opencv/modules/dnn/src/layers/layers_common.hpp

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#ifndef __OPENCV_DNN_LAYERS_LAYERS_COMMON_HPP__
#define __OPENCV_DNN_LAYERS_LAYERS_COMMON_HPP__
#include <opencv2/dnn.hpp>
#include <opencv2/dnn/shape_utils.hpp>
namespace cv
{
namespace dnn
{
void getConvolutionKernelParams(const LayerParams &params, int &kernelH, int &kernelW, int &padH, int &padW,
int &strideH, int &strideW, int &dilationH, int &dilationW, cv::String& padMode);
void getPoolingKernelParams(const LayerParams &params, int &kernelH, int &kernelW, bool &globalPooling,
int &padH, int &padW, int &strideH, int &strideW, cv::String& padMode);
void getConvPoolOutParams(const Size& inp, const Size &kernel,
const Size &stride, const String &padMode,
Size& out);
void getConvPoolPaddings(const Size& inp, const Size& out,
const Size &kernel, const Size &stride,
const String &padMode, Size &pad);
#if CV_TRY_AVX
void fastConv_avx(const float* weights, size_t wstep, const float* bias,
const float* rowbuf, float* output, const int* outShape,
int blockSize, int vecsize, int vecsize_aligned,
const float* relu, bool initOutput);
void fastGEMM1T_avx( const float* vec, const float* weights,
size_t wstep, const float* bias,
float* dst, int nvecs, int vecsize );
void fastGEMM_avx( const float* aptr, size_t astep, const float* bptr0,
size_t bstep, float* cptr, size_t cstep,
int ma, int na, int nb );
#endif
#if CV_TRY_AVX2
void fastConv_avx2(const float* weights, size_t wstep, const float* bias,
const float* rowbuf, float* output, const int* outShape,
int blockSize, int vecsize, int vecsize_aligned,
const float* relu, bool initOutput);
void fastGEMM1T_avx2( const float* vec, const float* weights,
size_t wstep, const float* bias,
float* dst, int nvecs, int vecsize );
void fastGEMM_avx2( const float* aptr, size_t astep, const float* bptr0,
size_t bstep, float* cptr, size_t cstep,
int ma, int na, int nb );
#endif
}
}
#endif