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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_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