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/*
* Copyright (c) 2018-2019 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_NEWIDTHCONCATENATELAYER_H__
#define __ARM_COMPUTE_NEWIDTHCONCATENATELAYER_H__
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Window.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/core/NEON/kernels/NEWidthConcatenateLayerKernel.h"
#include "arm_compute/core/utils/misc/Requires.h"
#include <memory>
#include <type_traits>
#include <vector>
namespace arm_compute
{
// Forward declarations
class ITensor;
/** Basic function to execute concatenate tensors along x axis. This function calls the following kernel:
*
* -# @ref NEWidthConcatenateLayerKernel
*
* @deprecated This function is deprecated and will be removed in release 19.08
*/
class NEWidthConcatenateLayer : public IFunction
{
public:
/** Default constructor */
NEWidthConcatenateLayer();
/** Initialise the kernel's inputs vector and output.
*
* @param[in] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
* Dimensions of all the inputs should match apart for the width which can differ.
* @param[out] output Output tensor. Data types supported: Same as @p input.
* Output tensor dimensions are the same with the inputs from the second dimension and above.
* The first dimension (width) is the sum of the input tensors' widths.
*/
void configure(std::vector<ITensor *> inputs_vector, ITensor *output);
void configure(std::vector<const ITensor *> inputs_vector, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NEWidthConcatenateLayer
*
* @param[in] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
* Dimensions of all the inputs should match apart for the width which can differ.
* @param[in] output Output tensor. Data types supported: Same as @p input.
* Output tensor dimensions are the same with the inputs from the second dimension and above.
* The first dimension (width) is the sum of the input tensors' widths.
*
* @return a status
*/
static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output);
static Status validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output);
// Inherited methods overridden:
void run() override;
private:
std::unique_ptr<NEWidthConcatenateLayerKernel[]> _concat_kernels_vector;
unsigned int _num_inputs;
template <typename TensorType, REQUIRES_TA(std::is_same<typename std::remove_cv<TensorType>::type, ITensor>::value)>
void configure_internal(std::vector<TensorType *> &&inputs_vector, ITensor *output);
template <typename TensorInfoType, REQUIRES_TA(std::is_same<typename std::remove_cv<TensorInfoType>::type, ITensorInfo>::value)>
static Status validate_internal(const std::vector<TensorInfoType *> &inputs_vector, const ITensorInfo *output);
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_NEWIDTHCONCATENATELAYER_H__ */
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