| /* | |
| * 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 |