1 /* 2 * Copyright (c) 2018-2020 Arm Limited. 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 #ifndef ARM_COMPUTE_CLYOLOLAYERKERNEL_H 25 #define ARM_COMPUTE_CLYOLOLAYERKERNEL_H 26 27 #include "src/core/CL/ICLKernel.h" 28 29 namespace arm_compute 30 { 31 class ICLTensor; 32 33 /** Interface for the YOLO layer kernel that performs partial activation. 34 * For each box, activate only: 35 * - x and y position (channel 0 and 1 of each box) 36 * - objectiveness (channel 4 of each box) 37 * - classes (channel 5 to (classes - 5) of each box) 38 */ 39 class CLYOLOLayerKernel : public ICLKernel 40 { 41 public: 42 /** Default constructor */ 43 CLYOLOLayerKernel(); 44 /** Prevent instances of this class from being copied (As this class contains pointers) */ 45 CLYOLOLayerKernel(const CLYOLOLayerKernel &) = delete; 46 /** Prevent instances of this class from being copied (As this class contains pointers) */ 47 CLYOLOLayerKernel &operator=(const CLYOLOLayerKernel &) = delete; 48 /** Allow instances of this class to be moved */ 49 CLYOLOLayerKernel(CLYOLOLayerKernel &&) = default; 50 /** Allow instances of this class to be moved */ 51 CLYOLOLayerKernel &operator=(CLYOLOLayerKernel &&) = default; 52 /** Default destructor */ 53 ~CLYOLOLayerKernel() = default; 54 /** Set the input and output tensor. 55 * 56 * @note If the output tensor is a nullptr, the activation function will be performed in-place 57 * 58 * @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result 59 * of the activation function. Data types supported: F16/F32. 60 * @param[out] output Destination tensor. Data type supported: same as @p input 61 * @param[in] act_info Activation layer information. 62 * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) 63 */ 64 void configure(ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes); 65 /** Set the input and output tensor. 66 * 67 * @note If the output tensor is a nullptr, the activation function will be performed in-place 68 * 69 * @param[in] compile_context The compile context to be used. 70 * @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result 71 * of the activation function. Data types supported: F16/F32. 72 * @param[out] output Destination tensor. Data type supported: same as @p input 73 * @param[in] act_info Activation layer information. 74 * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) 75 */ 76 void configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes); 77 /** Static function to check if given info will lead to a valid configuration of @ref CLYOLOLayerKernel 78 * 79 * @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result 80 * of the activation function. Data types supported: F16/F32. 81 * @param[in] output Destination tensor info. Data type supported: same as @p input 82 * @param[in] act_info Activation layer information. 83 * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) 84 * 85 * @return a status 86 */ 87 static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes); 88 89 // Inherited methods overridden: 90 void run(const Window &window, cl::CommandQueue &queue) override; 91 92 private: 93 ICLTensor *_input; 94 ICLTensor *_output; 95 bool _run_in_place; 96 }; 97 } // namespace arm_compute 98 #endif /*ARM_COMPUTE_CLYOLOLAYERKERNEL_H */ 99