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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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 __ONERT_BACKEND_CPU_OPS_CONVOLUTIONLAYER_H__
#define __ONERT_BACKEND_CPU_OPS_CONVOLUTIONLAYER_H__
#include <backend/IPortableTensor.h>
#include "OperationUtils.h"
#include <exec/IFunction.h>
#include <functional>
#include <memory>
namespace nnfw
{
namespace cker
{
class Conv;
}
} // namespace nnfw
namespace onert
{
namespace backend
{
namespace cpu
{
namespace ops
{
class ConvolutionLayer : public ::onert::exec::IFunction
{
public:
ConvolutionLayer();
~ConvolutionLayer();
public:
void convFloat32();
void convQuant8();
void configure(const IPortableTensor *input, const IPortableTensor *kernel,
const IPortableTensor *bias, ir::PaddingType _paddingType,
const uint32_t paddingLeft, const uint32_t paddingRight, const uint32_t paddingTop,
const uint32_t paddingBottom, const uint32_t strideWidth,
const uint32_t strideHeight, const uint32_t dilationWidthFactor,
const uint32_t dilationHeightFactor, const ir::Activation activation,
IPortableTensor *output);
void run() override;
void prepare() override;
private:
const IPortableTensor *_input;
const IPortableTensor *_kernel;
const IPortableTensor *_bias;
IPortableTensor *_output;
ir::PaddingType _paddingType;
uint32_t _paddingLeft;
uint32_t _paddingTop;
uint32_t _paddingRight;
uint32_t _paddingBottom;
uint32_t _strideWidth;
uint32_t _strideHeight;
uint32_t _dilationWidthFactor;
uint32_t _dilationHeightFactor;
ir::Activation _activation;
std::unique_ptr<nnfw::cker::Conv> _conv_kernel;
bool _prepare;
};
} // namespace ops
} // namespace cpu
} // namespace backend
} // namespace onert
#endif // __ONERT_BACKEND_CPU_OPS_CONVOLUTIONLAYER_H__
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