text: /* file: pca_dense_svd_online_container.h */
  /*******************************************************************************
  * Copyright 2014 Intel Corporation
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
  * You may obtain a copy of the License at
  *
  *     http://www.apache.org/licenses/LICENSE-2.0
  *
  * Unless required by applicable law or agreed to in writing, software
  * distributed under the License is distributed on an "AS IS" BASIS,
  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  * See the License for the specific language governing permissions and
  * limitations under the License.
  *******************************************************************************/
  
  /*
  //++
  //  Implementation of PCA Correlation algorithm container.
  //--
  */
  
  #ifndef __PCA_DENSE_SVD_ONLINE_CONTAINER_H__
  #define __PCA_DENSE_SVD_ONLINE_CONTAINER_H__
  
  #include "src/algorithms/kernel.h"
  #include "algorithms/pca/pca_online.h"
  #include "src/algorithms/pca/pca_dense_svd_online_kernel.h"
  #include "src/algorithms/pca/pca_dense_svd_container.h"
  
  using namespace daal::data_management;
  
  namespace daal
  {
  namespace algorithms
  {
  namespace pca
  {
  template <typename algorithmFPType, CpuType cpu>
  OnlineContainer<algorithmFPType, svdDense, cpu>::OnlineContainer(daal::services::Environment::env * daalEnv)
  {
      __DAAL_INITIALIZE_KERNELS(internal::PCASVDOnlineKernel, algorithmFPType);
  }
  
  template <typename algorithmFPType, CpuType cpu>
  OnlineContainer<algorithmFPType, svdDense, cpu>::~OnlineContainer()
  {
      __DAAL_DEINITIALIZE_KERNELS();
  }
  
  template <typename algorithmFPType, CpuType cpu>
  services::Status OnlineContainer<algorithmFPType, svdDense, cpu>::compute()
  {
      Input * input                 = static_cast<Input *>(_in);
      internal::InputDataType dtype = getInputDataType(input);
  
      PartialResult<svdDense> * partialResult = static_cast<PartialResult<svdDense> *>(_pres);
  
      NumericTablePtr data = input->get(pca::data);
  
      NumericTablePtr nObservations = partialResult->get(pca::nObservationsSVD);
      NumericTablePtr sumSquaresSVD = partialResult->get(pca::sumSquaresSVD);
      NumericTablePtr sumSVD        = partialResult->get(pca::sumSVD);
  
      DataCollectionPtr rCollection = partialResult->get(auxiliaryData);
      size_t nFeatures              = sumSquaresSVD.get()->getNumberOfColumns();
      services::Status s;
      NumericTablePtr auxiliaryTable = HomogenNumericTable<algorithmFPType>::create(nFeatures, nFeatures, NumericTableIface::doAllocate, &s);
      DAAL_CHECK_STATUS_VAR(s);
      rCollection->push_back(auxiliaryTable);
  
      daal::services::Environment::env & env = *_env;
  
      __DAAL_CALL_KERNEL(env, internal::PCASVDOnlineKernel, __DAAL_KERNEL_ARGUMENTS(algorithmFPType), compute, dtype, data, *nObservations,
                         *auxiliaryTable, *sumSVD, *sumSquaresSVD);
  }
  
  template <typename algorithmFPType, CpuType cpu>
  services::Status OnlineContainer<algorithmFPType, svdDense, cpu>::finalizeCompute()
  {
      Input * input                 = static_cast<Input *>(_in);
      internal::InputDataType dtype = getInputDataType(input);
  
      DataCollectionPtr rCollection;
      Result * result = static_cast<Result *>(_res);
  
      PartialResult<svdDense> * partialResult = static_cast<PartialResult<svdDense> *>(_pres);
  
      NumericTablePtr nObservations = partialResult->get(pca::nObservationsSVD);
  
      rCollection = partialResult->get(auxiliaryData);
  
      NumericTablePtr eigenvalues  = result->get(pca::eigenvalues);
      NumericTablePtr eigenvectors = result->get(pca::eigenvectors);
  
      daal::services::Environment::env & env = *_env;
  
      __DAAL_CALL_KERNEL(env, internal::PCASVDOnlineKernel, __DAAL_KERNEL_ARGUMENTS(algorithmFPType), finalizeMerge, dtype, nObservations, *eigenvalues,
                         *eigenvectors, rCollection);
  }
  
  } // namespace pca
  } // namespace algorithms
  } // namespace daal
  #endif
  