mirror of https://github.com/alibaba/MNN.git
69 lines
2.6 KiB
C++
69 lines
2.6 KiB
C++
//
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// ConvolutionCommon.hpp
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// MNN
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//
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// Created by MNN on 2020/03/02.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef ConvolutionCommon_hpp
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#define ConvolutionCommon_hpp
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#include "AutoStorage.h"
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#include "Execution.hpp"
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#include "MNN_generated.h"
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namespace MNN {
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class MNN_PUBLIC ConvolutionCommon : public Execution {
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public:
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struct Int8Common {
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AutoStorage<int8_t> weight;
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AutoStorage<float> alpha;
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AutoStorage<float> weightFloat;
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const IDSTQuan* quan;
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bool asymmetric;
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std::vector<int8_t> weightMap;
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bool canUseInt4 = false;
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Backend* backend = nullptr;
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int originBits = 8;
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int alphaSize;
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};
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static std::shared_ptr<Int8Common> load(const Op* op, Backend* backend = nullptr, bool forceFloat = false, bool forceInt8 = false, void* weightPtr = nullptr);
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// if can not get quant bits, return 0
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static int getQuantBitFromExternalFile(const Op* op);
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static void getConvParameters(std::shared_ptr<ConvolutionCommon::Int8Common> *quanCommon, Backend* backend, const MNN::Op *op, const float** originWeight, int* originWeightSize);
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static bool getConvInt8Parameters(const MNN::Op* op, std::shared_ptr<Int8Common>& quanCommon, Backend* backend,
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const int8_t*& weight, int& weightSize, float* scale, int32_t* bias, int ocUp4);
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// Return padX, padY
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static std::pair<int, int> convolutionPad(const Tensor* input, const Tensor* output,
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const Convolution2DCommon* common);
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// Return padLeft, padTop, padRight, padBottom
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static std::tuple<int, int, int, int> convolutionPadFull(const Tensor* input, const Tensor* output,
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const Convolution2DCommon* common);
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static std::pair<int, int> convolutionTransposePad(const Tensor* input, const Tensor* output,
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const Convolution2DCommon* common);
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struct Im2ColParameter {
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int32_t padX;
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int32_t padY;
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int32_t dilateX;
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int32_t dilateY;
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int32_t strideX;
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int32_t strideY;
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int32_t kernelX;
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int32_t kernelY;
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int32_t icDiv4;
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int32_t kernelCountUnit;
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int32_t iw;
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int32_t ih;
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int32_t ow;
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int32_t oh;
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int32_t srcZStep;
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int32_t srcYStep;
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int32_t packCUnit;
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int32_t destICStride;
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int32_t ic; // ic packed by LP, used by im2col dst data.
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int32_t icup4; // ic packed by LP, used by im2col src data.
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};
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};
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} // namespace MNN
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#endif
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