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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "NeonBatchNormalizationFloat32Workload.hpp"
#include "backends/CpuTensorHandle.hpp"
#include "backends/ArmComputeTensorUtils.hpp"
namespace armnn
{
using namespace armcomputetensorutils;
NeonBatchNormalizationFloat32Workload::NeonBatchNormalizationFloat32Workload(
const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info)
: Float32Workload<BatchNormalizationQueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("NeonBatchNormalizationFloat32Workload", 1, 1);
arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
BuildArmComputeTensor(m_Mean, m_Data.m_Mean->GetTensorInfo());
BuildArmComputeTensor(m_Variance, m_Data.m_Variance->GetTensorInfo());
BuildArmComputeTensor(m_Gamma, m_Data.m_Gamma->GetTensorInfo());
BuildArmComputeTensor(m_Beta, m_Data.m_Beta->GetTensorInfo());
m_Layer.configure(
&input, &output, &m_Mean, &m_Variance, &m_Beta, &m_Gamma, m_Data.m_Parameters.m_Eps);
InitialiseArmComputeTensorData(m_Mean, m_Data.m_Mean->GetConstTensor<float>());
InitialiseArmComputeTensorData(m_Variance, m_Data.m_Variance->GetConstTensor<float>());
InitialiseArmComputeTensorData(m_Gamma, m_Data.m_Gamma->GetConstTensor<float>());
InitialiseArmComputeTensorData(m_Beta, m_Data.m_Beta->GetConstTensor<float>());
}
void NeonBatchNormalizationFloat32Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuAcc, "NeonBatchNormalizationFloat32Workload_Execute");
m_Layer.run();
}
} //namespace armnn
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