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/*
* Copyright (c) 2016-2021 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_NEREMAPKERNEL_H
#define ARM_COMPUTE_NEREMAPKERNEL_H
#include "arm_compute/core/Types.h"
#include "src/core/NEON/INEKernel.h"
namespace arm_compute
{
class ITensor;
/** Kernel to perform a remap on a tensor */
class NERemapKernel : public INEKernel
{
public:
const char *name() const override
{
return "NERemapKernel";
}
/** Default constructor */
NERemapKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NERemapKernel(const NERemapKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NERemapKernel &operator=(const NERemapKernel &) = delete;
/** Allow instances of this class to be moved */
NERemapKernel(NERemapKernel &&) = default;
/** Allow instances of this class to be moved */
NERemapKernel &operator=(NERemapKernel &&) = default;
/** Default destructor */
~NERemapKernel() = default;
/** Initialize the kernel's input, output and border mode.
*
* @param[in] input Source tensor. Data type supported: U8.
* @param[in] map_x Map for X coordinates. Data type supported: F32.
* @param[in] map_y Map for Y coordinates. Data type supported: F32.
* @param[out] output Destination tensor. Data types supported: U8. All but the lowest two dimensions must be the same size as in the input tensor, i.e. remapping is only performed within the XY-plane.
* @param[in] policy The interpolation type.
* @param[in] border_mode Border mode to use on the input tensor.
* @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT. Defaults to 0.
*/
void configure(const ITensor *input, const ITensor *map_x, const ITensor *map_y, ITensor *output, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value = 0);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
private:
/** function to perform nearest interpolation on the given window */
void remap_nearest(const Window &window);
/** function to perform bilinear interpolation on the given window */
void remap_bilinear(const Window &window);
/** Remap function to use for the particular interpolation type passed to configure() */
void (NERemapKernel::*_func)(const Window &window);
const ITensor *_input; /**< Input image */
ITensor *_output; /**< Output image */
const ITensor *_map_x; /**< Input remap x coordinates */
const ITensor *_map_y; /**< Input remap y coordinates */
BorderMode _border_mode; /**< Border mode */
uint8_t _constant_border_value; /**< Border value to use */
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_NEREMAPKERNEL_H */