NeonLayerSupport Class Reference

#include <NeonLayerSupport.hpp>

Inheritance 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
bool	IsActivationSupported (const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsAdditionSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsArgMinMaxSupported (const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
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 override
bool	IsBatchToSpaceNdSupported (const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsCastSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsChannelShuffleSupported (const TensorInfo &input, const TensorInfo &output, const ChannelShuffleDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsComparisonSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ComparisonDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConcatSupported (const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConstantSupported (const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConvertBf16ToFp32Supported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConvertFp16ToFp32Supported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConvertFp32ToBf16Supported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConvertFp32ToFp16Supported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConvolution2dSupported (const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConvolution3dSupported (const TensorInfo &input, const TensorInfo &output, const Convolution3dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsDepthToSpaceSupported (const TensorInfo &input, const TensorInfo &output, const DepthToSpaceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsDepthwiseConvolutionSupported (const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsDequantizeSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsDilatedDepthwiseConvolutionSupported (const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reason=EmptyOptional()) const override
bool	IsElementwiseUnarySupported (const TensorInfo &input, const TensorInfo &output, const ElementwiseUnaryDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsFillSupported (const TensorInfo &input, const TensorInfo &output, const FillDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsFloorSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsFullyConnectedSupported (const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
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 override
bool	IsInputSupported (const TensorInfo &input, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsInstanceNormalizationSupported (const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsL2NormalizationSupported (const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsLogicalBinarySupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const LogicalBinaryDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported) const override
bool	IsLogSoftmaxSupported (const TensorInfo &input, const TensorInfo &output, const LogSoftmaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
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 override
bool	IsMaximumSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsMeanSupported (const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsMinimumSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsMultiplicationSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsDivisionSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsNormalizationSupported (const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsOutputSupported (const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsPadSupported (const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsPermuteSupported (const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsPooling2dSupported (const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsPooling3dSupported (const TensorInfo &input, const TensorInfo &output, const Pooling3dDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsPreluSupported (const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
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 override
bool	IsQuantizeSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
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 override
bool	IsReduceSupported (const TensorInfo &input, const TensorInfo &output, const ReduceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsReshapeSupported (const TensorInfo &input, const TensorInfo &output, const ReshapeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsResizeSupported (const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsSliceSupported (const TensorInfo &input, const TensorInfo &output, const SliceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsSoftmaxSupported (const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsSpaceToBatchNdSupported (const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsSpaceToDepthSupported (const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsSplitterSupported (const TensorInfo &input, const std::vector< std::reference_wrapper< TensorInfo >> &outputs, const ViewsDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsStackSupported (const std::vector< const TensorInfo *> &inputs, const TensorInfo &output, const StackDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsStridedSliceSupported (const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsSubtractionSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsTransposeConvolution2dSupported (const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsTransposeSupported (const TensorInfo &input, const TensorInfo &output, const TransposeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
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 override
Public Member Functions inherited from LayerSupportBase
bool	IsActivationSupported (const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsAdditionSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsArgMinMaxSupported (const TensorInfo &input, const TensorInfo &output, const ArgMinMaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
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 override
bool	IsBatchToSpaceNdSupported (const TensorInfo &input, const TensorInfo &output, const BatchToSpaceNdDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsCastSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsChannelShuffleSupported (const TensorInfo &input, const TensorInfo &output, const ChannelShuffleDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsComparisonSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ComparisonDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConcatSupported (const std::vector< const TensorInfo *> inputs, const TensorInfo &output, const OriginsDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConstantSupported (const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConvertBf16ToFp32Supported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConvertFp16ToFp32Supported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConvertFp32ToBf16Supported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConvertFp32ToFp16Supported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConvolution2dSupported (const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsConvolution3dSupported (const TensorInfo &input, const TensorInfo &output, const Convolution3dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsDebugSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsDepthToSpaceSupported (const TensorInfo &input, const TensorInfo &output, const DepthToSpaceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsDepthwiseConvolutionSupported (const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsDequantizeSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
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 override
bool	IsDilatedDepthwiseConvolutionSupported (const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsDivisionSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsElementwiseUnarySupported (const TensorInfo &input, const TensorInfo &output, const ElementwiseUnaryDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsFakeQuantizationSupported (const TensorInfo &input, const FakeQuantizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsFloorSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsFullyConnectedSupported (const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const TensorInfo &biases, const FullyConnectedDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsGatherSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const GatherDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsInputSupported (const TensorInfo &input, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsInstanceNormalizationSupported (const TensorInfo &input, const TensorInfo &output, const InstanceNormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsL2NormalizationSupported (const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsLogicalBinarySupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const LogicalBinaryDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsLogicalUnarySupported (const TensorInfo &input, const TensorInfo &output, const ElementwiseUnaryDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsLogSoftmaxSupported (const TensorInfo &input, const TensorInfo &output, const LogSoftmaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
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 override
bool	IsMaximumSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsMeanSupported (const TensorInfo &input, const TensorInfo &output, const MeanDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsMemCopySupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsMemImportSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsMergeSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsMinimumSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsMultiplicationSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsNormalizationSupported (const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsOutputSupported (const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsPadSupported (const TensorInfo &input, const TensorInfo &output, const PadDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsPermuteSupported (const TensorInfo &input, const TensorInfo &output, const PermuteDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsPooling2dSupported (const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsPooling3dSupported (const TensorInfo &input, const TensorInfo &output, const Pooling3dDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsPreCompiledSupported (const TensorInfo &input, const PreCompiledDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsPreluSupported (const TensorInfo &input, const TensorInfo &alpha, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported) const override
bool	IsQuantizeSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
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 override
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 override
bool	IsRankSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported) const override
bool	IsReduceSupported (const TensorInfo &input, const TensorInfo &output, const ReduceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsReshapeSupported (const TensorInfo &input, const TensorInfo &output, const ReshapeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsResizeSupported (const TensorInfo &input, const TensorInfo &output, const ResizeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsShapeSupported (const TensorInfo &input, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsSliceSupported (const TensorInfo &input, const TensorInfo &output, const SliceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsSoftmaxSupported (const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsSpaceToBatchNdSupported (const TensorInfo &input, const TensorInfo &output, const SpaceToBatchNdDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsSpaceToDepthSupported (const TensorInfo &input, const TensorInfo &output, const SpaceToDepthDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsSplitterSupported (const TensorInfo &input, const std::vector< std::reference_wrapper< TensorInfo >> &outputs, const ViewsDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsStackSupported (const std::vector< const TensorInfo *> &inputs, const TensorInfo &output, const StackDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsStandInSupported (const std::vector< const TensorInfo *> &inputs, const std::vector< const TensorInfo *> &outputs, const StandInDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsStridedSliceSupported (const TensorInfo &input, const TensorInfo &output, const StridedSliceDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsSubtractionSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsSwitchSupported (const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output0, const TensorInfo &output1, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsTransposeConvolution2dSupported (const TensorInfo &input, const TensorInfo &output, const TransposeConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsTransposeSupported (const TensorInfo &input, const TensorInfo &output, const TransposeDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
bool	IsUnidirectionalSequenceLstmSupported (const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const LstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) const override
Public Member Functions inherited from ILayerSupport
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsActivationSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsAdditionSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsArgMinMaxSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsBatchNormalizationSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsBatchToSpaceNdSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsCastSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsChannelShuffleSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsComparisonSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsConvertBf16ToFp32Supported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsConvertFp32ToBf16Supported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsConvertFp16ToFp32Supported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsConvertFp32ToFp16Supported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsConvolution2dSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsConvolution3dSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsDebugSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsDepthToSpaceSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsDepthwiseConvolutionSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsDequantizeSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsDetectionPostProcessSupported(const TensorInfo &boxEncodings
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsDilatedDepthwiseConvolutionSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsDivisionSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsElementwiseUnarySupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsFakeQuantizationSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsFillSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsFloorSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsFullyConnectedSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsGatherSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsInputSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsInstanceNormalizationSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsL2NormalizationSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsLogicalBinarySupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsLogicalUnarySupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsLogSoftmaxSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsLstmSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsMaximumSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsMeanSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsMemCopySupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsMemImportSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsMergeSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsMinimumSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsMultiplicationSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsNormalizationSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsOutputSupported(const TensorInfo &output
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsPadSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsPermuteSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsPooling2dSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsPooling3dSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsPreCompiledSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsPreluSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsQuantizeSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsQLstmSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsQuantizedLstmSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsRankSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsReduceSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsReshapeSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsResizeSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsShapeSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsSliceSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsSoftmaxSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsSpaceToBatchNdSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsSpaceToDepthSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsSplitterSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsSubtractionSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsSwitchSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsTransposeConvolution2dSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsTransposeSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsUnidirectionalSequenceLstmSupported(const TensorInfo &input

Additional Inherited Members
Public Attributes inherited from ILayerSupport
const TensorInfo &	output
const TensorInfo const ActivationDescriptor &	descriptor
const TensorInfo const ActivationDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo &	input1
const TensorInfo const TensorInfo &	output
const TensorInfo const TensorInfo Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const ArgMinMaxDescriptor &	descriptor
const TensorInfo const ArgMinMaxDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const TensorInfo &	mean
const TensorInfo const TensorInfo const TensorInfo &	var
const TensorInfo const TensorInfo const TensorInfo const TensorInfo &	beta
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo &	gamma
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const BatchNormalizationDescriptor &	descriptor
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const BatchNormalizationDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const BatchToSpaceNdDescriptor &	descriptor
const TensorInfo const BatchToSpaceNdDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const ChannelShuffleDescriptor &	descriptor
const TensorInfo const ChannelShuffleDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const TensorInfo const ComparisonDescriptor &	descriptor
const TensorInfo const TensorInfo const ComparisonDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
ARMNN_DEPRECATED_MSG_REMOVAL_DATE("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsConcatSupported(const std Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const Convolution2dDescriptor &	descriptor
const TensorInfo const Convolution2dDescriptor const TensorInfo &	weights
const TensorInfo const Convolution2dDescriptor const TensorInfo const Optional< TensorInfo > &	biases
const TensorInfo const Convolution2dDescriptor const TensorInfo const Optional< TensorInfo > Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const Convolution3dDescriptor &	descriptor
const TensorInfo const Convolution3dDescriptor const TensorInfo &	weights
const TensorInfo const Convolution3dDescriptor const TensorInfo const Optional< TensorInfo > &	biases
const TensorInfo const Convolution3dDescriptor const TensorInfo const Optional< TensorInfo > Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const DepthToSpaceDescriptor &	descriptor
const TensorInfo const DepthToSpaceDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const DepthwiseConvolution2dDescriptor &	descriptor
const TensorInfo const DepthwiseConvolution2dDescriptor const TensorInfo &	weights
const TensorInfo const DepthwiseConvolution2dDescriptor const TensorInfo const Optional< TensorInfo > &	biases
const TensorInfo const DepthwiseConvolution2dDescriptor const TensorInfo const Optional< TensorInfo > Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo &	scores
const TensorInfo const TensorInfo &	anchors
const TensorInfo const TensorInfo const TensorInfo &	detectionBoxes
const TensorInfo const TensorInfo const TensorInfo const TensorInfo &	detectionClasses
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo &	detectionScores
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo &	numDetections
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const DetectionPostProcessDescriptor &	descriptor
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const DetectionPostProcessDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const ElementwiseUnaryDescriptor &	descriptor
const TensorInfo const ElementwiseUnaryDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const FakeQuantizationDescriptor &	descriptor
const FakeQuantizationDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const FillDescriptor &	descriptor
const TensorInfo const FillDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const TensorInfo &	weights
const TensorInfo const TensorInfo const TensorInfo &	biases
const TensorInfo const TensorInfo const TensorInfo const FullyConnectedDescriptor &	descriptor
const TensorInfo const TensorInfo const TensorInfo const FullyConnectedDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const TensorInfo const GatherDescriptor &	descriptor
const TensorInfo const TensorInfo const GatherDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const InstanceNormalizationDescriptor &	descriptor
const TensorInfo const InstanceNormalizationDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const L2NormalizationDescriptor &	descriptor
const TensorInfo const L2NormalizationDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const TensorInfo const LogicalBinaryDescriptor &	descriptor
const TensorInfo const TensorInfo const LogicalBinaryDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const LogSoftmaxDescriptor &	descriptor
const TensorInfo const LogSoftmaxDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo &	outputStateIn
const TensorInfo const TensorInfo &	cellStateIn
const TensorInfo const TensorInfo const TensorInfo &	scratchBuffer
const TensorInfo const TensorInfo const TensorInfo const TensorInfo &	outputStateOut
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo &	cellStateOut
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo &	output
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const LstmDescriptor &	descriptor
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const LstmDescriptor const LstmInputParamsInfo &	paramsInfo
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const LstmDescriptor const LstmInputParamsInfo Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const MeanDescriptor &	descriptor
const TensorInfo const MeanDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const TensorInfo &	ouput
const TensorInfo const NormalizationDescriptor &	descriptor
const TensorInfo const NormalizationDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const PadDescriptor &	descriptor
const TensorInfo const PadDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const PermuteDescriptor &	descriptor
const TensorInfo const PermuteDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const Pooling2dDescriptor &	descriptor
const TensorInfo const Pooling2dDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const Pooling3dDescriptor &	descriptor
const TensorInfo const Pooling3dDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const PreCompiledDescriptor &	descriptor
const PreCompiledDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo &	alpha
const TensorInfo &	previousOutputIn
const TensorInfo const TensorInfo &	previousCellStateIn
const TensorInfo const TensorInfo const TensorInfo &	outputStateOut
const TensorInfo const TensorInfo const TensorInfo const TensorInfo &	cellStateOut
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo &	output
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const QLstmDescriptor &	descriptor
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const QLstmDescriptor const LstmInputParamsInfo &	paramsInfo
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const QLstmDescriptor const LstmInputParamsInfo Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo &	previousCellStateIn
const TensorInfo const TensorInfo &	previousOutputIn
const TensorInfo const TensorInfo const TensorInfo &	cellStateOut
const TensorInfo const TensorInfo const TensorInfo const TensorInfo &	output
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const QuantizedLstmInputParamsInfo &	paramsInfo
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const QuantizedLstmInputParamsInfo Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const ReduceDescriptor &	descriptor
const TensorInfo const ReduceDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const ReshapeDescriptor &	descriptor
const TensorInfo const ReshapeDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const ResizeDescriptor &	descriptor
const TensorInfo const ResizeDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const SliceDescriptor &	descriptor
const TensorInfo const SliceDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const SoftmaxDescriptor &	descriptor
const TensorInfo const SoftmaxDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const SpaceToBatchNdDescriptor &	descriptor
const TensorInfo const SpaceToBatchNdDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const SpaceToDepthDescriptor &	descriptor
const TensorInfo const SpaceToDepthDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const std::vector< std::reference_wrapper< TensorInfo > > &	outputs
const std::vector< std::reference_wrapper< TensorInfo > > const ViewsDescriptor &	descriptor
const std::vector< std::reference_wrapper< TensorInfo > > const ViewsDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
ARMNN_DEPRECATED_MSG_REMOVAL_DATE("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsStackSupported(const std ARMNN_DEPRECATED_MSG_REMOVAL_DATE("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsStandInSupported(const std const TensorInfo &	output
ARMNN_DEPRECATED_MSG_REMOVAL_DATE("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsStackSupported(const std ARMNN_DEPRECATED_MSG_REMOVAL_DATE("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsStandInSupported(const std const TensorInfo const StridedSliceDescriptor &	descriptor
ARMNN_DEPRECATED_MSG_REMOVAL_DATE("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsStackSupported(const std ARMNN_DEPRECATED_MSG_REMOVAL_DATE("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "23.08") virtual bool IsStandInSupported(const std const TensorInfo const StridedSliceDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const TensorInfo &	output0
const TensorInfo const TensorInfo const TensorInfo &	output1
const TensorInfo const TensorInfo const TensorInfo Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const TransposeConvolution2dDescriptor &	descriptor
const TensorInfo const TransposeConvolution2dDescriptor const TensorInfo &	weights
const TensorInfo const TransposeConvolution2dDescriptor const TensorInfo const Optional< TensorInfo > &	biases
const TensorInfo const TransposeConvolution2dDescriptor const TensorInfo const Optional< TensorInfo > Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const TransposeDescriptor &	descriptor
const TensorInfo const TransposeDescriptor Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const LstmDescriptor &	descriptor
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const LstmDescriptor const LstmInputParamsInfo &	paramsInfo
const TensorInfo const TensorInfo const TensorInfo const TensorInfo const TensorInfo const LstmDescriptor const LstmInputParamsInfo Optional< std::string & >	reasonIfUnsupported = EmptyOptional()) const
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 144 of file NeonLayerSupport.cpp.

    : m_ModelContextPtr(modelContextPtr)
{
}

NeonLayerSupport() [2/2]

NeonLayerSupport

(

)

Definition at line 149 of file NeonLayerSupport.cpp.

    : m_ModelContextPtr(nullptr)
{
}

~NeonLayerSupport()

~NeonLayerSupport ( )

inline

Definition at line 20 of file NeonLayerSupport.hpp.

References ILayerSupport::alpha, ILayerSupport::beta, ILayerSupport::biases, ILayerSupport::cellStateIn, ILayerSupport::cellStateOut, ILayerSupport::descriptor, ILayerSupport::gamma, ILayerSupport::input1, NeonLayerSupport::IsActivationSupported(), NeonLayerSupport::IsAdditionSupported(), NeonLayerSupport::IsArgMinMaxSupported(), NeonLayerSupport::IsBatchMatMulSupported(), NeonLayerSupport::IsBatchNormalizationSupported(), NeonLayerSupport::IsBatchToSpaceNdSupported(), NeonLayerSupport::IsCastSupported(), NeonLayerSupport::IsChannelShuffleSupported(), NeonLayerSupport::IsComparisonSupported(), NeonLayerSupport::IsConcatSupported(), NeonLayerSupport::IsConstantSupported(), NeonLayerSupport::IsConvertBf16ToFp32Supported(), NeonLayerSupport::IsConvertFp16ToFp32Supported(), NeonLayerSupport::IsConvertFp32ToBf16Supported(), NeonLayerSupport::IsConvertFp32ToFp16Supported(), NeonLayerSupport::IsConvolution2dSupported(), NeonLayerSupport::IsConvolution3dSupported(), NeonLayerSupport::IsDepthToSpaceSupported(), NeonLayerSupport::IsDepthwiseConvolutionSupported(), NeonLayerSupport::IsDequantizeSupported(), NeonLayerSupport::IsDilatedDepthwiseConvolutionSupported(), NeonLayerSupport::IsDivisionSupported(), NeonLayerSupport::IsElementwiseUnarySupported(), NeonLayerSupport::IsFillSupported(), NeonLayerSupport::IsFloorSupported(), NeonLayerSupport::IsFullyConnectedSupported(), NeonLayerSupport::IsGatherNdSupported(), NeonLayerSupport::IsGatherSupported(), NeonLayerSupport::IsInputSupported(), NeonLayerSupport::IsInstanceNormalizationSupported(), NeonLayerSupport::IsL2NormalizationSupported(), NeonLayerSupport::IsLayerSupported(), NeonLayerSupport::IsLogicalBinarySupported(), NeonLayerSupport::IsLogSoftmaxSupported(), NeonLayerSupport::IsLstmSupported(), NeonLayerSupport::IsMaximumSupported(), NeonLayerSupport::IsMeanSupported(), NeonLayerSupport::IsMinimumSupported(), NeonLayerSupport::IsMultiplicationSupported(), NeonLayerSupport::IsNormalizationSupported(), NeonLayerSupport::IsOutputSupported(), NeonLayerSupport::IsPadSupported(), NeonLayerSupport::IsPermuteSupported(), NeonLayerSupport::IsPooling2dSupported(), NeonLayerSupport::IsPooling3dSupported(), NeonLayerSupport::IsPreluSupported(), NeonLayerSupport::IsQLstmSupported(), NeonLayerSupport::IsQuantizedLstmSupported(), NeonLayerSupport::IsQuantizeSupported(), NeonLayerSupport::IsReduceSupported(), NeonLayerSupport::IsReshapeSupported(), NeonLayerSupport::IsResizeSupported(), NeonLayerSupport::IsSliceSupported(), NeonLayerSupport::IsSoftmaxSupported(), NeonLayerSupport::IsSpaceToBatchNdSupported(), NeonLayerSupport::IsSpaceToDepthSupported(), NeonLayerSupport::IsSplitterSupported(), NeonLayerSupport::IsStackSupported(), NeonLayerSupport::IsStridedSliceSupported(), NeonLayerSupport::IsSubtractionSupported(), NeonLayerSupport::IsTransposeConvolution2dSupported(), NeonLayerSupport::IsTransposeSupported(), NeonLayerSupport::IsUnidirectionalSequenceLstmSupported(), ILayerSupport::mean, ILayerSupport::output, ILayerSupport::outputs, ILayerSupport::outputStateIn, ILayerSupport::outputStateOut, ILayerSupport::paramsInfo, ILayerSupport::previousCellStateIn, ILayerSupport::previousOutputIn, ILayerSupport::reasonIfUnsupported, ILayerSupport::scratchBuffer, ILayerSupport::var, and ILayerSupport::weights.

{}

Member Function Documentation

IsActivationSupported()

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

override

Definition at line 599 of file NeonLayerSupport.cpp.

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

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsAdditionSupported()

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

override

Definition at line 612 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonAdditionWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsArgMinMaxSupported()

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

override

Definition at line 625 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonArgMinMaxWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsBatchMatMulSupported()

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

Definition at line 637 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonBatchMatMulValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonBatchMatMulValidate,
                                   reasonIfUnsupported,
                                   inputX,
                                   inputY,
                                   output,
                                   descriptor);
}

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

override

Definition at line 651 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonBatchNormalizationValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsBatchToSpaceNdSupported()

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

override

Definition at line 672 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonBatchToSpaceNdWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsCastSupported()

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

override

Definition at line 684 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonCastValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsChannelShuffleSupported()

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

override

Definition at line 694 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonChannelShuffleValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsComparisonSupported()

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

override

Definition at line 706 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonComparisonWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{

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

IsConcatSupported()

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

override

Definition at line 721 of file NeonLayerSupport.cpp.

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

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{
    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;
    }
}

IsConstantSupported()

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

override

Definition at line 760 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonConstantWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{
    FORWARD_WORKLOAD_VALIDATE_FUNC(NeonConstantWorkloadValidate,
                                   reasonIfUnsupported,
                                   output);
}

IsConvertBf16ToFp32Supported()

bool IsConvertBf16ToFp32Supported ( const TensorInfo &  input, const TensorInfo &  output, Optional< std::string &>  reasonIfUnsupported = EmptyOptional()  ) const

override

Definition at line 768 of file NeonLayerSupport.cpp.

References armnn::IgnoreUnused().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsConvertFp16ToFp32Supported()

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

override

Definition at line 778 of file NeonLayerSupport.cpp.

References armnn::IgnoreUnused().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsConvertFp32ToBf16Supported()

bool IsConvertFp32ToBf16Supported ( const TensorInfo &  input, const TensorInfo &  output, Optional< std::string &>  reasonIfUnsupported = EmptyOptional()  ) const

override

Definition at line 788 of file NeonLayerSupport.cpp.

References armnn::IgnoreUnused().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsConvertFp32ToFp16Supported()

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

override

Definition at line 798 of file NeonLayerSupport.cpp.

References armnn::IgnoreUnused().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

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

override

Definition at line 808 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, NeonBackendModelContext::IsFastMathEnabled(), and armnn::NeonConvolution2dWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{
    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);
}

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

override

Definition at line 841 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, NeonBackendModelContext::IsFastMathEnabled(), and armnn::NeonConvolution3dWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{
    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);
}

IsDepthToSpaceSupported()

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

override

Definition at line 874 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonDepthToSpaceWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

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

override

Definition at line 886 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonDepthwiseConvolutionWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsDequantizeSupported()

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

override

Definition at line 903 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonDequantizeWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

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

override

Definition at line 913 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonDepthwiseConvolutionWorkloadValidate().

Referenced by NeonLayerSupport::~NeonLayerSupport().

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

IsDivisionSupported()

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

override

Definition at line 1184 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonDivisionWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsElementwiseUnarySupported()

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

override

Definition at line 930 of file NeonLayerSupport.cpp.

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 NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{
    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;
    }
}

IsFillSupported()

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

overridevirtual

Reimplemented from LayerSupportBase.

Definition at line 982 of file NeonLayerSupport.cpp.

References armnn::IgnoreUnused().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{
    armnn::IgnoreUnused(input);
    armnn::IgnoreUnused(output);
    armnn::IgnoreUnused(descriptor);

    return IsNeonBackendSupported(reasonIfUnsupported);
}

IsFloorSupported()

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

override

Definition at line 994 of file NeonLayerSupport.cpp.

References TensorInfo::GetDataType(), armnn::IgnoreUnused(), and armnn::IsSupportedForDataTypeGeneric().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsFullyConnectedSupported()

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

override

Definition at line 1009 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonFullyConnectedWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsGatherNdSupported()

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

Definition at line 1040 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonGatherNdWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsGatherSupported()

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

override

Definition at line 1026 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonGatherWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsInputSupported()

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

override

Definition at line 1052 of file NeonLayerSupport.cpp.

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{
    return IsNeonBackendSupported(reasonIfUnsupported, input);
}

IsInstanceNormalizationSupported()

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

override

Definition at line 1058 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonInstanceNormalizationWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsL2NormalizationSupported()

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

override

Definition at line 1070 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonL2NormalizationWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

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

Reimplemented from LayerSupportBase.

Definition at line 154 of file NeonLayerSupport.cpp.

References armnn::Activation, armnn::Addition, armnn::ArgMinMax, armnn::BatchMatMul, armnn::BatchNormalization, armnn::BatchToSpaceNd, armnn::Cast, armnn::ChannelShuffle, armnn::Comparison, armnn::Concat, armnn::Constant, armnn::ConvertBf16ToFp32, armnn::ConvertFp16ToFp32, armnn::ConvertFp32ToBf16, armnn::ConvertFp32ToFp16, armnn::Convolution2d, armnn::Convolution3d, armnn::DepthToSpace, armnn::DepthwiseConvolution2d, armnn::Dequantize, ILayerSupport::descriptor, armnn::DetectionPostProcess, armnn::Division, armnn::ElementwiseUnary, armnn::Fill, armnn::Floor, armnn::FullyConnected, armnn::Gather, armnn::GatherNd, armnn::Input, armnn::InstanceNormalization, NeonLayerSupport::IsActivationSupported(), NeonLayerSupport::IsAdditionSupported(), NeonLayerSupport::IsArgMinMaxSupported(), NeonLayerSupport::IsBatchMatMulSupported(), NeonLayerSupport::IsBatchNormalizationSupported(), NeonLayerSupport::IsBatchToSpaceNdSupported(), NeonLayerSupport::IsCastSupported(), NeonLayerSupport::IsChannelShuffleSupported(), NeonLayerSupport::IsComparisonSupported(), NeonLayerSupport::IsConcatSupported(), NeonLayerSupport::IsConstantSupported(), NeonLayerSupport::IsConvertBf16ToFp32Supported(), NeonLayerSupport::IsConvertFp16ToFp32Supported(), NeonLayerSupport::IsConvertFp32ToBf16Supported(), NeonLayerSupport::IsConvertFp32ToFp16Supported(), NeonLayerSupport::IsConvolution2dSupported(), NeonLayerSupport::IsConvolution3dSupported(), NeonLayerSupport::IsDepthToSpaceSupported(), NeonLayerSupport::IsDepthwiseConvolutionSupported(), NeonLayerSupport::IsDequantizeSupported(), LayerSupportBase::IsDetectionPostProcessSupported(), NeonLayerSupport::IsDivisionSupported(), NeonLayerSupport::IsElementwiseUnarySupported(), NeonLayerSupport::IsFillSupported(), NeonLayerSupport::IsFloorSupported(), NeonLayerSupport::IsFullyConnectedSupported(), NeonLayerSupport::IsGatherNdSupported(), NeonLayerSupport::IsGatherSupported(), NeonLayerSupport::IsInputSupported(), NeonLayerSupport::IsInstanceNormalizationSupported(), NeonLayerSupport::IsL2NormalizationSupported(), NeonLayerSupport::IsLogicalBinarySupported(), NeonLayerSupport::IsLogSoftmaxSupported(), NeonLayerSupport::IsLstmSupported(), NeonLayerSupport::IsMaximumSupported(), NeonLayerSupport::IsMeanSupported(), LayerSupportBase::IsMemCopySupported(), LayerSupportBase::IsMemImportSupported(), LayerSupportBase::IsMergeSupported(), NeonLayerSupport::IsMinimumSupported(), NeonLayerSupport::IsMultiplicationSupported(), NeonLayerSupport::IsNormalizationSupported(), NeonLayerSupport::IsOutputSupported(), NeonLayerSupport::IsPadSupported(), NeonLayerSupport::IsPermuteSupported(), NeonLayerSupport::IsPooling2dSupported(), NeonLayerSupport::IsPooling3dSupported(), NeonLayerSupport::IsPreluSupported(), NeonLayerSupport::IsQLstmSupported(), NeonLayerSupport::IsQuantizedLstmSupported(), NeonLayerSupport::IsQuantizeSupported(), NeonLayerSupport::IsReduceSupported(), NeonLayerSupport::IsReshapeSupported(), NeonLayerSupport::IsResizeSupported(), LayerSupportBase::IsShapeSupported(), NeonLayerSupport::IsSliceSupported(), NeonLayerSupport::IsSoftmaxSupported(), NeonLayerSupport::IsSpaceToBatchNdSupported(), NeonLayerSupport::IsSpaceToDepthSupported(), NeonLayerSupport::IsSplitterSupported(), NeonLayerSupport::IsStackSupported(), NeonLayerSupport::IsStridedSliceSupported(), NeonLayerSupport::IsSubtractionSupported(), NeonLayerSupport::IsTransposeConvolution2dSupported(), NeonLayerSupport::IsTransposeSupported(), NeonLayerSupport::IsUnidirectionalSequenceLstmSupported(), armnn::L2Normalization, armnn::LogicalBinary, armnn::LogSoftmax, armnn::Lstm, armnn::Map, armnn::Maximum, armnn::Mean, armnn::MemCopy, armnn::MemImport, armnn::Merge, armnn::Minimum, armnn::Multiplication, armnn::Normalization, armnn::Output, armnn::Pad, armnn::Permute, armnn::PolymorphicDowncast(), armnn::Pooling2d, armnn::Pooling3d, armnn::Prelu, armnn::QLstm, armnn::Quantize, armnn::QuantizedLstm, armnn::Rank, ILayerSupport::reasonIfUnsupported, armnn::Reduce, armnn::Reshape, armnn::Resize, armnn::Shape, armnn::Slice, armnn::Softmax, armnn::SpaceToBatchNd, armnn::SpaceToDepth, armnn::Splitter, armnn::Stack, armnn::StridedSlice, armnn::Subtraction, armnn::Transpose, armnn::TransposeConvolution2d, armnn::UnidirectionalSequenceLstm, armnn::Unmap, and OptionalReferenceSwitch< std::is_reference< T >::value, T >::value().

Referenced by NeonLayerSupport::~NeonLayerSupport().

{
    switch (type)
    {
        case LayerType::Activation:
            return IsActivationSupported(infos[0],
                                         infos[1],
                                         *(PolymorphicDowncast<const ActivationDescriptor*>(&descriptor)),
                                         reasonIfUnsupported);
        case LayerType::Addition:
            return IsAdditionSupported(infos[0], infos[1], infos[2], reasonIfUnsupported);
        case LayerType::ArgMinMax:
            return IsArgMinMaxSupported(infos[0],
                                        infos[1],
                                        *(PolymorphicDowncast<const ArgMinMaxDescriptor*>(&descriptor)),
                                        reasonIfUnsupported);
        case LayerType::BatchMatMul:
            return IsBatchMatMulSupported(infos[0],
                                          infos[1],
                                          infos[2],
                                          *(PolymorphicDowncast<const BatchMatMulDescriptor*>(&descriptor)),
                                          reasonIfUnsupported);
        case LayerType::BatchNormalization:
            return IsBatchNormalizationSupported(infos[0],
                                                 infos[1],
                                                 infos[2],
                                                 infos[3],
                                                 infos[4],
                                                 infos[5],
                                                 *(PolymorphicDowncast<const BatchNormalizationDescriptor*>
                                                     (&descriptor)),
                                                 reasonIfUnsupported);
        case LayerType::BatchToSpaceNd:
            return IsBatchToSpaceNdSupported(infos[0],
                                             infos[1],
                                             *(PolymorphicDowncast<const BatchToSpaceNdDescriptor*>(&descriptor)),
                                             reasonIfUnsupported);
        case LayerType::Cast:
            return IsCastSupported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::ChannelShuffle:
            return IsChannelShuffleSupported(infos[0],
                                             infos[1],
                                             *(PolymorphicDowncast<const ChannelShuffleDescriptor*>(&descriptor)),
                                             reasonIfUnsupported);
        case LayerType::Comparison:
            return IsComparisonSupported(infos[0],
                                         infos[1],
                                         infos[2],
                                         *(PolymorphicDowncast<const ComparisonDescriptor*>(&descriptor)),
                                         reasonIfUnsupported);
        case LayerType::Concat:
        {
            std::vector<const TensorInfo*> inputInfos;
            for (uint32_t i = 0; i < (infos.size() - 1); i++)
            {
                inputInfos.push_back(&infos[i]);
            }
            return IsConcatSupported(inputInfos,
                                     infos[infos.size() - 1],
                                     *(PolymorphicDowncast<const OriginsDescriptor*>(&descriptor)),
                                     reasonIfUnsupported);
        }
        case LayerType::Constant:
            return IsConstantSupported(infos[0], reasonIfUnsupported);
        case LayerType::ConvertBf16ToFp32:
            return IsConvertBf16ToFp32Supported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::ConvertFp16ToFp32:
            return IsConvertFp16ToFp32Supported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::ConvertFp32ToBf16:
            return IsConvertFp32ToBf16Supported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::ConvertFp32ToFp16:
            return IsConvertFp32ToFp16Supported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::Convolution2d:
        {
            if (infos.size() != 4)
            {
                throw InvalidArgumentException("Invalid number of TransposeConvolution2d TensorInfos. "
                                               "TensorInfos should be of format: {input, output, weights, biases}.");
            }

            auto desc = *(PolymorphicDowncast<const Convolution2dDescriptor*>(&descriptor));
            if (infos[3] == TensorInfo())
            {
                return IsConvolution2dSupported(infos[0],
                                                infos[1],
                                                desc,
                                                infos[2],
                                                EmptyOptional(),
                                                reasonIfUnsupported);
            }
            else
            {
                return IsConvolution2dSupported(infos[0],
                                                infos[1],
                                                desc,
                                                infos[2],
                                                infos[3],
                                                reasonIfUnsupported);
            }
        }
        case LayerType::Convolution3d:
        {
            if (infos.size() != 4)
            {
                throw InvalidArgumentException("Invalid number of Convolution3d TensorInfos. "
                                               "TensorInfos should be of format: {input, output, weights, biases}.");
            }

            auto desc = *(PolymorphicDowncast<const Convolution3dDescriptor*>(&descriptor));
            if (infos[3] == TensorInfo())
            {
                return IsConvolution3dSupported(infos[0],
                                                infos[1],
                                                desc,
                                                infos[2],
                                                EmptyOptional(),
                                                reasonIfUnsupported);
            }
            else
            {
                return IsConvolution3dSupported(infos[0],
                                                infos[1],
                                                desc,
                                                infos[2],
                                                infos[3],
                                                reasonIfUnsupported);
            }
        }
        case LayerType::DepthToSpace:
            return IsDepthToSpaceSupported(infos[0],
                                           infos[1],
                                           *(PolymorphicDowncast<const DepthToSpaceDescriptor*>(&descriptor)),
                                           reasonIfUnsupported);
        case LayerType::DepthwiseConvolution2d:
        {
            if (infos.size() != 4)
            {
                throw InvalidArgumentException("Invalid number of DepthwiseConvolution2d TensorInfos. "
                                               "TensorInfos should be of format: {input, output, weights, biases}.");
            }

            auto desc = *(PolymorphicDowncast<const DepthwiseConvolution2dDescriptor*>(&descriptor));
            if (infos[3] == TensorInfo())
            {
                return IsDepthwiseConvolutionSupported(infos[0],
                                                       infos[1],
                                                       desc,
                                                       infos[2],
                                                       EmptyOptional(),
                                                       reasonIfUnsupported);
            }
            else
            {
                return IsDepthwiseConvolutionSupported(infos[0],
                                                       infos[1],
                                                       desc,
                                                       infos[2],
                                                       infos[3],
                                                       reasonIfUnsupported);
            }
        }
        case LayerType::Dequantize:
            return IsDequantizeSupported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::DetectionPostProcess:
        {
            auto desc = *(PolymorphicDowncast<const DetectionPostProcessDescriptor*>(&descriptor));
            return LayerSupportBase::IsDetectionPostProcessSupported(infos[0],
                                                                     infos[1],
                                                                     infos[2],
                                                                     infos[3],
                                                                     infos[4],
                                                                     infos[5],
                                                                     infos[6],
                                                                     desc,
                                                                     reasonIfUnsupported);
        }
        case LayerType::Division:
            return IsDivisionSupported(infos[0], infos[1], infos[2], reasonIfUnsupported);
        case LayerType::ElementwiseUnary:
            return IsElementwiseUnarySupported(infos[0],
                                               infos[1],
                                               *(PolymorphicDowncast<const ElementwiseUnaryDescriptor*>(&descriptor)),
                                               reasonIfUnsupported);
        case LayerType::Fill:
            return IsFillSupported(infos[0],
                                   infos[1],
                                   *(PolymorphicDowncast<const FillDescriptor*>(&descriptor)),
                                   reasonIfUnsupported);
        case LayerType::Floor:
            return IsFloorSupported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::FullyConnected:
            return IsFullyConnectedSupported(infos[0],
                                             infos[1],
                                             infos[2],
                                             infos[3],
                                             *(PolymorphicDowncast<const FullyConnectedDescriptor*>(&descriptor)),
                                             reasonIfUnsupported);
        case LayerType::Gather:
            return IsGatherSupported(infos[0],
                                     infos[1],
                                     infos[2],
                                     *(PolymorphicDowncast<const GatherDescriptor*>(&descriptor)),
                                     reasonIfUnsupported);
        case LayerType::GatherNd:
            return IsGatherNdSupported(infos[0],
                                       infos[1],
                                       infos[2],
                                       reasonIfUnsupported);
        case LayerType::Input:
            return IsInputSupported(infos[0], reasonIfUnsupported);
        case LayerType::InstanceNormalization:
            return IsInstanceNormalizationSupported(infos[0],
                                                    infos[1],
                                                    *(PolymorphicDowncast<const InstanceNormalizationDescriptor*>
                                                        (&descriptor)),
                                                    reasonIfUnsupported);
        case LayerType::L2Normalization:
            return IsL2NormalizationSupported(infos[0],
                                              infos[1],
                                              *(PolymorphicDowncast<const L2NormalizationDescriptor*>(&descriptor)),
                                              reasonIfUnsupported);
        case LayerType::LogicalBinary:
            return IsLogicalBinarySupported(infos[0],
                                            infos[1],
                                            infos[2],
                                            *(PolymorphicDowncast<const LogicalBinaryDescriptor*>(&descriptor)),
                                            reasonIfUnsupported);
        case LayerType::LogSoftmax:
            return IsLogSoftmaxSupported(infos[0],
                                         infos[1],
                                         *(PolymorphicDowncast<const LogSoftmaxDescriptor*>(&descriptor)),
                                         reasonIfUnsupported);
        case LayerType::Lstm:
            return IsLstmSupported(infos[0],
                                   infos[1],
                                   infos[2],
                                   infos[3],
                                   infos[4],
                                   infos[5],
                                   infos[6],
                                   *(PolymorphicDowncast<const LstmDescriptor*>(&descriptor)),
                                   lstmParamsInfo.value(),
                                   reasonIfUnsupported);
        case LayerType::Map:
            return true;
        case LayerType::Maximum:
            return IsMaximumSupported(infos[0], infos[1], infos[2], reasonIfUnsupported);
        case LayerType::Mean:
            return IsMeanSupported(infos[0],
                                   infos[1],
                                   *(PolymorphicDowncast<const MeanDescriptor*>(&descriptor)),
                                   reasonIfUnsupported);
        case LayerType::MemCopy:
            return LayerSupportBase::IsMemCopySupported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::MemImport:
            return LayerSupportBase::IsMemImportSupported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::Merge:
            return LayerSupportBase::IsMergeSupported(infos[0],
                                                      infos[1],
                                                      infos[2],
                                                      reasonIfUnsupported);
        case LayerType::Minimum:
            return IsMinimumSupported(infos[0], infos[1], infos[2], reasonIfUnsupported);
        case LayerType::Multiplication:
            return IsMultiplicationSupported(infos[0], infos[1], infos[2], reasonIfUnsupported);
        case LayerType::Normalization:
            return IsNormalizationSupported(infos[0],
                                            infos[1],
                                            *(PolymorphicDowncast<const NormalizationDescriptor*>(&descriptor)),
                                            reasonIfUnsupported);
        case LayerType::Output:
            return IsOutputSupported(infos[0], reasonIfUnsupported);
        case LayerType::Pad:
            return IsPadSupported(infos[0],
                                  infos[1],
                                  *(PolymorphicDowncast<const PadDescriptor*>(&descriptor)),
                                  reasonIfUnsupported);
        case LayerType::Permute:
            return IsPermuteSupported(infos[0],
                                      infos[1],
                                      *(PolymorphicDowncast<const PermuteDescriptor*>(&descriptor)),
                                      reasonIfUnsupported);
        case LayerType::Pooling2d:
            return IsPooling2dSupported(infos[0],
                                        infos[1],
                                        *(PolymorphicDowncast<const Pooling2dDescriptor*>(&descriptor)),
                                        reasonIfUnsupported);
        case LayerType::Pooling3d:
            return IsPooling3dSupported(infos[0],
                                        infos[1],
                                        *(PolymorphicDowncast<const Pooling3dDescriptor*>(&descriptor)),
                                        reasonIfUnsupported);
        case LayerType::Prelu:
            return IsPreluSupported(infos[0], infos[1], infos[2], reasonIfUnsupported);
        case LayerType::QLstm:
            return IsQLstmSupported(infos[0],
                                    infos[1],
                                    infos[2],
                                    infos[3],
                                    infos[4],
                                    infos[5],
                                    *(PolymorphicDowncast<const QLstmDescriptor*>(&descriptor)),
                                    lstmParamsInfo.value(),
                                    reasonIfUnsupported);
        case LayerType::Quantize:
            return IsQuantizeSupported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::QuantizedLstm:
            return IsQuantizedLstmSupported(infos[0],
                                            infos[1],
                                            infos[2],
                                            infos[3],
                                            infos[4],
                                            quantizedLstmParamsInfo.value(),
                                            reasonIfUnsupported);
        case LayerType::Rank:
            return true;
        case LayerType::Reshape:
            return IsReshapeSupported(infos[0],
                                      infos[1],
                                      *(PolymorphicDowncast<const ReshapeDescriptor*>(&descriptor)),
                                      reasonIfUnsupported);
        case LayerType::Resize:
            return IsResizeSupported(infos[0],
                                     infos[1],
                                     *(PolymorphicDowncast<const ResizeDescriptor*>(&descriptor)),
                                     reasonIfUnsupported);
        case LayerType::Reduce:
            return IsReduceSupported(infos[0],
                                     infos[1],
                                     *(PolymorphicDowncast<const ReduceDescriptor*>(&descriptor)),
                                     reasonIfUnsupported);
        case LayerType::Shape:
            return LayerSupportBase::IsShapeSupported(infos[0],
                                                      infos[1],
                                                      reasonIfUnsupported);
        case LayerType::Slice:
            return IsSliceSupported(infos[0],
                                    infos[1],
                                    *(PolymorphicDowncast<const SliceDescriptor*>(&descriptor)),
                                    reasonIfUnsupported);
        case LayerType::Softmax:
            return IsSoftmaxSupported(infos[0],
                                      infos[1],
                                      *(PolymorphicDowncast<const SoftmaxDescriptor*>(&descriptor)),
                                      reasonIfUnsupported);
        case LayerType::SpaceToBatchNd:
            return IsSpaceToBatchNdSupported(infos[0],
                                             infos[1],
                                             *(PolymorphicDowncast<const SpaceToBatchNdDescriptor*>(&descriptor)),
                                             reasonIfUnsupported);
        case LayerType::SpaceToDepth:
            return IsSpaceToDepthSupported(infos[0],
                                           infos[1],
                                           *(PolymorphicDowncast<const SpaceToDepthDescriptor*>(&descriptor)),
                                           reasonIfUnsupported);
        case LayerType::Splitter:
        {
            std::vector<TensorInfo> outputInfos;
            for (uint32_t i = 1; i < infos.size(); i++)
            {
                outputInfos.push_back(infos[i]);
            }
            return IsSplitterSupported(infos[0],
                                       {outputInfos.begin(), outputInfos.end()},
                                       *(PolymorphicDowncast<const ViewsDescriptor*>(&descriptor)),
                                       reasonIfUnsupported);
        }
        case LayerType::Stack:
        {
            std::vector<const TensorInfo*> inputInfos;
            for (uint32_t i = 0; i < infos.size() - 1; i++)
            {
                inputInfos.push_back(&infos[i]);
            }
            return IsStackSupported(inputInfos,
                                    infos[infos.size() - 1],
                                    *(PolymorphicDowncast<const StackDescriptor*>(&descriptor)),
                                    reasonIfUnsupported);
        }
        case LayerType::StridedSlice:
            return IsStridedSliceSupported(infos[0],
                                           infos[1],
                                           *(PolymorphicDowncast<const StridedSliceDescriptor*>(&descriptor)),
                                           reasonIfUnsupported);
        case LayerType::Subtraction:
            return IsSubtractionSupported(infos[0], infos[1], infos[2], reasonIfUnsupported);
        case LayerType::Transpose:
            return IsTransposeSupported(infos[0],
                                        infos[1],
                                        *(PolymorphicDowncast<const TransposeDescriptor*>(&descriptor)),
                                        reasonIfUnsupported);
        case LayerType::TransposeConvolution2d:
        {
            if (infos.size() != 4)
            {
                throw InvalidArgumentException("Invalid number of TransposeConvolution2d TensorInfos. "
                                               "TensorInfos should be of format: {input, output, weights, biases}.");
            }

            auto desc = *(PolymorphicDowncast<const TransposeConvolution2dDescriptor*>(&descriptor));
            if (infos[3] == TensorInfo())
            {
                return IsTransposeConvolution2dSupported(infos[0],
                                                         infos[1],
                                                         desc,
                                                         infos[2],
                                                         EmptyOptional(),
                                                         reasonIfUnsupported);
            }
            else
            {
                return IsTransposeConvolution2dSupported(infos[0],
                                                         infos[1],
                                                         desc,
                                                         infos[2],
                                                         infos[3],
                                                         reasonIfUnsupported);
            }
        }
        case LayerType::UnidirectionalSequenceLstm:
            return IsUnidirectionalSequenceLstmSupported(infos[0],
                                                         infos[1],
                                                         infos[2],
                                                         infos[3],
                                                         infos[4],
                                                         infos[5],
                                                         *(PolymorphicDowncast<const
                                                            UnidirectionalSequenceLstmDescriptor*>(&descriptor)),
                                                         lstmParamsInfo.value(),
                                                         reasonIfUnsupported);
        case LayerType::Unmap:
            return true;
        default:
            // layers not supported in neon by default:
            // debug, fakequantization, precompiled,
            // standin, switch
            return false;
    }
}

IsLogicalBinarySupported()

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

override

Definition at line 1078 of file NeonLayerSupport.cpp.

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

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{
    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;
    }
}

IsLogSoftmaxSupported()

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

override

Definition at line 1103 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonLogSoftmaxWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

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

override

Definition at line 1111 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonLstmFloatWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsMaximumSupported()

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

override

Definition at line 1135 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonMaximumWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsMeanSupported()

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

override

Definition at line 1147 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonMeanWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsMinimumSupported()

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

override

Definition at line 1159 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonMinimumWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsMultiplicationSupported()

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

override

Definition at line 1171 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonMultiplicationWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsNormalizationSupported()

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

override

Definition at line 1197 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonNormalizationWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsOutputSupported()

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

override

Definition at line 1209 of file NeonLayerSupport.cpp.

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{
    return IsNeonBackendSupported(reasonIfUnsupported, output);
}

IsPadSupported()

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

override

Definition at line 1215 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonPadWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsPermuteSupported()

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

override

Definition at line 1227 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonPermuteWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsPooling2dSupported()

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

override

Definition at line 1235 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonPooling2dWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsPooling3dSupported()

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

override

Definition at line 1243 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonPooling3dWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsPreluSupported()

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

override

Definition at line 1251 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonPreluWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

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

override

Definition at line 1259 of file NeonLayerSupport.cpp.

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

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{
    // 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;
    }
}

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

override

Definition at line 1304 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonQuantizedLstmWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsQuantizeSupported()

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

override

Definition at line 1294 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonQuantizeWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsReduceSupported()

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

override

Definition at line 1322 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonReduceWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsReshapeSupported()

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

override

Definition at line 1334 of file NeonLayerSupport.cpp.

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

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsResizeSupported()

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

override

Definition at line 1346 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonResizeWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsSliceSupported()

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

override

Definition at line 1358 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonSliceWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsSoftmaxSupported()

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

override

Definition at line 1370 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonSoftmaxWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsSpaceToBatchNdSupported()

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

override

Definition at line 1378 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonSpaceToBatchNdWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsSpaceToDepthSupported()

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

override

Definition at line 1390 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonSpaceToDepthWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsSplitterSupported()

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

override

Definition at line 1402 of file NeonLayerSupport.cpp.

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

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{
#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;
}

IsStackSupported()

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

override

Definition at line 1435 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonStackWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsStridedSliceSupported()

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

override

Definition at line 1447 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonStridedSliceWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsSubtractionSupported()

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

override

Definition at line 1459 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonSubtractionWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

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

override

Definition at line 1472 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonTransposeConvolution2dWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

IsTransposeSupported()

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

override

Definition at line 1488 of file NeonLayerSupport.cpp.

References FORWARD_WORKLOAD_VALIDATE_FUNC, and armnn::NeonTransposeWorkloadValidate().

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

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

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

override

Definition at line 1496 of file NeonLayerSupport.cpp.

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

Referenced by NeonLayerSupport::IsLayerSupported(), and NeonLayerSupport::~NeonLayerSupport().

{
    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);
    }
}

---

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

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