| /* |
| * Copyright (c) 2016-2018 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_NESCHARR3x3KERNEL_H__ |
| #define __ARM_COMPUTE_NESCHARR3x3KERNEL_H__ |
| |
| #include "arm_compute/core/NEON/INEKernel.h" |
| |
| namespace arm_compute |
| { |
| class ITensor; |
| |
| /** Interface for the kernel to run a 3x3 Scharr filter on a tensor. |
| * |
| * @f[ |
| * \mathbf{G}_x=\begin{vmatrix} |
| * -3 & 0 & +3\\ |
| * -10& 0 & +10\\ |
| * -3 & 0 & +3 |
| * \end{vmatrix} |
| * @f] |
| */ |
| class NEScharr3x3Kernel : public INEKernel |
| { |
| public: |
| const char *name() const override |
| { |
| return "NEScharr3x3Kernel"; |
| } |
| /** Default constructor */ |
| NEScharr3x3Kernel(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEScharr3x3Kernel(const NEScharr3x3Kernel &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEScharr3x3Kernel &operator=(const NEScharr3x3Kernel &) = delete; |
| /** Allow instances of this class to be moved */ |
| NEScharr3x3Kernel(NEScharr3x3Kernel &&) = default; |
| /** Allow instances of this class to be moved */ |
| NEScharr3x3Kernel &operator=(NEScharr3x3Kernel &&) = default; |
| /** Default destructor */ |
| ~NEScharr3x3Kernel() = default; |
| |
| /** Initialise the kernel's source, destination and border. |
| * |
| * @note At least one of output_x or output_y must be set. |
| * |
| * @param[in] input Source tensor. Data type supported: U8. |
| * @param[out] output_x (Optional) Destination tensor for the X gradient. Data type supported: S16. |
| * @param[out] output_y (Optional) Destination tensor for the Y gradient. Data type supported: S16. |
| * @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant. |
| */ |
| void configure(const ITensor *input, ITensor *output_x, ITensor *output_y, bool border_undefined); |
| |
| // Inherited methods overridden: |
| void run(const Window &window, const ThreadInfo &info) override; |
| BorderSize border_size() const override; |
| |
| private: |
| bool _run_scharr_x; /**< Do we need to run Scharr X ? */ |
| bool _run_scharr_y; /**< Do we need to run Scharr Y ? */ |
| const ITensor *_input; /**< Input tensor */ |
| ITensor *_output_x; /**< Output tensor for scharr X */ |
| ITensor *_output_y; /**< Output tensor for scharr Y */ |
| }; |
| } // namespace arm_compute |
| #endif /*__ARM_COMPUTE_NESCHARR3x3KERNEL_H__ */ |