RefComparisonWorkload Class Reference

#include <RefComparisonWorkload.hpp>

Inheritance diagram for RefComparisonWorkload:

Public Member Functions
	RefComparisonWorkload (const ComparisonQueueDescriptor &descriptor, const WorkloadInfo &info)
void	PostAllocationConfigure () override
void	Execute () const override
Public Member Functions inherited from BaseWorkload< ComparisonQueueDescriptor >
	BaseWorkload (const ComparisonQueueDescriptor &descriptor, const WorkloadInfo &info)
void	PostAllocationConfigure () override
const ComparisonQueueDescriptor &	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< ComparisonQueueDescriptor >
const ComparisonQueueDescriptor	m_Data
const profiling::ProfilingGuid	m_Guid

Detailed Description

Definition at line 16 of file RefComparisonWorkload.hpp.

Constructor & Destructor Documentation

RefComparisonWorkload()

RefComparisonWorkload	(	const ComparisonQueueDescriptor &	descriptor,
		const WorkloadInfo &	info
	)

Definition at line 22 of file RefComparisonWorkload.cpp.

    : BaseWorkload<ComparisonQueueDescriptor>(desc, info)
{}

Member Function Documentation

Execute()

void Execute ( ) const

overridevirtual

Implements IWorkload.

Definition at line 39 of file RefComparisonWorkload.cpp.

References ARMNN_SCOPED_PROFILING_EVENT, CHECK_LOCATION, armnn::CpuRef, armnn::Equal, armnn::GetComparisonOperationAsCString(), TensorInfo::GetShape(), armnn::GetTensorInfo(), armnn::Greater, armnn::GreaterOrEqual, armnn::Less, armnn::LessOrEqual, BaseWorkload< ComparisonQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, ComparisonDescriptor::m_Operation, QueueDescriptor::m_Outputs, QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, and armnn::NotEqual.

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

    const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]);
    const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]);
    const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);

    const TensorShape& inShape0 = inputInfo0.GetShape();
    const TensorShape& inShape1 = inputInfo1.GetShape();
    const TensorShape& outShape = outputInfo.GetShape();

    m_Input0->Reset(m_Data.m_Inputs[0]->Map());
    m_Input1->Reset(m_Data.m_Inputs[1]->Map());
    m_Output->Reset(m_Data.m_Outputs[0]->Map());

    using EqualFunction          = ElementwiseBinaryFunction<std::equal_to<InType>>;
    using GreaterFunction        = ElementwiseBinaryFunction<std::greater<InType>>;
    using GreaterOrEqualFunction = ElementwiseBinaryFunction<std::greater_equal<InType>>;
    using LessFunction           = ElementwiseBinaryFunction<std::less<InType>>;
    using LessOrEqualFunction    = ElementwiseBinaryFunction<std::less_equal<InType>>;
    using NotEqualFunction       = ElementwiseBinaryFunction<std::not_equal_to<InType>>;

    switch (m_Data.m_Parameters.m_Operation)
    {
        case ComparisonOperation::Equal:
        {
            EqualFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output);
            break;
        }
        case ComparisonOperation::Greater:
        {
            GreaterFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output);
            break;
        }
        case ComparisonOperation::GreaterOrEqual:
        {
            GreaterOrEqualFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output);
            break;
        }
        case ComparisonOperation::Less:
        {
            LessFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output);
            break;
        }
        case ComparisonOperation::LessOrEqual:
        {
            LessOrEqualFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output);
            break;
        }
        case ComparisonOperation::NotEqual:
        {
            NotEqualFunction(inShape0, inShape1, outShape, *m_Input0, *m_Input1, *m_Output);
            break;
        }
        default:
        {
            throw InvalidArgumentException(std::string("Unsupported comparison operation ") +
                GetComparisonOperationAsCString(m_Data.m_Parameters.m_Operation), CHECK_LOCATION());
        }
    }
}

PostAllocationConfigure()

void PostAllocationConfigure ( )

overridevirtual

Implements IWorkload.

Definition at line 27 of file RefComparisonWorkload.cpp.

References armnn::GetTensorInfo(), BaseWorkload< ComparisonQueueDescriptor >::m_Data, QueueDescriptor::m_Inputs, and QueueDescriptor::m_Outputs.

{
    const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]);
    const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]);
    const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);

    m_Input0 = MakeDecoder<InType>(inputInfo0);
    m_Input1 = MakeDecoder<InType>(inputInfo1);

    m_Output = MakeEncoder<OutType>(outputInfo);
}

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

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