text: //
  // Copyright © 2017 Arm Ltd. All rights reserved.
  // SPDX-License-Identifier: MIT
  //
  
  #include "NeonAdditionWorkload.hpp"
  #include "NeonWorkloadUtils.hpp"
  
  #include <aclCommon/ArmComputeTensorUtils.hpp>
  #include <aclCommon/ArmComputeUtils.hpp>
  
  #include <armnn/utility/PolymorphicDowncast.hpp>
  #include <backendsCommon/CpuTensorHandle.hpp>
  
  #include <arm_compute/runtime/NEON/functions/NEArithmeticAddition.h>
  
  namespace armnn
  {
  
  arm_compute::Status NeonAdditionWorkloadValidate(const TensorInfo& input0,
                                                   const TensorInfo& input1,
                                                   const TensorInfo& output,
                                                   const ActivationDescriptor* activationDescriptor)
  {
      const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);
      const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);
      const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
  
      const arm_compute::ActivationLayerInfo activationInfo = ConvertActivationDescriptorToAclActivationLayerInfo(
              activationDescriptor);
  
      return arm_compute::NEArithmeticAddition::validate(&aclInput0,
                                                         &aclInput1,
                                                         &aclOutput,
                                                         arm_compute::ConvertPolicy::SATURATE,
                                                         activationInfo);
  }
  
  
  NeonAdditionWorkload::NeonAdditionWorkload(const AdditionQueueDescriptor& descriptor,
                                             const WorkloadInfo& info)
      : BaseWorkload<AdditionQueueDescriptor>(descriptor, info)
  {
      m_Data.ValidateInputsOutputs("NeonAdditionWorkload", 2, 1);
  
      arm_compute::ITensor& input1 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
      arm_compute::ITensor& input2 = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
      arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
  
      const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor);
  
      auto layer = std::make_unique<arm_compute::NEArithmeticAddition>();
      layer->configure(&input1, &input2, &output, arm_compute::ConvertPolicy::SATURATE, activationInfo);
      m_AddLayer.reset(layer.release());
  }
  
  void NeonAdditionWorkload::Execute() const
  {
      ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonAdditionWorkload_Execute");
      m_AddLayer->run();
  }
  
  } //namespace armnn
  
  