mirror of https://github.com/alibaba/MNN.git
57 lines
1.5 KiB
C++
57 lines
1.5 KiB
C++
//
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// CPUConvolution.hpp
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// MNN
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//
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// Created by MNN on 2018/07/15.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef CPUConvolution_hpp
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#define CPUConvolution_hpp
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#include "core/Execution.hpp"
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#include "MNN_generated.h"
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namespace MNN {
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class CPUConvolution : public Execution {
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public:
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CPUConvolution(const Convolution2DCommon *convOp, Backend *b);
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virtual ~CPUConvolution() = default;
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virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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typedef void (*POSTFUNCTION)(float *dst, const float *bias, size_t planeNumber, size_t biasNumber);
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POSTFUNCTION getPostFunction() const;
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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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};
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static int reorderWeightSize(int depth, int outputCount, int kernelSize, int unit);
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static void reorderWeight(float *destBuffer, const float *source, int depth, int outputCount, int kernelSize,
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float *cache);
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protected:
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const Convolution2DCommon *mCommon;
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// In execute, use pad from mPadX and mPadY, don't use mCommon's pad
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mutable int mPadX;
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mutable int mPadY;
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CPUConvolution::POSTFUNCTION mPostFunction;
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};
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} // namespace MNN
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#endif /* CPUConvolution_hpp */
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