| /* |
| * Copyright (c) 2018-2020 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. |
| */ |
| #ifndef ARM_COMPUTE_NEYOLOLAYERKERNEL_H |
| #define ARM_COMPUTE_NEYOLOLAYERKERNEL_H |
| |
| #include "arm_compute/core/NEON/INEKernel.h" |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| |
| /** Interface for the YOLO layer kernel. */ |
| class NEYOLOLayerKernel : public INEKernel |
| { |
| public: |
| const char *name() const override |
| { |
| return "NEYOLOLayerKernel"; |
| } |
| /** Constructor */ |
| NEYOLOLayerKernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEYOLOLayerKernel(const NEYOLOLayerKernel &) = delete; |
| /** Default move constructor */ |
| NEYOLOLayerKernel(NEYOLOLayerKernel &&) = default; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEYOLOLayerKernel &operator=(const NEYOLOLayerKernel &) = delete; |
| /** Default move assignment operator */ |
| NEYOLOLayerKernel &operator=(NEYOLOLayerKernel &&) = default; |
| /** Default destructor */ |
| ~NEYOLOLayerKernel() = default; |
| /** Set the input and output tensor. |
| * |
| * @note If the output tensor is a nullptr or is equal to the input, the activation function will be performed in-place |
| * |
| * @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result |
| * of the activation function. Data types supported: F16/F32. |
| * @param[out] output Destination tensor. Data type supported: same as @p input |
| * @param[in] act_info Activation layer parameters. |
| * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) |
| */ |
| void configure(ITensor *input, ITensor *output, const ActivationLayerInfo &act_info, int32_t num_classes); |
| /** Static function to check if given info will lead to a valid configuration of @ref NEYOLOLayerKernel |
| * |
| * @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result |
| * of the activation function. Data types supported: F16/F32. |
| * @param[in] output Destination tensor info. Data type supported: same as @p input |
| * @param[in] act_info Activation layer information. |
| * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) |
| * |
| * @return a status |
| */ |
| static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, const ThreadInfo &info) override; |
| |
| private: |
| /** Function to run YOLO layer |
| * |
| * @param[in] window Region on which to execute the kernel. |
| */ |
| template <typename T, int S> |
| void yolo_layer_nchw(const Window &window); |
| /** Function to run YOLO layer on tensors with NHWC format |
| * |
| * @param[in] window Region on which to execute the kernel. |
| */ |
| template <typename T> |
| void yolo_layer_nhwc(const Window &window); |
| /** Common signature for all the yolo layer functions |
| * |
| * @param[in] window Region on which to execute the kernel. |
| */ |
| using YOLOFunctionPtr = void (NEYOLOLayerKernel::*)(const Window &window); |
| |
| private: |
| YOLOFunctionPtr _func; |
| ITensor *_input; |
| ITensor *_output; |
| ActivationLayerInfo _act_info; |
| int32_t _num_classes; |
| }; |
| } // namespace arm_compute |
| #endif /*ARM_COMPUTE_NEYOLOLAYERKERNEL_H */ |