ClFullyConnectedWorkload Class Reference

#include <ClFullyConnectedWorkload.hpp>

Inheritance diagram for ClFullyConnectedWorkload:

Public Member Functions
	ClFullyConnectedWorkload (const armnn::FullyConnectedQueueDescriptor &descriptor, const armnn::WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager, const arm_compute::CLCompileContext &clCompileContext)
void	Execute () const override
Public Member Functions inherited from BaseWorkload< armnn::FullyConnectedQueueDescriptor >
	BaseWorkload (const armnn::FullyConnectedQueueDescriptor &descriptor, const WorkloadInfo &info)
void	ExecuteAsync (WorkingMemDescriptor &workingMemDescriptor) override
void	PostAllocationConfigure () override
const armnn::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< armnn::FullyConnectedQueueDescriptor >
armnn::FullyConnectedQueueDescriptor	m_Data
const profiling::ProfilingGuid	m_Guid

Detailed Description

Definition at line 25 of file ClFullyConnectedWorkload.hpp.

Constructor & Destructor Documentation

ClFullyConnectedWorkload()

ClFullyConnectedWorkload	(	const armnn::FullyConnectedQueueDescriptor &	descriptor,
		const armnn::WorkloadInfo &	info,
		std::shared_ptr< arm_compute::MemoryManagerOnDemand > &	memoryManager,
		const arm_compute::CLCompileContext &	clCompileContext
	)

Definition at line 48 of file ClFullyConnectedWorkload.cpp.

References ARMNN_REPORT_PROFILING_WORKLOAD_DESC, ConstTensorHandle::GetTensorInfo(), FullyConnectedQueueDescriptor::m_Bias, FullyConnectedDescriptor::m_BiasEnabled, WorkloadInfo::m_BiasTensorInfo, WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, FullyConnectedQueueDescriptor::m_Weight, and WorkloadInfo::m_WeightsTensorInfo.

    : BaseWorkload<FullyConnectedQueueDescriptor>(descriptor, info), m_FullyConnectedLayer(memoryManager)
{
    // Add details for profiling output
    WorkloadInfo detailsInfo;

    detailsInfo.m_InputTensorInfos = info.m_InputTensorInfos;
    detailsInfo.m_OutputTensorInfos = info.m_OutputTensorInfos;
    detailsInfo.m_WeightsTensorInfo = armnn::Optional<armnn::TensorInfo>(descriptor.m_Weight->GetTensorInfo());
    if (descriptor.m_Parameters.m_BiasEnabled)
    {
        detailsInfo.m_BiasTensorInfo = armnn::Optional<armnn::TensorInfo>(descriptor.m_Bias->GetTensorInfo());
    }

    // Report Profiling Details
    ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClFullyConnectedWorkload_Construct",
                                         descriptor.m_Parameters,
                                         detailsInfo,
                                         this->GetGuid());

    m_WeightsTensor = std::make_unique<arm_compute::CLTensor>();
    BuildArmComputeTensor(*m_WeightsTensor, m_Data.m_Weight->GetTensorInfo());

    if (m_Data.m_Parameters.m_BiasEnabled)
    {
        m_BiasesTensor = std::make_unique<arm_compute::CLTensor>();
        BuildArmComputeTensor(*m_BiasesTensor, m_Data.m_Bias->GetTensorInfo());
    }

    m_Data.ValidateInputsOutputs("ClFullyConnectedWorkload", 1, 1);

    arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();

    const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor);

    arm_compute::FullyConnectedLayerInfo fc_info =
        ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo(descriptor.m_Parameters, activationInfo);

    m_FullyConnectedLayer.configure(clCompileContext,
                                    &input,
                                    m_WeightsTensor.get(),
                                    m_BiasesTensor.get(),
                                    &output,
                                    fc_info);

    InitializeArmComputeClTensorData(*m_WeightsTensor, m_Data.m_Weight);

    if (m_BiasesTensor)
    {
        InitializeArmComputeClTensorData(*m_BiasesTensor, m_Data.m_Bias);
    }

    // Force Compute Library to perform the necessary copying and reshaping, after which
    // delete all the input tensors that will no longer be needed
    m_FullyConnectedLayer.prepare();
    FreeUnusedTensors();
}

Member Function Documentation

Execute()

void Execute ( ) const

overridevirtual

Implements IWorkload.

Definition at line 111 of file ClFullyConnectedWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT_CL_GUID, CHECK_LOCATION, BaseWorkload< armnn::FullyConnectedQueueDescriptor >::GetGuid(), and armnn::RunClFunction().

{
    ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClFullyConnectedWorkload_Execute", this->GetGuid());
    RunClFunction(m_FullyConnectedLayer, CHECK_LOCATION());
}

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

• src/backends/cl/workloads/ClFullyConnectedWorkload.hpp
• src/backends/cl/workloads/ClFullyConnectedWorkload.cpp