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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "NeonAdditionFloat32Workload.hpp"
#include "backends/ArmComputeTensorUtils.hpp"
#include "backends/CpuTensorHandle.hpp"
namespace armnn
{
arm_compute::Status NeonAdditionWorkloadValidate(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output)
{
const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);
const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);
const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
return arm_compute::NEArithmeticAddition::validate(&aclInput0,
&aclInput1,
&aclOutput,
arm_compute::ConvertPolicy::SATURATE);
}
NeonAdditionFloat32Workload::NeonAdditionFloat32Workload(const AdditionQueueDescriptor& descriptor,
const WorkloadInfo& info)
: FloatWorkload<AdditionQueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("NeonAdditionFloat32Workload", 2, 1);
arm_compute::ITensor& input1 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& input2 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
m_AddLayer.configure(&input1, &input2, &output, arm_compute::ConvertPolicy::SATURATE);
}
void NeonAdditionFloat32Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonAdditionFloat32Workload_Execute");
m_AddLayer.run();
}
} //namespace armnn
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