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/*
* Copyright (c) 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
* 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_NEDECONVOLUTIONLAYERKERNEL_H__
#define __ARM_COMPUTE_NEDECONVOLUTIONLAYERKERNEL_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 NEDeconvolutionLayerUpsampleKernel : public INEKernel
{
public:
/** Default constructor */
NEDeconvolutionLayerUpsampleKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEDeconvolutionLayerUpsampleKernel(const NEDeconvolutionLayerUpsampleKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEDeconvolutionLayerUpsampleKernel &operator=(const NEDeconvolutionLayerUpsampleKernel &) = delete;
/** Allow instances of this class to be moved */
NEDeconvolutionLayerUpsampleKernel(NEDeconvolutionLayerUpsampleKernel &&) = default;
/** Allow instances of this class to be moved */
NEDeconvolutionLayerUpsampleKernel &operator=(NEDeconvolutionLayerUpsampleKernel &&) = default;
/** Default destructor */
~NEDeconvolutionLayerUpsampleKernel() = default;
/** Initialise the kernel's inputs, output and interpolation policy
*
* @param[in] input Source tensor. Data types 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: F32. 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.
*/
void configure(const ITensor *input, const ITensor *offsets, ITensor *output);
// 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);
const ITensor *_offsets;
const ITensor *_input;
ITensor *_output;
};
} // arm_compute
#endif /*__ARM_COMPUTE_NEDECONVOLUTIONLAYERKERNEL_H__ */
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