mirror of https://github.com/alibaba/MNN.git
79 lines
3.5 KiB
C++
79 lines
3.5 KiB
C++
//
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// DenseConvolutionTiledExecutor
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// MNN
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//
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// Created by MNN on 2018/07/16.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef DenseConvolutionTiledExecutor_hpp
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#define DenseConvolutionTiledExecutor_hpp
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#include <functional>
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#include "backend/cpu/CPUConvolution.hpp"
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#include "ConvolutionTiledExecutor.hpp"
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// Tiled Slide Window or Im2Col + GEMM
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namespace MNN {
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class DenseConvolutionTiledImpl : public ConvolutionTiledImpl {
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public:
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DenseConvolutionTiledImpl(const Convolution2DCommon *common, Backend *b) : ConvolutionTiledImpl(common, b) {
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// Do nothing
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}
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ErrorCode onResize(const std::vector<Tensor*>& inputs,
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const std::vector<Tensor*>& outputs) override;
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ErrorCode onExecute(const std::vector<Tensor*>& inputs,
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const std::vector<Tensor*>& outputs) override;
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virtual ~DenseConvolutionTiledImpl() = default;
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void getPackParameter(int* eP, int* lP, int* hP, const CoreFunctions* core) override;
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static PerfConfig bestTileConvolutionConfig(const Convolution2DCommon *common, const Tensor *inputTensor,
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const Tensor *outputTensor, int threadNumber, Backend* b);
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protected:
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};
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class DenseConvolutionTiledExecutor : public ConvolutionTiledExecutor {
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public:
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DenseConvolutionTiledExecutor(const Convolution2DCommon *common, Backend *b, const float *originWeight,
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size_t originWeightSize, const float *bias, size_t biasSize, std::shared_ptr<ConvolutionCommon::Int8Common>);
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DenseConvolutionTiledExecutor(std::shared_ptr<CPUConvolution::Resource> res, const Convolution2DCommon *common, Backend* b);
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virtual ~DenseConvolutionTiledExecutor();
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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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void initWeight(float *dest, const float *source, float* cache, int depth, int outputCount, int kernelSize, const CoreFunctions* function);
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static PerfConfig bestTileConvolutionConfig(const Convolution2DCommon *common, const Tensor *inputTensor,
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const Tensor *outputTensor, int threadNumber, Backend* b) {
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return DenseConvolutionTiledImpl::bestTileConvolutionConfig(common, inputTensor, outputTensor, threadNumber, b);
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}
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struct DequantizeCache {
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std::shared_ptr<MNN::Tensor> weight;
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std::shared_ptr<MNN::Tensor> weightInt8;
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};
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protected:
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DequantizeCache mWeightCache;
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std::shared_ptr<DenseConvolutionTiledImpl> mProxy;
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};
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class ConvolutionTiledExecutorMultiInput : public Execution {
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public:
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ConvolutionTiledExecutorMultiInput(const Convolution2DCommon *common, Backend *b) : Execution(b) {
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mProxy.reset(new DenseConvolutionTiledImpl(common, b));
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}
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virtual ~ConvolutionTiledExecutorMultiInput() = 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> mTempWeight;
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std::shared_ptr<Tensor> mTempWeightCache;
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std::shared_ptr<Tensor> mTempBias;
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std::shared_ptr<DenseConvolutionTiledImpl> mProxy;
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std::vector<Tensor *> mInputs;
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};
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} // namespace MNN
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#endif /* DenseConvolutionTiledExecutor_hpp */
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