text: /* file: split_layer_forward_batch_container.h */
  /*******************************************************************************
  * Copyright 2014-2017 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 split layer container.
  //--
  */
  
  #ifndef __SPLIT_LAYER_FORWARD_BATCH_CONTAINER_H__
  #define __SPLIT_LAYER_FORWARD_BATCH_CONTAINER_H__
  
  #include "neural_networks/layers/split/split_layer.h"
  #include "split_layer_forward_kernel.h"
  #include "service_numeric_table.h"
  
  using namespace daal::internal;
  
  namespace daal
  {
  namespace algorithms
  {
  namespace neural_networks
  {
  namespace layers
  {
  namespace split
  {
  namespace forward
  {
  namespace interface1
  {
  template<typename algorithmFPType, Method method, CpuType cpu>
  BatchContainer<algorithmFPType, method, cpu>::BatchContainer(daal::services::Environment::env *daalEnv)
  {
      __DAAL_INITIALIZE_KERNELS(internal::SplitKernel, 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()
  {
      split::forward::Input *input = static_cast<split::forward::Input *>(_in);
      split::forward::Result *result = static_cast<split::forward::Result *>(_res);
  
      split::Parameter *parameter = static_cast<split::Parameter *>(_par);
      daal::services::Environment::env &env = *_env;
  
      Tensor *inputTensor = input->get(layers::forward::data).get();
      const size_t nOutputs = parameter->nOutputs;
  
      SmartPtr<cpu> resultBlock( nOutputs * sizeof(Tensor *));
      Tensor **resultTensors = (Tensor **)resultBlock.get();
      DAAL_CHECK_MALLOC(resultTensors);
  
      for(size_t i = 0; i < nOutputs; i++)
      {
          resultTensors[i] = result->get(valueCollection, i).get();
      }
  
      __DAAL_CALL_KERNEL(env, internal::SplitKernel, __DAAL_KERNEL_ARGUMENTS(algorithmFPType, method), compute, inputTensor, resultTensors, nOutputs);
  }
  } // namespace interface1
  } // namespace forward
  
  } // namespace split
  } // namespace layers
  } // namespace neural_networks
  } // namespace algorithms
  } // namespace daal
  
  #endif
  