armnn/latest/_neon_layer_support_8hpp_source.html

//

// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.

// SPDX-License-Identifier: MIT

//

#pragma once


#include <armnn/backends/IBackendInternal.hpp>


#include <backendsCommon/LayerSupportBase.hpp>


namespace armnn

{


class NeonLayerSupport : public LayerSupportBase

{

public:

    explicit NeonLayerSupport(const IBackendInternal::IBackendSpecificModelContextPtr& modelContextPtr);

    NeonLayerSupport();


    ~NeonLayerSupport() {}


    bool IsLayerSupported(const LayerType& type,

                          const std::vector<TensorInfo>& infos,

                          const BaseDescriptor& descriptor,

                          const Optional<LstmInputParamsInfo>& lstmParamsInfo,

                          const Optional<QuantizedLstmInputParamsInfo>& quantizedLstmParamsInfo,

                          Optional<std::string&> reasonIfUnsupported) const override;


    bool IsActivationSupported(const TensorInfo& input,

                               const TensorInfo& output,

                               const ActivationDescriptor& descriptor,

                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsAdditionSupported(const TensorInfo& input0,

                             const TensorInfo& input1,

                             const TensorInfo& output,

                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsArgMinMaxSupported(const TensorInfo& input,

                              const TensorInfo& output,

                              const ArgMinMaxDescriptor& descriptor,

                              Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsBatchMatMulSupported(const TensorInfo& inputX,

                                const TensorInfo& inputY,

                                const TensorInfo& output,

                                const BatchMatMulDescriptor& descriptor,

                                Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsBatchNormalizationSupported(const TensorInfo& input,

                                       const TensorInfo& output,

                                       const TensorInfo& mean,

                                       const TensorInfo& var,

                                       const TensorInfo& beta,

                                       const TensorInfo& gamma,

                                       const BatchNormalizationDescriptor& descriptor,

                                       Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsBatchToSpaceNdSupported(const TensorInfo& input,

                                   const TensorInfo& output,

                                   const BatchToSpaceNdDescriptor& descriptor,

                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsCastSupported(const TensorInfo& input,

                         const TensorInfo& output,

                         Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsChannelShuffleSupported(const TensorInfo& input,

                                   const TensorInfo& output,

                                   const ChannelShuffleDescriptor& descriptor,

                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsComparisonSupported(const TensorInfo& input0,

                               const TensorInfo& input1,

                               const TensorInfo& output,

                               const ComparisonDescriptor& descriptor,

                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsConcatSupported(const std::vector<const TensorInfo*> inputs,

                           const TensorInfo& output,

                           const OriginsDescriptor& descriptor,

                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsConstantSupported(const TensorInfo& output,

                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsConvertFp16ToFp32Supported(const TensorInfo& input,

                                      const TensorInfo& output,

                                      Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsConvertFp32ToFp16Supported(const TensorInfo& input,

                                      const TensorInfo& output,

                                      Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsConvolution2dSupported(const TensorInfo& input,

                                  const TensorInfo& output,

                                  const Convolution2dDescriptor& descriptor,

                                  const TensorInfo& weights,

                                  const Optional<TensorInfo>& biases,

                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsConvolution3dSupported(const TensorInfo& input,

                                  const TensorInfo& output,

                                  const Convolution3dDescriptor& descriptor,

                                  const TensorInfo& weights,

                                  const Optional<TensorInfo>& biases,

                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsDepthToSpaceSupported(const TensorInfo& input,

                                 const TensorInfo& output,

                                 const DepthToSpaceDescriptor& descriptor,

                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsDepthwiseConvolutionSupported(const TensorInfo& input,

                                         const TensorInfo& output,

                                         const DepthwiseConvolution2dDescriptor& descriptor,

                                         const TensorInfo& weights,

                                         const Optional<TensorInfo>& biases,

                                         Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsDequantizeSupported(const TensorInfo& input,

                               const TensorInfo& output,

                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsDilatedDepthwiseConvolutionSupported(const TensorInfo& input,

                                                const TensorInfo& output,

                                                const DepthwiseConvolution2dDescriptor& descriptor,

                                                const TensorInfo& weights,

                                                const Optional<TensorInfo>& biases,

                                                Optional<std::string&> reason = EmptyOptional()) const;


    bool IsElementwiseUnarySupported(const TensorInfo& input,

                               const TensorInfo& output,

                               const ElementwiseUnaryDescriptor& descriptor,

                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsFillSupported(const TensorInfo& input,

                         const TensorInfo& output,

                         const FillDescriptor& descriptor,

                         Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsFloorSupported(const TensorInfo& input,

                          const TensorInfo& output,

                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsFullyConnectedSupported(const TensorInfo& input,

                                   const TensorInfo& output,

                                   const TensorInfo& weights,

                                   const TensorInfo& biases,

                                   const FullyConnectedDescriptor& descriptor,

                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsFusedSupported(const std::vector<std::reference_wrapper<TensorInfo>>& inputs,

                          const std::vector<std::reference_wrapper<TensorInfo>>& outputs,

                          const FusedDescriptor& descriptor,

                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsGatherNdSupported(const TensorInfo& input0,

                             const TensorInfo& input1,

                             const TensorInfo& output,

                             Optional<std::string&> reasonIfUnsupported) const;


    bool IsGatherSupported(const TensorInfo& input0,

                           const TensorInfo& input1,

                           const TensorInfo& output,

                           const GatherDescriptor& descriptor,

                           Optional<std::string&> reasonIfUnsupported) const;


    bool IsInputSupported(const TensorInfo& input,

                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsInstanceNormalizationSupported(const TensorInfo& input,

                                          const TensorInfo& output,

                                          const InstanceNormalizationDescriptor& descriptor,

                                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsL2NormalizationSupported(const TensorInfo& input,

                                    const TensorInfo& output,

                                    const L2NormalizationDescriptor& descriptor,

                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsLogicalBinarySupported(const TensorInfo& input0,

                                  const TensorInfo& input1,

                                  const TensorInfo& output,

                                  const LogicalBinaryDescriptor& descriptor,

                                  Optional<std::string&> reasonIfUnsupported) const;


    bool IsLogSoftmaxSupported(const TensorInfo& input,

                               const TensorInfo& output,

                               const LogSoftmaxDescriptor& descriptor,

                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsLstmSupported(const TensorInfo& input,

                         const TensorInfo& outputStateIn,

                         const TensorInfo& cellStateIn,

                         const TensorInfo& scratchBuffer,

                         const TensorInfo& outputStateOut,

                         const TensorInfo& cellStateOut,

                         const TensorInfo& output,

                         const LstmDescriptor& descriptor,

                         const LstmInputParamsInfo& paramsInfo,

                         Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsMaximumSupported(const TensorInfo& input0,

                            const TensorInfo& input1,

                            const TensorInfo& output,

                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsMeanSupported(const TensorInfo& input,

                         const TensorInfo& output,

                         const MeanDescriptor& descriptor,

                         Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsMinimumSupported(const TensorInfo& input0,

                            const TensorInfo& input1,

                            const TensorInfo& output,

                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsMultiplicationSupported(const TensorInfo& input0,

                                   const TensorInfo& input1,

                                   const TensorInfo& output,

                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsDivisionSupported(const TensorInfo& input0,

                             const TensorInfo& input1,

                             const TensorInfo& output,

                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsNormalizationSupported(const TensorInfo& input,

                                  const TensorInfo& output,

                                  const NormalizationDescriptor& descriptor,

                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsOutputSupported(const TensorInfo& output,

                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsPadSupported(const TensorInfo& input,

                        const TensorInfo& output,

                        const PadDescriptor& descriptor,

                        Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsPermuteSupported(const TensorInfo& input,

                            const TensorInfo& output,

                            const PermuteDescriptor& descriptor,

                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsPooling2dSupported(const TensorInfo& input,

                              const TensorInfo& output,

                              const Pooling2dDescriptor& descriptor,

                              Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;

    bool IsPooling3dSupported(const TensorInfo& input,

                              const TensorInfo& output,

                              const Pooling3dDescriptor& descriptor,

                              Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;

    bool IsPreluSupported(const TensorInfo& input,

                          const TensorInfo& alpha,

                          const TensorInfo& output,

                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsQLstmSupported(const TensorInfo& input,

                          const TensorInfo& previousOutputIn,

                          const TensorInfo& previousCellStateIn,

                          const TensorInfo& outputStateOut,

                          const TensorInfo& cellStateOut,

                          const TensorInfo& output,

                          const QLstmDescriptor& descriptor,

                          const LstmInputParamsInfo& paramsInfo,

                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsQuantizeSupported(const TensorInfo& input,

                             const TensorInfo& output,

                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsQuantizedLstmSupported(const TensorInfo& input,

                                  const TensorInfo& cellStateIn,

                                  const TensorInfo& outputStateIn,

                                  const TensorInfo& cellStateOut,

                                  const TensorInfo& outputStateOut,

                                  const QuantizedLstmInputParamsInfo& paramsInfo,

                                  Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsReduceSupported(const TensorInfo& input,

                           const TensorInfo& output,

                           const ReduceDescriptor& descriptor,

                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsReshapeSupported(const TensorInfo& input,

                            const TensorInfo& output,

                            const ReshapeDescriptor& descriptor,

                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsResizeSupported(const TensorInfo& input,

                           const TensorInfo& output,

                           const ResizeDescriptor& descriptor,

                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsReverseV2Supported(const TensorInfo& input,

                              const TensorInfo& axis,

                              const TensorInfo& output,

                              Optional<std::string&> reasonIfUnsupported) const;


    bool IsSliceSupported(const TensorInfo& input,

                          const TensorInfo& output,

                          const SliceDescriptor& descriptor,

                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsSoftmaxSupported(const TensorInfo& input,

                            const TensorInfo& output,

                            const SoftmaxDescriptor& descriptor,

                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsSpaceToBatchNdSupported(const TensorInfo& input,

                                   const TensorInfo& output,

                                   const SpaceToBatchNdDescriptor& descriptor,

                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsSpaceToDepthSupported(const TensorInfo& input,

                                 const TensorInfo& output,

                                 const SpaceToDepthDescriptor& descriptor,

                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsSplitterSupported(const TensorInfo& input,

                             const std::vector<std::reference_wrapper<TensorInfo>>& outputs,

                             const ViewsDescriptor& descriptor,

                             Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsStackSupported(const std::vector<const TensorInfo*>& inputs,

                          const TensorInfo& output,

                          const StackDescriptor& descriptor,

                          Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsStridedSliceSupported(const TensorInfo& input,

                                 const TensorInfo& output,

                                 const StridedSliceDescriptor& descriptor,

                                 Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsSubtractionSupported(const TensorInfo& input0,

                                const TensorInfo& input1,

                                const TensorInfo& output,

                                Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsTileSupported(const TensorInfo& input0,

                         const TensorInfo& output,

                         const TileDescriptor& descriptor,

                         Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsTransposeConvolution2dSupported(const TensorInfo& input,

                                           const TensorInfo& output,

                                           const TransposeConvolution2dDescriptor& descriptor,

                                           const TensorInfo& weights,

                                           const Optional<TensorInfo>& biases,

                                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsTransposeSupported(const TensorInfo& input,

                              const TensorInfo& output,

                              const TransposeDescriptor& descriptor,

                              Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;


    bool IsUnidirectionalSequenceLstmSupported(const TensorInfo& input,

                                               const TensorInfo& outputStateIn,

                                               const TensorInfo& cellStateIn,

                                               const TensorInfo& outputStateOut,

                                               const TensorInfo& cellStateOut,

                                               const TensorInfo& output,

                                               const UnidirectionalSequenceLstmDescriptor& descriptor,

                                               const LstmInputParamsInfo& paramsInfo,

                                               Optional<std::string&> reasonIfUnsupported) const;


private:

    const IBackendInternal::IBackendSpecificModelContextPtr m_ModelContextPtr;


}; // class NeonLayerSupport


} // namespace armnn