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/*
* Copyright (c) 2018-2020 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_CLSPACETOBATCHLAYER_H
#define ARM_COMPUTE_CLSPACETOBATCHLAYER_H
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/IFunction.h"
#include <memory>
namespace arm_compute
{
class CLCompileContext;
class CLMemsetKernel;
class CLSpaceToBatchLayerKernel;
class ICLTensor;
class ITensorInfo;
/** Basic function to spatial divide a tensor. This function calls the following OpenCL kernels/functions:
*
* -# @ref CLMemsetKernel
* -# @ref CLSpaceToBatchLayerKernel
*/
class CLSpaceToBatchLayer : public IFunction
{
public:
/** Default constructor */
CLSpaceToBatchLayer();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLSpaceToBatchLayer(const CLSpaceToBatchLayer &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLSpaceToBatchLayer &operator=(const CLSpaceToBatchLayer &) = delete;
/** Allow instances of this class to be moved */
CLSpaceToBatchLayer(CLSpaceToBatchLayer &&) = default;
/** Allow instances of this class to be moved */
CLSpaceToBatchLayer &operator=(CLSpaceToBatchLayer &&) = default;
/** Default destructor */
~CLSpaceToBatchLayer();
/** Set the input and output tensors.
*
* @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
* @param[in] block_shape 1-D tensor with shape [M]. Supported M: 2. Data types supported: S32
* @param[in] paddings 2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32
* @param[out] output Tensor output. Data types supported: same as @p input
*/
void configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output);
/** Set the input and output tensors.
*
* @param[in] compile_context The compile context to be used.
* @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
* @param[in] block_shape 1-D tensor with shape [M]. Supported M: 2. Data types supported: S32
* @param[in] paddings 2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32
* @param[out] output Tensor output. Data types supported: same as @p input
*/
void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output);
/** Set the input and output tensors. (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 padding at the beginning of every dimension of the output tensor.
* @param[in] padding_right The padding at the end of every dimension of the output tensor.
* @param[out] output Tensor output. Data types supported: same as @p input
*/
void configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output);
/** Set the input and output tensors. (Static block shape and paddings)
*
* @param[in] compile_context The compile context to be used.
* @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 padding at the beginning of every dimension of the output tensor.
* @param[in] padding_right The padding at the end of every dimension of the output tensor.
* @param[out] output Tensor output. Data types supported: same as @p input
*/
void configure(const CLCompileContext &compile_context, const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right,
ICLTensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToBatchLayer
*
* @param[in] input Tensor input info. Supported tensor rank: 4. Data types supported: All.
* @param[in] block_shape block shape tensor info with shape [M]. Supported M: 2. Data types supported: S32
* @param[in] paddings paddings tensor info with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32
* @param[out] output Tensor output info. 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 CLSpaceToBatchLayer (Static block shape and paddings)
*
* @param[in] input Tensor input info. 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 padding at the beginning of every dimension of the output tensor.
* @param[in] padding_right The padding at the end of every dimension of the output tensor.
* @param[out] output Tensor output info. 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() override;
private:
std::unique_ptr<CLSpaceToBatchLayerKernel> _space_to_batch_kernel; /**< SpaceToBatch kernel to run */
std::unique_ptr<CLMemsetKernel> _memset_kernel; /**< Memset kernel to run */
bool _has_padding; /**< Flag to check if the output has padding */
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_CLSPACETOBATCHLAYER_H */
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