Manuel Bottini | 5b7d537 | 2019-05-17 14:04:22 +0100 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | d9eaf61 | 2020-07-08 11:12:57 +0100 | [diff] [blame] | 2 | * Copyright (c) 2019 Arm Limited. |
Manuel Bottini | 5b7d537 | 2019-05-17 14:04:22 +0100 | [diff] [blame] | 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #include "SpaceToDepth.h" |
| 25 | |
| 26 | #include "tests/validation/Helpers.h" |
| 27 | |
| 28 | namespace arm_compute |
| 29 | { |
| 30 | namespace test |
| 31 | { |
| 32 | namespace validation |
| 33 | { |
| 34 | namespace reference |
| 35 | { |
| 36 | // Space to Batch |
| 37 | template <typename T> |
| 38 | SimpleTensor<T> space_to_depth(const SimpleTensor<T> &src, const TensorShape &dst_shape, const int block_shape) |
| 39 | { |
| 40 | SimpleTensor<T> result(dst_shape, src.data_type()); |
| 41 | |
| 42 | const auto width_out = static_cast<int>(dst_shape[0]); |
| 43 | const auto height_out = static_cast<int>(dst_shape[1]); |
| 44 | const auto channel_out = static_cast<int>(dst_shape[2]); |
| 45 | |
| 46 | const auto width_in = static_cast<int>(src.shape()[0]); |
| 47 | const auto height_in = static_cast<int>(src.shape()[1]); |
| 48 | const auto channel_in = static_cast<int>(src.shape()[2]); |
| 49 | |
| 50 | const auto batch = static_cast<int>(src.shape()[3]); |
| 51 | |
| 52 | const auto block_width = block_shape; |
| 53 | const auto block_height = block_shape; |
| 54 | |
| 55 | int out_pos = 0; |
| 56 | for(int ba = 0; ba < batch; ++ba) |
| 57 | { |
| 58 | for(int outC = 0; outC < channel_out; ++outC) |
| 59 | { |
| 60 | unsigned int inC = outC % channel_in; |
| 61 | |
| 62 | int shift_w = (outC / channel_in) % block_width; |
| 63 | int shift_h = (outC / channel_in) / block_width; |
| 64 | |
| 65 | for(int outH = 0; outH < height_out; ++outH) |
| 66 | { |
| 67 | for(int outW = 0; outW < width_out; ++outW) |
| 68 | { |
| 69 | const auto in_pos = ((ba * channel_in + inC) * height_in + ((outH * block_height + shift_h))) * width_in + (outW * block_width + shift_w); |
| 70 | result[out_pos] = src[in_pos]; |
| 71 | ++out_pos; |
| 72 | } |
| 73 | } |
| 74 | } |
| 75 | } |
| 76 | return result; |
| 77 | } |
| 78 | |
| 79 | template SimpleTensor<float> space_to_depth(const SimpleTensor<float> &src, const TensorShape &dst_shape, const int block_shape); |
| 80 | template SimpleTensor<half> space_to_depth(const SimpleTensor<half> &src, const TensorShape &dst_shape, const int block_shape); |
| 81 | } // namespace reference |
| 82 | } // namespace validation |
| 83 | } // namespace test |
| 84 | } // namespace arm_compute |