| /* |
| * Copyright (c) 2018 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 "ChannelShuffle.h" |
| |
| #include "arm_compute/core/Types.h" |
| #include "tests/validation/Helpers.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| // Refence implementation for channel shuffle taken from https://github.com/pytorch/pytorch/blob/master/caffe2/operators/channel_shuffle_op.h |
| template <typename T> |
| SimpleTensor<T> channel_shuffle(const SimpleTensor<T> &src, int num_groups) |
| { |
| // Create reference |
| SimpleTensor<T> dst{ src.shape(), src.data_type(), src.num_channels(), src.quantization_info() }; |
| |
| const int M = src.shape()[0]; |
| const int N = src.shape()[1]; |
| const int num_channels = src.shape()[2]; |
| const int batches = src.shape()[3]; |
| const int MxN = M * N; |
| const int channels_in_group = num_channels / num_groups; |
| |
| const T *src_ref = src.data(); |
| T *dst_ref = dst.data(); |
| |
| for(int n = 0; n < batches; ++n) |
| { |
| for(int g = 0; g < num_groups; ++g) |
| { |
| // Gather the group g block (of size channels_in_group * MxN) from output channels |
| // g + 0 * G, g + 1 * G, g + 2 * G, g + G * (K - 1) etc. |
| const T *src_ptr = src_ref + g * channels_in_group * MxN + n * num_channels * MxN; |
| T *dst_ptr = dst_ref + g * MxN + n * num_channels * MxN; |
| for(int i = 0; i < channels_in_group; ++i) |
| { |
| std::copy(src_ptr + i * MxN, |
| src_ptr + (i + 1) * MxN, |
| dst_ptr + i * num_groups * MxN); |
| } |
| } |
| } |
| |
| return dst; |
| } |
| |
| template SimpleTensor<uint8_t> channel_shuffle(const SimpleTensor<uint8_t> &src, int num_groups); |
| template SimpleTensor<uint16_t> channel_shuffle(const SimpleTensor<uint16_t> &src, int num_groups); |
| template SimpleTensor<uint32_t> channel_shuffle(const SimpleTensor<uint32_t> &src, int num_groups); |
| template SimpleTensor<half> channel_shuffle(const SimpleTensor<half> &src, int num_groups); |
| template SimpleTensor<float> channel_shuffle(const SimpleTensor<float> &src, int num_groups); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |