/******************************************************************************/
/*!
 * \file timlCNNLoadLabel.c
 */
/* Copyright (C) 2015 Texas Instruments Incorporated - http://www.ti.com/
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/*******************************************************************************
 *
 * INCLUDES
 *
 ******************************************************************************/

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


/******************************************************************************/
/*!
 * \ingroup       cnn
 * \brief         Load the label to the CNN
 * \param[in]     label      Label data ptr
 * \param[in]     dim        Label dimension
 * \param[in]     batchsize  Batch size
 * \return        Error code
 */
/******************************************************************************/


int timlCNNLoadLabel(timlConvNeuralNetwork *cnn, int *label, int row, int col, int batchSize)
{
   timlCNNLayer *layer ;
   int dim = row*col;
   layer = cnn->tail;
   if (layer->type == CNN_SoftmaxCost) {
      timlUtilMemcpy(layer->softmaxCostParams.label, label, sizeof(int)*dim*batchSize, cnn->deviceId, cnn->threadId);
   }
   else if (layer->type == CNN_Accuracy) {
      timlUtilMemcpy(layer->accuracyParams.trueLabel, label, sizeof(int)*dim*batchSize, cnn->deviceId, cnn->threadId);
   }
   else {
      return ERROR_CNN_LOAD_LABEL;
   }
   return 0;
}