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/*
* Copyright (c) 2017-2019 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_NECOL2IM_H
#define ARM_COMPUTE_NECOL2IM_H
#include "arm_compute/runtime/NEON/INESimpleFunctionNoBorder.h"
#include "arm_compute/core/Size2D.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
class ITensor;
/** Basic function to run @ref NECol2Im */
class NECol2Im : public INESimpleFunctionNoBorder
{
public:
/** Configure the col2im NEON kernel
*
* @param[in] input The input tensor to convert. Data types supported: All
* @param[out] output The output tensor. 3 lower dimensions represent a single output [width, height, OFM],
* while the rest represent batch of outputs. Data types supported: Same as @p input
* @param[in] convolved_dims Output convolved dimensions.
*/
void configure(const ITensor *input, ITensor *output, const Size2D &convolved_dims);
/** Static function to check if given info will lead to a valid configuration of @ref NECol2Im
*
* @param[in] input The input tensor to convert. Data types supported: All
* @param[in] output The output tensor. 3 lower dimensions represent a single output [width, height, OFM],
* while the rest represent batch of outputs. Data types supported: Same as @p input
* @param[in] convolved_dims Output convolved dimensions.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &convolved_dims);
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NECOL2IM_H */
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