#include <RefFullyConnectedWorkload.hpp>

Inheritance diagram for RefFullyConnectedWorkload:

Public Member Functions
	RefFullyConnectedWorkload (const FullyConnectedQueueDescriptor &descriptor, const WorkloadInfo &info)

void	PostAllocationConfigure () override

virtual void	Execute () const override

Public Member Functions inherited from BaseWorkload< FullyConnectedQueueDescriptor >
	BaseWorkload (const FullyConnectedQueueDescriptor &descriptor, const WorkloadInfo &info)

void	PostAllocationConfigure () override

const FullyConnectedQueueDescriptor &	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< FullyConnectedQueueDescriptor >
const FullyConnectedQueueDescriptor	m_Data

const profiling::ProfilingGuid	m_Guid

Detailed Description

Definition at line 18 of file RefFullyConnectedWorkload.hpp.

Constructor & Destructor Documentation

◆ RefFullyConnectedWorkload()

RefFullyConnectedWorkload	(	const FullyConnectedQueueDescriptor &	descriptor,
		const WorkloadInfo &	info
	)

explicit

Definition at line 15 of file RefFullyConnectedWorkload.cpp.

References TensorInfo::GetShape(), FullyConnectedQueueDescriptor::m_Bias, FullyConnectedDescriptor::m_BiasEnabled, and QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters.

         : BaseWorkload<FullyConnectedQueueDescriptor>(descriptor, info),
           m_Weight(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight)))
 {
     const TensorInfo& rWeightInfo = m_Weight->GetTensorInfo();
     m_WeightShape = rWeightInfo.GetShape();
     m_WeightDecoder = MakeDecoder<float>(rWeightInfo, m_Weight->Map(true));
 
     if (descriptor.m_Parameters.m_BiasEnabled)
     {
         m_Bias = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));
         const TensorInfo& biasInfo = m_Bias->GetTensorInfo();
         m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true));
     }
 }

Member Function Documentation

◆ Execute()

void Execute ( ) const

overridevirtual

Implements IWorkload.

Definition at line 50 of file RefFullyConnectedWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT, armnn::CpuRef, armnn::FullyConnected, FullyConnectedDescriptor::m_BiasEnabled, BaseWorkload< FullyConnectedQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and FullyConnectedDescriptor::m_TransposeWeightMatrix.

 {
     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFullyConnectedWorkload_Execute");
 
     m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map());
     m_OutputEncoder->Reset(m_Data.m_Outputs[0]->Map());
 
     FullyConnected(m_InputShape,
                    *m_InputDecoder,
                    m_OutputShape,
                    *m_OutputEncoder,
                    m_WeightShape,
                    *m_WeightDecoder,
                    *m_BiasDecoder,
                    m_Data.m_Parameters.m_BiasEnabled,
                    m_NumActivations,
                    m_Data.m_Parameters.m_TransposeWeightMatrix);
 }

◆ PostAllocationConfigure()

void PostAllocationConfigure ( )

overridevirtual

Implements IWorkload.

Definition at line 32 of file RefFullyConnectedWorkload.cpp.

References ARMNN_ASSERT, TensorInfo::GetNumDimensions(), TensorInfo::GetShape(), armnn::GetTensorInfo(), BaseWorkload< FullyConnectedQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, and QueueDescriptor::m_Outputs.

 {
     const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
     ARMNN_ASSERT(inputInfo.GetNumDimensions() > 1);
     m_InputShape = inputInfo.GetShape();
     m_InputDecoder = MakeDecoder<float>(inputInfo);
 
     const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
     m_OutputShape = outputInfo.GetShape();
     m_OutputEncoder = MakeEncoder<float>(outputInfo);
 
     m_NumActivations = 1; // Total number of activations in the input.
     for (unsigned int i = 1; i < inputInfo.GetNumDimensions(); i++)
     {
         m_NumActivations *= inputInfo.GetShape()[i];
     }
 }

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

src/backends/reference/workloads/RefFullyConnectedWorkload.hpp
src/backends/reference/workloads/RefFullyConnectedWorkload.cpp