RefWorkloadFactory Class Reference

#include <RefWorkloadFactory.hpp>

Inheritance diagram for RefWorkloadFactory:

Public Member Functions
	RefWorkloadFactory (const std::shared_ptr< RefMemoryManager > &memoryManager)
	RefWorkloadFactory ()
	~RefWorkloadFactory ()
const BackendId &	GetBackendId () const override
bool	SupportsSubTensors () const override
std::unique_ptr< ITensorHandle >	CreateSubTensorHandle (ITensorHandle &parent, TensorShape const &subTensorShape, unsigned int const *subTensorOrigin) const override
std::unique_ptr< ITensorHandle >	CreateTensorHandle (const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const override
std::unique_ptr< ITensorHandle >	CreateTensorHandle (const TensorInfo &tensorInfo, DataLayout dataLayout, const bool IsMemoryManaged=true) const override
std::unique_ptr< IWorkload >	CreateWorkload (LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const override
Public Member Functions inherited from IWorkloadFactory
virtual	~IWorkloadFactory ()
virtual void	AfterWorkloadsCreated ()

Static Public Member Functions
static bool	IsLayerSupported (const Layer &layer, Optional< DataType > dataType, std::string &outReasonIfUnsupported)
static bool	IsLayerSupported (const IConnectableLayer &layer, Optional< DataType > dataType, std::string &outReasonIfUnsupported, const ModelOptions &modelOptions)
Static Public Member Functions inherited from IWorkloadFactory
static bool	IsLayerSupported (const BackendId &backendId, const IConnectableLayer &layer, Optional< DataType > dataType, std::string &outReasonIfUnsupported)
static bool	IsLayerSupported (const IConnectableLayer &layer, Optional< DataType > dataType, std::string &outReasonIfUnsupported)
static bool	IsLayerSupported (const IConnectableLayer &layer, Optional< DataType > dataType, std::string &outReasonIfUnsupported, const ModelOptions &modelOptions)
static bool	IsLayerSupported (const BackendId &backendId, const IConnectableLayer &layer, Optional< DataType > dataType, std::string &outReasonIfUnsupported, const ModelOptions &modelOptions)

Detailed Description

Definition at line 30 of file RefWorkloadFactory.hpp.

Constructor & Destructor Documentation

RefWorkloadFactory() [1/2]

RefWorkloadFactory ( const std::shared_ptr< RefMemoryManager > &  memoryManager )

explicit

Definition at line 83 of file RefWorkloadFactory.cpp.

    : m_MemoryManager(memoryManager)
{
}

RefWorkloadFactory() [2/2]

RefWorkloadFactory

(

)

Definition at line 88 of file RefWorkloadFactory.cpp.

    : m_MemoryManager(new RefMemoryManager())
{
}

~RefWorkloadFactory()

~RefWorkloadFactory ( )

inline

Definition at line 36 of file RefWorkloadFactory.hpp.

{}

Member Function Documentation

CreateSubTensorHandle()

std::unique_ptr<ITensorHandle> CreateSubTensorHandle ( ITensorHandle &  parent, TensorShape const &  subTensorShape, unsigned int const *  subTensorOrigin  ) const

inlineoverridevirtual

Implements IWorkloadFactory.

Definition at line 52 of file RefWorkloadFactory.hpp.

    {
        IgnoreUnused(parent, subTensorShape, subTensorOrigin);
        return nullptr;
    }

References armnn::IgnoreUnused().

CreateTensorHandle() [1/2]

std::unique_ptr< ITensorHandle > CreateTensorHandle ( const TensorInfo &  tensorInfo, const bool  IsMemoryManaged = true  ) const

overridevirtual

Implements IWorkloadFactory.

Definition at line 113 of file RefWorkloadFactory.cpp.

{
    if (isMemoryManaged)
    {
        return std::make_unique<RefTensorHandle>(tensorInfo, m_MemoryManager);
    }
    else
    {
        return std::make_unique<RefTensorHandle>(tensorInfo);
    }
}

CreateTensorHandle() [2/2]

std::unique_ptr< ITensorHandle > CreateTensorHandle ( const TensorInfo &  tensorInfo, DataLayout  dataLayout, const bool  IsMemoryManaged = true  ) const

overridevirtual

Implements IWorkloadFactory.

Definition at line 126 of file RefWorkloadFactory.cpp.

{
    // For Ref it is okay to make the TensorHandle memory managed as it can also store a pointer
    // to unmanaged memory. This also ensures memory alignment.
    IgnoreUnused(isMemoryManaged, dataLayout);
 
    if (isMemoryManaged)
    {
        return std::make_unique<RefTensorHandle>(tensorInfo, m_MemoryManager);
    }
    else
    {
        return std::make_unique<RefTensorHandle>(tensorInfo);
    }
}

References armnn::IgnoreUnused().

CreateWorkload()

std::unique_ptr< IWorkload > CreateWorkload ( LayerType  type, const QueueDescriptor &  descriptor, const WorkloadInfo &  info  ) const

overridevirtual

Reimplemented from IWorkloadFactory.

Definition at line 144 of file RefWorkloadFactory.cpp.

{
    switch(type)
    {
        case LayerType::Activation :
        {
            auto activationQueueDescriptor = PolymorphicDowncast<const ActivationQueueDescriptor*>(&descriptor);
            return std::make_unique<RefActivationWorkload>(*activationQueueDescriptor, info);
        }
        case LayerType::Addition :
        {
            auto additionQueueDescriptor = PolymorphicDowncast<const AdditionQueueDescriptor*>(&descriptor);
 
            if (info.m_InputTensorInfos[0].GetDataType() == armnn::DataType::Signed32)
            {
                return std::make_unique<RefAdditionWorkload<int32_t>>(*additionQueueDescriptor, info);
            }
            else
            {
                return std::make_unique<RefAdditionWorkload<float>>(*additionQueueDescriptor, info);
            }
        }
        case LayerType::ArgMinMax :
        {
            auto argMinMaxQueueDescriptor = PolymorphicDowncast<const ArgMinMaxQueueDescriptor*>(&descriptor);
            return std::make_unique<RefArgMinMaxWorkload>(*argMinMaxQueueDescriptor, info);
        }
        case LayerType::BatchMatMul:
        {
            auto batchMatMulQueueDescriptor = PolymorphicDowncast<const BatchMatMulQueueDescriptor*>(&descriptor);
            return std::make_unique<RefBatchMatMulWorkload>(*batchMatMulQueueDescriptor, info);
        }
        case LayerType::BatchNormalization :
        {
            auto batchNormQueueDescriptor = PolymorphicDowncast<const BatchNormalizationQueueDescriptor*>(&descriptor);
            return std::make_unique<RefBatchNormalizationWorkload>(*batchNormQueueDescriptor, info);
        }
        case LayerType::BatchToSpaceNd :
        {
            auto batchToSpaceNdQueueDescriptor
                    = PolymorphicDowncast<const BatchToSpaceNdQueueDescriptor*>(&descriptor);
            return std::make_unique<RefBatchToSpaceNdWorkload>(*batchToSpaceNdQueueDescriptor, info);
       }
        case LayerType::Cast :
        {
            auto castQueueDescriptor = PolymorphicDowncast<const CastQueueDescriptor*>(&descriptor);
            return std::make_unique<RefCastWorkload>(*castQueueDescriptor, info);
        }
        case LayerType::ChannelShuffle :
        {
            auto channelShuffleQueueDescriptor
                    = PolymorphicDowncast<const ChannelShuffleQueueDescriptor*>(&descriptor);
            return std::make_unique<RefChannelShuffleWorkload>(*channelShuffleQueueDescriptor, info);
        }
        case LayerType::Comparison :
        {
            auto comparisonQueueDescriptor = PolymorphicDowncast<const ComparisonQueueDescriptor*>(&descriptor);
            return std::make_unique<RefComparisonWorkload>(*comparisonQueueDescriptor, info);
        }
        case LayerType::Concat :
        {
            auto concatQueueDescriptor = PolymorphicDowncast<const ConcatQueueDescriptor*>(&descriptor);
            return std::make_unique<RefConcatWorkload>(*concatQueueDescriptor, info);
        }
        case LayerType::Constant :
        {
            auto constantQueueDescriptor = PolymorphicDowncast<const ConstantQueueDescriptor*>(&descriptor);
            return std::make_unique<RefConstantWorkload>(*constantQueueDescriptor, info);
        }
        case LayerType::ConvertFp16ToFp32:
        {
            auto convertFp16ToFp32QueueDescriptor
                    = PolymorphicDowncast<const ConvertFp16ToFp32QueueDescriptor*>(&descriptor);
            return std::make_unique<RefConvertFp16ToFp32Workload>(*convertFp16ToFp32QueueDescriptor, info);
        }
        case LayerType::ConvertFp32ToFp16:
        {
            auto convertFp32ToFp16QueueDescriptor
                    = PolymorphicDowncast<const ConvertFp32ToFp16QueueDescriptor*>(&descriptor);
            return std::make_unique<RefConvertFp32ToFp16Workload>(*convertFp32ToFp16QueueDescriptor, info);
        }
        case LayerType::Convolution2d:
        {
            auto convolution2dQueueDescriptor = PolymorphicDowncast<const Convolution2dQueueDescriptor*>(&descriptor);
            return std::make_unique<RefConvolution2dWorkload>(*convolution2dQueueDescriptor, info);
        }
        case LayerType::Convolution3d:
        {
            auto convolution3dQueueDescriptor = PolymorphicDowncast<const Convolution3dQueueDescriptor*>(&descriptor);
            return std::make_unique<RefConvolution3dWorkload>(*convolution3dQueueDescriptor, info);
        }
        case LayerType::Debug:
        {
            auto debugQueueDescriptor = PolymorphicDowncast<const DebugQueueDescriptor*>(&descriptor);
            if (IsBFloat16(info))
            {
                return std::make_unique<RefDebugBFloat16Workload>(*debugQueueDescriptor, info);
            }
            if (IsFloat16(info))
            {
                return std::make_unique<RefDebugFloat16Workload>(*debugQueueDescriptor, info);
            }
            if (IsQSymmS16(info))
            {
                return std::make_unique<RefDebugQSymmS16Workload>(*debugQueueDescriptor, info);
            }
            if (IsQSymmS8(info))
            {
                return std::make_unique<RefDebugQSymmS8Workload>(*debugQueueDescriptor, info);
            }
            if (IsQAsymmU8(info))
            {
                return std::make_unique<RefDebugQAsymmU8Workload>(*debugQueueDescriptor, info);
            }
            if (IsQAsymmS8(info))
            {
                return std::make_unique<RefDebugQAsymmS8Workload>(*debugQueueDescriptor, info);
            }
            if (IsSigned32(info))
            {
                return std::make_unique<RefDebugSigned32Workload>(*debugQueueDescriptor, info);
            }
 
            return MakeWorkload<RefDebugFloat32Workload, RefDebugQAsymmU8Workload>(*debugQueueDescriptor, info);
        }
        case LayerType::DepthToSpace:
        {
            auto depthToSpaceQueueDescriptor = PolymorphicDowncast<const DepthToSpaceQueueDescriptor*>(&descriptor);
            return std::make_unique<RefDepthToSpaceWorkload>(*depthToSpaceQueueDescriptor, info);
        }
        case LayerType::DepthwiseConvolution2d:
        {
            auto depthwiseConvolution2DQueueDescriptor
                = PolymorphicDowncast<const DepthwiseConvolution2dQueueDescriptor*>(&descriptor);
            return std::make_unique<RefDepthwiseConvolution2dWorkload>(*depthwiseConvolution2DQueueDescriptor, info);
        }
        case LayerType::Dequantize:
        {
            auto dequantizeQueueDescriptor = PolymorphicDowncast<const DequantizeQueueDescriptor*>(&descriptor);
            return std::make_unique<RefDequantizeWorkload>(*dequantizeQueueDescriptor, info);
        }
        case LayerType::DetectionPostProcess:
        {
            auto detectionPostProcessQueueDescriptor
                = PolymorphicDowncast<const DetectionPostProcessQueueDescriptor*>(&descriptor);
            return std::make_unique<RefDetectionPostProcessWorkload>(*detectionPostProcessQueueDescriptor, info);
        }
        case LayerType::Division:
        {
            auto divisionQueueDescriptor = PolymorphicDowncast<const DivisionQueueDescriptor*>(&descriptor);
            if (info.m_InputTensorInfos[0].GetDataType() == armnn::DataType::Signed32)
            {
                return std::make_unique<RefDivisionWorkload<int32_t>>(*divisionQueueDescriptor, info);
            }
            else
            {
                return std::make_unique<RefDivisionWorkload<float>>(*divisionQueueDescriptor, info);
            }
        }
        case LayerType::ElementwiseUnary:
        {
            auto elementwiseUnaryQueueDescriptor
                = PolymorphicDowncast<const ElementwiseUnaryQueueDescriptor*>(&descriptor);
            if ((*elementwiseUnaryQueueDescriptor).m_Parameters.m_Operation == UnaryOperation::LogicalNot)
            {
                return std::make_unique<RefLogicalUnaryWorkload>(*elementwiseUnaryQueueDescriptor, info);
            }
            return std::make_unique<RefElementwiseUnaryWorkload>(*elementwiseUnaryQueueDescriptor, info);
        }
        case LayerType::FakeQuantization:
        {
            auto fakeQuantizationQueueDescriptor
                = PolymorphicDowncast<const FakeQuantizationQueueDescriptor*>(&descriptor);
            return std::make_unique<RefFakeQuantizationFloat32Workload>(*fakeQuantizationQueueDescriptor, info);
        }
        case LayerType::Fill:
        {
            auto fillQueueDescriptor = PolymorphicDowncast<const FillQueueDescriptor*>(&descriptor);
            return std::make_unique<RefFillWorkload>(*fillQueueDescriptor, info);
        }
        case LayerType::Floor:
        {
            auto floorQueueDescriptor = PolymorphicDowncast<const FloorQueueDescriptor*>(&descriptor);
            if(IsQuantizedType(info.m_InputTensorInfos[0].GetDataType()))
            {
                return nullptr;
            }
            else
            {
                return std::make_unique<RefFloorWorkload>(*floorQueueDescriptor, info);
            }
        }
        case LayerType::FullyConnected:
        {
            auto fullyConnectedQueueDescriptor
                    = PolymorphicDowncast<const FullyConnectedQueueDescriptor*>(&descriptor);
            return std::make_unique<RefFullyConnectedWorkload>(*fullyConnectedQueueDescriptor, info);
        }
        case LayerType::Gather:
        {
            auto gatherQueueDescriptor = PolymorphicDowncast<const GatherQueueDescriptor*>(&descriptor);
            return std::make_unique<RefGatherWorkload>(*gatherQueueDescriptor, info);
        }
        case LayerType::GatherNd:
        {
            auto gatherNdQueueDescriptor = PolymorphicDowncast<const GatherNdQueueDescriptor*>(&descriptor);
            return std::make_unique<RefGatherNdWorkload>(*gatherNdQueueDescriptor, info);
        }
        case LayerType::Input:
        {
            auto inputQueueDescriptor = PolymorphicDowncast<const InputQueueDescriptor*>(&descriptor);
            if (info.m_InputTensorInfos.empty() )
            {
                throw InvalidArgumentException("RefWorkloadFactory::CreateInput: Input cannot be zero length");
            }
            if (info.m_OutputTensorInfos.empty())
            {
                throw InvalidArgumentException("RefWorkloadFactory::CreateInput: Output cannot be zero length");
            }
 
            if (info.m_InputTensorInfos[0].GetNumBytes() != info.m_OutputTensorInfos[0].GetNumBytes())
            {
                throw InvalidArgumentException("RefWorkloadFactory::CreateInput: "
                                               "data input and output differ in byte count.");
            }
 
            return std::make_unique<CopyMemGenericWorkload>(*inputQueueDescriptor, info);
        }
        case LayerType::InstanceNormalization:
        {
            auto instanceNormalizationQueueDescriptor
                    = PolymorphicDowncast<const InstanceNormalizationQueueDescriptor*>(&descriptor);
            return std::make_unique<RefInstanceNormalizationWorkload>(*instanceNormalizationQueueDescriptor, info);
        }
        case LayerType::L2Normalization:
        {
            auto l2NormalizationQueueDescriptor
                    = PolymorphicDowncast<const L2NormalizationQueueDescriptor*>(&descriptor);
            return std::make_unique<RefL2NormalizationWorkload>(*l2NormalizationQueueDescriptor, info);
        }
        case LayerType::LogicalBinary:
        {
            auto logicalBinaryQueueDescriptor = PolymorphicDowncast<const LogicalBinaryQueueDescriptor*>(&descriptor);
            return std::make_unique<RefLogicalBinaryWorkload>(*logicalBinaryQueueDescriptor, info);
        }
        case LayerType::LogSoftmax:
        {
            auto logSoftmaxQueueDescriptor = PolymorphicDowncast<const LogSoftmaxQueueDescriptor*>(&descriptor);
            return std::make_unique<RefLogSoftmaxWorkload>(*logSoftmaxQueueDescriptor, info);
        }
        case LayerType::Lstm:
        {
            auto lstmQueueDescriptor = PolymorphicDowncast<const LstmQueueDescriptor*>(&descriptor);
            return std::make_unique<RefLstmWorkload>(*lstmQueueDescriptor, info);
        }
        case LayerType::Maximum:
        {
            auto maximumQueueDescriptor = PolymorphicDowncast<const MaximumQueueDescriptor*>(&descriptor);
            if (info.m_InputTensorInfos[0].GetDataType() == armnn::DataType::Signed32)
            {
                return std::make_unique<RefMaximumWorkload<int32_t>>(*maximumQueueDescriptor, info);
            }
            else
            {
                return std::make_unique<RefMaximumWorkload<float>>(*maximumQueueDescriptor, info);
            }
        }
        case LayerType::Mean:
        {
            auto meanQueueDescriptor = PolymorphicDowncast<const MeanQueueDescriptor*>(&descriptor);
            return  std::make_unique<RefMeanWorkload>(*meanQueueDescriptor, info);
        }
        case LayerType::MemCopy:
        {
            auto memCopyQueueDescriptor = PolymorphicDowncast<const MemCopyQueueDescriptor*>(&descriptor);
            if (descriptor.m_Inputs.empty())
            {
                throw InvalidArgumentException("RefWorkloadFactory: CreateMemCopy() expected an input tensor.");
            }
            return std::make_unique<CopyMemGenericWorkload>(*memCopyQueueDescriptor, info);
        }
        case LayerType::MemImport:
        {
            auto memImportQueueDescriptor = PolymorphicDowncast<const MemImportQueueDescriptor*>(&descriptor);
            if (descriptor.m_Inputs.empty())
            {
                throw InvalidArgumentException("RefWorkloadFactory: CreateMemImport() expected an input tensor.");
            }
            return std::make_unique<ImportMemGenericWorkload>(*memImportQueueDescriptor, info);
        }
        case LayerType::Minimum:
        {
            auto minimumQueueDescriptor = PolymorphicDowncast<const MinimumQueueDescriptor*>(&descriptor);
            if (info.m_InputTensorInfos[0].GetDataType() == armnn::DataType::Signed32)
            {
                return std::make_unique<RefMinimumWorkload<int32_t>>(*minimumQueueDescriptor, info);
            }
            else
            {
                return std::make_unique<RefMinimumWorkload<float>>(*minimumQueueDescriptor, info);
            }
        }
        case LayerType::Multiplication:
        {
            auto multiplicationQueueDescriptor
                    = PolymorphicDowncast<const MultiplicationQueueDescriptor*>(&descriptor);
            if (info.m_InputTensorInfos[0].GetDataType() == armnn::DataType::Signed32)
            {
                return std::make_unique<RefMultiplicationWorkload<int32_t>>(*multiplicationQueueDescriptor, info);
            }
            else
            {
                return std::make_unique<RefMultiplicationWorkload<float>>(*multiplicationQueueDescriptor, info);
            }
        }
        case LayerType::Normalization:
        {
            auto normalizationQueueDescriptor = PolymorphicDowncast<const NormalizationQueueDescriptor*>(&descriptor);
            return std::make_unique<RefNormalizationWorkload>(*normalizationQueueDescriptor, info);
        }
        case LayerType::Output:
        {
            auto outputQueueDescriptor = PolymorphicDowncast<const OutputQueueDescriptor*>(&descriptor);
            if (info.m_InputTensorInfos.empty() )
            {
                throw InvalidArgumentException("RefWorkloadFactory::CreateOutput: Input cannot be zero length");
            }
            if (info.m_OutputTensorInfos.empty())
            {
                throw InvalidArgumentException("RefWorkloadFactory::CreateOutput: Output cannot be zero length");
            }
            if (info.m_InputTensorInfos[0].GetNumBytes() != info.m_OutputTensorInfos[0].GetNumBytes())
            {
                throw InvalidArgumentException("RefWorkloadFactory::CreateOutput: data input and output "
                                               "differ in byte count.");
            }
 
            return std::make_unique<CopyMemGenericWorkload>(*outputQueueDescriptor, info);
        }
        case LayerType::Pad:
        {
            auto padQueueDescriptor = PolymorphicDowncast<const PadQueueDescriptor*>(&descriptor);
            return std::make_unique<RefPadWorkload>(*padQueueDescriptor, info);
        }
        case LayerType::Permute:
        {
            auto permuteQueueDescriptor = PolymorphicDowncast<const PermuteQueueDescriptor*>(&descriptor);
            if (IsQSymmS16(info))
            {
                return std::make_unique<RefPermuteQSymm16Workload>(*permuteQueueDescriptor, info);
            }
            else if (IsBFloat16(info))
            {
                return std::make_unique<RefPermuteBFloat16Workload>(*permuteQueueDescriptor, info);
            }
            else if (IsQAsymmS8(info))
            {
                return std::make_unique<RefPermuteQAsymmS8Workload>(*permuteQueueDescriptor, info);
            }
            return MakeWorkloadHelper<RefPermuteFloat16Workload, RefPermuteFloat32Workload, RefPermuteQAsymm8Workload,
                    NullWorkload, NullWorkload, NullWorkload>(*permuteQueueDescriptor, info);
        }
        case LayerType::Pooling2d:
        {
            auto pooling2dQueueDescriptor = PolymorphicDowncast<const Pooling2dQueueDescriptor*>(&descriptor);
            return std::make_unique<RefPooling2dWorkload>(*pooling2dQueueDescriptor, info);
        }
        case LayerType::Pooling3d:
        {
            auto pooling3dQueueDescriptor = PolymorphicDowncast<const Pooling3dQueueDescriptor*>(&descriptor);
            return std::make_unique<RefPooling3dWorkload>(*pooling3dQueueDescriptor, info);
        }
        case LayerType::PreCompiled:
        {
            return nullptr;
        }
        case LayerType::Prelu:
        {
            auto preluQueueDescriptor = PolymorphicDowncast<const PreluQueueDescriptor*>(&descriptor);
            return std::make_unique<RefPreluWorkload>(*preluQueueDescriptor, info);
        }
        case LayerType::QLstm:
        {
            auto qlstmQueueDescriptor = PolymorphicDowncast<const QLstmQueueDescriptor*>(&descriptor);
            return std::make_unique<RefQLstmWorkload>(*qlstmQueueDescriptor, info);
        }
        case LayerType::Quantize:
        {
            auto quantizeQueueDescriptor = PolymorphicDowncast<const QuantizeQueueDescriptor*>(&descriptor);
            return std::make_unique<RefQuantizeWorkload>(*quantizeQueueDescriptor, info);
        }
        case LayerType::Rank:
        {
            auto rankQueueDescriptor = PolymorphicDowncast<const RankQueueDescriptor*>(&descriptor);
            return std::make_unique<RefRankWorkload>(*rankQueueDescriptor, info);
        }
        case LayerType::Reduce:
        {
            auto reduceQueueDescriptor = PolymorphicDowncast<const ReduceQueueDescriptor*>(&descriptor);
            return std::make_unique<RefReduceWorkload>(*reduceQueueDescriptor, info);
        }
        case LayerType::Reshape:
        {
            auto reshapeQueueDescriptor = PolymorphicDowncast<const ReshapeQueueDescriptor*>(&descriptor);
            return std::make_unique<RefReshapeWorkload>(*reshapeQueueDescriptor, info);
        }
        case LayerType::Resize:
        {
            auto resizeQueueDescriptor = PolymorphicDowncast<const ResizeQueueDescriptor*>(&descriptor);
            return std::make_unique<RefResizeWorkload>(*resizeQueueDescriptor, info);
        }
        case LayerType::Shape:
        {
            auto shapeQueueDescriptor = PolymorphicDowncast<const ShapeQueueDescriptor*>(&descriptor);
            return std::make_unique<RefShapeWorkload>(*shapeQueueDescriptor, info);
        }
        case LayerType::Slice:
        {
            auto sliceQueueDescriptor = PolymorphicDowncast<const SliceQueueDescriptor*>(&descriptor);
            return std::make_unique<RefSliceWorkload>(*sliceQueueDescriptor, info);
        }
        case LayerType::Softmax:
        {
            auto softmaxQueueDescriptor = PolymorphicDowncast<const SoftmaxQueueDescriptor*>(&descriptor);
            return std::make_unique<RefSoftmaxWorkload>(*softmaxQueueDescriptor, info);
        }
        case LayerType::SpaceToBatchNd:
        {
            auto spaceToBatchNdQueueDescriptor
                    = PolymorphicDowncast<const SpaceToBatchNdQueueDescriptor*>(&descriptor);
            return std::make_unique<RefSpaceToBatchNdWorkload>(*spaceToBatchNdQueueDescriptor, info);
        }
        case LayerType::SpaceToDepth:
        {
            auto spaceToDepthQueueDescriptor = PolymorphicDowncast<const SpaceToDepthQueueDescriptor*>(&descriptor);
            return std::make_unique<RefSpaceToDepthWorkload>(*spaceToDepthQueueDescriptor, info);
        }
        case LayerType::Splitter:
        {
            auto splitterQueueDescriptor = PolymorphicDowncast<const SplitterQueueDescriptor*>(&descriptor);
            return std::make_unique<RefSplitterWorkload>(*splitterQueueDescriptor, info);
        }
        case LayerType::Stack:
        {
            auto stackQueueDescriptor = PolymorphicDowncast<const StackQueueDescriptor*>(&descriptor);
            return std::make_unique<RefStackWorkload>(*stackQueueDescriptor, info);
        }
        case LayerType::StridedSlice:
        {
            auto stridedSliceQueueDescriptor = PolymorphicDowncast<const StridedSliceQueueDescriptor*>(&descriptor);
            return std::make_unique<RefStridedSliceWorkload>(*stridedSliceQueueDescriptor, info);
        }
        case LayerType::Subtraction:
        {
            auto subtractionQueueDescriptor = PolymorphicDowncast<const SubtractionQueueDescriptor*>(&descriptor);
            if (info.m_InputTensorInfos[0].GetDataType() == armnn::DataType::Signed32)
            {
                return std::make_unique<RefSubtractionWorkload<int32_t>>(*subtractionQueueDescriptor, info);
            }
            else
            {
                return std::make_unique<RefSubtractionWorkload<float>>(*subtractionQueueDescriptor, info);
            }
        }
        case LayerType::Transpose:
        {
            auto transposeQueueDescriptor = PolymorphicDowncast<const TransposeQueueDescriptor*>(&descriptor);
            if (IsQSymmS16(info))
            {
                return std::make_unique<RefTransposeQSymm16Workload>(*transposeQueueDescriptor, info);
            }
            else if (IsBFloat16(info))
            {
                return std::make_unique<RefTransposeBFloat16Workload>(*transposeQueueDescriptor, info);
            }
            else if (IsQAsymmS8(info))
            {
                return std::make_unique<RefTransposeQAsymmS8Workload>(*transposeQueueDescriptor, info);
            }
            return MakeWorkloadHelper<RefTransposeFloat16Workload, RefTransposeFloat32Workload,
                    RefTransposeQAsymm8Workload, NullWorkload, NullWorkload, NullWorkload>
                    (*transposeQueueDescriptor, info);
        }
        case LayerType::TransposeConvolution2d:
        {
            auto transposeConvolution2dQueueDescriptor
                    = PolymorphicDowncast<const TransposeConvolution2dQueueDescriptor*>(&descriptor);
            return std::make_unique<RefTransposeConvolution2dWorkload>(*transposeConvolution2dQueueDescriptor, info);
        }
        case LayerType::UnidirectionalSequenceLstm:
        {
            auto unidirectionalSequenceLstmQueueDescriptor
                    = PolymorphicDowncast<const UnidirectionalSequenceLstmQueueDescriptor*>(&descriptor);
            return std::make_unique<RefUnidirectionalSequenceLstmWorkload>(*unidirectionalSequenceLstmQueueDescriptor,
                                                                           info);
        }
        default:
            return nullptr;
    }
}

References armnn::Activation, armnn::Addition, armnn::ArgMinMax, armnn::BatchMatMul, armnn::BatchNormalization, armnn::BatchToSpaceNd, armnn::Cast, armnn::ChannelShuffle, armnn::Comparison, armnn::Concat, armnn::Constant, armnn::ConvertFp16ToFp32, armnn::ConvertFp32ToFp16, armnn::Convolution2d, armnn::Convolution3d, armnn::Debug, armnn::DepthToSpace, armnn::DepthwiseConvolution2d, armnn::Dequantize, armnn::DetectionPostProcess, armnn::Division, armnn::ElementwiseUnary, armnn::FakeQuantization, armnn::Fill, armnn::Floor, armnn::FullyConnected, armnn::Gather, armnn::GatherNd, armnn::info, armnn::Input, armnn::InstanceNormalization, armnn::IsBFloat16(), armnn::IsFloat16(), armnn::IsQAsymmS8(), armnn::IsQAsymmU8(), armnn::IsQSymmS16(), armnn::IsQSymmS8(), armnn::IsQuantizedType(), armnn::IsSigned32(), armnn::L2Normalization, armnn::LogicalBinary, armnn::LogicalNot, armnn::LogSoftmax, armnn::Lstm, QueueDescriptor::m_Inputs, armnn::Maximum, armnn::Mean, armnn::MemCopy, armnn::MemImport, armnn::Minimum, armnn::Multiplication, armnn::Normalization, armnn::Output, armnn::Pad, armnn::Permute, armnn::Pooling2d, armnn::Pooling3d, armnn::PreCompiled, armnn::Prelu, armnn::QLstm, armnn::Quantize, armnn::Rank, armnn::Reduce, armnn::Reshape, armnn::Resize, armnn::Shape, armnn::Signed32, armnn::Slice, armnn::Softmax, armnn::SpaceToBatchNd, armnn::SpaceToDepth, armnn::Splitter, armnn::Stack, armnn::StridedSlice, armnn::Subtraction, armnn::Transpose, armnn::TransposeConvolution2d, and armnn::UnidirectionalSequenceLstm.

GetBackendId()

const BackendId & GetBackendId ( ) const

overridevirtual

Implements IWorkloadFactory.

Definition at line 93 of file RefWorkloadFactory.cpp.

{
    return s_Id;
}

IsLayerSupported() [1/2]

bool IsLayerSupported ( const IConnectableLayer &  layer, Optional< DataType >  dataType, std::string &  outReasonIfUnsupported, const ModelOptions &  modelOptions  )

static

Definition at line 105 of file RefWorkloadFactory.cpp.

{
    return IWorkloadFactory::IsLayerSupported(s_Id, layer, dataType, outReasonIfUnsupported, modelOptions);
}

References IWorkloadFactory::IsLayerSupported().

IsLayerSupported() [2/2]

bool IsLayerSupported ( const Layer &  layer, Optional< DataType >  dataType, std::string &  outReasonIfUnsupported  )

static

Definition at line 98 of file RefWorkloadFactory.cpp.

{
    return IWorkloadFactory::IsLayerSupported(s_Id, layer, dataType, outReasonIfUnsupported);
}

References IWorkloadFactory::IsLayerSupported().

SupportsSubTensors()

bool SupportsSubTensors ( ) const

inlineoverridevirtual

Implements IWorkloadFactory.

Definition at line 49 of file RefWorkloadFactory.hpp.

{ return false; }

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

• src/backends/reference/RefWorkloadFactory.hpp
• src/backends/reference/RefWorkloadFactory.cpp