text: /* file: df_classification_predict_dense_default_batch_container_v1.h */
  /*******************************************************************************
  * Copyright 2014-2021 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 decision forest algorithm container -- a class
  //  that contains fast decision forest prediction kernels
  //  for supported architectures.
  //--
  */
  
  #include "algorithms/decision_forest/decision_forest_classification_predict.h"
  #include "src/algorithms/dtrees/forest/classification/df_classification_predict_dense_default_batch.h"
  #include "src/services/service_algo_utils.h"
  
  namespace daal
  {
  namespace algorithms
  {
  namespace decision_forest
  {
  namespace classification
  {
  namespace prediction
  {
  namespace interface1
  {
  template <typename algorithmFPType, Method method, CpuType cpu>
  BatchContainer<algorithmFPType, method, cpu>::BatchContainer(daal::services::Environment::env * daalEnv) : PredictionContainerIface()
  {
      __DAAL_INITIALIZE_KERNELS(internal::PredictKernel, algorithmFPType, method);
  }
  
  template <typename algorithmFPType, Method method, CpuType cpu>
  BatchContainer<algorithmFPType, method, cpu>::~BatchContainer()
  {
      __DAAL_DEINITIALIZE_KERNELS();
  }
  
  template <typename algorithmFPType, Method method, CpuType cpu>
  services::Status BatchContainer<algorithmFPType, method, cpu>::compute()
  {
      const Input * const input                     = static_cast<Input *>(_in);
      classifier::prediction::Result * const result = static_cast<classifier::prediction::Result *>(_res);
  
      const NumericTable * const a = static_cast<NumericTable *>(input->get(classifier::prediction::data).get());
      const decision_forest::classification::Model * const m =
          static_cast<decision_forest::classification::Model *>(input->get(classifier::prediction::model).get());
      NumericTable * const r = static_cast<NumericTable *>(result->get(classifier::prediction::prediction).get());
  
      const classifier::interface1::Parameter * const par = static_cast<classifier::interface1::Parameter *>(_par);
      const daal::services::Environment::env & env        = *_env;
  
      const VotingMethod defaultVotingMethod = VotingMethod::unweighted;
  
      __DAAL_CALL_KERNEL(env, internal::PredictKernel, __DAAL_KERNEL_ARGUMENTS(algorithmFPType, method), compute,
                         daal::services::internal::hostApp(*const_cast<Input *>(input)), a, m, r, nullptr, par->nClasses, defaultVotingMethod);
  }
  } // namespace interface1
  } // namespace prediction
  } // namespace classification
  } // namespace decision_forest
  } // namespace algorithms
  } // namespace daal
  