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/*
* Copyright (c) 2016-2020 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_NESCALEKERNEL_H
#define ARM_COMPUTE_NESCALEKERNEL_H
#include "arm_compute/core/KernelDescriptors.h"
#include "arm_compute/core/NEON/INEKernel.h"
namespace arm_compute
{
class ITensor;
/** NEON kernel to perform scaling on a tensor */
class NEScaleKernel : public INEKernel
{
public:
const char *name() const override
{
return "NEScaleKernel";
}
/** 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
* @note Using @p policy Area only supports data layout NCHW and input data type U8.
*
* @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/U8/S16/F16/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] info @ref ScaleKernelInfo to use for configuration
*/
void configure(const ITensor *input, const ITensor *dx, const ITensor *dy, const ITensor *offsets, ITensor *output,
const ScaleKernelInfo &info);
/** Static function to check if given info will lead to a valid configuration of @ref NEScaleKernel
*
* @note dx, dy and offsets have the same dimensions (width and height) of the output tensor
* @note Using @p policy Area only supports data layout NCHW and input data type U8.
*
* @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/U8/S16/F16/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[in] 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] info @ref ScaleKernelInfo to use for validation
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *dx, const ITensorInfo *dy, const ITensorInfo *offsets, ITensorInfo *output,
const ScaleKernelInfo &info);
// 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_nchw(const Window &window);
/** function to perform scale using bilinear interpolation on the given window */
void scale_bilinear_nchw(const Window &window);
/** function to perform scale using area interpolation on the given window
*
* @note Used only in case down-sampling.
*/
void scale_area_nchw(const Window &window);
/** function to perform scale on the given window */
void scale_nhwc(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;
InterpolationPolicy _policy;
BorderSize _border_size;
BorderMode _border_mode;
PixelValue _constant_border_value;
float _sampling_offset;
bool _use_padding;
bool _align_corners;
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_NESCALEKERNEL_H */
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