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/*
* Copyright (c) 2016-2019 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.
*/
#ifndef ARM_COMPUTE_NEDERIVATIVEKERNEL_H
#define ARM_COMPUTE_NEDERIVATIVEKERNEL_H
#include "arm_compute/core/NEON/INEKernel.h"
namespace arm_compute
{
class ITensor;
/** Interface for the kernel to run the derivative along the X/Y directions on a tensor.
*
*/
class NEDerivativeKernel : public INEKernel
{
public:
const char *name() const override
{
return "NEDerivativeKernel";
}
/** Default constructor */
NEDerivativeKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEDerivativeKernel(const NEDerivativeKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEDerivativeKernel &operator=(const NEDerivativeKernel &) = delete;
/** Allow instances of this class to be moved */
NEDerivativeKernel(NEDerivativeKernel &&) = default;
/** Allow instances of this class to be moved */
NEDerivativeKernel &operator=(NEDerivativeKernel &&) = default;
/** Initialise the kernel's sources, 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:
/** Function to perform derivative along the X direction on the given window
*
* @param[in] window Region on which to execute the kernel
*/
void derivative_x(const Window &window);
/** Function to perform derivative along the Y direction on the given window
*
* @param[in] window Region on which to execute the kernel
*/
void derivative_y(const Window &window);
/** Function to perform derivative along the X and Y direction on the given window
*
* @param[in] window Region on which to execute the kernel
*/
void derivative_xy(const Window &window);
/** Common signature for all the specialised derivative functions
*
* @param[in] window Region on which to execute the kernel.
*/
using DerivativeFunction = void (NEDerivativeKernel::*)(const Window &window);
/** Derivative function to use for the particular tensor types passed to configure() */
DerivativeFunction _func;
private:
const ITensor *_input; /**< Input tensor */
ITensor *_output_x; /**< Output tensor - Derivate along the X direction */
ITensor *_output_y; /**< Output tensor - Derivate along the Y direction */
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NEDERIVATIVEKERNEL_H */
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