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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_NECONCATENATELAYER_H
#define ARM_COMPUTE_NECONCATENATELAYER_H
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/core/NEON/INEKernel.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/Requires.h"
#include <memory>
#include <vector>
namespace arm_compute
{
// Forward declarations
class ITensor;
class ITensorInfo;
class Status;
/** Basic function to execute concatenate tensors along a given axis. This function calls the following kernels:
*
* -# @ref NEWidthConcatenateLayerKernel (if underlying concatenation axis is 0).
* -# @ref NEHeightConcatenateLayerKernel (if underlying concatenation axis is 1).
* -# @ref NEDepthConcatenateLayerKernel (if underlying concatenation axis is 2).
* -# @ref NEBatchConcatenateLayerKernel (if underlying concatenation axis is 3).
*/
class NEConcatenateLayer : public IFunction
{
public:
/** Default constructor */
NEConcatenateLayer();
/** Initialise the kernel's inputs vector and output.
*
* @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
* @note Preconditions can be found respectively at @ref NEWidthConcatenateLayerKernel, @ref NEHeightConcatenateLayerKernel and @ref NEDepthConcatenateLayerKernel.
*
* @param[in,out] inputs_vector The vectors containing all the tensors to concatenate. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[out] output Output tensor. Data types supported: Same as @p input.
* @param[in] axis Concatenation axis. Supported underlying concatenation axis are 0, 1, 2 and 3.
*/
void configure(std::vector<ITensor *> inputs_vector, ITensor *output, size_t axis);
void configure(std::vector<const ITensor *> inputs_vector, ITensor *output, size_t axis);
/** Static function to check if given info will lead to a valid configuration of @ref NEConcatenateLayer
*
* @note Input and output tensor dimensions preconditions defer depending on the concatenation axis.
* @note Preconditions can be found respectively at @ref NEWidthConcatenateLayerKernel, @ref NEHeightConcatenateLayerKernel and @ref NEDepthConcatenateLayerKernel.
*
* @param[in] inputs_vector The vectors containing all the tensors info to concatenate. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
* @param[in] axis Concatenation axis. Supported underlying concatenation axis are 0, 1, 2 and 3.
*
* @return a status
*/
static Status validate(const std::vector<ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis);
static Status validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis);
// Inherited methods overridden:
void run() override;
private:
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, size_t axis);
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, size_t axis);
private:
std::vector<std::unique_ptr<INEKernel>> _concat_kernels;
unsigned int _num_inputs;
unsigned int _axis;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NECONCATENATELAYER_H */
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