#include <NeonLayerSupport.hpp>

Inheritance diagram for NeonLayerSupport:

Collaboration diagram for NeonLayerSupport:

Public Member Functions
	NeonLayerSupport (const IBackendInternal::IBackendSpecificModelContextPtr &modelContextPtr)
	NeonLayerSupport ()
	~NeonLayerSupport ()
bool	IsLayerSupported (const LayerType &type, const std::vector< TensorInfo > &infos, const BaseDescriptor &descriptor, const Optional< LstmInputParamsInfo > &lstmParamsInfo, const Optional< QuantizedLstmInputParamsInfo > &quantizedLstmParamsInfo, Optional< std::string & > reasonIfUnsupported) const override
	Default implementation of the ILayerSupport interface, Backends should implement this as a switch statement for each of their LayerTypes calling their specific backend implementation of IsXXXLayerSupported.
bool	IsActivationSupported (const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsAdditionSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsArgMinMaxSupported (const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsBatchMatMulSupported (const TensorInfo &inputX, const TensorInfo &inputY, const TensorInfo &output, const BatchMatMulDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsBatchNormalizationSupported (const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsBatchToSpaceNdSupported (const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsCastSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsChannelShuffleSupported (const TensorInfo &input, const TensorInfo &output, const ChannelShuffleDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsComparisonSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ComparisonDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsConcatSupported (const std::vector< const TensorInfo * > inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsConstantSupported (const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsConvertFp16ToFp32Supported (const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsConvertFp32ToFp16Supported (const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsConvolution2dSupported (const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsConvolution3dSupported (const TensorInfo &input, const TensorInfo &output, const Convolution3dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsDepthToSpaceSupported (const TensorInfo &input, const TensorInfo &output, const DepthToSpaceDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsDepthwiseConvolutionSupported (const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsDequantizeSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsDilatedDepthwiseConvolutionSupported (const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reason=EmptyOptional()) const
bool	IsElementwiseUnarySupported (const TensorInfo &input, const TensorInfo &output, const ElementwiseUnaryDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsFillSupported (const TensorInfo &input, const TensorInfo &output, const FillDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsFloorSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsFullyConnectedSupported (const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsFusedSupported (const std::vector< std::reference_wrapper< TensorInfo > > &inputs, const std::vector< std::reference_wrapper< TensorInfo > > &outputs, const FusedDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsGatherNdSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported) const
bool	IsGatherSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const GatherDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported) const
bool	IsInputSupported (const TensorInfo &input, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsInstanceNormalizationSupported (const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsL2NormalizationSupported (const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsLogicalBinarySupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const LogicalBinaryDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported) const
bool	IsLogSoftmaxSupported (const TensorInfo &input, const TensorInfo &output, const LogSoftmaxDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsLstmSupported (const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &scratchBuffer, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const LstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsMaximumSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsMeanSupported (const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsMinimumSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsMultiplicationSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsDivisionSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsNormalizationSupported (const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsOutputSupported (const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsPadSupported (const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsPermuteSupported (const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsPooling2dSupported (const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsPooling3dSupported (const TensorInfo &input, const TensorInfo &output, const Pooling3dDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsPreluSupported (const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsQLstmSupported (const TensorInfo &input, const TensorInfo &previousOutputIn, const TensorInfo &previousCellStateIn, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const QLstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsQuantizeSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsQuantizedLstmSupported (const TensorInfo &input, const TensorInfo &cellStateIn, const TensorInfo &outputStateIn, const TensorInfo &cellStateOut, const TensorInfo &outputStateOut, const QuantizedLstmInputParamsInfo &paramsInfo, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsReduceSupported (const TensorInfo &input, const TensorInfo &output, const ReduceDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsReshapeSupported (const TensorInfo &input, const TensorInfo &output, const ReshapeDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsResizeSupported (const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsReverseV2Supported (const TensorInfo &input, const TensorInfo &axis, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported) const
bool	IsSliceSupported (const TensorInfo &input, const TensorInfo &output, const SliceDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsSoftmaxSupported (const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsSpaceToBatchNdSupported (const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsSpaceToDepthSupported (const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsSplitterSupported (const TensorInfo &input, const std::vector< std::reference_wrapper< TensorInfo > > &outputs, const ViewsDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsStackSupported (const std::vector< const TensorInfo * > &inputs, const TensorInfo &output, const StackDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsStridedSliceSupported (const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsSubtractionSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsTileSupported (const TensorInfo &input0, const TensorInfo &output, const TileDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsTransposeConvolution2dSupported (const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsTransposeSupported (const TensorInfo &input, const TensorInfo &output, const TransposeDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsUnidirectionalSequenceLstmSupported (const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const UnidirectionalSequenceLstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string & > reasonIfUnsupported) const
Public Member Functions inherited from LayerSupportBase
bool	IsDetectionPostProcessSupported (const TensorInfo &boxEncodings, const TensorInfo &scores, const TensorInfo &anchors, const TensorInfo &detectionBoxes, const TensorInfo &detectionClasses, const TensorInfo &detectionScores, const TensorInfo &numDetections, const DetectionPostProcessDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsMemCopySupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsMemImportSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsMergeSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsQuantizedLstmSupported (const TensorInfo &input, const TensorInfo &previousCellStateIn, const TensorInfo &previousOutputIn, const TensorInfo &cellStateOut, const TensorInfo &output, const QuantizedLstmInputParamsInfo &paramsInfo, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsShapeSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const
bool	IsStandInSupported (const std::vector< const TensorInfo * > &inputs, const std::vector< const TensorInfo * > &outputs, const StandInDescriptor &descriptor, Optional< std::string & > reasonIfUnsupported=EmptyOptional()) const

Additional Inherited Members
Protected Member Functions inherited from ILayerSupport
	ILayerSupport ()
virtual	~ILayerSupport ()

Detailed Description

Definition at line 14 of file NeonLayerSupport.hpp.

Constructor & Destructor Documentation

◆ NeonLayerSupport() [1/2]

NeonLayerSupport ( const IBackendInternal::IBackendSpecificModelContextPtr & modelContextPtr )

explicit

Definition at line 175 of file NeonLayerSupport.cpp.

    : m_ModelContextPtr(modelContextPtr)
{
}

◆ NeonLayerSupport() [2/2]

NeonLayerSupport ( )

Definition at line 180 of file NeonLayerSupport.cpp.

    : m_ModelContextPtr(nullptr)
{
}

◆ ~NeonLayerSupport()

~NeonLayerSupport ( )

inline

Definition at line 20 of file NeonLayerSupport.hpp.

20{}

Member Function Documentation

◆ IsActivationSupported()

bool IsActivationSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const ActivationDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 779 of file NeonLayerSupport.cpp.

{
    IgnoreUnused(descriptor);
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonActivationWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, armnn::IgnoreUnused(), and armnn::NeonActivationWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsAdditionSupported()

bool IsAdditionSupported	(	const TensorInfo &	input0,
		const TensorInfo &	input1,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 792 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonAdditionWorkloadValidate,
                                   reasonIfUnsupported,
                                   input0,
                                   input1,
                                   output,
                                   nullptr);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonAdditionWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsArgMinMaxSupported()

bool IsArgMinMaxSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const ArgMinMaxDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 805 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonArgMinMaxWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonArgMinMaxWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsBatchMatMulSupported()

bool IsBatchMatMulSupported	(	const TensorInfo &	inputX,
		const TensorInfo &	inputY,
		const TensorInfo &	output,
		const BatchMatMulDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 817 of file NeonLayerSupport.cpp.

{
    bool isFastMathEnabled = false;
#if defined(ARMCOMPUTENEON_ENABLED)
    if (m_ModelContextPtr)
    {
        if (m_ModelContextPtr.get() != nullptr)
        {
            auto modelOptions = dynamic_cast<NeonBackendModelContext*>(m_ModelContextPtr.get());
            if (modelOptions)
            {
                isFastMathEnabled = modelOptions->IsFastMathEnabled();
            }
        }
    }
#endif
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonBatchMatMulValidate,
                                   reasonIfUnsupported,
                                   inputX,
                                   inputY,
                                   output,
                                   descriptor,
                                   isFastMathEnabled,
                                   nullptr);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonBatchMatMulValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsBatchNormalizationSupported()

bool IsBatchNormalizationSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const TensorInfo &	mean,
		const TensorInfo &	var,
		const TensorInfo &	beta,
		const TensorInfo &	gamma,
		const BatchNormalizationDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 847 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonBatchNormalizationValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   mean,
                                   var,
                                   beta,
                                   gamma,
                                   descriptor,
                                   nullptr);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonBatchNormalizationValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsBatchToSpaceNdSupported()

bool IsBatchToSpaceNdSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const BatchToSpaceNdDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 868 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonBatchToSpaceNdWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonBatchToSpaceNdWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsCastSupported()

bool IsCastSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 880 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonCastValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonCastValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsChannelShuffleSupported()

bool IsChannelShuffleSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const ChannelShuffleDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 890 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonChannelShuffleValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonChannelShuffleValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsComparisonSupported()

bool IsComparisonSupported	(	const TensorInfo &	input0,
		const TensorInfo &	input1,
		const TensorInfo &	output,
		const ComparisonDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 902 of file NeonLayerSupport.cpp.

{
 
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonComparisonWorkloadValidate,
                                   reasonIfUnsupported,
                                   input0,
                                   input1,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonComparisonWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsConcatSupported()

bool IsConcatSupported	(	const std::vector< const TensorInfo * >	inputs,
		const TensorInfo &	output,
		const OriginsDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 917 of file NeonLayerSupport.cpp.

{
    if (descriptor.GetNumDimensions() <= descriptor.GetConcatAxis())
    {
        SetValueChecked(reasonIfUnsupported, "Neon Concat: Concat axis > Number of dimensions.");
        return false;
    }
 
    unsigned int concatInnerAxis = (descriptor.GetNumDimensions() - descriptor.GetConcatAxis()) - 1;
    if(concatInnerAxis < 3) // Width, height, or channels
    {
        FORWARD_WORKLOAD_VALIDATE_FUNC(NeonConcatWorkloadValidate,
                                       reasonIfUnsupported,
                                       inputs,
                                       output,
                                       descriptor);
    }
    else if (concatInnerAxis == 3)
    {
        for (auto& input : inputs)
        {
            if (input && !output.IsTypeSpaceMatch(*input)) // Cannot use sub-tensors if the types are not same space
            {
                SetValueChecked(reasonIfUnsupported, "Neon Concat: Types and quantization parameters must match.");
                return false;
            }
        }
        return true; // Sub-tensors support concat along batch
    }
    else // > 4 dimensions not supported.
    {
        SetValueChecked(reasonIfUnsupported, "Neon Concat: Maximum of 4 dimensions supported.");
        return false;
    }
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, OriginsDescriptor::GetConcatAxis(), OriginsDescriptor::GetNumDimensions(), TensorInfo::IsTypeSpaceMatch(), armnn::NeonConcatWorkloadValidate(), and armnn::SetValueChecked().

Referenced by armnn::IsLayerTypeSupported().

◆ IsConstantSupported()

bool IsConstantSupported	(	const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 956 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonConstantWorkloadValidate,
                                   reasonIfUnsupported,
                                   output);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonConstantWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsConvertFp16ToFp32Supported()

bool IsConvertFp16ToFp32Supported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 964 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonConvertFp16ToFp32WorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonConvertFp16ToFp32WorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsConvertFp32ToFp16Supported()

bool IsConvertFp32ToFp16Supported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 974 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonConvertFp32ToFp16WorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonConvertFp32ToFp16WorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsConvolution2dSupported()

bool IsConvolution2dSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const Convolution2dDescriptor &	descriptor,
		const TensorInfo &	weights,
		const Optional< TensorInfo > &	biases,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 984 of file NeonLayerSupport.cpp.

{
    bool isFastMathEnabled = false;
#if defined(ARMCOMPUTENEON_ENABLED)
    if (m_ModelContextPtr)
    {
        if (m_ModelContextPtr.get() != nullptr)
        {
            auto modelOptions = dynamic_cast<NeonBackendModelContext*>(m_ModelContextPtr.get());
            if (modelOptions)
            {
                isFastMathEnabled = modelOptions->IsFastMathEnabled();
            }
        }
    }
#endif
 
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonConvolution2dWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor,
                                   weights,
                                   biases,
                                   isFastMathEnabled,
                                   nullptr);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonConvolution2dWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsConvolution3dSupported()

bool IsConvolution3dSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const Convolution3dDescriptor &	descriptor,
		const TensorInfo &	weights,
		const Optional< TensorInfo > &	biases,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1017 of file NeonLayerSupport.cpp.

{
    bool isFastMathEnabled = false;
#if defined(ARMCOMPUTENEON_ENABLED)
    if (m_ModelContextPtr)
    {
        if (m_ModelContextPtr.get() != nullptr)
        {
            auto modelOptions = dynamic_cast<NeonBackendModelContext*>(m_ModelContextPtr.get());
            if (modelOptions)
            {
                isFastMathEnabled = modelOptions->IsFastMathEnabled();
            }
        }
    }
#endif
 
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonConvolution3dWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor,
                                   weights,
                                   biases,
                                   isFastMathEnabled,
                                   nullptr);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonConvolution3dWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsDepthToSpaceSupported()

bool IsDepthToSpaceSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const DepthToSpaceDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1050 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonDepthToSpaceWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonDepthToSpaceWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsDepthwiseConvolutionSupported()

bool IsDepthwiseConvolutionSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const DepthwiseConvolution2dDescriptor &	descriptor,
		const TensorInfo &	weights,
		const Optional< TensorInfo > &	biases,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1062 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonDepthwiseConvolutionWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor,
                                   weights,
                                   biases,
                                   nullptr);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonDepthwiseConvolutionWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsDequantizeSupported()

bool IsDequantizeSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1079 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonDequantizeWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonDequantizeWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsDilatedDepthwiseConvolutionSupported()

bool IsDilatedDepthwiseConvolutionSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const DepthwiseConvolution2dDescriptor &	descriptor,
		const TensorInfo &	weights,
		const Optional< TensorInfo > &	biases,
		Optional< std::string & >	reason = EmptyOptional() ) const

Definition at line 1089 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonDepthwiseConvolutionWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor,
                                   weights,
                                   biases,
                                   nullptr);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonDepthwiseConvolutionWorkloadValidate().

◆ IsDivisionSupported()

bool IsDivisionSupported	(	const TensorInfo &	input0,
		const TensorInfo &	input1,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1373 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonDivisionWorkloadValidate,
                                   reasonIfUnsupported,
                                   input0,
                                   input1,
                                   output,
                                   nullptr);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonDivisionWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsElementwiseUnarySupported()

bool IsElementwiseUnarySupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const ElementwiseUnaryDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1106 of file NeonLayerSupport.cpp.

{
    switch(descriptor.m_Operation)
    {
        case UnaryOperation::Abs:
            FORWARD_WORKLOAD_VALIDATE_FUNC(NeonAbsWorkloadValidate,
                                           reasonIfUnsupported,
                                           input,
                                           output);
        case UnaryOperation::Exp:
            FORWARD_WORKLOAD_VALIDATE_FUNC(NeonExpWorkloadValidate,
                                           reasonIfUnsupported,
                                           input,
                                           output);
        case UnaryOperation::LogicalNot:
            FORWARD_WORKLOAD_VALIDATE_FUNC(NeonLogicalNotWorkloadValidate,
                                           reasonIfUnsupported,
                                           input,
                                           output);
       case UnaryOperation::Log:
            FORWARD_WORKLOAD_VALIDATE_FUNC(NeonLogWorkloadValidate,
                                           reasonIfUnsupported,
                                           input,
                                           output);
        case UnaryOperation::Neg:
            FORWARD_WORKLOAD_VALIDATE_FUNC(NeonNegWorkloadValidate,
                                           reasonIfUnsupported,
                                           input,
                                           output);
        case UnaryOperation::Rsqrt:
            FORWARD_WORKLOAD_VALIDATE_FUNC(NeonRsqrtWorkloadValidate,
                                           reasonIfUnsupported,
                                           input,
                                           output);
        case UnaryOperation::Sin:
            FORWARD_WORKLOAD_VALIDATE_FUNC(NeonSinWorkloadValidate,
                                           reasonIfUnsupported,
                                           input,
                                           output);
        case UnaryOperation::Sqrt:
            FORWARD_WORKLOAD_VALIDATE_FUNC(NeonSqrtWorkloadValidate,
                                           reasonIfUnsupported,
                                           input,
                                           output);
        default:
            return false;
    }
}

References armnn::Abs, armnn::Exp, FORWARD_WORKLOAD_VALIDATE_FUNC, armnn::Log, armnn::LogicalNot, ElementwiseUnaryDescriptor::m_Operation, armnn::Neg, armnn::NeonAbsWorkloadValidate(), armnn::NeonExpWorkloadValidate(), armnn::NeonLogicalNotWorkloadValidate(), armnn::NeonLogWorkloadValidate(), armnn::NeonNegWorkloadValidate(), armnn::NeonRsqrtWorkloadValidate(), armnn::NeonSinWorkloadValidate(), armnn::NeonSqrtWorkloadValidate(), armnn::Rsqrt, armnn::Sin, and armnn::Sqrt.

Referenced by armnn::IsLayerTypeSupported().

◆ IsFillSupported()

bool IsFillSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const FillDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1158 of file NeonLayerSupport.cpp.

{
    armnn::IgnoreUnused(input);
    armnn::IgnoreUnused(output);
    armnn::IgnoreUnused(descriptor);
 
    return IsNeonBackendSupported(reasonIfUnsupported);
}

References armnn::IgnoreUnused().

Referenced by armnn::IsLayerTypeSupported().

◆ IsFloorSupported()

bool IsFloorSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1170 of file NeonLayerSupport.cpp.

{
    armnn::IgnoreUnused(output);
    return IsNeonBackendSupported(reasonIfUnsupported) &&
           IsSupportedForDataTypeGeneric(reasonIfUnsupported,
                                         input.GetDataType(),
                                         &FalseFuncF16<>,
                                         &TrueFunc<>,
                                         &FalseFuncU8<>,
                                         &FalseFuncI32<>,
                                         &FalseFuncU8<>);
}

References armnn::FalseFuncF16(), armnn::FalseFuncI32(), armnn::FalseFuncU8(), TensorInfo::GetDataType(), armnn::IgnoreUnused(), armnn::IsSupportedForDataTypeGeneric(), and armnn::TrueFunc().

Referenced by armnn::IsLayerTypeSupported().

◆ IsFullyConnectedSupported()

bool IsFullyConnectedSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const TensorInfo &	weights,
		const TensorInfo &	biases,
		const FullyConnectedDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1185 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonFullyConnectedWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   weights,
                                   biases,
                                   descriptor,
                                   nullptr);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonFullyConnectedWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsFusedSupported()

bool IsFusedSupported	(	const std::vector< std::reference_wrapper< TensorInfo > > &	inputs,
		const std::vector< std::reference_wrapper< TensorInfo > > &	outputs,
		const FusedDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1202 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonFusedWorkloadValidate,
                                   reasonIfUnsupported,
                                   inputs,
                                   outputs,
                                   descriptor,
                                   nullptr);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonFusedWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsGatherNdSupported()

bool IsGatherNdSupported	(	const TensorInfo &	input0,
		const TensorInfo &	input1,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported ) const

Definition at line 1229 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonGatherNdWorkloadValidate,
                                   reasonIfUnsupported,
                                   input0,
                                   input1,
                                   output);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonGatherNdWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsGatherSupported()

bool IsGatherSupported	(	const TensorInfo &	input0,
		const TensorInfo &	input1,
		const TensorInfo &	output,
		const GatherDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported ) const

Definition at line 1215 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonGatherWorkloadValidate,
                                   reasonIfUnsupported,
                                   input0,
                                   input1,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonGatherWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsInputSupported()

bool IsInputSupported	(	const TensorInfo &	input,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1241 of file NeonLayerSupport.cpp.

{
    return IsNeonBackendSupported(reasonIfUnsupported, input);
}

Referenced by armnn::IsLayerTypeSupported().

◆ IsInstanceNormalizationSupported()

bool IsInstanceNormalizationSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const InstanceNormalizationDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1247 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonInstanceNormalizationWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonInstanceNormalizationWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsL2NormalizationSupported()

bool IsL2NormalizationSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const L2NormalizationDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1259 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonL2NormalizationWorkloadValidate, reasonIfUnsupported, input, output, descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonL2NormalizationWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsLayerSupported()

bool IsLayerSupported	(	const LayerType &	type,
		const std::vector< TensorInfo > &	infos,
		const BaseDescriptor &	descriptor,
		const Optional< LstmInputParamsInfo > &	lstmParamsInfo,
		const Optional< QuantizedLstmInputParamsInfo > &	quantizedLstmParamsInfo,
		Optional< std::string & >	reasonIfUnsupported ) const

overridevirtual

Default implementation of the ILayerSupport interface, Backends should implement this as a switch statement for each of their LayerTypes calling their specific backend implementation of IsXXXLayerSupported.

Reimplemented from LayerSupportBase.

Definition at line 731 of file NeonLayerSupport.cpp.

{
    bool isSupported = IsLayerTypeSupported(type,
                                            infos,
                                            descriptor,
                                            lstmParamsInfo,
                                            quantizedLstmParamsInfo,
                                            reasonIfUnsupported,
                                            *this);
 
    // For android-nn-driver to run FP16 operations on CpuAcc we need at least v8.2
    // architecture. If the available architecture is older than v8.2, we can check if the operator is
    // supported by changing operator inputs & outputs to be FP32.
    // This does not change the operator datatype in the above parsers to be FP32. We are simply reporting
    // to the parsers if the operator can supported in ArmNN. We will then re-enter ArmNN (Network.cpp)
    // where we will recheck IsLayerSupported() on the FP16 datatype, update the operator to be FP32,
    // and, insert convert layers around the FP32 operator.
    if (reasonIfUnsupported.has_value())
    {
        std::string checkStr = "This CPU architecture does not support F16 data type, you need v8.2 or above";
        if (!isSupported
            && reasonIfUnsupported.value().find(checkStr) != std::string::npos)
        {
            std::vector<TensorInfo> newInfos;
            for (auto               info: infos)
            {
                newInfos.emplace_back(OverrideDataType(info, DataType::Float32));
            }
 
            std::string tmpString;
            return IsLayerTypeSupported(type,
                                        newInfos,
                                        descriptor,
                                        lstmParamsInfo,
                                        quantizedLstmParamsInfo,
                                        tmpString,
                                        *this);
        }
    }
 
    return isSupported;
}

References armnn::Float32, OptionalBase::has_value(), armnn::info, armnn::IsLayerTypeSupported(), and OptionalReferenceSwitch< IsReference, T >::value().

◆ IsLogicalBinarySupported()

bool IsLogicalBinarySupported	(	const TensorInfo &	input0,
		const TensorInfo &	input1,
		const TensorInfo &	output,
		const LogicalBinaryDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported ) const

Definition at line 1267 of file NeonLayerSupport.cpp.

{
    switch(descriptor.m_Operation)
    {
        case LogicalBinaryOperation::LogicalAnd:
            FORWARD_WORKLOAD_VALIDATE_FUNC(NeonLogicalAndWorkloadValidate,
                                           reasonIfUnsupported,
                                           input0,
                                           input1,
                                           output);
        case LogicalBinaryOperation::LogicalOr:
            FORWARD_WORKLOAD_VALIDATE_FUNC(NeonLogicalOrWorkloadValidate,
                                           reasonIfUnsupported,
                                           input0,
                                           input1,
                                           output);
        default:
            return false;
    }
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, armnn::LogicalAnd, armnn::LogicalOr, LogicalBinaryDescriptor::m_Operation, armnn::NeonLogicalAndWorkloadValidate(), and armnn::NeonLogicalOrWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsLogSoftmaxSupported()

bool IsLogSoftmaxSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const LogSoftmaxDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1292 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonLogSoftmaxWorkloadValidate, reasonIfUnsupported, input, output, descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonLogSoftmaxWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsLstmSupported()

bool IsLstmSupported	(	const TensorInfo &	input,
		const TensorInfo &	outputStateIn,
		const TensorInfo &	cellStateIn,
		const TensorInfo &	scratchBuffer,
		const TensorInfo &	outputStateOut,
		const TensorInfo &	cellStateOut,
		const TensorInfo &	output,
		const LstmDescriptor &	descriptor,
		const LstmInputParamsInfo &	paramsInfo,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1300 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonLstmFloatWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   outputStateIn,
                                   cellStateIn,
                                   scratchBuffer,
                                   outputStateOut,
                                   cellStateOut,
                                   output,
                                   descriptor,
                                   paramsInfo);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonLstmFloatWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsMaximumSupported()

bool IsMaximumSupported	(	const TensorInfo &	input0,
		const TensorInfo &	input1,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1324 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonMaximumWorkloadValidate,
                                   reasonIfUnsupported,
                                   input0,
                                   input1,
                                   output);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonMaximumWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsMeanSupported()

bool IsMeanSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const MeanDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1336 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonMeanWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonMeanWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsMinimumSupported()

bool IsMinimumSupported	(	const TensorInfo &	input0,
		const TensorInfo &	input1,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1348 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonMinimumWorkloadValidate,
                                   reasonIfUnsupported,
                                   input0,
                                   input1,
                                   output);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonMinimumWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsMultiplicationSupported()

bool IsMultiplicationSupported	(	const TensorInfo &	input0,
		const TensorInfo &	input1,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1360 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonMultiplicationWorkloadValidate,
                                   reasonIfUnsupported,
                                   input0,
                                   input1,
                                   output,
                                   nullptr);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonMultiplicationWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsNormalizationSupported()

bool IsNormalizationSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const NormalizationDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1386 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonNormalizationWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonNormalizationWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsOutputSupported()

bool IsOutputSupported	(	const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1398 of file NeonLayerSupport.cpp.

{
    return IsNeonBackendSupported(reasonIfUnsupported, output);
}

Referenced by armnn::IsLayerTypeSupported().

◆ IsPadSupported()

bool IsPadSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const PadDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1404 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonPadWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonPadWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsPermuteSupported()

bool IsPermuteSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const PermuteDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1416 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonPermuteWorkloadValidate, reasonIfUnsupported, input, output, descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonPermuteWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsPooling2dSupported()

bool IsPooling2dSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const Pooling2dDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1424 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonPooling2dWorkloadValidate, reasonIfUnsupported, input, output, descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonPooling2dWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsPooling3dSupported()

bool IsPooling3dSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const Pooling3dDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1432 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonPooling3dWorkloadValidate, reasonIfUnsupported, input, output, descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonPooling3dWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsPreluSupported()

bool IsPreluSupported	(	const TensorInfo &	input,
		const TensorInfo &	alpha,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1440 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonPreluWorkloadValidate, reasonIfUnsupported, input, alpha, output);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonPreluWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsQLstmSupported()

bool IsQLstmSupported	(	const TensorInfo &	input,
		const TensorInfo &	previousOutputIn,
		const TensorInfo &	previousCellStateIn,
		const TensorInfo &	outputStateOut,
		const TensorInfo &	cellStateOut,
		const TensorInfo &	output,
		const QLstmDescriptor &	descriptor,
		const LstmInputParamsInfo &	paramsInfo,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1448 of file NeonLayerSupport.cpp.

{
    // Check required here in order to pass IsLayerSupported for datatypes tests
    if (input.GetDataType()               == armnn::DataType::QAsymmS8 &&
        previousOutputIn.GetDataType()    == armnn::DataType::QAsymmS8 &&
        previousCellStateIn.GetDataType() == armnn::DataType::QSymmS16 &&
        outputStateOut.GetDataType()      == armnn::DataType::QAsymmS8 &&
        cellStateOut.GetDataType()        == armnn::DataType::QSymmS16 &&
        output.GetDataType()              == armnn::DataType::QAsymmS8)
    {
        FORWARD_WORKLOAD_VALIDATE_FUNC(NeonQLstmWorkloadValidate,
                                       reasonIfUnsupported,
                                       input,
                                       previousCellStateIn,
                                       previousOutputIn,
                                       cellStateOut,
                                       outputStateOut,
                                       output,
                                       descriptor,
                                       paramsInfo);
    }
    else
    {
        return false;
    }
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, TensorInfo::GetDataType(), armnn::NeonQLstmWorkloadValidate(), armnn::QAsymmS8, and armnn::QSymmS16.

Referenced by armnn::IsLayerTypeSupported().

◆ IsQuantizedLstmSupported()

bool IsQuantizedLstmSupported	(	const TensorInfo &	input,
		const TensorInfo &	cellStateIn,
		const TensorInfo &	outputStateIn,
		const TensorInfo &	cellStateOut,
		const TensorInfo &	outputStateOut,
		const QuantizedLstmInputParamsInfo &	paramsInfo,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1493 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonQuantizedLstmWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   cellStateIn,
                                   outputStateIn,
                                   cellStateOut,
                                   outputStateOut,
                                   paramsInfo);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonQuantizedLstmWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsQuantizeSupported()

bool IsQuantizeSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1483 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonQuantizeWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonQuantizeWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsReduceSupported()

bool IsReduceSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const ReduceDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1511 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonReduceWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonReduceWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsReshapeSupported()

bool IsReshapeSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const ReshapeDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1523 of file NeonLayerSupport.cpp.

{
    armnn::IgnoreUnused(descriptor);
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonReshapeWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, armnn::IgnoreUnused(), and armnn::NeonReshapeWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsResizeSupported()

bool IsResizeSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const ResizeDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1535 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonResizeWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonResizeWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsReverseV2Supported()

bool IsReverseV2Supported	(	const TensorInfo &	input,
		const TensorInfo &	axis,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported ) const

Definition at line 1547 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonReverseV2WorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   axis,
                                   output);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonReverseV2WorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsSliceSupported()

bool IsSliceSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const SliceDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1559 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonSliceWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonSliceWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsSoftmaxSupported()

bool IsSoftmaxSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const SoftmaxDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1571 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonSoftmaxWorkloadValidate, reasonIfUnsupported, input, output, descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonSoftmaxWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsSpaceToBatchNdSupported()

bool IsSpaceToBatchNdSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const SpaceToBatchNdDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1579 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonSpaceToBatchNdWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonSpaceToBatchNdWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsSpaceToDepthSupported()

bool IsSpaceToDepthSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const SpaceToDepthDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1591 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonSpaceToDepthWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonSpaceToDepthWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsSplitterSupported()

bool IsSplitterSupported	(	const TensorInfo &	input,
		const std::vector< std::reference_wrapper< TensorInfo > > &	outputs,
		const ViewsDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1603 of file NeonLayerSupport.cpp.

{
#if defined(ARMCOMPUTENEON_ENABLED)
    // Split along the last dimension, cannot use sub-tensors
    // as width and height of the sub-tensors do not match
    // the width and height of the parent tensor
    // in case of input with more than 2D.
    std::set<unsigned int> splitAxis = ComputeSplitAxis(descriptor, input.GetShape());
    if (descriptor.GetNumDimensions() > 2 && splitAxis.size() == 1 &&
        *splitAxis.begin() == descriptor.GetNumDimensions() - 1 )
    {
        FORWARD_WORKLOAD_VALIDATE_FUNC(NeonSplitterWorkloadValidate,
                                       reasonIfUnsupported,
                                       input,
                                       outputs,
                                       *splitAxis.begin());
    }
#endif
    IgnoreUnused(descriptor);
    for (auto output : outputs)
    {
        if (!input.IsTypeSpaceMatch(output)) // Cannot use sub-tensors if the types are not same space
        {
            SetValueChecked(reasonIfUnsupported, "Neon Splitter: Types and quantization parameters must match.");
            return false;
        }
    }
    return true;
}

References armnn::ComputeSplitAxis(), FORWARD_WORKLOAD_VALIDATE_FUNC, ViewsDescriptor::GetNumDimensions(), TensorInfo::GetShape(), armnn::IgnoreUnused(), TensorInfo::IsTypeSpaceMatch(), armnn::NeonSplitterWorkloadValidate(), and armnn::SetValueChecked().

Referenced by armnn::IsLayerTypeSupported().

◆ IsStackSupported()

bool IsStackSupported	(	const std::vector< const TensorInfo * > &	inputs,
		const TensorInfo &	output,
		const StackDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1636 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonStackWorkloadValidate,
                                   reasonIfUnsupported,
                                   inputs,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonStackWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsStridedSliceSupported()

bool IsStridedSliceSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const StridedSliceDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1648 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonStridedSliceWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonStridedSliceWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsSubtractionSupported()

bool IsSubtractionSupported	(	const TensorInfo &	input0,
		const TensorInfo &	input1,
		const TensorInfo &	output,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1660 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonSubtractionWorkloadValidate,
                                   reasonIfUnsupported,
                                   input0,
                                   input1,
                                   output,
                                   nullptr);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonSubtractionWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsTileSupported()

bool IsTileSupported	(	const TensorInfo &	input0,
		const TensorInfo &	output,
		const TileDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1673 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonTileWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonTileWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsTransposeConvolution2dSupported()

bool IsTransposeConvolution2dSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const TransposeConvolution2dDescriptor &	descriptor,
		const TensorInfo &	weights,
		const Optional< TensorInfo > &	biases,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1685 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonTransposeConvolution2dWorkloadValidate,
                                   reasonIfUnsupported,
                                   input,
                                   output,
                                   descriptor,
                                   weights,
                                   biases);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonTransposeConvolution2dWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsTransposeSupported()

bool IsTransposeSupported	(	const TensorInfo &	input,
		const TensorInfo &	output,
		const TransposeDescriptor &	descriptor,
		Optional< std::string & >	reasonIfUnsupported = EmptyOptional() ) const

Definition at line 1701 of file NeonLayerSupport.cpp.

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonTransposeWorkloadValidate, reasonIfUnsupported, input, output, descriptor);
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonTransposeWorkloadValidate().

Referenced by armnn::IsLayerTypeSupported().

◆ IsUnidirectionalSequenceLstmSupported()

bool IsUnidirectionalSequenceLstmSupported	(	const TensorInfo &	input,
		const TensorInfo &	outputStateIn,
		const TensorInfo &	cellStateIn,
		const TensorInfo &	outputStateOut,
		const TensorInfo &	cellStateOut,
		const TensorInfo &	output,
		const UnidirectionalSequenceLstmDescriptor &	descriptor,
		const LstmInputParamsInfo &	paramsInfo,
		Optional< std::string & >	reasonIfUnsupported ) const

Definition at line 1709 of file NeonLayerSupport.cpp.

{
    if (input.GetDataType() == armnn::DataType::QAsymmS8 &&
        outputStateIn.GetDataType() == armnn::DataType::QAsymmS8 &&
        cellStateIn.GetDataType() == armnn::DataType::QSymmS16 &&
        outputStateOut.GetDataType() == armnn::DataType::QAsymmS8 &&
        cellStateOut.GetDataType() == armnn::DataType::QSymmS16 &&
        output.GetDataType() == armnn::DataType::QAsymmS8)
    {
        FORWARD_WORKLOAD_VALIDATE_FUNC(NeonUnidirectionalSequenceLstmWorkloadValidate,
                                       reasonIfUnsupported,
                                       input,
                                       outputStateIn,
                                       cellStateIn,
                                       outputStateOut,
                                       cellStateOut,
                                       output,
                                       descriptor,
                                       paramsInfo);
    }
    else
    {
        FORWARD_WORKLOAD_VALIDATE_FUNC(NeonUnidirectionalSequenceLstmFloatWorkloadValidate,
                                       reasonIfUnsupported,
                                       input,
                                       outputStateIn,
                                       cellStateIn,
                                       outputStateOut,
                                       cellStateOut,
                                       output,
                                       descriptor,
                                       paramsInfo);
    }
}

References FORWARD_WORKLOAD_VALIDATE_FUNC, TensorInfo::GetDataType(), armnn::NeonUnidirectionalSequenceLstmFloatWorkloadValidate(), armnn::NeonUnidirectionalSequenceLstmWorkloadValidate(), armnn::QAsymmS8, and armnn::QSymmS16.

Referenced by armnn::IsLayerTypeSupported().

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

src/backends/neon/NeonLayerSupport.hpp
src/backends/neon/NeonLayerSupport.cpp

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ NeonLayerSupport() [1/2]

◆ NeonLayerSupport() [2/2]

◆ ~NeonLayerSupport()

Member Function Documentation

◆ IsActivationSupported()

◆ IsAdditionSupported()

◆ IsArgMinMaxSupported()

◆ IsBatchMatMulSupported()

◆ IsBatchNormalizationSupported()

◆ IsBatchToSpaceNdSupported()

◆ IsCastSupported()

◆ IsChannelShuffleSupported()

◆ IsComparisonSupported()

◆ IsConcatSupported()

◆ IsConstantSupported()

◆ IsConvertFp16ToFp32Supported()

◆ IsConvertFp32ToFp16Supported()

◆ IsConvolution2dSupported()

◆ IsConvolution3dSupported()

◆ IsDepthToSpaceSupported()

◆ IsDepthwiseConvolutionSupported()

◆ IsDequantizeSupported()

◆ IsDilatedDepthwiseConvolutionSupported()

◆ IsDivisionSupported()

◆ IsElementwiseUnarySupported()

◆ IsFillSupported()

◆ IsFloorSupported()

◆ IsFullyConnectedSupported()

◆ IsFusedSupported()

◆ IsGatherNdSupported()

◆ IsGatherSupported()

◆ IsInputSupported()

◆ IsInstanceNormalizationSupported()

◆ IsL2NormalizationSupported()

◆ IsLayerSupported()

◆ IsLogicalBinarySupported()

◆ IsLogSoftmaxSupported()

◆ IsLstmSupported()

◆ IsMaximumSupported()

◆ IsMeanSupported()

◆ IsMinimumSupported()

◆ IsMultiplicationSupported()

◆ IsNormalizationSupported()

◆ IsOutputSupported()

◆ IsPadSupported()

◆ IsPermuteSupported()

◆ IsPooling2dSupported()

◆ IsPooling3dSupported()

◆ IsPreluSupported()

◆ IsQLstmSupported()

◆ IsQuantizedLstmSupported()

◆ IsQuantizeSupported()

◆ IsReduceSupported()

◆ IsReshapeSupported()

◆ IsResizeSupported()

◆ IsReverseV2Supported()

◆ IsSliceSupported()

◆ IsSoftmaxSupported()

◆ IsSpaceToBatchNdSupported()

◆ IsSpaceToDepthSupported()

◆ IsSplitterSupported()

◆ IsStackSupported()

◆ IsStridedSliceSupported()

◆ IsSubtractionSupported()

◆ IsTileSupported()

◆ IsTransposeConvolution2dSupported()

◆ IsTransposeSupported()

◆ IsUnidirectionalSequenceLstmSupported()