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								//  CPUDeconvolution.hpp
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								//  MNN
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								//  Created by MNN on 2018/07/20.
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								//  Copyright © 2018, Alibaba Group Holding Limited
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								#ifndef CPUDeconvolution_hpp
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								#define CPUDeconvolution_hpp
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											2020-02-26 09:57:17 +08:00
										 
									 
								 
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								#include "CPUConvolution.hpp"
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								#include "compute/StrassenMatmulComputor.hpp"
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								namespace MNN {
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								class CPUDeconvolutionBasic : public CPUConvolution {
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								public:
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								    CPUDeconvolutionBasic(const Tensor *input, const Op *convOp, Backend *b);
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								    virtual ~CPUDeconvolutionBasic() = default;
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								    virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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								protected:
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								    int mSrcCount;
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								};
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								class CPUDeconvolutionCommon : public CPUDeconvolutionBasic {
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								public:
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								    CPUDeconvolutionCommon(const Tensor *input, const Op *convOp, Backend *b);
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								    virtual ~CPUDeconvolutionCommon();
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								protected:
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								    std::shared_ptr<Tensor> mBias;
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								};
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								class CPUDeconvolutionOrigin : public CPUDeconvolutionBasic {
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								public:
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								    CPUDeconvolutionOrigin(const Tensor *input, const Op *convOp, Backend *b)
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								        : CPUDeconvolutionBasic(input, convOp, b) {
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								        // Do nothing
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								    }
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								    virtual ~CPUDeconvolutionOrigin() = default;
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								    virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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								    virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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								private:
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								    std::shared_ptr<StrassenMatrixComputor> mMatMul;
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								    std::vector<std::pair<std::function<void(int)>, int>> mPreFunctions;
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								    std::vector<std::pair<std::function<void(int)>, int>> mPostFunctions;
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								};
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								class CPUDeconvolutionMultiInput : public CPUDeconvolutionBasic {
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								public:
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								    CPUDeconvolutionMultiInput(const Tensor *input, const Op *convOp, Backend *b)
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								        : CPUDeconvolutionBasic(input, convOp, b) {
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								        mOrigin.reset(new CPUDeconvolutionOrigin(input, convOp, b));
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								    }
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								    virtual ~CPUDeconvolutionMultiInput() = default;
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								    virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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								    virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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								private:
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								    std::shared_ptr<Tensor> mWeight;
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								    std::shared_ptr<Tensor> mCacheWeight;
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								    std::shared_ptr<Tensor> mBias;
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								    std::vector<Tensor *> mTempInputs;
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								    std::shared_ptr<CPUDeconvolutionOrigin> mOrigin;
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								};
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								class CPUDeconvolution : public CPUDeconvolutionCommon {
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								public:
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								    CPUDeconvolution(const Tensor *input, const Op *convOp, Backend *b);
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								    virtual ~CPUDeconvolution();
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								    virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override {
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								        mOrigin->onExecute(mTempInputs, outputs);
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								        return NO_ERROR;
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								    }
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								    virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override {
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								        mTempInputs = {inputs[0], mWeight.get(), mBias.get()};
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								        return mOrigin->onResize(mTempInputs, outputs);
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								    }
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								private:
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								    std::shared_ptr<Tensor> mWeight;
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								    std::vector<Tensor *> mTempInputs;
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								    std::shared_ptr<CPUDeconvolutionOrigin> mOrigin;
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								};
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								} // namespace MNN
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								#endif /* CPUDeconvolution_hpp */
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