mirror of https://github.com/alibaba/MNN.git
43 lines
1.8 KiB
C++
43 lines
1.8 KiB
C++
//
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// ConvolutionPackWinograd.hpp
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// MNN
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//
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// Created by MNN on 2018/08/20.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef ConvolutionPackWinograd_hpp
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#define ConvolutionPackWinograd_hpp
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#include "backend/cpu/CPUConvolution.hpp"
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#include "backend/cpu/compute/ConvolutionWinogradImpl.hpp"
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#include "backend/cpu/compute/CommonOptFunction.h"
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#define CONVOLUTION_WINOGRAD_MAX_UNIT 8
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#define CONVOLUTION_WINOGRAD_MIN_UNIT 2
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namespace MNN {
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class ConvolutionPackWinograd : public ConvolutionWinogradImpl {
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public:
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ConvolutionPackWinograd(const Convolution2DCommon *convOp, const Tensor *input, const Tensor *output, Backend *b,
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const float *originWeight, size_t originWeightSize, const float *bias, size_t biasSize,
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WinogradConfig config);
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virtual ~ConvolutionPackWinograd();
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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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static WinogradConfig bestWinogradUnit(const Convolution2DCommon *convOp, const Tensor *input, const Tensor *output,
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int threadnumber, Backend* b, const PerfConfig& denseConfig);
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virtual bool onClone(Backend* bn, const Op* op, Execution** dst) override;
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private:
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ConvolutionPackWinograd(std::shared_ptr<CPUConvolution::Resource> resource, const Convolution2DCommon *convOp, Backend* b)
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: ConvolutionWinogradImpl(convOp, b) {
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mResource = resource;
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}
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std::pair<int, std::function<void(int tId, const uint8_t*, uint8_t*)>> mMainFunction;
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std::pair<int, std::function<void(int, uint8_t*)>> mPostFunction;
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};
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} // namespace MNN
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#endif /* ConvolutionPackWinograd_hpp */
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