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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (C) 2017 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef __NEURUN_KERNEL_CPU_CONCATLAYER_H__
#define __NEURUN_KERNEL_CPU_CONCATLAYER_H__
#include <NeuralNetworks.h>
#include "exec/interface/IFunction.h"
#include "kernel/cpu/OperationUtils.h"
namespace neurun
{
namespace kernel
{
namespace cpu
{
class ConcatLayer : public ::neurun::exec::IFunction
{
public:
ConcatLayer();
public:
bool concatenationFloat32();
bool concatenationQuant8();
void configure(const std::vector<const uint8_t *> &inputDataPtrs,
const std::vector<Shape> &inputShapes, int32_t axis, uint8_t *outputData,
const Shape outputShape);
void run();
private:
std::vector<const uint8_t *> _inputDataPtrs;
uint8_t *_outputData;
int32_t _axis;
std::vector<Shape> _inputShapes;
Shape _outputShape;
OperandType _inputType;
};
} // namespace cpu
} // namespace kernel
} // namespace neurun
#endif // __NEURUN_KERNEL_CPU_CONCATLAYER_H__
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