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