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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_BACKEND_CPU_KERNEL_CONCATLAYER_H__
#define __NEURUN_BACKEND_CPU_KERNEL_CONCATLAYER_H__
#include <exec/IFunction.h>
#include "OperationUtils.h"
namespace neurun
{
namespace backend
{
namespace cpu
{
namespace kernel
{
class ConcatLayer : public ::neurun::exec::IFunction
{
public:
ConcatLayer();
public:
void concatenationFloat32();
void concatenationQuant8();
void configure(const std::vector<const uint8_t *> &inputDataPtrs,
const std::vector<TensorDescriptor> &inputDescriptors, int32_t axis,
uint8_t *outputData, const TensorDescriptor outputDescr);
void run();
void runSync()
{
// this abstract method is used just for profiling and called for
// backend::acl_common::AclFunction
run();
}
private:
std::vector<const uint8_t *> _inputDataPtrs;
DataPtr _outputData;
int32_t _axis;
std::vector<TensorDescriptor> _inputDescriptors;
TensorDescriptor _outputDescr;
OperandType _inputType;
};
} // namespace kernel
} // namespace cpu
} // namespace backend
} // namespace neurun
#endif // __NEURUN_BACKEND_CPU_KERNEL_CONCATLAYER_H__
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