text: /* file: logistic_loss_dense_default_batch_container.h */
  /*******************************************************************************
  * Copyright 2014-2020 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 logloss calculation algorithm container.
  //--
  */
  
  #ifndef __LOGISTIC_LOSS_DENSE_DEFAULT_BATCH_CONTAINER_H__
  #define __LOGISTIC_LOSS_DENSE_DEFAULT_BATCH_CONTAINER_H__
  
  #include "algorithms/optimization_solver/objective_function/logistic_loss_batch.h"
  #include "src/algorithms/objective_function/logistic_loss/logistic_loss_dense_default_batch_kernel.h"
  #include "src/algorithms/objective_function/logistic_loss/oneapi/logistic_loss_dense_default_kernel_oneapi.h"
  
  namespace daal
  {
  namespace algorithms
  {
  namespace optimization_solver
  {
  namespace logistic_loss
  {
  namespace interface2
  {
  template <typename algorithmFPType, Method method, CpuType cpu>
  BatchContainer<algorithmFPType, method, cpu>::BatchContainer(daal::services::Environment::env * daalEnv)
  {
      auto & context    = services::Environment::getInstance()->getDefaultExecutionContext();
      auto & deviceInfo = context.getInfoDevice();
  
      if (deviceInfo.isCpu)
      {
          __DAAL_INITIALIZE_KERNELS(internal::LogLossKernel, algorithmFPType, method);
      }
      else
      {
          _kernel = new internal::LogLossKernelOneAPI<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()
  {
      Input * input                          = static_cast<Input *>(_in);
      objective_function::Result * result    = static_cast<objective_function::Result *>(_res);
      Parameter * parameter                  = static_cast<Parameter *>(_par);
      daal::services::Environment::env & env = *_env;
      NumericTable * value                   = nullptr;
      NumericTable * hessian                 = nullptr;
      NumericTable * gradient                = nullptr;
      NumericTable * nonSmoothTermValue      = nullptr;
      NumericTable * proximalProjection      = nullptr;
      NumericTable * lipschitzConstant       = nullptr;
  
      if (parameter->resultsToCompute & objective_function::value)
      {
          value = result->get(objective_function::valueIdx).get();
      }
  
      if (parameter->resultsToCompute & objective_function::hessian)
      {
          hessian = result->get(objective_function::hessianIdx).get();
      }
  
      if (parameter->resultsToCompute & objective_function::gradient)
      {
          gradient = result->get(objective_function::gradientIdx).get();
      }
  
      if (parameter->resultsToCompute & objective_function::nonSmoothTermValue)
      {
          nonSmoothTermValue = result->get(objective_function::nonSmoothTermValueIdx).get();
      }
  
      if (parameter->resultsToCompute & objective_function::proximalProjection)
      {
          proximalProjection = result->get(objective_function::proximalProjectionIdx).get();
      }
  
      if (parameter->resultsToCompute & objective_function::lipschitzConstant)
      {
          lipschitzConstant = result->get(objective_function::lipschitzConstantIdx).get();
      }
  
      auto & context    = services::Environment::getInstance()->getDefaultExecutionContext();
      auto & deviceInfo = context.getInfoDevice();
  
      if (deviceInfo.isCpu || nonSmoothTermValue || proximalProjection || lipschitzConstant)
      {
          __DAAL_CALL_KERNEL(env, internal::LogLossKernel, __DAAL_KERNEL_ARGUMENTS(algorithmFPType, method), compute,
                             input->get(logistic_loss::data).get(), input->get(logistic_loss::dependentVariables).get(),
                             input->get(logistic_loss::argument).get(), value, hessian, gradient, nonSmoothTermValue, proximalProjection,
                             lipschitzConstant, parameter);
      }
      else
      {
          return ((internal::LogLossKernelOneAPI<algorithmFPType, method> *)(_kernel))
              ->compute(input->get(logistic_loss::data).get(), input->get(logistic_loss::dependentVariables).get(),
                        input->get(logistic_loss::argument).get(), value, hessian, gradient, nonSmoothTermValue, proximalProjection, lipschitzConstant,
                        parameter);
      }
  }
  
  } // namespace interface2
  } // namespace logistic_loss
  } // namespace optimization_solver
  } // namespace algorithms
  } // namespace daal
  
  #endif
  