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/*
* Copyright (c) 2017-2022 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_CPU_COL2IM_KERNEL_H
#define ARM_COMPUTE_CPU_COL2IM_KERNEL_H
#include "arm_compute/core/Size2D.h"
#include "src/core/common/Macros.h"
#include "src/cpu/ICpuKernel.h"
namespace arm_compute
{
namespace cpu
{
namespace kernels
{
/** Kernel to perform col2im reshaping.
*
* Rearranges each matrix column into image blocks. It's the inverse operation of @ref CpuIm2ColKernel.
*
* For example, a vector of 9 elements can be reshaped to a block(image) of 3x3:
*
* @f[
* \left( \begin{array}{ccccccccc}
* a0 & a1 & a2 & a3 & a4 & a5 & a6 & a7 & a8 \\
* \end{array} \right)
* \rightarrow
* \left( \begin{array}{ccc}
* a0 & a1 & a2 \\
* a3 & a4 & a5 \\
* a6 & a7 & a8 \\
* \end{array} \right)
* @f]
*/
class CpuCol2ImKernel : public ICpuKernel<CpuCol2ImKernel>
{
public:
/** Default constructor */
CpuCol2ImKernel() = default;
ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuCol2ImKernel);
/** Set the input and output of the kernel.
*
* @param[in] src The input tensor info to convert. Data types supported: All
* @param[out] dst The output tensor info. 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 ITensorInfo *src, ITensorInfo *dst, const Size2D &convolved_dims);
/** Static function to check if given info will lead to a valid configuration
*
* Similar to CpuCol2ImKernel::configure()
*
* @return a status
*/
static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const Size2D &convolved_dims);
// Inherited methods overridden:
void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
const char *name() const override;
private:
Size2D _convolved_dims{};
};
} // namespace kernels
} // namespace cpu
} // namespace arm_compute
#endif /*ARM_COMPUTE_CPU_COL2IM_KERNEL_H */
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