RefLayerSupport Class Reference

#include <RefLayerSupport.hpp>

Inheritance diagram for RefLayerSupport:

Public Member Functions
bool	IsLayerSupported (const LayerType &type, const std::vector< TensorInfo > &infos, const BaseDescriptor &descriptor, const Optional< LstmInputParamsInfo > &lstmParamsInfo, const Optional< QuantizedLstmInputParamsInfo > &, 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	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	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	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) const override
bool	IsLogSoftmaxSupported (const TensorInfo &input, const TensorInfo &output, const LogSoftmaxDescriptor &descriptor, Optional< std::string &> reasonIfUnsupported) 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	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	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	IsRankSupported (const TensorInfo &input, const TensorInfo &output, 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	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	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	IsPreluSupported (const TensorInfo &input, const TensorInfo &alpha, 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 &output, const Optional< TensorInfo > &hiddenStateOutput, const Optional< TensorInfo > &cellStateOutput, const UnidirectionalSequenceLstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo, Optional< std::string &> reasonIfUnsupported=EmptyOptional()) 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 &output, const Optional< TensorInfo > &hiddenStateOutput, const Optional< TensorInfo > &cellStateOutput, 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.", "22.11") virtual bool IsActivationSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsAdditionSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsArgMinMaxSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsBatchNormalizationSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsBatchToSpaceNdSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsCastSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsChannelShuffleSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsComparisonSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsConvertBf16ToFp32Supported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsConvertFp32ToBf16Supported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsConvertFp16ToFp32Supported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsConvertFp32ToFp16Supported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsConvolution2dSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsConvolution3dSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsDebugSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsDepthToSpaceSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsDepthwiseConvolutionSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsDequantizeSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsDetectionPostProcessSupported(const TensorInfo &boxEncodings
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsDilatedDepthwiseConvolutionSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsDivisionSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsElementwiseUnarySupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsFakeQuantizationSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsFillSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsFloorSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsFullyConnectedSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsGatherSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsInputSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsInstanceNormalizationSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsL2NormalizationSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsLogicalBinarySupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsLogicalUnarySupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsLogSoftmaxSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsLstmSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsMaximumSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsMeanSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsMemCopySupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsMemImportSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsMergeSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsMinimumSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsMultiplicationSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsNormalizationSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsOutputSupported(const TensorInfo &output
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsPadSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsPermuteSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsPooling2dSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsPooling3dSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsPreCompiledSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsPreluSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsQuantizeSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsQLstmSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsQuantizedLstmSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsRankSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsReduceSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsReshapeSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsResizeSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsShapeSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsSliceSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsSoftmaxSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsSpaceToBatchNdSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsSpaceToDepthSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsSplitterSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsSubtractionSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsSwitchSupported(const TensorInfo &input0
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsTransposeConvolution2dSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") virtual bool IsTransposeSupported(const TensorInfo &input
	ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") 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.", "22.11") 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 =0
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.", "22.11") virtual bool IsStackSupported(const std ARMNN_DEPRECATED_MSG_REMOVAL_DATE("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") 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.", "22.11") virtual bool IsStackSupported(const std ARMNN_DEPRECATED_MSG_REMOVAL_DATE("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") 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.", "22.11") virtual bool IsStackSupported(const std ARMNN_DEPRECATED_MSG_REMOVAL_DATE("This method is deprecated. " "Use ABI Stable IsLayerSupported accepting LayerType argument instead.", "22.11") 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 &	output
const TensorInfo const TensorInfo const TensorInfo const Optional< TensorInfo > &	hiddenStateOutput
const TensorInfo const TensorInfo const TensorInfo const Optional< TensorInfo > const Optional< TensorInfo > &	cellStateOutput
const TensorInfo const TensorInfo const TensorInfo const Optional< TensorInfo > const Optional< TensorInfo > const LstmDescriptor &	descriptor
const TensorInfo const TensorInfo const TensorInfo const Optional< TensorInfo > const Optional< TensorInfo > const LstmDescriptor const LstmInputParamsInfo &	paramsInfo
const TensorInfo const TensorInfo const TensorInfo const Optional< TensorInfo > const Optional< 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 12 of file RefLayerSupport.hpp.

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 543 of file RefLayerSupport.cpp.

References armnn::Abs, armnn::BFloat16, armnn::BoundedReLu, armnn::CheckSupportRule(), armnn::Elu, armnn::Float16, armnn::Float32, armnn::HardSwish, armnn::LeakyReLu, armnn::Linear, ActivationDescriptor::m_Function, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::ReLu, armnn::Sigmoid, armnn::SoftReLu, armnn::Sqrt, armnn::Square, and armnn::TanH.

Referenced by RefLayerSupport::IsLayerSupported().

{
   bool supported = true;

    // Define supported types.
    std::array<DataType,6> supportedTypes = {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference activation: input type not supported.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference activation: output type not supported.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference activation: input and output types mismatched.");

    supported &= CheckSupportRule(ShapesAreSameRank(input, output), reasonIfUnsupported,
                                  "Reference activation: input and output shapes are of different rank.");


    struct ActivationFunctionSupported : public Rule
    {
        ActivationFunctionSupported(const ActivationDescriptor& desc)
        {
            switch(desc.m_Function)
            {
                case ActivationFunction::Abs:
                case ActivationFunction::BoundedReLu:
                case ActivationFunction::Elu:
                case ActivationFunction::HardSwish:
                case ActivationFunction::LeakyReLu:
                case ActivationFunction::Linear:
                case ActivationFunction::ReLu:
                case ActivationFunction::Sigmoid:
                case ActivationFunction::SoftReLu:
                case ActivationFunction::Sqrt:
                case ActivationFunction::Square:
                case ActivationFunction::TanH:
                {
                    m_Res = true;
                    break;
                }
                default:
                {
                    m_Res = false;
                    break;
                }
            }
        }
    };

    // Function is supported
    supported &= CheckSupportRule(ActivationFunctionSupported(descriptor), reasonIfUnsupported,
                                  "Reference activation: function not supported.");

    return supported;
}

IsAdditionSupported()

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

override

Definition at line 611 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported(), and TEST_SUITE().

{
    bool supported = true;

    std::array<DataType,7> supportedTypes = {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
                                  "Reference addition: input 0 is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
                                  "Reference addition: input 1 is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference addition: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
                                  "Reference addition: input 0 and Input 1 types are mismatched");

    supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
                                  "Reference addition: input and output types are mismatched");

    supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
                                  "Reference addition: shapes are not suitable for implicit broadcast.");

    return supported;
}

IsArgMinMaxSupported()

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

override

Definition at line 649 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::Signed32, and armnn::Signed64.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);

    std::array<DataType, 8> supportedInputTypes =
    {
        DataType::BFloat16,
        DataType::Float16,
        DataType::Float32,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Signed32,
        DataType::Signed64
    };

    std::array<DataType,2> supportedOutputTypes = {
        DataType::Signed32,
        DataType::Signed64
    };

    bool supported = true;

    supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
                                  "Reference ArgMinMax: input is not a supported type.");
    supported &= CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
                                  "Reference ArgMinMax: output type not supported");

    return supported;
}

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 682 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);

    std::array<DataType, 6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    bool supported = true;

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference batch normalization: input is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference batch normalization: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference batch normalization: input and output types are mismatched");

    supported &= CheckSupportRule(TypeAnyOf(mean, supportedTypes), reasonIfUnsupported,
                                  "Reference batch normalization: mean is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(variance, supportedTypes), reasonIfUnsupported,
                                  "Reference batch normalization: variance is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(beta, supportedTypes), reasonIfUnsupported,
                                  "Reference batch normalization: beta is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(gamma, supportedTypes), reasonIfUnsupported,
                                  "Reference batch normalization: gamma is not a supported type.");

    return supported;
}

IsBatchToSpaceNdSupported()

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

override

Definition at line 729 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, TensorInfo::GetNumDimensions(), armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);

    bool supported = true;

    std::string batchToSpaceNdLayerStr = "batchToSpaceNd";
    std::string inputTensorStr = "input";
    std::string outputTensorStr = "output";

    // Define supported types.
    std::array<DataType,6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference BatchToSpaceNd: input type not supported.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference BatchToSpaceNd: output type not supported.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference BatchToSpaceNd: input and output types mismatched.");

    supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 4),
                                  reasonIfUnsupported,
                                  CreateIncorrectDimensionsErrorMsg(4,
                                                                    output.GetNumDimensions(),
                                                                    batchToSpaceNdLayerStr,
                                                                    outputTensorStr).data());

    supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(input, 4),
                                  reasonIfUnsupported,
                                  CreateIncorrectDimensionsErrorMsg(4,
                                                                    input.GetNumDimensions(),
                                                                    batchToSpaceNdLayerStr,
                                                                    inputTensorStr).data());

    return supported;
}

IsCastSupported()

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

override

Definition at line 779 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    std::array<DataType, 9> supportedInputTypes =
            {
                    DataType::BFloat16,
                    DataType::Float32,
                    DataType::Float16,
                    DataType::QSymmS8,
                    DataType::QAsymmS8,
                    DataType::QAsymmU8,
                    DataType::QSymmS16,
                    DataType::Signed32
            };

    bool supported = true;
    supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
                                  "Reference cast: input is not a supported type");


    supported &= CheckSupportRule(TypeAnyOf(output, supportedInputTypes), reasonIfUnsupported,
                                  "Reference cast: output is not a supported type");

    supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
                                  "Reference cast: input and output shapes have different number of total elements");

    return supported;
}

IsChannelShuffleSupported()

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

override

Definition at line 809 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::QSymmS8.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;

    // Define supported output and inputs types.
    std::array<DataType, 7> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference ChannelShuffle: input is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference ChannelShuffle: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference ChannelShuffle: input and output types are mismatched.");

    return supported;
}

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 842 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::Boolean, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    std::array<DataType, 8> supportedInputTypes =
    {
        DataType::Boolean,
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    bool supported = true;
    supported &= CheckSupportRule(TypeAnyOf(input0, supportedInputTypes), reasonIfUnsupported,
                                  "Reference comparison: input 0 is not a supported type");

    supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
                                  "Reference comparison: input 0 and Input 1 types are mismatched");

    supported &= CheckSupportRule(TypeIs(output, DataType::Boolean), reasonIfUnsupported,
                                  "Reference comparison: output is not of type Boolean");

    return supported;
}

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 874 of file RefLayerSupport.cpp.

References ARMNN_ASSERT, armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);

    bool supported = true;
    std::array<DataType,6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference concatenation: output type not supported");
    for (const TensorInfo* input : inputs)
    {
        ARMNN_ASSERT(input != nullptr);
        supported &= CheckSupportRule(TypeAnyOf(*input, supportedTypes), reasonIfUnsupported,
            "Reference concatenation: input type not supported");

        supported &= CheckSupportRule(TypesAreEqual(*input, output), reasonIfUnsupported,
            "Reference concatenation: input and output types mismatched.");
    }

    return supported;
}

IsConstantSupported()

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

override

Definition at line 907 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    std::array<DataType,8> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float16,
        DataType::Float32,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    return CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference constant: output is not a supported type.");
}

IsConvertBf16ToFp32Supported()

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

override

Definition at line 926 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), and armnn::Float32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;

    supported &= CheckSupportRule(TypeIs(input, DataType::BFloat16), reasonIfUnsupported,
                                  "Reference for ConvertBf16ToFp32 layer: input type not supported");

    supported &= CheckSupportRule(TypeIs(output, DataType::Float32), reasonIfUnsupported,
                                  "Reference for ConvertBf16ToFp32 layer: output type not supported");

    return supported;
}

IsConvertFp16ToFp32Supported()

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

override

Definition at line 941 of file RefLayerSupport.cpp.

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

Referenced by RefLayerSupport::IsLayerSupported().

{
    return (IsSupportedForDataTypeGeneric(reasonIfUnsupported,
                                          input.GetDataType(),
                                          &TrueFunc<>,
                                          &FalseInputFuncF32<>,
                                          &FalseFuncU8<>,
                                          &FalseFuncI32<>,
                                          &FalseFuncU8<>) &&
            IsSupportedForDataTypeGeneric(reasonIfUnsupported,
                                          output.GetDataType(),
                                          &FalseOutputFuncF16<>,
                                          &TrueFunc<>,
                                          &FalseFuncU8<>,
                                          &FalseFuncI32<>,
                                          &FalseFuncU8<>));
}

IsConvertFp32ToBf16Supported()

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

override

Definition at line 961 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), and armnn::Float32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;

    supported &= CheckSupportRule(TypeIs(input, DataType::Float32), reasonIfUnsupported,
                                  "Reference for ConvertFp32ToBf16 layer: input type not supported");

    supported &= CheckSupportRule(TypeIs(output, DataType::BFloat16), reasonIfUnsupported,
                                  "Reference for ConvertFp32ToBf16 layer: output type not supported");

    return supported;
}

IsConvertFp32ToFp16Supported()

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

override

Definition at line 976 of file RefLayerSupport.cpp.

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

Referenced by RefLayerSupport::IsLayerSupported().

{
    return (IsSupportedForDataTypeGeneric(reasonIfUnsupported,
                                          input.GetDataType(),
                                          &FalseInputFuncF16<>,
                                          &TrueFunc<>,
                                          &FalseFuncU8<>,
                                          &FalseFuncI32<>,
                                          &FalseFuncU8<>) &&
            IsSupportedForDataTypeGeneric(reasonIfUnsupported,
                                          output.GetDataType(),
                                          &TrueFunc<>,
                                          &FalseOutputFuncF32<>,
                                          &FalseFuncU8<>,
                                          &FalseFuncI32<>,
                                          &FalseFuncU8<>));
}

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 996 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, TensorInfo::GetDataType(), OptionalBase::has_value(), armnn::IgnoreUnused(), armnn::IsQuantized8BitType(), armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, armnn::Signed32, and OptionalReferenceSwitch< std::is_reference< T >::value, T >::value().

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;

    // Define supported types.
    std::array<DataType,7> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference Convolution2d: input is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference Convolution2d: output is not a supported type.");

    // For Convolution2d, we allow to have BFloat16 input with Float32 output for optimization.
    if (input.GetDataType() == DataType::BFloat16)
    {
        if (output.GetDataType() != DataType::BFloat16 && output.GetDataType() != DataType::Float32)
        {
            reasonIfUnsupported.value() += "Output tensor type must be BFloat16 or Float32 for BFloat16 input.\n";
            supported = false;
        }
    }
    else
    {
        supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference Convolution2d: input and output types mismatched.");
    }

    const DataType inputType = input.GetDataType();
    if (IsQuantized8BitType(inputType))
    {
        std::array<DataType, 3> supportedWeightTypes =
        {
            DataType::QAsymmS8,
            DataType::QAsymmU8,
            DataType::QSymmS8
        };

        supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
                                      "Reference Convolution2d: weights type not supported for quantized input.");
    }
    else
    {
        supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
                                      "Reference Convolution2d: weights is not a supported type.");

        supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
                                      "Reference Convolution2d: input and weights types mismatched.");
    }

    if (biases.has_value())
    {
        std::array<DataType,4> biasesSupportedTypes =
        {
            DataType::BFloat16,
            DataType::Float32,
            DataType::Float16,
            DataType::Signed32
        };

        supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
                                      "Reference Convolution2d: biases is not a supported type.");
    }
    IgnoreUnused(descriptor);

    return supported;
}

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 1078 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, TensorInfo::GetDataType(), OptionalBase::has_value(), armnn::IgnoreUnused(), armnn::IsQuantized8BitType(), armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, armnn::Signed32, and OptionalReferenceSwitch< std::is_reference< T >::value, T >::value().

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;

    // Define supported types.
    std::array<DataType,7> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference Convolution3d: input is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference Convolution3d: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference Convolution3d: input and output types mismatched.");

    const DataType inputType = input.GetDataType();
    if (IsQuantized8BitType(inputType))
    {
        std::array<DataType, 3> supportedWeightTypes =
        {
            DataType::QAsymmS8,
            DataType::QAsymmU8,
            DataType::QSymmS8
        };

        supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
                                      "Reference Convolution3d: weights type not supported for quantized input.");
    }
    else
    {
        supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
                                      "Reference Convolution3d: weights is not a supported type.");

        supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
                                      "Reference Convolution3d: input and weights types mismatched.");
    }

    if (biases.has_value())
    {
        std::array<DataType,4> biasesSupportedTypes =
        {
            DataType::BFloat16,
            DataType::Float32,
            DataType::Float16,
            DataType::Signed32
        };

        supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
                                      "Reference Convolution3d: biases is not a supported type.");
    }
    IgnoreUnused(descriptor);

    return supported;
}

IsDebugSupported()

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

override

Definition at line 1148 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;

    std::array<DataType, 8> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float16,
        DataType::Float32,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference for Debug layer: input type not supported");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference for Debug layer: output type not supported");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference for Debug layer: input and output types are mismatched");

    return supported;
}

IsDepthToSpaceSupported()

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

override

Definition at line 1178 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;

    std::array<DataType,6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
        "Reference DepthToSpace: input type not supported");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
        "Reference DepthToSpace: output type not supported");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
        "Reference DepthToSpace: input and output types are mismatched");

    return supported;
}

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 1208 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, TensorInfo::GetDataType(), OptionalBase::has_value(), armnn::IgnoreUnused(), armnn::IsQuantized8BitType(), armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, armnn::Signed32, and OptionalReferenceSwitch< std::is_reference< T >::value, T >::value().

Referenced by RefLayerSupport::IsDilatedDepthwiseConvolutionSupported(), and RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;

    // Define supported types.
    std::array<DataType,7> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference DepthwiseConvolution2d: input is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference DepthwiseConvolution2d: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference DepthwiseConvolution2d: input and output types mismatched.");

    const DataType inputType = input.GetDataType();
    if (IsQuantized8BitType(inputType))
    {
        std::array<DataType, 3> supportedWeightTypes =
                {
                        DataType::QAsymmS8,
                        DataType::QAsymmU8,
                        DataType::QSymmS8,
                };

        supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
                                       "Reference DepthwiseConvolution2d: weights type not supported for "
                                       "quantized input.");
    }
    else
    {
        supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
                                      "Reference DepthwiseConvolution2d: weights is not a supported type.");

        supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
                                      "Reference DepthwiseConvolution2d: input and weights types mismatched.");
    }

    if (biases.has_value())
    {
        std::array<DataType,4> biasesSupportedTypes =
        {
            DataType::BFloat16,
            DataType::Float32,
            DataType::Float16,
            DataType::Signed32
        };
        supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
                                      "Reference DepthwiseConvolution2d: biases is not a supported type.");
    }

    return supported;

}

IsDequantizeSupported()

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

override

Definition at line 1279 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::QSymmS8.

Referenced by RefLayerSupport::IsLayerSupported().

{
   bool supported = true;

    std::array<DataType,4> supportedInputTypes = {
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
                                  "Reference for Dequantize layer: input type not supported.");

    supported &= CheckSupportRule(TypeNotPerAxisQuantized(input), reasonIfUnsupported,
                                  "Reference for Dequantize layer: per-axis quantized input not supported.");

    std::array<DataType,3> supportedOutputTypes = {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16
    };

    supported &= CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
                                  "Reference for Dequantize layer: output type not supported.");

    supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
                                  "Reference for Dequantize layer: input/output shapes have different num total "
                                  "elements.");

    return supported;
}

IsDetectionPostProcessSupported()

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

Definition at line 1314 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(anchors, detectionBoxes, detectionClasses, detectionScores, numDetections, descriptor);

    bool supported = true;

    std::array<DataType,6> supportedInputTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(boxEncodings, supportedInputTypes), reasonIfUnsupported,
                                  "Reference DetectionPostProcess: input 0 is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(scores, supportedInputTypes), reasonIfUnsupported,
                                  "Reference DetectionPostProcess: input 1 is not a supported type.");

    return supported;
}

IsDilatedDepthwiseConvolutionSupported()

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

Definition at line 1347 of file RefLayerSupport.cpp.

References RefLayerSupport::IsDepthwiseConvolutionSupported().

{
    return IsDepthwiseConvolutionSupported(input, output, descriptor, weights, biases, reasonIfUnsupported);
}

IsDivisionSupported()

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

override

Definition at line 1357 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;

    std::array<DataType,7> supportedTypes = {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
                                  "Reference division: input 0 is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
                                  "Reference division: input 1 is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference division: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
                                  "Reference division: input 0 and Input 1 types are mismatched");

    supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
                                  "Reference division: input and output types are mismatched");

    supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
                                  "Reference division: shapes are not suitable for implicit broadcast.");

    return supported;
}

IsElementwiseUnarySupported()

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

override

Definition at line 1395 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::Boolean, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::LogicalNot, ElementwiseUnaryDescriptor::m_Operation, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);

    std::array<DataType, 7> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    std::array<DataType, 1> logicalSupportedTypes =
    {
        DataType::Boolean
    };

    bool supported = true;

    if (descriptor.m_Operation == UnaryOperation::LogicalNot)
    {
        supported &= CheckSupportRule(TypeAnyOf(input, logicalSupportedTypes), reasonIfUnsupported,
                                      "Reference elementwise unary: input type not supported");

        supported &= CheckSupportRule(TypeAnyOf(output, logicalSupportedTypes), reasonIfUnsupported,
                                      "Reference elementwise unary: output type not supported");
    }
    else
    {
        supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                      "Reference elementwise unary: input type not supported");

        supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                      "Reference elementwise unary: output type not supported");
    }

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference elementwise unary: input and output types not matching");

    supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
                                  "Reference elementwise unary: input and output shapes"
                                  "have different number of total elements");

    return supported;
}

IsFakeQuantizationSupported()

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

override

Definition at line 1447 of file RefLayerSupport.cpp.

References armnn::CheckSupportRule(), armnn::Float32, and armnn::IgnoreUnused().

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;

    std::array<DataType,1> supportedTypes =
    {
        DataType::Float32
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference fake quantization: input type not supported.");

    return supported;
}

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 1465 of file RefLayerSupport.cpp.

References armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    IgnoreUnused(output);

    bool supported = true;

    std::array<DataType,3> supportedTypes =
    {
        DataType::Float32,
        DataType::Float16,
        DataType::Signed32
    };

    supported &= CheckSupportRule(TypeIs(input, DataType::Signed32), reasonIfUnsupported,
                                  "Reference Fill: input type not supported.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference Fill: output type not supported.");
    return supported;
}

IsFloorSupported()

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

override

Definition at line 1490 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, and armnn::IgnoreUnused().

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(output);
    bool supported = true;

    std::array<DataType,3> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference Floor: input type not supported.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference Floor: output type not supported.");

    return supported;
}

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 1513 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, TensorInfo::GetDataType(), FullyConnectedDescriptor::m_BiasEnabled, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::Signed32, and OptionalReferenceSwitch< std::is_reference< T >::value, T >::value().

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;

    // Define supported types.
    std::array<DataType,6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference Fully Connected: input type not supported.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference Fully Connected: output type not supported.");

    supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
                                  "Reference Fully Connected: weights type not supported.");

    // For FullyConnected, we allow to have BFloat16 input with Float32 output for optimization.
    if (input.GetDataType() == DataType::BFloat16)
    {
        if (output.GetDataType() != DataType::BFloat16 && output.GetDataType() != DataType::Float32)
        {
            reasonIfUnsupported.value() += "Output tensor type must be BFloat16 or Float32 for BFloat16 input.\n";
            supported = false;
        }
    }
    else
    {
        supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference Fully Connected: input and output types mismatched.");
    }

    supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
                                  "Reference Fully Connected: weights is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
                                  "Reference Fully Connected: input and weights types mismatched.");

    if (descriptor.m_BiasEnabled)
    {
        // Defined supported types for bias
        std::array<DataType, 5>
        supportedBiasTypes =
        {
            DataType::BFloat16,
            DataType::Float32,
            DataType::Float16,
            DataType::Signed32,
            DataType::QAsymmS8
        };

        supported &= CheckSupportRule(TypeAnyOf(biases, supportedBiasTypes), reasonIfUnsupported,
                                      "Reference Fully Connected: bias type not supported.");

        supported &= CheckSupportRule(BiasAndWeightsTypesMatch(biases, weights), reasonIfUnsupported,
                                      "Reference Fully Connected: bias and weight types mismatch.");

        supported &= CheckSupportRule(BiasAndWeightsTypesCompatible(weights, supportedBiasTypes), reasonIfUnsupported,
                                      "Reference Fully Connected: bias type inferred from weights is incompatible.");

        supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(biases, 1U), reasonIfUnsupported,
                                      "Reference Fully Connected: bias must have 1 dimension.");

    }

    return supported;
}

IsGatherSupported()

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

override

Definition at line 1593 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, GatherDescriptor::m_Axis, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::Signed32, and OptionalReferenceSwitch< std::is_reference< T >::value, T >::value().

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;
    std::array<DataType,7> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    if (descriptor.m_Axis != 0)
    {
        reasonIfUnsupported.value() += std::string("Reference Gather: axis not supported\n");
        supported &= false;
    }
    supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
                                  "Reference Gather: input type not supported");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference Gather: output type not supported");

    supported &= CheckSupportRule(TypeIs(input1, DataType::Signed32), reasonIfUnsupported,
                                  "Reference Gather: indices (input1) type not supported");

    supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
                                  "Reference Gather: input and output types not matching");

    return supported;
}

IsInputSupported()

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

override

Definition at line 1631 of file RefLayerSupport.cpp.

Referenced by RefLayerSupport::IsLayerSupported().

{
    return true;
}

IsInstanceNormalizationSupported()

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

override

Definition at line 1637 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, and armnn::IgnoreUnused().

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    // Define supported types
    std::array<DataType, 3> supportedTypes =
        {
            DataType::BFloat16,
            DataType::Float32,
            DataType::Float16
        };

    bool supported = true;

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference Instance Normalization: input type not supported.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference Instance Normalization: output type not supported.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference Instance Normalization: input and output types mismatched.");

    supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
                                  "Reference Instance Normalization: input and output shapes have different "
                                  "num total elements.");

    return supported;
}

IsL2NormalizationSupported()

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

override

Definition at line 1669 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    // Define supported types
    std::array<DataType, 6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    bool supported = true;

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference L2normalization: input type not supported.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference L2normalization: output type not supported.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference L2normalization: input and output types mismatched.");

    supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
                                  "Reference L2normalization: input and output shapes have different "
                                  "num total elements.");

    return supported;
}

IsLayerSupported()

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

overridevirtual

Reimplemented from LayerSupportBase.

Definition at line 61 of file RefLayerSupport.cpp.

References armnn::Activation, armnn::Addition, armnn::ArgMinMax, 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::Debug, armnn::DepthToSpace, armnn::DepthwiseConvolution2d, armnn::Dequantize, ILayerSupport::descriptor, armnn::DetectionPostProcess, armnn::Division, armnn::ElementwiseUnary, armnn::FakeQuantization, armnn::Fill, armnn::Floor, armnn::FullyConnected, armnn::Gather, armnn::Input, armnn::InstanceNormalization, RefLayerSupport::IsActivationSupported(), RefLayerSupport::IsAdditionSupported(), RefLayerSupport::IsArgMinMaxSupported(), RefLayerSupport::IsBatchNormalizationSupported(), RefLayerSupport::IsBatchToSpaceNdSupported(), RefLayerSupport::IsCastSupported(), RefLayerSupport::IsChannelShuffleSupported(), RefLayerSupport::IsComparisonSupported(), RefLayerSupport::IsConcatSupported(), RefLayerSupport::IsConstantSupported(), RefLayerSupport::IsConvertBf16ToFp32Supported(), RefLayerSupport::IsConvertFp16ToFp32Supported(), RefLayerSupport::IsConvertFp32ToBf16Supported(), RefLayerSupport::IsConvertFp32ToFp16Supported(), RefLayerSupport::IsConvolution2dSupported(), RefLayerSupport::IsConvolution3dSupported(), RefLayerSupport::IsDebugSupported(), RefLayerSupport::IsDepthToSpaceSupported(), RefLayerSupport::IsDepthwiseConvolutionSupported(), RefLayerSupport::IsDequantizeSupported(), RefLayerSupport::IsDetectionPostProcessSupported(), RefLayerSupport::IsDivisionSupported(), RefLayerSupport::IsElementwiseUnarySupported(), RefLayerSupport::IsFakeQuantizationSupported(), RefLayerSupport::IsFillSupported(), RefLayerSupport::IsFloorSupported(), RefLayerSupport::IsFullyConnectedSupported(), RefLayerSupport::IsGatherSupported(), RefLayerSupport::IsInputSupported(), RefLayerSupport::IsInstanceNormalizationSupported(), RefLayerSupport::IsL2NormalizationSupported(), RefLayerSupport::IsLogicalBinarySupported(), RefLayerSupport::IsLogSoftmaxSupported(), RefLayerSupport::IsLstmSupported(), RefLayerSupport::IsMaximumSupported(), RefLayerSupport::IsMeanSupported(), RefLayerSupport::IsMemCopySupported(), LayerSupportBase::IsMemImportSupported(), LayerSupportBase::IsMergeSupported(), RefLayerSupport::IsMinimumSupported(), RefLayerSupport::IsMultiplicationSupported(), RefLayerSupport::IsNormalizationSupported(), RefLayerSupport::IsOutputSupported(), RefLayerSupport::IsPadSupported(), RefLayerSupport::IsPermuteSupported(), RefLayerSupport::IsPooling2dSupported(), RefLayerSupport::IsPooling3dSupported(), RefLayerSupport::IsPreluSupported(), RefLayerSupport::IsQLstmSupported(), LayerSupportBase::IsQuantizedLstmSupported(), RefLayerSupport::IsQuantizeSupported(), RefLayerSupport::IsRankSupported(), RefLayerSupport::IsReduceSupported(), RefLayerSupport::IsReshapeSupported(), RefLayerSupport::IsResizeSupported(), RefLayerSupport::IsShapeSupported(), RefLayerSupport::IsSliceSupported(), RefLayerSupport::IsSoftmaxSupported(), RefLayerSupport::IsSpaceToBatchNdSupported(), RefLayerSupport::IsSpaceToDepthSupported(), RefLayerSupport::IsSplitterSupported(), RefLayerSupport::IsStackSupported(), RefLayerSupport::IsStridedSliceSupported(), RefLayerSupport::IsSubtractionSupported(), RefLayerSupport::IsTransposeConvolution2dSupported(), RefLayerSupport::IsTransposeSupported(), RefLayerSupport::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::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().

{
    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::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::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 Convolution2d 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::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::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::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::QLstm:
            return IsQLstmSupported(infos[0],
                                    infos[1],
                                    infos[2],
                                    infos[3],
                                    infos[4],
                                    infos[5],
                                    *(PolymorphicDowncast<const QLstmDescriptor*>(&descriptor)),
                                    lstmParamsInfo.value(),
                                    reasonIfUnsupported);
        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::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::Prelu:
            return IsPreluSupported(infos[0], infos[1], infos[2], reasonIfUnsupported);
        case LayerType::Quantize:
            return IsQuantizeSupported(infos[0], infos[1], reasonIfUnsupported);
        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::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::Cast:
            return IsCastSupported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::ChannelShuffle:
            return IsChannelShuffleSupported(infos[0],
                                             infos[1],
                                             *(PolymorphicDowncast<const ChannelShuffleDescriptor*>(&descriptor)),
                                             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::Debug:
            return IsDebugSupported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::DetectionPostProcess:
            return IsDetectionPostProcessSupported(infos[0],
                                                   infos[1],
                                                   infos[2],
                                                   infos[3],
                                                   infos[4],
                                                   infos[5],
                                                   infos[6],
                                                   *(PolymorphicDowncast<const DetectionPostProcessDescriptor*>
                                                       (&descriptor)),
                                                   reasonIfUnsupported);
        case LayerType::FakeQuantization:
            return IsFakeQuantizationSupported(infos[0],
                                               *(PolymorphicDowncast<const FakeQuantizationDescriptor*>(&descriptor)),
                                               reasonIfUnsupported);
        case LayerType::MemCopy:
            return IsMemCopySupported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::Rank:
            return IsRankSupported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::Shape:
            return IsShapeSupported(infos[0], infos[1], reasonIfUnsupported);
        case LayerType::UnidirectionalSequenceLstm:
        {
            if (infos.size() != 6)
            {
                throw InvalidArgumentException("Invalid number of UnidirectionalSequenceLstm TensorInfos. TensorInfos "
                                               "should be of format: {input, outputStateIn, cellStateIn, "
                                               "hiddenStateOutputVal, cellStateOutputVal, output}");
            }
            auto desc = *(PolymorphicDowncast<const UnidirectionalSequenceLstmDescriptor*>(&descriptor));

            bool isHiddenStateOutputOptional = (infos[4] == TensorInfo());
            bool isCellStateOutput = (infos[5] == TensorInfo());
            if (isHiddenStateOutputOptional && isCellStateOutput)
            {
                return IsUnidirectionalSequenceLstmSupported(infos[0],
                                                             infos[1],
                                                             infos[2],
                                                             infos[3],
                                                             EmptyOptional(),
                                                             EmptyOptional(),
                                                             desc,
                                                             lstmParamsInfo.value(),
                                                             reasonIfUnsupported);
            }
            else if (isHiddenStateOutputOptional)
            {
                return IsUnidirectionalSequenceLstmSupported(infos[0],
                                                             infos[1],
                                                             infos[2],
                                                             infos[3],
                                                             EmptyOptional(),
                                                             infos[5],
                                                             desc,
                                                             lstmParamsInfo.value(),
                                                             reasonIfUnsupported);
            }
            else if (isCellStateOutput)
            {
                return IsUnidirectionalSequenceLstmSupported(infos[0],
                                                             infos[1],
                                                             infos[2],
                                                             infos[3],
                                                             infos[4],
                                                             EmptyOptional(),
                                                             desc,
                                                             lstmParamsInfo.value(),
                                                             reasonIfUnsupported);
            }
            else
            {
                return IsUnidirectionalSequenceLstmSupported(infos[0],
                                                             infos[1],
                                                             infos[2],
                                                             infos[3],
                                                             infos[4],
                                                             infos[5],
                                                             desc,
                                                             lstmParamsInfo.value(),
                                                             reasonIfUnsupported);
            }
        }
        case LayerType::Pooling3d:
            return IsPooling3dSupported(infos[0],
                                        infos[1],
                                        *(PolymorphicDowncast<const Pooling3dDescriptor*>(&descriptor)),
                                        reasonIfUnsupported);
        case LayerType::Map:
            return true;
        case LayerType::Unmap:
            return true;
        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::QuantizedLstm:
            return LayerSupportBase::IsQuantizedLstmSupported(infos[0],
                                                              infos[1],
                                                              infos[2],
                                                              infos[3],
                                                              infos[4],
                                                              quantizedLstmInputParamsInfo.value(),
                                                              reasonIfUnsupported);
        default:
            // layers not supported in neon by default:
            // 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 1704 of file RefLayerSupport.cpp.

References armnn::Boolean, armnn::CheckSupportRule(), and armnn::IgnoreUnused().

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);

    std::array<DataType, 1> supportedTypes =
    {
        DataType::Boolean
    };

    bool supported = true;
    supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
                                  "Reference LogicalBinary: input 0 type not supported");
    supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
                                  "Reference LogicalBinary: input 1 type not supported");

    supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
                                  "Reference LogicalBinary: input and output types do not match");

    return supported;
}

IsLogSoftmaxSupported()

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

override

Definition at line 1729 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, and armnn::IgnoreUnused().

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);

    std::array<DataType, 3> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16
    };

    bool supported = true;
    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference LogSoftmax: input type not supported");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference LogSoftmax: output type not supported");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference LogSoftmax: input and output types do not match");

    return supported;
}

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 1756 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float32, LstmInputParamsInfo::GetCellBias(), LstmInputParamsInfo::GetCellLayerNormWeights(), LstmInputParamsInfo::GetCellToForgetWeights(), LstmInputParamsInfo::GetCellToInputWeights(), LstmInputParamsInfo::GetCellToOutputWeights(), LstmInputParamsInfo::GetForgetGateBias(), LstmInputParamsInfo::GetForgetLayerNormWeights(), LstmInputParamsInfo::GetInputGateBias(), LstmInputParamsInfo::GetInputLayerNormWeights(), LstmInputParamsInfo::GetInputToCellWeights(), LstmInputParamsInfo::GetInputToForgetWeights(), LstmInputParamsInfo::GetInputToInputWeights(), LstmInputParamsInfo::GetInputToOutputWeights(), LstmInputParamsInfo::GetOutputGateBias(), LstmInputParamsInfo::GetOutputLayerNormWeights(), LstmInputParamsInfo::GetProjectionBias(), LstmInputParamsInfo::GetProjectionWeights(), LstmInputParamsInfo::GetRecurrentToCellWeights(), LstmInputParamsInfo::GetRecurrentToForgetWeights(), LstmInputParamsInfo::GetRecurrentToInputWeights(), LstmInputParamsInfo::GetRecurrentToOutputWeights(), armnn::IgnoreUnused(), LstmDescriptor::m_CifgEnabled, LstmDescriptor::m_LayerNormEnabled, LstmDescriptor::m_PeepholeEnabled, LstmInputParamsInfo::m_ProjectionBias, LstmDescriptor::m_ProjectionEnabled, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    IgnoreUnused(paramsInfo);

    bool supported = true;

    std::array<DataType,3> supportedTypes = {
        DataType::BFloat16,
        DataType::Float32,
        DataType::QSymmS16
    };

    // check inputs and outputs
    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference Lstm: input is not a supported type.");
    supported &= CheckSupportRule(TypesAreEqual(input, outputStateIn), reasonIfUnsupported,
                                  "Reference Lstm: input and outputStateIn types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, cellStateIn), reasonIfUnsupported,
                                  "Reference Lstm: input and cellStateIn types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, scratchBuffer), reasonIfUnsupported,
                                  "Reference Lstm: input and scratchBuffer types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, outputStateOut), reasonIfUnsupported,
                                  "Reference Lstm: input and outputStateOut types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, cellStateOut), reasonIfUnsupported,
                                  "Reference Lstm: input and cellStateOut types are mismatched");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference Lstm: input and output types are mismatched");
    // check layer parameters
    supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToForgetWeights()), reasonIfUnsupported,
                                  "Reference Lstm: input and InputToForgetWeights types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToCellWeights()), reasonIfUnsupported,
                                  "Reference Lstm: input and InputToCellWeights types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToOutputWeights()), reasonIfUnsupported,
                                  "Reference Lstm: input and InputToOutputWeights types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToForgetWeights()), reasonIfUnsupported,
                                  "Reference Lstm: input and RecurrentToForgetWeights types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToCellWeights()), reasonIfUnsupported,
                                  "Reference Lstm: input and RecurrentToCellWeights types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToOutputWeights()), reasonIfUnsupported,
                                  "Reference Lstm: input and RecurrentToOutputWeights types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetForgetGateBias()), reasonIfUnsupported,
                                  "Reference Lstm: input and ForgetGateBias types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellBias()), reasonIfUnsupported,
                                  "Reference Lstm: input and CellBias types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetOutputGateBias()), reasonIfUnsupported,
                                  "Reference Lstm: input and OutputGateBias types are mismatched");
    if (!descriptor.m_CifgEnabled)
    {
        supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputToInputWeights()), reasonIfUnsupported,
                                      "Reference Lstm: input and InputToInputWeights types are mismatched");
        supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetRecurrentToInputWeights()),
                                      reasonIfUnsupported,
                                      "Reference Lstm: input and RecurrentToInputWeights types are mismatched");
        supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputGateBias()), reasonIfUnsupported,
                                      "Reference Lstm: input and InputGateBias types are mismatched");
        if (descriptor.m_PeepholeEnabled)
        {
            supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToInputWeights()),
                                          reasonIfUnsupported,
                                          "Reference Lstm: input and CellToInputWeights types are mismatched");
        }
    }
    if (descriptor.m_PeepholeEnabled)
    {
        supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToForgetWeights()), reasonIfUnsupported,
                                      "Reference Lstm: input and CellToForgetWeights types are mismatched");
        supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellToOutputWeights()), reasonIfUnsupported,
                                      "Reference Lstm: input and CellToOutputWeights types are mismatched");
    }
    if (descriptor.m_ProjectionEnabled)
    {
        supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetProjectionWeights()), reasonIfUnsupported,
                                      "Reference Lstm: input and mProjectionWeights types are mismatched");
        if (paramsInfo.m_ProjectionBias != nullptr)
        {
            supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetProjectionBias()), reasonIfUnsupported,
                                          "Reference Lstm: input and ProjectionBias types are mismatched");
        }
    }
    if (descriptor.m_LayerNormEnabled)
    {
        if (!descriptor.m_CifgEnabled)
        {
            supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputLayerNormWeights()),
                                          reasonIfUnsupported,
                                          "Reference Lstm: input and InputLayerNormWeights types are mismatched");
        }
        supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetForgetLayerNormWeights()),
                                      reasonIfUnsupported,
                                      "Reference Lstm: input and ForgetLayerNormWeights types are mismatched");
        supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellLayerNormWeights()),
                                      reasonIfUnsupported,
                                      "Reference Lstm: input and CellLayerNormWeights types are mismatched");
        supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetOutputLayerNormWeights()),
                                      reasonIfUnsupported,
                                      "Reference Lstm: input and OutputLayerNormWeights types are mismatched");
    }

    return supported;
}

IsMaximumSupported()

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

override

Definition at line 1868 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;

    std::array<DataType,7> supportedTypes = {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
                                  "Reference maximum: input 0 is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
                                  "Reference maximum: input 1 is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference maximum: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
                                  "Reference maximum: input 0 and Input 1 types are mismatched");

    supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
                                  "Reference maximum: input and output types are mismatched");

    supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
                                  "Reference maximum: shapes are not suitable for implicit broadcast.");

    return supported;
}

IsMeanSupported()

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

override

Definition at line 1906 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, TensorInfo::GetNumDimensions(), MeanDescriptor::m_Axis, MeanDescriptor::m_KeepDims, armnn::numeric_cast(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;
    std::string meanLayerStr = "Mean";
    std::string outputTensorStr = "output";

    std::array<DataType,6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference Mean: input type not supported.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference Mean: input and output types are mismatched");

    if (descriptor.m_KeepDims)
    {
        supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, input.GetNumDimensions()),
                                      reasonIfUnsupported,
                                      CreateIncorrectDimensionsErrorMsg(input.GetNumDimensions(),
                                                                        output.GetNumDimensions(),
                                                                        meanLayerStr, outputTensorStr).data());
    }
    else if (descriptor.m_Axis.empty())
    {
        supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 1),
                                      reasonIfUnsupported,
                                      CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),
                                                                        meanLayerStr, outputTensorStr).data());
    }
    else
    {
        auto outputDim = input.GetNumDimensions() - armnn::numeric_cast<unsigned int>(descriptor.m_Axis.size());

        if (outputDim > 0)
        {
            supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, outputDim),
                                          reasonIfUnsupported,
                                          CreateIncorrectDimensionsErrorMsg(outputDim, output.GetNumDimensions(),
                                                                            meanLayerStr, outputTensorStr).data());
        }
        else
        {
            supported &= CheckSupportRule(TensorNumDimensionsAreCorrect(output, 1),
                                          reasonIfUnsupported,
                                          CreateIncorrectDimensionsErrorMsg(1, output.GetNumDimensions(),
                                                                            meanLayerStr, outputTensorStr).data());
        }
    }

    return supported;
}

IsMemCopySupported()

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

override

Definition at line 1969 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::Boolean, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;

    std::array<DataType,7> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Boolean
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference MemCopy: input type not supported");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference MemCopy: output type not supported");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference MemCopy: input and output types are mismatched");

    return supported;
}

IsMinimumSupported()

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

override

Definition at line 1998 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;

    std::array<DataType,7> supportedTypes = {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
                                  "Reference minimum: input 0 is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
                                  "Reference minimum: input 1 is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference minimum: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
                                  "Reference minimum: input 0 and Input 1 types are mismatched");

    supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
                                  "Reference minimum: input and output types are mismatched");

    supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
                                  "Reference minimum: shapes are not suitable for implicit broadcast.");

    return supported;
}

IsMultiplicationSupported()

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

override

Definition at line 2036 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;

    std::array<DataType,7> supportedTypes = {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
                                  "Reference multiplication: input 0 is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
                                  "Reference multiplication: input 1 is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference multiplication: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
                                  "Reference multiplication: input 0 and Input 1 types are mismatched");

    supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
                                  "Reference multiplication: input and output types are mismatched");

    supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
                                  "Reference multiplication: shapes are not suitable for implicit broadcast.");

    return supported;
}

IsNormalizationSupported()

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

override

Definition at line 2074 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);

    // Define supported types
    std::array<DataType, 6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float16,
        DataType::Float32,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    bool supported = true;

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference normalization: input type not supported.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference normalization: output type not supported.");

    supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
                                  "Reference normalization: input and output shapes have different "
                                  "num total elements.");

    return supported;
}

IsOutputSupported()

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

override

Definition at line 2107 of file RefLayerSupport.cpp.

Referenced by RefLayerSupport::IsLayerSupported().

{
    return true;
}

IsPadSupported()

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

override

Definition at line 2113 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;

    // Define supported output and inputs types.
    std::array<DataType,6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference pad: input is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference pad: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference pad: input and output types are mismatched.");

    return supported;
}

IsPermuteSupported()

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

override

Definition at line 2144 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;

    // Define supported output and inputs types.
    std::array<DataType, 6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference permute: input is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference permute: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference permute: input and output types are mismatched.");

    return supported;
}

IsPooling2dSupported()

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

override

Definition at line 2175 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;

    // Define supported output and inputs types.
    std::array<DataType,6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference poolind2d: input is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference poolind2d: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference poolind2d: input and output types are mismatched.");

    return supported;
}

IsPooling3dSupported()

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

override

Definition at line 2206 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;

    // Define supported output and inputs types.
    std::array<DataType,6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference poolind3d: input is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference poolind3d: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference poolind3d: input and output types are mismatched.");

    return supported;
}

IsPreluSupported()

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

override

Definition at line 2665 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;

    std::array<DataType, 6> supportedTypes
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "PReLU: input is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(alpha, supportedTypes), reasonIfUnsupported,
                                  "PReLU: alpha is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "PReLU: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input, alpha, output), reasonIfUnsupported,
                                  "PReLU: input, alpha and output types are mismatched");

    supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input, alpha, output), reasonIfUnsupported,
                                  "PReLU: shapes are not suitable for implicit broadcast");

    return supported;
}

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 2238 of file RefLayerSupport.cpp.

References armnn::IgnoreUnused().

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(input);
    IgnoreUnused(previousOutputIn);
    IgnoreUnused(previousCellStateIn);
    IgnoreUnused(outputStateOut);
    IgnoreUnused(cellStateOut);
    IgnoreUnused(output);
    IgnoreUnused(descriptor);
    IgnoreUnused(paramsInfo);

    IgnoreUnused(reasonIfUnsupported);

    return true;
}

IsQuantizeSupported()

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

override

Definition at line 2262 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::QSymmS8.

Referenced by RefLayerSupport::IsLayerSupported().

{
   bool supported = true;

    // Define supported input types.
    std::array<DataType,7> supportedInputTypes = {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedInputTypes), reasonIfUnsupported,
                                  "Reference quantize: input type not supported.");

    // Define supported output types.
    std::array<DataType,4> supportedOutputTypes = {
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS8,
        DataType::QSymmS16
    };
    supported &= CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
                                  "Reference quantize: output type not supported.");

    supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
                                  "Reference quantize: input and output shapes have different num total elements.");

    return supported;
}

IsRankSupported()

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

override

Definition at line 2298 of file RefLayerSupport.cpp.

References armnn::CheckSupportRule(), armnn::IgnoreUnused(), and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(input);
    // Define supported output types.
    std::array<DataType,1> supportedOutputTypes =
    {
        DataType::Signed32,
    };

    return CheckSupportRule(TypeAnyOf(output, supportedOutputTypes), reasonIfUnsupported,
           "Reference rank: input type not supported.");
}

IsReduceSupported()

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

override

Definition at line 2313 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;
    std::array<DataType,7> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference Reduce: input type not supported");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference Reduce: output type not supported");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference Reduce: input and output types not matching");

    return supported;
}

IsReshapeSupported()

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

override

Definition at line 2343 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::Boolean, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(output);
    IgnoreUnused(descriptor);
    // Define supported output types.
    std::array<DataType,8> supportedOutputTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::Signed32,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Boolean
    };

    return CheckSupportRule(TypeAnyOf(input, supportedOutputTypes), reasonIfUnsupported,
        "Reference reshape: input type not supported.");
}

IsResizeSupported()

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

override

Definition at line 2367 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;
    std::array<DataType,6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference Resize: input type not supported");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference Resize: output type not supported");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference Resize: input and output types not matching");

    return supported;
}

IsShapeSupported()

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

override

Definition at line 2396 of file RefLayerSupport.cpp.

References armnn::CheckSupportRule(), armnn::IgnoreUnused(), and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(input);
    bool supported = true;

    std::array<DataType, 1> supportedTypes =
    {
        DataType::Signed32
    };

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference Shape: output type not supported");

    return supported;
}

IsSliceSupported()

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

override

Definition at line 2414 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;

    std::array<DataType, 5> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference Slice: input type not supported");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference Slice: output type not supported");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference Slice: input and output types are mismatched");

    return supported;
}

IsSoftmaxSupported()

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

override

Definition at line 2443 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::QSymmS8.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;
    std::array<DataType,7> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QSymmS8,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference Softmax: output type not supported");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference Softmax: input type not supported");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference Softmax: input type not supported");

    return supported;
}

IsSpaceToBatchNdSupported()

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

override

Definition at line 2473 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;
    std::array<DataType,6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference SpaceToBatchNd: input type not supported");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference SpaceToBatchNd: output type not supported");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference SpaceToBatchNd: input and output types are mismatched");

    return supported;
}

IsSpaceToDepthSupported()

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

override

Definition at line 2502 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{

    IgnoreUnused(descriptor);
    bool supported = true;

    std::array<DataType,6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
        "Reference SpaceToDepth: input type not supported");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
        "Reference SpaceToDepth: output type not supported");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
        "Reference SpaceToDepth: input and output types are mismatched");

    return supported;
}

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 2533 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), ILayerSupport::output, ILayerSupport::outputs, armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;
    std::array<DataType,6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference splitter: output type not supported");
    for (const TensorInfo& output : outputs)
    {
        supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                      "Reference splitter: input type not supported");

        supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                      "Reference splitter: input and output types mismatched.");
    }

    return supported;
}

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 2564 of file RefLayerSupport.cpp.

References ARMNN_ASSERT, armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);

    bool supported = true;
    std::array<DataType,7> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference stack: output type not supported");
    for (const TensorInfo* input : inputs)
    {
        ARMNN_ASSERT(input != nullptr);
        supported &= CheckSupportRule(TypeAnyOf(*input, supportedTypes), reasonIfUnsupported,
            "Reference stack: input type not supported");

        supported &= CheckSupportRule(TypesAreEqual(*input, output), reasonIfUnsupported,
            "Reference stack: input and output types mismatched.");
    }

    return supported;
}

IsStridedSliceSupported()

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

override

Definition at line 2598 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;

    std::array<DataType,5> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference StridedSlice: input type not supported");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference StridedSlice: output type not supported");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference StridedSlice: input and output types are mismatched");

    return supported;
}

IsSubtractionSupported()

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

override

Definition at line 2627 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, and armnn::Signed32.

Referenced by RefLayerSupport::IsLayerSupported().

{
    bool supported = true;

    std::array<DataType,7> supportedTypes = {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16,
        DataType::Signed32
    };

    supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
                                  "Reference subtraction: input 0 is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(input1, supportedTypes), reasonIfUnsupported,
                                  "Reference subtraction: input 1 is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference subtraction: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input0, input1), reasonIfUnsupported,
                                  "Reference subtraction: input 0 and Input 1 types are mismatched");

    supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
                                  "Reference subtraction: input and output types are mismatched");

    supported &= CheckSupportRule(ShapesAreBroadcastCompatible(input0, input1, output), reasonIfUnsupported,
                                  "Reference subtraction: shapes are not suitable for implicit broadcast.");

    return supported;
}

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 2700 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, TensorInfo::GetDataType(), OptionalBase::has_value(), armnn::IgnoreUnused(), armnn::IsQuantized8BitType(), armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, armnn::Signed32, and OptionalReferenceSwitch< std::is_reference< T >::value, T >::value().

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;

    std::array<DataType,7> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference TransposeConvolution2d: input is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference TransposeConvolution2d: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference TransposeConvolution2d: input and output types mismatched.");


    const DataType inputType = input.GetDataType();
    if (IsQuantized8BitType(inputType))
    {
        std::array<DataType, 3> supportedWeightTypes =
        {
            DataType::QAsymmS8,
            DataType::QAsymmU8,
            DataType::QSymmS8
        };

        supported &= CheckSupportRule(TypeAnyOf(weights, supportedWeightTypes), reasonIfUnsupported,
                                      "Reference TransposeConvolution2d: weights type not supported for "
                                      "quantized input.");
    }
    else
    {
        supported &= CheckSupportRule(TypeAnyOf(weights, supportedTypes), reasonIfUnsupported,
                                    "Reference TransposeConvolution2d: weights is not a supported type.");

        supported &= CheckSupportRule(TypesAreEqual(input, weights), reasonIfUnsupported,
                                    "Reference TransposeConvolution2d: input and weights types mismatched.");
    }

    if (biases.has_value())
    {
        std::array<DataType,4> biasesSupportedTypes =
        {
            DataType::BFloat16,
            DataType::Float32,
            DataType::Float16,
            DataType::Signed32
        };
        supported &= CheckSupportRule(TypeAnyOf(biases.value(), biasesSupportedTypes), reasonIfUnsupported,
                                      "Reference TransposeConvolution2d: biases is not a supported type.");
    }

    return supported;
}

IsTransposeSupported()

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

override

Definition at line 2770 of file RefLayerSupport.cpp.

References armnn::BFloat16, armnn::CheckSupportRule(), armnn::Float16, armnn::Float32, armnn::IgnoreUnused(), armnn::QAsymmS8, armnn::QAsymmU8, and armnn::QSymmS16.

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    bool supported = true;

    // Define supported output and inputs types.
    std::array<DataType, 6> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float32,
        DataType::Float16,
        DataType::QAsymmS8,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference transpose: input is not a supported type.");

    supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                  "Reference transpose: output is not a supported type.");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference transpose: input and output types are mismatched.");

    return supported;
}

IsUnidirectionalSequenceLstmSupported()

bool IsUnidirectionalSequenceLstmSupported ( const TensorInfo &  input, const TensorInfo &  outputStateIn, const TensorInfo &  cellStateIn, const TensorInfo &  output, const Optional< TensorInfo > &  hiddenStateOutput, const Optional< TensorInfo > &  cellStateOutput, const UnidirectionalSequenceLstmDescriptor &  descriptor, const LstmInputParamsInfo &  paramsInfo, Optional< std::string &>  reasonIfUnsupported = EmptyOptional()  ) const

override

Definition at line 2801 of file RefLayerSupport.cpp.

References armnn::CheckSupportRule(), armnn::Float32, LstmInputParamsInfo::GetCellBias(), LstmInputParamsInfo::GetCellLayerNormWeights(), LstmInputParamsInfo::GetCellToForgetWeights(), LstmInputParamsInfo::GetCellToInputWeights(), LstmInputParamsInfo::GetCellToOutputWeights(), LstmInputParamsInfo::GetForgetGateBias(), LstmInputParamsInfo::GetForgetLayerNormWeights(), LstmInputParamsInfo::GetInputGateBias(), LstmInputParamsInfo::GetInputLayerNormWeights(), LstmInputParamsInfo::GetInputToCellWeights(), LstmInputParamsInfo::GetInputToForgetWeights(), LstmInputParamsInfo::GetInputToInputWeights(), LstmInputParamsInfo::GetInputToOutputWeights(), LstmInputParamsInfo::GetOutputGateBias(), LstmInputParamsInfo::GetOutputLayerNormWeights(), LstmInputParamsInfo::GetProjectionBias(), LstmInputParamsInfo::GetProjectionWeights(), LstmInputParamsInfo::GetRecurrentToCellWeights(), LstmInputParamsInfo::GetRecurrentToForgetWeights(), LstmInputParamsInfo::GetRecurrentToInputWeights(), LstmInputParamsInfo::GetRecurrentToOutputWeights(), OptionalBase::has_value(), armnn::IgnoreUnused(), LstmDescriptor::m_CifgEnabled, LstmDescriptor::m_LayerNormEnabled, LstmDescriptor::m_PeepholeEnabled, LstmInputParamsInfo::m_ProjectionBias, LstmDescriptor::m_ProjectionEnabled, armnn::QAsymmS8, and OptionalReferenceSwitch< std::is_reference< T >::value, T >::value().

Referenced by RefLayerSupport::IsLayerSupported().

{
    IgnoreUnused(descriptor);
    IgnoreUnused(paramsInfo);
    IgnoreUnused(outputStateIn);
    IgnoreUnused(cellStateIn);
    bool supported = true;

    if (hiddenStateOutput.has_value() || cellStateOutput.has_value())
    {
        reasonIfUnsupported.value() += "Reference UnidirectionalSequenceLstm: hidden state output "
                                       "and cell state output are not supported at the moment.";
    }

    std::array<DataType, 1> supportedTypes =
    {
        DataType::Float32
    };

    std::array<DataType, 2> supportedWeightTypes =
    {
        DataType::Float32,
        DataType::QAsymmS8
    };

    // check inputs and outputs
    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
                                  "Reference UnidirectionalSequenceLstm: input is not a supported type.");
    supported &= CheckSupportRule(TypesAreEqual(input, outputStateIn), reasonIfUnsupported,
                                  "Reference UnidirectionalSequenceLstm: input and outputStateIn types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, cellStateIn), reasonIfUnsupported,
                                  "Reference UnidirectionalSequenceLstm: input and cellStateIn types are mismatched");

    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
                                  "Reference UnidirectionalSequenceLstm: input and output types are mismatched");
    // check layer parameters
    supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetInputToForgetWeights(), supportedWeightTypes),
                                  reasonIfUnsupported,
                                  "Reference UnidirectionalSequenceLstm: InputToForgetWeights "
                                  "is not a supported type.");
    supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetInputToCellWeights(), supportedWeightTypes),
                                  reasonIfUnsupported,
                                  "Reference UnidirectionalSequenceLstm: InputToCellWeights is not a supported type.");
    supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetInputToOutputWeights(), supportedWeightTypes),
                                  reasonIfUnsupported,
                                  "Reference UnidirectionalSequenceLstm: InputToOutputWeights "
                                  "is not a supported type.");
    supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetRecurrentToForgetWeights(), supportedWeightTypes),
                                  reasonIfUnsupported,
                                  "Reference UnidirectionalSequenceLstm: RecurrentToForgetWeights "
                                  "is not a supported type.");
    supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetRecurrentToCellWeights(), supportedWeightTypes),
                                  reasonIfUnsupported,
                                  "Reference UnidirectionalSequenceLstm: RecurrentToCellWeights "
                                  "is not a supported type.");
    supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetRecurrentToOutputWeights(), supportedWeightTypes),
                                  reasonIfUnsupported,
                                  "Reference UnidirectionalSequenceLstm: RecurrentToOutputWeights "
                                  "is not a supported type.");
    supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetForgetGateBias()), reasonIfUnsupported,
                                  "Reference UnidirectionalSequenceLstm: input and ForgetGateBias types "
                                  "are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetCellBias()), reasonIfUnsupported,
                                  "Reference UnidirectionalSequenceLstm: input and CellBias types are mismatched");
    supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetOutputGateBias()), reasonIfUnsupported,
                                  "Reference UnidirectionalSequenceLstm: input and OutputGateBias types "
                                  "are mismatched");
    if (!descriptor.m_CifgEnabled)
    {
        supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetInputToInputWeights(), supportedWeightTypes),
                                      reasonIfUnsupported,
                                      "Reference UnidirectionalSequenceLstm: InputToInputWeights "
                                      "is not a supported type.");
        supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetRecurrentToInputWeights(), supportedWeightTypes),
                                      reasonIfUnsupported,
                                      "Reference UnidirectionalSequenceLstm: RecurrentToInputWeights "
                                      "is not a supported type.");
        supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetInputGateBias()), reasonIfUnsupported,
                                      "Reference UnidirectionalSequenceLstm: input and InputGateBias types "
                                      "are mismatched");
        if (descriptor.m_PeepholeEnabled)
        {
            supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetCellToInputWeights(), supportedWeightTypes),
                                          reasonIfUnsupported,
                                          "Reference UnidirectionalSequenceLstm: CellToInputWeights "
                                          "is not a supported type.");
        }
    }
    if (descriptor.m_PeepholeEnabled)
    {
        supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetCellToForgetWeights(), supportedWeightTypes),
                                      reasonIfUnsupported,
                                      "Reference UnidirectionalSequenceLstm: CellToForgetWeights "
                                      "is not a supported type.");
        supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetCellToOutputWeights(), supportedWeightTypes),
                                      reasonIfUnsupported,
                                      "Reference UnidirectionalSequenceLstm: CellToOutputWeights "
                                      "is not a supported type.");
    }
    if (descriptor.m_ProjectionEnabled)
    {
        supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetProjectionWeights(), supportedWeightTypes),
                                      reasonIfUnsupported,
                                      "Reference UnidirectionalSequenceLstm: ProjectionWeights "
                                      "is not a supported type.");
        if (paramsInfo.m_ProjectionBias != nullptr)
        {
            supported &= CheckSupportRule(TypesAreEqual(input, paramsInfo.GetProjectionBias()), reasonIfUnsupported,
                                          "Reference UnidirectionalSequenceLstm: input and ProjectionBias types "
                                          "are mismatched");
        }
    }
    if (descriptor.m_LayerNormEnabled)
    {
        if (!descriptor.m_CifgEnabled)
        {
            supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetInputLayerNormWeights(), supportedWeightTypes),
                                          reasonIfUnsupported,
                                          "Reference UnidirectionalSequenceLstm: InputLayerNormWeights "
                                          "is not a supported type.");
        }
        supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetForgetLayerNormWeights(), supportedWeightTypes),
                                      reasonIfUnsupported,
                                      "Reference UnidirectionalSequenceLstm: ForgetLayerNormWeights "
                                      "is not a supported type.");
        supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetCellLayerNormWeights(), supportedWeightTypes),
                                      reasonIfUnsupported,
                                      "Reference UnidirectionalSequenceLstm: CellLayerNormWeights "
                                      "is not a supported type.");
        supported &= CheckSupportRule(TypeAnyOf(paramsInfo.GetOutputLayerNormWeights(), supportedWeightTypes),
                                      reasonIfUnsupported,
                                      "Reference UnidirectionalSequenceLstm: OutputLayerNormWeights "
                                      "is not a supported type.");
    }

    return supported;
}

---

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

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