuffle_op.h
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template <typename T>
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SimpleTensor<T> channel_shuffle(const SimpleTensor<T> &src, int num_groups)
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{
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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 int M = src.shape()[0];
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const int N = src.shape()[1];
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const int num_channels = src.shape()[2];
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const int batches = src.shape()[3];
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const int MxN = M * N;
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const int channels_in_group = num_channels / num_groups;
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const T *src_ref = src.data();
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T *dst_ref = dst.data();
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#if defined(_OPENMP)
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#pragma omp parallel for collapse(2)
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#endif /* _OPENMP */
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for(int n = 0; n < batches; ++n)
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{
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for(int g = 0; g < num_groups; ++g)
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{
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// Gather the group g block (of size channels_in_group * MxN) from output channels
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// g + 0 * G, g + 1 * G, g + 2 * G, g + G * (K - 1) etc.
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const T *src_ptr = src_ref + g * channels_in_group * MxN + n * num_channels * MxN;
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T *dst_ptr = dst_ref + g * MxN + n * num_channels * MxN;
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for(int i = 0; i < channels_in_group; ++i)
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{
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std::copy(src_ptr + i * MxN,
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src_ptr + (i + 1) * MxN,
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dst_ptr + i * num_groups * MxN);
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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<uint8_t> channel_shuffle(const SimpleTensor<uint8_t> &src, int num_groups);
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template SimpleTensor<uint16_t> channel_shuffle(const SimpleTensor<uint16_t> &src, int num_groups);
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template SimpleTensor<uint32_t> channel_shuffle(const SimpleTensor<uint32_t> &src, int num_groups);
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template SimpleTensor<half> channel_shuffle(const SimpleTensor<half> &src, int num_groups);
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template SimpleTensor<float> channel_shuffle(const SimpleTensor<float> &src, int num_groups);
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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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