mirror of https://github.com/alibaba/MNN.git
44 lines
1.5 KiB
C++
44 lines
1.5 KiB
C++
|
//
|
||
|
|
// ConvolutionWinograd.hpp
|
||
|
|
// MNN
|
||
|
|
//
|
||
|
|
// Created by MNN on 2018/08/20.
|
||
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
||
|
|
//
|
||
|
|
|
||
|
|
#ifndef ConvolutionWinograd_hpp
|
||
|
|
#define ConvolutionWinograd_hpp
|
||
|
|
|
||
|
|
#include "CPUConvolution.hpp"
|
||
|
|
#include "ConvolutionFloatFactory.h"
|
||
|
|
#include "WinogradOptFunction.hpp"
|
||
|
|
|
||
|
|
namespace MNN {
|
||
|
|
class ConvolutionWinograd : public CPUConvolution {
|
||
|
|
public:
|
||
|
|
ConvolutionWinograd(const Convolution2DCommon *convOp, const Tensor *input, const Tensor *output, Backend *b,
|
||
|
|
const float *originWeight, size_t originWeightSize, const float *bias, size_t biasSize,
|
||
|
|
int unit);
|
||
|
|
virtual ~ConvolutionWinograd();
|
||
|
|
virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
|
||
|
|
virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
|
||
|
|
|
||
|
|
static bool canUseWinograd(const Convolution2DCommon *convOp);
|
||
|
|
static int bestWinogradUnit(const Convolution2DCommon *convOp, const Tensor *input, const Tensor *output,
|
||
|
|
int threadnumber);
|
||
|
|
|
||
|
|
private:
|
||
|
|
std::shared_ptr<Tensor> mBias;
|
||
|
|
std::shared_ptr<Tensor> mA;
|
||
|
|
std::shared_ptr<Tensor> mB;
|
||
|
|
std::shared_ptr<Tensor> mWeight;
|
||
|
|
|
||
|
|
Tensor mTempBuffer;
|
||
|
|
Tensor mTransformMidBuffer;
|
||
|
|
|
||
|
|
WinogradFunction::TransformFunc mSourceTransform;
|
||
|
|
WinogradFunction::TransformFunc mDestTransform;
|
||
|
|
};
|
||
|
|
} // namespace MNN
|
||
|
|
#endif /* ConvolutionWinograd_hpp */
|