armnnSerializer Namespace Reference

Classes
class	ISerializer
class	SerializerStrategy

Typedefs
using	ISerializerPtr = std::unique_ptr< ISerializer, void(*)(ISerializer *serializer)>

Functions
serializer::ActivationFunction	GetFlatBufferActivationFunction (armnn::ActivationFunction function)
serializer::ArgMinMaxFunction	GetFlatBufferArgMinMaxFunction (armnn::ArgMinMaxFunction function)
armnnSerializer::ComparisonOperation	GetFlatBufferComparisonOperation (armnn::ComparisonOperation comparisonOperation)
armnnSerializer::LogicalBinaryOperation	GetFlatBufferLogicalBinaryOperation (armnn::LogicalBinaryOperation logicalBinaryOperation)
armnnSerializer::ConstTensorData	GetFlatBufferConstTensorData (armnn::DataType dataType)
armnnSerializer::DataType	GetFlatBufferDataType (armnn::DataType dataType)
armnnSerializer::DataLayout	GetFlatBufferDataLayout (armnn::DataLayout dataLayout)
armnnSerializer::UnaryOperation	GetFlatBufferUnaryOperation (armnn::UnaryOperation comparisonOperation)
armnnSerializer::PoolingAlgorithm	GetFlatBufferPoolingAlgorithm (armnn::PoolingAlgorithm poolingAlgorithm)
armnnSerializer::OutputShapeRounding	GetFlatBufferOutputShapeRounding (armnn::OutputShapeRounding outputShapeRounding)
armnnSerializer::PaddingMethod	GetFlatBufferPaddingMethod (armnn::PaddingMethod paddingMethod)
armnnSerializer::PaddingMode	GetFlatBufferPaddingMode (armnn::PaddingMode paddingMode)
armnnSerializer::NormalizationAlgorithmChannel	GetFlatBufferNormalizationAlgorithmChannel (armnn::NormalizationAlgorithmChannel normalizationAlgorithmChannel)
armnnSerializer::NormalizationAlgorithmMethod	GetFlatBufferNormalizationAlgorithmMethod (armnn::NormalizationAlgorithmMethod normalizationAlgorithmMethod)
armnnSerializer::ResizeMethod	GetFlatBufferResizeMethod (armnn::ResizeMethod method)
armnnSerializer::ReduceOperation	GetFlatBufferReduceOperation (armnn::ReduceOperation reduceOperation)

Typedef Documentation

ISerializerPtr

using ISerializerPtr = std::unique_ptr<ISerializer, void(*)(ISerializer* serializer)>

Definition at line 15 of file ISerializer.hpp.

Function Documentation

GetFlatBufferActivationFunction()

serializer::ActivationFunction armnnSerializer::GetFlatBufferActivationFunction

(

armnn::ActivationFunction

function

)

Definition at line 55 of file Serializer.cpp.

References armnn::Abs, armnn::BoundedReLu, armnn::Elu, armnn::HardSwish, armnn::LeakyReLu, armnn::Linear, armnn::ReLu, armnn::Sigmoid, armnn::Sqrt, armnn::Square, and armnn::TanH.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (function)
    {
        case armnn::ActivationFunction::Sigmoid:
            return serializer::ActivationFunction::ActivationFunction_Sigmoid;
        case armnn::ActivationFunction::TanH:
            return serializer::ActivationFunction::ActivationFunction_TanH;
        case armnn::ActivationFunction::Linear:
            return serializer::ActivationFunction::ActivationFunction_Linear;
        case armnn::ActivationFunction::ReLu:
            return serializer::ActivationFunction::ActivationFunction_ReLu;
        case armnn::ActivationFunction::BoundedReLu:
            return serializer::ActivationFunction::ActivationFunction_BoundedReLu;
        case armnn::ActivationFunction::LeakyReLu:
            return serializer::ActivationFunction::ActivationFunction_LeakyReLu;
        case armnn::ActivationFunction::Abs:
            return serializer::ActivationFunction::ActivationFunction_Abs;
        case armnn::ActivationFunction::Sqrt:
            return serializer::ActivationFunction::ActivationFunction_Sqrt;
        case armnn::ActivationFunction::Square:
            return serializer::ActivationFunction::ActivationFunction_Square;
        case armnn::ActivationFunction::Elu:
            return serializer::ActivationFunction::ActivationFunction_Elu;
        case armnn::ActivationFunction::HardSwish:
            return serializer::ActivationFunction::ActivationFunction_HardSwish;
        default:
            return serializer::ActivationFunction::ActivationFunction_Sigmoid;
    }
}

GetFlatBufferArgMinMaxFunction()

serializer::ArgMinMaxFunction armnnSerializer::GetFlatBufferArgMinMaxFunction

(

armnn::ArgMinMaxFunction

function

)

Definition at line 86 of file Serializer.cpp.

References armnn::BFloat16, armnn::Boolean, armnn::Float16, armnn::Float32, OriginsDescriptor::GetConcatAxis(), TensorInfo::GetDataType(), TensorShape::GetDimensionality(), TensorShape::GetDimensionSpecificity(), GetFlatBufferActivationFunction(), GetFlatBufferComparisonOperation(), GetFlatBufferConstTensorData(), GetFlatBufferDataLayout(), GetFlatBufferDataType(), GetFlatBufferLogicalBinaryOperation(), GetFlatBufferNormalizationAlgorithmChannel(), GetFlatBufferNormalizationAlgorithmMethod(), GetFlatBufferOutputShapeRounding(), GetFlatBufferPaddingMethod(), GetFlatBufferPaddingMode(), GetFlatBufferPoolingAlgorithm(), GetFlatBufferReduceOperation(), GetFlatBufferResizeMethod(), GetFlatBufferUnaryOperation(), IConnectableLayer::GetGuid(), BaseTensor< MemoryType >::GetInfo(), BaseTensor< MemoryType >::GetMemoryArea(), IConnectableLayer::GetName(), BaseTensor< MemoryType >::GetNumBytes(), TensorShape::GetNumDimensions(), OriginsDescriptor::GetNumDimensions(), ViewsDescriptor::GetNumDimensions(), OriginsDescriptor::GetNumViews(), ViewsDescriptor::GetNumViews(), ViewsDescriptor::GetOrigins(), TensorInfo::GetQuantizationDim(), TensorInfo::GetQuantizationOffset(), TensorInfo::GetQuantizationScale(), TensorInfo::GetQuantizationScales(), TensorInfo::GetShape(), PermutationVector::GetSize(), OriginsDescriptor::GetViewOrigin(), ViewsDescriptor::GetViewOrigin(), ViewsDescriptor::GetViewSizes(), TensorInfo::HasPerAxisQuantization(), armnn::IgnoreUnused(), ActivationDescriptor::m_A, LstmDescriptor::m_ActivationFunc, BatchMatMulDescriptor::m_AdjointX, BatchMatMulDescriptor::m_AdjointY, ResizeDescriptor::m_AlignCorners, NormalizationDescriptor::m_Alpha, ArgMinMaxDescriptor::m_Axis, SoftmaxDescriptor::m_Axis, GatherDescriptor::m_Axis, MeanDescriptor::m_Axis, StackDescriptor::m_Axis, ChannelShuffleDescriptor::m_Axis, ActivationDescriptor::m_B, SliceDescriptor::m_Begin, StridedSliceDescriptor::m_Begin, StridedSliceDescriptor::m_BeginMask, SoftmaxDescriptor::m_Beta, NormalizationDescriptor::m_Beta, InstanceNormalizationDescriptor::m_Beta, FullyConnectedDescriptor::m_BiasEnabled, Convolution2dDescriptor::m_BiasEnabled, Convolution3dDescriptor::m_BiasEnabled, DepthwiseConvolution2dDescriptor::m_BiasEnabled, TransposeConvolution2dDescriptor::m_BiasEnabled, BatchToSpaceNdDescriptor::m_BlockShape, SpaceToBatchNdDescriptor::m_BlockShape, SpaceToDepthDescriptor::m_BlockSize, QLstmDescriptor::m_CellClip, QLstmDescriptor::m_CellIntermediateScale, LstmDescriptor::m_CifgEnabled, QLstmDescriptor::m_CifgEnabled, LstmDescriptor::m_ClippingThresCell, LstmDescriptor::m_ClippingThresProj, FullyConnectedDescriptor::m_ConstantWeights, BatchToSpaceNdDescriptor::m_Crops, Pooling2dDescriptor::m_DataLayout, Pooling3dDescriptor::m_DataLayout, Convolution2dDescriptor::m_DataLayout, Convolution3dDescriptor::m_DataLayout, DepthwiseConvolution2dDescriptor::m_DataLayout, NormalizationDescriptor::m_DataLayout, L2NormalizationDescriptor::m_DataLayout, BatchNormalizationDescriptor::m_DataLayout, InstanceNormalizationDescriptor::m_DataLayout, BatchToSpaceNdDescriptor::m_DataLayout, ResizeDescriptor::m_DataLayout, SpaceToBatchNdDescriptor::m_DataLayout, SpaceToDepthDescriptor::m_DataLayout, StridedSliceDescriptor::m_DataLayout, TransposeConvolution2dDescriptor::m_DataLayout, BatchMatMulDescriptor::m_DataLayoutX, BatchMatMulDescriptor::m_DataLayoutY, DetectionPostProcessDescriptor::m_DetectionsPerClass, Convolution2dDescriptor::m_DilationX, Convolution3dDescriptor::m_DilationX, DepthwiseConvolution2dDescriptor::m_DilationX, Convolution2dDescriptor::m_DilationY, Convolution3dDescriptor::m_DilationY, DepthwiseConvolution2dDescriptor::m_DilationY, Convolution3dDescriptor::m_DilationZ, PermuteDescriptor::m_DimMappings, TransposeDescriptor::m_DimMappings, StridedSliceDescriptor::m_EllipsisMask, StridedSliceDescriptor::m_End, StridedSliceDescriptor::m_EndMask, L2NormalizationDescriptor::m_Eps, BatchNormalizationDescriptor::m_Eps, InstanceNormalizationDescriptor::m_Eps, QLstmDescriptor::m_ForgetIntermediateScale, ActivationDescriptor::m_Function, ArgMinMaxDescriptor::m_Function, InstanceNormalizationDescriptor::m_Gamma, ResizeDescriptor::m_HalfPixelCenters, QLstmDescriptor::m_HiddenStateScale, QLstmDescriptor::m_HiddenStateZeroPoint, QLstmDescriptor::m_InputIntermediateScale, StackDescriptor::m_InputShape, NormalizationDescriptor::m_K, MeanDescriptor::m_KeepDims, ReduceDescriptor::m_KeepDims, LstmDescriptor::m_LayerNormEnabled, QLstmDescriptor::m_LayerNormEnabled, DetectionPostProcessDescriptor::m_MaxClassesPerDetection, DetectionPostProcessDescriptor::m_MaxDetections, ResizeDescriptor::m_Method, StridedSliceDescriptor::m_NewAxisMask, DetectionPostProcessDescriptor::m_NmsIouThreshold, DetectionPostProcessDescriptor::m_NmsScoreThreshold, NormalizationDescriptor::m_NormChannelType, NormalizationDescriptor::m_NormMethodType, NormalizationDescriptor::m_NormSize, DetectionPostProcessDescriptor::m_NumClasses, ChannelShuffleDescriptor::m_NumGroups, StackDescriptor::m_NumInputs, StandInDescriptor::m_NumInputs, StandInDescriptor::m_NumOutputs, ComparisonDescriptor::m_Operation, ElementwiseUnaryDescriptor::m_Operation, LogicalBinaryDescriptor::m_Operation, QLstmDescriptor::m_OutputIntermediateScale, Pooling2dDescriptor::m_OutputShapeRounding, Pooling3dDescriptor::m_OutputShapeRounding, Pooling3dDescriptor::m_PadBack, Convolution3dDescriptor::m_PadBack, Pooling2dDescriptor::m_PadBottom, Pooling3dDescriptor::m_PadBottom, Convolution2dDescriptor::m_PadBottom, Convolution3dDescriptor::m_PadBottom, DepthwiseConvolution2dDescriptor::m_PadBottom, TransposeConvolution2dDescriptor::m_PadBottom, Pooling2dDescriptor::m_PaddingMethod, Pooling3dDescriptor::m_PaddingMethod, PadDescriptor::m_PaddingMode, Pooling3dDescriptor::m_PadFront, Convolution3dDescriptor::m_PadFront, Pooling2dDescriptor::m_PadLeft, Pooling3dDescriptor::m_PadLeft, Convolution2dDescriptor::m_PadLeft, Convolution3dDescriptor::m_PadLeft, DepthwiseConvolution2dDescriptor::m_PadLeft, TransposeConvolution2dDescriptor::m_PadLeft, SpaceToBatchNdDescriptor::m_PadList, PadDescriptor::m_PadList, Pooling2dDescriptor::m_PadRight, Pooling3dDescriptor::m_PadRight, Convolution2dDescriptor::m_PadRight, Convolution3dDescriptor::m_PadRight, DepthwiseConvolution2dDescriptor::m_PadRight, TransposeConvolution2dDescriptor::m_PadRight, Pooling2dDescriptor::m_PadTop, Pooling3dDescriptor::m_PadTop, Convolution2dDescriptor::m_PadTop, Convolution3dDescriptor::m_PadTop, DepthwiseConvolution2dDescriptor::m_PadTop, TransposeConvolution2dDescriptor::m_PadTop, PadDescriptor::m_PadValue, LstmDescriptor::m_PeepholeEnabled, QLstmDescriptor::m_PeepholeEnabled, Pooling3dDescriptor::m_PoolDepth, Pooling2dDescriptor::m_PoolHeight, Pooling3dDescriptor::m_PoolHeight, Pooling2dDescriptor::m_PoolType, Pooling3dDescriptor::m_PoolType, Pooling2dDescriptor::m_PoolWidth, Pooling3dDescriptor::m_PoolWidth, QLstmDescriptor::m_ProjectionClip, LstmDescriptor::m_ProjectionEnabled, QLstmDescriptor::m_ProjectionEnabled, ReduceDescriptor::m_ReduceOperation, DetectionPostProcessDescriptor::m_ScaleH, DetectionPostProcessDescriptor::m_ScaleW, DetectionPostProcessDescriptor::m_ScaleX, DetectionPostProcessDescriptor::m_ScaleY, StridedSliceDescriptor::m_ShrinkAxisMask, SliceDescriptor::m_Size, StridedSliceDescriptor::m_Stride, Pooling2dDescriptor::m_StrideX, Pooling3dDescriptor::m_StrideX, Convolution2dDescriptor::m_StrideX, Convolution3dDescriptor::m_StrideX, DepthwiseConvolution2dDescriptor::m_StrideX, TransposeConvolution2dDescriptor::m_StrideX, Pooling2dDescriptor::m_StrideY, Pooling3dDescriptor::m_StrideY, Convolution2dDescriptor::m_StrideY, Convolution3dDescriptor::m_StrideY, DepthwiseConvolution2dDescriptor::m_StrideY, TransposeConvolution2dDescriptor::m_StrideY, Pooling3dDescriptor::m_StrideZ, Convolution3dDescriptor::m_StrideZ, ResizeDescriptor::m_TargetHeight, ReshapeDescriptor::m_TargetShape, ResizeDescriptor::m_TargetWidth, LstmDescriptor::m_TimeMajor, FullyConnectedDescriptor::m_TransposeWeightMatrix, BatchMatMulDescriptor::m_TransposeX, BatchMatMulDescriptor::m_TransposeY, DetectionPostProcessDescriptor::m_UseRegularNms, FillDescriptor::m_Value, ReduceDescriptor::m_vAxis, armnn::Max, armnn::Min, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, armnn::Signed32, armnn::Signed64, and OptionalReferenceSwitch< IsReference, T >::value().

{
    switch (function)
    {
        case armnn::ArgMinMaxFunction::Max:
            return serializer::ArgMinMaxFunction::ArgMinMaxFunction_Max;
        case armnn::ArgMinMaxFunction::Min:
        default:
            return serializer::ArgMinMaxFunction::ArgMinMaxFunction_Min;
    }
}

GetFlatBufferComparisonOperation()

armnnSerializer::ComparisonOperation GetFlatBufferComparisonOperation

(

armnn::ComparisonOperation

comparisonOperation

)

Definition at line 11 of file SerializerUtils.cpp.

References armnn::Equal, armnn::Greater, armnn::GreaterOrEqual, armnn::Less, armnn::LessOrEqual, and armnn::NotEqual.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (comparisonOperation)
    {
        case armnn::ComparisonOperation::Equal:
            return armnnSerializer::ComparisonOperation::ComparisonOperation_Equal;
        case armnn::ComparisonOperation::Greater:
            return armnnSerializer::ComparisonOperation::ComparisonOperation_Greater;
        case armnn::ComparisonOperation::GreaterOrEqual:
            return armnnSerializer::ComparisonOperation::ComparisonOperation_GreaterOrEqual;
        case armnn::ComparisonOperation::Less:
            return armnnSerializer::ComparisonOperation::ComparisonOperation_Less;
        case armnn::ComparisonOperation::LessOrEqual:
            return armnnSerializer::ComparisonOperation::ComparisonOperation_LessOrEqual;
        case armnn::ComparisonOperation::NotEqual:
        default:
            return armnnSerializer::ComparisonOperation::ComparisonOperation_NotEqual;
    }
}

GetFlatBufferConstTensorData()

armnnSerializer::ConstTensorData GetFlatBufferConstTensorData

(

armnn::DataType

dataType

)

Definition at line 45 of file SerializerUtils.cpp.

References armnn::Boolean, armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, armnn::Signed32, and armnn::Signed64.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (dataType)
    {
        case armnn::DataType::Float32:
        case armnn::DataType::Signed32:
            return armnnSerializer::ConstTensorData::ConstTensorData_IntData;
        case armnn::DataType::Float16:
        case armnn::DataType::QSymmS16:
            return armnnSerializer::ConstTensorData::ConstTensorData_ShortData;
        case armnn::DataType::QAsymmS8:
        case armnn::DataType::QAsymmU8:
        case armnn::DataType::QSymmS8:
        case armnn::DataType::Boolean:
            return armnnSerializer::ConstTensorData::ConstTensorData_ByteData;
        case armnn::DataType::Signed64:
            return armnnSerializer::ConstTensorData::ConstTensorData_LongData;
        default:
            return armnnSerializer::ConstTensorData::ConstTensorData_NONE;
    }
}

GetFlatBufferDataLayout()

armnnSerializer::DataLayout GetFlatBufferDataLayout

(

armnn::DataLayout

dataLayout

)

Definition at line 94 of file SerializerUtils.cpp.

References armnn::NCDHW, armnn::NCHW, armnn::NDHWC, and armnn::NHWC.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (dataLayout)
    {
        case armnn::DataLayout::NHWC:
            return armnnSerializer::DataLayout::DataLayout_NHWC;
        case armnn::DataLayout::NDHWC:
            return armnnSerializer::DataLayout::DataLayout_NDHWC;
        case armnn::DataLayout::NCDHW:
            return armnnSerializer::DataLayout::DataLayout_NCDHW;
        case armnn::DataLayout::NCHW:
        default:
            return armnnSerializer::DataLayout::DataLayout_NCHW;
    }
}

GetFlatBufferDataType()

armnnSerializer::DataType GetFlatBufferDataType

(

armnn::DataType

dataType

)

Definition at line 67 of file SerializerUtils.cpp.

References armnn::Boolean, armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, armnn::Signed32, and armnn::Signed64.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (dataType)
    {
        case armnn::DataType::Float32:
            return armnnSerializer::DataType::DataType_Float32;
        case armnn::DataType::Float16:
            return armnnSerializer::DataType::DataType_Float16;
        case armnn::DataType::Signed32:
            return armnnSerializer::DataType::DataType_Signed32;
        case armnn::DataType::Signed64:
            return armnnSerializer::DataType::DataType_Signed64;
        case armnn::DataType::QSymmS16:
            return armnnSerializer::DataType::DataType_QSymmS16;
        case armnn::DataType::QAsymmS8:
            return armnnSerializer::DataType::DataType_QAsymmS8;
        case armnn::DataType::QAsymmU8:
            return armnnSerializer::DataType::DataType_QAsymmU8;
        case armnn::DataType::QSymmS8:
            return armnnSerializer::DataType::DataType_QSymmS8;
        case armnn::DataType::Boolean:
            return armnnSerializer::DataType::DataType_Boolean;
        default:
            return armnnSerializer::DataType::DataType_Float16;
    }
}

GetFlatBufferLogicalBinaryOperation()

armnnSerializer::LogicalBinaryOperation GetFlatBufferLogicalBinaryOperation

(

armnn::LogicalBinaryOperation

logicalBinaryOperation

)

Definition at line 31 of file SerializerUtils.cpp.

References armnn::LogicalAnd, and armnn::LogicalOr.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (logicalBinaryOperation)
    {
        case armnn::LogicalBinaryOperation::LogicalAnd:
            return armnnSerializer::LogicalBinaryOperation::LogicalBinaryOperation_LogicalAnd;
        case armnn::LogicalBinaryOperation::LogicalOr:
            return armnnSerializer::LogicalBinaryOperation::LogicalBinaryOperation_LogicalOr;
        default:
            throw armnn::InvalidArgumentException("Logical Binary operation unknown");
    }
}

GetFlatBufferNormalizationAlgorithmChannel()

armnnSerializer::NormalizationAlgorithmChannel GetFlatBufferNormalizationAlgorithmChannel

(

armnn::NormalizationAlgorithmChannel

normalizationAlgorithmChannel

)

Definition at line 186 of file SerializerUtils.cpp.

References armnn::Across, and armnn::Within.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (normalizationAlgorithmChannel)
    {
        case armnn::NormalizationAlgorithmChannel::Across:
            return armnnSerializer::NormalizationAlgorithmChannel::NormalizationAlgorithmChannel_Across;
        case armnn::NormalizationAlgorithmChannel::Within:
            return armnnSerializer::NormalizationAlgorithmChannel::NormalizationAlgorithmChannel_Within;
        default:
            return armnnSerializer::NormalizationAlgorithmChannel::NormalizationAlgorithmChannel_Across;
    }
}

GetFlatBufferNormalizationAlgorithmMethod()

armnnSerializer::NormalizationAlgorithmMethod GetFlatBufferNormalizationAlgorithmMethod

(

armnn::NormalizationAlgorithmMethod

normalizationAlgorithmMethod

)

Definition at line 200 of file SerializerUtils.cpp.

References armnn::LocalBrightness, and armnn::LocalContrast.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (normalizationAlgorithmMethod)
    {
        case armnn::NormalizationAlgorithmMethod::LocalBrightness:
            return armnnSerializer::NormalizationAlgorithmMethod::NormalizationAlgorithmMethod_LocalBrightness;
        case armnn::NormalizationAlgorithmMethod::LocalContrast:
            return armnnSerializer::NormalizationAlgorithmMethod::NormalizationAlgorithmMethod_LocalContrast;
        default:
            return armnnSerializer::NormalizationAlgorithmMethod::NormalizationAlgorithmMethod_LocalBrightness;
    }
}

GetFlatBufferOutputShapeRounding()

armnnSerializer::OutputShapeRounding GetFlatBufferOutputShapeRounding

(

armnn::OutputShapeRounding

outputShapeRounding

)

Definition at line 149 of file SerializerUtils.cpp.

References armnn::Ceiling, and armnn::Floor.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (outputShapeRounding)
    {
        case armnn::OutputShapeRounding::Ceiling:
            return armnnSerializer::OutputShapeRounding::OutputShapeRounding_Ceiling;
        case armnn::OutputShapeRounding::Floor:
        default:
            return armnnSerializer::OutputShapeRounding::OutputShapeRounding_Floor;
    }
}

GetFlatBufferPaddingMethod()

armnnSerializer::PaddingMethod GetFlatBufferPaddingMethod

(

armnn::PaddingMethod

paddingMethod

)

Definition at line 161 of file SerializerUtils.cpp.

References armnn::Exclude, and armnn::IgnoreValue.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (paddingMethod)
    {
        case armnn::PaddingMethod::IgnoreValue:
            return armnnSerializer::PaddingMethod::PaddingMethod_IgnoreValue;
        case armnn::PaddingMethod::Exclude:
        default:
            return armnnSerializer::PaddingMethod::PaddingMethod_Exclude;
    }
}

GetFlatBufferPaddingMode()

armnnSerializer::PaddingMode GetFlatBufferPaddingMode

(

armnn::PaddingMode

paddingMode

)

Definition at line 173 of file SerializerUtils.cpp.

References armnn::Reflect, and armnn::Symmetric.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (paddingMode)
    {
        case armnn::PaddingMode::Reflect:
            return armnnSerializer::PaddingMode::PaddingMode_Reflect;
        case armnn::PaddingMode::Symmetric:
            return armnnSerializer::PaddingMode::PaddingMode_Symmetric;
        default:
            return armnnSerializer::PaddingMode::PaddingMode_Constant;
    }
}

GetFlatBufferPoolingAlgorithm()

armnnSerializer::PoolingAlgorithm GetFlatBufferPoolingAlgorithm

(

armnn::PoolingAlgorithm

poolingAlgorithm

)

Definition at line 135 of file SerializerUtils.cpp.

References armnn::Average, armnn::L2, and armnn::Max.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (poolingAlgorithm)
    {
        case armnn::PoolingAlgorithm::Average:
            return armnnSerializer::PoolingAlgorithm::PoolingAlgorithm_Average;
        case armnn::PoolingAlgorithm::L2:
            return armnnSerializer::PoolingAlgorithm::PoolingAlgorithm_L2;
        case armnn::PoolingAlgorithm::Max:
        default:
            return armnnSerializer::PoolingAlgorithm::PoolingAlgorithm_Max;
    }
}

GetFlatBufferReduceOperation()

armnnSerializer::ReduceOperation GetFlatBufferReduceOperation

(

armnn::ReduceOperation

reduceOperation

)

Definition at line 227 of file SerializerUtils.cpp.

References armnn::Max, armnn::Mean, armnn::Min, armnn::Prod, and armnn::Sum.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (reduceOperation)
    {
        case armnn::ReduceOperation::Sum:
            return armnnSerializer::ReduceOperation::ReduceOperation_Sum;
        case armnn::ReduceOperation::Max:
            return armnnSerializer::ReduceOperation::ReduceOperation_Max;
        case armnn::ReduceOperation::Mean:
            return armnnSerializer::ReduceOperation::ReduceOperation_Mean;
        case armnn::ReduceOperation::Min:
            return armnnSerializer::ReduceOperation::ReduceOperation_Min;
        case armnn::ReduceOperation::Prod:
            return armnnSerializer::ReduceOperation::ReduceOperation_Prod;
        default:
            return armnnSerializer::ReduceOperation::ReduceOperation_Sum;
    }
}

GetFlatBufferResizeMethod()

armnnSerializer::ResizeMethod GetFlatBufferResizeMethod

(

armnn::ResizeMethod

method

)

Definition at line 214 of file SerializerUtils.cpp.

References armnn::Bilinear, and armnn::NearestNeighbor.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (method)
    {
        case armnn::ResizeMethod::NearestNeighbor:
            return armnnSerializer::ResizeMethod_NearestNeighbor;
        case armnn::ResizeMethod::Bilinear:
            return armnnSerializer::ResizeMethod_Bilinear;
        default:
            return armnnSerializer::ResizeMethod_NearestNeighbor;
    }
}

GetFlatBufferUnaryOperation()

armnnSerializer::UnaryOperation GetFlatBufferUnaryOperation

(

armnn::UnaryOperation

comparisonOperation

)

Definition at line 110 of file SerializerUtils.cpp.

References armnn::Abs, armnn::Exp, armnn::Log, armnn::LogicalNot, armnn::Neg, armnn::Rsqrt, armnn::Sin, and armnn::Sqrt.

Referenced by GetFlatBufferArgMinMaxFunction().

{
    switch (comparisonOperation)
    {
        case armnn::UnaryOperation::Abs:
            return armnnSerializer::UnaryOperation::UnaryOperation_Abs;
        case armnn::UnaryOperation::Rsqrt:
            return armnnSerializer::UnaryOperation::UnaryOperation_Rsqrt;
        case armnn::UnaryOperation::Sqrt:
            return armnnSerializer::UnaryOperation::UnaryOperation_Sqrt;
        case armnn::UnaryOperation::Exp:
            return armnnSerializer::UnaryOperation::UnaryOperation_Exp;
        case armnn::UnaryOperation::Neg:
            return armnnSerializer::UnaryOperation::UnaryOperation_Neg;
        case armnn::UnaryOperation::LogicalNot:
            return armnnSerializer::UnaryOperation::UnaryOperation_LogicalNot;
        case armnn::UnaryOperation::Log:
            return armnnSerializer::UnaryOperation::UnaryOperation_Log;
        case armnn::UnaryOperation::Sin:
            return armnnSerializer::UnaryOperation::UnaryOperation_Sin;
        default:
            throw armnn::InvalidArgumentException("Unary operation unknown");
    }
}