text: /* file: maximum_pooling2d_layer_forward_fpt.cpp */
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  /*
  //++
  //  Implementation of maximum_pooling2d calculation algorithm and types methods.
  //--
  */
  
  #include "maximum_pooling2d_layer_forward_types.h"
  #include "maximum_pooling2d_layer_types.h"
  
  #include "service_mkl_tensor.h"
  
  namespace daal
  {
  namespace algorithms
  {
  namespace neural_networks
  {
  namespace layers
  {
  namespace maximum_pooling2d
  {
  namespace forward
  {
  namespace interface1
  {
  /**
   * Allocates memory to store the result of the forward maximum 2D pooling layer
   * \param[in] input Pointer to an object containing the input data
   * \param[in] parameter %Parameter of the forward maximum 2D pooling layer
   * \param[in] method Computation method for the layer
   */
  template <typename algorithmFPType>
  DAAL_EXPORT services::Status Result::allocate(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method)
  {
      using daal::data_management::Tensor;
      using daal::internal::MklTensor;
  
      services::Status s;
      DAAL_CHECK_STATUS(s, pooling2d::forward::Result::allocate<algorithmFPType>(input, parameter, method));
  
      const Parameter *algParameter = static_cast<const Parameter *>(parameter);
      const Input *in = static_cast<const Input *>(input);
      const services::Collection<size_t> &dataDims = in->get(layers::forward::data)->getDimensions();
      services::Collection<size_t> valueDims(dataDims);
      computeValueDimensions(valueDims, algParameter);
      if (get(layers::forward::resultForBackward))
      {
          if (sizeof(size_t) == sizeof(double))
          {
              set(auxSelectedIndices, data_management::TensorPtr(
                      new MklTensor<double>(valueDims, data_management::Tensor::doAllocate)));
          }
          else
          {
              set(auxSelectedIndices, data_management::TensorPtr(
                      new MklTensor<float>(valueDims, data_management::Tensor::doAllocate)));
          }
          if(!algParameter->predictionStage)
          {
              set(auxData, in->get(layers::forward::data));
              set(auxInputDimensions, createAuxInputDimensions(dataDims));
          }
      }
      return s;
  }
  
  template DAAL_EXPORT services::Status Result::allocate<DAAL_FPTYPE>(const daal::algorithms::Input *input, const daal::algorithms::Parameter *parameter, const int method);
  
  }// namespace interface1
  }// namespace forward
  }// namespace maximum_pooling2d
  }// namespace layers
  }// namespace neural_networks
  }// namespace algorithms
  }// namespace daal
  