mirror of https://github.com/alibaba/MNN.git
43 lines
2.0 KiB
C++
43 lines
2.0 KiB
C++
//
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// ConvolutionPackFreeWinograd.hpp
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// MNN
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//
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// Created by MNN on 2022/01/20.
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// Copyright © 2018 - 2022, Alibaba Group Holding Limited
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//
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#ifndef ConvolutionPackFreeWinograd_hpp
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#define ConvolutionPackFreeWinograd_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/ConvolutionPackFreeWinograd.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 ConvolutionPackFreeWinograd : public ConvolutionWinogradImpl {
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public:
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ConvolutionPackFreeWinograd(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 ~ConvolutionPackFreeWinograd();
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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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bool updateWinogradBuffer(const Tensor* input, const Tensor* output);
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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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static WinogradConfig updateBestWinogradUnit(const Convolution2DCommon *convOp, const Tensor *input, const Tensor *output,
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int threadnumber, Backend* b);
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virtual bool onClone(Backend* bn, const Op* op, Execution** dst) override;
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private:
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ConvolutionPackFreeWinograd(std::shared_ptr<CPUConvolution::Resource> resource, const Convolution2DCommon *convOp, Backend* b) : ConvolutionWinogradImpl(convOp, b) {
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mResource = resource;
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}
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};
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} // namespace MNN
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#endif /* ConvolutionWinogradImpl_hpp */
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