DefDet/MWConvLayer.cpp at master · rcheruku09/DefDet · GitHub

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#include "MWConvLayer.hpp"
#include "MWTargetNetworkImpl.hpp"
#include "MWConvLayerImpl.hpp"

//Create Convolution2DLayer with  FilterSize = [r s]
//                               NumChannels = c
//                                NumFilters = k
//                                    Stride = [ StrideH StrideW ]
//                                   Padding = [ PaddingH PaddingW ]
//                            DilationFactor = [dilationFactorH dilationFactorW]
//g is for number of groups.
//g = 2 if NumChannels == [c c] and NumFilters == [k k].
//g = 1 otherwise.
//NNT does not support any other cases.
void MWConvLayer::createConvLayer(MWTargetNetworkImpl* ntwk_impl,
                                  MWTensor* m_in,
                                  int m_r,
                                  int m_s,
                                  int m_c,
                                  int m_k,
                                  int m_StrideH,
                                  int m_StrideW,
                                  int m_PaddingH_T,
                                  int m_PaddingH_B,
                                  int m_PaddingW_L,
                                  int m_PaddingW_R,
                                  int m_DilationFactorH,
                                  int m_DilationFactorW,
                                  int m_g,
                                  const char* m_weights_file,
                                  const char* m_bias_file,
                                  int outbufIdx)
{
    setInputTensor(m_in);

    int m_FilterHeight        = m_r;
    int m_FilterWidth         = m_s;
    int m_NumGroups           = m_g;
    int m_NumChannels =  m_c;
    int m_NumFilters  =  m_k;

    int m_filterH_temp = ((m_FilterHeight-1)*m_DilationFactorH)+1;
    int m_filterW_temp = ((m_FilterWidth-1)*m_DilationFactorW)+1;
    int outputH = ((getInputTensor()->getHeight()- m_filterH_temp + m_PaddingH_B + m_PaddingH_T)/m_StrideH) + 1;
    int outputW = ((getInputTensor()->getWidth()- m_filterW_temp + m_PaddingW_L + m_PaddingW_R)/m_StrideW) + 1;

    // allocate output tensor
    allocateOutputTensor(outputH, outputW, m_NumFilters*m_NumGroups , getInputTensor()->getBatchSize(), NULL);

    m_impl = new MWConvLayerImpl(this,
                                 ntwk_impl,
                                 m_FilterHeight,
                                 m_FilterWidth,
                                 m_NumGroups,
                                 m_NumChannels,
                                 m_NumFilters,
                                 m_StrideH,
                                 m_StrideW,
                                 m_PaddingH_T,
                                 m_PaddingH_B,
                                 m_PaddingW_L,
                                 m_PaddingW_R,
                                 m_DilationFactorH,
                                 m_DilationFactorW,
                                 m_weights_file,
                                 m_bias_file,
                                 outbufIdx);

    /*Setting the data pointer */
    MWTensor *opTensor = getOutputTensor();
    opTensor->setData(m_impl->getData());
}

void MWConvLayer::postSetup()
{
   m_impl->postSetup();
}