| /* |
| * Copyright (c) 2018-2019 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 "YOLOLayer.h" |
| |
| #include "ActivationLayer.h" |
| |
| #include "arm_compute/core/Types.h" |
| #include "tests/validation/Helpers.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type> |
| SimpleTensor<T> yolo_layer(const SimpleTensor<T> &src, const ActivationLayerInfo &info, int32_t num_classes) |
| { |
| // Create reference |
| SimpleTensor<T> dst{ src.shape(), src.data_type() }; |
| |
| // Compute reference |
| const T a(info.a()); |
| const T b(info.b()); |
| |
| const uint32_t num_elements = src.num_elements(); |
| for(uint32_t i = 0; i < num_elements; ++i) |
| { |
| const size_t z = index2coord(dst.shape(), i).z() % (num_classes + 5); |
| |
| if(z != 2 && z != 3) |
| { |
| dst[i] = activate_float<T>(src[i], a, b, info.activation()); |
| } |
| else |
| { |
| dst[i] = src[i]; |
| } |
| } |
| |
| return dst; |
| } |
| |
| template <> |
| SimpleTensor<uint8_t> yolo_layer<uint8_t>(const SimpleTensor<uint8_t> &src, const ActivationLayerInfo &info, int32_t num_classes) |
| { |
| SimpleTensor<float> src_tmp = convert_from_asymmetric(src); |
| SimpleTensor<float> dst_tmp = yolo_layer<float>(src_tmp, info, num_classes); |
| SimpleTensor<uint8_t> dst = convert_to_asymmetric<uint8_t>(dst_tmp, src.quantization_info()); |
| return dst; |
| } |
| |
| template SimpleTensor<float> yolo_layer(const SimpleTensor<float> &src, const ActivationLayerInfo &info, int32_t num_classes); |
| template SimpleTensor<half> yolo_layer(const SimpleTensor<half> &src, const ActivationLayerInfo &info, int32_t num_classes); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |