MNN/source/backend/cpu/compute/Convolution1x1Strassen.hpp

//
//  Convolution1x1Strassen.hpp
//  MNN
//
//  Created by MNN on 2019/02/12.
//  Copyright © 2018, Alibaba Group Holding Limited
//

#ifndef Convolution1x1Strassen_hpp
#define Convolution1x1Strassen_hpp

#include <functional>
#include "backend/cpu/CPUConvolution.hpp"
#include "backend/cpu/compute/StrassenMatmulComputor.hpp"
namespace MNN {
class Convolution1x1Strassen : public CPUConvolution {
public:
    Convolution1x1Strassen(const Convolution2DCommon *common, Backend *b, const float *originWeight,
                           size_t originWeightSize, const float *bias, size_t biasSize);
    Convolution1x1Strassen(std::shared_ptr<CPUConvolution::Resource> resource, const Convolution2DCommon *common, Backend* b);
    virtual ~Convolution1x1Strassen();

    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;
    virtual bool onClone(Backend* bn, const Op* op, Execution** dst) override;
private:
    std::shared_ptr<CPUConvolution::Resource> mResource;

    struct Unit {
        bool mValid = true;
        std::vector<Tensor *> mTempInputVector;
        std::vector<Tensor *> mTempOutputVector;
        std::shared_ptr<StrassenMatrixComputor> mStracssenComputor;
    };

    std::vector<Unit> mUnits;
    std::shared_ptr<Tensor> mTempInputBatch;
    std::shared_ptr<Tensor> mTempOutputBatch;
    bool mNeedPretreat = false;
    std::function<void(const uint8_t* srcBatch, uint8_t* dstBatch)> mPretreatFunction;
};
} // namespace MNN

#endif /* Convolution1x1Strassen_hpp */