| /* |
| * Copyright (c) 2019 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 "SpaceToDepth.h" |
| |
| #include "tests/validation/Helpers.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| // Space to Batch |
| template <typename T> |
| SimpleTensor<T> space_to_depth(const SimpleTensor<T> &src, const TensorShape &dst_shape, const int block_shape) |
| { |
| SimpleTensor<T> result(dst_shape, src.data_type()); |
| |
| const auto width_out = static_cast<int>(dst_shape[0]); |
| const auto height_out = static_cast<int>(dst_shape[1]); |
| const auto channel_out = static_cast<int>(dst_shape[2]); |
| |
| const auto width_in = static_cast<int>(src.shape()[0]); |
| const auto height_in = static_cast<int>(src.shape()[1]); |
| const auto channel_in = static_cast<int>(src.shape()[2]); |
| |
| const auto batch = static_cast<int>(src.shape()[3]); |
| |
| const auto block_width = block_shape; |
| const auto block_height = block_shape; |
| |
| int out_pos = 0; |
| for(int ba = 0; ba < batch; ++ba) |
| { |
| for(int outC = 0; outC < channel_out; ++outC) |
| { |
| unsigned int inC = outC % channel_in; |
| |
| int shift_w = (outC / channel_in) % block_width; |
| int shift_h = (outC / channel_in) / block_width; |
| |
| for(int outH = 0; outH < height_out; ++outH) |
| { |
| for(int outW = 0; outW < width_out; ++outW) |
| { |
| const auto in_pos = ((ba * channel_in + inC) * height_in + ((outH * block_height + shift_h))) * width_in + (outW * block_width + shift_w); |
| result[out_pos] = src[in_pos]; |
| ++out_pos; |
| } |
| } |
| } |
| } |
| return result; |
| } |
| |
| template SimpleTensor<float> space_to_depth(const SimpleTensor<float> &src, const TensorShape &dst_shape, const int block_shape); |
| template SimpleTensor<half> space_to_depth(const SimpleTensor<half> &src, const TensorShape &dst_shape, const int block_shape); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |