mirror of https://github.com/alibaba/MNN.git
43 lines
1.4 KiB
C++
43 lines
1.4 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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#ifndef MNN_REDUCE_SIZE
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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, size_t originWeightSize, const float *bias, size_t biasSize);
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Convolution1x1Strassen(std::shared_ptr<CPUConvolution::Resource> resource, const Convolution2DCommon *common, Backend* b);
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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 bool onClone(Backend* bn, const Op* op, Execution** dst) override;
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private:
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std::shared_ptr<CPUConvolution::Resource> mResource;
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struct Unit {
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bool mValid = true;
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int offset[4];//Input, Weight, Output, Bias
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std::shared_ptr<StrassenMatrixComputor> mStracssenComputor;
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};
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std::vector<Unit> mUnits;
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int mWeightBytes = 4;
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};
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#endif
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} // namespace MNN
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#endif /* Convolution1x1Strassen_hpp */
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