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/*
* Copyright (c) 2017-2020 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_NEROIPOOLINGLAYER_H
#define ARM_COMPUTE_NEROIPOOLINGLAYER_H
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/core/IArray.h"
#include <memory>
namespace arm_compute
{
class ITensor;
class NEROIPoolingLayerKernel;
class ROIPoolingLayerInfo;
/** Basic function to run @ref NEROIPoolingLayerKernel.
*
* This function calls the following NEON kernels:
* -# @ref NEROIPoolingLayerKernel
*
*/
class NEROIPoolingLayer : public IFunction
{
public:
/** Constructor */
NEROIPoolingLayer();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEROIPoolingLayer(const NEROIPoolingLayer &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEROIPoolingLayer &operator=(const NEROIPoolingLayer &) = delete;
/** Prevent instances of this class from being moved (As this class contains non movable objects) */
NEROIPoolingLayer(NEROIPoolingLayer &&) = delete;
/** Prevent instances of this class from being moved (As this class contains non movable objects) */
NEROIPoolingLayer &operator=(NEROIPoolingLayer &&) = delete;
/** Default destructor */
~NEROIPoolingLayer();
/** Set the input and output tensors.
*
* @param[in] input Source tensor. Data types supported: F32.
* @param[in] rois ROIs tensor, it is a 2D tensor of size [5, N] (where N is the number of ROIs) containing top left and bottom right corner
* as coordinate of an image and batch_id of ROI [ batch_id, x1, y1, x2, y2 ]. Data types supported: U16
* @param[out] output Destination tensor. Data types supported: Same as @p input.
* @param[in] pool_info Contains pooling operation information described in @ref ROIPoolingLayerInfo.
*
* @note The x and y dimensions of @p output tensor must be the same as that specified by @p pool_info 's pooled
* width and pooled height.
* @note The z dimensions of @p output tensor and @p input tensor must be the same.
* @note The fourth dimension of @p output tensor must be the same as the number of elements in @p rois array.
*/
void configure(const ITensor *input, const ITensor *rois, ITensor *output, const ROIPoolingLayerInfo &pool_info);
// Inherited methods overridden:
void run() override;
private:
std::unique_ptr<NEROIPoolingLayerKernel> _roi_kernel;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NEROIPOOLINGLAYER_H */