text: /* file: lcn_layer_backward_kernel.h */
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  //++
  //  Declaration of template function that calculate local contrast normalization.
  //--
  
  
  #ifndef __LCN_LAYER_BACKWARD_KERNEL_H__
  #define __LCN_LAYER_BACKWARD_KERNEL_H__
  
  #include "neural_networks/layers/lcn/lcn_layer.h"
  #include "neural_networks/layers/lcn/lcn_layer_types.h"
  #include "convolution2d_layer_backward.h"
  #include "kernel.h"
  #include "service_math.h"
  #include "service_tensor.h"
  #include "service_numeric_table.h"
  #include "convolution2d_layer_backward_kernel.h"
  #include "threading.h"
  #include "service_memory.h"
  #include "layers_threading.h"
  
  using namespace daal::algorithms::neural_networks::layers::convolution2d::backward::internal;
  using namespace daal::data_management;
  using namespace daal::services;
  using namespace daal::services::internal;
  using namespace daal::internal;
  
  namespace daal
  {
  namespace algorithms
  {
  namespace neural_networks
  {
  namespace layers
  {
  namespace lcn
  {
  namespace backward
  {
  namespace internal
  {
  /**
   *  \brief Kernel for lcn calculation
   */
  template<typename algorithmFPType, Method method, CpuType cpu>
  class LCNKernel : public Kernel
  {
  public:
      services::Status compute(const Tensor &auxCenteredDataTensor, const Tensor &auxSigmaTensor, const Tensor &auxCTensor,
                                                        const Tensor &auxInvMaxTensor, const Tensor &kernelTensor, const Tensor &inGradTensor,
                                                        Tensor &gradientTensor, const lcn::Parameter &parameter);
      services::Status initialize(const Tensor &auxCenteredDataTensor, const Tensor &auxSigmaTensor, const Tensor &auxCTensor,
                                                           const Tensor &kernelTensor, const lcn::Parameter &parameter);
      services::Status reset();
  
  private:
      size_t nDims;
      size_t nDataRows;
      size_t nSigmaRows;
      size_t nCRows;
      size_t nKernelRows;
  
      services::Collection<size_t> dataDims;
      services::Collection<size_t> kernelDims;
      Collection<size_t> sigmaDims;
  
      size_t nDataElements;
      size_t nKernelElements;
      size_t nWeightsElements;
      size_t nCElements;
  
      size_t dataOffsetBeforeDim;
      size_t dataOffsetAfterDim;
  
      size_t batchDimension;
      size_t sumDimension;
      size_t firstDim;
      size_t secondDim;
  
      size_t initialFirstDim;
      size_t initialSecondDim;
      size_t initialSumDimension;
      size_t fDimN;
  
      double sigmaThreshold;
  
      convolution2d::Parameter convParameter;
  
      void getFixedDimsIndexes(size_t *fDims, size_t i);
  };
  
  } // internal
  } // backward
  } // lcn
  } // layers
  } // neural_networks
  } // algorithms
  } // daal
  
  #endif
  