arm_compute/core/NEON/kernels/NEScaleKernel.h

/*
 * Copyright (c) 2016, 2017 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
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 * SOFTWARE.
 */
#ifndef __ARM_COMPUTE_NESCALEKERNEL_H__
#define __ARM_COMPUTE_NESCALEKERNEL_H__

#include "arm_compute/core/NEON/INEKernel.h"
#include "arm_compute/core/Types.h"

namespace arm_compute
{
class ITensor;

/** NEON kernel to perform scaling on a tensor */
class NEScaleKernel : public INEKernel
{
public:
    /** Default constructor */
    NEScaleKernel();
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    NEScaleKernel(const NEScaleKernel &) = delete;
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    NEScaleKernel &operator=(const NEScaleKernel &) = delete;
    /** Allow instances of this class to be moved */
    NEScaleKernel(NEScaleKernel &&) = default;
    /** Allow instances of this class to be moved */
    NEScaleKernel &operator=(NEScaleKernel &&) = default;
    /** Default destructor */
    ~NEScaleKernel() = default;

    /** Initialise the kernel's inputs, output and interpolation policy
     *
     * @note dx, dy and offsets have the same dimensions (width and height) of the output tensor
     *
     * @param[in]  input            Source tensor. Data types supported: U8/S16/F32.
     * @param[in]  dx               Pixel's distance between the X real coordinate and the smallest X following integer. Data type supported: F32
     * @param[in]  dy               Pixel's distance between the Y real coordinate and the smallest Y following integer. Data type supported: F32
     * @param[in]  offsets          Offset to access the pixel with NEAREST interpolation or the top-left pixel with BILINEAR interpolation in the input tensor. Data type supported: S32.
     * @param[out] output           Destination tensor. Data types supported: Same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
     * @param[in]  policy           Interpolation type to use
     * @param[in]  border_undefined True if the border mode is undefined. False if it's replicate or constant.
     */
    void configure(const ITensor *input, const ITensor *dx, const ITensor *dy, const ITensor *offsets, ITensor *output, InterpolationPolicy policy, bool border_undefined);

    // Inherited methods overridden:
    void run(const Window &window, const ThreadInfo &info) override;
    BorderSize border_size() const override;

private:
    /** function to perform scale using nearest interpolation on the given window */
    void scale_nearest(const Window &window);
    /** function to perform scale using bilinear interpolation on the given window */
    void scale_bilinear(const Window &window);
    /** function to perform scale using area interpolation on the given window
     *
     *  @note Used only in case down-sampling.
     */
    void scale_area(const Window &window);
    /** Scale function to use for the particular interpolation type passed to configure() */
    void (NEScaleKernel::*_func)(const Window &window);

    const ITensor *_offsets;
    const ITensor *_dx;
    const ITensor *_dy;
    const ITensor *_input;
    ITensor       *_output;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_NESCALEKERNEL_H__ */