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/*
* Copyright (c) 2019-2020 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_NESPACETOBATCHLAYERKERNEL_H
#define ARM_COMPUTE_NESPACETOBATCHLAYERKERNEL_H
#include "arm_compute/core/NEON/INEKernel.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
// Forward declaration
class ITensor;
/** Interface for the space to batch kernel */
class NESpaceToBatchLayerKernel : public INEKernel
{
public:
const char *name() const override
{
return "NESpaceToBatchLayerKernel";
}
/** Default constructor */
NESpaceToBatchLayerKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NESpaceToBatchLayerKernel(const NESpaceToBatchLayerKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NESpaceToBatchLayerKernel &operator=(const NESpaceToBatchLayerKernel &) = delete;
/** Allow instances of this class to be moved */
NESpaceToBatchLayerKernel(NESpaceToBatchLayerKernel &&) = default;
/** Allow instances of this class to be moved */
NESpaceToBatchLayerKernel &operator=(NESpaceToBatchLayerKernel &&) = default;
/** Default destructor */
~NESpaceToBatchLayerKernel() = default;
/** Initialise the kernel's inputs and output.
*
* @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
* @param[in] block_shape 1-D tensor with shape [M]. Data types supported: S32
* @param[in] paddings 2-D tensor with shape [2, M]. Data types supported: S32
* @param[out] output Tensor output. Data types supported: same as @p input
*/
void configure(const ITensor *input, const ITensor *block_shape, const ITensor *paddings, ITensor *output);
/** Initialise the kernel's input and output. (Static block shape and paddings)
*
* @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
* @param[in] block_shape_x Block shape x value.
* @param[in] block_shape_y Block shape y value.
* @param[in] padding_left The left padding of the output tensor.
* @param[in] padding_right The right padding of the output tensor.
* @param[out] output Tensor output. Data types supported: same as @p input
*/
void configure(const ITensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NESpaceToBatchLayerKernel
*
* @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
* @param[in] block_shape 1-D tensor with shape [M]. Data types supported: S32
* @param[in] paddings 2-D tensor with shape [2, M]. Data types supported: S32
* @param[in] output Tensor output. Data types supported: same as @p input
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output);
/** Static function to check if given info will lead to a valid configuration of @ref NESpaceToBatchLayerKernel (Static block shape and paddings)
*
* @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
* @param[in] block_shape_x Block shape x value.
* @param[in] block_shape_y Block shape y value.
* @param[in] padding_left The left padding of the output tensor.
* @param[in] padding_right The right padding of the output tensor.
* @param[in] output Tensor output. Data types supported: same as @p input
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, const ITensorInfo *output);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
private:
const ITensor *_input; /**< Source tensor */
const ITensor *_block_shape; /**< Block shape tensor */
const ITensor *_paddings; /**< Paddings tensor */
ITensor *_output; /**< Destination tensor */
DataLayout _data_layout; /**< Data layout to be used at run-time */
Size2D _padding_left;
int _block_shape_x;
int _block_shape_y;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NESPACETOBATCHLAYERKERNEL_H */
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