/******************************************************************************/
/*!
 * \file timlCNNInitialize.c
 */
/* Copyright (C) 2015 Texas Instruments Incorporated - http://www.ti.com/
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions
 * are met:
 *
 *    Redistributions of source code must retain the above copyright
 *    notice, this list of conditions and the following disclaimer.
 *
 *    Redistributions in binary form must reproduce the above copyright
 *    notice, this list of conditions and the following disclaimer in the
 *    documentation and/or other materials provided with the
 *    distribution.
 *
 *    Neither the name of Texas Instruments Incorporated nor the names of
 *    its contributors may be used to endorse or promote products derived
 *    from this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
 * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
 * OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
 * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
 * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
 * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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 ******************************************************************************/


/*******************************************************************************
 *
 * INCLUDES
 *
 ******************************************************************************/

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


/******************************************************************************/
/*!
 * \ingroup   cnn
 * \brief     Allocate the memory required by the cnn
 * \param[in] cnn CNN
 * \return    Error code
 */
/******************************************************************************/

int timlCNNInitialize(timlConvNeuralNetwork *cnn)
{
   int err;
   timlCNNLayer *layer = cnn->head;
   timlCNNMemory(cnn);

   if (cnn->params.allocatorLevel == Util_AllocatorLevel3) {
//      timlCNNMemPoolSize(cnn);
      if (timlUtilMallocAcc((void**)&cnn->memPool, cnn->memPoolSize)) {
         return ERROR_CNN_LAYER_ALLOCATION;
      }
   }
   while (layer != NULL) {
      switch (layer->type) {
         case CNN_Input:
            err = timlCNNInputInitialize(layer);
            if (err) {
               return ERROR_CNN_LAYER_ALLOCATION;
            }
            break;
         case CNN_Conv:
            err = timlCNNConvInitialize(layer);
            if (err) {
               return ERROR_CNN_LAYER_ALLOCATION;
            }
            break;
         case CNN_Nonlinear:
            err = timlCNNNonlinearInitialize(layer);
            if (err) {
               return ERROR_CNN_LAYER_ALLOCATION;
            }
            break;
         case CNN_Linear:
            err = timlCNNLinearInitialize(layer);
            if (err) {
               return ERROR_CNN_LAYER_ALLOCATION;
            }
            break;
         case CNN_Pooling:
            err = timlCNNPoolingInitialize(layer);
            if (err) {
               return ERROR_CNN_LAYER_ALLOCATION;
            }
            break;
         case CNN_Norm:
            err = timlCNNNormInitialize(layer);
            if (err) {
               return ERROR_CNN_LAYER_ALLOCATION;
            }
            break;
         case CNN_Dropout:
            err = timlCNNDropoutInitialize(layer);
            if (err) {
               return ERROR_CNN_LAYER_ALLOCATION;
            }
            break;
         case CNN_Accuracy:
        	 err = timlCNNAccuracyInitialize(layer);
             if (err) {
                return ERROR_CNN_LAYER_ALLOCATION;
             }
             break;
         case CNN_SoftmaxCost:
            err = timlCNNSoftmaxCostInitialize(layer);
            if (err) {
               return ERROR_CNN_LAYER_ALLOCATION;
            }
            break;
         case CNN_Softmax:
            err = timlCNNSoftmaxInitialize(layer);
            if (err) {
               return ERROR_CNN_LAYER_ALLOCATION;
            }
            break;
         default:
            break;
      }
      layer = layer->next;
   }
   return 0;
}