RefBatchNormalizationWorkload Class Reference

#include <RefBatchNormalizationWorkload.hpp>

Inheritance diagram for RefBatchNormalizationWorkload:

Public Member Functions
	RefBatchNormalizationWorkload (const BatchNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
virtual void	Execute () const override
Public Member Functions inherited from BaseWorkload< BatchNormalizationQueueDescriptor >
	BaseWorkload (const BatchNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
void	PostAllocationConfigure () override
const BatchNormalizationQueueDescriptor &	GetData () const
profiling::ProfilingGuid	GetGuid () const final
Public Member Functions inherited from IWorkload
virtual	~IWorkload ()
virtual void	RegisterDebugCallback (const DebugCallbackFunction &)

Additional Inherited Members
Protected Attributes inherited from BaseWorkload< BatchNormalizationQueueDescriptor >
const BatchNormalizationQueueDescriptor	m_Data
const profiling::ProfilingGuid	m_Guid

Detailed Description

Definition at line 14 of file RefBatchNormalizationWorkload.hpp.

Constructor & Destructor Documentation

RefBatchNormalizationWorkload()

RefBatchNormalizationWorkload ( const BatchNormalizationQueueDescriptor &  descriptor, const WorkloadInfo &  info  )

explicit

Definition at line 16 of file RefBatchNormalizationWorkload.cpp.

    : BaseWorkload(descriptor, info)
    , m_Mean    (std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Mean)))
    , m_Variance(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Variance)))
    , m_Beta    (std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Beta)))
    , m_Gamma   (std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Gamma)))
{}

Member Function Documentation

Execute()

void Execute ( ) const

overridevirtual

Implements IWorkload.

Definition at line 25 of file RefBatchNormalizationWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT, armnn::BatchNormImpl(), armnn::CpuRef, armnn::GetTensorInfo(), BaseWorkload< BatchNormalizationQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, and QueueDescriptor::m_Outputs.

{
    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationWorkload_Execute");

    std::unique_ptr<Decoder<float>> meanDecoder     = MakeDecoder<float>(m_Mean->GetTensorInfo(),
                                                                         m_Mean->Map(true));
    std::unique_ptr<Decoder<float>> varianceDecoder = MakeDecoder<float>(m_Variance->GetTensorInfo(),
                                                                         m_Variance->Map(true));
    std::unique_ptr<Decoder<float>> gammaDecoder    = MakeDecoder<float>(m_Gamma->GetTensorInfo(),
                                                                         m_Gamma->Map(true));
    std::unique_ptr<Decoder<float>> betaDecoder     = MakeDecoder<float>(m_Beta->GetTensorInfo(),
                                                                         m_Beta->Map(true));
    std::unique_ptr<Decoder<float>> inputDecoder    = MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[0]),
                                                                         m_Data.m_Inputs[0]->Map());
    std::unique_ptr<Encoder<float>> outputEncoder   = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]),
                                                                         m_Data.m_Outputs[0]->Map());

    BatchNormImpl(m_Data, *meanDecoder, *varianceDecoder, *betaDecoder, *gammaDecoder, *inputDecoder, *outputEncoder);
}

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The documentation for this class was generated from the following files:

• src/backends/reference/workloads/RefBatchNormalizationWorkload.hpp
• src/backends/reference/workloads/RefBatchNormalizationWorkload.cpp