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/*
* 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_CLSCHARR3X3KERNEL_H__
#define __ARM_COMPUTE_CLSCHARR3X3KERNEL_H__
#include "arm_compute/core/CL/ICLKernel.h"
namespace arm_compute
{
class ICLTensor;
/** 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]
* @f[
* \mathbf{G}_y=\begin{vmatrix}
* -3 & -10 & -3\\
* 0 & 0 & 0\\
* +3 & +10 & +3
* \end{vmatrix}
* @f]
*/
class CLScharr3x3Kernel : public ICLKernel
{
public:
/** Default constructor: initialize all the pointers to nullptr and parameters to zero. */
CLScharr3x3Kernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLScharr3x3Kernel(const CLScharr3x3Kernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLScharr3x3Kernel &operator=(const CLScharr3x3Kernel &) = delete;
/** Allow instances of this class to be moved */
CLScharr3x3Kernel(CLScharr3x3Kernel &&) = default;
/** Allow instances of this class to be moved */
CLScharr3x3Kernel &operator=(CLScharr3x3Kernel &&) = 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 types supported: U8.
* @param[out] output_x (Optional) Destination tensor for the X gradient, Data types supported: S16.
* @param[out] output_y (Optional) Destination tensor for the Y gradient, Data types supported: S16.
* @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant.
*/
void configure(const ICLTensor *input, ICLTensor *output_x, ICLTensor *output_y, bool border_undefined);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) 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 ICLTensor *_input; /**< Input image */
ICLTensor *_output_x; /**< Output image for scharr X */
ICLTensor *_output_y; /**< Output image for scharr Y */
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_CLSCHARR3X3KERNEL_H__ */
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