/*****************************************************************************/
/*!
 * \file timlCNNNormBackPropagation.c
 */
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/*******************************************************************************
 *
 * INCLUDES
 *
 ******************************************************************************/

#include "../api/timl.h"


/******************************************************************************/
/*!
 * \ingroup   cnn
 * \brief     Back propagate the gradient from the norm layer to the previous layer
 * \param[in] layer Layer ptr
 * \return    Error code
 */
/******************************************************************************/

int timlCNNNormBackPropagation(timlCNNLayer *layer)
{
   timlCNNLayer *prevLayer;
   int          deviceId;
   int          threadId;

   prevLayer = layer->prev;
   deviceId  = layer->cnn->deviceId;
   threadId  = layer->cnn->threadId;
   timlUtilLocalContrastUnnormalize(prevLayer->delta, prevLayer->featureMap, layer->delta, layer->featureMap, layer->normParams.denom, layer->row, layer->col, layer->channel, layer->batchSize, layer->normParams.N, layer->normParams.alpha, layer->normParams.beta, deviceId, threadId);

   return 0;
}