mirror of https://github.com/alibaba/MNN.git
54 lines
1.7 KiB
C++
54 lines
1.7 KiB
C++
//
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// Convolution1x1Strassen.hpp
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// MNN
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//
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// Created by MNN on 2019/02/12.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef Convolution1x1Strassen_hpp
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#define Convolution1x1Strassen_hpp
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#include <functional>
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#include "backend/cpu/CPUConvolution.hpp"
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#include "backend/cpu/compute/StrassenMatmulComputor.hpp"
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namespace MNN {
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class Convolution1x1Strassen : public CPUConvolution {
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public:
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Convolution1x1Strassen(const Convolution2DCommon *common, Backend *b, const float *originWeight,
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size_t originWeightSize, const float *bias, size_t biasSize);
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virtual ~Convolution1x1Strassen();
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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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virtual ErrorCode onReleaseCache() override;
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private:
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std::shared_ptr<Tensor> mWeight;
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std::shared_ptr<Tensor> mBias;
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struct Unit {
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bool mValid = true;
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std::shared_ptr<Tensor> mTempInput;
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std::shared_ptr<Tensor> mTempWeight;
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std::shared_ptr<Tensor> mTempOutput;
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std::vector<Tensor *> mTempInputVector;
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std::vector<Tensor *> mTempOutputVector;
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std::shared_ptr<StrassenMatrixComputor> mStracssenComputor;
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std::function<void()> mPostExecutor;
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};
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std::vector<Unit> mUnits;
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CPUConvolution::POSTFUNCTION mPostFunction;
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std::shared_ptr<Tensor> mTempInputBatch;
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std::shared_ptr<Tensor> mTempOutputBatch;
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bool mNeedPretreat = false;
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std::function<void(const float *srcBatch, float *dstBatch)> mPretreatFunction;
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};
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} // namespace MNN
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#endif /* Convolution1x1Strassen_hpp */
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