Giorgio Arena | 7302302 | 2018-09-04 14:55:55 +0100 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 2 | * Copyright (c) 2018-2019 ARM Limited. |
Giorgio Arena | 7302302 | 2018-09-04 14:55:55 +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 "YOLOLayer.h" |
| 25 | |
| 26 | #include "ActivationLayer.h" |
| 27 | |
| 28 | #include "arm_compute/core/Types.h" |
| 29 | #include "tests/validation/Helpers.h" |
| 30 | |
| 31 | namespace arm_compute |
| 32 | { |
| 33 | namespace test |
| 34 | { |
| 35 | namespace validation |
| 36 | { |
| 37 | namespace reference |
| 38 | { |
| 39 | template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type> |
| 40 | SimpleTensor<T> yolo_layer(const SimpleTensor<T> &src, const ActivationLayerInfo &info, int32_t num_classes) |
| 41 | { |
| 42 | // Create reference |
| 43 | SimpleTensor<T> dst{ src.shape(), src.data_type() }; |
| 44 | |
| 45 | // Compute reference |
| 46 | const T a(info.a()); |
| 47 | const T b(info.b()); |
| 48 | |
Michalis Spyrou | fae513c | 2019-10-16 17:41:33 +0100 | [diff] [blame] | 49 | const uint32_t num_elements = src.num_elements(); |
| 50 | for(uint32_t i = 0; i < num_elements; ++i) |
Giorgio Arena | 7302302 | 2018-09-04 14:55:55 +0100 | [diff] [blame] | 51 | { |
| 52 | const size_t z = index2coord(dst.shape(), i).z() % (num_classes + 5); |
| 53 | |
| 54 | if(z != 2 && z != 3) |
| 55 | { |
| 56 | dst[i] = activate_float<T>(src[i], a, b, info.activation()); |
| 57 | } |
| 58 | else |
| 59 | { |
| 60 | dst[i] = src[i]; |
| 61 | } |
| 62 | } |
| 63 | |
| 64 | return dst; |
| 65 | } |
| 66 | |
| 67 | template <> |
| 68 | SimpleTensor<uint8_t> yolo_layer<uint8_t>(const SimpleTensor<uint8_t> &src, const ActivationLayerInfo &info, int32_t num_classes) |
| 69 | { |
| 70 | SimpleTensor<float> src_tmp = convert_from_asymmetric(src); |
| 71 | SimpleTensor<float> dst_tmp = yolo_layer<float>(src_tmp, info, num_classes); |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 72 | SimpleTensor<uint8_t> dst = convert_to_asymmetric<uint8_t>(dst_tmp, src.quantization_info()); |
Giorgio Arena | 7302302 | 2018-09-04 14:55:55 +0100 | [diff] [blame] | 73 | return dst; |
| 74 | } |
| 75 | |
| 76 | template SimpleTensor<float> yolo_layer(const SimpleTensor<float> &src, const ActivationLayerInfo &info, int32_t num_classes); |
| 77 | template SimpleTensor<half> yolo_layer(const SimpleTensor<half> &src, const ActivationLayerInfo &info, int32_t num_classes); |
| 78 | } // namespace reference |
| 79 | } // namespace validation |
| 80 | } // namespace test |
| 81 | } // namespace arm_compute |